Linting:

- Improved code formatting for better clarity. - These changes aim to improve maintainability and clarity of the code.
Merge branch 'main' into pydantic_fixup
2025-12-16 12:28:30 +00:00 · 2025-01-05 11:35:58 +08:00 · 2025-01-05 11:27:18 +08:00 · 2025-01-05 11:04:47 +08:00 · 2025-01-04 16:30:20 -03:00 · 2025-01-04 13:44:33 -03:00
55 changed files with 2692 additions and 1047 deletions
--- a/.gitignore
+++ b/.gitignore
@@ -21,3 +21,4 @@ crew_tasks_output.json
 .mypy_cache
 .ruff_cache
 .venv
+agentops.log
--- a/docs/concepts/flows.mdx
+++ b/docs/concepts/flows.mdx
@@ -138,7 +138,7 @@ print("---- Final Output ----")
 print(final_output)
 ````

-``` text Output
+```text Output
 ---- Final Output ----
 Second method received: Output from first_method
 ````
--- a/docs/concepts/knowledge.mdx
+++ b/docs/concepts/knowledge.mdx
@@ -4,8 +4,6 @@ description: What is knowledge in CrewAI and how to use it.
 icon: book
 ---

-# Using Knowledge in CrewAI
-
 ## What is Knowledge?

 Knowledge in CrewAI is a powerful system that allows AI agents to access and utilize external information sources during their tasks.
@@ -36,7 +34,20 @@ CrewAI supports various types of knowledge sources out of the box:
  </Card>
 </CardGroup>

-## Quick Start
+## Supported Knowledge Parameters
+
+| Parameter                    | Type                                | Required | Description                                                                                                                                           |
+| :--------------------------- | :---------------------------------- | :------- | :---------------------------------------------------------------------------------------------------------------------------------------------------- |
+| `sources`                  | **List[BaseKnowledgeSource]**        | Yes      | List of knowledge sources that provide content to be stored and queried. Can include PDF, CSV, Excel, JSON, text files, or string content.           |
+| `collection_name`          | **str**                              | No       | Name of the collection where the knowledge will be stored. Used to identify different sets of knowledge. Defaults to "knowledge" if not provided.     |
+| `storage`                  | **Optional[KnowledgeStorage]**       | No       | Custom storage configuration for managing how the knowledge is stored and retrieved. If not provided, a default storage will be created.              |
+
+## Quickstart Example
+
+<Tip>
+For file-Based Knowledge Sources, make sure to place your files in a `knowledge` directory at the root of your project. 
+Also, use relative paths from the `knowledge` directory when creating the source.
+</Tip>

 Here's an example using string-based knowledge:

@@ -80,7 +91,8 @@ result = crew.kickoff(inputs={"question": "What city does John live in and how o
 ```


-Here's another example with the `CrewDoclingSource`
+Here's another example with the `CrewDoclingSource`. The CrewDoclingSource is actually quite versatile and can handle multiple file formats including TXT, PDF, DOCX, HTML, and more. 
+
 ```python Code
 from crewai import LLM, Agent, Crew, Process, Task
 from crewai.knowledge.source.crew_docling_source import CrewDoclingSource
@@ -128,39 +140,217 @@ result = crew.kickoff(
 )
 ```

+## More Examples
+
+Here are examples of how to use different types of knowledge sources:
+
+### Text File Knowledge Source
+```python
+from crewai.knowledge.source.crew_docling_source import CrewDoclingSource
+
+# Create a text file knowledge source
+text_source = CrewDoclingSource(
+    file_paths=["document.txt", "another.txt"]
+)
+
+# Create crew with text file source on agents or crew level
+agent = Agent(
+    ...
+    knowledge_sources=[text_source]
+)
+
+crew = Crew(
+    ...
+    knowledge_sources=[text_source]
+)
+```
+
+### PDF Knowledge Source
+```python
+from crewai.knowledge.source.pdf_knowledge_source import PDFKnowledgeSource
+
+# Create a PDF knowledge source
+pdf_source = PDFKnowledgeSource(
+    file_paths=["document.pdf", "another.pdf"]
+)
+
+# Create crew with PDF knowledge source on agents or crew level
+agent = Agent(
+    ...
+    knowledge_sources=[pdf_source]
+)
+
+crew = Crew(
+    ...
+    knowledge_sources=[pdf_source]
+)
+```
+
+### CSV Knowledge Source
+```python
+from crewai.knowledge.source.csv_knowledge_source import CSVKnowledgeSource
+
+# Create a CSV knowledge source
+csv_source = CSVKnowledgeSource(
+    file_paths=["data.csv"]
+)
+
+# Create crew with CSV knowledge source or on agent level
+agent = Agent(
+    ...
+    knowledge_sources=[csv_source]
+)
+
+crew = Crew(
+    ...
+    knowledge_sources=[csv_source]
+)
+```
+
+### Excel Knowledge Source
+```python
+from crewai.knowledge.source.excel_knowledge_source import ExcelKnowledgeSource
+
+# Create an Excel knowledge source
+excel_source = ExcelKnowledgeSource(
+    file_paths=["spreadsheet.xlsx"]
+)
+
+# Create crew with Excel knowledge source on agents or crew level
+agent = Agent(
+    ...
+    knowledge_sources=[excel_source]
+)
+
+crew = Crew(
+    ...
+    knowledge_sources=[excel_source]
+)
+```
+
+### JSON Knowledge Source
+```python
+from crewai.knowledge.source.json_knowledge_source import JSONKnowledgeSource
+
+# Create a JSON knowledge source
+json_source = JSONKnowledgeSource(
+    file_paths=["data.json"]
+)
+
+# Create crew with JSON knowledge source on agents or crew level
+agent = Agent(
+    ...
+    knowledge_sources=[json_source]
+)
+
+crew = Crew(
+    ...
+    knowledge_sources=[json_source]
+)
+```
+
 ## Knowledge Configuration

 ### Chunking Configuration

-Control how content is split for processing by setting the chunk size and overlap.
+Knowledge sources automatically chunk content for better processing. 
+You can configure chunking behavior in your knowledge sources:

-```python Code
-knowledge_source = StringKnowledgeSource(
-    content="Long content...",
-    chunk_size=4000,     # Characters per chunk (default)
-    chunk_overlap=200    # Overlap between chunks (default)
+```python
+from crewai.knowledge.source.string_knowledge_source import StringKnowledgeSource
+
+source = StringKnowledgeSource(
+    content="Your content here",
+    chunk_size=4000,      # Maximum size of each chunk (default: 4000)
+    chunk_overlap=200     # Overlap between chunks (default: 200)
 )
 ```

-## Embedder Configuration
+The chunking configuration helps in:
+- Breaking down large documents into manageable pieces
+- Maintaining context through chunk overlap
+- Optimizing retrieval accuracy

-You can also configure the embedder for the knowledge store. This is useful if you want to use a different embedder for the knowledge store than the one used for the agents.
+### Embeddings Configuration

-```python Code
-...
+You can also configure the embedder for the knowledge store. 
+This is useful if you want to use a different embedder for the knowledge store than the one used for the agents.
+The `embedder` parameter supports various embedding model providers that include:
+- `openai`: OpenAI's embedding models
+- `google`: Google's text embedding models
+- `azure`: Azure OpenAI embeddings
+- `ollama`: Local embeddings with Ollama
+- `vertexai`: Google Cloud VertexAI embeddings
+- `cohere`: Cohere's embedding models
+- `bedrock`: AWS Bedrock embeddings
+- `huggingface`: Hugging Face models
+- `watson`: IBM Watson embeddings
+
+Here's an example of how to configure the embedder for the knowledge store using Google's `text-embedding-004` model:
+<CodeGroup>
+```python Example
+from crewai import Agent, Task, Crew, Process, LLM
+from crewai.knowledge.source.string_knowledge_source import StringKnowledgeSource
+import os
+
+# Get the GEMINI API key
+GEMINI_API_KEY = os.environ.get("GEMINI_API_KEY")
+
+# Create a knowledge source
+content = "Users name is John. He is 30 years old and lives in San Francisco."
 string_source = StringKnowledgeSource(
-    content="Users name is John. He is 30 years old and lives in San Francisco.",
+    content=content,
 )
+
+# Create an LLM with a temperature of 0 to ensure deterministic outputs
+gemini_llm = LLM(
+    model="gemini/gemini-1.5-pro-002",
+    api_key=GEMINI_API_KEY,
+    temperature=0,
+)
+
+# Create an agent with the knowledge store
+agent = Agent(
+    role="About User",
+    goal="You know everything about the user.",
+    backstory="""You are a master at understanding people and their preferences.""",
+    verbose=True,
+    allow_delegation=False,
+    llm=gemini_llm,
+)
+
+task = Task(
+    description="Answer the following questions about the user: {question}",
+    expected_output="An answer to the question.",
+    agent=agent,
+)
+
 crew = Crew(
-    ...
+    agents=[agent],
+    tasks=[task],
+    verbose=True,
+    process=Process.sequential,
    knowledge_sources=[string_source],
    embedder={
-        "provider": "openai",
-        "config": {"model": "text-embedding-3-small"},
-    },
+        "provider": "google",
+        "config": {
+            "model": "models/text-embedding-004",
+            "api_key": GEMINI_API_KEY,
+        }
+    }
 )
-```

+result = crew.kickoff(inputs={"question": "What city does John live in and how old is he?"})
+```
+```text Output
+# Agent: About User
+## Task: Answer the following questions about the user: What city does John live in and how old is he?
+
+# Agent: About User
+## Final Answer: 
+John is 30 years old and lives in San Francisco.
+```
+</CodeGroup>
 ## Clearing Knowledge

 If you need to clear the knowledge stored in CrewAI, you can use the `crewai reset-memories` command with the `--knowledge` option.
--- a/docs/how-to/portkey-observability-and-guardrails.mdx
+++ b/docs/how-to/portkey-observability-and-guardrails.mdx
--- a/docs/how-to/portkey-observability.mdx
+++ b/docs/how-to/portkey-observability.mdx
@@ -0,0 +1,202 @@
+---
+title: Portkey Observability and Guardrails
+description: How to use Portkey with CrewAI
+icon: key
+---
+
+<img src="https://raw.githubusercontent.com/siddharthsambharia-portkey/Portkey-Product-Images/main/Portkey-CrewAI.png" alt="Portkey CrewAI Header Image" width="70%" />
+
+
+[Portkey](https://portkey.ai/?utm_source=crewai&utm_medium=crewai&utm_campaign=crewai) is a 2-line upgrade to make your CrewAI agents reliable, cost-efficient, and fast.
+
+Portkey adds 4 core production capabilities to any CrewAI agent:
+1. Routing to **200+ LLMs**
+2. Making each LLM call more robust
+3. Full-stack tracing & cost, performance analytics
+4. Real-time guardrails to enforce behavior
+
+## Getting Started
+
+<Steps>
+    <Step title="Install CrewAI and Portkey">
+    ```bash
+    pip install -qU crewai portkey-ai
+    ```
+    </Step>
+    <Step title="Configure the LLM Client">
+    To build CrewAI Agents with Portkey, you'll need two keys:
+    - **Portkey API Key**: Sign up on the [Portkey app](https://app.portkey.ai/?utm_source=crewai&utm_medium=crewai&utm_campaign=crewai) and copy your API key
+    - **Virtual Key**: Virtual Keys securely manage your LLM API keys in one place. Store your LLM provider API keys securely in Portkey's vault
+
+    ```python
+    from crewai import LLM
+    from portkey_ai import createHeaders, PORTKEY_GATEWAY_URL
+
+    gpt_llm = LLM(
+        model="gpt-4",
+        base_url=PORTKEY_GATEWAY_URL,
+        api_key="dummy", # We are using Virtual key
+        extra_headers=createHeaders(
+            api_key="YOUR_PORTKEY_API_KEY",
+            virtual_key="YOUR_VIRTUAL_KEY", # Enter your Virtual key from Portkey
+        )
+    )
+    ```
+    </Step>
+    <Step title="Create and Run Your First Agent">
+    ```python
+    from crewai import Agent, Task, Crew
+
+    # Define your agents with roles and goals
+    coder = Agent(
+        role='Software developer',
+        goal='Write clear, concise code on demand',
+        backstory='An expert coder with a keen eye for software trends.',
+        llm=gpt_llm
+    )
+
+    # Create tasks for your agents
+    task1 = Task(
+        description="Define the HTML for making a simple website with heading- Hello World! Portkey is working!",
+        expected_output="A clear and concise HTML code",
+        agent=coder
+    )
+
+    # Instantiate your crew
+    crew = Crew(
+        agents=[coder],
+        tasks=[task1],
+    )
+
+    result = crew.kickoff()
+    print(result)
+    ```
+    </Step>
+</Steps>
+
+## Key Features
+
+| Feature | Description |
+|:--------|:------------|
+| 🌐 Multi-LLM Support | Access OpenAI, Anthropic, Gemini, Azure, and 250+ providers through a unified interface |
+| 🛡️ Production Reliability | Implement retries, timeouts, load balancing, and fallbacks |
+| 📊 Advanced Observability | Track 40+ metrics including costs, tokens, latency, and custom metadata |
+| 🔍 Comprehensive Logging | Debug with detailed execution traces and function call logs |
+| 🚧 Security Controls | Set budget limits and implement role-based access control |
+| 🔄 Performance Analytics | Capture and analyze feedback for continuous improvement |
+| 💾 Intelligent Caching | Reduce costs and latency with semantic or simple caching |
+
+
+## Production Features with Portkey Configs
+
+All features mentioned below are through Portkey's Config system. Portkey's Config system allows you to define routing strategies using simple JSON objects in your LLM API calls. You can create and manage Configs directly in your code or through the Portkey Dashboard. Each Config has a unique ID for easy reference.
+
+<Frame>
+    <img src="https://raw.githubusercontent.com/Portkey-AI/docs-core/refs/heads/main/images/libraries/libraries-3.avif"/>
+</Frame>
+
+
+### 1. Use 250+ LLMs
+Access various LLMs like Anthropic, Gemini, Mistral, Azure OpenAI, and more with minimal code changes. Switch between providers or use them together seamlessly. [Learn more about Universal API](https://portkey.ai/docs/product/ai-gateway/universal-api)
+
+
+Easily switch between different LLM providers:
+
+```python
+# Anthropic Configuration
+anthropic_llm = LLM(
+    model="claude-3-5-sonnet-latest",
+    base_url=PORTKEY_GATEWAY_URL,
+    api_key="dummy",
+    extra_headers=createHeaders(
+        api_key="YOUR_PORTKEY_API_KEY",
+        virtual_key="YOUR_ANTHROPIC_VIRTUAL_KEY", #You don't need provider when using Virtual keys
+        trace_id="anthropic_agent"
+    )
+)
+
+# Azure OpenAI Configuration
+azure_llm = LLM(
+    model="gpt-4",
+    base_url=PORTKEY_GATEWAY_URL,
+    api_key="dummy",
+    extra_headers=createHeaders(
+        api_key="YOUR_PORTKEY_API_KEY",
+        virtual_key="YOUR_AZURE_VIRTUAL_KEY", #You don't need provider when using Virtual keys
+        trace_id="azure_agent"
+    )
+)
+```
+
+
+### 2. Caching
+Improve response times and reduce costs with two powerful caching modes:
+- **Simple Cache**: Perfect for exact matches
+- **Semantic Cache**: Matches responses for requests that are semantically similar
+[Learn more about Caching](https://portkey.ai/docs/product/ai-gateway/cache-simple-and-semantic)
+
+```py
+config = {
+    "cache": {
+        "mode": "semantic",  # or "simple" for exact matching
+    }
+}
+```
+
+### 3. Production Reliability
+Portkey provides comprehensive reliability features:
+- **Automatic Retries**: Handle temporary failures gracefully
+- **Request Timeouts**: Prevent hanging operations
+- **Conditional Routing**: Route requests based on specific conditions
+- **Fallbacks**: Set up automatic provider failovers
+- **Load Balancing**: Distribute requests efficiently
+
+[Learn more about Reliability Features](https://portkey.ai/docs/product/ai-gateway/)
+
+
+
+### 4. Metrics
+
+Agent runs are complex. Portkey automatically logs **40+ comprehensive metrics** for your AI agents, including cost, tokens used, latency, etc. Whether you need a broad overview or granular insights into your agent runs, Portkey's customizable filters provide the metrics you need.
+
+
+- Cost per agent interaction
+- Response times and latency
+- Token usage and efficiency
+- Success/failure rates
+- Cache hit rates
+
+<img src="https://github.com/siddharthsambharia-portkey/Portkey-Product-Images/blob/main/Portkey-Dashboard.png?raw=true" width="70%" alt="Portkey Dashboard" />
+
+### 5. Detailed Logging
+Logs are essential for understanding agent behavior, diagnosing issues, and improving performance. They provide a detailed record of agent activities and tool use, which is crucial for debugging and optimizing processes.
+
+
+Access a dedicated section to view records of agent executions, including parameters, outcomes, function calls, and errors. Filter logs based on multiple parameters such as trace ID, model, tokens used, and metadata.
+
+<details>
+  <summary><b>Traces</b></summary>
+  <img src="https://raw.githubusercontent.com/siddharthsambharia-portkey/Portkey-Product-Images/main/Portkey-Traces.png" alt="Portkey Traces" width="70%" />
+</details>
+
+<details>
+  <summary><b>Logs</b></summary>
+  <img src="https://raw.githubusercontent.com/siddharthsambharia-portkey/Portkey-Product-Images/main/Portkey-Logs.png" alt="Portkey Logs" width="70%" />
+</details>
+
+### 6. Enterprise Security Features
+- Set budget limit and rate limts per Virtual Key (disposable API keys)
+- Implement role-based access control
+- Track system changes with audit logs
+- Configure data retention policies
+
+
+
+For detailed information on creating and managing Configs, visit the [Portkey documentation](https://docs.portkey.ai/product/ai-gateway/configs).
+
+## Resources
+
+- [📘 Portkey Documentation](https://docs.portkey.ai)
+- [📊 Portkey Dashboard](https://app.portkey.ai/?utm_source=crewai&utm_medium=crewai&utm_campaign=crewai)
+- [🐦 Twitter](https://twitter.com/portkeyai)
+- [💬 Discord Community](https://discord.gg/DD7vgKK299)
--- a/docs/mint.json
+++ b/docs/mint.json
@@ -100,7 +100,8 @@
        "how-to/conditional-tasks",
        "how-to/agentops-observability",
        "how-to/langtrace-observability",
-        "how-to/openlit-observability"
+        "how-to/openlit-observability",
+        "how-to/portkey-observability"
      ]
    },
    {
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,6 +1,6 @@
 [project]
 name = "crewai"
-version = "0.86.0"
+version = "0.95.0"
 description = "Cutting-edge framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks."
 readme = "README.md"
 requires-python = ">=3.10,<3.13"
@@ -13,25 +13,25 @@ dependencies = [
    "openai>=1.13.3",
    "litellm>=1.44.22",
    "instructor>=1.3.3",
-    
+
    # Text Processing
    "pdfplumber>=0.11.4",
    "regex>=2024.9.11",
-    
+
    # Telemetry and Monitoring
    "opentelemetry-api>=1.22.0",
    "opentelemetry-sdk>=1.22.0",
    "opentelemetry-exporter-otlp-proto-http>=1.22.0",
-    
+
    # Data Handling
    "chromadb>=0.5.23",
    "openpyxl>=3.1.5",
    "pyvis>=0.3.2",
-    
+
    # Authentication and Security
    "auth0-python>=4.7.1",
    "python-dotenv>=1.0.0",
-    
+
    # Configuration and Utils
    "click>=8.1.7",
    "appdirs>=1.4.4",
@@ -40,7 +40,7 @@ dependencies = [
    "uv>=0.4.25",
    "tomli-w>=1.1.0",
    "tomli>=2.0.2",
-    "blinker>=1.9.0",
+    "blinker>=1.9.0"
 ]

 [project.urls]
@@ -49,7 +49,7 @@ Documentation = "https://docs.crewai.com"
 Repository = "https://github.com/crewAIInc/crewAI"

 [project.optional-dependencies]
-tools = ["crewai-tools>=0.17.0"]
+tools = ["crewai-tools>=0.25.5"]
 embeddings = [
    "tiktoken~=0.7.0"
 ]
--- a/src/crewai/init.py
+++ b/src/crewai/init.py
@@ -14,7 +14,7 @@ warnings.filterwarnings(
    category=UserWarning,
    module="pydantic.main",
 )
-__version__ = "0.86.0"
+__version__ = "0.95.0"
 __all__ = [
    "Agent",
    "Crew",
--- a/src/crewai/cli/templates/crew/pyproject.toml
+++ b/src/crewai/cli/templates/crew/pyproject.toml
@@ -5,7 +5,7 @@ description = "{{name}} using crewAI"
 authors = [{ name = "Your Name", email = "you@example.com" }]
 requires-python = ">=3.10,<3.13"
 dependencies = [
-    "crewai[tools]>=0.86.0,<1.0.0"
+    "crewai[tools]>=0.95.0,<1.0.0"
 ]

 [project.scripts]
--- a/src/crewai/cli/templates/flow/pyproject.toml
+++ b/src/crewai/cli/templates/flow/pyproject.toml
@@ -5,7 +5,7 @@ description = "{{name}} using crewAI"
 authors = [{ name = "Your Name", email = "you@example.com" }]
 requires-python = ">=3.10,<3.13"
 dependencies = [
-    "crewai[tools]>=0.86.0,<1.0.0",
+    "crewai[tools]>=0.95.0,<1.0.0",
 ]

 [project.scripts]
--- a/src/crewai/cli/templates/tool/pyproject.toml
+++ b/src/crewai/cli/templates/tool/pyproject.toml
@@ -5,7 +5,7 @@ description = "Power up your crews with {{folder_name}}"
 readme = "README.md"
 requires-python = ">=3.10,<3.13"
 dependencies = [
-    "crewai[tools]>=0.86.0"
+    "crewai[tools]>=0.95.0"
 ]

 [tool.crewai]
--- a/src/crewai/crew.py
+++ b/src/crewai/crew.py
@@ -726,11 +726,7 @@ class Crew(BaseModel):

            # Determine which tools to use - task tools take precedence over agent tools
            tools_for_task = task.tools or agent_to_use.tools or []
-            tools_for_task = self._prepare_tools(
-                agent_to_use,
-                task,
-                tools_for_task
-            )
+            tools_for_task = self._prepare_tools(agent_to_use, task, tools_for_task)

            self._log_task_start(task, agent_to_use.role)

@@ -797,14 +793,18 @@ class Crew(BaseModel):
            return skipped_task_output
        return None

-    def _prepare_tools(self, agent: BaseAgent, task: Task, tools: List[Tool]) -> List[Tool]:
+    def _prepare_tools(
+        self, agent: BaseAgent, task: Task, tools: List[Tool]
+    ) -> List[Tool]:
        # Add delegation tools if agent allows delegation
        if agent.allow_delegation:
            if self.process == Process.hierarchical:
                if self.manager_agent:
                    tools = self._update_manager_tools(task, tools)
                else:
-                    raise ValueError("Manager agent is required for hierarchical process.")
+                    raise ValueError(
+                        "Manager agent is required for hierarchical process."
+                    )

            elif agent and agent.allow_delegation:
                tools = self._add_delegation_tools(task, tools)
@@ -823,7 +823,9 @@ class Crew(BaseModel):
            return self.manager_agent
        return task.agent

-    def _merge_tools(self, existing_tools: List[Tool], new_tools: List[Tool]) -> List[Tool]:
+    def _merge_tools(
+        self, existing_tools: List[Tool], new_tools: List[Tool]
+    ) -> List[Tool]:
        """Merge new tools into existing tools list, avoiding duplicates by tool name."""
        if not new_tools:
            return existing_tools
@@ -839,7 +841,9 @@ class Crew(BaseModel):

        return tools

-    def _inject_delegation_tools(self, tools: List[Tool], task_agent: BaseAgent, agents: List[BaseAgent]):
+    def _inject_delegation_tools(
+        self, tools: List[Tool], task_agent: BaseAgent, agents: List[BaseAgent]
+    ):
        delegation_tools = task_agent.get_delegation_tools(agents)
        return self._merge_tools(tools, delegation_tools)

@@ -856,7 +860,9 @@ class Crew(BaseModel):
        if len(self.agents) > 1 and len(agents_for_delegation) > 0 and task.agent:
            if not tools:
                tools = []
-            tools = self._inject_delegation_tools(tools, task.agent, agents_for_delegation)
+            tools = self._inject_delegation_tools(
+                tools, task.agent, agents_for_delegation
+            )
        return tools

    def _log_task_start(self, task: Task, role: str = "None"):
@@ -870,7 +876,9 @@ class Crew(BaseModel):
            if task.agent:
                tools = self._inject_delegation_tools(tools, task.agent, [task.agent])
            else:
-                tools = self._inject_delegation_tools(tools, self.manager_agent, self.agents)
+                tools = self._inject_delegation_tools(
+                    tools, self.manager_agent, self.agents
+                )
        return tools

    def _get_context(self, task: Task, task_outputs: List[TaskOutput]):
--- a/src/crewai/knowledge/source/crew_docling_source.py
+++ b/src/crewai/knowledge/source/crew_docling_source.py
@@ -2,11 +2,16 @@ from pathlib import Path
 from typing import Iterator, List, Optional, Union
 from urllib.parse import urlparse

-from docling.datamodel.base_models import InputFormat
-from docling.document_converter import DocumentConverter
-from docling.exceptions import ConversionError
-from docling_core.transforms.chunker.hierarchical_chunker import HierarchicalChunker
-from docling_core.types.doc.document import DoclingDocument
+try:
+    from docling.datamodel.base_models import InputFormat
+    from docling.document_converter import DocumentConverter
+    from docling.exceptions import ConversionError
+    from docling_core.transforms.chunker.hierarchical_chunker import HierarchicalChunker
+    from docling_core.types.doc.document import DoclingDocument
+    DOCLING_AVAILABLE = True
+except ImportError:
+    DOCLING_AVAILABLE = False
+
 from pydantic import Field

 from crewai.knowledge.source.base_knowledge_source import BaseKnowledgeSource
@@ -19,6 +24,14 @@ class CrewDoclingSource(BaseKnowledgeSource):
    This will auto support PDF, DOCX, and TXT, XLSX, Images, and HTML files without any additional dependencies and follows the docling package as the source of truth.
    """

+    def __init__(self, *args, **kwargs):
+        if not DOCLING_AVAILABLE:
+            raise ImportError(
+                "The docling package is required to use CrewDoclingSource. "
+                "Please install it using: uv add docling"
+            )
+        super().__init__(*args, **kwargs)
+
    _logger: Logger = Logger(verbose=True)

    file_path: Optional[List[Union[Path, str]]] = Field(default=None)
--- a/src/crewai/llm.py
+++ b/src/crewai/llm.py
@@ -4,10 +4,13 @@ import sys
 import threading
 import warnings
 from contextlib import contextmanager
+from importlib import resources
 from typing import Any, Dict, List, Optional, Union

-import litellm
-from litellm import get_supported_openai_params
+with warnings.catch_warnings():
+    warnings.simplefilter("ignore", UserWarning)
+    import litellm
+    from litellm import get_supported_openai_params

 from crewai.utilities.exceptions.context_window_exceeding_exception import (
    LLMContextLengthExceededException,
@@ -76,6 +79,7 @@ CONTEXT_WINDOW_USAGE_RATIO = 0.75
 def suppress_warnings():
    with warnings.catch_warnings():
        warnings.filterwarnings("ignore")
+        warnings.filterwarnings("ignore", message="open_text is deprecated*", category=DeprecationWarning)

        # Redirect stdout and stderr
        old_stdout = sys.stdout
@@ -138,7 +142,7 @@ class LLM:
        self.kwargs = kwargs

        litellm.drop_params = True
-        litellm.set_verbose = False
+
        self.set_callbacks(callbacks)
        self.set_env_callbacks()

@@ -214,16 +218,17 @@ class LLM:
        return self.context_window_size

    def set_callbacks(self, callbacks: List[Any]):
-        callback_types = [type(callback) for callback in callbacks]
-        for callback in litellm.success_callback[:]:
-            if type(callback) in callback_types:
-                litellm.success_callback.remove(callback)
+        with suppress_warnings():
+            callback_types = [type(callback) for callback in callbacks]
+            for callback in litellm.success_callback[:]:
+                if type(callback) in callback_types:
+                    litellm.success_callback.remove(callback)

-        for callback in litellm._async_success_callback[:]:
-            if type(callback) in callback_types:
-                litellm._async_success_callback.remove(callback)
+            for callback in litellm._async_success_callback[:]:
+                if type(callback) in callback_types:
+                    litellm._async_success_callback.remove(callback)

-        litellm.callbacks = callbacks
+            litellm.callbacks = callbacks

    def set_env_callbacks(self):
        """
@@ -244,19 +249,20 @@ class LLM:
        This will set `litellm.success_callback` to ["langfuse", "langsmith"] and
        `litellm.failure_callback` to ["langfuse"].
        """
-        success_callbacks_str = os.environ.get("LITELLM_SUCCESS_CALLBACKS", "")
-        success_callbacks = []
-        if success_callbacks_str:
-            success_callbacks = [
-                callback.strip() for callback in success_callbacks_str.split(",")
-            ]
+        with suppress_warnings():
+            success_callbacks_str = os.environ.get("LITELLM_SUCCESS_CALLBACKS", "")
+            success_callbacks = []
+            if success_callbacks_str:
+                success_callbacks = [
+                    callback.strip() for callback in success_callbacks_str.split(",")
+                ]

-        failure_callbacks_str = os.environ.get("LITELLM_FAILURE_CALLBACKS", "")
-        failure_callbacks = []
-        if failure_callbacks_str:
-            failure_callbacks = [
-                callback.strip() for callback in failure_callbacks_str.split(",")
-            ]
+            failure_callbacks_str = os.environ.get("LITELLM_FAILURE_CALLBACKS", "")
+            failure_callbacks = []
+            if failure_callbacks_str:
+                failure_callbacks = [
+                    callback.strip() for callback in failure_callbacks_str.split(",")
+                ]

-        litellm.success_callback = success_callbacks
-        litellm.failure_callback = failure_callbacks
+            litellm.success_callback = success_callbacks
+            litellm.failure_callback = failure_callbacks
--- a/src/crewai/project/annotations.py
+++ b/src/crewai/project/annotations.py
@@ -4,18 +4,23 @@ from typing import Callable
 from crewai import Crew
 from crewai.project.utils import memoize

+"""Decorators for defining crew components and their behaviors."""
+

 def before_kickoff(func):
+    """Marks a method to execute before crew kickoff."""
    func.is_before_kickoff = True
    return func


 def after_kickoff(func):
+    """Marks a method to execute after crew kickoff."""
    func.is_after_kickoff = True
    return func


 def task(func):
+    """Marks a method as a crew task."""
    func.is_task = True

    @wraps(func)
@@ -29,43 +34,51 @@ def task(func):


 def agent(func):
+    """Marks a method as a crew agent."""
    func.is_agent = True
    func = memoize(func)
    return func


 def llm(func):
+    """Marks a method as an LLM provider."""
    func.is_llm = True
    func = memoize(func)
    return func


 def output_json(cls):
+    """Marks a class as JSON output format."""
    cls.is_output_json = True
    return cls


 def output_pydantic(cls):
+    """Marks a class as Pydantic output format."""
    cls.is_output_pydantic = True
    return cls


 def tool(func):
+    """Marks a method as a crew tool."""
    func.is_tool = True
    return memoize(func)


 def callback(func):
+    """Marks a method as a crew callback."""
    func.is_callback = True
    return memoize(func)


 def cache_handler(func):
+    """Marks a method as a cache handler."""
    func.is_cache_handler = True
    return memoize(func)


 def crew(func) -> Callable[..., Crew]:
+    """Marks a method as the main crew execution point."""

    @wraps(func)
    def wrapper(self, *args, **kwargs) -> Crew:
--- a/src/crewai/project/crew_base.py
+++ b/src/crewai/project/crew_base.py
@@ -9,8 +9,10 @@ load_dotenv()

 T = TypeVar("T", bound=type)

+"""Base decorator for creating crew classes with configuration and function management."""

 def CrewBase(cls: T) -> T:
+    """Wraps a class with crew functionality and configuration management."""
    class WrappedClass(cls):  # type: ignore
        is_crew_class: bool = True  # type: ignore

@@ -216,5 +218,5 @@ def CrewBase(cls: T) -> T:
    # Include base class (qual)name in the wrapper class (qual)name.
    WrappedClass.__name__ = CrewBase.__name__ + "(" + cls.__name__ + ")"
    WrappedClass.__qualname__ = CrewBase.__qualname__ + "(" + cls.__name__ + ")"
-  
+
    return cast(T, WrappedClass)
--- a/src/crewai/task.py
+++ b/src/crewai/task.py
@@ -41,6 +41,7 @@ from crewai.tools.base_tool import BaseTool
 from crewai.utilities.config import process_config
 from crewai.utilities.converter import Converter, convert_to_model
 from crewai.utilities.i18n import I18N
+from crewai.utilities.printer import Printer


 class Task(BaseModel):
@@ -127,38 +128,40 @@ class Task(BaseModel):
    processed_by_agents: Set[str] = Field(default_factory=set)
    guardrail: Optional[Callable[[TaskOutput], Tuple[bool, Any]]] = Field(
        default=None,
-        description="Function to validate task output before proceeding to next task"
+        description="Function to validate task output before proceeding to next task",
    )
    max_retries: int = Field(
-        default=3,
-        description="Maximum number of retries when guardrail fails"
+        default=3, description="Maximum number of retries when guardrail fails"
    )
-    retry_count: int = Field(
-        default=0,
-        description="Current number of retries"
+    retry_count: int = Field(default=0, description="Current number of retries")
+    start_time: Optional[datetime.datetime] = Field(
+        default=None, description="Start time of the task execution"
+    )
+    end_time: Optional[datetime.datetime] = Field(
+        default=None, description="End time of the task execution"
    )

    @field_validator("guardrail")
    @classmethod
    def validate_guardrail_function(cls, v: Optional[Callable]) -> Optional[Callable]:
        """Validate that the guardrail function has the correct signature and behavior.
-        
+
        While type hints provide static checking, this validator ensures runtime safety by:
        1. Verifying the function accepts exactly one parameter (the TaskOutput)
        2. Checking return type annotations match Tuple[bool, Any] if present
        3. Providing clear, immediate error messages for debugging
-        
+
        This runtime validation is crucial because:
        - Type hints are optional and can be ignored at runtime
        - Function signatures need immediate validation before task execution
        - Clear error messages help users debug guardrail implementation issues
-        
+
        Args:
            v: The guardrail function to validate
-            
+
        Returns:
            The validated guardrail function
-            
+
        Raises:
            ValueError: If the function signature is invalid or return annotation
                       doesn't match Tuple[bool, Any]
@@ -171,8 +174,13 @@ class Task(BaseModel):
            # Check return annotation if present, but don't require it
            return_annotation = sig.return_annotation
            if return_annotation != inspect.Signature.empty:
-                if not (return_annotation == Tuple[bool, Any] or str(return_annotation) == 'Tuple[bool, Any]'):
-                    raise ValueError("If return type is annotated, it must be Tuple[bool, Any]")
+                if not (
+                    return_annotation == Tuple[bool, Any]
+                    or str(return_annotation) == "Tuple[bool, Any]"
+                ):
+                    raise ValueError(
+                        "If return type is annotated, it must be Tuple[bool, Any]"
+                    )
        return v

    _telemetry: Telemetry = PrivateAttr(default_factory=Telemetry)
@@ -181,7 +189,6 @@ class Task(BaseModel):
    _original_expected_output: Optional[str] = PrivateAttr(default=None)
    _original_output_file: Optional[str] = PrivateAttr(default=None)
    _thread: Optional[threading.Thread] = PrivateAttr(default=None)
-    _execution_time: Optional[float] = PrivateAttr(default=None)

    @model_validator(mode="before")
    @classmethod
@@ -206,25 +213,19 @@ class Task(BaseModel):
                "may_not_set_field", "This field is not to be set by the user.", {}
            )

-    def _set_start_execution_time(self) -> float:
-        return datetime.datetime.now().timestamp()
-
-    def _set_end_execution_time(self, start_time: float) -> None:
-        self._execution_time = datetime.datetime.now().timestamp() - start_time
-
    @field_validator("output_file")
    @classmethod
    def output_file_validation(cls, value: Optional[str]) -> Optional[str]:
        """Validate the output file path.
-        
+
        Args:
            value: The output file path to validate. Can be None or a string.
                  If the path contains template variables (e.g. {var}), leading slashes are preserved.
                  For regular paths, leading slashes are stripped.
-        
+
        Returns:
            The validated and potentially modified path, or None if no path was provided.
-            
+
        Raises:
            ValueError: If the path contains invalid characters, path traversal attempts,
                      or other security concerns.
@@ -234,18 +235,24 @@ class Task(BaseModel):

        # Basic security checks
        if ".." in value:
-            raise ValueError("Path traversal attempts are not allowed in output_file paths")
-        
+            raise ValueError(
+                "Path traversal attempts are not allowed in output_file paths"
+            )
+
        # Check for shell expansion first
-        if value.startswith('~') or value.startswith('$'):
-            raise ValueError("Shell expansion characters are not allowed in output_file paths")
-            
+        if value.startswith("~") or value.startswith("$"):
+            raise ValueError(
+                "Shell expansion characters are not allowed in output_file paths"
+            )
+
        # Then check other shell special characters
-        if any(char in value for char in ['|', '>', '<', '&', ';']):
-            raise ValueError("Shell special characters are not allowed in output_file paths")
+        if any(char in value for char in ["|", ">", "<", "&", ";"]):
+            raise ValueError(
+                "Shell special characters are not allowed in output_file paths"
+            )

        # Don't strip leading slash if it's a template path with variables
-        if "{" in value or "}" in value: 
+        if "{" in value or "}" in value:
            # Validate template variable format
            template_vars = [part.split("}")[0] for part in value.split("{")[1:]]
            for var in template_vars:
@@ -302,6 +309,12 @@ class Task(BaseModel):

        return md5("|".join(source).encode(), usedforsecurity=False).hexdigest()

+    @property
+    def execution_duration(self) -> float | None:
+        if not self.start_time or not self.end_time:
+            return None
+        return (self.end_time - self.start_time).total_seconds()
+
    def execute_async(
        self,
        agent: BaseAgent | None = None,
@@ -342,7 +355,7 @@ class Task(BaseModel):
                f"The task '{self.description}' has no agent assigned, therefore it can't be executed directly and should be executed in a Crew using a specific process that support that, like hierarchical."
            )

-        start_time = self._set_start_execution_time()
+        self.start_time = datetime.datetime.now()
        self._execution_span = self._telemetry.task_started(crew=agent.crew, task=self)

        self.prompt_context = context
@@ -378,10 +391,14 @@ class Task(BaseModel):
                    )

                self.retry_count += 1
-                context = (
-                    f"### Previous attempt failed validation: {guardrail_result.error}\n\n\n"
-                    f"### Previous result:\n{task_output.raw}\n\n\n"
-                    "Try again, making sure to address the validation error."
+                context = self.i18n.errors("validation_error").format(
+                    guardrail_result_error=guardrail_result.error,
+                    task_output=task_output.raw
+                )
+                printer = Printer()
+                printer.print(
+                    content=f"Guardrail blocked, retrying, due to:{guardrail_result.error}\n",
+                    color="yellow",
                )
                return self._execute_core(agent, context, tools)

@@ -392,15 +409,17 @@ class Task(BaseModel):

            if isinstance(guardrail_result.result, str):
                task_output.raw = guardrail_result.result
-                pydantic_output, json_output = self._export_output(guardrail_result.result)
+                pydantic_output, json_output = self._export_output(
+                    guardrail_result.result
+                )
                task_output.pydantic = pydantic_output
                task_output.json_dict = json_output
            elif isinstance(guardrail_result.result, TaskOutput):
                task_output = guardrail_result.result

        self.output = task_output
+        self.end_time = datetime.datetime.now()

-        self._set_end_execution_time(start_time)
        if self.callback:
            self.callback(self.output)

@@ -412,7 +431,9 @@ class Task(BaseModel):
            content = (
                json_output
                if json_output
-                else pydantic_output.model_dump_json() if pydantic_output else result
+                else pydantic_output.model_dump_json()
+                if pydantic_output
+                else result
            )
            self._save_file(content)

@@ -434,11 +455,11 @@ class Task(BaseModel):

    def interpolate_inputs(self, inputs: Dict[str, Union[str, int, float]]) -> None:
        """Interpolate inputs into the task description, expected output, and output file path.
-        
+
        Args:
            inputs: Dictionary mapping template variables to their values.
                   Supported value types are strings, integers, and floats.
-        
+
        Raises:
            ValueError: If a required template variable is missing from inputs.
        """
@@ -455,7 +476,9 @@ class Task(BaseModel):
        try:
            self.description = self._original_description.format(**inputs)
        except KeyError as e:
-            raise ValueError(f"Missing required template variable '{e.args[0]}' in description") from e
+            raise ValueError(
+                f"Missing required template variable '{e.args[0]}' in description"
+            ) from e
        except ValueError as e:
            raise ValueError(f"Error interpolating description: {str(e)}") from e

@@ -472,22 +495,26 @@ class Task(BaseModel):
                    input_string=self._original_output_file, inputs=inputs
                )
            except (KeyError, ValueError) as e:
-                raise ValueError(f"Error interpolating output_file path: {str(e)}") from e
+                raise ValueError(
+                    f"Error interpolating output_file path: {str(e)}"
+                ) from e

-    def interpolate_only(self, input_string: Optional[str], inputs: Dict[str, Union[str, int, float]]) -> str:
+    def interpolate_only(
+        self, input_string: Optional[str], inputs: Dict[str, Union[str, int, float]]
+    ) -> str:
        """Interpolate placeholders (e.g., {key}) in a string while leaving JSON untouched.
-        
+
        Args:
            input_string: The string containing template variables to interpolate.
                         Can be None or empty, in which case an empty string is returned.
            inputs: Dictionary mapping template variables to their values.
                   Supported value types are strings, integers, and floats.
                   If input_string is empty or has no placeholders, inputs can be empty.
-        
+
        Returns:
            The interpolated string with all template variables replaced with their values.
            Empty string if input_string is None or empty.
-            
+
        Raises:
            ValueError: If a required template variable is missing from inputs.
            KeyError: If a template variable is not found in the inputs dictionary.
@@ -497,13 +524,17 @@ class Task(BaseModel):
        if "{" not in input_string and "}" not in input_string:
            return input_string
        if not inputs:
-            raise ValueError("Inputs dictionary cannot be empty when interpolating variables")
+            raise ValueError(
+                "Inputs dictionary cannot be empty when interpolating variables"
+            )

        try:
            # Validate input types
            for key, value in inputs.items():
                if not isinstance(value, (str, int, float)):
-                    raise ValueError(f"Value for key '{key}' must be a string, integer, or float, got {type(value).__name__}")
+                    raise ValueError(
+                        f"Value for key '{key}' must be a string, integer, or float, got {type(value).__name__}"
+                    )

            escaped_string = input_string.replace("{", "{{").replace("}", "}}")

@@ -512,7 +543,9 @@ class Task(BaseModel):

            return escaped_string.format(**inputs)
        except KeyError as e:
-            raise KeyError(f"Template variable '{e.args[0]}' not found in inputs dictionary") from e
+            raise KeyError(
+                f"Template variable '{e.args[0]}' not found in inputs dictionary"
+            ) from e
        except ValueError as e:
            raise ValueError(f"Error during string interpolation: {str(e)}") from e

@@ -597,10 +630,10 @@ class Task(BaseModel):

    def _save_file(self, result: Any) -> None:
        """Save task output to a file.
-        
+
        Args:
            result: The result to save to the file. Can be a dict or any stringifiable object.
-            
+
        Raises:
            ValueError: If output_file is not set
            RuntimeError: If there is an error writing to the file
@@ -618,6 +651,7 @@ class Task(BaseModel):
            with resolved_path.open("w", encoding="utf-8") as file:
                if isinstance(result, dict):
                    import json
+
                    json.dump(result, file, ensure_ascii=False, indent=2)
                else:
                    file.write(str(result))
--- a/src/crewai/tools/agent_tools/base_agent_tools.py
+++ b/src/crewai/tools/agent_tools/base_agent_tools.py
@@ -1,5 +1,5 @@
 import logging
-from typing import Optional, Union
+from typing import Optional

 from pydantic import Field

@@ -54,12 +54,12 @@ class BaseAgentTool(BaseTool):
    ) -> str:
        """
        Execute delegation to an agent with case-insensitive and whitespace-tolerant matching.
-        
+
        Args:
            agent_name: Name/role of the agent to delegate to (case-insensitive)
            task: The specific question or task to delegate
            context: Optional additional context for the task execution
-            
+
        Returns:
            str: The execution result from the delegated agent or an error message
                 if the agent cannot be found
--- a/src/crewai/tools/base_tool.py
+++ b/src/crewai/tools/base_tool.py
@@ -1,12 +1,23 @@
+import warnings
 from abc import ABC, abstractmethod
 from inspect import signature
 from typing import Any, Callable, Type, get_args, get_origin

-from pydantic import BaseModel, ConfigDict, Field, create_model, validator
+from pydantic import (
+    BaseModel,
+    ConfigDict,
+    Field,
+    PydanticDeprecatedSince20,
+    create_model,
+    validator,
+)
 from pydantic import BaseModel as PydanticBaseModel

 from crewai.tools.structured_tool import CrewStructuredTool

+# Ignore all "PydanticDeprecatedSince20" warnings globally
+warnings.filterwarnings("ignore", category=PydanticDeprecatedSince20)
+

 class BaseTool(BaseModel, ABC):
    class _ArgsSchemaPlaceholder(PydanticBaseModel):
--- a/src/crewai/tools/tool_usage.py
+++ b/src/crewai/tools/tool_usage.py
@@ -19,7 +19,15 @@ try:
    import agentops  # type: ignore
 except ImportError:
    agentops = None
-OPENAI_BIGGER_MODELS = ["gpt-4", "gpt-4o", "o1-preview", "o1-mini", "o1", "o3", "o3-mini"]
+OPENAI_BIGGER_MODELS = [
+    "gpt-4",
+    "gpt-4o",
+    "o1-preview",
+    "o1-mini",
+    "o1",
+    "o3",
+    "o3-mini",
+]


 class ToolUsageErrorException(Exception):
@@ -104,7 +112,10 @@ class ToolUsage:
                self._printer.print(content=f"\n\n{error}\n", color="red")
            return error

-        if isinstance(tool, CrewStructuredTool) and tool.name == self._i18n.tools("add_image")["name"]:  # type: ignore
+        if (
+            isinstance(tool, CrewStructuredTool)
+            and tool.name == self._i18n.tools("add_image")["name"]
+        ):  # type: ignore
            try:
                result = self._use(tool_string=tool_string, tool=tool, calling=calling)
                return result
@@ -169,7 +180,9 @@ class ToolUsage:

                if calling.arguments:
                    try:
-                        acceptable_args = tool.args_schema.schema()["properties"].keys()  # type: ignore # Item "None" of "type[BaseModel] | None" has no attribute "schema"
+                        acceptable_args = tool.args_schema.model_json_schema()[
+                            "properties"
+                        ].keys()  # type: ignore # Item "None" of "type[BaseModel] | None" has no attribute "schema"
                        arguments = {
                            k: v
                            for k, v in calling.arguments.items()
--- a/src/crewai/translations/en.json
+++ b/src/crewai/translations/en.json
@@ -34,7 +34,8 @@
    "tool_arguments_error": "Error: the Action Input is not a valid key, value dictionary.",
    "wrong_tool_name": "You tried to use the tool {tool}, but it doesn't exist. You must use one of the following tools, use one at time: {tools}.",
    "tool_usage_exception": "I encountered an error while trying to use the tool. This was the error: {error}.\n Tool {tool} accepts these inputs: {tool_inputs}",
-    "agent_tool_execution_error": "Error executing task with agent '{agent_role}'. Error: {error}"
+    "agent_tool_execution_error": "Error executing task with agent '{agent_role}'. Error: {error}",
+    "validation_error": "### Previous attempt failed validation: {guardrail_result_error}\n\n\n### Previous result:\n{task_output}\n\n\nTry again, making sure to address the validation error."
  },
  "tools": {
    "delegate_work": "Delegate a specific task to one of the following coworkers: {coworkers}\nThe input to this tool should be the coworker, the task you want them to do, and ALL necessary context to execute the task, they know nothing about the task, so share absolute everything you know, don't reference things but instead explain them.",
--- a/src/crewai/utilities/crew_json_encoder.py
+++ b/src/crewai/utilities/crew_json_encoder.py
@@ -1,3 +1,5 @@
+"""JSON encoder for handling CrewAI specific types."""
+
 import json
 from datetime import date, datetime
 from decimal import Decimal
@@ -8,6 +10,7 @@ from pydantic import BaseModel


 class CrewJSONEncoder(json.JSONEncoder):
+    """Custom JSON encoder for CrewAI objects and special types."""
    def default(self, obj):
        if isinstance(obj, BaseModel):
            return self._handle_pydantic_model(obj)
--- a/src/crewai/utilities/crew_pydantic_output_parser.py
+++ b/src/crewai/utilities/crew_pydantic_output_parser.py
@@ -6,9 +6,10 @@ from pydantic import BaseModel, ValidationError

 from crewai.agents.parser import OutputParserException

+"""Parser for converting text outputs into Pydantic models."""

 class CrewPydanticOutputParser:
-    """Parses the text into pydantic models"""
+    """Parses text outputs into specified Pydantic models."""

    pydantic_object: Type[BaseModel]

--- a/src/crewai/utilities/evaluators/crew_evaluator_handler.py
+++ b/src/crewai/utilities/evaluators/crew_evaluator_handler.py
@@ -180,12 +180,12 @@ class CrewEvaluator:
            self._test_result_span = self._telemetry.individual_test_result_span(
                self.crew,
                evaluation_result.pydantic.quality,
-                current_task._execution_time,
+                current_task.execution_duration,
                self.openai_model_name,
            )
            self.tasks_scores[self.iteration].append(evaluation_result.pydantic.quality)
            self.run_execution_times[self.iteration].append(
-                current_task._execution_time
+                current_task.execution_duration
            )
        else:
            raise ValueError("Evaluation result is not in the expected format")
--- a/src/crewai/utilities/i18n.py
+++ b/src/crewai/utilities/i18n.py
@@ -4,8 +4,10 @@ from typing import Dict, Optional, Union

 from pydantic import BaseModel, Field, PrivateAttr, model_validator

+"""Internationalization support for CrewAI prompts and messages."""

 class I18N(BaseModel):
+    """Handles loading and retrieving internationalized prompts."""
    _prompts: Dict[str, Dict[str, str]] = PrivateAttr()
    prompt_file: Optional[str] = Field(
        default=None,
--- a/src/crewai/utilities/internal_instructor.py
+++ b/src/crewai/utilities/internal_instructor.py
@@ -1,3 +1,4 @@
+import warnings
 from typing import Any, Optional, Type


@@ -25,14 +26,15 @@ class InternalInstructor:
        if self.agent and not self.llm:
            self.llm = self.agent.function_calling_llm or self.agent.llm

-        # Lazy import
-        import instructor
-        from litellm import completion
+        with warnings.catch_warnings():
+            warnings.simplefilter("ignore", UserWarning)
+            import instructor
+            from litellm import completion

-        self._client = instructor.from_litellm(
-            completion,
-            mode=instructor.Mode.TOOLS,
-        )
+            self._client = instructor.from_litellm(
+                completion,
+                mode=instructor.Mode.TOOLS,
+            )

    def to_json(self):
        model = self.to_pydantic()
--- a/src/crewai/utilities/paths.py
+++ b/src/crewai/utilities/paths.py
@@ -3,8 +3,10 @@ from pathlib import Path

 import appdirs

+"""Path management utilities for CrewAI storage and configuration."""

 def db_storage_path():
+    """Returns the path for database storage."""
    app_name = get_project_directory_name()
    app_author = "CrewAI"

@@ -14,6 +16,7 @@ def db_storage_path():


 def get_project_directory_name():
+    """Returns the current project directory name."""
    project_directory_name = os.environ.get("CREWAI_STORAGE_DIR")

    if project_directory_name:
--- a/src/crewai/utilities/planning_handler.py
+++ b/src/crewai/utilities/planning_handler.py
@@ -1,4 +1,3 @@
-import json
 import logging
 from typing import Any, List, Optional

@@ -7,10 +6,11 @@ from pydantic import BaseModel, Field
 from crewai.agent import Agent
 from crewai.task import Task

+"""Handles planning and coordination of crew tasks."""
 logger = logging.getLogger(__name__)

-
 class PlanPerTask(BaseModel):
+    """Represents a plan for a specific task."""
    task: str = Field(..., description="The task for which the plan is created")
    plan: str = Field(
        ...,
@@ -19,6 +19,7 @@ class PlanPerTask(BaseModel):


 class PlannerTaskPydanticOutput(BaseModel):
+    """Output format for task planning results."""
    list_of_plans_per_task: List[PlanPerTask] = Field(
        ...,
        description="Step by step plan on how the agents can execute their tasks using the available tools with mastery",
@@ -26,6 +27,7 @@ class PlannerTaskPydanticOutput(BaseModel):


 class CrewPlanner:
+    """Plans and coordinates the execution of crew tasks."""
    def __init__(self, tasks: List[Task], planning_agent_llm: Optional[Any] = None):
        self.tasks = tasks

@@ -75,10 +77,10 @@ class CrewPlanner:
    def _get_agent_knowledge(self, task: Task) -> List[str]:
        """
        Safely retrieve knowledge source content from the task's agent.
-        
+
        Args:
            task: The task containing an agent with potential knowledge sources
-            
+
        Returns:
            List[str]: A list of knowledge source strings
        """
@@ -105,6 +107,6 @@ class CrewPlanner:
                    f"[{', '.join(str(tool) for tool in task.agent.tools)}]" if task.agent and task.agent.tools else '"agent has no tools"',
                    f',\n                "agent_knowledge": "[\\"{knowledge_list[0]}\\"]"' if knowledge_list and str(knowledge_list) != "None" else ""
                )
-            
+
            tasks_summary.append(task_summary)
        return " ".join(tasks_summary)
--- a/src/crewai/utilities/printer.py
+++ b/src/crewai/utilities/printer.py
@@ -1,7 +1,11 @@
+"""Utility for colored console output."""
+
 from typing import Optional


 class Printer:
+    """Handles colored console output formatting."""
+
    def print(self, content: str, color: Optional[str] = None):
        if color == "purple":
            self._print_purple(content)
--- a/src/crewai/utilities/rpm_controller.py
+++ b/src/crewai/utilities/rpm_controller.py
@@ -6,8 +6,10 @@ from pydantic import BaseModel, Field, PrivateAttr, model_validator

 from crewai.utilities.logger import Logger

+"""Controls request rate limiting for API calls."""

 class RPMController(BaseModel):
+    """Manages requests per minute limiting."""
    max_rpm: Optional[int] = Field(default=None)
    logger: Logger = Field(default_factory=lambda: Logger(verbose=False))
    _current_rpm: int = PrivateAttr(default=0)
--- a/src/crewai/utilities/task_output_storage_handler.py
+++ b/src/crewai/utilities/task_output_storage_handler.py
@@ -8,8 +8,10 @@ from crewai.memory.storage.kickoff_task_outputs_storage import (
 )
 from crewai.task import Task

+"""Handles storage and retrieval of task execution outputs."""

 class ExecutionLog(BaseModel):
+    """Represents a log entry for task execution."""
    task_id: str
    expected_output: Optional[str] = None
    output: Dict[str, Any]
@@ -22,6 +24,8 @@ class ExecutionLog(BaseModel):
        return getattr(self, key)


+"""Manages storage and retrieval of task outputs."""
+
 class TaskOutputStorageHandler:
    def __init__(self) -> None:
        self.storage = KickoffTaskOutputsSQLiteStorage()
--- a/src/crewai/utilities/token_counter_callback.py
+++ b/src/crewai/utilities/token_counter_callback.py
@@ -1,3 +1,5 @@
+import warnings
+
 from litellm.integrations.custom_logger import CustomLogger
 from litellm.types.utils import Usage

@@ -12,11 +14,13 @@ class TokenCalcHandler(CustomLogger):
        if self.token_cost_process is None:
            return

-        usage: Usage = response_obj["usage"]
-        self.token_cost_process.sum_successful_requests(1)
-        self.token_cost_process.sum_prompt_tokens(usage.prompt_tokens)
-        self.token_cost_process.sum_completion_tokens(usage.completion_tokens)
-        if usage.prompt_tokens_details:
-            self.token_cost_process.sum_cached_prompt_tokens(
-                usage.prompt_tokens_details.cached_tokens
-            )
+        with warnings.catch_warnings():
+            warnings.simplefilter("ignore", UserWarning)
+            usage: Usage = response_obj["usage"]
+            self.token_cost_process.sum_successful_requests(1)
+            self.token_cost_process.sum_prompt_tokens(usage.prompt_tokens)
+            self.token_cost_process.sum_completion_tokens(usage.completion_tokens)
+            if usage.prompt_tokens_details:
+                self.token_cost_process.sum_cached_prompt_tokens(
+                    usage.prompt_tokens_details.cached_tokens
+                )
--- a/tests/agent_test.py
+++ b/tests/agent_test.py
@@ -1445,44 +1445,43 @@ def test_llm_call_with_all_attributes():


@pytest.mark.vcr(filter_headers=["authorization"])
-def test_agent_with_ollama_gemma():
+def test_agent_with_ollama_llama3():
    agent = Agent(
        role="test role",
        goal="test goal",
        backstory="test backstory",
-        llm=LLM(
-            model="ollama/gemma2:latest",
-            base_url="http://localhost:8080",
-        ),
+        llm=LLM(model="ollama/llama3.2:3b", base_url="http://localhost:11434"),
    )

    assert isinstance(agent.llm, LLM)
-    assert agent.llm.model == "ollama/gemma2:latest"
-    assert agent.llm.base_url == "http://localhost:8080"
+    assert agent.llm.model == "ollama/llama3.2:3b"
+    assert agent.llm.base_url == "http://localhost:11434"

-    task = "Respond in 20 words. Who are you?"
+    task = "Respond in 20 words. Which model are you?"
    response = agent.llm.call([{"role": "user", "content": task}])

    assert response
    assert len(response.split()) <= 25  # Allow a little flexibility in word count
-    assert "Gemma" in response or "AI" in response or "language model" in response
+    assert "Llama3" in response or "AI" in response or "language model" in response


@pytest.mark.vcr(filter_headers=["authorization"])
-def test_llm_call_with_ollama_gemma():
+def test_llm_call_with_ollama_llama3():
    llm = LLM(
-        model="ollama/gemma2:latest",
-        base_url="http://localhost:8080",
+        model="ollama/llama3.2:3b",
+        base_url="http://localhost:11434",
        temperature=0.7,
        max_tokens=30,
    )
-    messages = [{"role": "user", "content": "Respond in 20 words. Who are you?"}]
+    messages = [
+        {"role": "user", "content": "Respond in 20 words. Which model are you?"}
+    ]

    response = llm.call(messages)

    assert response
    assert len(response.split()) <= 25  # Allow a little flexibility in word count
-    assert "Gemma" in response or "AI" in response or "language model" in response
+    assert "Llama3" in response or "AI" in response or "language model" in response


@pytest.mark.vcr(filter_headers=["authorization"])
@@ -1578,7 +1577,7 @@ def test_agent_execute_task_with_ollama():
        role="test role",
        goal="test goal",
        backstory="test backstory",
-        llm=LLM(model="ollama/gemma2:latest", base_url="http://localhost:8080"),
+        llm=LLM(model="ollama/llama3.2:3b", base_url="http://localhost:11434"),
    )

    task = Task(
--- a/tests/agents/agent_builder/base_agent_test.py
+++ b/tests/agents/agent_builder/base_agent_test.py
@@ -7,7 +7,7 @@ from crewai.agents.agent_builder.base_agent import BaseAgent
 from crewai.tools.base_tool import BaseTool


-class TestAgent(BaseAgent):
+class MockAgent(BaseAgent):
    def execute_task(
        self,
        task: Any,
@@ -29,7 +29,7 @@ class TestAgent(BaseAgent):


 def test_key():
-    agent = TestAgent(
+    agent = MockAgent(
        role="test role",
        goal="test goal",
        backstory="test backstory",
--- a/tests/cassettes/test_agent_execute_task_with_ollama.yaml
+++ b/tests/cassettes/test_agent_execute_task_with_ollama.yaml
@@ -1,42 +1,6 @@
 interactions:
 - request:
-    body: !!binary |
-      CrcCCiQKIgoMc2VydmljZS5uYW1lEhIKEGNyZXdBSS10ZWxlbWV0cnkSjgIKEgoQY3Jld2FpLnRl
-      bGVtZXRyeRJoChA/Q8UW5bidCRtKvri5fOaNEgh5qLzvLvZJkioQVG9vbCBVc2FnZSBFcnJvcjAB
-      OYjFVQr1TPgXQXCXhwr1TPgXShoKDmNyZXdhaV92ZXJzaW9uEggKBjAuNjEuMHoCGAGFAQABAAAS
-      jQEKEChQTWQ07t26ELkZmP5RresSCHEivRGBpsP7KgpUb29sIFVzYWdlMAE5sKkbC/VM+BdB8MIc
-      C/VM+BdKGgoOY3Jld2FpX3ZlcnNpb24SCAoGMC42MS4wShkKCXRvb2xfbmFtZRIMCgpkdW1teV90
-      b29sSg4KCGF0dGVtcHRzEgIYAXoCGAGFAQABAAA=
-    headers:
-      Accept:
-      - '*/*'
-      Accept-Encoding:
-      - gzip, deflate
-      Connection:
-      - keep-alive
-      Content-Length:
-      - '314'
-      Content-Type:
-      - application/x-protobuf
-      User-Agent:
-      - OTel-OTLP-Exporter-Python/1.27.0
-    method: POST
-    uri: https://telemetry.crewai.com:4319/v1/traces
-  response:
-    body:
-      string: "\n\0"
-    headers:
-      Content-Length:
-      - '2'
-      Content-Type:
-      - application/x-protobuf
-      Date:
-      - Tue, 24 Sep 2024 21:57:54 GMT
-    status:
-      code: 200
-      message: OK
- request:
-    body: '{"model": "gemma2:latest", "prompt": "### System:\nYou are test role. test
+    body: '{"model": "llama3.2:3b", "prompt": "### System:\nYou are test role. test
      backstory\nYour personal goal is: test goal\nTo give my best complete final
      answer to the task use the exact following format:\n\nThought: I now can give
      a great answer\nFinal Answer: Your final answer must be the great and the most
@@ -46,7 +10,7 @@ interactions:
      explanation of AI\nyou MUST return the actual complete content as the final
      answer, not a summary.\n\nBegin! This is VERY important to you, use the tools
      available and give your best Final Answer, your job depends on it!\n\nThought:\n\n",
-      "options": {}, "stream": false}'
+      "options": {"stop": ["\nObservation:"]}, "stream": false}'
    headers:
      Accept:
      - '*/*'
@@ -55,26 +19,26 @@ interactions:
      Connection:
      - keep-alive
      Content-Length:
-      - '815'
+      - '839'
      Content-Type:
      - application/json
      User-Agent:
-      - python-requests/2.31.0
+      - python-requests/2.32.3
    method: POST
-    uri: http://localhost:8080/api/generate
+    uri: http://localhost:11434/api/generate
  response:
    body:
-      string: '{"model":"gemma2:latest","created_at":"2024-09-24T21:57:55.835715Z","response":"Thought:
-        I can explain AI in one sentence. \n\nFinal Answer: Artificial intelligence
-        (AI) is the ability of computer systems to perform tasks that typically require
-        human intelligence, such as learning, problem-solving, and decision-making.  \n","done":true,"done_reason":"stop","context":[106,1645,108,6176,1479,235292,108,2045,708,2121,4731,235265,2121,135147,108,6922,3749,6789,603,235292,2121,6789,108,1469,2734,970,1963,3407,2048,3448,577,573,6911,1281,573,5463,2412,5920,235292,109,65366,235292,590,1490,798,2734,476,1775,3448,108,11263,10358,235292,3883,2048,3448,2004,614,573,1775,578,573,1546,3407,685,3077,235269,665,2004,614,17526,6547,235265,109,235285,44472,1281,1450,32808,235269,970,3356,12014,611,665,235341,109,6176,4926,235292,109,6846,12297,235292,36576,1212,16481,603,575,974,13060,109,1596,603,573,5246,12830,604,861,2048,3448,235292,586,974,235290,47366,15844,576,16481,108,4747,44472,2203,573,5579,3407,3381,685,573,2048,3448,235269,780,476,13367,235265,109,12694,235341,1417,603,50471,2845,577,692,235269,1281,573,8112,2506,578,2734,861,1963,14124,10358,235269,861,3356,12014,611,665,235341,109,65366,235292,109,107,108,106,2516,108,65366,235292,590,798,10200,16481,575,974,13060,235265,235248,109,11263,10358,235292,42456,17273,591,11716,235275,603,573,7374,576,6875,5188,577,3114,13333,674,15976,2817,3515,17273,235269,1582,685,6044,235269,3210,235290,60495,235269,578,4530,235290,14577,235265,139,108],"total_duration":3370959792,"load_duration":20611750,"prompt_eval_count":173,"prompt_eval_duration":688036000,"eval_count":51,"eval_duration":2660291000}'
+      string: '{"model":"llama3.2:3b","created_at":"2025-01-02T20:05:52.24992Z","response":"Final
+        Answer: Artificial Intelligence (AI) refers to the development of computer
+        systems capable of performing tasks that typically require human intelligence,
+        such as learning, problem-solving, decision-making, and perception.","done":true,"done_reason":"stop","context":[128006,9125,128007,271,38766,1303,33025,2696,25,6790,220,2366,18,271,128009,128006,882,128007,271,14711,744,512,2675,527,1296,3560,13,1296,93371,198,7927,4443,5915,374,25,1296,5915,198,1271,3041,856,1888,4686,1620,4320,311,279,3465,1005,279,4839,2768,3645,1473,85269,25,358,1457,649,3041,264,2294,4320,198,19918,22559,25,4718,1620,4320,2011,387,279,2294,323,279,1455,4686,439,3284,11,433,2011,387,15632,7633,382,40,28832,1005,1521,20447,11,856,2683,14117,389,433,2268,14711,2724,1473,5520,5546,25,83017,1148,15592,374,304,832,11914,271,2028,374,279,1755,13186,369,701,1620,4320,25,362,832,1355,18886,16540,315,15592,198,9514,28832,471,279,5150,4686,2262,439,279,1620,4320,11,539,264,12399,382,11382,0,1115,374,48174,3062,311,499,11,1005,279,7526,2561,323,3041,701,1888,13321,22559,11,701,2683,14117,389,433,2268,85269,1473,128009,128006,78191,128007,271,19918,22559,25,59294,22107,320,15836,8,19813,311,279,4500,315,6500,6067,13171,315,16785,9256,430,11383,1397,3823,11478,11,1778,439,6975,11,3575,99246,11,5597,28846,11,323,21063,13],"total_duration":1461909875,"load_duration":39886208,"prompt_eval_count":181,"prompt_eval_duration":701000000,"eval_count":39,"eval_duration":719000000}'
    headers:
      Content-Length:
-      - '1662'
+      - '1537'
      Content-Type:
      - application/json; charset=utf-8
      Date:
-      - Tue, 24 Sep 2024 21:57:55 GMT
+      - Thu, 02 Jan 2025 20:05:52 GMT
    status:
      code: 200
      message: OK
--- a/tests/cassettes/test_agent_with_ollama_gemma.yaml
+++ b/tests/cassettes/test_agent_with_ollama_gemma.yaml
@@ -1,397 +0,0 @@
-interactions:
- request:
-    body: !!binary |
-      CumTAQokCiIKDHNlcnZpY2UubmFtZRISChBjcmV3QUktdGVsZW1ldHJ5Er+TAQoSChBjcmV3YWku
-      dGVsZW1ldHJ5EqoHChDvqD2QZooz9BkEwtbWjp4OEgjxh72KACHvZSoMQ3JldyBDcmVhdGVkMAE5
-      qMhNnvBM+BdBcO9PnvBM+BdKGgoOY3Jld2FpX3ZlcnNpb24SCAoGMC42MS4wShoKDnB5dGhvbl92
-      ZXJzaW9uEggKBjMuMTEuN0ouCghjcmV3X2tleRIiCiBkNTUxMTNiZTRhYTQxYmE2NDNkMzI2MDQy
-      YjJmMDNmMUoxCgdjcmV3X2lkEiYKJGY4YTA1OTA1LTk0OGEtNDQ0YS04NmJmLTJiNTNiNDkyYjgy
-      MkocCgxjcmV3X3Byb2Nlc3MSDAoKc2VxdWVudGlhbEoRCgtjcmV3X21lbW9yeRICEABKGgoUY3Jl
-      d19udW1iZXJfb2ZfdGFza3MSAhgBShsKFWNyZXdfbnVtYmVyX29mX2FnZW50cxICGAFKxwIKC2Ny
-      ZXdfYWdlbnRzErcCCrQCW3sia2V5IjogImUxNDhlNTMyMDI5MzQ5OWY4Y2ViZWE4MjZlNzI1ODJi
-      IiwgImlkIjogIjg1MGJjNWUwLTk4NTctNDhkOC1iNWZlLTJmZjk2OWExYTU3YiIsICJyb2xlIjog
-      InRlc3Qgcm9sZSIsICJ2ZXJib3NlPyI6IHRydWUsICJtYXhfaXRlciI6IDQsICJtYXhfcnBtIjog
-      MTAsICJmdW5jdGlvbl9jYWxsaW5nX2xsbSI6ICIiLCAibGxtIjogImdwdC00byIsICJkZWxlZ2F0
-      aW9uX2VuYWJsZWQ/IjogZmFsc2UsICJhbGxvd19jb2RlX2V4ZWN1dGlvbj8iOiBmYWxzZSwgIm1h
-      eF9yZXRyeV9saW1pdCI6IDIsICJ0b29sc19uYW1lcyI6IFtdfV1KkAIKCmNyZXdfdGFza3MSgQIK
-      /gFbeyJrZXkiOiAiNGEzMWI4NTEzM2EzYTI5NGM2ODUzZGE3NTdkNGJhZTciLCAiaWQiOiAiOTc1
-      ZDgwMjItMWJkMS00NjBlLTg2NmEtYjJmZGNiYjA4ZDliIiwgImFzeW5jX2V4ZWN1dGlvbj8iOiBm
-      YWxzZSwgImh1bWFuX2lucHV0PyI6IGZhbHNlLCAiYWdlbnRfcm9sZSI6ICJ0ZXN0IHJvbGUiLCAi
-      YWdlbnRfa2V5IjogImUxNDhlNTMyMDI5MzQ5OWY4Y2ViZWE4MjZlNzI1ODJiIiwgInRvb2xzX25h
-      bWVzIjogWyJnZXRfZmluYWxfYW5zd2VyIl19XXoCGAGFAQABAAASjgIKEP9UYSAOFQbZquSppN1j
-      IeUSCAgZmXUoJKFmKgxUYXNrIENyZWF0ZWQwATloPV+e8Ez4F0GYsl+e8Ez4F0ouCghjcmV3X2tl
-      eRIiCiBkNTUxMTNiZTRhYTQxYmE2NDNkMzI2MDQyYjJmMDNmMUoxCgdjcmV3X2lkEiYKJGY4YTA1
-      OTA1LTk0OGEtNDQ0YS04NmJmLTJiNTNiNDkyYjgyMkouCgh0YXNrX2tleRIiCiA0YTMxYjg1MTMz
-      YTNhMjk0YzY4NTNkYTc1N2Q0YmFlN0oxCgd0YXNrX2lkEiYKJDk3NWQ4MDIyLTFiZDEtNDYwZS04
-      NjZhLWIyZmRjYmIwOGQ5YnoCGAGFAQABAAASkwEKEEfiywgqgiUXE3KoUbrnHDQSCGmv+iM7Wc1Z
-      KgpUb29sIFVzYWdlMAE5kOybnvBM+BdBIM+cnvBM+BdKGgoOY3Jld2FpX3ZlcnNpb24SCAoGMC42
-      MS4wSh8KCXRvb2xfbmFtZRISChBnZXRfZmluYWxfYW5zd2VySg4KCGF0dGVtcHRzEgIYAXoCGAGF
-      AQABAAASkwEKEH7AHXpfmvwIkA45HB8YyY0SCAFRC+uJpsEZKgpUb29sIFVzYWdlMAE56PLdnvBM
-      +BdBYFbfnvBM+BdKGgoOY3Jld2FpX3ZlcnNpb24SCAoGMC42MS4wSh8KCXRvb2xfbmFtZRISChBn
-      ZXRfZmluYWxfYW5zd2VySg4KCGF0dGVtcHRzEgIYAXoCGAGFAQABAAASkwEKEIDKKEbYU4lcJF+a
-      WsAVZwESCI+/La7oL86MKgpUb29sIFVzYWdlMAE5yIkgn/BM+BdBWGwhn/BM+BdKGgoOY3Jld2Fp
-      X3ZlcnNpb24SCAoGMC42MS4wSh8KCXRvb2xfbmFtZRISChBnZXRfZmluYWxfYW5zd2VySg4KCGF0
-      dGVtcHRzEgIYAXoCGAGFAQABAAASnAEKEMTZ2IhpLz6J2hJhHBQ8/M4SCEuWz+vjzYifKhNUb29s
-      IFJlcGVhdGVkIFVzYWdlMAE5mAVhn/BM+BdBKOhhn/BM+BdKGgoOY3Jld2FpX3ZlcnNpb24SCAoG
-      MC42MS4wSh8KCXRvb2xfbmFtZRISChBnZXRfZmluYWxfYW5zd2VySg4KCGF0dGVtcHRzEgIYAXoC
-      GAGFAQABAAASkAIKED8C+t95p855kLcXs5Nnt/sSCM4XAhL6u8O8Kg5UYXNrIEV4ZWN1dGlvbjAB
-      OdD8X57wTPgXQUgno5/wTPgXSi4KCGNyZXdfa2V5EiIKIGQ1NTExM2JlNGFhNDFiYTY0M2QzMjYw
-      NDJiMmYwM2YxSjEKB2NyZXdfaWQSJgokZjhhMDU5MDUtOTQ4YS00NDRhLTg2YmYtMmI1M2I0OTJi
-      ODIySi4KCHRhc2tfa2V5EiIKIDRhMzFiODUxMzNhM2EyOTRjNjg1M2RhNzU3ZDRiYWU3SjEKB3Rh
-      c2tfaWQSJgokOTc1ZDgwMjItMWJkMS00NjBlLTg2NmEtYjJmZGNiYjA4ZDliegIYAYUBAAEAABLO
-      CwoQFlnZCfbZ3Dj0L9TAE5LrLBIIoFr7BZErFNgqDENyZXcgQ3JlYXRlZDABOVhDDaDwTPgXQSg/
-      D6DwTPgXShoKDmNyZXdhaV92ZXJzaW9uEggKBjAuNjEuMEoaCg5weXRob25fdmVyc2lvbhIICgYz
-      LjExLjdKLgoIY3Jld19rZXkSIgogOTRjMzBkNmMzYjJhYzhmYjk0YjJkY2ZjNTcyZDBmNTlKMQoH
-      Y3Jld19pZBImCiQyMzM2MzRjNi1lNmQ2LTQ5ZTYtODhhZS1lYWUxYTM5YjBlMGZKHAoMY3Jld19w
-      cm9jZXNzEgwKCnNlcXVlbnRpYWxKEQoLY3Jld19tZW1vcnkSAhAAShoKFGNyZXdfbnVtYmVyX29m
-      X3Rhc2tzEgIYAkobChVjcmV3X251bWJlcl9vZl9hZ2VudHMSAhgCSv4ECgtjcmV3X2FnZW50cxLu
-      BArrBFt7ImtleSI6ICJlMTQ4ZTUzMjAyOTM0OTlmOGNlYmVhODI2ZTcyNTgyYiIsICJpZCI6ICI0
-      MjAzZjIyYi0wNWM3LTRiNjUtODBjMS1kM2Y0YmFlNzZhNDYiLCAicm9sZSI6ICJ0ZXN0IHJvbGUi
-      LCAidmVyYm9zZT8iOiB0cnVlLCAibWF4X2l0ZXIiOiAyLCAibWF4X3JwbSI6IDEwLCAiZnVuY3Rp
-      b25fY2FsbGluZ19sbG0iOiAiIiwgImxsbSI6ICJncHQtNG8iLCAiZGVsZWdhdGlvbl9lbmFibGVk
-      PyI6IGZhbHNlLCAiYWxsb3dfY29kZV9leGVjdXRpb24/IjogZmFsc2UsICJtYXhfcmV0cnlfbGlt
-      aXQiOiAyLCAidG9vbHNfbmFtZXMiOiBbXX0sIHsia2V5IjogImU3ZThlZWE4ODZiY2I4ZjEwNDVh
-      YmVlY2YxNDI1ZGI3IiwgImlkIjogImZjOTZjOTQ1LTY4ZDUtNDIxMy05NmNkLTNmYTAwNmUyZTYz
-      MCIsICJyb2xlIjogInRlc3Qgcm9sZTIiLCAidmVyYm9zZT8iOiB0cnVlLCAibWF4X2l0ZXIiOiAx
-      LCAibWF4X3JwbSI6IG51bGwsICJmdW5jdGlvbl9jYWxsaW5nX2xsbSI6ICIiLCAibGxtIjogImdw
-      dC00byIsICJkZWxlZ2F0aW9uX2VuYWJsZWQ/IjogZmFsc2UsICJhbGxvd19jb2RlX2V4ZWN1dGlv
-      bj8iOiBmYWxzZSwgIm1heF9yZXRyeV9saW1pdCI6IDIsICJ0b29sc19uYW1lcyI6IFtdfV1K/QMK
-      CmNyZXdfdGFza3MS7gMK6wNbeyJrZXkiOiAiMzIyZGRhZTNiYzgwYzFkNDViODVmYTc3NTZkYjg2
-      NjUiLCAiaWQiOiAiOTVjYTg4NDItNmExMi00MGQ5LWIwZDItNGI0MzYxYmJlNTZkIiwgImFzeW5j
-      X2V4ZWN1dGlvbj8iOiBmYWxzZSwgImh1bWFuX2lucHV0PyI6IGZhbHNlLCAiYWdlbnRfcm9sZSI6
-      ICJ0ZXN0IHJvbGUiLCAiYWdlbnRfa2V5IjogImUxNDhlNTMyMDI5MzQ5OWY4Y2ViZWE4MjZlNzI1
-      ODJiIiwgInRvb2xzX25hbWVzIjogW119LCB7ImtleSI6ICI1ZTljYTdkNjRiNDIwNWJiN2M0N2Uw
-      YjNmY2I1ZDIxZiIsICJpZCI6ICI5NzI5MTg2Yy1kN2JlLTRkYjQtYTk0ZS02OWU5OTk2NTI3MDAi
-      LCAiYXN5bmNfZXhlY3V0aW9uPyI6IGZhbHNlLCAiaHVtYW5faW5wdXQ/IjogZmFsc2UsICJhZ2Vu
-      dF9yb2xlIjogInRlc3Qgcm9sZTIiLCAiYWdlbnRfa2V5IjogImU3ZThlZWE4ODZiY2I4ZjEwNDVh
-      YmVlY2YxNDI1ZGI3IiwgInRvb2xzX25hbWVzIjogWyJnZXRfZmluYWxfYW5zd2VyIl19XXoCGAGF
-      AQABAAASjgIKEC/YM2OukRrSg+ZAev4VhGESCOQ5RvzSS5IEKgxUYXNrIENyZWF0ZWQwATmQJx6g
-      8Ez4F0EgjR6g8Ez4F0ouCghjcmV3X2tleRIiCiA5NGMzMGQ2YzNiMmFjOGZiOTRiMmRjZmM1NzJk
-      MGY1OUoxCgdjcmV3X2lkEiYKJDIzMzYzNGM2LWU2ZDYtNDllNi04OGFlLWVhZTFhMzliMGUwZkou
-      Cgh0YXNrX2tleRIiCiAzMjJkZGFlM2JjODBjMWQ0NWI4NWZhNzc1NmRiODY2NUoxCgd0YXNrX2lk
-      EiYKJDk1Y2E4ODQyLTZhMTItNDBkOS1iMGQyLTRiNDM2MWJiZTU2ZHoCGAGFAQABAAASkAIKEHqZ
-      L8s3clXQyVTemNcTCcQSCA0tzK95agRQKg5UYXNrIEV4ZWN1dGlvbjABOQC8HqDwTPgXQdgNSqDw
-      TPgXSi4KCGNyZXdfa2V5EiIKIDk0YzMwZDZjM2IyYWM4ZmI5NGIyZGNmYzU3MmQwZjU5SjEKB2Ny
-      ZXdfaWQSJgokMjMzNjM0YzYtZTZkNi00OWU2LTg4YWUtZWFlMWEzOWIwZTBmSi4KCHRhc2tfa2V5
-      EiIKIDMyMmRkYWUzYmM4MGMxZDQ1Yjg1ZmE3NzU2ZGI4NjY1SjEKB3Rhc2tfaWQSJgokOTVjYTg4
-      NDItNmExMi00MGQ5LWIwZDItNGI0MzYxYmJlNTZkegIYAYUBAAEAABKOAgoQjhKzodMUmQ8NWtdy
-      Uj99whIIBsGtAymZibwqDFRhc2sgQ3JlYXRlZDABOXjVVaDwTPgXQXhSVqDwTPgXSi4KCGNyZXdf
-      a2V5EiIKIDk0YzMwZDZjM2IyYWM4ZmI5NGIyZGNmYzU3MmQwZjU5SjEKB2NyZXdfaWQSJgokMjMz
-      NjM0YzYtZTZkNi00OWU2LTg4YWUtZWFlMWEzOWIwZTBmSi4KCHRhc2tfa2V5EiIKIDVlOWNhN2Q2
-      NGI0MjA1YmI3YzQ3ZTBiM2ZjYjVkMjFmSjEKB3Rhc2tfaWQSJgokOTcyOTE4NmMtZDdiZS00ZGI0
-      LWE5NGUtNjllOTk5NjUyNzAwegIYAYUBAAEAABKTAQoQx5IUsjAFMGNUaz5MHy20OBIIzl2tr25P
-      LL8qClRvb2wgVXNhZ2UwATkgt5Sg8Ez4F0GwFpag8Ez4F0oaCg5jcmV3YWlfdmVyc2lvbhIICgYw
-      LjYxLjBKHwoJdG9vbF9uYW1lEhIKEGdldF9maW5hbF9hbnN3ZXJKDgoIYXR0ZW1wdHMSAhgBegIY
-      AYUBAAEAABKQAgoQEkfcfCrzTYIM6GQXhknlexIIa/oxeT78OL8qDlRhc2sgRXhlY3V0aW9uMAE5
-      WIFWoPBM+BdBuL/GoPBM+BdKLgoIY3Jld19rZXkSIgogOTRjMzBkNmMzYjJhYzhmYjk0YjJkY2Zj
-      NTcyZDBmNTlKMQoHY3Jld19pZBImCiQyMzM2MzRjNi1lNmQ2LTQ5ZTYtODhhZS1lYWUxYTM5YjBl
-      MGZKLgoIdGFza19rZXkSIgogNWU5Y2E3ZDY0YjQyMDViYjdjNDdlMGIzZmNiNWQyMWZKMQoHdGFz
-      a19pZBImCiQ5NzI5MTg2Yy1kN2JlLTRkYjQtYTk0ZS02OWU5OTk2NTI3MDB6AhgBhQEAAQAAEqwH
-      ChDrKBdEe+Z5276g9fgg6VzjEgiJfnDwsv1SrCoMQ3JldyBDcmVhdGVkMAE5MLQYofBM+BdBQFIa
-      ofBM+BdKGgoOY3Jld2FpX3ZlcnNpb24SCAoGMC42MS4wShoKDnB5dGhvbl92ZXJzaW9uEggKBjMu
-      MTEuN0ouCghjcmV3X2tleRIiCiA3M2FhYzI4NWU2NzQ2NjY3Zjc1MTQ3NjcwMDAzNDExMEoxCgdj
-      cmV3X2lkEiYKJDg0NDY0YjhlLTRiZjctNDRiYy05MmUxLWE4ZDE1NGZlNWZkN0ocCgxjcmV3X3By
-      b2Nlc3MSDAoKc2VxdWVudGlhbEoRCgtjcmV3X21lbW9yeRICEABKGgoUY3Jld19udW1iZXJfb2Zf
-      dGFza3MSAhgBShsKFWNyZXdfbnVtYmVyX29mX2FnZW50cxICGAFKyQIKC2NyZXdfYWdlbnRzErkC
-      CrYCW3sia2V5IjogImUxNDhlNTMyMDI5MzQ5OWY4Y2ViZWE4MjZlNzI1ODJiIiwgImlkIjogIjk4
-      YmIwNGYxLTBhZGMtNGZiNC04YzM2LWM3M2Q1MzQ1ZGRhZCIsICJyb2xlIjogInRlc3Qgcm9sZSIs
-      ICJ2ZXJib3NlPyI6IHRydWUsICJtYXhfaXRlciI6IDEsICJtYXhfcnBtIjogbnVsbCwgImZ1bmN0
-      aW9uX2NhbGxpbmdfbGxtIjogIiIsICJsbG0iOiAiZ3B0LTRvIiwgImRlbGVnYXRpb25fZW5hYmxl
-      ZD8iOiBmYWxzZSwgImFsbG93X2NvZGVfZXhlY3V0aW9uPyI6IGZhbHNlLCAibWF4X3JldHJ5X2xp
-      bWl0IjogMiwgInRvb2xzX25hbWVzIjogW119XUqQAgoKY3Jld190YXNrcxKBAgr+AVt7ImtleSI6
-      ICJmN2E5ZjdiYjFhZWU0YjZlZjJjNTI2ZDBhOGMyZjJhYyIsICJpZCI6ICIxZjRhYzJhYS03YmQ4
-      LTQ1NWQtODgyMC1jMzZmMjJjMDY4MzciLCAiYXN5bmNfZXhlY3V0aW9uPyI6IGZhbHNlLCAiaHVt
-      YW5faW5wdXQ/IjogZmFsc2UsICJhZ2VudF9yb2xlIjogInRlc3Qgcm9sZSIsICJhZ2VudF9rZXki
-      OiAiZTE0OGU1MzIwMjkzNDk5ZjhjZWJlYTgyNmU3MjU4MmIiLCAidG9vbHNfbmFtZXMiOiBbImdl
-      dF9maW5hbF9hbnN3ZXIiXX1degIYAYUBAAEAABKOAgoQ0/vrakH7zD0uSvmVBUV8lxIIYe4YKcYG
-      hNgqDFRhc2sgQ3JlYXRlZDABOdBXKqHwTPgXQcCtKqHwTPgXSi4KCGNyZXdfa2V5EiIKIDczYWFj
-      Mjg1ZTY3NDY2NjdmNzUxNDc2NzAwMDM0MTEwSjEKB2NyZXdfaWQSJgokODQ0NjRiOGUtNGJmNy00
-      NGJjLTkyZTEtYThkMTU0ZmU1ZmQ3Si4KCHRhc2tfa2V5EiIKIGY3YTlmN2JiMWFlZTRiNmVmMmM1
-      MjZkMGE4YzJmMmFjSjEKB3Rhc2tfaWQSJgokMWY0YWMyYWEtN2JkOC00NTVkLTg4MjAtYzM2ZjIy
-      YzA2ODM3egIYAYUBAAEAABKkAQoQ5GDzHNlSdlcVDdxsI3abfRIIhYu8fZS3iA4qClRvb2wgVXNh
-      Z2UwATnIi2eh8Ez4F0FYbmih8Ez4F0oaCg5jcmV3YWlfdmVyc2lvbhIICgYwLjYxLjBKHwoJdG9v
-      bF9uYW1lEhIKEGdldF9maW5hbF9hbnN3ZXJKDgoIYXR0ZW1wdHMSAhgBSg8KA2xsbRIICgZncHQt
-      NG96AhgBhQEAAQAAEpACChAy85Jfr/EEIe1THU8koXoYEgjlkNn7xfysjioOVGFzayBFeGVjdXRp
-      b24wATm42Cqh8Ez4F0GgxZah8Ez4F0ouCghjcmV3X2tleRIiCiA3M2FhYzI4NWU2NzQ2NjY3Zjc1
-      MTQ3NjcwMDAzNDExMEoxCgdjcmV3X2lkEiYKJDg0NDY0YjhlLTRiZjctNDRiYy05MmUxLWE4ZDE1
-      NGZlNWZkN0ouCgh0YXNrX2tleRIiCiBmN2E5ZjdiYjFhZWU0YjZlZjJjNTI2ZDBhOGMyZjJhY0ox
-      Cgd0YXNrX2lkEiYKJDFmNGFjMmFhLTdiZDgtNDU1ZC04ODIwLWMzNmYyMmMwNjgzN3oCGAGFAQAB
-      AAASrAcKEG0ZVq5Ww+/A0wOY3HmKgq4SCMe0ooxqjqBlKgxDcmV3IENyZWF0ZWQwATlwmISi8Ez4
-      F0HYUYai8Ez4F0oaCg5jcmV3YWlfdmVyc2lvbhIICgYwLjYxLjBKGgoOcHl0aG9uX3ZlcnNpb24S
-      CAoGMy4xMS43Si4KCGNyZXdfa2V5EiIKIGQ1NTExM2JlNGFhNDFiYTY0M2QzMjYwNDJiMmYwM2Yx
-      SjEKB2NyZXdfaWQSJgokNzkyMWVlYmItMWI4NS00MzNjLWIxMDAtZDU4MmMyOTg5MzBkShwKDGNy
-      ZXdfcHJvY2VzcxIMCgpzZXF1ZW50aWFsShEKC2NyZXdfbWVtb3J5EgIQAEoaChRjcmV3X251bWJl
-      cl9vZl90YXNrcxICGAFKGwoVY3Jld19udW1iZXJfb2ZfYWdlbnRzEgIYAUrJAgoLY3Jld19hZ2Vu
-      dHMSuQIKtgJbeyJrZXkiOiAiZTE0OGU1MzIwMjkzNDk5ZjhjZWJlYTgyNmU3MjU4MmIiLCAiaWQi
-      OiAiZmRiZDI1MWYtYzUwOC00YmFhLTkwNjctN2U5YzQ2ZGZiZTJhIiwgInJvbGUiOiAidGVzdCBy
-      b2xlIiwgInZlcmJvc2U/IjogdHJ1ZSwgIm1heF9pdGVyIjogNiwgIm1heF9ycG0iOiBudWxsLCAi
-      ZnVuY3Rpb25fY2FsbGluZ19sbG0iOiAiIiwgImxsbSI6ICJncHQtNG8iLCAiZGVsZWdhdGlvbl9l
-      bmFibGVkPyI6IGZhbHNlLCAiYWxsb3dfY29kZV9leGVjdXRpb24/IjogZmFsc2UsICJtYXhfcmV0
-      cnlfbGltaXQiOiAyLCAidG9vbHNfbmFtZXMiOiBbXX1dSpACCgpjcmV3X3Rhc2tzEoECCv4BW3si
-      a2V5IjogIjRhMzFiODUxMzNhM2EyOTRjNjg1M2RhNzU3ZDRiYWU3IiwgImlkIjogIjA2YWFmM2Y1
-      LTE5ODctNDAxYS05Yzk0LWY3ZjM1YmQzMDg3OSIsICJhc3luY19leGVjdXRpb24/IjogZmFsc2Us
-      ICJodW1hbl9pbnB1dD8iOiBmYWxzZSwgImFnZW50X3JvbGUiOiAidGVzdCByb2xlIiwgImFnZW50
-      X2tleSI6ICJlMTQ4ZTUzMjAyOTM0OTlmOGNlYmVhODI2ZTcyNTgyYiIsICJ0b29sc19uYW1lcyI6
-      IFsiZ2V0X2ZpbmFsX2Fuc3dlciJdfV16AhgBhQEAAQAAEo4CChDT+zPZHwfacDilkzaZJ9uGEgip
-      Kr5r62JB+ioMVGFzayBDcmVhdGVkMAE56KeTovBM+BdB8PmTovBM+BdKLgoIY3Jld19rZXkSIgog
-      ZDU1MTEzYmU0YWE0MWJhNjQzZDMyNjA0MmIyZjAzZjFKMQoHY3Jld19pZBImCiQ3OTIxZWViYi0x
-      Yjg1LTQzM2MtYjEwMC1kNTgyYzI5ODkzMGRKLgoIdGFza19rZXkSIgogNGEzMWI4NTEzM2EzYTI5
-      NGM2ODUzZGE3NTdkNGJhZTdKMQoHdGFza19pZBImCiQwNmFhZjNmNS0xOTg3LTQwMWEtOWM5NC1m
-      N2YzNWJkMzA4Nzl6AhgBhQEAAQAAEpMBChCl85ZcL2Fa0N5QTl6EsIfnEghyDo3bxT+AkyoKVG9v
-      bCBVc2FnZTABOVBA2aLwTPgXQYAy2qLwTPgXShoKDmNyZXdhaV92ZXJzaW9uEggKBjAuNjEuMEof
-      Cgl0b29sX25hbWUSEgoQZ2V0X2ZpbmFsX2Fuc3dlckoOCghhdHRlbXB0cxICGAF6AhgBhQEAAQAA
-      EpwBChB22uwKhaur9zmeoeEMaRKzEgjrtSEzMbRdIioTVG9vbCBSZXBlYXRlZCBVc2FnZTABOQga
-      C6PwTPgXQaDRC6PwTPgXShoKDmNyZXdhaV92ZXJzaW9uEggKBjAuNjEuMEofCgl0b29sX25hbWUS
-      EgoQZ2V0X2ZpbmFsX2Fuc3dlckoOCghhdHRlbXB0cxICGAF6AhgBhQEAAQAAEpMBChArAfcRpE+W
-      02oszyzccbaWEghTAO9J3zq/kyoKVG9vbCBVc2FnZTABORBRTqPwTPgXQegnT6PwTPgXShoKDmNy
-      ZXdhaV92ZXJzaW9uEggKBjAuNjEuMEofCgl0b29sX25hbWUSEgoQZ2V0X2ZpbmFsX2Fuc3dlckoO
-      CghhdHRlbXB0cxICGAF6AhgBhQEAAQAAEpwBChBdtM3p3aqT7wTGaXi6el/4Egie6lFQpa+AfioT
-      VG9vbCBSZXBlYXRlZCBVc2FnZTABOdBg2KPwTPgXQehW2aPwTPgXShoKDmNyZXdhaV92ZXJzaW9u
-      EggKBjAuNjEuMEofCgl0b29sX25hbWUSEgoQZ2V0X2ZpbmFsX2Fuc3dlckoOCghhdHRlbXB0cxIC
-      GAF6AhgBhQEAAQAAEpMBChDq4OuaUKkNoi6jlMyahPJpEgg1MFDHktBxNSoKVG9vbCBVc2FnZTAB
-      ORD/K6TwTPgXQZgMLaTwTPgXShoKDmNyZXdhaV92ZXJzaW9uEggKBjAuNjEuMEofCgl0b29sX25h
-      bWUSEgoQZ2V0X2ZpbmFsX2Fuc3dlckoOCghhdHRlbXB0cxICGAF6AhgBhQEAAQAAEpACChBhvTmu
-      QWP+bx9JMmGpt+w5Egh1J17yki7s8ioOVGFzayBFeGVjdXRpb24wATnoJJSi8Ez4F0HwNX6k8Ez4
-      F0ouCghjcmV3X2tleRIiCiBkNTUxMTNiZTRhYTQxYmE2NDNkMzI2MDQyYjJmMDNmMUoxCgdjcmV3
-      X2lkEiYKJDc5MjFlZWJiLTFiODUtNDMzYy1iMTAwLWQ1ODJjMjk4OTMwZEouCgh0YXNrX2tleRIi
-      CiA0YTMxYjg1MTMzYTNhMjk0YzY4NTNkYTc1N2Q0YmFlN0oxCgd0YXNrX2lkEiYKJDA2YWFmM2Y1
-      LTE5ODctNDAxYS05Yzk0LWY3ZjM1YmQzMDg3OXoCGAGFAQABAAASrg0KEOJZEqiJ7LTTX/J+tuLR
-      stQSCHKjy4tIcmKEKgxDcmV3IENyZWF0ZWQwATmIEuGk8Ez4F0FYDuOk8Ez4F0oaCg5jcmV3YWlf
-      dmVyc2lvbhIICgYwLjYxLjBKGgoOcHl0aG9uX3ZlcnNpb24SCAoGMy4xMS43Si4KCGNyZXdfa2V5
-      EiIKIDExMWI4NzJkOGYwY2Y3MDNmMmVmZWYwNGNmM2FjNzk4SjEKB2NyZXdfaWQSJgokYWFiYmU5
-      MmQtYjg3NC00NTZmLWE0NzAtM2FmMDc4ZTdjYThlShwKDGNyZXdfcHJvY2VzcxIMCgpzZXF1ZW50
-      aWFsShEKC2NyZXdfbWVtb3J5EgIQAEoaChRjcmV3X251bWJlcl9vZl90YXNrcxICGANKGwoVY3Jl
-      d19udW1iZXJfb2ZfYWdlbnRzEgIYAkqEBQoLY3Jld19hZ2VudHMS9AQK8QRbeyJrZXkiOiAiZTE0
-      OGU1MzIwMjkzNDk5ZjhjZWJlYTgyNmU3MjU4MmIiLCAiaWQiOiAiZmYzOTE0OGEtZWI2NS00Nzkx
-      LWI3MTMtM2Q4ZmE1YWQ5NTJlIiwgInJvbGUiOiAidGVzdCByb2xlIiwgInZlcmJvc2U/IjogZmFs
-      c2UsICJtYXhfaXRlciI6IDE1LCAibWF4X3JwbSI6IG51bGwsICJmdW5jdGlvbl9jYWxsaW5nX2xs
-      bSI6ICIiLCAibGxtIjogImdwdC00byIsICJkZWxlZ2F0aW9uX2VuYWJsZWQ/IjogZmFsc2UsICJh
-      bGxvd19jb2RlX2V4ZWN1dGlvbj8iOiBmYWxzZSwgIm1heF9yZXRyeV9saW1pdCI6IDIsICJ0b29s
-      c19uYW1lcyI6IFtdfSwgeyJrZXkiOiAiZTdlOGVlYTg4NmJjYjhmMTA0NWFiZWVjZjE0MjVkYjci
-      LCAiaWQiOiAiYzYyNDJmNDMtNmQ2Mi00N2U4LTliYmMtNjM0ZDQwYWI4YTQ2IiwgInJvbGUiOiAi
-      dGVzdCByb2xlMiIsICJ2ZXJib3NlPyI6IGZhbHNlLCAibWF4X2l0ZXIiOiAxNSwgIm1heF9ycG0i
-      OiBudWxsLCAiZnVuY3Rpb25fY2FsbGluZ19sbG0iOiAiIiwgImxsbSI6ICJncHQtNG8iLCAiZGVs
-      ZWdhdGlvbl9lbmFibGVkPyI6IGZhbHNlLCAiYWxsb3dfY29kZV9leGVjdXRpb24/IjogZmFsc2Us
-      ICJtYXhfcmV0cnlfbGltaXQiOiAyLCAidG9vbHNfbmFtZXMiOiBbXX1dStcFCgpjcmV3X3Rhc2tz
-      EsgFCsUFW3sia2V5IjogIjMyMmRkYWUzYmM4MGMxZDQ1Yjg1ZmE3NzU2ZGI4NjY1IiwgImlkIjog
-      IjRmZDZhZDdiLTFjNWMtNDE1ZC1hMWQ4LTgwYzExZGNjMTY4NiIsICJhc3luY19leGVjdXRpb24/
-      IjogZmFsc2UsICJodW1hbl9pbnB1dD8iOiBmYWxzZSwgImFnZW50X3JvbGUiOiAidGVzdCByb2xl
-      IiwgImFnZW50X2tleSI6ICJlMTQ4ZTUzMjAyOTM0OTlmOGNlYmVhODI2ZTcyNTgyYiIsICJ0b29s
-      c19uYW1lcyI6IFtdfSwgeyJrZXkiOiAiY2M0ODc2ZjZlNTg4ZTcxMzQ5YmJkM2E2NTg4OGMzZTki
-      LCAiaWQiOiAiOTFlYWFhMWMtMWI4ZC00MDcxLTk2ZmQtM2QxZWVkMjhjMzZjIiwgImFzeW5jX2V4
-      ZWN1dGlvbj8iOiBmYWxzZSwgImh1bWFuX2lucHV0PyI6IGZhbHNlLCAiYWdlbnRfcm9sZSI6ICJ0
-      ZXN0IHJvbGUiLCAiYWdlbnRfa2V5IjogImUxNDhlNTMyMDI5MzQ5OWY4Y2ViZWE4MjZlNzI1ODJi
-      IiwgInRvb2xzX25hbWVzIjogW119LCB7ImtleSI6ICJlMGIxM2UxMGQ3YTE0NmRjYzRjNDg4ZmNm
-      OGQ3NDhhMCIsICJpZCI6ICI4NjExZjhjZS1jNDVlLTQ2OTgtYWEyMS1jMGJkNzdhOGY2ZWYiLCAi
-      YXN5bmNfZXhlY3V0aW9uPyI6IGZhbHNlLCAiaHVtYW5faW5wdXQ/IjogZmFsc2UsICJhZ2VudF9y
-      b2xlIjogInRlc3Qgcm9sZTIiLCAiYWdlbnRfa2V5IjogImU3ZThlZWE4ODZiY2I4ZjEwNDVhYmVl
-      Y2YxNDI1ZGI3IiwgInRvb2xzX25hbWVzIjogW119XXoCGAGFAQABAAASjgIKEMbX6YsWK7RRf4L1
-      NBRKD6cSCFLJiNmspsyjKgxUYXNrIENyZWF0ZWQwATnonPGk8Ez4F0EotvKk8Ez4F0ouCghjcmV3
-      X2tleRIiCiAxMTFiODcyZDhmMGNmNzAzZjJlZmVmMDRjZjNhYzc5OEoxCgdjcmV3X2lkEiYKJGFh
-      YmJlOTJkLWI4NzQtNDU2Zi1hNDcwLTNhZjA3OGU3Y2E4ZUouCgh0YXNrX2tleRIiCiAzMjJkZGFl
-      M2JjODBjMWQ0NWI4NWZhNzc1NmRiODY2NUoxCgd0YXNrX2lkEiYKJDRmZDZhZDdiLTFjNWMtNDE1
-      ZC1hMWQ4LTgwYzExZGNjMTY4NnoCGAGFAQABAAASkAIKEM9JnUNanFbE9AtnSxqA7H8SCBWlG0WJ
-      sMgKKg5UYXNrIEV4ZWN1dGlvbjABOfDo8qTwTPgXQWhEH6XwTPgXSi4KCGNyZXdfa2V5EiIKIDEx
-      MWI4NzJkOGYwY2Y3MDNmMmVmZWYwNGNmM2FjNzk4SjEKB2NyZXdfaWQSJgokYWFiYmU5MmQtYjg3
-      NC00NTZmLWE0NzAtM2FmMDc4ZTdjYThlSi4KCHRhc2tfa2V5EiIKIDMyMmRkYWUzYmM4MGMxZDQ1
-      Yjg1ZmE3NzU2ZGI4NjY1SjEKB3Rhc2tfaWQSJgokNGZkNmFkN2ItMWM1Yy00MTVkLWExZDgtODBj
-      MTFkY2MxNjg2egIYAYUBAAEAABKOAgoQaQALCJNe5ByN4Wu7FE0kABIIYW/UfVfnYscqDFRhc2sg
-      Q3JlYXRlZDABOWhzLKXwTPgXQSD8LKXwTPgXSi4KCGNyZXdfa2V5EiIKIDExMWI4NzJkOGYwY2Y3
-      MDNmMmVmZWYwNGNmM2FjNzk4SjEKB2NyZXdfaWQSJgokYWFiYmU5MmQtYjg3NC00NTZmLWE0NzAt
-      M2FmMDc4ZTdjYThlSi4KCHRhc2tfa2V5EiIKIGNjNDg3NmY2ZTU4OGU3MTM0OWJiZDNhNjU4ODhj
-      M2U5SjEKB3Rhc2tfaWQSJgokOTFlYWFhMWMtMWI4ZC00MDcxLTk2ZmQtM2QxZWVkMjhjMzZjegIY
-      AYUBAAEAABKQAgoQpPfkgFlpIsR/eN2zn+x3MRIILoWF4/HvceAqDlRhc2sgRXhlY3V0aW9uMAE5
-      GCctpfBM+BdBQLNapfBM+BdKLgoIY3Jld19rZXkSIgogMTExYjg3MmQ4ZjBjZjcwM2YyZWZlZjA0
-      Y2YzYWM3OThKMQoHY3Jld19pZBImCiRhYWJiZTkyZC1iODc0LTQ1NmYtYTQ3MC0zYWYwNzhlN2Nh
-      OGVKLgoIdGFza19rZXkSIgogY2M0ODc2ZjZlNTg4ZTcxMzQ5YmJkM2E2NTg4OGMzZTlKMQoHdGFz
-      a19pZBImCiQ5MWVhYWExYy0xYjhkLTQwNzEtOTZmZC0zZDFlZWQyOGMzNmN6AhgBhQEAAQAAEo4C
-      ChCdvXmXZRltDxEwZx2XkhWhEghoKdomHHhLGSoMVGFzayBDcmVhdGVkMAE54HpmpfBM+BdB4Pdm
-      pfBM+BdKLgoIY3Jld19rZXkSIgogMTExYjg3MmQ4ZjBjZjcwM2YyZWZlZjA0Y2YzYWM3OThKMQoH
-      Y3Jld19pZBImCiRhYWJiZTkyZC1iODc0LTQ1NmYtYTQ3MC0zYWYwNzhlN2NhOGVKLgoIdGFza19r
-      ZXkSIgogZTBiMTNlMTBkN2ExNDZkY2M0YzQ4OGZjZjhkNzQ4YTBKMQoHdGFza19pZBImCiQ4NjEx
-      ZjhjZS1jNDVlLTQ2OTgtYWEyMS1jMGJkNzdhOGY2ZWZ6AhgBhQEAAQAAEpACChAIvs/XQL53haTt
-      NV8fk6geEgicgSOcpcYulyoOVGFzayBFeGVjdXRpb24wATnYImel8Ez4F0Gw5ZSl8Ez4F0ouCghj
-      cmV3X2tleRIiCiAxMTFiODcyZDhmMGNmNzAzZjJlZmVmMDRjZjNhYzc5OEoxCgdjcmV3X2lkEiYK
-      JGFhYmJlOTJkLWI4NzQtNDU2Zi1hNDcwLTNhZjA3OGU3Y2E4ZUouCgh0YXNrX2tleRIiCiBlMGIx
-      M2UxMGQ3YTE0NmRjYzRjNDg4ZmNmOGQ3NDhhMEoxCgd0YXNrX2lkEiYKJDg2MTFmOGNlLWM0NWUt
-      NDY5OC1hYTIxLWMwYmQ3N2E4ZjZlZnoCGAGFAQABAAASvAcKEARTPn0s+U/k8GclUc+5rRoSCHF3
-      KCh8OS0FKgxDcmV3IENyZWF0ZWQwATlo+Pul8Ez4F0EQ0f2l8Ez4F0oaCg5jcmV3YWlfdmVyc2lv
-      bhIICgYwLjYxLjBKGgoOcHl0aG9uX3ZlcnNpb24SCAoGMy4xMS43Si4KCGNyZXdfa2V5EiIKIDQ5
-      NGYzNjU3MjM3YWQ4YTMwMzViMmYxYmVlY2RjNjc3SjEKB2NyZXdfaWQSJgokOWMwNzg3NWUtMTMz
-      Mi00MmMzLWFhZTEtZjNjMjc1YTQyNjYwShwKDGNyZXdfcHJvY2VzcxIMCgpzZXF1ZW50aWFsShEK
-      C2NyZXdfbWVtb3J5EgIQAEoaChRjcmV3X251bWJlcl9vZl90YXNrcxICGAFKGwoVY3Jld19udW1i
-      ZXJfb2ZfYWdlbnRzEgIYAUrbAgoLY3Jld19hZ2VudHMSywIKyAJbeyJrZXkiOiAiZTE0OGU1MzIw
-      MjkzNDk5ZjhjZWJlYTgyNmU3MjU4MmIiLCAiaWQiOiAiNGFkYzNmMmItN2IwNC00MDRlLWEwNDQt
-      N2JkNjVmYTMyZmE4IiwgInJvbGUiOiAidGVzdCByb2xlIiwgInZlcmJvc2U/IjogZmFsc2UsICJt
-      YXhfaXRlciI6IDE1LCAibWF4X3JwbSI6IG51bGwsICJmdW5jdGlvbl9jYWxsaW5nX2xsbSI6ICIi
-      LCAibGxtIjogImdwdC00byIsICJkZWxlZ2F0aW9uX2VuYWJsZWQ/IjogZmFsc2UsICJhbGxvd19j
-      b2RlX2V4ZWN1dGlvbj8iOiBmYWxzZSwgIm1heF9yZXRyeV9saW1pdCI6IDIsICJ0b29sc19uYW1l
-      cyI6IFsibGVhcm5fYWJvdXRfYWkiXX1dSo4CCgpjcmV3X3Rhc2tzEv8BCvwBW3sia2V5IjogImYy
-      NTk3Yzc4NjdmYmUzMjRkYzY1ZGMwOGRmZGJmYzZjIiwgImlkIjogIjg2YzZiODE2LTgyOWMtNDUx
-      Zi1iMDZkLTUyZjQ4YTdhZWJiMyIsICJhc3luY19leGVjdXRpb24/IjogZmFsc2UsICJodW1hbl9p
-      bnB1dD8iOiBmYWxzZSwgImFnZW50X3JvbGUiOiAidGVzdCByb2xlIiwgImFnZW50X2tleSI6ICJl
-      MTQ4ZTUzMjAyOTM0OTlmOGNlYmVhODI2ZTcyNTgyYiIsICJ0b29sc19uYW1lcyI6IFsibGVhcm5f
-      YWJvdXRfYWkiXX1degIYAYUBAAEAABKOAgoQZWSU3+i71QSqlD8iiLdyWBII1Pawtza2ZHsqDFRh
-      c2sgQ3JlYXRlZDABOdj2FKbwTPgXQZhUFabwTPgXSi4KCGNyZXdfa2V5EiIKIDQ5NGYzNjU3MjM3
-      YWQ4YTMwMzViMmYxYmVlY2RjNjc3SjEKB2NyZXdfaWQSJgokOWMwNzg3NWUtMTMzMi00MmMzLWFh
-      ZTEtZjNjMjc1YTQyNjYwSi4KCHRhc2tfa2V5EiIKIGYyNTk3Yzc4NjdmYmUzMjRkYzY1ZGMwOGRm
-      ZGJmYzZjSjEKB3Rhc2tfaWQSJgokODZjNmI4MTYtODI5Yy00NTFmLWIwNmQtNTJmNDhhN2FlYmIz
-      egIYAYUBAAEAABKRAQoQl3nNMLhrOg+OgsWWX6A9LxIINbCKrQzQ3JkqClRvb2wgVXNhZ2UwATlA
-      TlCm8Ez4F0FASFGm8Ez4F0oaCg5jcmV3YWlfdmVyc2lvbhIICgYwLjYxLjBKHQoJdG9vbF9uYW1l
-      EhAKDmxlYXJuX2Fib3V0X0FJSg4KCGF0dGVtcHRzEgIYAXoCGAGFAQABAAASkAIKEL9YI/QwoVBJ
-      1HBkTLyQxOESCCcKWhev/Dc8Kg5UYXNrIEV4ZWN1dGlvbjABOXiDFabwTPgXQcjEfqbwTPgXSi4K
-      CGNyZXdfa2V5EiIKIDQ5NGYzNjU3MjM3YWQ4YTMwMzViMmYxYmVlY2RjNjc3SjEKB2NyZXdfaWQS
-      JgokOWMwNzg3NWUtMTMzMi00MmMzLWFhZTEtZjNjMjc1YTQyNjYwSi4KCHRhc2tfa2V5EiIKIGYy
-      NTk3Yzc4NjdmYmUzMjRkYzY1ZGMwOGRmZGJmYzZjSjEKB3Rhc2tfaWQSJgokODZjNmI4MTYtODI5
-      Yy00NTFmLWIwNmQtNTJmNDhhN2FlYmIzegIYAYUBAAEAABLBBwoQ0Le1256mT8wmcvnuLKYeNRII
-      IYBlVsTs+qEqDENyZXcgQ3JlYXRlZDABOYCBiKrwTPgXQRBeiqrwTPgXShoKDmNyZXdhaV92ZXJz
-      aW9uEggKBjAuNjEuMEoaCg5weXRob25fdmVyc2lvbhIICgYzLjExLjdKLgoIY3Jld19rZXkSIgog
-      NDk0ZjM2NTcyMzdhZDhhMzAzNWIyZjFiZWVjZGM2NzdKMQoHY3Jld19pZBImCiQyN2VlMGYyYy1h
-      ZjgwLTQxYWMtYjg3ZC0xNmViYWQyMTVhNTJKHAoMY3Jld19wcm9jZXNzEgwKCnNlcXVlbnRpYWxK
-      EQoLY3Jld19tZW1vcnkSAhAAShoKFGNyZXdfbnVtYmVyX29mX3Rhc2tzEgIYAUobChVjcmV3X251
-      bWJlcl9vZl9hZ2VudHMSAhgBSuACCgtjcmV3X2FnZW50cxLQAgrNAlt7ImtleSI6ICJlMTQ4ZTUz
-      MjAyOTM0OTlmOGNlYmVhODI2ZTcyNTgyYiIsICJpZCI6ICJmMTYyMTFjNS00YWJlLTRhZDAtOWI0
-      YS0yN2RmMTJhODkyN2UiLCAicm9sZSI6ICJ0ZXN0IHJvbGUiLCAidmVyYm9zZT8iOiBmYWxzZSwg
-      Im1heF9pdGVyIjogMiwgIm1heF9ycG0iOiBudWxsLCAiZnVuY3Rpb25fY2FsbGluZ19sbG0iOiAi
-      Z3B0LTRvIiwgImxsbSI6ICJncHQtNG8iLCAiZGVsZWdhdGlvbl9lbmFibGVkPyI6IGZhbHNlLCAi
-      YWxsb3dfY29kZV9leGVjdXRpb24/IjogZmFsc2UsICJtYXhfcmV0cnlfbGltaXQiOiAyLCAidG9v
-      bHNfbmFtZXMiOiBbImxlYXJuX2Fib3V0X2FpIl19XUqOAgoKY3Jld190YXNrcxL/AQr8AVt7Imtl
-      eSI6ICJmMjU5N2M3ODY3ZmJlMzI0ZGM2NWRjMDhkZmRiZmM2YyIsICJpZCI6ICJjN2FiOWRiYi0y
-      MTc4LTRmOGItOGFiNi1kYTU1YzE0YTBkMGMiLCAiYXN5bmNfZXhlY3V0aW9uPyI6IGZhbHNlLCAi
-      aHVtYW5faW5wdXQ/IjogZmFsc2UsICJhZ2VudF9yb2xlIjogInRlc3Qgcm9sZSIsICJhZ2VudF9r
-      ZXkiOiAiZTE0OGU1MzIwMjkzNDk5ZjhjZWJlYTgyNmU3MjU4MmIiLCAidG9vbHNfbmFtZXMiOiBb
-      ImxlYXJuX2Fib3V0X2FpIl19XXoCGAGFAQABAAASjgIKECr4ueCUCo/tMB7EuBQt6TcSCD/UepYl
-      WGqAKgxUYXNrIENyZWF0ZWQwATk4kpyq8Ez4F0Hg85yq8Ez4F0ouCghjcmV3X2tleRIiCiA0OTRm
-      MzY1NzIzN2FkOGEzMDM1YjJmMWJlZWNkYzY3N0oxCgdjcmV3X2lkEiYKJDI3ZWUwZjJjLWFmODAt
-      NDFhYy1iODdkLTE2ZWJhZDIxNWE1MkouCgh0YXNrX2tleRIiCiBmMjU5N2M3ODY3ZmJlMzI0ZGM2
-      NWRjMDhkZmRiZmM2Y0oxCgd0YXNrX2lkEiYKJGM3YWI5ZGJiLTIxNzgtNGY4Yi04YWI2LWRhNTVj
-      MTRhMGQwY3oCGAGFAQABAAASeQoQkj0vmbCBIZPi33W9KrvrYhIIM2g73dOAN9QqEFRvb2wgVXNh
-      Z2UgRXJyb3IwATnQgsyr8Ez4F0GghM2r8Ez4F0oaCg5jcmV3YWlfdmVyc2lvbhIICgYwLjYxLjBK
-      DwoDbGxtEggKBmdwdC00b3oCGAGFAQABAAASeQoQavr4/1SWr8x7HD5mAzlM0hIIXPx740Skkd0q
-      EFRvb2wgVXNhZ2UgRXJyb3IwATkouH9C8Uz4F0FQ1YBC8Uz4F0oaCg5jcmV3YWlfdmVyc2lvbhII
-      CgYwLjYxLjBKDwoDbGxtEggKBmdwdC00b3oCGAGFAQABAAASkAIKEIgmJ3QURJvSsEifMScSiUsS
-      CCyiPHcZT8AnKg5UYXNrIEV4ZWN1dGlvbjABOcAinarwTPgXQeBEynvxTPgXSi4KCGNyZXdfa2V5
-      EiIKIDQ5NGYzNjU3MjM3YWQ4YTMwMzViMmYxYmVlY2RjNjc3SjEKB2NyZXdfaWQSJgokMjdlZTBm
-      MmMtYWY4MC00MWFjLWI4N2QtMTZlYmFkMjE1YTUySi4KCHRhc2tfa2V5EiIKIGYyNTk3Yzc4Njdm
-      YmUzMjRkYzY1ZGMwOGRmZGJmYzZjSjEKB3Rhc2tfaWQSJgokYzdhYjlkYmItMjE3OC00ZjhiLThh
-      YjYtZGE1NWMxNGEwZDBjegIYAYUBAAEAABLEBwoQY+GZuYkP6mwdaVQQc11YuhII7ADKOlFZlzQq
-      DENyZXcgQ3JlYXRlZDABObCoi3zxTPgXQeCUjXzxTPgXShoKDmNyZXdhaV92ZXJzaW9uEggKBjAu
-      NjEuMEoaCg5weXRob25fdmVyc2lvbhIICgYzLjExLjdKLgoIY3Jld19rZXkSIgogN2U2NjA4OTg5
-      ODU5YTY3ZWVjODhlZWY3ZmNlODUyMjVKMQoHY3Jld19pZBImCiQxMmE0OTFlNS00NDgwLTQ0MTYt
-      OTAxYi1iMmI1N2U1ZWU4ZThKHAoMY3Jld19wcm9jZXNzEgwKCnNlcXVlbnRpYWxKEQoLY3Jld19t
-      ZW1vcnkSAhAAShoKFGNyZXdfbnVtYmVyX29mX3Rhc2tzEgIYAUobChVjcmV3X251bWJlcl9vZl9h
-      Z2VudHMSAhgBSt8CCgtjcmV3X2FnZW50cxLPAgrMAlt7ImtleSI6ICIyMmFjZDYxMWU0NGVmNWZh
-      YzA1YjUzM2Q3NWU4ODkzYiIsICJpZCI6ICI5NjljZjhlMy0yZWEwLTQ5ZjgtODNlMS02MzEzYmE4
-      ODc1ZjUiLCAicm9sZSI6ICJEYXRhIFNjaWVudGlzdCIsICJ2ZXJib3NlPyI6IGZhbHNlLCAibWF4
-      X2l0ZXIiOiAxNSwgIm1heF9ycG0iOiBudWxsLCAiZnVuY3Rpb25fY2FsbGluZ19sbG0iOiAiIiwg
-      ImxsbSI6ICJncHQtNG8iLCAiZGVsZWdhdGlvbl9lbmFibGVkPyI6IGZhbHNlLCAiYWxsb3dfY29k
-      ZV9leGVjdXRpb24/IjogZmFsc2UsICJtYXhfcmV0cnlfbGltaXQiOiAyLCAidG9vbHNfbmFtZXMi
-      OiBbImdldCBncmVldGluZ3MiXX1dSpICCgpjcmV3X3Rhc2tzEoMCCoACW3sia2V5IjogImEyNzdi
-      MzRiMmMxNDZmMGM1NmM1ZTEzNTZlOGY4YTU3IiwgImlkIjogImIwMTg0NTI2LTJlOWItNDA0My1h
-      M2JiLTFiM2QzNWIxNTNhOCIsICJhc3luY19leGVjdXRpb24/IjogZmFsc2UsICJodW1hbl9pbnB1
-      dD8iOiBmYWxzZSwgImFnZW50X3JvbGUiOiAiRGF0YSBTY2llbnRpc3QiLCAiYWdlbnRfa2V5Ijog
-      IjIyYWNkNjExZTQ0ZWY1ZmFjMDViNTMzZDc1ZTg4OTNiIiwgInRvb2xzX25hbWVzIjogWyJnZXQg
-      Z3JlZXRpbmdzIl19XXoCGAGFAQABAAASjgIKEI/rrKkPz08VpVWNehfvxJ0SCIpeq76twGj3KgxU
-      YXNrIENyZWF0ZWQwATlA9aR88Uz4F0HoVqV88Uz4F0ouCghjcmV3X2tleRIiCiA3ZTY2MDg5ODk4
-      NTlhNjdlZWM4OGVlZjdmY2U4NTIyNUoxCgdjcmV3X2lkEiYKJDEyYTQ5MWU1LTQ0ODAtNDQxNi05
-      MDFiLWIyYjU3ZTVlZThlOEouCgh0YXNrX2tleRIiCiBhMjc3YjM0YjJjMTQ2ZjBjNTZjNWUxMzU2
-      ZThmOGE1N0oxCgd0YXNrX2lkEiYKJGIwMTg0NTI2LTJlOWItNDA0My1hM2JiLTFiM2QzNWIxNTNh
-      OHoCGAGFAQABAAASkAEKEKKr5LR8SkqfqqktFhniLdkSCPMnqI2ma9UoKgpUb29sIFVzYWdlMAE5
-      sCHgfPFM+BdB+A/hfPFM+BdKGgoOY3Jld2FpX3ZlcnNpb24SCAoGMC42MS4wShwKCXRvb2xfbmFt
-      ZRIPCg1HZXQgR3JlZXRpbmdzSg4KCGF0dGVtcHRzEgIYAXoCGAGFAQABAAASkAIKEOj2bALdBlz6
-      1kP1MvHE5T0SCLw4D7D331IOKg5UYXNrIEV4ZWN1dGlvbjABOeCBpXzxTPgXQSjiEH3xTPgXSi4K
-      CGNyZXdfa2V5EiIKIDdlNjYwODk4OTg1OWE2N2VlYzg4ZWVmN2ZjZTg1MjI1SjEKB2NyZXdfaWQS
-      JgokMTJhNDkxZTUtNDQ4MC00NDE2LTkwMWItYjJiNTdlNWVlOGU4Si4KCHRhc2tfa2V5EiIKIGEy
-      NzdiMzRiMmMxNDZmMGM1NmM1ZTEzNTZlOGY4YTU3SjEKB3Rhc2tfaWQSJgokYjAxODQ1MjYtMmU5
-      Yi00MDQzLWEzYmItMWIzZDM1YjE1M2E4egIYAYUBAAEAABLQBwoQLjz7NWyGPgGU4tVFJ0sh9BII
-      N6EzU5f/sykqDENyZXcgQ3JlYXRlZDABOajOcX3xTPgXQUCAc33xTPgXShoKDmNyZXdhaV92ZXJz
-      aW9uEggKBjAuNjEuMEoaCg5weXRob25fdmVyc2lvbhIICgYzLjExLjdKLgoIY3Jld19rZXkSIgog
-      YzMwNzYwMDkzMjY3NjE0NDRkNTdjNzFkMWRhM2YyN2NKMQoHY3Jld19pZBImCiQ1N2Y0NjVhNC03
-      Zjk1LTQ5Y2MtODNmZC0zZTIwNWRhZDBjZTJKHAoMY3Jld19wcm9jZXNzEgwKCnNlcXVlbnRpYWxK
-      EQoLY3Jld19tZW1vcnkSAhAAShoKFGNyZXdfbnVtYmVyX29mX3Rhc2tzEgIYAUobChVjcmV3X251
-      bWJlcl9vZl9hZ2VudHMSAhgBSuUCCgtjcmV3X2FnZW50cxLVAgrSAlt7ImtleSI6ICI5OGYzYjFk
-      NDdjZTk2OWNmMDU3NzI3Yjc4NDE0MjVjZCIsICJpZCI6ICJjZjcyZDlkNy01MjQwLTRkMzEtYjA2
-      Mi0xMmNjMDU2OGNjM2MiLCAicm9sZSI6ICJGcmllbmRseSBOZWlnaGJvciIsICJ2ZXJib3NlPyI6
-      IGZhbHNlLCAibWF4X2l0ZXIiOiAxNSwgIm1heF9ycG0iOiBudWxsLCAiZnVuY3Rpb25fY2FsbGlu
-      Z19sbG0iOiAiIiwgImxsbSI6ICJncHQtNG8iLCAiZGVsZWdhdGlvbl9lbmFibGVkPyI6IGZhbHNl
-      LCAiYWxsb3dfY29kZV9leGVjdXRpb24/IjogZmFsc2UsICJtYXhfcmV0cnlfbGltaXQiOiAyLCAi
-      dG9vbHNfbmFtZXMiOiBbImRlY2lkZSBncmVldGluZ3MiXX1dSpgCCgpjcmV3X3Rhc2tzEokCCoYC
-      W3sia2V5IjogIjgwZDdiY2Q0OTA5OTI5MDA4MzgzMmYwZTk4MzM4MGRmIiwgImlkIjogIjUxNTJk
-      MmQ2LWYwODYtNGIyMi1hOGMxLTMyODA5NzU1NjZhZCIsICJhc3luY19leGVjdXRpb24/IjogZmFs
-      c2UsICJodW1hbl9pbnB1dD8iOiBmYWxzZSwgImFnZW50X3JvbGUiOiAiRnJpZW5kbHkgTmVpZ2hi
-      b3IiLCAiYWdlbnRfa2V5IjogIjk4ZjNiMWQ0N2NlOTY5Y2YwNTc3MjdiNzg0MTQyNWNkIiwgInRv
-      b2xzX25hbWVzIjogWyJkZWNpZGUgZ3JlZXRpbmdzIl19XXoCGAGFAQABAAASjgIKEM+95r2LzVVg
-      kqAMolHjl9oSCN9WyhdF/ucVKgxUYXNrIENyZWF0ZWQwATnoCoJ98Uz4F0HwXIJ98Uz4F0ouCghj
-      cmV3X2tleRIiCiBjMzA3NjAwOTMyNjc2MTQ0NGQ1N2M3MWQxZGEzZjI3Y0oxCgdjcmV3X2lkEiYK
-      JDU3ZjQ2NWE0LTdmOTUtNDljYy04M2ZkLTNlMjA1ZGFkMGNlMkouCgh0YXNrX2tleRIiCiA4MGQ3
-      YmNkNDkwOTkyOTAwODM4MzJmMGU5ODMzODBkZkoxCgd0YXNrX2lkEiYKJDUxNTJkMmQ2LWYwODYt
-      NGIyMi1hOGMxLTMyODA5NzU1NjZhZHoCGAGFAQABAAASkwEKENJjTKn4eTP/P11ERMIGcdYSCIKF
-      bGEmcS7bKgpUb29sIFVzYWdlMAE5EFu5ffFM+BdBoD26ffFM+BdKGgoOY3Jld2FpX3ZlcnNpb24S
-      CAoGMC42MS4wSh8KCXRvb2xfbmFtZRISChBEZWNpZGUgR3JlZXRpbmdzSg4KCGF0dGVtcHRzEgIY
-      AXoCGAGFAQABAAASkAIKEG29htC06tLF7ihE5Yz6NyMSCAAsKzOcj25nKg5UYXNrIEV4ZWN1dGlv
-      bjABOQCEgn3xTPgXQfgg7X3xTPgXSi4KCGNyZXdfa2V5EiIKIGMzMDc2MDA5MzI2NzYxNDQ0ZDU3
-      YzcxZDFkYTNmMjdjSjEKB2NyZXdfaWQSJgokNTdmNDY1YTQtN2Y5NS00OWNjLTgzZmQtM2UyMDVk
-      YWQwY2UySi4KCHRhc2tfa2V5EiIKIDgwZDdiY2Q0OTA5OTI5MDA4MzgzMmYwZTk4MzM4MGRmSjEK
-      B3Rhc2tfaWQSJgokNTE1MmQyZDYtZjA4Ni00YjIyLWE4YzEtMzI4MDk3NTU2NmFkegIYAYUBAAEA
-      AA==
-    headers:
-      Accept:
-      - '*/*'
-      Accept-Encoding:
-      - gzip, deflate
-      Connection:
-      - keep-alive
-      Content-Length:
-      - '18925'
-      Content-Type:
-      - application/x-protobuf
-      User-Agent:
-      - OTel-OTLP-Exporter-Python/1.27.0
-    method: POST
-    uri: https://telemetry.crewai.com:4319/v1/traces
-  response:
-    body:
-      string: "\n\0"
-    headers:
-      Content-Length:
-      - '2'
-      Content-Type:
-      - application/x-protobuf
-      Date:
-      - Tue, 24 Sep 2024 21:57:39 GMT
-    status:
-      code: 200
-      message: OK
- request:
-    body: '{"model": "gemma2:latest", "prompt": "### User:\nRespond in 20 words. Who
-      are you?\n\n", "options": {}, "stream": false}'
-    headers:
-      Accept:
-      - '*/*'
-      Accept-Encoding:
-      - gzip, deflate
-      Connection:
-      - keep-alive
-      Content-Length:
-      - '120'
-      Content-Type:
-      - application/json
-      User-Agent:
-      - python-requests/2.31.0
-    method: POST
-    uri: http://localhost:8080/api/generate
-  response:
-    body:
-      string: '{"model":"gemma2:latest","created_at":"2024-09-24T21:57:51.284303Z","response":"I
-        am Gemma, an open-weights AI assistant developed by Google DeepMind.  \n","done":true,"done_reason":"stop","context":[106,1645,108,6176,4926,235292,108,54657,575,235248,235284,235276,3907,235265,7702,708,692,235336,109,107,108,106,2516,108,235285,1144,137061,235269,671,2174,235290,30316,16481,20409,6990,731,6238,20555,35777,235265,139,108],"total_duration":14046647083,"load_duration":12942541833,"prompt_eval_count":25,"prompt_eval_duration":177695000,"eval_count":19,"eval_duration":923120000}'
-    headers:
-      Content-Length:
-      - '579'
-      Content-Type:
-      - application/json; charset=utf-8
-      Date:
-      - Tue, 24 Sep 2024 21:57:51 GMT
-    status:
-      code: 200
-      message: OK
-version: 1
--- a/tests/cassettes/test_agent_with_ollama_llama3.yaml
+++ b/tests/cassettes/test_agent_with_ollama_llama3.yaml
@@ -0,0 +1,36 @@
+interactions:
+- request:
+    body: '{"model": "llama3.2:3b", "prompt": "### User:\nRespond in 20 words. Who
+      which model are you?\n\n", "options": {"stop": ["\nObservation:"]}, "stream":
+      false}'
+    headers:
+      Accept:
+      - '*/*'
+      Accept-Encoding:
+      - gzip, deflate
+      Connection:
+      - keep-alive
+      Content-Length:
+      - '156'
+      Content-Type:
+      - application/json
+      User-Agent:
+      - python-requests/2.32.3
+    method: POST
+    uri: http://localhost:11434/api/generate
+  response:
+    body:
+      string: '{"model":"llama3.2:3b","created_at":"2025-01-02T20:07:07.623404Z","response":"I''m
+        an AI designed to assist and communicate with users, utilizing a combination
+        of natural language processing models.","done":true,"done_reason":"stop","context":[128006,9125,128007,271,38766,1303,33025,2696,25,6790,220,2366,18,271,128009,128006,882,128007,271,14711,2724,512,66454,304,220,508,4339,13,10699,902,1646,527,499,1980,128009,128006,78191,128007,271,40,2846,459,15592,6319,311,7945,323,19570,449,3932,11,35988,264,10824,315,5933,4221,8863,4211,13],"total_duration":1076617833,"load_duration":46505416,"prompt_eval_count":40,"prompt_eval_duration":626000000,"eval_count":22,"eval_duration":399000000}'
+    headers:
+      Content-Length:
+      - '690'
+      Content-Type:
+      - application/json; charset=utf-8
+      Date:
+      - Thu, 02 Jan 2025 20:07:07 GMT
+    status:
+      code: 200
+      message: OK
+version: 1
--- a/tests/cassettes/test_crew_with_failing_task_guardrails.yaml
+++ b/tests/cassettes/test_crew_with_failing_task_guardrails.yaml
@@ -0,0 +1,988 @@
+interactions:
+- request:
+    body: !!binary |
+      CpotCiQKIgoMc2VydmljZS5uYW1lEhIKEGNyZXdBSS10ZWxlbWV0cnkS8SwKEgoQY3Jld2FpLnRl
+      bGVtZXRyeRLrCQoQmqG4kmRspGSV9KSDE2WH2hIInKDQhtLNgqEqDENyZXcgQ3JlYXRlZDABOeCb
+      nCGokxcYQYDspiGokxcYShoKDmNyZXdhaV92ZXJzaW9uEggKBjAuOTUuMEoaCg5weXRob25fdmVy
+      c2lvbhIICgYzLjExLjdKLgoIY3Jld19rZXkSIgogY2FhMWFlYjNkZDQzNjM4NjU2OGE1YzNmZTIx
+      MDFhZjVKMQoHY3Jld19pZBImCiQxOWRmM2Y3MS1kYzk0LTQ0ZjYtYmY0Zi0zNjBjZjY2YjJiYWZK
+      HAoMY3Jld19wcm9jZXNzEgwKCnNlcXVlbnRpYWxKEQoLY3Jld19tZW1vcnkSAhAAShoKFGNyZXdf
+      bnVtYmVyX29mX3Rhc2tzEgIYAUobChVjcmV3X251bWJlcl9vZl9hZ2VudHMSAhgCSo4FCgtjcmV3
+      X2FnZW50cxL+BAr7BFt7ImtleSI6ICI5N2Y0MTdmM2UxZTMxY2YwYzEwOWY3NTI5YWM4ZjZiYyIs
+      ICJpZCI6ICJjMzIyZGMzMS0zZDNlLTRlOTctYjgwNi02MDU3ZTZjNGQxZmUiLCAicm9sZSI6ICJQ
+      cm9ncmFtbWVyIiwgInZlcmJvc2U/IjogZmFsc2UsICJtYXhfaXRlciI6IDIwLCAibWF4X3JwbSI6
+      IG51bGwsICJmdW5jdGlvbl9jYWxsaW5nX2xsbSI6ICIiLCAibGxtIjogImdwdC00by1taW5pIiwg
+      ImRlbGVnYXRpb25fZW5hYmxlZD8iOiB0cnVlLCAiYWxsb3dfY29kZV9leGVjdXRpb24/IjogdHJ1
+      ZSwgIm1heF9yZXRyeV9saW1pdCI6IDIsICJ0b29sc19uYW1lcyI6IFtdfSwgeyJrZXkiOiAiOTJh
+      MjRiMGJjY2ZiMGRjMGU0MzlkN2Q1OWJhOWY2ZjMiLCAiaWQiOiAiYzMzMGJlNDAtYWQxMS00YjM2
+      LWEwYTYtY2E4NWY5ZWFjYzZhIiwgInJvbGUiOiAiQ29kZSBSZXZpZXdlciIsICJ2ZXJib3NlPyI6
+      IGZhbHNlLCAibWF4X2l0ZXIiOiAyMCwgIm1heF9ycG0iOiBudWxsLCAiZnVuY3Rpb25fY2FsbGlu
+      Z19sbG0iOiAiIiwgImxsbSI6ICJncHQtNG8tbWluaSIsICJkZWxlZ2F0aW9uX2VuYWJsZWQ/Ijog
+      dHJ1ZSwgImFsbG93X2NvZGVfZXhlY3V0aW9uPyI6IHRydWUsICJtYXhfcmV0cnlfbGltaXQiOiAy
+      LCAidG9vbHNfbmFtZXMiOiBbXX1dSooCCgpjcmV3X3Rhc2tzEvsBCvgBW3sia2V5IjogIjc5YWEy
+      N2RmNzRlNjI3OWUzNGE4ODg4MTc0ODFjNDBmIiwgImlkIjogIjEyYmNjNTAwLWExNzgtNGQyZS05
+      NmQ4LWNkN2UwZmYzNzRhMCIsICJhc3luY19leGVjdXRpb24/IjogZmFsc2UsICJodW1hbl9pbnB1
+      dD8iOiBmYWxzZSwgImFnZW50X3JvbGUiOiAiUHJvZ3JhbW1lciIsICJhZ2VudF9rZXkiOiAiOTdm
+      NDE3ZjNlMWUzMWNmMGMxMDlmNzUyOWFjOGY2YmMiLCAidG9vbHNfbmFtZXMiOiBbInRlc3QgdG9v
+      bCJdfV16AhgBhQEAAQAAErMHChCxSjXt2/kv7CqAN8F+6ZMMEghR4jnKP0dHjSoMQ3JldyBDcmVh
+      dGVkMAE5iBNAIqiTFxhBiGZHIqiTFxhKGgoOY3Jld2FpX3ZlcnNpb24SCAoGMC45NS4wShoKDnB5
+      dGhvbl92ZXJzaW9uEggKBjMuMTEuN0ouCghjcmV3X2tleRIiCiA3NzNhODc2YjU3OTJkYjY5NTU5
+      ZmU4MmMzYWQyMzU5ZkoxCgdjcmV3X2lkEiYKJDk2YjRkMmFlLTQ3ZDUtNDA0MS1hNjJhLTAyMmMy
+      ZDUzZGZkZkocCgxjcmV3X3Byb2Nlc3MSDAoKc2VxdWVudGlhbEoRCgtjcmV3X21lbW9yeRICEABK
+      GgoUY3Jld19udW1iZXJfb2ZfdGFza3MSAhgBShsKFWNyZXdfbnVtYmVyX29mX2FnZW50cxICGAFK
+      2QIKC2NyZXdfYWdlbnRzEskCCsYCW3sia2V5IjogIjA3N2M3YTg2N2UyMGQwYTY4Yjk3NGU0NzYw
+      NzEwOWYzIiwgImlkIjogIjVhOTJiYzM4LWFlNGEtNGViZC1iNTM2LTFkZGVjZDBkODBhYyIsICJy
+      b2xlIjogIk11bHRpbW9kYWwgQW5hbHlzdCIsICJ2ZXJib3NlPyI6IGZhbHNlLCAibWF4X2l0ZXIi
+      OiAyMCwgIm1heF9ycG0iOiBudWxsLCAiZnVuY3Rpb25fY2FsbGluZ19sbG0iOiAiIiwgImxsbSI6
+      ICJncHQtNG8tbWluaSIsICJkZWxlZ2F0aW9uX2VuYWJsZWQ/IjogZmFsc2UsICJhbGxvd19jb2Rl
+      X2V4ZWN1dGlvbj8iOiBmYWxzZSwgIm1heF9yZXRyeV9saW1pdCI6IDIsICJ0b29sc19uYW1lcyI6
+      IFtdfV1KhwIKCmNyZXdfdGFza3MS+AEK9QFbeyJrZXkiOiAiYzc1M2M2ODA2MzU5NDM2YTU4OTZm
+      ZWMwOWJhYTEyNWUiLCAiaWQiOiAiNmRhZTcyNzktMDhjNS00OGNiLWI5OWItYmUyYjAwMzhkYzgz
+      IiwgImFzeW5jX2V4ZWN1dGlvbj8iOiBmYWxzZSwgImh1bWFuX2lucHV0PyI6IGZhbHNlLCAiYWdl
+      bnRfcm9sZSI6ICJNdWx0aW1vZGFsIEFuYWx5c3QiLCAiYWdlbnRfa2V5IjogIjA3N2M3YTg2N2Uy
+      MGQwYTY4Yjk3NGU0NzYwNzEwOWYzIiwgInRvb2xzX25hbWVzIjogW119XXoCGAGFAQABAAASqQcK
+      EIW4ljcZA7v+rs1zMkO4T0wSCIcyNxRlQUYoKgxDcmV3IENyZWF0ZWQwATngxKQiqJMXGEHIIasi
+      qJMXGEoaCg5jcmV3YWlfdmVyc2lvbhIICgYwLjk1LjBKGgoOcHl0aG9uX3ZlcnNpb24SCAoGMy4x
+      MS43Si4KCGNyZXdfa2V5EiIKIGNkNGRhNjRlNmRjM2I5ZWJkY2EyNDQ0YzFkNzMwMjgxSjEKB2Ny
+      ZXdfaWQSJgokMDY0ZDJmMmYtYWEzMy00MmU4LTgyYjAtMjc1YzM4MzY0MjU0ShwKDGNyZXdfcHJv
+      Y2VzcxIMCgpzZXF1ZW50aWFsShEKC2NyZXdfbWVtb3J5EgIQAEoaChRjcmV3X251bWJlcl9vZl90
+      YXNrcxICGAFKGwoVY3Jld19udW1iZXJfb2ZfYWdlbnRzEgIYAUrUAgoLY3Jld19hZ2VudHMSxAIK
+      wQJbeyJrZXkiOiAiZDg1MTA2NGI5YjQ4NDE4YWMyNWY4ZDM3YzdlMzJiYjYiLCAiaWQiOiAiY2M4
+      OWQ4YTAtYjk5Yy00MDNkLTg1ODYtNjgzZDA1MGVjMjlhIiwgInJvbGUiOiAiSW1hZ2UgQW5hbHlz
+      dCIsICJ2ZXJib3NlPyI6IGZhbHNlLCAibWF4X2l0ZXIiOiAyMCwgIm1heF9ycG0iOiBudWxsLCAi
+      ZnVuY3Rpb25fY2FsbGluZ19sbG0iOiAiIiwgImxsbSI6ICJncHQtNG8tbWluaSIsICJkZWxlZ2F0
+      aW9uX2VuYWJsZWQ/IjogZmFsc2UsICJhbGxvd19jb2RlX2V4ZWN1dGlvbj8iOiBmYWxzZSwgIm1h
+      eF9yZXRyeV9saW1pdCI6IDIsICJ0b29sc19uYW1lcyI6IFtdfV1KggIKCmNyZXdfdGFza3MS8wEK
+      8AFbeyJrZXkiOiAiZWU4NzI5Njk0MTBjOTRjMzM0ZjljZmZhMGE0MTVmZWMiLCAiaWQiOiAiNDY3
+      ZmVlNDktZDkzMi00Nzg1LWI1M2QtYTdkNWQxOTk3NzNmIiwgImFzeW5jX2V4ZWN1dGlvbj8iOiBm
+      YWxzZSwgImh1bWFuX2lucHV0PyI6IGZhbHNlLCAiYWdlbnRfcm9sZSI6ICJJbWFnZSBBbmFseXN0
+      IiwgImFnZW50X2tleSI6ICJkODUxMDY0YjliNDg0MThhYzI1ZjhkMzdjN2UzMmJiNiIsICJ0b29s
+      c19uYW1lcyI6IFtdfV16AhgBhQEAAQAAEqMHChD9ptX+M+ebjYJvJRIgLS+sEgi86MlIS3PYaCoM
+      Q3JldyBDcmVhdGVkMAE5MGUTI6iTFxhBqKoZI6iTFxhKGgoOY3Jld2FpX3ZlcnNpb24SCAoGMC45
+      NS4wShoKDnB5dGhvbl92ZXJzaW9uEggKBjMuMTEuN0ouCghjcmV3X2tleRIiCiBlMzk1NjdiNTA1
+      MjkwOWNhMzM0MDk4NGI4Mzg5ODBlYUoxCgdjcmV3X2lkEiYKJGQwM2I0NDRiLTBmMjAtNGY5Ni1i
+      MjA0LWQ3YzQ4MzYyNGM0YkocCgxjcmV3X3Byb2Nlc3MSDAoKc2VxdWVudGlhbEoRCgtjcmV3X21l
+      bW9yeRICEABKGgoUY3Jld19udW1iZXJfb2ZfdGFza3MSAhgBShsKFWNyZXdfbnVtYmVyX29mX2Fn
+      ZW50cxICGAFKzgIKC2NyZXdfYWdlbnRzEr4CCrsCW3sia2V5IjogIjlkYzhjY2UwMzA0NjgxOTYw
+      NDFiNGMzODBiNjE3Y2IwIiwgImlkIjogImM4Mjc0MmM1LWIzZjQtNDJkMC1iYjNmLTRkZWM4Y2Q4
+      MDNmNCIsICJyb2xlIjogIkltYWdlIEFuYWx5c3QiLCAidmVyYm9zZT8iOiB0cnVlLCAibWF4X2l0
+      ZXIiOiAyMCwgIm1heF9ycG0iOiBudWxsLCAiZnVuY3Rpb25fY2FsbGluZ19sbG0iOiAiIiwgImxs
+      bSI6ICJncHQtNG8iLCAiZGVsZWdhdGlvbl9lbmFibGVkPyI6IGZhbHNlLCAiYWxsb3dfY29kZV9l
+      eGVjdXRpb24/IjogZmFsc2UsICJtYXhfcmV0cnlfbGltaXQiOiAyLCAidG9vbHNfbmFtZXMiOiBb
+      XX1dSoICCgpjcmV3X3Rhc2tzEvMBCvABW3sia2V5IjogImE5YTc2Y2E2OTU3ZDBiZmZhNjllYWIy
+      MGI2NjQ4MjJiIiwgImlkIjogImU4ZDFmNWM0LWJhNDEtNGQyNy1iMGZmLWU3MmNiNDA0MWJhMyIs
+      ICJhc3luY19leGVjdXRpb24/IjogZmFsc2UsICJodW1hbl9pbnB1dD8iOiBmYWxzZSwgImFnZW50
+      X3JvbGUiOiAiSW1hZ2UgQW5hbHlzdCIsICJhZ2VudF9rZXkiOiAiOWRjOGNjZTAzMDQ2ODE5NjA0
+      MWI0YzM4MGI2MTdjYjAiLCAidG9vbHNfbmFtZXMiOiBbXX1degIYAYUBAAEAABKOAgoQEQqgiftV
+      3giK4F9VtKBNSBIIVzb/bxKe7icqDFRhc2sgQ3JlYXRlZDABOejyJyOokxcYQdhIKCOokxcYSi4K
+      CGNyZXdfa2V5EiIKIGUzOTU2N2I1MDUyOTA5Y2EzMzQwOTg0YjgzODk4MGVhSjEKB2NyZXdfaWQS
+      JgokZDAzYjQ0NGItMGYyMC00Zjk2LWIyMDQtZDdjNDgzNjI0YzRiSi4KCHRhc2tfa2V5EiIKIGE5
+      YTc2Y2E2OTU3ZDBiZmZhNjllYWIyMGI2NjQ4MjJiSjEKB3Rhc2tfaWQSJgokZThkMWY1YzQtYmE0
+      MS00ZDI3LWIwZmYtZTcyY2I0MDQxYmEzegIYAYUBAAEAABKXAQoQg/ksOtq7LbOO50GnDSOHQBII
+      YX08fxOToKwqClRvb2wgVXNhZ2UwATlI/lskqJMXGEEAY2IkqJMXGEoaCg5jcmV3YWlfdmVyc2lv
+      bhIICgYwLjk1LjBKIwoJdG9vbF9uYW1lEhYKFEFkZCBpbWFnZSB0byBjb250ZW50Sg4KCGF0dGVt
+      cHRzEgIYAXoCGAGFAQABAAASqAcKEEmW3y/PMPhkfMJ/43EA4SASCHMJp4PEDhFLKgxDcmV3IENy
+      ZWF0ZWQwATkAuLYlqJMXGEHAaL4lqJMXGEoaCg5jcmV3YWlfdmVyc2lvbhIICgYwLjk1LjBKGgoO
+      cHl0aG9uX3ZlcnNpb24SCAoGMy4xMS43Si4KCGNyZXdfa2V5EiIKIDAwYjk0NmJlNDQzNzE0YjNh
+      NDdjMjAxMDFlYjAyZDY2SjEKB2NyZXdfaWQSJgokNzJkZTEwZTQtNDkwZC00NDYwLTk1NzMtMmU5
+      ZmM5YTMwMWE1ShwKDGNyZXdfcHJvY2VzcxIMCgpzZXF1ZW50aWFsShEKC2NyZXdfbWVtb3J5EgIQ
+      AEoaChRjcmV3X251bWJlcl9vZl90YXNrcxICGAFKGwoVY3Jld19udW1iZXJfb2ZfYWdlbnRzEgIY
+      AUrTAgoLY3Jld19hZ2VudHMSwwIKwAJbeyJrZXkiOiAiNGI4YTdiODQwZjk0YmY3ODE4YjVkNTNm
+      Njg5MjdmZDUiLCAiaWQiOiAiN2IyMGMyODMtNGFiNy00MjFlLTgzM2QtOWE5N2UzNjFjM2Q2Iiwg
+      InJvbGUiOiAiUmVwb3J0IFdyaXRlciIsICJ2ZXJib3NlPyI6IHRydWUsICJtYXhfaXRlciI6IDIw
+      LCAibWF4X3JwbSI6IG51bGwsICJmdW5jdGlvbl9jYWxsaW5nX2xsbSI6ICIiLCAibGxtIjogImdw
+      dC00by1taW5pIiwgImRlbGVnYXRpb25fZW5hYmxlZD8iOiBmYWxzZSwgImFsbG93X2NvZGVfZXhl
+      Y3V0aW9uPyI6IGZhbHNlLCAibWF4X3JldHJ5X2xpbWl0IjogMiwgInRvb2xzX25hbWVzIjogW119
+      XUqCAgoKY3Jld190YXNrcxLzAQrwAVt7ImtleSI6ICJiNzEzYzgyZmViOTJjOWY1YzU4YjQwYTk3
+      NTU2YjdhYyIsICJpZCI6ICJhZjFhOTYxOC05MjRhLTRlNzktYjZlYi01OGRhMTM2OTU5YzUiLCAi
+      YXN5bmNfZXhlY3V0aW9uPyI6IGZhbHNlLCAiaHVtYW5faW5wdXQ/IjogZmFsc2UsICJhZ2VudF9y
+      b2xlIjogIlJlcG9ydCBXcml0ZXIiLCAiYWdlbnRfa2V5IjogIjRiOGE3Yjg0MGY5NGJmNzgxOGI1
+      ZDUzZjY4OTI3ZmQ1IiwgInRvb2xzX25hbWVzIjogW119XXoCGAGFAQABAAASjgIKEIWRa5ZrcXnJ
+      3rJdzzJ56j8SCKr45vrXkeyTKgxUYXNrIENyZWF0ZWQwATn488glqJMXGEHoScklqJMXGEouCghj
+      cmV3X2tleRIiCiAwMGI5NDZiZTQ0MzcxNGIzYTQ3YzIwMTAxZWIwMmQ2NkoxCgdjcmV3X2lkEiYK
+      JDcyZGUxMGU0LTQ5MGQtNDQ2MC05NTczLTJlOWZjOWEzMDFhNUouCgh0YXNrX2tleRIiCiBiNzEz
+      YzgyZmViOTJjOWY1YzU4YjQwYTk3NTU2YjdhY0oxCgd0YXNrX2lkEiYKJGFmMWE5NjE4LTkyNGEt
+      NGU3OS1iNmViLTU4ZGExMzY5NTljNXoCGAGFAQABAAA=
+    headers:
+      Accept:
+      - '*/*'
+      Accept-Encoding:
+      - gzip, deflate
+      Connection:
+      - keep-alive
+      Content-Length:
+      - '5789'
+      Content-Type:
+      - application/x-protobuf
+      User-Agent:
+      - OTel-OTLP-Exporter-Python/1.27.0
+    method: POST
+    uri: https://telemetry.crewai.com:4319/v1/traces
+  response:
+    body:
+      string: "\n\0"
+    headers:
+      Content-Length:
+      - '2'
+      Content-Type:
+      - application/x-protobuf
+      Date:
+      - Sat, 04 Jan 2025 19:22:17 GMT
+    status:
+      code: 200
+      message: OK
+- request:
+    body: '{"messages": [{"role": "system", "content": "You are Report Writer. You''re
+      an expert at writing structured reports.\nYour personal goal is: Create properly
+      formatted reports\nTo give my best complete final answer to the task use the
+      exact following format:\n\nThought: I now can give a great answer\nFinal Answer:
+      Your final answer must be the great and the most complete as possible, it must
+      be outcome described.\n\nI MUST use these formats, my job depends on it!"},
+      {"role": "user", "content": "\nCurrent Task: Write a report about AI with exactly
+      3 key points.\n\nThis is the expect criteria for your final answer: A properly
+      formatted report\nyou MUST return the actual complete content as the final answer,
+      not a summary.\n\nBegin! This is VERY important to you, use the tools available
+      and give your best Final Answer, your job depends on it!\n\nThought:"}], "model":
+      "gpt-4o-mini", "stop": ["\nObservation:"], "stream": false}'
+    headers:
+      accept:
+      - application/json
+      accept-encoding:
+      - gzip, deflate
+      connection:
+      - keep-alive
+      content-length:
+      - '934'
+      content-type:
+      - application/json
+      cookie:
+      - _cfuvid=v_wJZ5m7qCjrnRfks0gT2GAk9yR14BdIDAQiQR7xxI8-1735266215000-0.0.1.1-604800000
+      host:
+      - api.openai.com
+      user-agent:
+      - OpenAI/Python 1.52.1
+      x-stainless-arch:
+      - arm64
+      x-stainless-async:
+      - 'false'
+      x-stainless-lang:
+      - python
+      x-stainless-os:
+      - MacOS
+      x-stainless-package-version:
+      - 1.52.1
+      x-stainless-raw-response:
+      - 'true'
+      x-stainless-retry-count:
+      - '0'
+      x-stainless-runtime:
+      - CPython
+      x-stainless-runtime-version:
+      - 3.11.7
+    method: POST
+    uri: https://api.openai.com/v1/chat/completions
+  response:
+    content: "{\n  \"id\": \"chatcmpl-Am40qBAFJtuaFsOlTsBHFCoYUvLhN\",\n  \"object\":
+      \"chat.completion\",\n  \"created\": 1736018532,\n  \"model\": \"gpt-4o-mini-2024-07-18\",\n
+      \ \"choices\": [\n    {\n      \"index\": 0,\n      \"message\": {\n        \"role\":
+      \"assistant\",\n        \"content\": \"I now can give a great answer.  \\nFinal
+      Answer: \\n\\n# Report on Artificial Intelligence (AI)\\n\\n## Introduction\\nArtificial
+      Intelligence (AI) is a rapidly evolving technology that simulates human intelligence
+      processes by machines, particularly computer systems. AI has a profound impact
+      on various sectors, enhancing efficiency, improving decision-making, and leading
+      to groundbreaking innovations. This report highlights three key points regarding
+      the significance and implications of AI technology.\\n\\n## Key Point 1: Transformative
+      Potential in Various Industries\\nAI's transformative potential is evident across
+      multiple industries, including healthcare, finance, transportation, and agriculture.
+      In healthcare, AI algorithms can analyze complex medical data, leading to improved
+      diagnostics, personalized medicine, and predictive analytics, thereby enhancing
+      patient outcomes. The financial sector employs AI for risk management, fraud
+      detection, and automated trading, which increases operational efficiency and
+      minimizes human error. In transportation, AI is integral to the development
+      of autonomous vehicles and smart traffic systems, optimizing routes and reducing
+      congestion. Furthermore, agriculture benefits from AI applications through precision
+      farming, which maximizes yield while minimizing environmental impact.\\n\\n##
+      Key Point 2: Ethical Considerations and Challenges\\nAs AI technologies become
+      more pervasive, ethical considerations arise regarding their implementation
+      and use. Concerns include data privacy, algorithmic bias, and the displacement
+      of jobs due to automation. Ensuring that AI systems are transparent, fair, and
+      accountable is crucial in addressing these issues. Organizations must develop
+      comprehensive guidelines and regulatory frameworks to mitigate bias in AI algorithms
+      and protect user data. Moreover, addressing the social implications of AI, such
+      as potential job displacement, is essential, necessitating investment in workforce
+      retraining and education to prepare for an AI-driven economy.\\n\\n## Key Point
+      3: Future Directions and Developments\\nLooking ahead, the future of AI promises
+      continued advancements and integration into everyday life. Emerging trends include
+      the development of explainable AI (XAI), enhancing interpretability and understanding
+      of AI decision-making processes. Advances in natural language processing (NLP)
+      will facilitate better human-computer interactions, allowing for more intuitive
+      applications. Additionally, as AI technology becomes increasingly sophisticated,
+      its role in addressing global challenges, such as climate change and healthcare
+      disparities, is expected to expand. Stakeholders must collaborate to ensure
+      that these developments align with ethical standards and societal needs, fostering
+      a responsible AI future.\\n\\n## Conclusion\\nArtificial Intelligence stands
+      at the forefront of technological innovation, with the potential to revolutionize
+      industries and address complex global challenges. However, it is imperative
+      to navigate the ethical considerations and challenges it poses. By fostering
+      responsible AI development, we can harness its transformative power while ensuring
+      equitability and transparency for future generations.\",\n        \"refusal\":
+      null\n      },\n      \"logprobs\": null,\n      \"finish_reason\": \"stop\"\n
+      \   }\n  ],\n  \"usage\": {\n    \"prompt_tokens\": 170,\n    \"completion_tokens\":
+      524,\n    \"total_tokens\": 694,\n    \"prompt_tokens_details\": {\n      \"cached_tokens\":
+      0,\n      \"audio_tokens\": 0\n    },\n    \"completion_tokens_details\": {\n
+      \     \"reasoning_tokens\": 0,\n      \"audio_tokens\": 0,\n      \"accepted_prediction_tokens\":
+      0,\n      \"rejected_prediction_tokens\": 0\n    }\n  },\n  \"system_fingerprint\":
+      \"fp_0aa8d3e20b\"\n}\n"
+    headers:
+      CF-Cache-Status:
+      - DYNAMIC
+      CF-RAY:
+      - 8fcd9890790e0133-GRU
+      Connection:
+      - keep-alive
+      Content-Encoding:
+      - gzip
+      Content-Type:
+      - application/json
+      Date:
+      - Sat, 04 Jan 2025 19:22:19 GMT
+      Server:
+      - cloudflare
+      Set-Cookie:
+      - __cf_bm=pumYGlf1gsbVoFNTM1vh9Okj41SgxP3y65T5YWWPU1U-1736018539-1.0.1.1-wmaotkWMviN4lKh6M3P04A8p61Ehm.rTehDpsJhxYhNBNU5.kznMCa3cNXePaEbsKkk4PU2QcWjHj2C7yDrjkw;
+        path=/; expires=Sat, 04-Jan-25 19:52:19 GMT; domain=.api.openai.com; HttpOnly;
+        Secure; SameSite=None
+      - _cfuvid=SlnUP7AT9jJlQiN.Fm1c7MDyo78_hBRAz8PoabvHVSU-1736018539826-0.0.1.1-604800000;
+        path=/; domain=.api.openai.com; HttpOnly; Secure; SameSite=None
+      Transfer-Encoding:
+      - chunked
+      X-Content-Type-Options:
+      - nosniff
+      access-control-expose-headers:
+      - X-Request-ID
+      alt-svc:
+      - h3=":443"; ma=86400
+      openai-organization:
+      - crewai-iuxna1
+      openai-processing-ms:
+      - '7717'
+      openai-version:
+      - '2020-10-01'
+      strict-transport-security:
+      - max-age=31536000; includeSubDomains; preload
+      x-ratelimit-limit-requests:
+      - '30000'
+      x-ratelimit-limit-tokens:
+      - '150000000'
+      x-ratelimit-remaining-requests:
+      - '29999'
+      x-ratelimit-remaining-tokens:
+      - '149999790'
+      x-ratelimit-reset-requests:
+      - 2ms
+      x-ratelimit-reset-tokens:
+      - 0s
+      x-request-id:
+      - req_08d237d56b0168a0f4512417380485db
+    http_version: HTTP/1.1
+    status_code: 200
+- request:
+    body: !!binary |
+      Cs4CCiQKIgoMc2VydmljZS5uYW1lEhIKEGNyZXdBSS10ZWxlbWV0cnkSpQIKEgoQY3Jld2FpLnRl
+      bGVtZXRyeRKOAgoQw9qUJPsh6jiJZX4qW3ry4hIIT7E0SNH7Ub4qDFRhc2sgQ3JlYXRlZDABOQBO
+      BAmqkxcYQQgdBQmqkxcYSi4KCGNyZXdfa2V5EiIKIDAwYjk0NmJlNDQzNzE0YjNhNDdjMjAxMDFl
+      YjAyZDY2SjEKB2NyZXdfaWQSJgokNzJkZTEwZTQtNDkwZC00NDYwLTk1NzMtMmU5ZmM5YTMwMWE1
+      Si4KCHRhc2tfa2V5EiIKIGI3MTNjODJmZWI5MmM5ZjVjNThiNDBhOTc1NTZiN2FjSjEKB3Rhc2tf
+      aWQSJgokYWYxYTk2MTgtOTI0YS00ZTc5LWI2ZWItNThkYTEzNjk1OWM1egIYAYUBAAEAAA==
+    headers:
+      Accept:
+      - '*/*'
+      Accept-Encoding:
+      - gzip, deflate
+      Connection:
+      - keep-alive
+      Content-Length:
+      - '337'
+      Content-Type:
+      - application/x-protobuf
+      User-Agent:
+      - OTel-OTLP-Exporter-Python/1.27.0
+    method: POST
+    uri: https://telemetry.crewai.com:4319/v1/traces
+  response:
+    body:
+      string: "\n\0"
+    headers:
+      Content-Length:
+      - '2'
+      Content-Type:
+      - application/x-protobuf
+      Date:
+      - Sat, 04 Jan 2025 19:22:22 GMT
+    status:
+      code: 200
+      message: OK
+- request:
+    body: '{"messages": [{"role": "system", "content": "You are Report Writer. You''re
+      an expert at writing structured reports.\nYour personal goal is: Create properly
+      formatted reports\nTo give my best complete final answer to the task use the
+      exact following format:\n\nThought: I now can give a great answer\nFinal Answer:
+      Your final answer must be the great and the most complete as possible, it must
+      be outcome described.\n\nI MUST use these formats, my job depends on it!"},
+      {"role": "user", "content": "\nCurrent Task: Write a report about AI with exactly
+      3 key points.\n\nThis is the expect criteria for your final answer: A properly
+      formatted report\nyou MUST return the actual complete content as the final answer,
+      not a summary.\n\nThis is the context you''re working with:\n### Previous attempt
+      failed validation: Output must start with ''REPORT:'' no formatting, just the
+      word REPORT\n\n\n### Previous result:\n# Report on Artificial Intelligence (AI)\n\n##
+      Introduction\nArtificial Intelligence (AI) is a rapidly evolving technology
+      that simulates human intelligence processes by machines, particularly computer
+      systems. AI has a profound impact on various sectors, enhancing efficiency,
+      improving decision-making, and leading to groundbreaking innovations. This report
+      highlights three key points regarding the significance and implications of AI
+      technology.\n\n## Key Point 1: Transformative Potential in Various Industries\nAI''s
+      transformative potential is evident across multiple industries, including healthcare,
+      finance, transportation, and agriculture. In healthcare, AI algorithms can analyze
+      complex medical data, leading to improved diagnostics, personalized medicine,
+      and predictive analytics, thereby enhancing patient outcomes. The financial
+      sector employs AI for risk management, fraud detection, and automated trading,
+      which increases operational efficiency and minimizes human error. In transportation,
+      AI is integral to the development of autonomous vehicles and smart traffic systems,
+      optimizing routes and reducing congestion. Furthermore, agriculture benefits
+      from AI applications through precision farming, which maximizes yield while
+      minimizing environmental impact.\n\n## Key Point 2: Ethical Considerations and
+      Challenges\nAs AI technologies become more pervasive, ethical considerations
+      arise regarding their implementation and use. Concerns include data privacy,
+      algorithmic bias, and the displacement of jobs due to automation. Ensuring that
+      AI systems are transparent, fair, and accountable is crucial in addressing these
+      issues. Organizations must develop comprehensive guidelines and regulatory frameworks
+      to mitigate bias in AI algorithms and protect user data. Moreover, addressing
+      the social implications of AI, such as potential job displacement, is essential,
+      necessitating investment in workforce retraining and education to prepare for
+      an AI-driven economy.\n\n## Key Point 3: Future Directions and Developments\nLooking
+      ahead, the future of AI promises continued advancements and integration into
+      everyday life. Emerging trends include the development of explainable AI (XAI),
+      enhancing interpretability and understanding of AI decision-making processes.
+      Advances in natural language processing (NLP) will facilitate better human-computer
+      interactions, allowing for more intuitive applications. Additionally, as AI
+      technology becomes increasingly sophisticated, its role in addressing global
+      challenges, such as climate change and healthcare disparities, is expected to
+      expand. Stakeholders must collaborate to ensure that these developments align
+      with ethical standards and societal needs, fostering a responsible AI future.\n\n##
+      Conclusion\nArtificial Intelligence stands at the forefront of technological
+      innovation, with the potential to revolutionize industries and address complex
+      global challenges. However, it is imperative to navigate the ethical considerations
+      and challenges it poses. By fostering responsible AI development, we can harness
+      its transformative power while ensuring equitability and transparency for future
+      generations.\n\n\nTry again, making sure to address the validation error.\n\nBegin!
+      This is VERY important to you, use the tools available and give your best Final
+      Answer, your job depends on it!\n\nThought:"}], "model": "gpt-4o-mini", "stop":
+      ["\nObservation:"], "stream": false}'
+    headers:
+      accept:
+      - application/json
+      accept-encoding:
+      - gzip, deflate
+      connection:
+      - keep-alive
+      content-length:
+      - '4351'
+      content-type:
+      - application/json
+      cookie:
+      - _cfuvid=SlnUP7AT9jJlQiN.Fm1c7MDyo78_hBRAz8PoabvHVSU-1736018539826-0.0.1.1-604800000;
+        __cf_bm=pumYGlf1gsbVoFNTM1vh9Okj41SgxP3y65T5YWWPU1U-1736018539-1.0.1.1-wmaotkWMviN4lKh6M3P04A8p61Ehm.rTehDpsJhxYhNBNU5.kznMCa3cNXePaEbsKkk4PU2QcWjHj2C7yDrjkw
+      host:
+      - api.openai.com
+      user-agent:
+      - OpenAI/Python 1.52.1
+      x-stainless-arch:
+      - arm64
+      x-stainless-async:
+      - 'false'
+      x-stainless-lang:
+      - python
+      x-stainless-os:
+      - MacOS
+      x-stainless-package-version:
+      - 1.52.1
+      x-stainless-raw-response:
+      - 'true'
+      x-stainless-retry-count:
+      - '0'
+      x-stainless-runtime:
+      - CPython
+      x-stainless-runtime-version:
+      - 3.11.7
+    method: POST
+    uri: https://api.openai.com/v1/chat/completions
+  response:
+    content: "{\n  \"id\": \"chatcmpl-Am40yJsMPHsTOmn9Obwyx2caqoJ1R\",\n  \"object\":
+      \"chat.completion\",\n  \"created\": 1736018540,\n  \"model\": \"gpt-4o-mini-2024-07-18\",\n
+      \ \"choices\": [\n    {\n      \"index\": 0,\n      \"message\": {\n        \"role\":
+      \"assistant\",\n        \"content\": \"I now can give a great answer  \\nFinal
+      Answer:  \\nREPORT:  \\n\\n# Report on Artificial Intelligence (AI)\\n\\n##
+      Introduction\\nArtificial Intelligence (AI) is a rapidly evolving technology
+      that simulates human intelligence processes by machines, particularly computer
+      systems. AI has a profound impact on various sectors, enhancing efficiency,
+      improving decision-making, and leading to groundbreaking innovations. This report
+      highlights three key points regarding the significance and implications of AI
+      technology.\\n\\n## Key Point 1: Transformative Potential in Various Industries\\nAI's
+      transformative potential is evident across multiple industries, including healthcare,
+      finance, transportation, and agriculture. In healthcare, AI algorithms can analyze
+      complex medical data, leading to improved diagnostics, personalized medicine,
+      and predictive analytics, thereby enhancing patient outcomes. The financial
+      sector employs AI for risk management, fraud detection, and automated trading,
+      which increases operational efficiency and minimizes human error. In transportation,
+      AI is integral to the development of autonomous vehicles and smart traffic systems,
+      optimizing routes and reducing congestion. Furthermore, agriculture benefits
+      from AI applications through precision farming, which maximizes yield while
+      minimizing environmental impact.\\n\\n## Key Point 2: Ethical Considerations
+      and Challenges\\nAs AI technologies become more pervasive, ethical considerations
+      arise regarding their implementation and use. Concerns include data privacy,
+      algorithmic bias, and the displacement of jobs due to automation. Ensuring that
+      AI systems are transparent, fair, and accountable is crucial in addressing these
+      issues. Organizations must develop comprehensive guidelines and regulatory frameworks
+      to mitigate bias in AI algorithms and protect user data. Moreover, addressing
+      the social implications of AI, such as potential job displacement, is essential,
+      necessitating investment in workforce retraining and education to prepare for
+      an AI-driven economy.\\n\\n## Key Point 3: Future Directions and Developments\\nLooking
+      ahead, the future of AI promises continued advancements and integration into
+      everyday life. Emerging trends include the development of explainable AI (XAI),
+      enhancing interpretability and understanding of AI decision-making processes.
+      Advances in natural language processing (NLP) will facilitate better human-computer
+      interactions, allowing for more intuitive applications. Additionally, as AI
+      technology becomes increasingly sophisticated, its role in addressing global
+      challenges, such as climate change and healthcare disparities, is expected to
+      expand. Stakeholders must collaborate to ensure that these developments align
+      with ethical standards and societal needs, fostering a responsible AI future.\\n\\n##
+      Conclusion\\nArtificial Intelligence stands at the forefront of technological
+      innovation, with the potential to revolutionize industries and address complex
+      global challenges. However, it is imperative to navigate the ethical considerations
+      and challenges it poses. By fostering responsible AI development, we can harness
+      its transformative power while ensuring equitability and transparency for future
+      generations.\",\n        \"refusal\": null\n      },\n      \"logprobs\": null,\n
+      \     \"finish_reason\": \"stop\"\n    }\n  ],\n  \"usage\": {\n    \"prompt_tokens\":
+      725,\n    \"completion_tokens\": 526,\n    \"total_tokens\": 1251,\n    \"prompt_tokens_details\":
+      {\n      \"cached_tokens\": 0,\n      \"audio_tokens\": 0\n    },\n    \"completion_tokens_details\":
+      {\n      \"reasoning_tokens\": 0,\n      \"audio_tokens\": 0,\n      \"accepted_prediction_tokens\":
+      0,\n      \"rejected_prediction_tokens\": 0\n    }\n  },\n  \"system_fingerprint\":
+      \"fp_0aa8d3e20b\"\n}\n"
+    headers:
+      CF-Cache-Status:
+      - DYNAMIC
+      CF-RAY:
+      - 8fcd98c269880133-GRU
+      Connection:
+      - keep-alive
+      Content-Encoding:
+      - gzip
+      Content-Type:
+      - application/json
+      Date:
+      - Sat, 04 Jan 2025 19:22:28 GMT
+      Server:
+      - cloudflare
+      Transfer-Encoding:
+      - chunked
+      X-Content-Type-Options:
+      - nosniff
+      access-control-expose-headers:
+      - X-Request-ID
+      alt-svc:
+      - h3=":443"; ma=86400
+      openai-organization:
+      - crewai-iuxna1
+      openai-processing-ms:
+      - '8620'
+      openai-version:
+      - '2020-10-01'
+      strict-transport-security:
+      - max-age=31536000; includeSubDomains; preload
+      x-ratelimit-limit-requests:
+      - '30000'
+      x-ratelimit-limit-tokens:
+      - '150000000'
+      x-ratelimit-remaining-requests:
+      - '29999'
+      x-ratelimit-remaining-tokens:
+      - '149998942'
+      x-ratelimit-reset-requests:
+      - 2ms
+      x-ratelimit-reset-tokens:
+      - 0s
+      x-request-id:
+      - req_de480c9e17954e77dece1b2fe013a0d0
+    http_version: HTTP/1.1
+    status_code: 200
+- request:
+    body: !!binary |
+      Cs4CCiQKIgoMc2VydmljZS5uYW1lEhIKEGNyZXdBSS10ZWxlbWV0cnkSpQIKEgoQY3Jld2FpLnRl
+      bGVtZXRyeRKOAgoQCwIBgw9XNdGpuGOOIANe2hIIriM3k2t+0NQqDFRhc2sgQ3JlYXRlZDABOcjF
+      ABuskxcYQfBlARuskxcYSi4KCGNyZXdfa2V5EiIKIDAwYjk0NmJlNDQzNzE0YjNhNDdjMjAxMDFl
+      YjAyZDY2SjEKB2NyZXdfaWQSJgokNzJkZTEwZTQtNDkwZC00NDYwLTk1NzMtMmU5ZmM5YTMwMWE1
+      Si4KCHRhc2tfa2V5EiIKIGI3MTNjODJmZWI5MmM5ZjVjNThiNDBhOTc1NTZiN2FjSjEKB3Rhc2tf
+      aWQSJgokYWYxYTk2MTgtOTI0YS00ZTc5LWI2ZWItNThkYTEzNjk1OWM1egIYAYUBAAEAAA==
+    headers:
+      Accept:
+      - '*/*'
+      Accept-Encoding:
+      - gzip, deflate
+      Connection:
+      - keep-alive
+      Content-Length:
+      - '337'
+      Content-Type:
+      - application/x-protobuf
+      User-Agent:
+      - OTel-OTLP-Exporter-Python/1.27.0
+    method: POST
+    uri: https://telemetry.crewai.com:4319/v1/traces
+  response:
+    body:
+      string: "\n\0"
+    headers:
+      Content-Length:
+      - '2'
+      Content-Type:
+      - application/x-protobuf
+      Date:
+      - Sat, 04 Jan 2025 19:22:32 GMT
+    status:
+      code: 200
+      message: OK
+- request:
+    body: '{"messages": [{"role": "system", "content": "You are Report Writer. You''re
+      an expert at writing structured reports.\nYour personal goal is: Create properly
+      formatted reports\nTo give my best complete final answer to the task use the
+      exact following format:\n\nThought: I now can give a great answer\nFinal Answer:
+      Your final answer must be the great and the most complete as possible, it must
+      be outcome described.\n\nI MUST use these formats, my job depends on it!"},
+      {"role": "user", "content": "\nCurrent Task: Write a report about AI with exactly
+      3 key points.\n\nThis is the expect criteria for your final answer: A properly
+      formatted report\nyou MUST return the actual complete content as the final answer,
+      not a summary.\n\nThis is the context you''re working with:\n### Previous attempt
+      failed validation: Output must end with ''END REPORT'' no formatting, just the
+      word END REPORT\n\n\n### Previous result:\nREPORT:  \n\n# Report on Artificial
+      Intelligence (AI)\n\n## Introduction\nArtificial Intelligence (AI) is a rapidly
+      evolving technology that simulates human intelligence processes by machines,
+      particularly computer systems. AI has a profound impact on various sectors,
+      enhancing efficiency, improving decision-making, and leading to groundbreaking
+      innovations. This report highlights three key points regarding the significance
+      and implications of AI technology.\n\n## Key Point 1: Transformative Potential
+      in Various Industries\nAI''s transformative potential is evident across multiple
+      industries, including healthcare, finance, transportation, and agriculture.
+      In healthcare, AI algorithms can analyze complex medical data, leading to improved
+      diagnostics, personalized medicine, and predictive analytics, thereby enhancing
+      patient outcomes. The financial sector employs AI for risk management, fraud
+      detection, and automated trading, which increases operational efficiency and
+      minimizes human error. In transportation, AI is integral to the development
+      of autonomous vehicles and smart traffic systems, optimizing routes and reducing
+      congestion. Furthermore, agriculture benefits from AI applications through precision
+      farming, which maximizes yield while minimizing environmental impact.\n\n##
+      Key Point 2: Ethical Considerations and Challenges\nAs AI technologies become
+      more pervasive, ethical considerations arise regarding their implementation
+      and use. Concerns include data privacy, algorithmic bias, and the displacement
+      of jobs due to automation. Ensuring that AI systems are transparent, fair, and
+      accountable is crucial in addressing these issues. Organizations must develop
+      comprehensive guidelines and regulatory frameworks to mitigate bias in AI algorithms
+      and protect user data. Moreover, addressing the social implications of AI, such
+      as potential job displacement, is essential, necessitating investment in workforce
+      retraining and education to prepare for an AI-driven economy.\n\n## Key Point
+      3: Future Directions and Developments\nLooking ahead, the future of AI promises
+      continued advancements and integration into everyday life. Emerging trends include
+      the development of explainable AI (XAI), enhancing interpretability and understanding
+      of AI decision-making processes. Advances in natural language processing (NLP)
+      will facilitate better human-computer interactions, allowing for more intuitive
+      applications. Additionally, as AI technology becomes increasingly sophisticated,
+      its role in addressing global challenges, such as climate change and healthcare
+      disparities, is expected to expand. Stakeholders must collaborate to ensure
+      that these developments align with ethical standards and societal needs, fostering
+      a responsible AI future.\n\n## Conclusion\nArtificial Intelligence stands at
+      the forefront of technological innovation, with the potential to revolutionize
+      industries and address complex global challenges. However, it is imperative
+      to navigate the ethical considerations and challenges it poses. By fostering
+      responsible AI development, we can harness its transformative power while ensuring
+      equitability and transparency for future generations.\n\n\nTry again, making
+      sure to address the validation error.\n\nBegin! This is VERY important to you,
+      use the tools available and give your best Final Answer, your job depends on
+      it!\n\nThought:"}], "model": "gpt-4o-mini", "stop": ["\nObservation:"], "stream":
+      false}'
+    headers:
+      accept:
+      - application/json
+      accept-encoding:
+      - gzip, deflate
+      connection:
+      - keep-alive
+      content-length:
+      - '4369'
+      content-type:
+      - application/json
+      cookie:
+      - _cfuvid=SlnUP7AT9jJlQiN.Fm1c7MDyo78_hBRAz8PoabvHVSU-1736018539826-0.0.1.1-604800000;
+        __cf_bm=pumYGlf1gsbVoFNTM1vh9Okj41SgxP3y65T5YWWPU1U-1736018539-1.0.1.1-wmaotkWMviN4lKh6M3P04A8p61Ehm.rTehDpsJhxYhNBNU5.kznMCa3cNXePaEbsKkk4PU2QcWjHj2C7yDrjkw
+      host:
+      - api.openai.com
+      user-agent:
+      - OpenAI/Python 1.52.1
+      x-stainless-arch:
+      - arm64
+      x-stainless-async:
+      - 'false'
+      x-stainless-lang:
+      - python
+      x-stainless-os:
+      - MacOS
+      x-stainless-package-version:
+      - 1.52.1
+      x-stainless-raw-response:
+      - 'true'
+      x-stainless-retry-count:
+      - '0'
+      x-stainless-runtime:
+      - CPython
+      x-stainless-runtime-version:
+      - 3.11.7
+    method: POST
+    uri: https://api.openai.com/v1/chat/completions
+  response:
+    content: "{\n  \"id\": \"chatcmpl-Am4176wzYnk3HmSTkkakM4yl6xVYS\",\n  \"object\":
+      \"chat.completion\",\n  \"created\": 1736018549,\n  \"model\": \"gpt-4o-mini-2024-07-18\",\n
+      \ \"choices\": [\n    {\n      \"index\": 0,\n      \"message\": {\n        \"role\":
+      \"assistant\",\n        \"content\": \"I now can give a great answer  \\nFinal
+      Answer:  \\n\\n# Report on Artificial Intelligence (AI)\\n\\n## Introduction\\nArtificial
+      Intelligence (AI) is a revolutionary technology designed to simulate human intelligence
+      processes, enabling machines to perform tasks that typically require human cognition.
+      Its rapid development has brought forth significant changes across various sectors,
+      improving operational efficiencies, enhancing decision-making, and fostering
+      innovation. This report outlines three key points regarding the impact and implications
+      of AI technology.\\n\\n## Key Point 1: Transformative Potential in Various Industries\\nAI's
+      transformative potential is observable across numerous sectors including healthcare,
+      finance, transportation, and agriculture. In the healthcare sector, AI algorithms
+      are increasingly used to analyze vast amounts of medical data, which sharpens
+      diagnostics, facilitates personalized treatment plans, and enhances predictive
+      analytics, thus leading to better patient care. In finance, AI contributes to
+      risk assessment, fraud detection, and automated trading, heightening efficiency
+      and reducing the risk of human error. The transportation industry leverages
+      AI technologies for developments in autonomous vehicles and smart transportation
+      systems that optimize routes and alleviate traffic congestion. Furthermore,
+      agriculture benefits from AI by applying precision farming techniques that optimize
+      yield and mitigate environmental effects.\\n\\n## Key Point 2: Ethical Considerations
+      and Challenges\\nWith the increasing deployment of AI technologies, numerous
+      ethical considerations surface, particularly relating to privacy, algorithmic
+      fairness, and the displacement of jobs. Addressing issues such as data security,
+      bias in AI algorithms, and the societal impact of automation is paramount. Organizations
+      are encouraged to develop stringent guidelines and regulatory measures aimed
+      at minimizing bias and ensuring that AI systems uphold values of transparency
+      and accountability. Additionally, the implications of job displacement necessitate
+      strategies for workforce retraining and educational reforms to adequately prepare
+      the workforce for an economy increasingly shaped by AI technologies.\\n\\n##
+      Key Point 3: Future Directions and Developments\\nThe future of AI is poised
+      for remarkable advancements, with trends indicating a growing integration into
+      daily life and widespread applications. The emergence of explainable AI (XAI)
+      aims to enhance the transparency and interpretability of AI decision-making
+      processes, fostering trust and understanding among users. Improvements in natural
+      language processing (NLP) are likely to lead to more seamless and intuitive
+      human-computer interactions. Furthermore, AI's potential to address global challenges,
+      including climate change and disparities in healthcare access, is becoming increasingly
+      significant. Collaborative efforts among stakeholders will be vital to ensuring
+      that AI advancements are ethical and responsive to societal needs, paving the
+      way for a responsible and equitable AI landscape.\\n\\n## Conclusion\\nAI technology
+      is at the forefront of innovation, with the capacity to transform industries
+      and tackle pressing global issues. As we navigate through the complexities and
+      ethical challenges posed by AI, it is crucial to prioritize responsible development
+      and implementation. By harnessing AI's transformative capabilities with a focus
+      on equity and transparency, we can pave the way for a promising future that
+      benefits all.\\n\\nEND REPORT\",\n        \"refusal\": null\n      },\n      \"logprobs\":
+      null,\n      \"finish_reason\": \"stop\"\n    }\n  ],\n  \"usage\": {\n    \"prompt_tokens\":
+      730,\n    \"completion_tokens\": 571,\n    \"total_tokens\": 1301,\n    \"prompt_tokens_details\":
+      {\n      \"cached_tokens\": 0,\n      \"audio_tokens\": 0\n    },\n    \"completion_tokens_details\":
+      {\n      \"reasoning_tokens\": 0,\n      \"audio_tokens\": 0,\n      \"accepted_prediction_tokens\":
+      0,\n      \"rejected_prediction_tokens\": 0\n    }\n  },\n  \"system_fingerprint\":
+      \"fp_0aa8d3e20b\"\n}\n"
+    headers:
+      CF-Cache-Status:
+      - DYNAMIC
+      CF-RAY:
+      - 8fcd98f9fc060133-GRU
+      Connection:
+      - keep-alive
+      Content-Encoding:
+      - gzip
+      Content-Type:
+      - application/json
+      Date:
+      - Sat, 04 Jan 2025 19:22:36 GMT
+      Server:
+      - cloudflare
+      Transfer-Encoding:
+      - chunked
+      X-Content-Type-Options:
+      - nosniff
+      access-control-expose-headers:
+      - X-Request-ID
+      alt-svc:
+      - h3=":443"; ma=86400
+      openai-organization:
+      - crewai-iuxna1
+      openai-processing-ms:
+      - '7203'
+      openai-version:
+      - '2020-10-01'
+      strict-transport-security:
+      - max-age=31536000; includeSubDomains; preload
+      x-ratelimit-limit-requests:
+      - '30000'
+      x-ratelimit-limit-tokens:
+      - '150000000'
+      x-ratelimit-remaining-requests:
+      - '29999'
+      x-ratelimit-remaining-tokens:
+      - '149998937'
+      x-ratelimit-reset-requests:
+      - 2ms
+      x-ratelimit-reset-tokens:
+      - 0s
+      x-request-id:
+      - req_cab0502e7d8a8564e56d8f741cf451ec
+    http_version: HTTP/1.1
+    status_code: 200
+- request:
+    body: !!binary |
+      Cs4CCiQKIgoMc2VydmljZS5uYW1lEhIKEGNyZXdBSS10ZWxlbWV0cnkSpQIKEgoQY3Jld2FpLnRl
+      bGVtZXRyeRKOAgoQO/xpq2/yF233Vf8OitYSiBIIdyOEucIqtF8qDFRhc2sgQ3JlYXRlZDABOXDe
+      ZdqtkxcYQUDaZ9qtkxcYSi4KCGNyZXdfa2V5EiIKIDAwYjk0NmJlNDQzNzE0YjNhNDdjMjAxMDFl
+      YjAyZDY2SjEKB2NyZXdfaWQSJgokNzJkZTEwZTQtNDkwZC00NDYwLTk1NzMtMmU5ZmM5YTMwMWE1
+      Si4KCHRhc2tfa2V5EiIKIGI3MTNjODJmZWI5MmM5ZjVjNThiNDBhOTc1NTZiN2FjSjEKB3Rhc2tf
+      aWQSJgokYWYxYTk2MTgtOTI0YS00ZTc5LWI2ZWItNThkYTEzNjk1OWM1egIYAYUBAAEAAA==
+    headers:
+      Accept:
+      - '*/*'
+      Accept-Encoding:
+      - gzip, deflate
+      Connection:
+      - keep-alive
+      Content-Length:
+      - '337'
+      Content-Type:
+      - application/x-protobuf
+      User-Agent:
+      - OTel-OTLP-Exporter-Python/1.27.0
+    method: POST
+    uri: https://telemetry.crewai.com:4319/v1/traces
+  response:
+    body:
+      string: "\n\0"
+    headers:
+      Content-Length:
+      - '2'
+      Content-Type:
+      - application/x-protobuf
+      Date:
+      - Sat, 04 Jan 2025 19:22:37 GMT
+    status:
+      code: 200
+      message: OK
+- request:
+    body: '{"messages": [{"role": "system", "content": "You are Report Writer. You''re
+      an expert at writing structured reports.\nYour personal goal is: Create properly
+      formatted reports\nTo give my best complete final answer to the task use the
+      exact following format:\n\nThought: I now can give a great answer\nFinal Answer:
+      Your final answer must be the great and the most complete as possible, it must
+      be outcome described.\n\nI MUST use these formats, my job depends on it!"},
+      {"role": "user", "content": "\nCurrent Task: Write a report about AI with exactly
+      3 key points.\n\nThis is the expect criteria for your final answer: A properly
+      formatted report\nyou MUST return the actual complete content as the final answer,
+      not a summary.\n\nThis is the context you''re working with:\n### Previous attempt
+      failed validation: Output must start with ''REPORT:'' no formatting, just the
+      word REPORT\n\n\n### Previous result:\n# Report on Artificial Intelligence (AI)\n\n##
+      Introduction\nArtificial Intelligence (AI) is a revolutionary technology designed
+      to simulate human intelligence processes, enabling machines to perform tasks
+      that typically require human cognition. Its rapid development has brought forth
+      significant changes across various sectors, improving operational efficiencies,
+      enhancing decision-making, and fostering innovation. This report outlines three
+      key points regarding the impact and implications of AI technology.\n\n## Key
+      Point 1: Transformative Potential in Various Industries\nAI''s transformative
+      potential is observable across numerous sectors including healthcare, finance,
+      transportation, and agriculture. In the healthcare sector, AI algorithms are
+      increasingly used to analyze vast amounts of medical data, which sharpens diagnostics,
+      facilitates personalized treatment plans, and enhances predictive analytics,
+      thus leading to better patient care. In finance, AI contributes to risk assessment,
+      fraud detection, and automated trading, heightening efficiency and reducing
+      the risk of human error. The transportation industry leverages AI technologies
+      for developments in autonomous vehicles and smart transportation systems that
+      optimize routes and alleviate traffic congestion. Furthermore, agriculture benefits
+      from AI by applying precision farming techniques that optimize yield and mitigate
+      environmental effects.\n\n## Key Point 2: Ethical Considerations and Challenges\nWith
+      the increasing deployment of AI technologies, numerous ethical considerations
+      surface, particularly relating to privacy, algorithmic fairness, and the displacement
+      of jobs. Addressing issues such as data security, bias in AI algorithms, and
+      the societal impact of automation is paramount. Organizations are encouraged
+      to develop stringent guidelines and regulatory measures aimed at minimizing
+      bias and ensuring that AI systems uphold values of transparency and accountability.
+      Additionally, the implications of job displacement necessitate strategies for
+      workforce retraining and educational reforms to adequately prepare the workforce
+      for an economy increasingly shaped by AI technologies.\n\n## Key Point 3: Future
+      Directions and Developments\nThe future of AI is poised for remarkable advancements,
+      with trends indicating a growing integration into daily life and widespread
+      applications. The emergence of explainable AI (XAI) aims to enhance the transparency
+      and interpretability of AI decision-making processes, fostering trust and understanding
+      among users. Improvements in natural language processing (NLP) are likely to
+      lead to more seamless and intuitive human-computer interactions. Furthermore,
+      AI''s potential to address global challenges, including climate change and disparities
+      in healthcare access, is becoming increasingly significant. Collaborative efforts
+      among stakeholders will be vital to ensuring that AI advancements are ethical
+      and responsive to societal needs, paving the way for a responsible and equitable
+      AI landscape.\n\n## Conclusion\nAI technology is at the forefront of innovation,
+      with the capacity to transform industries and tackle pressing global issues.
+      As we navigate through the complexities and ethical challenges posed by AI,
+      it is crucial to prioritize responsible development and implementation. By harnessing
+      AI''s transformative capabilities with a focus on equity and transparency, we
+      can pave the way for a promising future that benefits all.\n\nEND REPORT\n\n\nTry
+      again, making sure to address the validation error.\n\nBegin! This is VERY important
+      to you, use the tools available and give your best Final Answer, your job depends
+      on it!\n\nThought:"}], "model": "gpt-4o-mini", "stop": ["\nObservation:"], "stream":
+      false}'
+    headers:
+      accept:
+      - application/json
+      accept-encoding:
+      - gzip, deflate
+      connection:
+      - keep-alive
+      content-length:
+      - '4669'
+      content-type:
+      - application/json
+      cookie:
+      - _cfuvid=SlnUP7AT9jJlQiN.Fm1c7MDyo78_hBRAz8PoabvHVSU-1736018539826-0.0.1.1-604800000;
+        __cf_bm=pumYGlf1gsbVoFNTM1vh9Okj41SgxP3y65T5YWWPU1U-1736018539-1.0.1.1-wmaotkWMviN4lKh6M3P04A8p61Ehm.rTehDpsJhxYhNBNU5.kznMCa3cNXePaEbsKkk4PU2QcWjHj2C7yDrjkw
+      host:
+      - api.openai.com
+      user-agent:
+      - OpenAI/Python 1.52.1
+      x-stainless-arch:
+      - arm64
+      x-stainless-async:
+      - 'false'
+      x-stainless-lang:
+      - python
+      x-stainless-os:
+      - MacOS
+      x-stainless-package-version:
+      - 1.52.1
+      x-stainless-raw-response:
+      - 'true'
+      x-stainless-retry-count:
+      - '0'
+      x-stainless-runtime:
+      - CPython
+      x-stainless-runtime-version:
+      - 3.11.7
+    method: POST
+    uri: https://api.openai.com/v1/chat/completions
+  response:
+    content: "{\n  \"id\": \"chatcmpl-Am41EaJaKZSumZe8ph2I32d6QNbTP\",\n  \"object\":
+      \"chat.completion\",\n  \"created\": 1736018556,\n  \"model\": \"gpt-4o-mini-2024-07-18\",\n
+      \ \"choices\": [\n    {\n      \"index\": 0,\n      \"message\": {\n        \"role\":
+      \"assistant\",\n        \"content\": \"I now can give a great answer  \\nFinal
+      Answer: \\n\\nREPORT: \\n\\n# Report on Artificial Intelligence (AI)\\n\\n##
+      Introduction\\nArtificial Intelligence (AI) is a revolutionary technology designed
+      to simulate human intelligence processes, enabling machines to perform tasks
+      that typically require human cognition. Its rapid development has brought forth
+      significant changes across various sectors, improving operational efficiencies,
+      enhancing decision-making, and fostering innovation. This report outlines three
+      key points regarding the impact and implications of AI technology.\\n\\n## Key
+      Point 1: Transformative Potential in Various Industries\\nAI's transformative
+      potential is observable across numerous sectors including healthcare, finance,
+      transportation, and agriculture. In the healthcare sector, AI algorithms are
+      increasingly used to analyze vast amounts of medical data, which sharpens diagnostics,
+      facilitates personalized treatment plans, and enhances predictive analytics,
+      thus leading to better patient care. In finance, AI contributes to risk assessment,
+      fraud detection, and automated trading, heightening efficiency and reducing
+      the risk of human error. The transportation industry leverages AI technologies
+      for developments in autonomous vehicles and smart transportation systems that
+      optimize routes and alleviate traffic congestion. Furthermore, agriculture benefits
+      from AI by applying precision farming techniques that optimize yield and mitigate
+      environmental effects.\\n\\n## Key Point 2: Ethical Considerations and Challenges\\nWith
+      the increasing deployment of AI technologies, numerous ethical considerations
+      surface, particularly relating to privacy, algorithmic fairness, and the displacement
+      of jobs. Addressing issues such as data security, bias in AI algorithms, and
+      the societal impact of automation is paramount. Organizations are encouraged
+      to develop stringent guidelines and regulatory measures aimed at minimizing
+      bias and ensuring that AI systems uphold values of transparency and accountability.
+      Additionally, the implications of job displacement necessitate strategies for
+      workforce retraining and educational reforms to adequately prepare the workforce
+      for an economy increasingly shaped by AI technologies.\\n\\n## Key Point 3:
+      Future Directions and Developments\\nThe future of AI is poised for remarkable
+      advancements, with trends indicating a growing integration into daily life and
+      widespread applications. The emergence of explainable AI (XAI) aims to enhance
+      the transparency and interpretability of AI decision-making processes, fostering
+      trust and understanding among users. Improvements in natural language processing
+      (NLP) are likely to lead to more seamless and intuitive human-computer interactions.
+      Furthermore, AI's potential to address global challenges, including climate
+      change and disparities in healthcare access, is becoming increasingly significant.
+      Collaborative efforts among stakeholders will be vital to ensuring that AI advancements
+      are ethical and responsive to societal needs, paving the way for a responsible
+      and equitable AI landscape.\\n\\n## Conclusion\\nAI technology is at the forefront
+      of innovation, with the capacity to transform industries and tackle pressing
+      global issues. As we navigate through the complexities and ethical challenges
+      posed by AI, it is crucial to prioritize responsible development and implementation.
+      By harnessing AI's transformative capabilities with a focus on equity and transparency,
+      we can pave the way for a promising future that benefits all.\\n\\nEND REPORT\",\n
+      \       \"refusal\": null\n      },\n      \"logprobs\": null,\n      \"finish_reason\":
+      \"stop\"\n    }\n  ],\n  \"usage\": {\n    \"prompt_tokens\": 774,\n    \"completion_tokens\":
+      574,\n    \"total_tokens\": 1348,\n    \"prompt_tokens_details\": {\n      \"cached_tokens\":
+      0,\n      \"audio_tokens\": 0\n    },\n    \"completion_tokens_details\": {\n
+      \     \"reasoning_tokens\": 0,\n      \"audio_tokens\": 0,\n      \"accepted_prediction_tokens\":
+      0,\n      \"rejected_prediction_tokens\": 0\n    }\n  },\n  \"system_fingerprint\":
+      \"fp_0aa8d3e20b\"\n}\n"
+    headers:
+      CF-Cache-Status:
+      - DYNAMIC
+      CF-RAY:
+      - 8fcd9928eaa40133-GRU
+      Connection:
+      - keep-alive
+      Content-Encoding:
+      - gzip
+      Content-Type:
+      - application/json
+      Date:
+      - Sat, 04 Jan 2025 19:22:46 GMT
+      Server:
+      - cloudflare
+      Transfer-Encoding:
+      - chunked
+      X-Content-Type-Options:
+      - nosniff
+      access-control-expose-headers:
+      - X-Request-ID
+      alt-svc:
+      - h3=":443"; ma=86400
+      openai-organization:
+      - crewai-iuxna1
+      openai-processing-ms:
+      - '9767'
+      openai-version:
+      - '2020-10-01'
+      strict-transport-security:
+      - max-age=31536000; includeSubDomains; preload
+      x-ratelimit-limit-requests:
+      - '30000'
+      x-ratelimit-limit-tokens:
+      - '150000000'
+      x-ratelimit-remaining-requests:
+      - '29999'
+      x-ratelimit-remaining-tokens:
+      - '149998862'
+      x-ratelimit-reset-requests:
+      - 2ms
+      x-ratelimit-reset-tokens:
+      - 0s
+      x-request-id:
+      - req_d3d0e47180363d07d988cb5ab639597c
+    http_version: HTTP/1.1
+    status_code: 200
+version: 1
--- a/tests/cassettes/test_llm_call_with_ollama_gemma.yaml
+++ b/tests/cassettes/test_llm_call_with_ollama_gemma.yaml
@@ -1,35 +0,0 @@
-interactions:
- request:
-    body: '{"model": "gemma2:latest", "prompt": "### User:\nRespond in 20 words. Who
-      are you?\n\n", "options": {"num_predict": 30, "temperature": 0.7}, "stream":
-      false}'
-    headers:
-      Accept:
-      - '*/*'
-      Accept-Encoding:
-      - gzip, deflate
-      Connection:
-      - keep-alive
-      Content-Length:
-      - '157'
-      Content-Type:
-      - application/json
-      User-Agent:
-      - python-requests/2.31.0
-    method: POST
-    uri: http://localhost:8080/api/generate
-  response:
-    body:
-      string: '{"model":"gemma2:latest","created_at":"2024-09-24T21:57:52.329049Z","response":"I
-        am Gemma, an open-weights AI assistant trained by Google DeepMind.  \n","done":true,"done_reason":"stop","context":[106,1645,108,6176,4926,235292,108,54657,575,235248,235284,235276,3907,235265,7702,708,692,235336,109,107,108,106,2516,108,235285,1144,137061,235269,671,2174,235290,30316,16481,20409,17363,731,6238,20555,35777,235265,139,108],"total_duration":991843667,"load_duration":31664750,"prompt_eval_count":25,"prompt_eval_duration":51409000,"eval_count":19,"eval_duration":908132000}'
-    headers:
-      Content-Length:
-      - '572'
-      Content-Type:
-      - application/json; charset=utf-8
-      Date:
-      - Tue, 24 Sep 2024 21:57:52 GMT
-    status:
-      code: 200
-      message: OK
-version: 1
--- a/tests/cassettes/test_llm_call_with_ollama_llama3.yaml
+++ b/tests/cassettes/test_llm_call_with_ollama_llama3.yaml
@@ -0,0 +1,36 @@
+interactions:
+- request:
+    body: '{"model": "llama3.2:3b", "prompt": "### User:\nRespond in 20 words. Which
+      model are you??\n\n", "options": {"num_predict": 30, "temperature": 0.7}, "stream":
+      false}'
+    headers:
+      Accept:
+      - '*/*'
+      Accept-Encoding:
+      - gzip, deflate
+      Connection:
+      - keep-alive
+      Content-Length:
+      - '164'
+      Content-Type:
+      - application/json
+      User-Agent:
+      - python-requests/2.32.3
+    method: POST
+    uri: http://localhost:11434/api/generate
+  response:
+    body:
+      string: '{"model":"llama3.2:3b","created_at":"2025-01-02T20:24:24.812595Z","response":"I''m
+        an AI, specifically a large language model, designed to understand and respond
+        to user queries with accuracy.","done":true,"done_reason":"stop","context":[128006,9125,128007,271,38766,1303,33025,2696,25,6790,220,2366,18,271,128009,128006,882,128007,271,14711,2724,512,66454,304,220,508,4339,13,16299,1646,527,499,71291,128009,128006,78191,128007,271,40,2846,459,15592,11,11951,264,3544,4221,1646,11,6319,311,3619,323,6013,311,1217,20126,449,13708,13],"total_duration":827817584,"load_duration":41560542,"prompt_eval_count":39,"prompt_eval_duration":384000000,"eval_count":23,"eval_duration":400000000}'
+    headers:
+      Content-Length:
+      - '683'
+      Content-Type:
+      - application/json; charset=utf-8
+      Date:
+      - Thu, 02 Jan 2025 20:24:24 GMT
+    status:
+      code: 200
+      message: OK
+version: 1
--- a/tests/cassettes/test_task_execution_times.yaml
+++ b/tests/cassettes/test_task_execution_times.yaml
@@ -0,0 +1,146 @@
+interactions:
+- request:
+    body: '{"messages": [{"role": "system", "content": "You are Researcher. You''re
+      an expert researcher, specialized in technology, software engineering, AI and
+      startups. You work as a freelancer and is now working on doing research and
+      analysis for a new customer.\nYour personal goal is: Make the best research
+      and analysis on content about AI and AI agents\nTo give my best complete final
+      answer to the task use the exact following format:\n\nThought: I now can give
+      a great answer\nFinal Answer: Your final answer must be the great and the most
+      complete as possible, it must be outcome described.\n\nI MUST use these formats,
+      my job depends on it!"}, {"role": "user", "content": "\nCurrent Task: Give me
+      a list of 5 interesting ideas to explore for na article, what makes them unique
+      and interesting.\n\nThis is the expect criteria for your final answer: Bullet
+      point list of 5 interesting ideas.\nyou MUST return the actual complete content
+      as the final answer, not a summary.\n\nBegin! This is VERY important to you,
+      use the tools available and give your best Final Answer, your job depends on
+      it!\n\nThought:"}], "model": "gpt-4o-mini", "stop": ["\nObservation:"], "stream":
+      false}'
+    headers:
+      accept:
+      - application/json
+      accept-encoding:
+      - gzip, deflate
+      connection:
+      - keep-alive
+      content-length:
+      - '1177'
+      content-type:
+      - application/json
+      host:
+      - api.openai.com
+      user-agent:
+      - OpenAI/Python 1.52.1
+      x-stainless-arch:
+      - arm64
+      x-stainless-async:
+      - 'false'
+      x-stainless-lang:
+      - python
+      x-stainless-os:
+      - MacOS
+      x-stainless-package-version:
+      - 1.52.1
+      x-stainless-raw-response:
+      - 'true'
+      x-stainless-retry-count:
+      - '0'
+      x-stainless-runtime:
+      - CPython
+      x-stainless-runtime-version:
+      - 3.12.7
+    method: POST
+    uri: https://api.openai.com/v1/chat/completions
+  response:
+    content: "{\n  \"id\": \"chatcmpl-AlfwrGToOoVtDhb3ryZMpA07aZy4m\",\n  \"object\":
+      \"chat.completion\",\n  \"created\": 1735926029,\n  \"model\": \"gpt-4o-mini-2024-07-18\",\n
+      \ \"choices\": [\n    {\n      \"index\": 0,\n      \"message\": {\n        \"role\":
+      \"assistant\",\n        \"content\": \"I now can give a great answer  \\nFinal
+      Answer: \\n- **The Role of Emotional Intelligence in AI Agents**: Explore how
+      developing emotional intelligence in AI can change user interactions. Investigate
+      algorithms that enable AI agents to recognize and respond to human emotions,
+      enhancing user experience in sectors such as therapy, customer service, and
+      education. This idea is unique as it blends psychology with artificial intelligence,
+      presenting a new frontier for AI applications.\\n\\n- **AI Agents in Problem-Solving
+      for Climate Change**: Analyze how AI agents can contribute to developing innovative
+      solutions for climate change challenges. Focus on their role in predicting climate
+      patterns, optimizing energy consumption, and managing resources more efficiently.
+      This topic is unique because it highlights the practical impact of AI on one
+      of the most pressing global issues.\\n\\n- **The Ethics of Autonomous Decision-Making
+      AI**: Delve into the ethical implications surrounding AI agents that make autonomous
+      decisions, especially in critical areas like healthcare, transportation, and
+      law enforcement. This idea raises questions about accountability and bias, making
+      it a vital discussion point as AI continues to advance. The unique aspect lies
+      in the intersection of technology and moral philosophy.\\n\\n- **AI Agents Shaping
+      the Future of Remote Work**: Investigate how AI agents are transforming remote
+      work environments through automation, communication facilitation, and performance
+      monitoring. Discuss unique applications such as virtual assistants, project
+      management tools, and AI-driven team collaboration platforms. This topic is
+      particularly relevant as the workforce becomes increasingly remote, making it
+      an appealing area of exploration.\\n\\n- **Cultural Impacts of AI Agents in
+      Media and Entertainment**: Examine how AI-driven characters and narratives are
+      changing the media landscape, from video games to films and animations. Analyze
+      audience reception and the role of AI in personalizing content. This concept
+      is unique due to its intersection with digital culture and artistic expression,
+      offering insights into how technology influences social norms and preferences.\",\n
+      \       \"refusal\": null\n      },\n      \"logprobs\": null,\n      \"finish_reason\":
+      \"stop\"\n    }\n  ],\n  \"usage\": {\n    \"prompt_tokens\": 220,\n    \"completion_tokens\":
+      376,\n    \"total_tokens\": 596,\n    \"prompt_tokens_details\": {\n      \"cached_tokens\":
+      0,\n      \"audio_tokens\": 0\n    },\n    \"completion_tokens_details\": {\n
+      \     \"reasoning_tokens\": 0,\n      \"audio_tokens\": 0,\n      \"accepted_prediction_tokens\":
+      0,\n      \"rejected_prediction_tokens\": 0\n    }\n  },\n  \"system_fingerprint\":
+      \"fp_0aa8d3e20b\"\n}\n"
+    headers:
+      CF-Cache-Status:
+      - DYNAMIC
+      CF-RAY:
+      - 8fc4c6324d42ad5a-POA
+      Connection:
+      - keep-alive
+      Content-Encoding:
+      - gzip
+      Content-Type:
+      - application/json
+      Date:
+      - Fri, 03 Jan 2025 17:40:34 GMT
+      Server:
+      - cloudflare
+      Set-Cookie:
+      - __cf_bm=zdRUS9YIvR7oCmJGeB7BOAnmxI7FOE5Jae5yRZDCnPE-1735926034-1.0.1.1-gvIEXrMfT69wL2mv4ApivWX67OOpDegjf1LE6g9u3GEDuQdLQok.vlLZD.SdGzK0bMug86JZhBeDZMleJlI2EQ;
+        path=/; expires=Fri, 03-Jan-25 18:10:34 GMT; domain=.api.openai.com; HttpOnly;
+        Secure; SameSite=None
+      - _cfuvid=CW_cKQGYWY3cL.S6Xo5z0cmkmWHy5Q50OA_KjPEijNk-1735926034530-0.0.1.1-604800000;
+        path=/; domain=.api.openai.com; HttpOnly; Secure; SameSite=None
+      Transfer-Encoding:
+      - chunked
+      X-Content-Type-Options:
+      - nosniff
+      access-control-expose-headers:
+      - X-Request-ID
+      alt-svc:
+      - h3=":443"; ma=86400
+      openai-organization:
+      - crewai-iuxna1
+      openai-processing-ms:
+      - '5124'
+      openai-version:
+      - '2020-10-01'
+      strict-transport-security:
+      - max-age=31536000; includeSubDomains; preload
+      x-ratelimit-limit-requests:
+      - '30000'
+      x-ratelimit-limit-tokens:
+      - '150000000'
+      x-ratelimit-remaining-requests:
+      - '29999'
+      x-ratelimit-remaining-tokens:
+      - '149999729'
+      x-ratelimit-reset-requests:
+      - 2ms
+      x-ratelimit-reset-tokens:
+      - 0s
+      x-request-id:
+      - req_95ae59da1099e02c0d95bf25ba179fed
+    http_version: HTTP/1.1
+    status_code: 200
+version: 1
--- a/tests/cli/deploy/test_deploy_main.py
+++ b/tests/cli/deploy/test_deploy_main.py
@@ -177,12 +177,12 @@ class TestDeployCommand(unittest.TestCase):
    def test_get_crew_status(self):
        mock_response = MagicMock()
        mock_response.status_code = 200
-        mock_response.json.return_value = {"name": "TestCrew", "status": "active"}
+        mock_response.json.return_value = {"name": "InternalCrew", "status": "active"}
        self.mock_client.crew_status_by_name.return_value = mock_response

        with patch("sys.stdout", new=StringIO()) as fake_out:
            self.deploy_command.get_crew_status()
-            self.assertIn("TestCrew", fake_out.getvalue())
+            self.assertIn("InternalCrew", fake_out.getvalue())
            self.assertIn("active", fake_out.getvalue())

    def test_get_crew_logs(self):
--- a/tests/cli/tools/test_main.py
+++ b/tests/cli/tools/test_main.py
@@ -28,9 +28,10 @@ def test_create_success(mock_subprocess):
    with in_temp_dir():
        tool_command = ToolCommand()

-        with patch.object(tool_command, "login") as mock_login, patch(
-            "sys.stdout", new=StringIO()
-        ) as fake_out:
+        with (
+            patch.object(tool_command, "login") as mock_login,
+            patch("sys.stdout", new=StringIO()) as fake_out,
+        ):
            tool_command.create("test-tool")
            output = fake_out.getvalue()

@@ -82,7 +83,7 @@ def test_install_success(mock_get, mock_subprocess_run):
        capture_output=False,
        text=True,
        check=True,
-        env=unittest.mock.ANY
+        env=unittest.mock.ANY,
    )

    assert "Successfully installed sample-tool" in output
--- a/tests/crew_test.py
+++ b/tests/crew_test.py
@@ -333,16 +333,16 @@ def test_manager_agent_delegating_to_assigned_task_agent():
    )

    mock_task_output = TaskOutput(
-        description="Mock description",
-        raw="mocked output",
-        agent="mocked agent"
+        description="Mock description", raw="mocked output", agent="mocked agent"
    )

    # Because we are mocking execute_sync, we never hit the underlying _execute_core
    # which sets the output attribute of the task
    task.output = mock_task_output

-    with patch.object(Task, 'execute_sync', return_value=mock_task_output) as mock_execute_sync:
+    with patch.object(
+        Task, "execute_sync", return_value=mock_task_output
+    ) as mock_execute_sync:
        crew.kickoff()

        # Verify execute_sync was called once
@@ -350,12 +350,20 @@ def test_manager_agent_delegating_to_assigned_task_agent():

        # Get the tools argument from the call
        _, kwargs = mock_execute_sync.call_args
-        tools = kwargs['tools']
+        tools = kwargs["tools"]

        # Verify the delegation tools were passed correctly
        assert len(tools) == 2
-        assert any("Delegate a specific task to one of the following coworkers: Researcher" in tool.description for tool in tools)
-        assert any("Ask a specific question to one of the following coworkers: Researcher" in tool.description for tool in tools)
+        assert any(
+            "Delegate a specific task to one of the following coworkers: Researcher"
+            in tool.description
+            for tool in tools
+        )
+        assert any(
+            "Ask a specific question to one of the following coworkers: Researcher"
+            in tool.description
+            for tool in tools
+        )


@pytest.mark.vcr(filter_headers=["authorization"])
@@ -404,7 +412,7 @@ def test_manager_agent_delegates_with_varied_role_cases():
        backstory="A researcher with spaces in role name",
        allow_delegation=False,
    )
-    
+
    writer_caps = Agent(
        role="SENIOR WRITER",  # All caps
        goal="Write with caps in role",
@@ -426,13 +434,13 @@ def test_manager_agent_delegates_with_varied_role_cases():
    )

    mock_task_output = TaskOutput(
-        description="Mock description",
-        raw="mocked output",
-        agent="mocked agent"
+        description="Mock description", raw="mocked output", agent="mocked agent"
    )
    task.output = mock_task_output

-    with patch.object(Task, 'execute_sync', return_value=mock_task_output) as mock_execute_sync:
+    with patch.object(
+        Task, "execute_sync", return_value=mock_task_output
+    ) as mock_execute_sync:
        crew.kickoff()

        # Verify execute_sync was called once
@@ -440,20 +448,32 @@ def test_manager_agent_delegates_with_varied_role_cases():

        # Get the tools argument from the call
        _, kwargs = mock_execute_sync.call_args
-        tools = kwargs['tools']
+        tools = kwargs["tools"]

        # Verify the delegation tools were passed correctly and can handle case/whitespace variations
        assert len(tools) == 2
-        
+
        # Check delegation tool descriptions (should work despite case/whitespace differences)
        delegation_tool = tools[0]
        question_tool = tools[1]
-        
-        assert "Delegate a specific task to one of the following coworkers:" in delegation_tool.description
-        assert " Researcher " in delegation_tool.description or "SENIOR WRITER" in delegation_tool.description
-        
-        assert "Ask a specific question to one of the following coworkers:" in question_tool.description
-        assert " Researcher " in question_tool.description or "SENIOR WRITER" in question_tool.description
+
+        assert (
+            "Delegate a specific task to one of the following coworkers:"
+            in delegation_tool.description
+        )
+        assert (
+            " Researcher " in delegation_tool.description
+            or "SENIOR WRITER" in delegation_tool.description
+        )
+
+        assert (
+            "Ask a specific question to one of the following coworkers:"
+            in question_tool.description
+        )
+        assert (
+            " Researcher " in question_tool.description
+            or "SENIOR WRITER" in question_tool.description
+        )


@pytest.mark.vcr(filter_headers=["authorization"])
@@ -479,6 +499,7 @@ def test_crew_with_delegating_agents():
        == "In the rapidly evolving landscape of technology, AI agents have emerged as formidable tools, revolutionizing how we interact with data and automate tasks. These sophisticated systems leverage machine learning and natural language processing to perform a myriad of functions, from virtual personal assistants to complex decision-making companions in industries such as finance, healthcare, and education. By mimicking human intelligence, AI agents can analyze massive data sets at unparalleled speeds, enabling businesses to uncover valuable insights, enhance productivity, and elevate user experiences to unprecedented levels.\n\nOne of the most striking aspects of AI agents is their adaptability; they learn from their interactions and continuously improve their performance over time. This feature is particularly valuable in customer service where AI agents can address inquiries, resolve issues, and provide personalized recommendations without the limitations of human fatigue. Moreover, with intuitive interfaces, AI agents enhance user interactions, making technology more accessible and user-friendly, thereby breaking down barriers that have historically hindered digital engagement.\n\nDespite their immense potential, the deployment of AI agents raises important ethical and practical considerations. Issues related to privacy, data security, and the potential for job displacement necessitate thoughtful dialogue and proactive measures. Striking a balance between technological innovation and societal impact will be crucial as organizations integrate these agents into their operations. Additionally, ensuring transparency in AI decision-making processes is vital to maintain public trust as AI agents become an integral part of daily life.\n\nLooking ahead, the future of AI agents appears bright, with ongoing advancements promising even greater capabilities. As we continue to harness the power of AI, we can expect these agents to play a transformative role in shaping various sectors—streamlining workflows, enabling smarter decision-making, and fostering more personalized experiences. Embracing this technology responsibly can lead to a future where AI agents not only augment human effort but also inspire creativity and efficiency across the board, ultimately redefining our interaction with the digital world."
    )

+
@pytest.mark.vcr(filter_headers=["authorization"])
 def test_crew_with_delegating_agents_should_not_override_task_tools():
    from typing import Type
@@ -489,6 +510,7 @@ def test_crew_with_delegating_agents_should_not_override_task_tools():

    class TestToolInput(BaseModel):
        """Input schema for TestTool."""
+
        query: str = Field(..., description="Query to process")

    class TestTool(BaseTool):
@@ -516,24 +538,29 @@ def test_crew_with_delegating_agents_should_not_override_task_tools():
    )

    mock_task_output = TaskOutput(
-        description="Mock description",
-        raw="mocked output",
-        agent="mocked agent"
+        description="Mock description", raw="mocked output", agent="mocked agent"
    )

    # Because we are mocking execute_sync, we never hit the underlying _execute_core
    # which sets the output attribute of the task
    tasks[0].output = mock_task_output

-    with patch.object(Task, 'execute_sync', return_value=mock_task_output) as mock_execute_sync:
+    with patch.object(
+        Task, "execute_sync", return_value=mock_task_output
+    ) as mock_execute_sync:
        crew.kickoff()

        # Execute the task and verify both tools are present
        _, kwargs = mock_execute_sync.call_args
-        tools = kwargs['tools']
+        tools = kwargs["tools"]
+
+        assert any(
+            isinstance(tool, TestTool) for tool in tools
+        ), "TestTool should be present"
+        assert any(
+            "delegate" in tool.name.lower() for tool in tools
+        ), "Delegation tool should be present"

-        assert any(isinstance(tool, TestTool) for tool in tools), "TestTool should be present"
-        assert any("delegate" in tool.name.lower() for tool in tools), "Delegation tool should be present"

@pytest.mark.vcr(filter_headers=["authorization"])
 def test_crew_with_delegating_agents_should_not_override_agent_tools():
@@ -545,6 +572,7 @@ def test_crew_with_delegating_agents_should_not_override_agent_tools():

    class TestToolInput(BaseModel):
        """Input schema for TestTool."""
+
        query: str = Field(..., description="Query to process")

    class TestTool(BaseTool):
@@ -563,7 +591,7 @@ def test_crew_with_delegating_agents_should_not_override_agent_tools():
        Task(
            description="Produce and amazing 1 paragraph draft of an article about AI Agents.",
            expected_output="A 4 paragraph article about AI.",
-            agent=new_ceo
+            agent=new_ceo,
        )
    ]

@@ -574,24 +602,29 @@ def test_crew_with_delegating_agents_should_not_override_agent_tools():
    )

    mock_task_output = TaskOutput(
-        description="Mock description",
-        raw="mocked output",
-        agent="mocked agent"
+        description="Mock description", raw="mocked output", agent="mocked agent"
    )

    # Because we are mocking execute_sync, we never hit the underlying _execute_core
    # which sets the output attribute of the task
    tasks[0].output = mock_task_output

-    with patch.object(Task, 'execute_sync', return_value=mock_task_output) as mock_execute_sync:
+    with patch.object(
+        Task, "execute_sync", return_value=mock_task_output
+    ) as mock_execute_sync:
        crew.kickoff()

        # Execute the task and verify both tools are present
        _, kwargs = mock_execute_sync.call_args
-        tools = kwargs['tools']
+        tools = kwargs["tools"]
+
+        assert any(
+            isinstance(tool, TestTool) for tool in new_ceo.tools
+        ), "TestTool should be present"
+        assert any(
+            "delegate" in tool.name.lower() for tool in tools
+        ), "Delegation tool should be present"

-        assert any(isinstance(tool, TestTool) for tool in new_ceo.tools), "TestTool should be present"
-        assert any("delegate" in tool.name.lower() for tool in tools), "Delegation tool should be present"

@pytest.mark.vcr(filter_headers=["authorization"])
 def test_task_tools_override_agent_tools():
@@ -603,6 +636,7 @@ def test_task_tools_override_agent_tools():

    class TestToolInput(BaseModel):
        """Input schema for TestTool."""
+
        query: str = Field(..., description="Query to process")

    class TestTool(BaseTool):
@@ -630,14 +664,10 @@ def test_task_tools_override_agent_tools():
        description="Write a test task",
        expected_output="Test output",
        agent=new_researcher,
-        tools=[AnotherTestTool()]
+        tools=[AnotherTestTool()],
    )

-    crew = Crew(
-        agents=[new_researcher],
-        tasks=[task],
-        process=Process.sequential
-    )
+    crew = Crew(agents=[new_researcher], tasks=[task], process=Process.sequential)

    crew.kickoff()

@@ -650,6 +680,7 @@ def test_task_tools_override_agent_tools():
    assert len(new_researcher.tools) == 1
    assert isinstance(new_researcher.tools[0], TestTool)

+
@pytest.mark.vcr(filter_headers=["authorization"])
 def test_task_tools_override_agent_tools_with_allow_delegation():
    """
@@ -702,13 +733,13 @@ def test_task_tools_override_agent_tools_with_allow_delegation():
    )

    mock_task_output = TaskOutput(
-        description="Mock description",
-        raw="mocked output",
-        agent="mocked agent"
+        description="Mock description", raw="mocked output", agent="mocked agent"
    )

    # We mock execute_sync to verify which tools get used at runtime
-    with patch.object(Task, "execute_sync", return_value=mock_task_output) as mock_execute_sync:
+    with patch.object(
+        Task, "execute_sync", return_value=mock_task_output
+    ) as mock_execute_sync:
        crew.kickoff()

        # Inspect the call kwargs to verify the actual tools passed to execution
@@ -716,16 +747,23 @@ def test_task_tools_override_agent_tools_with_allow_delegation():
        used_tools = kwargs["tools"]

        # Confirm AnotherTestTool is present but TestTool is not
-        assert any(isinstance(tool, AnotherTestTool) for tool in used_tools), "AnotherTestTool should be present"
-        assert not any(isinstance(tool, TestTool) for tool in used_tools), "TestTool should not be present among used tools"
+        assert any(
+            isinstance(tool, AnotherTestTool) for tool in used_tools
+        ), "AnotherTestTool should be present"
+        assert not any(
+            isinstance(tool, TestTool) for tool in used_tools
+        ), "TestTool should not be present among used tools"

        # Confirm delegation tool(s) are present
-        assert any("delegate" in tool.name.lower() for tool in used_tools), "Delegation tool should be present"
+        assert any(
+            "delegate" in tool.name.lower() for tool in used_tools
+        ), "Delegation tool should be present"

    # Finally, make sure the agent's original tools remain unchanged
    assert len(researcher_with_delegation.tools) == 1
    assert isinstance(researcher_with_delegation.tools[0], TestTool)

+
@pytest.mark.vcr(filter_headers=["authorization"])
 def test_crew_verbose_output(capsys):
    tasks = [
@@ -1012,8 +1050,8 @@ def test_three_task_with_async_execution():
    )


-@pytest.mark.vcr(filter_headers=["authorization"])
@pytest.mark.asyncio
+@pytest.mark.vcr(filter_headers=["authorization"])
 async def test_crew_async_kickoff():
    inputs = [
        {"topic": "dog"},
@@ -1060,8 +1098,9 @@ async def test_crew_async_kickoff():
            assert result[0].token_usage.successful_requests > 0  # type: ignore


+@pytest.mark.asyncio
@pytest.mark.vcr(filter_headers=["authorization"])
-def test_async_task_execution_call_count():
+async def test_async_task_execution_call_count():
    from unittest.mock import MagicMock, patch

    list_ideas = Task(
@@ -1188,7 +1227,6 @@ def test_kickoff_for_each_empty_input():
    assert results == []


-@pytest.mark.vcr(filter_headers=["authorization"])
 def test_kickoff_for_each_invalid_input():
    """Tests if kickoff_for_each raises TypeError for invalid input types."""

@@ -1211,7 +1249,6 @@ def test_kickoff_for_each_invalid_input():
        crew.kickoff_for_each("invalid input")


-@pytest.mark.vcr(filter_headers=["authorization"])
 def test_kickoff_for_each_error_handling():
    """Tests error handling in kickoff_for_each when kickoff raises an error."""
    from unittest.mock import patch
@@ -1248,7 +1285,6 @@ def test_kickoff_for_each_error_handling():
            crew.kickoff_for_each(inputs=inputs)


-@pytest.mark.vcr(filter_headers=["authorization"])
@pytest.mark.asyncio
 async def test_kickoff_async_basic_functionality_and_output():
    """Tests the basic functionality and output of kickoff_async."""
@@ -1283,7 +1319,6 @@ async def test_kickoff_async_basic_functionality_and_output():
        mock_kickoff.assert_called_once_with(inputs)


-@pytest.mark.vcr(filter_headers=["authorization"])
@pytest.mark.asyncio
 async def test_async_kickoff_for_each_async_basic_functionality_and_output():
    """Tests the basic functionality and output of kickoff_for_each_async."""
@@ -1330,7 +1365,6 @@ async def test_async_kickoff_for_each_async_basic_functionality_and_output():
            mock_kickoff_async.assert_any_call(inputs=input_data)


-@pytest.mark.vcr(filter_headers=["authorization"])
@pytest.mark.asyncio
 async def test_async_kickoff_for_each_async_empty_input():
    """Tests if akickoff_for_each_async handles an empty input list."""
@@ -1514,12 +1548,12 @@ def test_code_execution_flag_adds_code_tool_upon_kickoff():
    crew = Crew(agents=[programmer], tasks=[task])

    mock_task_output = TaskOutput(
-        description="Mock description",
-        raw="mocked output",
-        agent="mocked agent"
+        description="Mock description", raw="mocked output", agent="mocked agent"
    )

-    with patch.object(Task, "execute_sync", return_value=mock_task_output) as mock_execute_sync:
+    with patch.object(
+        Task, "execute_sync", return_value=mock_task_output
+    ) as mock_execute_sync:
        crew.kickoff()

        # Get the tools that were actually used in execution
@@ -1528,7 +1562,10 @@ def test_code_execution_flag_adds_code_tool_upon_kickoff():

        # Verify that exactly one tool was used and it was a CodeInterpreterTool
        assert len(used_tools) == 1, "Should have exactly one tool"
-        assert isinstance(used_tools[0], CodeInterpreterTool), "Tool should be CodeInterpreterTool"
+        assert isinstance(
+            used_tools[0], CodeInterpreterTool
+        ), "Tool should be CodeInterpreterTool"
+

@pytest.mark.vcr(filter_headers=["authorization"])
 def test_delegation_is_not_enabled_if_there_are_only_one_agent():
@@ -1639,16 +1676,16 @@ def test_hierarchical_crew_creation_tasks_with_agents():
    )

    mock_task_output = TaskOutput(
-        description="Mock description",
-        raw="mocked output",
-        agent="mocked agent"
+        description="Mock description", raw="mocked output", agent="mocked agent"
    )

    # Because we are mocking execute_sync, we never hit the underlying _execute_core
    # which sets the output attribute of the task
    task.output = mock_task_output

-    with patch.object(Task, 'execute_sync', return_value=mock_task_output) as mock_execute_sync:
+    with patch.object(
+        Task, "execute_sync", return_value=mock_task_output
+    ) as mock_execute_sync:
        crew.kickoff()

        # Verify execute_sync was called once
@@ -1656,12 +1693,20 @@ def test_hierarchical_crew_creation_tasks_with_agents():

        # Get the tools argument from the call
        _, kwargs = mock_execute_sync.call_args
-        tools = kwargs['tools']
+        tools = kwargs["tools"]

        # Verify the delegation tools were passed correctly
        assert len(tools) == 2
-        assert any("Delegate a specific task to one of the following coworkers: Senior Writer" in tool.description for tool in tools)
-        assert any("Ask a specific question to one of the following coworkers: Senior Writer" in tool.description for tool in tools)
+        assert any(
+            "Delegate a specific task to one of the following coworkers: Senior Writer"
+            in tool.description
+            for tool in tools
+        )
+        assert any(
+            "Ask a specific question to one of the following coworkers: Senior Writer"
+            in tool.description
+            for tool in tools
+        )


@pytest.mark.vcr(filter_headers=["authorization"])
@@ -1684,9 +1729,7 @@ def test_hierarchical_crew_creation_tasks_with_async_execution():
    )

    mock_task_output = TaskOutput(
-        description="Mock description",
-        raw="mocked output",
-        agent="mocked agent"
+        description="Mock description", raw="mocked output", agent="mocked agent"
    )

    # Create a mock Future that returns our TaskOutput
@@ -1697,7 +1740,9 @@ def test_hierarchical_crew_creation_tasks_with_async_execution():
    # which sets the output attribute of the task
    task.output = mock_task_output

-    with patch.object(Task, 'execute_async', return_value=mock_future) as mock_execute_async:
+    with patch.object(
+        Task, "execute_async", return_value=mock_future
+    ) as mock_execute_async:
        crew.kickoff()

        # Verify execute_async was called once
@@ -1705,12 +1750,20 @@ def test_hierarchical_crew_creation_tasks_with_async_execution():

        # Get the tools argument from the call
        _, kwargs = mock_execute_async.call_args
-        tools = kwargs['tools']
+        tools = kwargs["tools"]

        # Verify the delegation tools were passed correctly
        assert len(tools) == 2
-        assert any("Delegate a specific task to one of the following coworkers: Senior Writer\n" in tool.description for tool in tools)
-        assert any("Ask a specific question to one of the following coworkers: Senior Writer\n" in tool.description for tool in tools)
+        assert any(
+            "Delegate a specific task to one of the following coworkers: Senior Writer\n"
+            in tool.description
+            for tool in tools
+        )
+        assert any(
+            "Ask a specific question to one of the following coworkers: Senior Writer\n"
+            in tool.description
+            for tool in tools
+        )


@pytest.mark.vcr(filter_headers=["authorization"])
@@ -2039,7 +2092,6 @@ def test_crew_output_file_end_to_end(tmp_path):
    assert expected_file.exists(), f"Output file {expected_file} was not created"


-@pytest.mark.vcr(filter_headers=["authorization"])
 def test_crew_output_file_validation_failures():
    """Test output file validation failures in a crew context."""
    agent = Agent(
@@ -2055,7 +2107,7 @@ def test_crew_output_file_validation_failures():
            description="Analyze data",
            expected_output="Analysis results",
            agent=agent,
-            output_file="../output.txt"
+            output_file="../output.txt",
        )
        Crew(agents=[agent], tasks=[task]).kickoff()

@@ -2065,7 +2117,7 @@ def test_crew_output_file_validation_failures():
            description="Analyze data",
            expected_output="Analysis results",
            agent=agent,
-            output_file="output.txt | rm -rf /"
+            output_file="output.txt | rm -rf /",
        )
        Crew(agents=[agent], tasks=[task]).kickoff()

@@ -2075,7 +2127,7 @@ def test_crew_output_file_validation_failures():
            description="Analyze data",
            expected_output="Analysis results",
            agent=agent,
-            output_file="~/output.txt"
+            output_file="~/output.txt",
        )
        Crew(agents=[agent], tasks=[task]).kickoff()

@@ -2085,12 +2137,11 @@ def test_crew_output_file_validation_failures():
            description="Analyze data",
            expected_output="Analysis results",
            agent=agent,
-            output_file="{invalid-name}/output.txt"
+            output_file="{invalid-name}/output.txt",
        )
        Crew(agents=[agent], tasks=[task]).kickoff()


-@pytest.mark.vcr(filter_headers=["authorization"])
 def test_manager_agent():
    from unittest.mock import patch

@@ -3049,6 +3100,7 @@ def test_task_tools_preserve_code_execution_tools():

    class TestToolInput(BaseModel):
        """Input schema for TestTool."""
+
        query: str = Field(..., description="Query to process")

    class TestTool(BaseTool):
@@ -3082,7 +3134,7 @@ def test_task_tools_preserve_code_execution_tools():
        description="Write a program to calculate fibonacci numbers.",
        expected_output="A working fibonacci calculator.",
        agent=programmer,
-        tools=[TestTool()]
+        tools=[TestTool()],
    )

    crew = Crew(
@@ -3092,12 +3144,12 @@ def test_task_tools_preserve_code_execution_tools():
    )

    mock_task_output = TaskOutput(
-        description="Mock description",
-        raw="mocked output",
-        agent="mocked agent"
+        description="Mock description", raw="mocked output", agent="mocked agent"
    )

-    with patch.object(Task, "execute_sync", return_value=mock_task_output) as mock_execute_sync:
+    with patch.object(
+        Task, "execute_sync", return_value=mock_task_output
+    ) as mock_execute_sync:
        crew.kickoff()

        # Get the tools that were actually used in execution
@@ -3105,12 +3157,21 @@ def test_task_tools_preserve_code_execution_tools():
        used_tools = kwargs["tools"]

        # Verify all expected tools are present
-        assert any(isinstance(tool, TestTool) for tool in used_tools), "Task's TestTool should be present"
-        assert any(isinstance(tool, CodeInterpreterTool) for tool in used_tools), "CodeInterpreterTool should be present"
-        assert any("delegate" in tool.name.lower() for tool in used_tools), "Delegation tool should be present"
+        assert any(
+            isinstance(tool, TestTool) for tool in used_tools
+        ), "Task's TestTool should be present"
+        assert any(
+            isinstance(tool, CodeInterpreterTool) for tool in used_tools
+        ), "CodeInterpreterTool should be present"
+        assert any(
+            "delegate" in tool.name.lower() for tool in used_tools
+        ), "Delegation tool should be present"

        # Verify the total number of tools (TestTool + CodeInterpreter + 2 delegation tools)
-        assert len(used_tools) == 4, "Should have TestTool, CodeInterpreter, and 2 delegation tools"
+        assert (
+            len(used_tools) == 4
+        ), "Should have TestTool, CodeInterpreter, and 2 delegation tools"
+

@pytest.mark.vcr(filter_headers=["authorization"])
 def test_multimodal_flag_adds_multimodal_tools():
@@ -3139,13 +3200,13 @@ def test_multimodal_flag_adds_multimodal_tools():
    crew = Crew(agents=[multimodal_agent], tasks=[task], process=Process.sequential)

    mock_task_output = TaskOutput(
-        description="Mock description",
-        raw="mocked output",
-        agent="mocked agent"
+        description="Mock description", raw="mocked output", agent="mocked agent"
    )

    # Mock execute_sync to verify the tools passed at runtime
-    with patch.object(Task, "execute_sync", return_value=mock_task_output) as mock_execute_sync:
+    with patch.object(
+        Task, "execute_sync", return_value=mock_task_output
+    ) as mock_execute_sync:
        crew.kickoff()

        # Get the tools that were actually used in execution
@@ -3153,13 +3214,14 @@ def test_multimodal_flag_adds_multimodal_tools():
        used_tools = kwargs["tools"]

        # Check that the multimodal tool was added
-        assert any(isinstance(tool, AddImageTool) for tool in used_tools), (
-            "AddImageTool should be present when agent is multimodal"
-        )
+        assert any(
+            isinstance(tool, AddImageTool) for tool in used_tools
+        ), "AddImageTool should be present when agent is multimodal"

        # Verify we have exactly one tool (just the AddImageTool)
        assert len(used_tools) == 1, "Should only have the AddImageTool"

+
@pytest.mark.vcr(filter_headers=["authorization"])
 def test_multimodal_agent_image_tool_handling():
    """
@@ -3201,10 +3263,10 @@ def test_multimodal_agent_image_tool_handling():
    mock_task_output = TaskOutput(
        description="Mock description",
        raw="A detailed analysis of the image",
-        agent="Image Analyst"
+        agent="Image Analyst",
    )

-    with patch.object(Task, 'execute_sync') as mock_execute_sync:
+    with patch.object(Task, "execute_sync") as mock_execute_sync:
        # Set up the mock to return our task output
        mock_execute_sync.return_value = mock_task_output

@@ -3213,7 +3275,7 @@ def test_multimodal_agent_image_tool_handling():

        # Get the tools that were passed to execute_sync
        _, kwargs = mock_execute_sync.call_args
-        tools = kwargs['tools']
+        tools = kwargs["tools"]

        # Verify the AddImageTool is present and properly configured
        image_tools = [tool for tool in tools if tool.name == "Add image to content"]
@@ -3223,7 +3285,7 @@ def test_multimodal_agent_image_tool_handling():
        image_tool = image_tools[0]
        result = image_tool._run(
            image_url="https://example.com/test-image.jpg",
-            action="Please analyze this image"
+            action="Please analyze this image",
        )

        # Verify the tool returns the expected format
@@ -3233,6 +3295,7 @@ def test_multimodal_agent_image_tool_handling():
        assert result["content"][0]["type"] == "text"
        assert result["content"][1]["type"] == "image_url"

+
@pytest.mark.vcr(filter_headers=["authorization"])
 def test_multimodal_agent_live_image_analysis():
    """
@@ -3246,7 +3309,7 @@ def test_multimodal_agent_live_image_analysis():
        allow_delegation=False,
        multimodal=True,
        verbose=True,
-        llm="gpt-4o"
+        llm="gpt-4o",
    )

    # Create a task for image analysis
@@ -3257,21 +3320,127 @@ def test_multimodal_agent_live_image_analysis():
        Image: {image_url}
        """,
        expected_output="A comprehensive description of the image contents.",
-        agent=image_analyst
+        agent=image_analyst,
    )

    # Create and run the crew
-    crew = Crew(
-        agents=[image_analyst],
-        tasks=[analyze_image]
-    )
+    crew = Crew(agents=[image_analyst], tasks=[analyze_image])

    # Execute with an image URL
-    result = crew.kickoff(inputs={
-        "image_url": "https://media.istockphoto.com/id/946087016/photo/aerial-view-of-lower-manhattan-new-york.jpg?s=612x612&w=0&k=20&c=viLiMRznQ8v5LzKTt_LvtfPFUVl1oiyiemVdSlm29_k="
-    })
+    result = crew.kickoff(
+        inputs={
+            "image_url": "https://media.istockphoto.com/id/946087016/photo/aerial-view-of-lower-manhattan-new-york.jpg?s=612x612&w=0&k=20&c=viLiMRznQ8v5LzKTt_LvtfPFUVl1oiyiemVdSlm29_k="
+        }
+    )

    # Verify we got a meaningful response
    assert isinstance(result.raw, str)
    assert len(result.raw) > 100  # Expecting a detailed analysis
    assert "error" not in result.raw.lower()  # No error messages in response
+
+
+@pytest.mark.vcr(filter_headers=["authorization"])
+def test_crew_with_failing_task_guardrails():
+    """Test that crew properly handles failing guardrails and retries with validation feedback."""
+
+    def strict_format_guardrail(result: TaskOutput):
+        """Validates that the output follows a strict format:
+        - Must start with 'REPORT:'
+        - Must end with 'END REPORT'
+        """
+        content = result.raw.strip()
+
+        if not ('REPORT:' in content or '**REPORT:**' in content):
+            return (False, "Output must start with 'REPORT:' no formatting, just the word REPORT")
+
+        if not ('END REPORT' in content or '**END REPORT**' in content):
+            return (False, "Output must end with 'END REPORT' no formatting, just the word END REPORT")
+
+        return (True, content)
+
+    researcher = Agent(
+        role="Report Writer",
+        goal="Create properly formatted reports",
+        backstory="You're an expert at writing structured reports.",
+    )
+
+    task = Task(
+        description="""Write a report about AI with exactly 3 key points.""",
+        expected_output="A properly formatted report",
+        agent=researcher,
+        guardrail=strict_format_guardrail,
+        max_retries=3
+    )
+
+    crew = Crew(
+        agents=[researcher],
+        tasks=[task],
+    )
+
+    result = crew.kickoff()
+
+    # Verify the final output meets all format requirements
+    content = result.raw.strip()
+    assert content.startswith('REPORT:'), "Output should start with 'REPORT:'"
+    assert content.endswith('END REPORT'), "Output should end with 'END REPORT'"
+
+    # Verify task output
+    task_output = result.tasks_output[0]
+    assert isinstance(task_output, TaskOutput)
+    assert task_output.raw == result.raw
+
+
+@pytest.mark.vcr(filter_headers=["authorization"])
+def test_crew_guardrail_feedback_in_context():
+    """Test that guardrail feedback is properly appended to task context for retries."""
+
+    def format_guardrail(result: TaskOutput):
+        """Validates that the output contains a specific keyword."""
+        if "IMPORTANT" not in result.raw:
+            return (False, "Output must contain the keyword 'IMPORTANT'")
+        return (True, result.raw)
+
+    # Create execution contexts list to track contexts
+    execution_contexts = []
+
+    researcher = Agent(
+        role="Writer",
+        goal="Write content with specific keywords",
+        backstory="You're an expert at following specific writing requirements.",
+        allow_delegation=False
+    )
+
+    task = Task(
+        description="Write a short response.",
+        expected_output="A response containing the keyword 'IMPORTANT'",
+        agent=researcher,
+        guardrail=format_guardrail,
+        max_retries=2
+    )
+
+    crew = Crew(agents=[researcher], tasks=[task])
+
+    with patch.object(Agent, "execute_task") as mock_execute_task:
+        # Define side_effect to capture context and return different responses
+        def side_effect(task, context=None, tools=None):
+            execution_contexts.append(context if context else "")
+            if len(execution_contexts) == 1:
+                return "This is a test response"
+            return "This is an IMPORTANT test response"
+
+        mock_execute_task.side_effect = side_effect
+
+        result = crew.kickoff()
+
+    # Verify that we had multiple executions
+    assert len(execution_contexts) > 1, "Task should have been executed multiple times"
+
+    # Verify that the second execution included the guardrail feedback
+    assert "Output must contain the keyword 'IMPORTANT'" in execution_contexts[1], \
+        "Guardrail feedback should be included in retry context"
+
+    # Verify final output meets guardrail requirements
+    assert "IMPORTANT" in result.raw, "Final output should contain required keyword"
+
+    # Verify task retry count
+    assert task.retry_count == 1, "Task should have been retried once"
--- a/tests/knowledge/knowledge_test.py
+++ b/tests/knowledge/knowledge_test.py
@@ -578,14 +578,6 @@ def test_multiple_docling_sources():
    assert docling_source.content is not None


-def test_docling_source_with_local_file():
-    current_dir = Path(__file__).parent
-    pdf_path = current_dir / "crewai_quickstart.pdf"
-    docling_source = CrewDoclingSource(file_paths=[pdf_path])
-    assert docling_source.file_paths == [pdf_path]
-    assert docling_source.content is not None
-
-
 def test_file_path_validation():
    """Test file path validation for knowledge sources."""
    current_dir = Path(__file__).parent
@@ -606,6 +598,6 @@ def test_file_path_validation():
    # Test neither file_path nor file_paths provided
    with pytest.raises(
        ValueError,
-        match="file_path/file_paths must be a Path, str, or a list of these types"
+        match="file_path/file_paths must be a Path, str, or a list of these types",
    ):
        PDFKnowledgeSource()
--- a/tests/project_test.py
+++ b/tests/project_test.py
@@ -27,7 +27,7 @@ class SimpleCrew:


@CrewBase
-class TestCrew:
+class InternalCrew:
    agents_config = "config/agents.yaml"
    tasks_config = "config/tasks.yaml"

@@ -84,7 +84,7 @@ def test_task_memoization():


 def test_crew_memoization():
-    crew = TestCrew()
+    crew = InternalCrew()
    first_call_result = crew.crew()
    second_call_result = crew.crew()

@@ -107,7 +107,7 @@ def test_task_name():

@pytest.mark.vcr(filter_headers=["authorization"])
 def test_before_kickoff_modification():
-    crew = TestCrew()
+    crew = InternalCrew()
    inputs = {"topic": "LLMs"}
    result = crew.crew().kickoff(inputs=inputs)
    assert "bicycles" in result.raw, "Before kickoff function did not modify inputs"
@@ -115,7 +115,7 @@ def test_before_kickoff_modification():

@pytest.mark.vcr(filter_headers=["authorization"])
 def test_after_kickoff_modification():
-    crew = TestCrew()
+    crew = InternalCrew()
    # Assuming the crew execution returns a dict
    result = crew.crew().kickoff({"topic": "LLMs"})

@@ -126,7 +126,7 @@ def test_after_kickoff_modification():

@pytest.mark.vcr(filter_headers=["authorization"])
 def test_before_kickoff_with_none_input():
-    crew = TestCrew()
+    crew = InternalCrew()
    crew.crew().kickoff(None)
    # Test should pass without raising exceptions

--- a/tests/task_test.py
+++ b/tests/task_test.py
@@ -719,7 +719,7 @@ def test_interpolate_inputs():
    task = Task(
        description="Give me a list of 5 interesting ideas about {topic} to explore for an article, what makes them unique and interesting.",
        expected_output="Bullet point list of 5 interesting ideas about {topic}.",
-        output_file="/tmp/{topic}/output_{date}.txt"
+        output_file="/tmp/{topic}/output_{date}.txt",
    )

    task.interpolate_inputs(inputs={"topic": "AI", "date": "2024"})
@@ -742,41 +742,35 @@ def test_interpolate_inputs():
 def test_interpolate_only():
    """Test the interpolate_only method for various scenarios including JSON structure preservation."""
    task = Task(
-        description="Unused in this test",
-        expected_output="Unused in this test"
+        description="Unused in this test", expected_output="Unused in this test"
    )
-    
+
    # Test JSON structure preservation
    json_string = '{"info": "Look at {placeholder}", "nested": {"val": "{nestedVal}"}}'
    result = task.interpolate_only(
        input_string=json_string,
-        inputs={"placeholder": "the data", "nestedVal": "something else"}
+        inputs={"placeholder": "the data", "nestedVal": "something else"},
    )
    assert '"info": "Look at the data"' in result
    assert '"val": "something else"' in result
    assert "{placeholder}" not in result
    assert "{nestedVal}" not in result
-    
+
    # Test normal string interpolation
    normal_string = "Hello {name}, welcome to {place}!"
    result = task.interpolate_only(
-        input_string=normal_string,
-        inputs={"name": "John", "place": "CrewAI"}
+        input_string=normal_string, inputs={"name": "John", "place": "CrewAI"}
    )
    assert result == "Hello John, welcome to CrewAI!"
-    
+
    # Test empty string
-    result = task.interpolate_only(
-        input_string="",
-        inputs={"unused": "value"}
-    )
+    result = task.interpolate_only(input_string="", inputs={"unused": "value"})
    assert result == ""
-    
+
    # Test string with no placeholders
    no_placeholders = "Hello, this is a test"
    result = task.interpolate_only(
-        input_string=no_placeholders,
-        inputs={"unused": "value"}
+        input_string=no_placeholders, inputs={"unused": "value"}
    )
    assert result == no_placeholders

@@ -880,56 +874,91 @@ def test_key():
 def test_output_file_validation():
    """Test output file path validation."""
    # Valid paths
-    assert Task(
-        description="Test task",
-        expected_output="Test output",
-        output_file="output.txt"
-    ).output_file == "output.txt"
-    assert Task(
-        description="Test task",
-        expected_output="Test output",
-        output_file="/tmp/output.txt"
-    ).output_file == "tmp/output.txt"
-    assert Task(
-        description="Test task",
-        expected_output="Test output",
-        output_file="{dir}/output_{date}.txt"
-    ).output_file == "{dir}/output_{date}.txt"
-    
+    assert (
+        Task(
+            description="Test task",
+            expected_output="Test output",
+            output_file="output.txt",
+        ).output_file
+        == "output.txt"
+    )
+    assert (
+        Task(
+            description="Test task",
+            expected_output="Test output",
+            output_file="/tmp/output.txt",
+        ).output_file
+        == "tmp/output.txt"
+    )
+    assert (
+        Task(
+            description="Test task",
+            expected_output="Test output",
+            output_file="{dir}/output_{date}.txt",
+        ).output_file
+        == "{dir}/output_{date}.txt"
+    )
+
    # Invalid paths
    with pytest.raises(ValueError, match="Path traversal"):
        Task(
            description="Test task",
            expected_output="Test output",
-            output_file="../output.txt"
+            output_file="../output.txt",
        )
    with pytest.raises(ValueError, match="Path traversal"):
        Task(
            description="Test task",
            expected_output="Test output",
-            output_file="folder/../output.txt"
+            output_file="folder/../output.txt",
        )
    with pytest.raises(ValueError, match="Shell special characters"):
        Task(
            description="Test task",
            expected_output="Test output",
-            output_file="output.txt | rm -rf /"
+            output_file="output.txt | rm -rf /",
        )
    with pytest.raises(ValueError, match="Shell expansion"):
        Task(
            description="Test task",
            expected_output="Test output",
-            output_file="~/output.txt"
+            output_file="~/output.txt",
        )
    with pytest.raises(ValueError, match="Shell expansion"):
        Task(
            description="Test task",
            expected_output="Test output",
-            output_file="$HOME/output.txt"
+            output_file="$HOME/output.txt",
        )
    with pytest.raises(ValueError, match="Invalid template variable"):
        Task(
            description="Test task",
            expected_output="Test output",
-            output_file="{invalid-name}/output.txt"
+            output_file="{invalid-name}/output.txt",
        )
+
+
+@pytest.mark.vcr(filter_headers=["authorization"])
+def test_task_execution_times():
+    researcher = Agent(
+        role="Researcher",
+        goal="Make the best research and analysis on content about AI and AI agents",
+        backstory="You're an expert researcher, specialized in technology, software engineering, AI and startups. You work as a freelancer and is now working on doing research and analysis for a new customer.",
+        allow_delegation=False,
+    )
+
+    task = Task(
+        description="Give me a list of 5 interesting ideas to explore for na article, what makes them unique and interesting.",
+        expected_output="Bullet point list of 5 interesting ideas.",
+        agent=researcher,
+    )
+
+    assert task.start_time is None
+    assert task.end_time is None
+    assert task.execution_duration is None
+
+    task.execute_sync(agent=researcher)
+
+    assert task.start_time is not None
+    assert task.end_time is not None
+    assert task.execution_duration == (task.end_time - task.start_time).total_seconds()
--- a/tests/test_manager_llm_delegation.py
+++ b/tests/test_manager_llm_delegation.py
@@ -6,50 +6,51 @@ from crewai import Agent, Task
 from crewai.tools.agent_tools.base_agent_tools import BaseAgentTool


-class TestAgentTool(BaseAgentTool):
+class InternalAgentTool(BaseAgentTool):
    """Concrete implementation of BaseAgentTool for testing."""
+
    def _run(self, *args, **kwargs):
        """Implement required _run method."""
        return "Test response"

-@pytest.mark.parametrize("role_name,should_match", [
-    ('Futel Official Infopoint', True),                    # exact match
-    ('  "Futel Official Infopoint"  ', True),             # extra quotes and spaces
-    ('Futel Official Infopoint\n', True),                 # trailing newline
-    ('"Futel Official Infopoint"', True),                 # embedded quotes
-    (' FUTEL\nOFFICIAL   INFOPOINT ', True),             # multiple whitespace and newline
-    ('futel official infopoint', True),                   # lowercase
-    ('FUTEL OFFICIAL INFOPOINT', True),                   # uppercase
-    ('Non Existent Agent', False),                        # non-existent agent
-    (None, False),                                        # None agent name
-])
+
+@pytest.mark.parametrize(
+    "role_name,should_match",
+    [
+        ("Futel Official Infopoint", True),  # exact match
+        ('  "Futel Official Infopoint"  ', True),  # extra quotes and spaces
+        ("Futel Official Infopoint\n", True),  # trailing newline
+        ('"Futel Official Infopoint"', True),  # embedded quotes
+        (" FUTEL\nOFFICIAL   INFOPOINT ", True),  # multiple whitespace and newline
+        ("futel official infopoint", True),  # lowercase
+        ("FUTEL OFFICIAL INFOPOINT", True),  # uppercase
+        ("Non Existent Agent", False),  # non-existent agent
+        (None, False),  # None agent name
+    ],
+)
 def test_agent_tool_role_matching(role_name, should_match):
    """Test that agent tools can match roles regardless of case, whitespace, and special characters."""
    # Create test agent
    test_agent = Agent(
-        role='Futel Official Infopoint',
-        goal='Answer questions about Futel',
-        backstory='Futel Football Club info',
-        allow_delegation=False
+        role="Futel Official Infopoint",
+        goal="Answer questions about Futel",
+        backstory="Futel Football Club info",
+        allow_delegation=False,
    )

    # Create test agent tool
-    agent_tool = TestAgentTool(
-        name="test_tool",
-        description="Test tool",
-        agents=[test_agent]
+    agent_tool = InternalAgentTool(
+        name="test_tool", description="Test tool", agents=[test_agent]
    )

    # Test role matching
-    result = agent_tool._execute(
-        agent_name=role_name,
-        task='Test task',
-        context=None
-    )
+    result = agent_tool._execute(agent_name=role_name, task="Test task", context=None)

    if should_match:
-        assert "coworker mentioned not found" not in result.lower(), \
-            f"Should find agent with role name: {role_name}"
+        assert (
+            "coworker mentioned not found" not in result.lower()
+        ), f"Should find agent with role name: {role_name}"
    else:
-        assert "coworker mentioned not found" in result.lower(), \
-            f"Should not find agent with role name: {role_name}"
+        assert (
+            "coworker mentioned not found" in result.lower()
+        ), f"Should not find agent with role name: {role_name}"
--- a/tests/test_task_guardrails.py
+++ b/tests/test_task_guardrails.py
@@ -15,10 +15,7 @@ def test_task_without_guardrail():
    agent.execute_task.return_value = "test result"
    agent.crew = None

-    task = Task(
-        description="Test task",
-        expected_output="Output"
-    )
+    task = Task(description="Test task", expected_output="Output")

    result = task.execute_sync(agent=agent)
    assert isinstance(result, TaskOutput)
@@ -27,6 +24,7 @@ def test_task_without_guardrail():

 def test_task_with_successful_guardrail():
    """Test that successful guardrail validation passes transformed result."""
+
    def guardrail(result: TaskOutput):
        return (True, result.raw.upper())

@@ -35,11 +33,7 @@ def test_task_with_successful_guardrail():
    agent.execute_task.return_value = "test result"
    agent.crew = None

-    task = Task(
-        description="Test task",
-        expected_output="Output",
-        guardrail=guardrail
-    )
+    task = Task(description="Test task", expected_output="Output", guardrail=guardrail)

    result = task.execute_sync(agent=agent)
    assert isinstance(result, TaskOutput)
@@ -48,22 +42,20 @@ def test_task_with_successful_guardrail():

 def test_task_with_failing_guardrail():
    """Test that failing guardrail triggers retry with error context."""
+
    def guardrail(result: TaskOutput):
        return (False, "Invalid format")

    agent = Mock()
    agent.role = "test_agent"
-    agent.execute_task.side_effect = [
-        "bad result",
-        "good result"
-    ]
+    agent.execute_task.side_effect = ["bad result", "good result"]
    agent.crew = None

    task = Task(
        description="Test task",
        expected_output="Output",
        guardrail=guardrail,
-        max_retries=1
+        max_retries=1,
    )

    # First execution fails guardrail, second succeeds
@@ -77,6 +69,7 @@ def test_task_with_failing_guardrail():

 def test_task_with_guardrail_retries():
    """Test that guardrail respects max_retries configuration."""
+
    def guardrail(result: TaskOutput):
        return (False, "Invalid format")

@@ -89,7 +82,7 @@ def test_task_with_guardrail_retries():
        description="Test task",
        expected_output="Output",
        guardrail=guardrail,
-        max_retries=2
+        max_retries=2,
    )

    with pytest.raises(Exception) as exc_info:
@@ -102,6 +95,7 @@ def test_task_with_guardrail_retries():

 def test_guardrail_error_in_context():
    """Test that guardrail error is passed in context for retry."""
+
    def guardrail(result: TaskOutput):
        return (False, "Expected JSON, got string")

@@ -113,11 +107,12 @@ def test_guardrail_error_in_context():
        description="Test task",
        expected_output="Output",
        guardrail=guardrail,
-        max_retries=1
+        max_retries=1,
    )

    # Mock execute_task to succeed on second attempt
    first_call = True
+
    def execute_task(task, context, tools):
        nonlocal first_call
        if first_call:
--- a/tests/tools/test_base_tool.py
+++ b/tests/tools/test_base_tool.py
@@ -15,7 +15,7 @@ def test_creating_a_tool_using_annotation():
        my_tool.description
        == "Tool Name: Name of my tool\nTool Arguments: {'question': {'description': None, 'type': 'str'}}\nTool Description: Clear description for what this tool is useful for, your agent will need this information to use it."
    )
-    assert my_tool.args_schema.schema()["properties"] == {
+    assert my_tool.args_schema.model_json_schema()["properties"] == {
        "question": {"title": "Question", "type": "string"}
    }
    assert (
@@ -29,7 +29,7 @@ def test_creating_a_tool_using_annotation():
        converted_tool.description
        == "Tool Name: Name of my tool\nTool Arguments: {'question': {'description': None, 'type': 'str'}}\nTool Description: Clear description for what this tool is useful for, your agent will need this information to use it."
    )
-    assert converted_tool.args_schema.schema()["properties"] == {
+    assert converted_tool.args_schema.model_json_schema()["properties"] == {
        "question": {"title": "Question", "type": "string"}
    }
    assert (
@@ -54,7 +54,7 @@ def test_creating_a_tool_using_baseclass():
        my_tool.description
        == "Tool Name: Name of my tool\nTool Arguments: {'question': {'description': None, 'type': 'str'}}\nTool Description: Clear description for what this tool is useful for, your agent will need this information to use it."
    )
-    assert my_tool.args_schema.schema()["properties"] == {
+    assert my_tool.args_schema.model_json_schema()["properties"] == {
        "question": {"title": "Question", "type": "string"}
    }
    assert my_tool.run("What is the meaning of life?") == "What is the meaning of life?"
@@ -66,7 +66,7 @@ def test_creating_a_tool_using_baseclass():
        converted_tool.description
        == "Tool Name: Name of my tool\nTool Arguments: {'question': {'description': None, 'type': 'str'}}\nTool Description: Clear description for what this tool is useful for, your agent will need this information to use it."
    )
-    assert converted_tool.args_schema.schema()["properties"] == {
+    assert converted_tool.args_schema.model_json_schema()["properties"] == {
        "question": {"title": "Question", "type": "string"}
    }
    assert (
--- a/tests/tools/test_structured_tool.py
+++ b/tests/tools/test_structured_tool.py
@@ -25,7 +25,7 @@ def schema_class():
    return TestSchema


-class TestCrewStructuredTool:
+class InternalCrewStructuredTool:
    def test_initialization(self, basic_function, schema_class):
        """Test basic initialization of CrewStructuredTool"""
        tool = CrewStructuredTool(
--- a/tests/utilities/evaluators/test_crew_evaluator_handler.py
+++ b/tests/utilities/evaluators/test_crew_evaluator_handler.py
@@ -12,7 +12,7 @@ from crewai.utilities.evaluators.crew_evaluator_handler import (
 )


-class TestCrewEvaluator:
+class InternalCrewEvaluator:
    @pytest.fixture
    def crew_planner(self):
        agent = Agent(role="Agent 1", goal="Goal 1", backstory="Backstory 1")
--- a/tests/utilities/test_planning_handler.py
+++ b/tests/utilities/test_planning_handler.py
@@ -16,7 +16,7 @@ from crewai.utilities.planning_handler import (
 )


-class TestCrewPlanner:
+class InternalCrewPlanner:
    @pytest.fixture
    def crew_planner(self):
        tasks = [
@@ -115,13 +115,13 @@ class TestCrewPlanner:
            def __init__(self, name: str, description: str):
                tool_data = {"name": name, "description": description}
                super().__init__(**tool_data)
-            
+
            def __str__(self):
                return self.name
-            
+
            def __repr__(self):
                return self.name
-            
+
            def to_structured_tool(self):
                return self

@@ -149,11 +149,11 @@ class TestCrewPlanner:
                ]
            )
        )
-        
+
        # Create planner with the new task
        planner = CrewPlanner([task], None)
        tasks_summary = planner._create_tasks_summary()
-        
+
        # Verify task summary content
        assert isinstance(tasks_summary, str)
        assert task.description in tasks_summary
--- a/tests/utilities/test_training_handler.py
+++ b/tests/utilities/test_training_handler.py
@@ -4,7 +4,7 @@ import unittest
 from crewai.utilities.training_handler import CrewTrainingHandler


-class TestCrewTrainingHandler(unittest.TestCase):
+class InternalCrewTrainingHandler(unittest.TestCase):
    def setUp(self):
        self.handler = CrewTrainingHandler("trained_data.pkl")

--- a/uv.lock
+++ b/uv.lock
@@ -1,10 +1,42 @@
 version = 1
 requires-python = ">=3.10, <3.13"
 resolution-markers = [
-    "python_full_version < '3.11'",
-    "python_full_version == '3.11.*'",
-    "python_full_version >= '3.12' and python_full_version < '3.12.4'",
-    "python_full_version >= '3.12.4'",
+    "python_full_version < '3.11' and platform_system == 'Darwin' and sys_platform == 'darwin'",
+    "python_full_version < '3.11' and platform_machine == 'aarch64' and platform_system == 'Linux' and sys_platform == 'darwin'",
+    "(python_full_version < '3.11' and platform_machine != 'aarch64' and platform_system != 'Darwin' and sys_platform == 'darwin') or (python_full_version < '3.11' and platform_system != 'Darwin' and platform_system != 'Linux' and sys_platform == 'darwin')",
+    "python_full_version < '3.11' and platform_machine == 'aarch64' and platform_system == 'Darwin' and sys_platform == 'linux'",
+    "python_full_version < '3.11' and platform_machine == 'aarch64' and platform_system == 'Linux' and sys_platform == 'linux'",
+    "python_full_version < '3.11' and platform_machine == 'aarch64' and platform_system != 'Darwin' and platform_system != 'Linux' and sys_platform == 'linux'",
+    "(python_full_version < '3.11' and platform_machine != 'aarch64' and platform_system == 'Darwin' and sys_platform != 'darwin') or (python_full_version < '3.11' and platform_system == 'Darwin' and sys_platform != 'darwin' and sys_platform != 'linux')",
+    "python_full_version < '3.11' and platform_machine == 'aarch64' and platform_system == 'Linux' and sys_platform != 'darwin' and sys_platform != 'linux'",
+    "(python_full_version < '3.11' and platform_machine != 'aarch64' and platform_system != 'Darwin' and sys_platform != 'darwin') or (python_full_version < '3.11' and platform_system != 'Darwin' and platform_system != 'Linux' and sys_platform != 'darwin' and sys_platform != 'linux')",
+    "python_full_version == '3.11.*' and platform_system == 'Darwin' and sys_platform == 'darwin'",
+    "python_full_version == '3.11.*' and platform_machine == 'aarch64' and platform_system == 'Linux' and sys_platform == 'darwin'",
+    "(python_full_version == '3.11.*' and platform_machine != 'aarch64' and platform_system != 'Darwin' and sys_platform == 'darwin') or (python_full_version == '3.11.*' and platform_system != 'Darwin' and platform_system != 'Linux' and sys_platform == 'darwin')",
+    "python_full_version == '3.11.*' and platform_machine == 'aarch64' and platform_system == 'Darwin' and sys_platform == 'linux'",
+    "python_full_version == '3.11.*' and platform_machine == 'aarch64' and platform_system == 'Linux' and sys_platform == 'linux'",
+    "python_full_version == '3.11.*' and platform_machine == 'aarch64' and platform_system != 'Darwin' and platform_system != 'Linux' and sys_platform == 'linux'",
+    "(python_full_version == '3.11.*' and platform_machine != 'aarch64' and platform_system == 'Darwin' and sys_platform != 'darwin') or (python_full_version == '3.11.*' and platform_system == 'Darwin' and sys_platform != 'darwin' and sys_platform != 'linux')",
+    "python_full_version == '3.11.*' and platform_machine == 'aarch64' and platform_system == 'Linux' and sys_platform != 'darwin' and sys_platform != 'linux'",
+    "(python_full_version == '3.11.*' and platform_machine != 'aarch64' and platform_system != 'Darwin' and sys_platform != 'darwin') or (python_full_version == '3.11.*' and platform_system != 'Darwin' and platform_system != 'Linux' and sys_platform != 'darwin' and sys_platform != 'linux')",
+    "python_full_version >= '3.12' and python_full_version < '3.12.4' and platform_system == 'Darwin' and sys_platform == 'darwin'",
+    "python_full_version >= '3.12' and python_full_version < '3.12.4' and platform_machine == 'aarch64' and platform_system == 'Linux' and sys_platform == 'darwin'",
+    "(python_full_version >= '3.12' and python_full_version < '3.12.4' and platform_machine != 'aarch64' and platform_system != 'Darwin' and sys_platform == 'darwin') or (python_full_version >= '3.12' and python_full_version < '3.12.4' and platform_system != 'Darwin' and platform_system != 'Linux' and sys_platform == 'darwin')",
+    "python_full_version >= '3.12' and python_full_version < '3.12.4' and platform_machine == 'aarch64' and platform_system == 'Darwin' and sys_platform == 'linux'",
+    "python_full_version >= '3.12' and python_full_version < '3.12.4' and platform_machine == 'aarch64' and platform_system == 'Linux' and sys_platform == 'linux'",
+    "python_full_version >= '3.12' and python_full_version < '3.12.4' and platform_machine == 'aarch64' and platform_system != 'Darwin' and platform_system != 'Linux' and sys_platform == 'linux'",
+    "(python_full_version >= '3.12' and python_full_version < '3.12.4' and platform_machine != 'aarch64' and platform_system == 'Darwin' and sys_platform != 'darwin') or (python_full_version >= '3.12' and python_full_version < '3.12.4' and platform_system == 'Darwin' and sys_platform != 'darwin' and sys_platform != 'linux')",
+    "python_full_version >= '3.12' and python_full_version < '3.12.4' and platform_machine == 'aarch64' and platform_system == 'Linux' and sys_platform != 'darwin' and sys_platform != 'linux'",
+    "(python_full_version >= '3.12' and python_full_version < '3.12.4' and platform_machine != 'aarch64' and platform_system != 'Darwin' and sys_platform != 'darwin') or (python_full_version >= '3.12' and python_full_version < '3.12.4' and platform_system != 'Darwin' and platform_system != 'Linux' and sys_platform != 'darwin' and sys_platform != 'linux')",
+    "python_full_version >= '3.12.4' and platform_system == 'Darwin' and sys_platform == 'darwin'",
+    "python_full_version >= '3.12.4' and platform_machine == 'aarch64' and platform_system == 'Linux' and sys_platform == 'darwin'",
+    "(python_full_version >= '3.12.4' and platform_machine != 'aarch64' and platform_system != 'Darwin' and sys_platform == 'darwin') or (python_full_version >= '3.12.4' and platform_system != 'Darwin' and platform_system != 'Linux' and sys_platform == 'darwin')",
+    "python_full_version >= '3.12.4' and platform_machine == 'aarch64' and platform_system == 'Darwin' and sys_platform == 'linux'",
+    "python_full_version >= '3.12.4' and platform_machine == 'aarch64' and platform_system == 'Linux' and sys_platform == 'linux'",
+    "python_full_version >= '3.12.4' and platform_machine == 'aarch64' and platform_system != 'Darwin' and platform_system != 'Linux' and sys_platform == 'linux'",
+    "(python_full_version >= '3.12.4' and platform_machine != 'aarch64' and platform_system == 'Darwin' and sys_platform != 'darwin') or (python_full_version >= '3.12.4' and platform_system == 'Darwin' and sys_platform != 'darwin' and sys_platform != 'linux')",
+    "python_full_version >= '3.12.4' and platform_machine == 'aarch64' and platform_system == 'Linux' and sys_platform != 'darwin' and sys_platform != 'linux'",
+    "(python_full_version >= '3.12.4' and platform_machine != 'aarch64' and platform_system != 'Darwin' and sys_platform != 'darwin') or (python_full_version >= '3.12.4' and platform_system != 'Darwin' and platform_system != 'Linux' and sys_platform != 'darwin' and sys_platform != 'linux')",
 ]

 [[package]]
@@ -34,7 +66,7 @@ wheels = [

 [[package]]
 name = "aiohttp"
-version = "3.10.10"
+version = "3.11.11"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
    { name = "aiohappyeyeballs" },
@@ -43,55 +75,56 @@ dependencies = [
    { name = "attrs" },
    { name = "frozenlist" },
    { name = "multidict" },
+    { name = "propcache" },
    { name = "yarl" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/17/7e/16e57e6cf20eb62481a2f9ce8674328407187950ccc602ad07c685279141/aiohttp-3.10.10.tar.gz", hash = "sha256:0631dd7c9f0822cc61c88586ca76d5b5ada26538097d0f1df510b082bad3411a", size = 7542993 }
+sdist = { url = "https://files.pythonhosted.org/packages/fe/ed/f26db39d29cd3cb2f5a3374304c713fe5ab5a0e4c8ee25a0c45cc6adf844/aiohttp-3.11.11.tar.gz", hash = "sha256:bb49c7f1e6ebf3821a42d81d494f538107610c3a705987f53068546b0e90303e", size = 7669618 }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/3d/dd/3d40c0e67e79c5c42671e3e268742f1ff96c6573ca43823563d01abd9475/aiohttp-3.10.10-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:be7443669ae9c016b71f402e43208e13ddf00912f47f623ee5994e12fc7d4b3f", size = 586969 },
-    { url = "https://files.pythonhosted.org/packages/75/64/8de41b5555e5b43ef6d4ed1261891d33fe45ecc6cb62875bfafb90b9ab93/aiohttp-3.10.10-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:7b06b7843929e41a94ea09eb1ce3927865387e3e23ebe108e0d0d09b08d25be9", size = 399367 },
-    { url = "https://files.pythonhosted.org/packages/96/36/27bd62ea7ce43906d1443a73691823fc82ffb8fa03276b0e2f7e1037c286/aiohttp-3.10.10-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:333cf6cf8e65f6a1e06e9eb3e643a0c515bb850d470902274239fea02033e9a8", size = 390720 },
-    { url = "https://files.pythonhosted.org/packages/e8/4d/d516b050d811ce0dd26325c383013c104ffa8b58bd361b82e52833f68e78/aiohttp-3.10.10-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:274cfa632350225ce3fdeb318c23b4a10ec25c0e2c880eff951a3842cf358ac1", size = 1228820 },
-    { url = "https://files.pythonhosted.org/packages/53/94/964d9327a3e336d89aad52260836e4ec87fdfa1207176550fdf384eaffe7/aiohttp-3.10.10-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:d9e5e4a85bdb56d224f412d9c98ae4cbd032cc4f3161818f692cd81766eee65a", size = 1264616 },
-    { url = "https://files.pythonhosted.org/packages/0c/20/70ce17764b685ca8f5bf4d568881b4e1f1f4ea5e8170f512fdb1a33859d2/aiohttp-3.10.10-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:2b606353da03edcc71130b52388d25f9a30a126e04caef1fd637e31683033abd", size = 1298402 },
-    { url = "https://files.pythonhosted.org/packages/d1/d1/5248225ccc687f498d06c3bca5af2647a361c3687a85eb3aedcc247ee1aa/aiohttp-3.10.10-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ab5a5a0c7a7991d90446a198689c0535be89bbd6b410a1f9a66688f0880ec026", size = 1222205 },
-    { url = "https://files.pythonhosted.org/packages/f2/a3/9296b27cc5d4feadf970a14d0694902a49a985f3fae71b8322a5f77b0baa/aiohttp-3.10.10-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:578a4b875af3e0daaf1ac6fa983d93e0bbfec3ead753b6d6f33d467100cdc67b", size = 1193804 },
-    { url = "https://files.pythonhosted.org/packages/d9/07/f3760160feb12ac51a6168a6da251a4a8f2a70733d49e6ceb9b3e6ee2f03/aiohttp-3.10.10-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:8105fd8a890df77b76dd3054cddf01a879fc13e8af576805d667e0fa0224c35d", size = 1193544 },
-    { url = "https://files.pythonhosted.org/packages/7e/4c/93a70f9a4ba1c30183a6dd68bfa79cddbf9a674f162f9c62e823a74a5515/aiohttp-3.10.10-cp310-cp310-musllinux_1_2_i686.whl", hash = "sha256:3bcd391d083f636c06a68715e69467963d1f9600f85ef556ea82e9ef25f043f7", size = 1193047 },
-    { url = "https://files.pythonhosted.org/packages/ff/a3/36a1e23ff00c7a0cd696c5a28db05db25dc42bfc78c508bd78623ff62a4a/aiohttp-3.10.10-cp310-cp310-musllinux_1_2_ppc64le.whl", hash = "sha256:fbc6264158392bad9df19537e872d476f7c57adf718944cc1e4495cbabf38e2a", size = 1247201 },
-    { url = "https://files.pythonhosted.org/packages/55/ae/95399848557b98bb2c402d640b2276ce3a542b94dba202de5a5a1fe29abe/aiohttp-3.10.10-cp310-cp310-musllinux_1_2_s390x.whl", hash = "sha256:e48d5021a84d341bcaf95c8460b152cfbad770d28e5fe14a768988c461b821bc", size = 1264102 },
-    { url = "https://files.pythonhosted.org/packages/38/f5/02e5c72c1b60d7cceb30b982679a26167e84ac029fd35a93dd4da52c50a3/aiohttp-3.10.10-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:2609e9ab08474702cc67b7702dbb8a80e392c54613ebe80db7e8dbdb79837c68", size = 1215760 },
-    { url = "https://files.pythonhosted.org/packages/30/17/1463840bad10d02d0439068f37ce5af0b383884b0d5838f46fb027e233bf/aiohttp-3.10.10-cp310-cp310-win32.whl", hash = "sha256:84afcdea18eda514c25bc68b9af2a2b1adea7c08899175a51fe7c4fb6d551257", size = 362678 },
-    { url = "https://files.pythonhosted.org/packages/dd/01/a0ef707d93e867a43abbffee3a2cdf30559910750b9176b891628c7ad074/aiohttp-3.10.10-cp310-cp310-win_amd64.whl", hash = "sha256:9c72109213eb9d3874f7ac8c0c5fa90e072d678e117d9061c06e30c85b4cf0e6", size = 381097 },
-    { url = "https://files.pythonhosted.org/packages/72/31/3c351d17596194e5a38ef169a4da76458952b2497b4b54645b9d483cbbb0/aiohttp-3.10.10-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:c30a0eafc89d28e7f959281b58198a9fa5e99405f716c0289b7892ca345fe45f", size = 586501 },
-    { url = "https://files.pythonhosted.org/packages/a4/a8/a559d09eb08478cdead6b7ce05b0c4a133ba27fcdfa91e05d2e62867300d/aiohttp-3.10.10-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:258c5dd01afc10015866114e210fb7365f0d02d9d059c3c3415382ab633fcbcb", size = 398993 },
-    { url = "https://files.pythonhosted.org/packages/c5/47/7736d4174613feef61d25332c3bd1a4f8ff5591fbd7331988238a7299485/aiohttp-3.10.10-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:15ecd889a709b0080f02721255b3f80bb261c2293d3c748151274dfea93ac871", size = 390647 },
-    { url = "https://files.pythonhosted.org/packages/27/21/e9ba192a04b7160f5a8952c98a1de7cf8072ad150fa3abd454ead1ab1d7f/aiohttp-3.10.10-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f3935f82f6f4a3820270842e90456ebad3af15810cf65932bd24da4463bc0a4c", size = 1306481 },
-    { url = "https://files.pythonhosted.org/packages/cf/50/f364c01c8d0def1dc34747b2470969e216f5a37c7ece00fe558810f37013/aiohttp-3.10.10-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:413251f6fcf552a33c981c4709a6bba37b12710982fec8e558ae944bfb2abd38", size = 1344652 },
-    { url = "https://files.pythonhosted.org/packages/1d/c2/74f608e984e9b585649e2e83883facad6fa3fc1d021de87b20cc67e8e5ae/aiohttp-3.10.10-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:d1720b4f14c78a3089562b8875b53e36b51c97c51adc53325a69b79b4b48ebcb", size = 1378498 },
-    { url = "https://files.pythonhosted.org/packages/9f/a7/05a48c7c0a7a80a5591b1203bf1b64ca2ed6a2050af918d09c05852dc42b/aiohttp-3.10.10-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:679abe5d3858b33c2cf74faec299fda60ea9de62916e8b67e625d65bf069a3b7", size = 1292718 },
-    { url = "https://files.pythonhosted.org/packages/7d/78/a925655018747e9790350180330032e27d6e0d7ed30bde545fae42f8c49c/aiohttp-3.10.10-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:79019094f87c9fb44f8d769e41dbb664d6e8fcfd62f665ccce36762deaa0e911", size = 1251776 },
-    { url = "https://files.pythonhosted.org/packages/47/9d/85c6b69f702351d1236594745a4fdc042fc43f494c247a98dac17e004026/aiohttp-3.10.10-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:fe2fb38c2ed905a2582948e2de560675e9dfbee94c6d5ccdb1301c6d0a5bf092", size = 1271716 },
-    { url = "https://files.pythonhosted.org/packages/7f/a7/55fc805ff9b14af818903882ece08e2235b12b73b867b521b92994c52b14/aiohttp-3.10.10-cp311-cp311-musllinux_1_2_i686.whl", hash = "sha256:a3f00003de6eba42d6e94fabb4125600d6e484846dbf90ea8e48a800430cc142", size = 1266263 },
-    { url = "https://files.pythonhosted.org/packages/1f/ec/d2be2ca7b063e4f91519d550dbc9c1cb43040174a322470deed90b3d3333/aiohttp-3.10.10-cp311-cp311-musllinux_1_2_ppc64le.whl", hash = "sha256:1bbb122c557a16fafc10354b9d99ebf2f2808a660d78202f10ba9d50786384b9", size = 1321617 },
-    { url = "https://files.pythonhosted.org/packages/c9/a3/b29f7920e1cd0a9a68a45dd3eb16140074d2efb1518d2e1f3e140357dc37/aiohttp-3.10.10-cp311-cp311-musllinux_1_2_s390x.whl", hash = "sha256:30ca7c3b94708a9d7ae76ff281b2f47d8eaf2579cd05971b5dc681db8caac6e1", size = 1339227 },
-    { url = "https://files.pythonhosted.org/packages/8a/81/34b67235c47e232d807b4bbc42ba9b927c7ce9476872372fddcfd1e41b3d/aiohttp-3.10.10-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:df9270660711670e68803107d55c2b5949c2e0f2e4896da176e1ecfc068b974a", size = 1299068 },
-    { url = "https://files.pythonhosted.org/packages/04/1f/26a7fe11b6ad3184f214733428353c89ae9fe3e4f605a657f5245c5e720c/aiohttp-3.10.10-cp311-cp311-win32.whl", hash = "sha256:aafc8ee9b742ce75044ae9a4d3e60e3d918d15a4c2e08a6c3c3e38fa59b92d94", size = 362223 },
-    { url = "https://files.pythonhosted.org/packages/10/91/85dcd93f64011434359ce2666bece981f08d31bc49df33261e625b28595d/aiohttp-3.10.10-cp311-cp311-win_amd64.whl", hash = "sha256:362f641f9071e5f3ee6f8e7d37d5ed0d95aae656adf4ef578313ee585b585959", size = 381576 },
-    { url = "https://files.pythonhosted.org/packages/ae/99/4c5aefe5ad06a1baf206aed6598c7cdcbc7c044c46801cd0d1ecb758cae3/aiohttp-3.10.10-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:9294bbb581f92770e6ed5c19559e1e99255e4ca604a22c5c6397b2f9dd3ee42c", size = 583536 },
-    { url = "https://files.pythonhosted.org/packages/a9/36/8b3bc49b49cb6d2da40ee61ff15dbcc44fd345a3e6ab5bb20844df929821/aiohttp-3.10.10-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:a8fa23fe62c436ccf23ff930149c047f060c7126eae3ccea005f0483f27b2e28", size = 395693 },
-    { url = "https://files.pythonhosted.org/packages/e1/77/0aa8660dcf11fa65d61712dbb458c4989de220a844bd69778dff25f2d50b/aiohttp-3.10.10-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:5c6a5b8c7926ba5d8545c7dd22961a107526562da31a7a32fa2456baf040939f", size = 390898 },
-    { url = "https://files.pythonhosted.org/packages/38/d2/b833d95deb48c75db85bf6646de0a697e7fb5d87bd27cbade4f9746b48b1/aiohttp-3.10.10-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:007ec22fbc573e5eb2fb7dec4198ef8f6bf2fe4ce20020798b2eb5d0abda6138", size = 1312060 },
-    { url = "https://files.pythonhosted.org/packages/aa/5f/29fd5113165a0893de8efedf9b4737e0ba92dfcd791415a528f947d10299/aiohttp-3.10.10-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:9627cc1a10c8c409b5822a92d57a77f383b554463d1884008e051c32ab1b3742", size = 1350553 },
-    { url = "https://files.pythonhosted.org/packages/ad/cc/f835f74b7d344428469200105236d44606cfa448be1e7c95ca52880d9bac/aiohttp-3.10.10-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:50edbcad60d8f0e3eccc68da67f37268b5144ecc34d59f27a02f9611c1d4eec7", size = 1392646 },
-    { url = "https://files.pythonhosted.org/packages/bf/fe/1332409d845ca601893bbf2d76935e0b93d41686e5f333841c7d7a4a770d/aiohttp-3.10.10-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a45d85cf20b5e0d0aa5a8dca27cce8eddef3292bc29d72dcad1641f4ed50aa16", size = 1306310 },
-    { url = "https://files.pythonhosted.org/packages/e4/a1/25a7633a5a513278a9892e333501e2e69c83e50be4b57a62285fb7a008c3/aiohttp-3.10.10-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:0b00807e2605f16e1e198f33a53ce3c4523114059b0c09c337209ae55e3823a8", size = 1260255 },
-    { url = "https://files.pythonhosted.org/packages/f2/39/30eafe89e0e2a06c25e4762844c8214c0c0cd0fd9ffc3471694a7986f421/aiohttp-3.10.10-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:f2d4324a98062be0525d16f768a03e0bbb3b9fe301ceee99611dc9a7953124e6", size = 1271141 },
-    { url = "https://files.pythonhosted.org/packages/5b/fc/33125df728b48391ef1fcb512dfb02072158cc10d041414fb79803463020/aiohttp-3.10.10-cp312-cp312-musllinux_1_2_i686.whl", hash = "sha256:438cd072f75bb6612f2aca29f8bd7cdf6e35e8f160bc312e49fbecab77c99e3a", size = 1280244 },
-    { url = "https://files.pythonhosted.org/packages/3b/61/e42bf2c2934b5caa4e2ec0b5e5fd86989adb022b5ee60c2572a9d77cf6fe/aiohttp-3.10.10-cp312-cp312-musllinux_1_2_ppc64le.whl", hash = "sha256:baa42524a82f75303f714108fea528ccacf0386af429b69fff141ffef1c534f9", size = 1316805 },
-    { url = "https://files.pythonhosted.org/packages/18/32/f52a5e2ae9ad3bba10e026a63a7a23abfa37c7d97aeeb9004eaa98df3ce3/aiohttp-3.10.10-cp312-cp312-musllinux_1_2_s390x.whl", hash = "sha256:a7d8d14fe962153fc681f6366bdec33d4356f98a3e3567782aac1b6e0e40109a", size = 1343930 },
-    { url = "https://files.pythonhosted.org/packages/05/be/6a403b464dcab3631fe8e27b0f1d906d9e45c5e92aca97ee007e5a895560/aiohttp-3.10.10-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:c1277cd707c465cd09572a774559a3cc7c7a28802eb3a2a9472588f062097205", size = 1306186 },
-    { url = "https://files.pythonhosted.org/packages/8e/fd/bb50fe781068a736a02bf5c7ad5f3ab53e39f1d1e63110da6d30f7605edc/aiohttp-3.10.10-cp312-cp312-win32.whl", hash = "sha256:59bb3c54aa420521dc4ce3cc2c3fe2ad82adf7b09403fa1f48ae45c0cbde6628", size = 359289 },
-    { url = "https://files.pythonhosted.org/packages/70/9e/5add7e240f77ef67c275c82cc1d08afbca57b77593118c1f6e920ae8ad3f/aiohttp-3.10.10-cp312-cp312-win_amd64.whl", hash = "sha256:0e1b370d8007c4ae31ee6db7f9a2fe801a42b146cec80a86766e7ad5c4a259cf", size = 379313 },
+    { url = "https://files.pythonhosted.org/packages/75/7d/ff2e314b8f9e0b1df833e2d4778eaf23eae6b8cc8f922495d110ddcbf9e1/aiohttp-3.11.11-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:a60804bff28662cbcf340a4d61598891f12eea3a66af48ecfdc975ceec21e3c8", size = 708550 },
+    { url = "https://files.pythonhosted.org/packages/09/b8/aeb4975d5bba233d6f246941f5957a5ad4e3def8b0855a72742e391925f2/aiohttp-3.11.11-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:4b4fa1cb5f270fb3eab079536b764ad740bb749ce69a94d4ec30ceee1b5940d5", size = 468430 },
+    { url = "https://files.pythonhosted.org/packages/9c/5b/5b620279b3df46e597008b09fa1e10027a39467387c2332657288e25811a/aiohttp-3.11.11-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:731468f555656767cda219ab42e033355fe48c85fbe3ba83a349631541715ba2", size = 455593 },
+    { url = "https://files.pythonhosted.org/packages/d8/75/0cdf014b816867d86c0bc26f3d3e3f194198dbf33037890beed629cd4f8f/aiohttp-3.11.11-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:cb23d8bb86282b342481cad4370ea0853a39e4a32a0042bb52ca6bdde132df43", size = 1584635 },
+    { url = "https://files.pythonhosted.org/packages/df/2f/95b8f4e4dfeb57c1d9ad9fa911ede35a0249d75aa339edd2c2270dc539da/aiohttp-3.11.11-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:f047569d655f81cb70ea5be942ee5d4421b6219c3f05d131f64088c73bb0917f", size = 1632363 },
+    { url = "https://files.pythonhosted.org/packages/39/cb/70cf69ea7c50f5b0021a84f4c59c3622b2b3b81695f48a2f0e42ef7eba6e/aiohttp-3.11.11-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:dd7659baae9ccf94ae5fe8bfaa2c7bc2e94d24611528395ce88d009107e00c6d", size = 1668315 },
+    { url = "https://files.pythonhosted.org/packages/2f/cc/3a3fc7a290eabc59839a7e15289cd48f33dd9337d06e301064e1e7fb26c5/aiohttp-3.11.11-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:af01e42ad87ae24932138f154105e88da13ce7d202a6de93fafdafb2883a00ef", size = 1589546 },
+    { url = "https://files.pythonhosted.org/packages/15/b4/0f7b0ed41ac6000e283e7332f0f608d734b675a8509763ca78e93714cfb0/aiohttp-3.11.11-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:5854be2f3e5a729800bac57a8d76af464e160f19676ab6aea74bde18ad19d438", size = 1544581 },
+    { url = "https://files.pythonhosted.org/packages/58/b9/4d06470fd85c687b6b0e31935ef73dde6e31767c9576d617309a2206556f/aiohttp-3.11.11-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:6526e5fb4e14f4bbf30411216780c9967c20c5a55f2f51d3abd6de68320cc2f3", size = 1529256 },
+    { url = "https://files.pythonhosted.org/packages/61/a2/6958b1b880fc017fd35f5dfb2c26a9a50c755b75fd9ae001dc2236a4fb79/aiohttp-3.11.11-cp310-cp310-musllinux_1_2_i686.whl", hash = "sha256:85992ee30a31835fc482468637b3e5bd085fa8fe9392ba0bdcbdc1ef5e9e3c55", size = 1536592 },
+    { url = "https://files.pythonhosted.org/packages/0f/dd/b974012a9551fd654f5bb95a6dd3f03d6e6472a17e1a8216dd42e9638d6c/aiohttp-3.11.11-cp310-cp310-musllinux_1_2_ppc64le.whl", hash = "sha256:88a12ad8ccf325a8a5ed80e6d7c3bdc247d66175afedbe104ee2aaca72960d8e", size = 1607446 },
+    { url = "https://files.pythonhosted.org/packages/e0/d3/6c98fd87e638e51f074a3f2061e81fcb92123bcaf1439ac1b4a896446e40/aiohttp-3.11.11-cp310-cp310-musllinux_1_2_s390x.whl", hash = "sha256:0a6d3fbf2232e3a08c41eca81ae4f1dff3d8f1a30bae415ebe0af2d2458b8a33", size = 1628809 },
+    { url = "https://files.pythonhosted.org/packages/a8/2e/86e6f85cbca02be042c268c3d93e7f35977a0e127de56e319bdd1569eaa8/aiohttp-3.11.11-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:84a585799c58b795573c7fa9b84c455adf3e1d72f19a2bf498b54a95ae0d194c", size = 1564291 },
+    { url = "https://files.pythonhosted.org/packages/0b/8d/1f4ef3503b767717f65e1f5178b0173ab03cba1a19997ebf7b052161189f/aiohttp-3.11.11-cp310-cp310-win32.whl", hash = "sha256:bfde76a8f430cf5c5584553adf9926534352251d379dcb266ad2b93c54a29745", size = 416601 },
+    { url = "https://files.pythonhosted.org/packages/ad/86/81cb83691b5ace3d9aa148dc42bacc3450d749fc88c5ec1973573c1c1779/aiohttp-3.11.11-cp310-cp310-win_amd64.whl", hash = "sha256:0fd82b8e9c383af11d2b26f27a478640b6b83d669440c0a71481f7c865a51da9", size = 442007 },
+    { url = "https://files.pythonhosted.org/packages/34/ae/e8806a9f054e15f1d18b04db75c23ec38ec954a10c0a68d3bd275d7e8be3/aiohttp-3.11.11-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:ba74ec819177af1ef7f59063c6d35a214a8fde6f987f7661f4f0eecc468a8f76", size = 708624 },
+    { url = "https://files.pythonhosted.org/packages/c7/e0/313ef1a333fb4d58d0c55a6acb3cd772f5d7756604b455181049e222c020/aiohttp-3.11.11-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:4af57160800b7a815f3fe0eba9b46bf28aafc195555f1824555fa2cfab6c1538", size = 468507 },
+    { url = "https://files.pythonhosted.org/packages/a9/60/03455476bf1f467e5b4a32a465c450548b2ce724eec39d69f737191f936a/aiohttp-3.11.11-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:ffa336210cf9cd8ed117011085817d00abe4c08f99968deef0013ea283547204", size = 455571 },
+    { url = "https://files.pythonhosted.org/packages/be/f9/469588603bd75bf02c8ffb8c8a0d4b217eed446b49d4a767684685aa33fd/aiohttp-3.11.11-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:81b8fe282183e4a3c7a1b72f5ade1094ed1c6345a8f153506d114af5bf8accd9", size = 1685694 },
+    { url = "https://files.pythonhosted.org/packages/88/b9/1b7fa43faf6c8616fa94c568dc1309ffee2b6b68b04ac268e5d64b738688/aiohttp-3.11.11-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:3af41686ccec6a0f2bdc66686dc0f403c41ac2089f80e2214a0f82d001052c03", size = 1743660 },
+    { url = "https://files.pythonhosted.org/packages/2a/8b/0248d19dbb16b67222e75f6aecedd014656225733157e5afaf6a6a07e2e8/aiohttp-3.11.11-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:70d1f9dde0e5dd9e292a6d4d00058737052b01f3532f69c0c65818dac26dc287", size = 1785421 },
+    { url = "https://files.pythonhosted.org/packages/c4/11/f478e071815a46ca0a5ae974651ff0c7a35898c55063305a896e58aa1247/aiohttp-3.11.11-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:249cc6912405917344192b9f9ea5cd5b139d49e0d2f5c7f70bdfaf6b4dbf3a2e", size = 1675145 },
+    { url = "https://files.pythonhosted.org/packages/26/5d/284d182fecbb5075ae10153ff7374f57314c93a8681666600e3a9e09c505/aiohttp-3.11.11-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:0eb98d90b6690827dcc84c246811feeb4e1eea683c0eac6caed7549be9c84665", size = 1619804 },
+    { url = "https://files.pythonhosted.org/packages/1b/78/980064c2ad685c64ce0e8aeeb7ef1e53f43c5b005edcd7d32e60809c4992/aiohttp-3.11.11-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:ec82bf1fda6cecce7f7b915f9196601a1bd1a3079796b76d16ae4cce6d0ef89b", size = 1654007 },
+    { url = "https://files.pythonhosted.org/packages/21/8d/9e658d63b1438ad42b96f94da227f2e2c1d5c6001c9e8ffcc0bfb22e9105/aiohttp-3.11.11-cp311-cp311-musllinux_1_2_i686.whl", hash = "sha256:9fd46ce0845cfe28f108888b3ab17abff84ff695e01e73657eec3f96d72eef34", size = 1650022 },
+    { url = "https://files.pythonhosted.org/packages/85/fd/a032bf7f2755c2df4f87f9effa34ccc1ef5cea465377dbaeef93bb56bbd6/aiohttp-3.11.11-cp311-cp311-musllinux_1_2_ppc64le.whl", hash = "sha256:bd176afcf8f5d2aed50c3647d4925d0db0579d96f75a31e77cbaf67d8a87742d", size = 1732899 },
+    { url = "https://files.pythonhosted.org/packages/c5/0c/c2b85fde167dd440c7ba50af2aac20b5a5666392b174df54c00f888c5a75/aiohttp-3.11.11-cp311-cp311-musllinux_1_2_s390x.whl", hash = "sha256:ec2aa89305006fba9ffb98970db6c8221541be7bee4c1d027421d6f6df7d1ce2", size = 1755142 },
+    { url = "https://files.pythonhosted.org/packages/bc/78/91ae1a3b3b3bed8b893c5d69c07023e151b1c95d79544ad04cf68f596c2f/aiohttp-3.11.11-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:92cde43018a2e17d48bb09c79e4d4cb0e236de5063ce897a5e40ac7cb4878773", size = 1692736 },
+    { url = "https://files.pythonhosted.org/packages/77/89/a7ef9c4b4cdb546fcc650ca7f7395aaffbd267f0e1f648a436bec33c9b95/aiohttp-3.11.11-cp311-cp311-win32.whl", hash = "sha256:aba807f9569455cba566882c8938f1a549f205ee43c27b126e5450dc9f83cc62", size = 416418 },
+    { url = "https://files.pythonhosted.org/packages/fc/db/2192489a8a51b52e06627506f8ac8df69ee221de88ab9bdea77aa793aa6a/aiohttp-3.11.11-cp311-cp311-win_amd64.whl", hash = "sha256:ae545f31489548c87b0cced5755cfe5a5308d00407000e72c4fa30b19c3220ac", size = 442509 },
+    { url = "https://files.pythonhosted.org/packages/69/cf/4bda538c502f9738d6b95ada11603c05ec260807246e15e869fc3ec5de97/aiohttp-3.11.11-cp312-cp312-macosx_10_13_universal2.whl", hash = "sha256:e595c591a48bbc295ebf47cb91aebf9bd32f3ff76749ecf282ea7f9f6bb73886", size = 704666 },
+    { url = "https://files.pythonhosted.org/packages/46/7b/87fcef2cad2fad420ca77bef981e815df6904047d0a1bd6aeded1b0d1d66/aiohttp-3.11.11-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:3ea1b59dc06396b0b424740a10a0a63974c725b1c64736ff788a3689d36c02d2", size = 464057 },
+    { url = "https://files.pythonhosted.org/packages/5a/a6/789e1f17a1b6f4a38939fbc39d29e1d960d5f89f73d0629a939410171bc0/aiohttp-3.11.11-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:8811f3f098a78ffa16e0ea36dffd577eb031aea797cbdba81be039a4169e242c", size = 455996 },
+    { url = "https://files.pythonhosted.org/packages/b7/dd/485061fbfef33165ce7320db36e530cd7116ee1098e9c3774d15a732b3fd/aiohttp-3.11.11-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:bd7227b87a355ce1f4bf83bfae4399b1f5bb42e0259cb9405824bd03d2f4336a", size = 1682367 },
+    { url = "https://files.pythonhosted.org/packages/e9/d7/9ec5b3ea9ae215c311d88b2093e8da17e67b8856673e4166c994e117ee3e/aiohttp-3.11.11-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:d40f9da8cabbf295d3a9dae1295c69975b86d941bc20f0a087f0477fa0a66231", size = 1736989 },
+    { url = "https://files.pythonhosted.org/packages/d6/fb/ea94927f7bfe1d86178c9d3e0a8c54f651a0a655214cce930b3c679b8f64/aiohttp-3.11.11-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:ffb3dc385f6bb1568aa974fe65da84723210e5d9707e360e9ecb51f59406cd2e", size = 1793265 },
+    { url = "https://files.pythonhosted.org/packages/40/7f/6de218084f9b653026bd7063cd8045123a7ba90c25176465f266976d8c82/aiohttp-3.11.11-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a8f5f7515f3552d899c61202d99dcb17d6e3b0de777900405611cd747cecd1b8", size = 1691841 },
+    { url = "https://files.pythonhosted.org/packages/77/e2/992f43d87831cbddb6b09c57ab55499332f60ad6fdbf438ff4419c2925fc/aiohttp-3.11.11-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:3499c7ffbfd9c6a3d8d6a2b01c26639da7e43d47c7b4f788016226b1e711caa8", size = 1619317 },
+    { url = "https://files.pythonhosted.org/packages/96/74/879b23cdd816db4133325a201287c95bef4ce669acde37f8f1b8669e1755/aiohttp-3.11.11-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:8e2bf8029dbf0810c7bfbc3e594b51c4cc9101fbffb583a3923aea184724203c", size = 1641416 },
+    { url = "https://files.pythonhosted.org/packages/30/98/b123f6b15d87c54e58fd7ae3558ff594f898d7f30a90899718f3215ad328/aiohttp-3.11.11-cp312-cp312-musllinux_1_2_i686.whl", hash = "sha256:b6212a60e5c482ef90f2d788835387070a88d52cf6241d3916733c9176d39eab", size = 1646514 },
+    { url = "https://files.pythonhosted.org/packages/d7/38/257fda3dc99d6978ab943141d5165ec74fd4b4164baa15e9c66fa21da86b/aiohttp-3.11.11-cp312-cp312-musllinux_1_2_ppc64le.whl", hash = "sha256:d119fafe7b634dbfa25a8c597718e69a930e4847f0b88e172744be24515140da", size = 1702095 },
+    { url = "https://files.pythonhosted.org/packages/0c/f4/ddab089053f9fb96654df5505c0a69bde093214b3c3454f6bfdb1845f558/aiohttp-3.11.11-cp312-cp312-musllinux_1_2_s390x.whl", hash = "sha256:6fba278063559acc730abf49845d0e9a9e1ba74f85f0ee6efd5803f08b285853", size = 1734611 },
+    { url = "https://files.pythonhosted.org/packages/c3/d6/f30b2bc520c38c8aa4657ed953186e535ae84abe55c08d0f70acd72ff577/aiohttp-3.11.11-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:92fc484e34b733704ad77210c7957679c5c3877bd1e6b6d74b185e9320cc716e", size = 1694576 },
+    { url = "https://files.pythonhosted.org/packages/bc/97/b0a88c3f4c6d0020b34045ee6d954058abc870814f6e310c4c9b74254116/aiohttp-3.11.11-cp312-cp312-win32.whl", hash = "sha256:9f5b3c1ed63c8fa937a920b6c1bec78b74ee09593b3f5b979ab2ae5ef60d7600", size = 411363 },
+    { url = "https://files.pythonhosted.org/packages/7f/23/cc36d9c398980acaeeb443100f0216f50a7cfe20c67a9fd0a2f1a5a846de/aiohttp-3.11.11-cp312-cp312-win_amd64.whl", hash = "sha256:1e69966ea6ef0c14ee53ef7a3d68b564cc408121ea56c0caa2dc918c1b2f553d", size = 437666 },
 ]

 [[package]]
@@ -211,6 +244,18 @@ wheels = [
    { url = "https://files.pythonhosted.org/packages/e4/0e/38cb7b781371e79e9c697fb78f3ccd18fda8bd547d0a2e76e616561a3792/auth0_python-4.7.2-py3-none-any.whl", hash = "sha256:df2224f9b1e170b3aa12d8bc7ff02eadb7cc229307a09ec6b8a55fd1e0e05dc8", size = 131834 },
 ]

+[[package]]
+name = "authlib"
+version = "1.3.1"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "cryptography" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/09/47/df70ecd34fbf86d69833fe4e25bb9ecbaab995c8e49df726dd416f6bb822/authlib-1.3.1.tar.gz", hash = "sha256:7ae843f03c06c5c0debd63c9db91f9fda64fa62a42a77419fa15fbb7e7a58917", size = 146074 }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/87/1f/bc95e43ffb57c05b8efcc376dd55a0240bf58f47ddf5a0f92452b6457b75/Authlib-1.3.1-py2.py3-none-any.whl", hash = "sha256:d35800b973099bbadc49b42b256ecb80041ad56b7fe1216a362c7943c088f377", size = 223827 },
+]
+
 [[package]]
 name = "autoflake"
 version = "2.3.1"
@@ -586,7 +631,7 @@ wheels = [

 [[package]]
 name = "crewai"
-version = "0.86.0"
+version = "0.95.0"
 source = { editable = "." }
 dependencies = [
    { name = "appdirs" },
@@ -620,6 +665,9 @@ agentops = [
 docling = [
    { name = "docling" },
 ]
+embeddings = [
+    { name = "tiktoken" },
+]
 fastembed = [
    { name = "fastembed" },
 ]
@@ -642,7 +690,6 @@ tools = [
 [package.dev-dependencies]
 dev = [
    { name = "cairosvg" },
-    { name = "crewai-tools" },
    { name = "mkdocs" },
    { name = "mkdocs-material" },
    { name = "mkdocs-material-extensions" },
@@ -667,7 +714,7 @@ requires-dist = [
    { name = "blinker", specifier = ">=1.9.0" },
    { name = "chromadb", specifier = ">=0.5.23" },
    { name = "click", specifier = ">=8.1.7" },
-    { name = "crewai-tools", marker = "extra == 'tools'", specifier = ">=0.17.0" },
+    { name = "crewai-tools", marker = "extra == 'tools'", specifier = ">=0.25.5" },
    { name = "docling", marker = "extra == 'docling'", specifier = ">=2.12.0" },
    { name = "fastembed", marker = "extra == 'fastembed'", specifier = ">=0.4.1" },
    { name = "instructor", specifier = ">=1.3.3" },
@@ -688,6 +735,7 @@ requires-dist = [
    { name = "python-dotenv", specifier = ">=1.0.0" },
    { name = "pyvis", specifier = ">=0.3.2" },
    { name = "regex", specifier = ">=2024.9.11" },
+    { name = "tiktoken", marker = "extra == 'embeddings'", specifier = "~=0.7.0" },
    { name = "tomli", specifier = ">=2.0.2" },
    { name = "tomli-w", specifier = ">=1.1.0" },
    { name = "uv", specifier = ">=0.4.25" },
@@ -696,7 +744,6 @@ requires-dist = [
 [package.metadata.requires-dev]
 dev = [
    { name = "cairosvg", specifier = ">=2.7.1" },
-    { name = "crewai-tools", specifier = ">=0.17.0" },
    { name = "mkdocs", specifier = ">=1.4.3" },
    { name = "mkdocs-material", specifier = ">=9.5.7" },
    { name = "mkdocs-material-extensions", specifier = ">=1.3.1" },
@@ -715,26 +762,32 @@ dev = [

 [[package]]
 name = "crewai-tools"
-version = "0.17.0"
+version = "0.25.6"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
    { name = "beautifulsoup4" },
    { name = "chromadb" },
+    { name = "crewai" },
    { name = "docker" },
    { name = "docx2txt" },
    { name = "embedchain" },
    { name = "lancedb" },
+    { name = "linkup-sdk" },
    { name = "openai" },
    { name = "pydantic" },
    { name = "pyright" },
    { name = "pytest" },
    { name = "pytube" },
    { name = "requests" },
+    { name = "scrapegraph-py" },
    { name = "selenium" },
+    { name = "serpapi" },
+    { name = "spider-client" },
+    { name = "weaviate-client" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/cc/15/365f74e0e8313e7a3399bf01d908aa73575c823275f9196ec14c23159878/crewai_tools-0.17.0.tar.gz", hash = "sha256:2a2986000775c76bad45b9f3a2be857d293cf5daffe5f316abc052e630b1e5ce", size = 818983 }
+sdist = { url = "https://files.pythonhosted.org/packages/23/2f/fbfd0dc8912d375a2d1272c503f79c83c25f3d2b4b72c230b0672278a1bd/crewai_tools-0.25.6.tar.gz", hash = "sha256:442a7e7e579cb3c671a53c5b7afce645cd31d2db913ecc6d1e22a4c5e1baa840", size = 883175 }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/f4/1d/976adc2a4e5237cb03625de412cd051dea7d524084ed442adedfda871526/crewai_tools-0.17.0-py3-none-any.whl", hash = "sha256:85cf15286684ecad579b5a497888c6bf8a079ca443f7dd63a52bf1709655e4a3", size = 467975 },
+    { url = "https://files.pythonhosted.org/packages/ce/21/561a81b4f8cfcc2ac6a0c3db3ec86b70a7db6dabb0dd7d13c96be981b2fc/crewai_tools-0.25.6-py3-none-any.whl", hash = "sha256:463e0ee8d780ab7a801992e3960471fb8e64d038866429f70995ddd0a83e0679", size = 514758 },
 ]

 [[package]]
@@ -1572,6 +1625,19 @@ wheels = [
    { url = "https://files.pythonhosted.org/packages/1d/1f/acf03ee901313446d52c3916d527d4981de9f6f3edc69267d05509dcfa7b/grpcio-1.67.0-cp312-cp312-win_amd64.whl", hash = "sha256:985b2686f786f3e20326c4367eebdaed3e7aa65848260ff0c6644f817042cb15", size = 4343545 },
 ]

+[[package]]
+name = "grpcio-health-checking"
+version = "1.62.3"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "grpcio" },
+    { name = "protobuf" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/eb/9f/09df9b02fc8eafa3031d878c8a4674a0311293c8c6f1c942cdaeec204126/grpcio-health-checking-1.62.3.tar.gz", hash = "sha256:5074ba0ce8f0dcfe328408ec5c7551b2a835720ffd9b69dade7fa3e0dc1c7a93", size = 15640 }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/40/4c/ee3173906196b741ac6ba55a9788ba9ebf2cd05f91715a49b6c3bfbb9d73/grpcio_health_checking-1.62.3-py3-none-any.whl", hash = "sha256:f29da7dd144d73b4465fe48f011a91453e9ff6c8af0d449254cf80021cab3e0d", size = 18547 },
+]
+
 [[package]]
 name = "grpcio-status"
 version = "1.62.3"
@@ -1698,7 +1764,7 @@ wheels = [

 [[package]]
 name = "httpx"
-version = "0.27.2"
+version = "0.27.0"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
    { name = "anyio" },
@@ -1707,9 +1773,9 @@ dependencies = [
    { name = "idna" },
    { name = "sniffio" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/78/82/08f8c936781f67d9e6b9eeb8a0c8b4e406136ea4c3d1f89a5db71d42e0e6/httpx-0.27.2.tar.gz", hash = "sha256:f7c2be1d2f3c3c3160d441802406b206c2b76f5947b11115e6df10c6c65e66c2", size = 144189 }
+sdist = { url = "https://files.pythonhosted.org/packages/5c/2d/3da5bdf4408b8b2800061c339f240c1802f2e82d55e50bd39c5a881f47f0/httpx-0.27.0.tar.gz", hash = "sha256:a0cb88a46f32dc874e04ee956e4c2764aba2aa228f650b06788ba6bda2962ab5", size = 126413 }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/56/95/9377bcb415797e44274b51d46e3249eba641711cf3348050f76ee7b15ffc/httpx-0.27.2-py3-none-any.whl", hash = "sha256:7bb2708e112d8fdd7829cd4243970f0c223274051cb35ee80c03301ee29a3df0", size = 76395 },
+    { url = "https://files.pythonhosted.org/packages/41/7b/ddacf6dcebb42466abd03f368782142baa82e08fc0c1f8eaa05b4bae87d5/httpx-0.27.0-py3-none-any.whl", hash = "sha256:71d5465162c13681bff01ad59b2cc68dd838ea1f10e51574bac27103f00c91a5", size = 75590 },
 ]

 [package.optional-dependencies]
@@ -1783,6 +1849,52 @@ wheels = [
    { url = "https://files.pythonhosted.org/packages/76/c6/c88e154df9c4e1a2a66ccf0005a88dfb2650c1dffb6f5ce603dfbd452ce3/idna-3.10-py3-none-any.whl", hash = "sha256:946d195a0d259cbba61165e88e65941f16e9b36ea6ddb97f00452bae8b1287d3", size = 70442 },
 ]

+[[package]]
+name = "ijson"
+version = "3.3.0"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/6c/83/28e9e93a3a61913e334e3a2e78ea9924bb9f9b1ac45898977f9d9dd6133f/ijson-3.3.0.tar.gz", hash = "sha256:7f172e6ba1bee0d4c8f8ebd639577bfe429dee0f3f96775a067b8bae4492d8a0", size = 60079 }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/ad/89/96e3608499b4a500b9bc27aa8242704e675849dd65bdfa8682b00a92477e/ijson-3.3.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:7f7a5250599c366369fbf3bc4e176f5daa28eb6bc7d6130d02462ed335361675", size = 85009 },
+    { url = "https://files.pythonhosted.org/packages/e4/7e/1098503500f5316c5f7912a51c91aca5cbc609c09ce4ecd9c4809983c560/ijson-3.3.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:f87a7e52f79059f9c58f6886c262061065eb6f7554a587be7ed3aa63e6b71b34", size = 57796 },
+    { url = "https://files.pythonhosted.org/packages/78/f7/27b8c27a285628719ff55b68507581c86b551eb162ce810fe51e3e1a25f2/ijson-3.3.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:b73b493af9e947caed75d329676b1b801d673b17481962823a3e55fe529c8b8b", size = 57218 },
+    { url = "https://files.pythonhosted.org/packages/0c/c5/1698094cb6a336a223c30e1167cc1b15cdb4bfa75399c1a2eb82fa76cc3c/ijson-3.3.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d5576415f3d76290b160aa093ff968f8bf6de7d681e16e463a0134106b506f49", size = 117153 },
+    { url = "https://files.pythonhosted.org/packages/4b/21/c206dda0945bd832cc9b0894596b0efc2cb1819a0ac61d8be1429ac09494/ijson-3.3.0-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:4e9ffe358d5fdd6b878a8a364e96e15ca7ca57b92a48f588378cef315a8b019e", size = 110781 },
+    { url = "https://files.pythonhosted.org/packages/f4/f5/2d733e64577109a9b255d14d031e44a801fa20df9ccc58b54a31e8ecf9e6/ijson-3.3.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8643c255a25824ddd0895c59f2319c019e13e949dc37162f876c41a283361527", size = 114527 },
+    { url = "https://files.pythonhosted.org/packages/8d/a8/78bfee312aa23417b86189a65f30b0edbceaee96dc6a616cc15f611187d1/ijson-3.3.0-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:df3ab5e078cab19f7eaeef1d5f063103e1ebf8c26d059767b26a6a0ad8b250a3", size = 116824 },
+    { url = "https://files.pythonhosted.org/packages/5d/a4/aff410f7d6aa1a77ee2ab2d6a2d2758422726270cb149c908a9baf33cf58/ijson-3.3.0-cp310-cp310-musllinux_1_2_i686.whl", hash = "sha256:3dc1fb02c6ed0bae1b4bf96971258bf88aea72051b6e4cebae97cff7090c0607", size = 112647 },
+    { url = "https://files.pythonhosted.org/packages/77/ee/2b5122dc4713f5a954267147da36e7156240ca21b04ed5295bc0cabf0fbe/ijson-3.3.0-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:e9afd97339fc5a20f0542c971f90f3ca97e73d3050cdc488d540b63fae45329a", size = 114156 },
+    { url = "https://files.pythonhosted.org/packages/b3/d7/ad3b266490b60c6939e8a07fd8e4b7e2002aea08eaa9572a016c3e3a9129/ijson-3.3.0-cp310-cp310-win32.whl", hash = "sha256:844c0d1c04c40fd1b60f148dc829d3f69b2de789d0ba239c35136efe9a386529", size = 48931 },
+    { url = "https://files.pythonhosted.org/packages/0b/68/b9e1c743274c8a23dddb12d2ed13b5f021f6d21669d51ff7fa2e9e6c19df/ijson-3.3.0-cp310-cp310-win_amd64.whl", hash = "sha256:d654d045adafdcc6c100e8e911508a2eedbd2a1b5f93f930ba13ea67d7704ee9", size = 50965 },
+    { url = "https://files.pythonhosted.org/packages/fd/df/565ba72a6f4b2c833d051af8e2228cfa0b1fef17bb44995c00ad27470c52/ijson-3.3.0-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:501dce8eaa537e728aa35810656aa00460a2547dcb60937c8139f36ec344d7fc", size = 85041 },
+    { url = "https://files.pythonhosted.org/packages/f0/42/1361eaa57ece921d0239881bae6a5e102333be5b6e0102a05ec3caadbd5a/ijson-3.3.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:658ba9cad0374d37b38c9893f4864f284cdcc7d32041f9808fba8c7bcaadf134", size = 57829 },
+    { url = "https://files.pythonhosted.org/packages/f5/b0/143dbfe12e1d1303ea8d8cd6f40e95cea8f03bcad5b79708614a7856c22e/ijson-3.3.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:2636cb8c0f1023ef16173f4b9a233bcdb1df11c400c603d5f299fac143ca8d70", size = 57217 },
+    { url = "https://files.pythonhosted.org/packages/0d/80/b3b60c5e5be2839365b03b915718ca462c544fdc71e7a79b7262837995ef/ijson-3.3.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:cd174b90db68c3bcca273e9391934a25d76929d727dc75224bf244446b28b03b", size = 121878 },
+    { url = "https://files.pythonhosted.org/packages/8d/eb/7560fafa4d40412efddf690cb65a9bf2d3429d6035e544103acbf5561dc4/ijson-3.3.0-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:97a9aea46e2a8371c4cf5386d881de833ed782901ac9f67ebcb63bb3b7d115af", size = 115620 },
+    { url = "https://files.pythonhosted.org/packages/51/2b/5a34c7841388dce161966e5286931518de832067cd83e6f003d93271e324/ijson-3.3.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c594c0abe69d9d6099f4ece17763d53072f65ba60b372d8ba6de8695ce6ee39e", size = 119200 },
+    { url = "https://files.pythonhosted.org/packages/3e/b7/1d64fbec0d0a7b0c02e9ad988a89614532028ead8bb52a2456c92e6ee35a/ijson-3.3.0-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:8e0ff16c224d9bfe4e9e6bd0395826096cda4a3ef51e6c301e1b61007ee2bd24", size = 121107 },
+    { url = "https://files.pythonhosted.org/packages/d4/b9/01044f09850bc545ffc85b35aaec473d4f4ca2b6667299033d252c1b60dd/ijson-3.3.0-cp311-cp311-musllinux_1_2_i686.whl", hash = "sha256:0015354011303175eae7e2ef5136414e91de2298e5a2e9580ed100b728c07e51", size = 116658 },
+    { url = "https://files.pythonhosted.org/packages/fb/0d/53856b61f3d952d299d1695c487e8e28058d01fa2adfba3d6d4b4660c242/ijson-3.3.0-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:034642558afa57351a0ffe6de89e63907c4cf6849070cc10a3b2542dccda1afe", size = 118186 },
+    { url = "https://files.pythonhosted.org/packages/95/2d/5bd86e2307dd594840ee51c4e32de953fee837f028acf0f6afb08914cd06/ijson-3.3.0-cp311-cp311-win32.whl", hash = "sha256:192e4b65495978b0bce0c78e859d14772e841724d3269fc1667dc6d2f53cc0ea", size = 48938 },
+    { url = "https://files.pythonhosted.org/packages/55/e1/4ba2b65b87f67fb19d698984d92635e46d9ce9dd748ce7d009441a586710/ijson-3.3.0-cp311-cp311-win_amd64.whl", hash = "sha256:72e3488453754bdb45c878e31ce557ea87e1eb0f8b4fc610373da35e8074ce42", size = 50972 },
+    { url = "https://files.pythonhosted.org/packages/8a/4d/3992f7383e26a950e02dc704bc6c5786a080d5c25fe0fc5543ef477c1883/ijson-3.3.0-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:988e959f2f3d59ebd9c2962ae71b97c0df58323910d0b368cc190ad07429d1bb", size = 84550 },
+    { url = "https://files.pythonhosted.org/packages/1b/cc/3d4372e0d0b02a821b982f1fdf10385512dae9b9443c1597719dd37769a9/ijson-3.3.0-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:b2f73f0d0fce5300f23a1383d19b44d103bb113b57a69c36fd95b7c03099b181", size = 57572 },
+    { url = "https://files.pythonhosted.org/packages/02/de/970d48b1ff9da5d9513c86fdd2acef5cb3415541c8069e0d92a151b84adb/ijson-3.3.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:0ee57a28c6bf523d7cb0513096e4eb4dac16cd935695049de7608ec110c2b751", size = 56902 },
+    { url = "https://files.pythonhosted.org/packages/5e/a0/4537722c8b3b05e82c23dfe09a3a64dd1e44a013a5ca58b1e77dfe48b2f1/ijson-3.3.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e0155a8f079c688c2ccaea05de1ad69877995c547ba3d3612c1c336edc12a3a5", size = 127400 },
+    { url = "https://files.pythonhosted.org/packages/b2/96/54956062a99cf49f7a7064b573dcd756da0563ce57910dc34e27a473d9b9/ijson-3.3.0-cp312-cp312-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:7ab00721304af1ae1afa4313ecfa1bf16b07f55ef91e4a5b93aeaa3e2bd7917c", size = 118786 },
+    { url = "https://files.pythonhosted.org/packages/07/74/795319531c5b5504508f595e631d592957f24bed7ff51a15bc4c61e7b24c/ijson-3.3.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:40ee3821ee90be0f0e95dcf9862d786a7439bd1113e370736bfdf197e9765bfb", size = 126288 },
+    { url = "https://files.pythonhosted.org/packages/69/6a/e0cec06fbd98851d5d233b59058c1dc2ea767c9bb6feca41aa9164fff769/ijson-3.3.0-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:da3b6987a0bc3e6d0f721b42c7a0198ef897ae50579547b0345f7f02486898f5", size = 129569 },
+    { url = "https://files.pythonhosted.org/packages/2a/4f/82c0d896d8dcb175f99ced7d87705057bcd13523998b48a629b90139a0dc/ijson-3.3.0-cp312-cp312-musllinux_1_2_i686.whl", hash = "sha256:63afea5f2d50d931feb20dcc50954e23cef4127606cc0ecf7a27128ed9f9a9e6", size = 121508 },
+    { url = "https://files.pythonhosted.org/packages/2b/b6/8973474eba4a917885e289d9e138267d3d1f052c2d93b8c968755661a42d/ijson-3.3.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:b5c3e285e0735fd8c5a26d177eca8b52512cdd8687ca86ec77a0c66e9c510182", size = 127896 },
+    { url = "https://files.pythonhosted.org/packages/94/25/00e66af887adbbe70002e0479c3c2340bdfa17a168e25d4ab5a27b53582d/ijson-3.3.0-cp312-cp312-win32.whl", hash = "sha256:907f3a8674e489abdcb0206723e5560a5cb1fa42470dcc637942d7b10f28b695", size = 49272 },
+    { url = "https://files.pythonhosted.org/packages/25/a2/e187beee237808b2c417109ae0f4f7ee7c81ecbe9706305d6ac2a509cc45/ijson-3.3.0-cp312-cp312-win_amd64.whl", hash = "sha256:8f890d04ad33262d0c77ead53c85f13abfb82f2c8f078dfbf24b78f59534dfdd", size = 51272 },
+    { url = "https://files.pythonhosted.org/packages/c3/28/2e1cf00abe5d97aef074e7835b86a94c9a06be4629a0e2c12600792b51ba/ijson-3.3.0-pp310-pypy310_pp73-macosx_10_9_x86_64.whl", hash = "sha256:2af323a8aec8a50fa9effa6d640691a30a9f8c4925bd5364a1ca97f1ac6b9b5c", size = 54308 },
+    { url = "https://files.pythonhosted.org/packages/04/d2/8c541c28da4f931bac8177e251efe2b6902f7c486d2d4bdd669eed4ff5c0/ijson-3.3.0-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f64f01795119880023ba3ce43072283a393f0b90f52b66cc0ea1a89aa64a9ccb", size = 66010 },
+    { url = "https://files.pythonhosted.org/packages/d0/02/8fec0b9037a368811dba7901035e8e0973ebda308f57f30c42101a16a5f7/ijson-3.3.0-pp310-pypy310_pp73-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:a716e05547a39b788deaf22725490855337fc36613288aa8ae1601dc8c525553", size = 66770 },
+    { url = "https://files.pythonhosted.org/packages/47/23/90c61f978c83647112460047ea0137bde9c7fe26600ce255bb3e17ea7a21/ijson-3.3.0-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:473f5d921fadc135d1ad698e2697025045cd8ed7e5e842258295012d8a3bc702", size = 64159 },
+    { url = "https://files.pythonhosted.org/packages/20/af/aab1a36072590af62d848f03981f1c587ca40a391fc61e418e388d8b0d46/ijson-3.3.0-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:dd26b396bc3a1e85f4acebeadbf627fa6117b97f4c10b177d5779577c6607744", size = 51095 },
+]
+
 [[package]]
 name = "imageio"
 version = "2.36.1"
@@ -2217,6 +2329,19 @@ wheels = [
    { url = "https://files.pythonhosted.org/packages/83/60/d497a310bde3f01cb805196ac61b7ad6dc5dcf8dce66634dc34364b20b4f/lazy_loader-0.4-py3-none-any.whl", hash = "sha256:342aa8e14d543a154047afb4ba8ef17f5563baad3fc610d7b15b213b0f119efc", size = 12097 },
 ]

+[[package]]
+name = "linkup-sdk"
+version = "0.2.1"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "httpx" },
+    { name = "pydantic" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/2e/ba/b06e8f2ca2f0ce255a40ee4505637536acfe83ec997cd8b61bd5cd031513/linkup_sdk-0.2.1.tar.gz", hash = "sha256:b00ba7cb0117358e975d50196501ac49b247509fd236121e40abe40e6a2a3e9a", size = 8918 }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/4f/90/2903b9e2eba501ceb6c6b4fc57bbeddde7e8964921a05d424f5a6125cbd0/linkup_sdk-0.2.1-py3-none-any.whl", hash = "sha256:bf50c88e659c6d9291cbd5e3e99b6a20a14c9b1eb2dc7acca763a3ae6f84b26e", size = 7961 },
+]
+
 [[package]]
 name = "litellm"
 version = "1.50.2"
@@ -2890,7 +3015,7 @@ name = "nvidia-cudnn-cu12"
 version = "9.1.0.70"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
-    { name = "nvidia-cublas-cu12", marker = "(platform_machine != 'aarch64' and platform_system != 'Darwin') or (platform_system != 'Darwin' and platform_system != 'Linux')" },
+    { name = "nvidia-cublas-cu12", marker = "(platform_machine != 'aarch64' and platform_system != 'Darwin') or (platform_system != 'Darwin' and platform_system != 'Linux' and sys_platform != 'linux')" },
 ]
 wheels = [
    { url = "https://files.pythonhosted.org/packages/9f/fd/713452cd72343f682b1c7b9321e23829f00b842ceaedcda96e742ea0b0b3/nvidia_cudnn_cu12-9.1.0.70-py3-none-manylinux2014_x86_64.whl", hash = "sha256:165764f44ef8c61fcdfdfdbe769d687e06374059fbb388b6c89ecb0e28793a6f", size = 664752741 },
@@ -2917,9 +3042,9 @@ name = "nvidia-cusolver-cu12"
 version = "11.4.5.107"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
-    { name = "nvidia-cublas-cu12", marker = "(platform_machine != 'aarch64' and platform_system != 'Darwin') or (platform_system != 'Darwin' and platform_system != 'Linux')" },
-    { name = "nvidia-cusparse-cu12", marker = "(platform_machine != 'aarch64' and platform_system != 'Darwin') or (platform_system != 'Darwin' and platform_system != 'Linux')" },
-    { name = "nvidia-nvjitlink-cu12", marker = "(platform_machine != 'aarch64' and platform_system != 'Darwin') or (platform_system != 'Darwin' and platform_system != 'Linux')" },
+    { name = "nvidia-cublas-cu12", marker = "(platform_machine != 'aarch64' and platform_system != 'Darwin') or (platform_system != 'Darwin' and platform_system != 'Linux' and sys_platform != 'linux')" },
+    { name = "nvidia-cusparse-cu12", marker = "(platform_machine != 'aarch64' and platform_system != 'Darwin') or (platform_system != 'Darwin' and platform_system != 'Linux' and sys_platform != 'linux')" },
+    { name = "nvidia-nvjitlink-cu12", marker = "(platform_machine != 'aarch64' and platform_system != 'Darwin') or (platform_system != 'Darwin' and platform_system != 'Linux' and sys_platform != 'linux')" },
 ]
 wheels = [
    { url = "https://files.pythonhosted.org/packages/bc/1d/8de1e5c67099015c834315e333911273a8c6aaba78923dd1d1e25fc5f217/nvidia_cusolver_cu12-11.4.5.107-py3-none-manylinux1_x86_64.whl", hash = "sha256:8a7ec542f0412294b15072fa7dab71d31334014a69f953004ea7a118206fe0dd", size = 124161928 },
@@ -2930,7 +3055,7 @@ name = "nvidia-cusparse-cu12"
 version = "12.1.0.106"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
-    { name = "nvidia-nvjitlink-cu12", marker = "(platform_machine != 'aarch64' and platform_system != 'Darwin') or (platform_system != 'Darwin' and platform_system != 'Linux')" },
+    { name = "nvidia-nvjitlink-cu12", marker = "(platform_machine != 'aarch64' and platform_system != 'Darwin') or (platform_system != 'Darwin' and platform_system != 'Linux' and sys_platform != 'linux')" },
 ]
 wheels = [
    { url = "https://files.pythonhosted.org/packages/65/5b/cfaeebf25cd9fdec14338ccb16f6b2c4c7fa9163aefcf057d86b9cc248bb/nvidia_cusparse_cu12-12.1.0.106-py3-none-manylinux1_x86_64.whl", hash = "sha256:f3b50f42cf363f86ab21f720998517a659a48131e8d538dc02f8768237bd884c", size = 195958278 },
@@ -3787,71 +3912,77 @@ wheels = [

 [[package]]
 name = "pydantic"
-version = "2.9.2"
+version = "2.10.4"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
    { name = "annotated-types" },
    { name = "pydantic-core" },
    { name = "typing-extensions" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/a9/b7/d9e3f12af310e1120c21603644a1cd86f59060e040ec5c3a80b8f05fae30/pydantic-2.9.2.tar.gz", hash = "sha256:d155cef71265d1e9807ed1c32b4c8deec042a44a50a4188b25ac67ecd81a9c0f", size = 769917 }
+sdist = { url = "https://files.pythonhosted.org/packages/70/7e/fb60e6fee04d0ef8f15e4e01ff187a196fa976eb0f0ab524af4599e5754c/pydantic-2.10.4.tar.gz", hash = "sha256:82f12e9723da6de4fe2ba888b5971157b3be7ad914267dea8f05f82b28254f06", size = 762094 }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/df/e4/ba44652d562cbf0bf320e0f3810206149c8a4e99cdbf66da82e97ab53a15/pydantic-2.9.2-py3-none-any.whl", hash = "sha256:f048cec7b26778210e28a0459867920654d48e5e62db0958433636cde4254f12", size = 434928 },
+    { url = "https://files.pythonhosted.org/packages/f3/26/3e1bbe954fde7ee22a6e7d31582c642aad9e84ffe4b5fb61e63b87cd326f/pydantic-2.10.4-py3-none-any.whl", hash = "sha256:597e135ea68be3a37552fb524bc7d0d66dcf93d395acd93a00682f1efcb8ee3d", size = 431765 },
 ]

 [[package]]
 name = "pydantic-core"
-version = "2.23.4"
+version = "2.27.2"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
    { name = "typing-extensions" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/e2/aa/6b6a9b9f8537b872f552ddd46dd3da230367754b6f707b8e1e963f515ea3/pydantic_core-2.23.4.tar.gz", hash = "sha256:2584f7cf844ac4d970fba483a717dbe10c1c1c96a969bf65d61ffe94df1b2863", size = 402156 }
+sdist = { url = "https://files.pythonhosted.org/packages/fc/01/f3e5ac5e7c25833db5eb555f7b7ab24cd6f8c322d3a3ad2d67a952dc0abc/pydantic_core-2.27.2.tar.gz", hash = "sha256:eb026e5a4c1fee05726072337ff51d1efb6f59090b7da90d30ea58625b1ffb39", size = 413443 }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/5c/8b/d3ae387f66277bd8104096d6ec0a145f4baa2966ebb2cad746c0920c9526/pydantic_core-2.23.4-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:b10bd51f823d891193d4717448fab065733958bdb6a6b351967bd349d48d5c9b", size = 1867835 },
-    { url = "https://files.pythonhosted.org/packages/46/76/f68272e4c3a7df8777798282c5e47d508274917f29992d84e1898f8908c7/pydantic_core-2.23.4-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:4fc714bdbfb534f94034efaa6eadd74e5b93c8fa6315565a222f7b6f42ca1166", size = 1776689 },
-    { url = "https://files.pythonhosted.org/packages/cc/69/5f945b4416f42ea3f3bc9d2aaec66c76084a6ff4ff27555bf9415ab43189/pydantic_core-2.23.4-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:63e46b3169866bd62849936de036f901a9356e36376079b05efa83caeaa02ceb", size = 1800748 },
-    { url = "https://files.pythonhosted.org/packages/50/ab/891a7b0054bcc297fb02d44d05c50e68154e31788f2d9d41d0b72c89fdf7/pydantic_core-2.23.4-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:ed1a53de42fbe34853ba90513cea21673481cd81ed1be739f7f2efb931b24916", size = 1806469 },
-    { url = "https://files.pythonhosted.org/packages/31/7c/6e3fa122075d78f277a8431c4c608f061881b76c2b7faca01d317ee39b5d/pydantic_core-2.23.4-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:cfdd16ab5e59fc31b5e906d1a3f666571abc367598e3e02c83403acabc092e07", size = 2002246 },
-    { url = "https://files.pythonhosted.org/packages/ad/6f/22d5692b7ab63fc4acbc74de6ff61d185804a83160adba5e6cc6068e1128/pydantic_core-2.23.4-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:255a8ef062cbf6674450e668482456abac99a5583bbafb73f9ad469540a3a232", size = 2659404 },
-    { url = "https://files.pythonhosted.org/packages/11/ac/1e647dc1121c028b691028fa61a4e7477e6aeb5132628fde41dd34c1671f/pydantic_core-2.23.4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4a7cd62e831afe623fbb7aabbb4fe583212115b3ef38a9f6b71869ba644624a2", size = 2053940 },
-    { url = "https://files.pythonhosted.org/packages/91/75/984740c17f12c3ce18b5a2fcc4bdceb785cce7df1511a4ce89bca17c7e2d/pydantic_core-2.23.4-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:f09e2ff1f17c2b51f2bc76d1cc33da96298f0a036a137f5440ab3ec5360b624f", size = 1921437 },
-    { url = "https://files.pythonhosted.org/packages/a0/74/13c5f606b64d93f0721e7768cd3e8b2102164866c207b8cd6f90bb15d24f/pydantic_core-2.23.4-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:e38e63e6f3d1cec5a27e0afe90a085af8b6806ee208b33030e65b6516353f1a3", size = 1966129 },
-    { url = "https://files.pythonhosted.org/packages/18/03/9c4aa5919457c7b57a016c1ab513b1a926ed9b2bb7915bf8e506bf65c34b/pydantic_core-2.23.4-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:0dbd8dbed2085ed23b5c04afa29d8fd2771674223135dc9bc937f3c09284d071", size = 2110908 },
-    { url = "https://files.pythonhosted.org/packages/92/2c/053d33f029c5dc65e5cf44ff03ceeefb7cce908f8f3cca9265e7f9b540c8/pydantic_core-2.23.4-cp310-none-win32.whl", hash = "sha256:6531b7ca5f951d663c339002e91aaebda765ec7d61b7d1e3991051906ddde119", size = 1735278 },
-    { url = "https://files.pythonhosted.org/packages/de/81/7dfe464eca78d76d31dd661b04b5f2036ec72ea8848dd87ab7375e185c23/pydantic_core-2.23.4-cp310-none-win_amd64.whl", hash = "sha256:7c9129eb40958b3d4500fa2467e6a83356b3b61bfff1b414c7361d9220f9ae8f", size = 1917453 },
-    { url = "https://files.pythonhosted.org/packages/5d/30/890a583cd3f2be27ecf32b479d5d615710bb926d92da03e3f7838ff3e58b/pydantic_core-2.23.4-cp311-cp311-macosx_10_12_x86_64.whl", hash = "sha256:77733e3892bb0a7fa797826361ce8a9184d25c8dffaec60b7ffe928153680ba8", size = 1865160 },
-    { url = "https://files.pythonhosted.org/packages/1d/9a/b634442e1253bc6889c87afe8bb59447f106ee042140bd57680b3b113ec7/pydantic_core-2.23.4-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:1b84d168f6c48fabd1f2027a3d1bdfe62f92cade1fb273a5d68e621da0e44e6d", size = 1776777 },
-    { url = "https://files.pythonhosted.org/packages/75/9a/7816295124a6b08c24c96f9ce73085032d8bcbaf7e5a781cd41aa910c891/pydantic_core-2.23.4-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:df49e7a0861a8c36d089c1ed57d308623d60416dab2647a4a17fe050ba85de0e", size = 1799244 },
-    { url = "https://files.pythonhosted.org/packages/a9/8f/89c1405176903e567c5f99ec53387449e62f1121894aa9fc2c4fdc51a59b/pydantic_core-2.23.4-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:ff02b6d461a6de369f07ec15e465a88895f3223eb75073ffea56b84d9331f607", size = 1805307 },
-    { url = "https://files.pythonhosted.org/packages/d5/a5/1a194447d0da1ef492e3470680c66048fef56fc1f1a25cafbea4bc1d1c48/pydantic_core-2.23.4-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:996a38a83508c54c78a5f41456b0103c30508fed9abcad0a59b876d7398f25fd", size = 2000663 },
-    { url = "https://files.pythonhosted.org/packages/13/a5/1df8541651de4455e7d587cf556201b4f7997191e110bca3b589218745a5/pydantic_core-2.23.4-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:d97683ddee4723ae8c95d1eddac7c192e8c552da0c73a925a89fa8649bf13eea", size = 2655941 },
-    { url = "https://files.pythonhosted.org/packages/44/31/a3899b5ce02c4316865e390107f145089876dff7e1dfc770a231d836aed8/pydantic_core-2.23.4-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:216f9b2d7713eb98cb83c80b9c794de1f6b7e3145eef40400c62e86cee5f4e1e", size = 2052105 },
-    { url = "https://files.pythonhosted.org/packages/1b/aa/98e190f8745d5ec831f6d5449344c48c0627ac5fed4e5340a44b74878f8e/pydantic_core-2.23.4-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:6f783e0ec4803c787bcea93e13e9932edab72068f68ecffdf86a99fd5918878b", size = 1919967 },
-    { url = "https://files.pythonhosted.org/packages/ae/35/b6e00b6abb2acfee3e8f85558c02a0822e9a8b2f2d812ea8b9079b118ba0/pydantic_core-2.23.4-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:d0776dea117cf5272382634bd2a5c1b6eb16767c223c6a5317cd3e2a757c61a0", size = 1964291 },
-    { url = "https://files.pythonhosted.org/packages/13/46/7bee6d32b69191cd649bbbd2361af79c472d72cb29bb2024f0b6e350ba06/pydantic_core-2.23.4-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:d5f7a395a8cf1621939692dba2a6b6a830efa6b3cee787d82c7de1ad2930de64", size = 2109666 },
-    { url = "https://files.pythonhosted.org/packages/39/ef/7b34f1b122a81b68ed0a7d0e564da9ccdc9a2924c8d6c6b5b11fa3a56970/pydantic_core-2.23.4-cp311-none-win32.whl", hash = "sha256:74b9127ffea03643e998e0c5ad9bd3811d3dac8c676e47db17b0ee7c3c3bf35f", size = 1732940 },
-    { url = "https://files.pythonhosted.org/packages/2f/76/37b7e76c645843ff46c1d73e046207311ef298d3f7b2f7d8f6ac60113071/pydantic_core-2.23.4-cp311-none-win_amd64.whl", hash = "sha256:98d134c954828488b153d88ba1f34e14259284f256180ce659e8d83e9c05eaa3", size = 1916804 },
-    { url = "https://files.pythonhosted.org/packages/74/7b/8e315f80666194b354966ec84b7d567da77ad927ed6323db4006cf915f3f/pydantic_core-2.23.4-cp312-cp312-macosx_10_12_x86_64.whl", hash = "sha256:f3e0da4ebaef65158d4dfd7d3678aad692f7666877df0002b8a522cdf088f231", size = 1856459 },
-    { url = "https://files.pythonhosted.org/packages/14/de/866bdce10ed808323d437612aca1ec9971b981e1c52e5e42ad9b8e17a6f6/pydantic_core-2.23.4-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:f69a8e0b033b747bb3e36a44e7732f0c99f7edd5cea723d45bc0d6e95377ffee", size = 1770007 },
-    { url = "https://files.pythonhosted.org/packages/dc/69/8edd5c3cd48bb833a3f7ef9b81d7666ccddd3c9a635225214e044b6e8281/pydantic_core-2.23.4-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:723314c1d51722ab28bfcd5240d858512ffd3116449c557a1336cbe3919beb87", size = 1790245 },
-    { url = "https://files.pythonhosted.org/packages/80/33/9c24334e3af796ce80d2274940aae38dd4e5676298b4398eff103a79e02d/pydantic_core-2.23.4-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:bb2802e667b7051a1bebbfe93684841cc9351004e2badbd6411bf357ab8d5ac8", size = 1801260 },
-    { url = "https://files.pythonhosted.org/packages/a5/6f/e9567fd90104b79b101ca9d120219644d3314962caa7948dd8b965e9f83e/pydantic_core-2.23.4-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:d18ca8148bebe1b0a382a27a8ee60350091a6ddaf475fa05ef50dc35b5df6327", size = 1996872 },
-    { url = "https://files.pythonhosted.org/packages/2d/ad/b5f0fe9e6cfee915dd144edbd10b6e9c9c9c9d7a56b69256d124b8ac682e/pydantic_core-2.23.4-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:33e3d65a85a2a4a0dc3b092b938a4062b1a05f3a9abde65ea93b233bca0e03f2", size = 2661617 },
-    { url = "https://files.pythonhosted.org/packages/06/c8/7d4b708f8d05a5cbfda3243aad468052c6e99de7d0937c9146c24d9f12e9/pydantic_core-2.23.4-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:128585782e5bfa515c590ccee4b727fb76925dd04a98864182b22e89a4e6ed36", size = 2071831 },
-    { url = "https://files.pythonhosted.org/packages/89/4d/3079d00c47f22c9a9a8220db088b309ad6e600a73d7a69473e3a8e5e3ea3/pydantic_core-2.23.4-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:68665f4c17edcceecc112dfed5dbe6f92261fb9d6054b47d01bf6371a6196126", size = 1917453 },
-    { url = "https://files.pythonhosted.org/packages/e9/88/9df5b7ce880a4703fcc2d76c8c2d8eb9f861f79d0c56f4b8f5f2607ccec8/pydantic_core-2.23.4-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:20152074317d9bed6b7a95ade3b7d6054845d70584216160860425f4fbd5ee9e", size = 1968793 },
-    { url = "https://files.pythonhosted.org/packages/e3/b9/41f7efe80f6ce2ed3ee3c2dcfe10ab7adc1172f778cc9659509a79518c43/pydantic_core-2.23.4-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:9261d3ce84fa1d38ed649c3638feefeae23d32ba9182963e465d58d62203bd24", size = 2116872 },
-    { url = "https://files.pythonhosted.org/packages/63/08/b59b7a92e03dd25554b0436554bf23e7c29abae7cce4b1c459cd92746811/pydantic_core-2.23.4-cp312-none-win32.whl", hash = "sha256:4ba762ed58e8d68657fc1281e9bb72e1c3e79cc5d464be146e260c541ec12d84", size = 1738535 },
-    { url = "https://files.pythonhosted.org/packages/88/8d/479293e4d39ab409747926eec4329de5b7129beaedc3786eca070605d07f/pydantic_core-2.23.4-cp312-none-win_amd64.whl", hash = "sha256:97df63000f4fea395b2824da80e169731088656d1818a11b95f3b173747b6cd9", size = 1917992 },
-    { url = "https://files.pythonhosted.org/packages/13/a9/5d582eb3204464284611f636b55c0a7410d748ff338756323cb1ce721b96/pydantic_core-2.23.4-pp310-pypy310_pp73-macosx_10_12_x86_64.whl", hash = "sha256:f455ee30a9d61d3e1a15abd5068827773d6e4dc513e795f380cdd59932c782d5", size = 1857135 },
-    { url = "https://files.pythonhosted.org/packages/2c/57/faf36290933fe16717f97829eabfb1868182ac495f99cf0eda9f59687c9d/pydantic_core-2.23.4-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:1e90d2e3bd2c3863d48525d297cd143fe541be8bbf6f579504b9712cb6b643ec", size = 1740583 },
-    { url = "https://files.pythonhosted.org/packages/91/7c/d99e3513dc191c4fec363aef1bf4c8af9125d8fa53af7cb97e8babef4e40/pydantic_core-2.23.4-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:2e203fdf807ac7e12ab59ca2bfcabb38c7cf0b33c41efeb00f8e5da1d86af480", size = 1793637 },
-    { url = "https://files.pythonhosted.org/packages/29/18/812222b6d18c2d13eebbb0f7cdc170a408d9ced65794fdb86147c77e1982/pydantic_core-2.23.4-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e08277a400de01bc72436a0ccd02bdf596631411f592ad985dcee21445bd0068", size = 1941963 },
-    { url = "https://files.pythonhosted.org/packages/0f/36/c1f3642ac3f05e6bb4aec3ffc399fa3f84895d259cf5f0ce3054b7735c29/pydantic_core-2.23.4-pp310-pypy310_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:f220b0eea5965dec25480b6333c788fb72ce5f9129e8759ef876a1d805d00801", size = 1915332 },
-    { url = "https://files.pythonhosted.org/packages/f7/ca/9c0854829311fb446020ebb540ee22509731abad886d2859c855dd29b904/pydantic_core-2.23.4-pp310-pypy310_pp73-musllinux_1_1_aarch64.whl", hash = "sha256:d06b0c8da4f16d1d1e352134427cb194a0a6e19ad5db9161bf32b2113409e728", size = 1957926 },
-    { url = "https://files.pythonhosted.org/packages/c0/1c/7836b67c42d0cd4441fcd9fafbf6a027ad4b79b6559f80cf11f89fd83648/pydantic_core-2.23.4-pp310-pypy310_pp73-musllinux_1_1_x86_64.whl", hash = "sha256:ba1a0996f6c2773bd83e63f18914c1de3c9dd26d55f4ac302a7efe93fb8e7433", size = 2100342 },
-    { url = "https://files.pythonhosted.org/packages/a9/f9/b6bcaf874f410564a78908739c80861a171788ef4d4f76f5009656672dfe/pydantic_core-2.23.4-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:9a5bce9d23aac8f0cf0836ecfc033896aa8443b501c58d0602dbfd5bd5b37753", size = 1920344 },
+    { url = "https://files.pythonhosted.org/packages/3a/bc/fed5f74b5d802cf9a03e83f60f18864e90e3aed7223adaca5ffb7a8d8d64/pydantic_core-2.27.2-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:2d367ca20b2f14095a8f4fa1210f5a7b78b8a20009ecced6b12818f455b1e9fa", size = 1895938 },
+    { url = "https://files.pythonhosted.org/packages/71/2a/185aff24ce844e39abb8dd680f4e959f0006944f4a8a0ea372d9f9ae2e53/pydantic_core-2.27.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:491a2b73db93fab69731eaee494f320faa4e093dbed776be1a829c2eb222c34c", size = 1815684 },
+    { url = "https://files.pythonhosted.org/packages/c3/43/fafabd3d94d159d4f1ed62e383e264f146a17dd4d48453319fd782e7979e/pydantic_core-2.27.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:7969e133a6f183be60e9f6f56bfae753585680f3b7307a8e555a948d443cc05a", size = 1829169 },
+    { url = "https://files.pythonhosted.org/packages/a2/d1/f2dfe1a2a637ce6800b799aa086d079998959f6f1215eb4497966efd2274/pydantic_core-2.27.2-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:3de9961f2a346257caf0aa508a4da705467f53778e9ef6fe744c038119737ef5", size = 1867227 },
+    { url = "https://files.pythonhosted.org/packages/7d/39/e06fcbcc1c785daa3160ccf6c1c38fea31f5754b756e34b65f74e99780b5/pydantic_core-2.27.2-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:e2bb4d3e5873c37bb3dd58714d4cd0b0e6238cebc4177ac8fe878f8b3aa8e74c", size = 2037695 },
+    { url = "https://files.pythonhosted.org/packages/7a/67/61291ee98e07f0650eb756d44998214231f50751ba7e13f4f325d95249ab/pydantic_core-2.27.2-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:280d219beebb0752699480fe8f1dc61ab6615c2046d76b7ab7ee38858de0a4e7", size = 2741662 },
+    { url = "https://files.pythonhosted.org/packages/32/90/3b15e31b88ca39e9e626630b4c4a1f5a0dfd09076366f4219429e6786076/pydantic_core-2.27.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:47956ae78b6422cbd46f772f1746799cbb862de838fd8d1fbd34a82e05b0983a", size = 1993370 },
+    { url = "https://files.pythonhosted.org/packages/ff/83/c06d333ee3a67e2e13e07794995c1535565132940715931c1c43bfc85b11/pydantic_core-2.27.2-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:14d4a5c49d2f009d62a2a7140d3064f686d17a5d1a268bc641954ba181880236", size = 1996813 },
+    { url = "https://files.pythonhosted.org/packages/7c/f7/89be1c8deb6e22618a74f0ca0d933fdcb8baa254753b26b25ad3acff8f74/pydantic_core-2.27.2-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:337b443af21d488716f8d0b6164de833e788aa6bd7e3a39c005febc1284f4962", size = 2005287 },
+    { url = "https://files.pythonhosted.org/packages/b7/7d/8eb3e23206c00ef7feee17b83a4ffa0a623eb1a9d382e56e4aa46fd15ff2/pydantic_core-2.27.2-cp310-cp310-musllinux_1_1_armv7l.whl", hash = "sha256:03d0f86ea3184a12f41a2d23f7ccb79cdb5a18e06993f8a45baa8dfec746f0e9", size = 2128414 },
+    { url = "https://files.pythonhosted.org/packages/4e/99/fe80f3ff8dd71a3ea15763878d464476e6cb0a2db95ff1c5c554133b6b83/pydantic_core-2.27.2-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:7041c36f5680c6e0f08d922aed302e98b3745d97fe1589db0a3eebf6624523af", size = 2155301 },
+    { url = "https://files.pythonhosted.org/packages/2b/a3/e50460b9a5789ca1451b70d4f52546fa9e2b420ba3bfa6100105c0559238/pydantic_core-2.27.2-cp310-cp310-win32.whl", hash = "sha256:50a68f3e3819077be2c98110c1f9dcb3817e93f267ba80a2c05bb4f8799e2ff4", size = 1816685 },
+    { url = "https://files.pythonhosted.org/packages/57/4c/a8838731cb0f2c2a39d3535376466de6049034d7b239c0202a64aaa05533/pydantic_core-2.27.2-cp310-cp310-win_amd64.whl", hash = "sha256:e0fd26b16394ead34a424eecf8a31a1f5137094cabe84a1bcb10fa6ba39d3d31", size = 1982876 },
+    { url = "https://files.pythonhosted.org/packages/c2/89/f3450af9d09d44eea1f2c369f49e8f181d742f28220f88cc4dfaae91ea6e/pydantic_core-2.27.2-cp311-cp311-macosx_10_12_x86_64.whl", hash = "sha256:8e10c99ef58cfdf2a66fc15d66b16c4a04f62bca39db589ae8cba08bc55331bc", size = 1893421 },
+    { url = "https://files.pythonhosted.org/packages/9e/e3/71fe85af2021f3f386da42d291412e5baf6ce7716bd7101ea49c810eda90/pydantic_core-2.27.2-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:26f32e0adf166a84d0cb63be85c562ca8a6fa8de28e5f0d92250c6b7e9e2aff7", size = 1814998 },
+    { url = "https://files.pythonhosted.org/packages/a6/3c/724039e0d848fd69dbf5806894e26479577316c6f0f112bacaf67aa889ac/pydantic_core-2.27.2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8c19d1ea0673cd13cc2f872f6c9ab42acc4e4f492a7ca9d3795ce2b112dd7e15", size = 1826167 },
+    { url = "https://files.pythonhosted.org/packages/2b/5b/1b29e8c1fb5f3199a9a57c1452004ff39f494bbe9bdbe9a81e18172e40d3/pydantic_core-2.27.2-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:5e68c4446fe0810e959cdff46ab0a41ce2f2c86d227d96dc3847af0ba7def306", size = 1865071 },
+    { url = "https://files.pythonhosted.org/packages/89/6c/3985203863d76bb7d7266e36970d7e3b6385148c18a68cc8915fd8c84d57/pydantic_core-2.27.2-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:d9640b0059ff4f14d1f37321b94061c6db164fbe49b334b31643e0528d100d99", size = 2036244 },
+    { url = "https://files.pythonhosted.org/packages/0e/41/f15316858a246b5d723f7d7f599f79e37493b2e84bfc789e58d88c209f8a/pydantic_core-2.27.2-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:40d02e7d45c9f8af700f3452f329ead92da4c5f4317ca9b896de7ce7199ea459", size = 2737470 },
+    { url = "https://files.pythonhosted.org/packages/a8/7c/b860618c25678bbd6d1d99dbdfdf0510ccb50790099b963ff78a124b754f/pydantic_core-2.27.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1c1fd185014191700554795c99b347d64f2bb637966c4cfc16998a0ca700d048", size = 1992291 },
+    { url = "https://files.pythonhosted.org/packages/bf/73/42c3742a391eccbeab39f15213ecda3104ae8682ba3c0c28069fbcb8c10d/pydantic_core-2.27.2-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:d81d2068e1c1228a565af076598f9e7451712700b673de8f502f0334f281387d", size = 1994613 },
+    { url = "https://files.pythonhosted.org/packages/94/7a/941e89096d1175d56f59340f3a8ebaf20762fef222c298ea96d36a6328c5/pydantic_core-2.27.2-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:1a4207639fb02ec2dbb76227d7c751a20b1a6b4bc52850568e52260cae64ca3b", size = 2002355 },
+    { url = "https://files.pythonhosted.org/packages/6e/95/2359937a73d49e336a5a19848713555605d4d8d6940c3ec6c6c0ca4dcf25/pydantic_core-2.27.2-cp311-cp311-musllinux_1_1_armv7l.whl", hash = "sha256:3de3ce3c9ddc8bbd88f6e0e304dea0e66d843ec9de1b0042b0911c1663ffd474", size = 2126661 },
+    { url = "https://files.pythonhosted.org/packages/2b/4c/ca02b7bdb6012a1adef21a50625b14f43ed4d11f1fc237f9d7490aa5078c/pydantic_core-2.27.2-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:30c5f68ded0c36466acede341551106821043e9afaad516adfb6e8fa80a4e6a6", size = 2153261 },
+    { url = "https://files.pythonhosted.org/packages/72/9d/a241db83f973049a1092a079272ffe2e3e82e98561ef6214ab53fe53b1c7/pydantic_core-2.27.2-cp311-cp311-win32.whl", hash = "sha256:c70c26d2c99f78b125a3459f8afe1aed4d9687c24fd677c6a4436bc042e50d6c", size = 1812361 },
+    { url = "https://files.pythonhosted.org/packages/e8/ef/013f07248041b74abd48a385e2110aa3a9bbfef0fbd97d4e6d07d2f5b89a/pydantic_core-2.27.2-cp311-cp311-win_amd64.whl", hash = "sha256:08e125dbdc505fa69ca7d9c499639ab6407cfa909214d500897d02afb816e7cc", size = 1982484 },
+    { url = "https://files.pythonhosted.org/packages/10/1c/16b3a3e3398fd29dca77cea0a1d998d6bde3902fa2706985191e2313cc76/pydantic_core-2.27.2-cp311-cp311-win_arm64.whl", hash = "sha256:26f0d68d4b235a2bae0c3fc585c585b4ecc51382db0e3ba402a22cbc440915e4", size = 1867102 },
+    { url = "https://files.pythonhosted.org/packages/d6/74/51c8a5482ca447871c93e142d9d4a92ead74de6c8dc5e66733e22c9bba89/pydantic_core-2.27.2-cp312-cp312-macosx_10_12_x86_64.whl", hash = "sha256:9e0c8cfefa0ef83b4da9588448b6d8d2a2bf1a53c3f1ae5fca39eb3061e2f0b0", size = 1893127 },
+    { url = "https://files.pythonhosted.org/packages/d3/f3/c97e80721735868313c58b89d2de85fa80fe8dfeeed84dc51598b92a135e/pydantic_core-2.27.2-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:83097677b8e3bd7eaa6775720ec8e0405f1575015a463285a92bfdfe254529ef", size = 1811340 },
+    { url = "https://files.pythonhosted.org/packages/9e/91/840ec1375e686dbae1bd80a9e46c26a1e0083e1186abc610efa3d9a36180/pydantic_core-2.27.2-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:172fce187655fece0c90d90a678424b013f8fbb0ca8b036ac266749c09438cb7", size = 1822900 },
+    { url = "https://files.pythonhosted.org/packages/f6/31/4240bc96025035500c18adc149aa6ffdf1a0062a4b525c932065ceb4d868/pydantic_core-2.27.2-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:519f29f5213271eeeeb3093f662ba2fd512b91c5f188f3bb7b27bc5973816934", size = 1869177 },
+    { url = "https://files.pythonhosted.org/packages/fa/20/02fbaadb7808be578317015c462655c317a77a7c8f0ef274bc016a784c54/pydantic_core-2.27.2-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:05e3a55d124407fffba0dd6b0c0cd056d10e983ceb4e5dbd10dda135c31071d6", size = 2038046 },
+    { url = "https://files.pythonhosted.org/packages/06/86/7f306b904e6c9eccf0668248b3f272090e49c275bc488a7b88b0823444a4/pydantic_core-2.27.2-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:9c3ed807c7b91de05e63930188f19e921d1fe90de6b4f5cd43ee7fcc3525cb8c", size = 2685386 },
+    { url = "https://files.pythonhosted.org/packages/8d/f0/49129b27c43396581a635d8710dae54a791b17dfc50c70164866bbf865e3/pydantic_core-2.27.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6fb4aadc0b9a0c063206846d603b92030eb6f03069151a625667f982887153e2", size = 1997060 },
+    { url = "https://files.pythonhosted.org/packages/0d/0f/943b4af7cd416c477fd40b187036c4f89b416a33d3cc0ab7b82708a667aa/pydantic_core-2.27.2-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:28ccb213807e037460326424ceb8b5245acb88f32f3d2777427476e1b32c48c4", size = 2004870 },
+    { url = "https://files.pythonhosted.org/packages/35/40/aea70b5b1a63911c53a4c8117c0a828d6790483f858041f47bab0b779f44/pydantic_core-2.27.2-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:de3cd1899e2c279b140adde9357c4495ed9d47131b4a4eaff9052f23398076b3", size = 1999822 },
+    { url = "https://files.pythonhosted.org/packages/f2/b3/807b94fd337d58effc5498fd1a7a4d9d59af4133e83e32ae39a96fddec9d/pydantic_core-2.27.2-cp312-cp312-musllinux_1_1_armv7l.whl", hash = "sha256:220f892729375e2d736b97d0e51466252ad84c51857d4d15f5e9692f9ef12be4", size = 2130364 },
+    { url = "https://files.pythonhosted.org/packages/fc/df/791c827cd4ee6efd59248dca9369fb35e80a9484462c33c6649a8d02b565/pydantic_core-2.27.2-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:a0fcd29cd6b4e74fe8ddd2c90330fd8edf2e30cb52acda47f06dd615ae72da57", size = 2158303 },
+    { url = "https://files.pythonhosted.org/packages/9b/67/4e197c300976af185b7cef4c02203e175fb127e414125916bf1128b639a9/pydantic_core-2.27.2-cp312-cp312-win32.whl", hash = "sha256:1e2cb691ed9834cd6a8be61228471d0a503731abfb42f82458ff27be7b2186fc", size = 1834064 },
+    { url = "https://files.pythonhosted.org/packages/1f/ea/cd7209a889163b8dcca139fe32b9687dd05249161a3edda62860430457a5/pydantic_core-2.27.2-cp312-cp312-win_amd64.whl", hash = "sha256:cc3f1a99a4f4f9dd1de4fe0312c114e740b5ddead65bb4102884b384c15d8bc9", size = 1989046 },
+    { url = "https://files.pythonhosted.org/packages/bc/49/c54baab2f4658c26ac633d798dab66b4c3a9bbf47cff5284e9c182f4137a/pydantic_core-2.27.2-cp312-cp312-win_arm64.whl", hash = "sha256:3911ac9284cd8a1792d3cb26a2da18f3ca26c6908cc434a18f730dc0db7bfa3b", size = 1885092 },
+    { url = "https://files.pythonhosted.org/packages/46/72/af70981a341500419e67d5cb45abe552a7c74b66326ac8877588488da1ac/pydantic_core-2.27.2-pp310-pypy310_pp73-macosx_10_12_x86_64.whl", hash = "sha256:2bf14caea37e91198329b828eae1618c068dfb8ef17bb33287a7ad4b61ac314e", size = 1891159 },
+    { url = "https://files.pythonhosted.org/packages/ad/3d/c5913cccdef93e0a6a95c2d057d2c2cba347815c845cda79ddd3c0f5e17d/pydantic_core-2.27.2-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:b0cb791f5b45307caae8810c2023a184c74605ec3bcbb67d13846c28ff731ff8", size = 1768331 },
+    { url = "https://files.pythonhosted.org/packages/f6/f0/a3ae8fbee269e4934f14e2e0e00928f9346c5943174f2811193113e58252/pydantic_core-2.27.2-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:688d3fd9fcb71f41c4c015c023d12a79d1c4c0732ec9eb35d96e3388a120dcf3", size = 1822467 },
+    { url = "https://files.pythonhosted.org/packages/d7/7a/7bbf241a04e9f9ea24cd5874354a83526d639b02674648af3f350554276c/pydantic_core-2.27.2-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3d591580c34f4d731592f0e9fe40f9cc1b430d297eecc70b962e93c5c668f15f", size = 1979797 },
+    { url = "https://files.pythonhosted.org/packages/4f/5f/4784c6107731f89e0005a92ecb8a2efeafdb55eb992b8e9d0a2be5199335/pydantic_core-2.27.2-pp310-pypy310_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:82f986faf4e644ffc189a7f1aafc86e46ef70372bb153e7001e8afccc6e54133", size = 1987839 },
+    { url = "https://files.pythonhosted.org/packages/6d/a7/61246562b651dff00de86a5f01b6e4befb518df314c54dec187a78d81c84/pydantic_core-2.27.2-pp310-pypy310_pp73-musllinux_1_1_aarch64.whl", hash = "sha256:bec317a27290e2537f922639cafd54990551725fc844249e64c523301d0822fc", size = 1998861 },
+    { url = "https://files.pythonhosted.org/packages/86/aa/837821ecf0c022bbb74ca132e117c358321e72e7f9702d1b6a03758545e2/pydantic_core-2.27.2-pp310-pypy310_pp73-musllinux_1_1_armv7l.whl", hash = "sha256:0296abcb83a797db256b773f45773da397da75a08f5fcaef41f2044adec05f50", size = 2116582 },
+    { url = "https://files.pythonhosted.org/packages/81/b0/5e74656e95623cbaa0a6278d16cf15e10a51f6002e3ec126541e95c29ea3/pydantic_core-2.27.2-pp310-pypy310_pp73-musllinux_1_1_x86_64.whl", hash = "sha256:0d75070718e369e452075a6017fbf187f788e17ed67a3abd47fa934d001863d9", size = 2151985 },
+    { url = "https://files.pythonhosted.org/packages/63/37/3e32eeb2a451fddaa3898e2163746b0cffbbdbb4740d38372db0490d67f3/pydantic_core-2.27.2-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:7e17b560be3c98a8e3aa66ce828bdebb9e9ac6ad5466fba92eb74c4c95cb1151", size = 2004715 },
 ]

 [[package]]
@@ -4669,6 +4800,22 @@ wheels = [
    { url = "https://files.pythonhosted.org/packages/aa/7d/43ab67228ef98c6b5dd42ab386eae2d7877036970a0d7e3dd3eb47a0d530/scipy-1.14.1-cp312-cp312-win_amd64.whl", hash = "sha256:2ff38e22128e6c03ff73b6bb0f85f897d2362f8c052e3b8ad00532198fbdae3f", size = 44521212 },
 ]

+[[package]]
+name = "scrapegraph-py"
+version = "1.8.0"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "aiohttp" },
+    { name = "beautifulsoup4" },
+    { name = "pydantic" },
+    { name = "python-dotenv" },
+    { name = "requests" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/33/90/2388754061394a6c95fd5ad48cf4550208ce081c99cbc883672d52ccc360/scrapegraph_py-1.8.0.tar.gz", hash = "sha256:e075f6e6012a14a038537d0664609229069d9d2c2956bcbf9362f0c5c48de786", size = 108112 }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/f7/80/14aeb7ba092cfc6928844a6726855f0c33489107f344e71dd8071f6433ed/scrapegraph_py-1.8.0-py3-none-any.whl", hash = "sha256:279176c972a770bac37a284e0bc25e34793797f30ff24dfba8fbcbfda79c8c88", size = 14460 },
+]
+
 [[package]]
 name = "selenium"
 version = "4.25.0"
@@ -4699,6 +4846,18 @@ wheels = [
    { url = "https://files.pythonhosted.org/packages/f8/85/3940bb4c586e10603d169d13ffccd59ed32fcb8d1b8104c3aef0e525b3b2/semchunk-2.2.0-py3-none-any.whl", hash = "sha256:7db19ca90ddb48f99265e789e07a7bb111ae25185f9cc3d44b94e1e61b9067fc", size = 10243 },
 ]

+[[package]]
+name = "serpapi"
+version = "0.1.5"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "requests" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/f0/fa/3fd8809287f3977a3e752bb88610e918d49cb1038b14f4bc51e13e594197/serpapi-0.1.5.tar.gz", hash = "sha256:b9707ed54750fdd2f62dc3a17c6a3fb7fa421dc37902fd65b2263c0ac765a1a5", size = 14191 }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/df/6a/21deade04100d64844e494353a5d65e7971fbdfddf78eb1f248423593ad0/serpapi-0.1.5-py2.py3-none-any.whl", hash = "sha256:6467b6adec1231059f754ccaa952b229efeaa8b9cae6e71f879703ec9e5bb3d1", size = 10966 },
+]
+
 [[package]]
 name = "setuptools"
 version = "75.2.0"
@@ -4782,6 +4941,18 @@ wheels = [
    { url = "https://files.pythonhosted.org/packages/d1/c2/fe97d779f3ef3b15f05c94a2f1e3d21732574ed441687474db9d342a7315/soupsieve-2.6-py3-none-any.whl", hash = "sha256:e72c4ff06e4fb6e4b5a9f0f55fe6e81514581fca1515028625d0f299c602ccc9", size = 36186 },
 ]

+[[package]]
+name = "spider-client"
+version = "0.1.25"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "aiohttp" },
+    { name = "ijson" },
+    { name = "requests" },
+    { name = "tenacity" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/b8/f2/06d89322f0054ea72e8d5580199f580e29df23476cb3cfe83a70a2a58a1b/spider-client-0.1.25.tar.gz", hash = "sha256:92ca4ce1d9d715dd8db52684ea417653940d8f3bbc13383d78683bc4fbb899a2", size = 15412 }
+
 [[package]]
 name = "sqlalchemy"
 version = "2.0.36"
@@ -5155,7 +5326,7 @@ name = "triton"
 version = "3.0.0"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
-    { name = "filelock", marker = "(platform_machine != 'aarch64' and platform_system != 'Darwin') or (platform_system != 'Darwin' and platform_system != 'Linux')" },
+    { name = "filelock", marker = "(platform_machine != 'aarch64' and platform_system != 'Darwin') or (platform_system != 'Darwin' and platform_system != 'Linux' and sys_platform != 'linux')" },
 ]
 wheels = [
    { url = "https://files.pythonhosted.org/packages/45/27/14cc3101409b9b4b9241d2ba7deaa93535a217a211c86c4cc7151fb12181/triton-3.0.0-1-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:e1efef76935b2febc365bfadf74bcb65a6f959a9872e5bddf44cc9e0adce1e1a", size = 209376304 },
@@ -5311,6 +5482,15 @@ wheels = [
    { url = "https://files.pythonhosted.org/packages/8f/eb/f7032be105877bcf924709c97b1bf3b90255b4ec251f9340cef912559f28/uvloop-0.21.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:183aef7c8730e54c9a3ee3227464daed66e37ba13040bb3f350bc2ddc040f22f", size = 4659022 },
 ]

+[[package]]
+name = "validators"
+version = "0.34.0"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/64/07/91582d69320f6f6daaf2d8072608a4ad8884683d4840e7e4f3a9dbdcc639/validators-0.34.0.tar.gz", hash = "sha256:647fe407b45af9a74d245b943b18e6a816acf4926974278f6dd617778e1e781f", size = 70955 }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/6e/78/36828a4d857b25896f9774c875714ba4e9b3bc8a92d2debe3f4df3a83d4f/validators-0.34.0-py3-none-any.whl", hash = "sha256:c804b476e3e6d3786fa07a30073a4ef694e617805eb1946ceee3fe5a9b8b1321", size = 43536 },
+]
+
 [[package]]
 name = "vcrpy"
 version = "5.1.0"
@@ -5430,6 +5610,25 @@ wheels = [
    { url = "https://files.pythonhosted.org/packages/fd/84/fd2ba7aafacbad3c4201d395674fc6348826569da3c0937e75505ead3528/wcwidth-0.2.13-py2.py3-none-any.whl", hash = "sha256:3da69048e4540d84af32131829ff948f1e022c1c6bdb8d6102117aac784f6859", size = 34166 },
 ]

+[[package]]
+name = "weaviate-client"
+version = "4.9.6"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "authlib" },
+    { name = "grpcio" },
+    { name = "grpcio-health-checking" },
+    { name = "grpcio-tools" },
+    { name = "httpx" },
+    { name = "pydantic" },
+    { name = "requests" },
+    { name = "validators" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/5d/7d/3894d12065d006743271b0b6bcc3bf911910473e91179d5966966816d694/weaviate_client-4.9.6.tar.gz", hash = "sha256:56d67c40fc94b0d53e81e0aa4477baaebbf3646fbec26551df66e396a72adcb6", size = 696813 }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/2f/40/e3550e743b92ddd8dc69ebfd69cceb6de45b7d9a1cd439995454b499e9a3/weaviate_client-4.9.6-py3-none-any.whl", hash = "sha256:1d3b551939c0f7314f25e417cbcf4cf34e7adf942627993eef36ae6b4a044673", size = 386998 },
+]
+
 [[package]]
 name = "webencodings"
 version = "0.5.1"
@@ -5567,64 +5766,64 @@ wheels = [

 [[package]]
 name = "yarl"
-version = "1.16.0"
+version = "1.18.3"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
    { name = "idna" },
    { name = "multidict" },
    { name = "propcache" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/23/52/e9766cc6c2eab7dd1e9749c52c9879317500b46fb97d4105223f86679f93/yarl-1.16.0.tar.gz", hash = "sha256:b6f687ced5510a9a2474bbae96a4352e5ace5fa34dc44a217b0537fec1db00b4", size = 176548 }
+sdist = { url = "https://files.pythonhosted.org/packages/b7/9d/4b94a8e6d2b51b599516a5cb88e5bc99b4d8d4583e468057eaa29d5f0918/yarl-1.18.3.tar.gz", hash = "sha256:ac1801c45cbf77b6c99242eeff4fffb5e4e73a800b5c4ad4fc0be5def634d2e1", size = 181062 }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/df/30/00b17348655202e4bd24f8d79cd062888e5d3bdbf2ba726615c5d21b54a5/yarl-1.16.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:32468f41242d72b87ab793a86d92f885355bcf35b3355aa650bfa846a5c60058", size = 140016 },
-    { url = "https://files.pythonhosted.org/packages/a5/15/9b7b85b72b81f180689257b2bb6e54d5d0764a399679aa06d5dec8ca6e2e/yarl-1.16.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:234f3a3032b505b90e65b5bc6652c2329ea7ea8855d8de61e1642b74b4ee65d2", size = 92953 },
-    { url = "https://files.pythonhosted.org/packages/31/41/91848bbb76789336d3b786ff144030001b5027b17729b3afa32da668f5b0/yarl-1.16.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:8a0296040e5cddf074c7f5af4a60f3fc42c0237440df7bcf5183be5f6c802ed5", size = 90793 },
-    { url = "https://files.pythonhosted.org/packages/6c/99/f1ada764e350ab054e14902f3f68589a7d77469ac47fbc512aa1a78a2f35/yarl-1.16.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:de6c14dd7c7c0badba48157474ea1f03ebee991530ba742d381b28d4f314d6f3", size = 313155 },
-    { url = "https://files.pythonhosted.org/packages/75/fd/998ccdb489ca97d9073d882265203a2fae4c5bff30eb9b8a0bbbed7aef2b/yarl-1.16.0-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:b140e532fe0266003c936d017c1ac301e72ee4a3fd51784574c05f53718a55d8", size = 328624 },
-    { url = "https://files.pythonhosted.org/packages/2d/5d/395bbae1f509f64e6d26b7ffffff178d70c5480f15af735dfb0afb8f0dc5/yarl-1.16.0-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:019f5d58093402aa8f6661e60fd82a28746ad6d156f6c5336a70a39bd7b162b9", size = 325163 },
-    { url = "https://files.pythonhosted.org/packages/1d/25/65601d336189d122483f5ff0276b08278fa4778f833458cfcac5c6eddc87/yarl-1.16.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8c42998fd1cbeb53cd985bff0e4bc25fbe55fd6eb3a545a724c1012d69d5ec84", size = 318076 },
-    { url = "https://files.pythonhosted.org/packages/50/bb/0c9692ec457c1ed023654a9fba6d0c69a20c79b56275d972f6a24ab18547/yarl-1.16.0-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:7c7c30fb38c300fe8140df30a046a01769105e4cf4282567a29b5cdb635b66c4", size = 309551 },
-    { url = "https://files.pythonhosted.org/packages/a5/2f/d0ced2050a203241a3f2e05c5bb86038b071f216897defd824dd85333f9e/yarl-1.16.0-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:e49e0fd86c295e743fd5be69b8b0712f70a686bc79a16e5268386c2defacaade", size = 317678 },
-    { url = "https://files.pythonhosted.org/packages/46/93/b7359aa2bd0567eca72491cd20059744ed6ee00f08cd58c861243f656a90/yarl-1.16.0-cp310-cp310-musllinux_1_2_armv7l.whl", hash = "sha256:b9ca7b9147eb1365c8bab03c003baa1300599575effad765e0b07dd3501ea9af", size = 317003 },
-    { url = "https://files.pythonhosted.org/packages/87/18/77ef4d45d19ecafad0f7c07d5cf13a757a90122383494bc5a3e8ee68e2f2/yarl-1.16.0-cp310-cp310-musllinux_1_2_i686.whl", hash = "sha256:27e11db3f1e6a51081a981509f75617b09810529de508a181319193d320bc5c7", size = 322795 },
-    { url = "https://files.pythonhosted.org/packages/28/a9/b38880bf79665d1c8a3d4c09d6f7a686a50f8c74caf07603a2b8e5314038/yarl-1.16.0-cp310-cp310-musllinux_1_2_ppc64le.whl", hash = "sha256:8994c42f4ca25df5380ddf59f315c518c81df6a68fed5bb0c159c6cb6b92f120", size = 337022 },
-    { url = "https://files.pythonhosted.org/packages/e9/79/865788b297fc17117e3ff6ea74d5f864185085d61adc3364444732095254/yarl-1.16.0-cp310-cp310-musllinux_1_2_s390x.whl", hash = "sha256:542fa8e09a581bcdcbb30607c7224beff3fdfb598c798ccd28a8184ffc18b7eb", size = 338357 },
-    { url = "https://files.pythonhosted.org/packages/bd/5e/c5cba528448f73c7035c9d3c07261b54312d8caa8372eeeff5e1f07e43ec/yarl-1.16.0-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:2bd6a51010c7284d191b79d3b56e51a87d8e1c03b0902362945f15c3d50ed46b", size = 330470 },
-    { url = "https://files.pythonhosted.org/packages/1a/e4/90757595d81ec328ad94afa62d0724903a6c72b76e0ee9c9af9d8a399dd2/yarl-1.16.0-cp310-cp310-win32.whl", hash = "sha256:178ccb856e265174a79f59721031060f885aca428983e75c06f78aa24b91d929", size = 82967 },
-    { url = "https://files.pythonhosted.org/packages/01/5a/b82ec5e7557b0d938b9475cbb5dcbb1f98c8601101188d79e423dc215cd0/yarl-1.16.0-cp310-cp310-win_amd64.whl", hash = "sha256:fe8bba2545427418efc1929c5c42852bdb4143eb8d0a46b09de88d1fe99258e7", size = 89159 },
-    { url = "https://files.pythonhosted.org/packages/0a/00/b29affe83de95e403f8a2a669b5a33f1e7dfe686264008100052eb0b05fd/yarl-1.16.0-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:d8643975a0080f361639787415a038bfc32d29208a4bf6b783ab3075a20b1ef3", size = 140120 },
-    { url = "https://files.pythonhosted.org/packages/3f/22/bcc9799950281a5d4f646536854839ccdbb965e900827ef0750680f81faf/yarl-1.16.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:676d96bafc8c2d0039cea0cd3fd44cee7aa88b8185551a2bb93354668e8315c2", size = 92956 },
-    { url = "https://files.pythonhosted.org/packages/33/0f/1b76d853d9d921d68bd9991648be17d34e7ac51e2e20e7658f8ee7e2e2ad/yarl-1.16.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:d9525f03269e64310416dbe6c68d3b23e5d34aaa8f47193a1c45ac568cecbc49", size = 90891 },
-    { url = "https://files.pythonhosted.org/packages/61/19/3666d990c24aae98c748e2c262adc9b3a71e38834df007ac5317f4bbd789/yarl-1.16.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8b37d5ec034e668b22cf0ce1074d6c21fd2a08b90d11b1b73139b750a8b0dd97", size = 338857 },
-    { url = "https://files.pythonhosted.org/packages/a0/3d/54acbb3cdfcfea03d6a3535cff1e060a2de23e419a4e3955c9661171b8a8/yarl-1.16.0-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:4f32c4cb7386b41936894685f6e093c8dfaf0960124d91fe0ec29fe439e201d0", size = 354005 },
-    { url = "https://files.pythonhosted.org/packages/15/98/cd9fe3938422c88775c94578a6c145aca89ff8368ff64e6032213ac12403/yarl-1.16.0-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:5b8e265a0545637492a7e12fd7038370d66c9375a61d88c5567d0e044ded9202", size = 351195 },
-    { url = "https://files.pythonhosted.org/packages/e2/13/b6eff6ea1667aee948ecd6b1c8fb6473234f8e48f49af97be93251869c51/yarl-1.16.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:789a3423f28a5fff46fbd04e339863c169ece97c827b44de16e1a7a42bc915d2", size = 342789 },
-    { url = "https://files.pythonhosted.org/packages/fe/05/d98e65ea74a7e44bb033b2cf5bcc16edc1d5212bdc5ca7fbb5e380d89f8e/yarl-1.16.0-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:f1d1f45e3e8d37c804dca99ab3cf4ab3ed2e7a62cd82542924b14c0a4f46d243", size = 336478 },
-    { url = "https://files.pythonhosted.org/packages/7d/47/43de2e94b75f36d84733a35c807d0e33aaf084e98f32e2cbc685102f4ba4/yarl-1.16.0-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:621280719c4c5dad4c1391160a9b88925bb8b0ff6a7d5af3224643024871675f", size = 346008 },
-    { url = "https://files.pythonhosted.org/packages/e2/de/9c2f900ec5e2f2e20329cfe7dcd9452e326d08cb5ecd098c2d4e9987b65c/yarl-1.16.0-cp311-cp311-musllinux_1_2_armv7l.whl", hash = "sha256:ed097b26f18a1f5ff05f661dc36528c5f6735ba4ce8c9645e83b064665131349", size = 343745 },
-    { url = "https://files.pythonhosted.org/packages/56/cd/b014dce22e37b77caa37f998c6c47434fd78d01e7be07119629f369f5ee1/yarl-1.16.0-cp311-cp311-musllinux_1_2_i686.whl", hash = "sha256:2f1fe2b2e3ee418862f5ebc0c0083c97f6f6625781382f828f6d4e9b614eba9b", size = 349705 },
-    { url = "https://files.pythonhosted.org/packages/07/17/bb191a26f7189423964e008ccb5146ce5258454ef3979f9d4c6860d282c7/yarl-1.16.0-cp311-cp311-musllinux_1_2_ppc64le.whl", hash = "sha256:87dd10bc0618991c66cee0cc65fa74a45f4ecb13bceec3c62d78ad2e42b27a16", size = 360767 },
-    { url = "https://files.pythonhosted.org/packages/19/09/7d777369e151991b708a5b35280ea7444621d65af5f0545bcdce5d840867/yarl-1.16.0-cp311-cp311-musllinux_1_2_s390x.whl", hash = "sha256:4199db024b58a8abb2cfcedac7b1292c3ad421684571aeb622a02f242280e8d6", size = 364755 },
-    { url = "https://files.pythonhosted.org/packages/00/32/7558997d1d2e53dab15f6db5db49fc6b412b63ede3cb8314e5dd7cff14fe/yarl-1.16.0-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:99a9dcd4b71dd5f5f949737ab3f356cfc058c709b4f49833aeffedc2652dac56", size = 357087 },
-    { url = "https://files.pythonhosted.org/packages/28/20/c49a95a30c57224e5fb0fc83235295684b041300ce508b71821cb042527d/yarl-1.16.0-cp311-cp311-win32.whl", hash = "sha256:a9394c65ae0ed95679717d391c862dece9afacd8fa311683fc8b4362ce8a410c", size = 83030 },
-    { url = "https://files.pythonhosted.org/packages/75/e3/2a746721d6f32886d9bafccdb80174349f180ccae0a287f25ba4312a2618/yarl-1.16.0-cp311-cp311-win_amd64.whl", hash = "sha256:5b9101f528ae0f8f65ac9d64dda2bb0627de8a50344b2f582779f32fda747c1d", size = 89616 },
-    { url = "https://files.pythonhosted.org/packages/3a/be/82f696c8ce0395c37f62b955202368086e5cc114d5bb9cb1b634cff5e01d/yarl-1.16.0-cp312-cp312-macosx_10_13_universal2.whl", hash = "sha256:4ffb7c129707dd76ced0a4a4128ff452cecf0b0e929f2668ea05a371d9e5c104", size = 141230 },
-    { url = "https://files.pythonhosted.org/packages/38/60/45caaa748b53c4b0964f899879fcddc41faa4e0d12c6f0ae3311e8c151ff/yarl-1.16.0-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:1a5e9d8ce1185723419c487758d81ac2bde693711947032cce600ca7c9cda7d6", size = 93515 },
-    { url = "https://files.pythonhosted.org/packages/54/bd/33aaca2f824dc1d630729e16e313797e8b24c8f7b6803307e5394274e443/yarl-1.16.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:d743e3118b2640cef7768ea955378c3536482d95550222f908f392167fe62059", size = 91441 },
-    { url = "https://files.pythonhosted.org/packages/af/fa/1ce8ca85489925aabdb8d2e7bbeaf74e7d3e6ac069779d6d6b9c7c62a8ed/yarl-1.16.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:26768342f256e6e3c37533bf9433f5f15f3e59e3c14b2409098291b3efaceacb", size = 330871 },
-    { url = "https://files.pythonhosted.org/packages/f1/2a/a8110a225e498b87315827f8b61d24de35f86041834cf8c9c5544380c46b/yarl-1.16.0-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:d1b0796168b953bca6600c5f97f5ed407479889a36ad7d17183366260f29a6b9", size = 340641 },
-    { url = "https://files.pythonhosted.org/packages/d0/64/20cd1cb1f60b3ff49e7d75c1a2083352e7c5939368aafa960712c9e53797/yarl-1.16.0-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:858728086914f3a407aa7979cab743bbda1fe2bdf39ffcd991469a370dd7414d", size = 340245 },
-    { url = "https://files.pythonhosted.org/packages/77/a8/7f38bbefb22eb925a68ad1d8193b05f51515614a6c0ebcadf26e9ae5e5ad/yarl-1.16.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5570e6d47bcb03215baf4c9ad7bf7c013e56285d9d35013541f9ac2b372593e7", size = 336054 },
-    { url = "https://files.pythonhosted.org/packages/b4/a6/ac633ea3ea0c4eb1057e6800db1d077e77493b4b3449a4a97b2fbefadef4/yarl-1.16.0-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:66ea8311422a7ba1fc79b4c42c2baa10566469fe5a78500d4e7754d6e6db8724", size = 324405 },
-    { url = "https://files.pythonhosted.org/packages/93/cd/4fc87ce9b0df7afb610ffb904f4aef25f59e0ad40a49da19a475facf98b7/yarl-1.16.0-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:649bddcedee692ee8a9b7b6e38582cb4062dc4253de9711568e5620d8707c2a3", size = 342235 },
-    { url = "https://files.pythonhosted.org/packages/9f/bc/38bae4b716da1206849d88e167d3d2c5695ae9b418a3915220947593e5ca/yarl-1.16.0-cp312-cp312-musllinux_1_2_armv7l.whl", hash = "sha256:3a91654adb7643cb21b46f04244c5a315a440dcad63213033826549fa2435f71", size = 340835 },
-    { url = "https://files.pythonhosted.org/packages/dc/0f/b9efbc0075916a450cbad41299dff3bdd3393cb1d8378bb831c4a6a836e1/yarl-1.16.0-cp312-cp312-musllinux_1_2_i686.whl", hash = "sha256:b439cae82034ade094526a8f692b9a2b5ee936452de5e4c5f0f6c48df23f8604", size = 344323 },
-    { url = "https://files.pythonhosted.org/packages/87/6d/dc483ea1574005f14ef4c5f5f726cf60327b07ac83bd417d98db23e5285f/yarl-1.16.0-cp312-cp312-musllinux_1_2_ppc64le.whl", hash = "sha256:571f781ae8ac463ce30bacebfaef2c6581543776d5970b2372fbe31d7bf31a07", size = 355112 },
-    { url = "https://files.pythonhosted.org/packages/10/22/3b7c3728d26b3cc295c51160ae4e2612ab7d3f9df30beece44bf72861730/yarl-1.16.0-cp312-cp312-musllinux_1_2_s390x.whl", hash = "sha256:aa7943f04f36d6cafc0cf53ea89824ac2c37acbdb4b316a654176ab8ffd0f968", size = 361506 },
-    { url = "https://files.pythonhosted.org/packages/ad/8d/b7b5d43cf22a020b564ddf7502d83df150d797e34f18f6bf5fe0f12cbd91/yarl-1.16.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:1a5cf32539373ff39d97723e39a9283a7277cbf1224f7aef0c56c9598b6486c3", size = 355746 },
-    { url = "https://files.pythonhosted.org/packages/d9/a6/a2098bf3f09d38eb540b2b192e180d9d41c2ff64b692783db2188f0a55e3/yarl-1.16.0-cp312-cp312-win32.whl", hash = "sha256:a5b6c09b9b4253d6a208b0f4a2f9206e511ec68dce9198e0fbec4f160137aa67", size = 82675 },
-    { url = "https://files.pythonhosted.org/packages/ed/a6/0a54b382cfc336e772b72681d6816a99222dc2d21876e649474973b8d244/yarl-1.16.0-cp312-cp312-win_amd64.whl", hash = "sha256:1208ca14eed2fda324042adf8d6c0adf4a31522fa95e0929027cd487875f0240", size = 88986 },
-    { url = "https://files.pythonhosted.org/packages/fb/f7/87a32867ddc1a9817018bfd6109ee57646a543acf0d272843d8393e575f9/yarl-1.16.0-py3-none-any.whl", hash = "sha256:e6980a558d8461230c457218bd6c92dfc1d10205548215c2c21d79dc8d0a96f3", size = 43746 },
+    { url = "https://files.pythonhosted.org/packages/d2/98/e005bc608765a8a5569f58e650961314873c8469c333616eb40bff19ae97/yarl-1.18.3-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:7df647e8edd71f000a5208fe6ff8c382a1de8edfbccdbbfe649d263de07d8c34", size = 141458 },
+    { url = "https://files.pythonhosted.org/packages/df/5d/f8106b263b8ae8a866b46d9be869ac01f9b3fb7f2325f3ecb3df8003f796/yarl-1.18.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:c69697d3adff5aa4f874b19c0e4ed65180ceed6318ec856ebc423aa5850d84f7", size = 94365 },
+    { url = "https://files.pythonhosted.org/packages/56/3e/d8637ddb9ba69bf851f765a3ee288676f7cf64fb3be13760c18cbc9d10bd/yarl-1.18.3-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:602d98f2c2d929f8e697ed274fbadc09902c4025c5a9963bf4e9edfc3ab6f7ed", size = 92181 },
+    { url = "https://files.pythonhosted.org/packages/76/f9/d616a5c2daae281171de10fba41e1c0e2d8207166fc3547252f7d469b4e1/yarl-1.18.3-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c654d5207c78e0bd6d749f6dae1dcbbfde3403ad3a4b11f3c5544d9906969dde", size = 315349 },
+    { url = "https://files.pythonhosted.org/packages/bb/b4/3ea5e7b6f08f698b3769a06054783e434f6d59857181b5c4e145de83f59b/yarl-1.18.3-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:5094d9206c64181d0f6e76ebd8fb2f8fe274950a63890ee9e0ebfd58bf9d787b", size = 330494 },
+    { url = "https://files.pythonhosted.org/packages/55/f1/e0fc810554877b1b67420568afff51b967baed5b53bcc983ab164eebf9c9/yarl-1.18.3-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:35098b24e0327fc4ebdc8ffe336cee0a87a700c24ffed13161af80124b7dc8e5", size = 326927 },
+    { url = "https://files.pythonhosted.org/packages/a9/42/b1753949b327b36f210899f2dd0a0947c0c74e42a32de3f8eb5c7d93edca/yarl-1.18.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3236da9272872443f81fedc389bace88408f64f89f75d1bdb2256069a8730ccc", size = 319703 },
+    { url = "https://files.pythonhosted.org/packages/f0/6d/e87c62dc9635daefb064b56f5c97df55a2e9cc947a2b3afd4fd2f3b841c7/yarl-1.18.3-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:e2c08cc9b16f4f4bc522771d96734c7901e7ebef70c6c5c35dd0f10845270bcd", size = 310246 },
+    { url = "https://files.pythonhosted.org/packages/e3/ef/e2e8d1785cdcbd986f7622d7f0098205f3644546da7919c24b95790ec65a/yarl-1.18.3-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:80316a8bd5109320d38eef8833ccf5f89608c9107d02d2a7f985f98ed6876990", size = 319730 },
+    { url = "https://files.pythonhosted.org/packages/fc/15/8723e22345bc160dfde68c4b3ae8b236e868f9963c74015f1bc8a614101c/yarl-1.18.3-cp310-cp310-musllinux_1_2_armv7l.whl", hash = "sha256:c1e1cc06da1491e6734f0ea1e6294ce00792193c463350626571c287c9a704db", size = 321681 },
+    { url = "https://files.pythonhosted.org/packages/86/09/bf764e974f1516efa0ae2801494a5951e959f1610dd41edbfc07e5e0f978/yarl-1.18.3-cp310-cp310-musllinux_1_2_i686.whl", hash = "sha256:fea09ca13323376a2fdfb353a5fa2e59f90cd18d7ca4eaa1fd31f0a8b4f91e62", size = 324812 },
+    { url = "https://files.pythonhosted.org/packages/f6/4c/20a0187e3b903c97d857cf0272d687c1b08b03438968ae8ffc50fe78b0d6/yarl-1.18.3-cp310-cp310-musllinux_1_2_ppc64le.whl", hash = "sha256:e3b9fd71836999aad54084906f8663dffcd2a7fb5cdafd6c37713b2e72be1760", size = 337011 },
+    { url = "https://files.pythonhosted.org/packages/c9/71/6244599a6e1cc4c9f73254a627234e0dad3883ece40cc33dce6265977461/yarl-1.18.3-cp310-cp310-musllinux_1_2_s390x.whl", hash = "sha256:757e81cae69244257d125ff31663249b3013b5dc0a8520d73694aed497fb195b", size = 338132 },
+    { url = "https://files.pythonhosted.org/packages/af/f5/e0c3efaf74566c4b4a41cb76d27097df424052a064216beccae8d303c90f/yarl-1.18.3-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:b1771de9944d875f1b98a745bc547e684b863abf8f8287da8466cf470ef52690", size = 331849 },
+    { url = "https://files.pythonhosted.org/packages/8a/b8/3d16209c2014c2f98a8f658850a57b716efb97930aebf1ca0d9325933731/yarl-1.18.3-cp310-cp310-win32.whl", hash = "sha256:8874027a53e3aea659a6d62751800cf6e63314c160fd607489ba5c2edd753cf6", size = 84309 },
+    { url = "https://files.pythonhosted.org/packages/fd/b7/2e9a5b18eb0fe24c3a0e8bae994e812ed9852ab4fd067c0107fadde0d5f0/yarl-1.18.3-cp310-cp310-win_amd64.whl", hash = "sha256:93b2e109287f93db79210f86deb6b9bbb81ac32fc97236b16f7433db7fc437d8", size = 90484 },
+    { url = "https://files.pythonhosted.org/packages/40/93/282b5f4898d8e8efaf0790ba6d10e2245d2c9f30e199d1a85cae9356098c/yarl-1.18.3-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:8503ad47387b8ebd39cbbbdf0bf113e17330ffd339ba1144074da24c545f0069", size = 141555 },
+    { url = "https://files.pythonhosted.org/packages/6d/9c/0a49af78df099c283ca3444560f10718fadb8a18dc8b3edf8c7bd9fd7d89/yarl-1.18.3-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:02ddb6756f8f4517a2d5e99d8b2f272488e18dd0bfbc802f31c16c6c20f22193", size = 94351 },
+    { url = "https://files.pythonhosted.org/packages/5a/a1/205ab51e148fdcedad189ca8dd587794c6f119882437d04c33c01a75dece/yarl-1.18.3-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:67a283dd2882ac98cc6318384f565bffc751ab564605959df4752d42483ad889", size = 92286 },
+    { url = "https://files.pythonhosted.org/packages/ed/fe/88b690b30f3f59275fb674f5f93ddd4a3ae796c2b62e5bb9ece8a4914b83/yarl-1.18.3-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d980e0325b6eddc81331d3f4551e2a333999fb176fd153e075c6d1c2530aa8a8", size = 340649 },
+    { url = "https://files.pythonhosted.org/packages/07/eb/3b65499b568e01f36e847cebdc8d7ccb51fff716dbda1ae83c3cbb8ca1c9/yarl-1.18.3-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:b643562c12680b01e17239be267bc306bbc6aac1f34f6444d1bded0c5ce438ca", size = 356623 },
+    { url = "https://files.pythonhosted.org/packages/33/46/f559dc184280b745fc76ec6b1954de2c55595f0ec0a7614238b9ebf69618/yarl-1.18.3-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:c017a3b6df3a1bd45b9fa49a0f54005e53fbcad16633870104b66fa1a30a29d8", size = 354007 },
+    { url = "https://files.pythonhosted.org/packages/af/ba/1865d85212351ad160f19fb99808acf23aab9a0f8ff31c8c9f1b4d671fc9/yarl-1.18.3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:75674776d96d7b851b6498f17824ba17849d790a44d282929c42dbb77d4f17ae", size = 344145 },
+    { url = "https://files.pythonhosted.org/packages/94/cb/5c3e975d77755d7b3d5193e92056b19d83752ea2da7ab394e22260a7b824/yarl-1.18.3-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:ccaa3a4b521b780a7e771cc336a2dba389a0861592bbce09a476190bb0c8b4b3", size = 336133 },
+    { url = "https://files.pythonhosted.org/packages/19/89/b77d3fd249ab52a5c40859815765d35c91425b6bb82e7427ab2f78f5ff55/yarl-1.18.3-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:2d06d3005e668744e11ed80812e61efd77d70bb7f03e33c1598c301eea20efbb", size = 347967 },
+    { url = "https://files.pythonhosted.org/packages/35/bd/f6b7630ba2cc06c319c3235634c582a6ab014d52311e7d7c22f9518189b5/yarl-1.18.3-cp311-cp311-musllinux_1_2_armv7l.whl", hash = "sha256:9d41beda9dc97ca9ab0b9888cb71f7539124bc05df02c0cff6e5acc5a19dcc6e", size = 346397 },
+    { url = "https://files.pythonhosted.org/packages/18/1a/0b4e367d5a72d1f095318344848e93ea70da728118221f84f1bf6c1e39e7/yarl-1.18.3-cp311-cp311-musllinux_1_2_i686.whl", hash = "sha256:ba23302c0c61a9999784e73809427c9dbedd79f66a13d84ad1b1943802eaaf59", size = 350206 },
+    { url = "https://files.pythonhosted.org/packages/b5/cf/320fff4367341fb77809a2d8d7fe75b5d323a8e1b35710aafe41fdbf327b/yarl-1.18.3-cp311-cp311-musllinux_1_2_ppc64le.whl", hash = "sha256:6748dbf9bfa5ba1afcc7556b71cda0d7ce5f24768043a02a58846e4a443d808d", size = 362089 },
+    { url = "https://files.pythonhosted.org/packages/57/cf/aadba261d8b920253204085268bad5e8cdd86b50162fcb1b10c10834885a/yarl-1.18.3-cp311-cp311-musllinux_1_2_s390x.whl", hash = "sha256:0b0cad37311123211dc91eadcb322ef4d4a66008d3e1bdc404808992260e1a0e", size = 366267 },
+    { url = "https://files.pythonhosted.org/packages/54/58/fb4cadd81acdee6dafe14abeb258f876e4dd410518099ae9a35c88d8097c/yarl-1.18.3-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:0fb2171a4486bb075316ee754c6d8382ea6eb8b399d4ec62fde2b591f879778a", size = 359141 },
+    { url = "https://files.pythonhosted.org/packages/9a/7a/4c571597589da4cd5c14ed2a0b17ac56ec9ee7ee615013f74653169e702d/yarl-1.18.3-cp311-cp311-win32.whl", hash = "sha256:61b1a825a13bef4a5f10b1885245377d3cd0bf87cba068e1d9a88c2ae36880e1", size = 84402 },
+    { url = "https://files.pythonhosted.org/packages/ae/7b/8600250b3d89b625f1121d897062f629883c2f45339623b69b1747ec65fa/yarl-1.18.3-cp311-cp311-win_amd64.whl", hash = "sha256:b9d60031cf568c627d028239693fd718025719c02c9f55df0a53e587aab951b5", size = 91030 },
+    { url = "https://files.pythonhosted.org/packages/33/85/bd2e2729752ff4c77338e0102914897512e92496375e079ce0150a6dc306/yarl-1.18.3-cp312-cp312-macosx_10_13_universal2.whl", hash = "sha256:1dd4bdd05407ced96fed3d7f25dbbf88d2ffb045a0db60dbc247f5b3c5c25d50", size = 142644 },
+    { url = "https://files.pythonhosted.org/packages/ff/74/1178322cc0f10288d7eefa6e4a85d8d2e28187ccab13d5b844e8b5d7c88d/yarl-1.18.3-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:7c33dd1931a95e5d9a772d0ac5e44cac8957eaf58e3c8da8c1414de7dd27c576", size = 94962 },
+    { url = "https://files.pythonhosted.org/packages/be/75/79c6acc0261e2c2ae8a1c41cf12265e91628c8c58ae91f5ff59e29c0787f/yarl-1.18.3-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:25b411eddcfd56a2f0cd6a384e9f4f7aa3efee14b188de13048c25b5e91f1640", size = 92795 },
+    { url = "https://files.pythonhosted.org/packages/6b/32/927b2d67a412c31199e83fefdce6e645247b4fb164aa1ecb35a0f9eb2058/yarl-1.18.3-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:436c4fc0a4d66b2badc6c5fc5ef4e47bb10e4fd9bf0c79524ac719a01f3607c2", size = 332368 },
+    { url = "https://files.pythonhosted.org/packages/19/e5/859fca07169d6eceeaa4fde1997c91d8abde4e9a7c018e371640c2da2b71/yarl-1.18.3-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:e35ef8683211db69ffe129a25d5634319a677570ab6b2eba4afa860f54eeaf75", size = 342314 },
+    { url = "https://files.pythonhosted.org/packages/08/75/76b63ccd91c9e03ab213ef27ae6add2e3400e77e5cdddf8ed2dbc36e3f21/yarl-1.18.3-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:84b2deecba4a3f1a398df819151eb72d29bfeb3b69abb145a00ddc8d30094512", size = 341987 },
+    { url = "https://files.pythonhosted.org/packages/1a/e1/a097d5755d3ea8479a42856f51d97eeff7a3a7160593332d98f2709b3580/yarl-1.18.3-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:00e5a1fea0fd4f5bfa7440a47eff01d9822a65b4488f7cff83155a0f31a2ecba", size = 336914 },
+    { url = "https://files.pythonhosted.org/packages/0b/42/e1b4d0e396b7987feceebe565286c27bc085bf07d61a59508cdaf2d45e63/yarl-1.18.3-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:d0e883008013c0e4aef84dcfe2a0b172c4d23c2669412cf5b3371003941f72bb", size = 325765 },
+    { url = "https://files.pythonhosted.org/packages/7e/18/03a5834ccc9177f97ca1bbb245b93c13e58e8225276f01eedc4cc98ab820/yarl-1.18.3-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:5a3f356548e34a70b0172d8890006c37be92995f62d95a07b4a42e90fba54272", size = 344444 },
+    { url = "https://files.pythonhosted.org/packages/c8/03/a713633bdde0640b0472aa197b5b86e90fbc4c5bc05b727b714cd8a40e6d/yarl-1.18.3-cp312-cp312-musllinux_1_2_armv7l.whl", hash = "sha256:ccd17349166b1bee6e529b4add61727d3f55edb7babbe4069b5764c9587a8cc6", size = 340760 },
+    { url = "https://files.pythonhosted.org/packages/eb/99/f6567e3f3bbad8fd101886ea0276c68ecb86a2b58be0f64077396cd4b95e/yarl-1.18.3-cp312-cp312-musllinux_1_2_i686.whl", hash = "sha256:b958ddd075ddba5b09bb0be8a6d9906d2ce933aee81100db289badbeb966f54e", size = 346484 },
+    { url = "https://files.pythonhosted.org/packages/8e/a9/84717c896b2fc6cb15bd4eecd64e34a2f0a9fd6669e69170c73a8b46795a/yarl-1.18.3-cp312-cp312-musllinux_1_2_ppc64le.whl", hash = "sha256:c7d79f7d9aabd6011004e33b22bc13056a3e3fb54794d138af57f5ee9d9032cb", size = 359864 },
+    { url = "https://files.pythonhosted.org/packages/1e/2e/d0f5f1bef7ee93ed17e739ec8dbcb47794af891f7d165fa6014517b48169/yarl-1.18.3-cp312-cp312-musllinux_1_2_s390x.whl", hash = "sha256:4891ed92157e5430874dad17b15eb1fda57627710756c27422200c52d8a4e393", size = 364537 },
+    { url = "https://files.pythonhosted.org/packages/97/8a/568d07c5d4964da5b02621a517532adb8ec5ba181ad1687191fffeda0ab6/yarl-1.18.3-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:ce1af883b94304f493698b00d0f006d56aea98aeb49d75ec7d98cd4a777e9285", size = 357861 },
+    { url = "https://files.pythonhosted.org/packages/7d/e3/924c3f64b6b3077889df9a1ece1ed8947e7b61b0a933f2ec93041990a677/yarl-1.18.3-cp312-cp312-win32.whl", hash = "sha256:f91c4803173928a25e1a55b943c81f55b8872f0018be83e3ad4938adffb77dd2", size = 84097 },
+    { url = "https://files.pythonhosted.org/packages/34/45/0e055320daaabfc169b21ff6174567b2c910c45617b0d79c68d7ab349b02/yarl-1.18.3-cp312-cp312-win_amd64.whl", hash = "sha256:7e2ee16578af3b52ac2f334c3b1f92262f47e02cc6193c598502bd46f5cd1477", size = 90399 },
+    { url = "https://files.pythonhosted.org/packages/f5/4b/a06e0ec3d155924f77835ed2d167ebd3b211a7b0853da1cf8d8414d784ef/yarl-1.18.3-py3-none-any.whl", hash = "sha256:b57f4f58099328dfb26c6a771d09fb20dbbae81d20cfb66141251ea063bd101b", size = 45109 },
 ]

 [[package]]