feat: update tasks config main template typos

.github/ISSUE_TEMPLATE/bug_report.yml

@@ -65,6 +65,7 @@ body:
         - '3.10'
         - '3.11'
         - '3.12'
+        - '3.13'
     validations:
       required: true
   - type: input
@@ -112,4 +113,4 @@ body:
       label: Additional context
       description: Add any other context about the problem here.
     validations:
-      required: true
+      required: true

.github/workflows/tests.yml

@@ -23,7 +23,7 @@ jobs:
 
 
       - name: Set up Python
-        run: uv python install 3.12.8
+        run: uv python install 3.11.9
 
       - name: Install the project
         run: uv sync --dev --all-extras

README.md

@@ -44,7 +44,7 @@ To get started with CrewAI, follow these simple steps:
 
 ### 1. Installation
 
-Ensure you have Python >=3.10 <=3.12 installed on your system. CrewAI uses [UV](https://docs.astral.sh/uv/) for dependency management and package handling, offering a seamless setup and execution experience.
+Ensure you have Python >=3.10 <=3.13 installed on your system. CrewAI uses [UV](https://docs.astral.sh/uv/) for dependency management and package handling, offering a seamless setup and execution experience.
 
 First, install CrewAI:
 

docs/concepts/knowledge.mdx

@@ -8,8 +8,8 @@ icon: book
 
 ## What is Knowledge?
 
-Knowledge in CrewAI is a powerful system that allows AI agents to access and utilize external information sources during their tasks.
+Knowledge in CrewAI is a powerful system that allows AI agents to access and utilize external information sources during their tasks. 
-Think of it as giving your agents a reference library they can consult while working.
+Think of it as giving your agents a reference library they can consult while working. 
 
 <Info>
   Key benefits of using Knowledge:
@@ -47,7 +47,7 @@ from crewai.knowledge.source.string_knowledge_source import StringKnowledgeSourc
 # Create a knowledge source
 content = "Users name is John. He is 30 years old and lives in San Francisco."
 string_source = StringKnowledgeSource(
-    content=content,
+    content=content, 
 )
 
 # Create an LLM with a temperature of 0 to ensure deterministic outputs
@@ -122,6 +122,7 @@ crewai reset-memories --knowledge
 
 This is useful when you've updated your knowledge sources and want to ensure that the agents are using the most recent information.
 
+
 ## Custom Knowledge Sources
 
 CrewAI allows you to create custom knowledge sources for any type of data by extending the `BaseKnowledgeSource` class. Let's create a practical example that fetches and processes space news articles.
@@ -140,10 +141,10 @@ from pydantic import BaseModel, Field
 
 class SpaceNewsKnowledgeSource(BaseKnowledgeSource):
     """Knowledge source that fetches data from Space News API."""
-
+    
     api_endpoint: str = Field(description="API endpoint URL")
     limit: int = Field(default=10, description="Number of articles to fetch")
-
+    
     def load_content(self) -> Dict[Any, str]:
         """Fetch and format space news articles."""
         try:
@@ -151,15 +152,15 @@ class SpaceNewsKnowledgeSource(BaseKnowledgeSource):
                 f"{self.api_endpoint}?limit={self.limit}"
             )
             response.raise_for_status()
-
+            
             data = response.json()
             articles = data.get('results', [])
-
+            
             formatted_data = self._format_articles(articles)
             return {self.api_endpoint: formatted_data}
         except Exception as e:
             raise ValueError(f"Failed to fetch space news: {str(e)}")
-
+    
     def _format_articles(self, articles: list) -> str:
         """Format articles into readable text."""
         formatted = "Space News Articles:\n\n"
@@ -179,7 +180,7 @@ class SpaceNewsKnowledgeSource(BaseKnowledgeSource):
         for _, text in content.items():
             chunks = self._chunk_text(text)
             self.chunks.extend(chunks)
-
+        
         self._save_documents()
 
 # Create knowledge source
@@ -192,7 +193,7 @@ recent_news = SpaceNewsKnowledgeSource(
 space_analyst = Agent(
     role="Space News Analyst",
     goal="Answer questions about space news accurately and comprehensively",
-    backstory="""You are a space industry analyst with expertise in space exploration,
+    backstory="""You are a space industry analyst with expertise in space exploration, 
     satellite technology, and space industry trends. You excel at answering questions
     about space news and providing detailed, accurate information.""",
     knowledge_sources=[recent_news],
@@ -219,14 +220,13 @@ result = crew.kickoff(
     inputs={"user_question": "What are the latest developments in space exploration?"}
 )
 ```
-
 ```output Output
 # Agent: Space News Analyst
 ## Task: Answer this question about space news: What are the latest developments in space exploration?
 
 
 # Agent: Space News Analyst
-## Final Answer:
+## Final Answer: 
 The latest developments in space exploration, based on recent space news articles, include the following:
 
 1. SpaceX has received the final regulatory approvals to proceed with the second integrated Starship/Super Heavy launch, scheduled for as soon as the morning of Nov. 17, 2023. This is a significant step in SpaceX's ambitious plans for space exploration and colonization. [Source: SpaceNews](https://spacenews.com/starship-cleared-for-nov-17-launch/)
@@ -242,13 +242,11 @@ The latest developments in space exploration, based on recent space news article
 6. The National Natural Science Foundation of China has outlined a five-year project for researchers to study the assembly of ultra-large spacecraft. This could lead to significant advancements in spacecraft technology and space exploration capabilities. [Source: SpaceNews](https://spacenews.com/china-researching-challenges-of-kilometer-scale-ultra-large-spacecraft/)
 
 7. The Center for AEroSpace Autonomy Research (CAESAR) at Stanford University is focusing on spacecraft autonomy. The center held a kickoff event on May 22, 2024, to highlight the industry, academia, and government collaboration it seeks to foster. This could lead to significant advancements in autonomous spacecraft technology. [Source: SpaceNews](https://spacenews.com/stanford-center-focuses-on-spacecraft-autonomy/)
-```
+``` 
-
 </CodeGroup>
 #### Key Components Explained
 
 1. **Custom Knowledge Source (`SpaceNewsKnowledgeSource`)**:
-
    - Extends `BaseKnowledgeSource` for integration with CrewAI
    - Configurable API endpoint and article limit
    - Implements three key methods:
@@ -257,12 +255,10 @@ The latest developments in space exploration, based on recent space news article
      - `add()`: Processes and stores the content
 
 2. **Agent Configuration**:
-
    - Specialized role as a Space News Analyst
    - Uses the knowledge source to access space news
 
 3. **Task Setup**:
-
    - Takes a user question as input through `{user_question}`
    - Designed to provide detailed answers based on the knowledge source
 
@@ -271,7 +267,6 @@ The latest developments in space exploration, based on recent space news article
    - Handles input/output through the kickoff method
 
 This example demonstrates how to:
-
 - Create a custom knowledge source that fetches real-time data
 - Process and format external data for AI consumption
 - Use the knowledge source to answer specific user questions
@@ -279,15 +274,13 @@ This example demonstrates how to:
 
 #### About the Spaceflight News API
 
-The example uses the [Spaceflight News API](https://api.spaceflightnewsapi.net/v4/docs/), which:
+The example uses the [Spaceflight News API](https://api.spaceflightnewsapi.net/v4/documentation), which:
-
 - Provides free access to space-related news articles
 - Requires no authentication
 - Returns structured data about space news
 - Supports pagination and filtering
 
 You can customize the API query by modifying the endpoint URL:
-
 ```python
 # Fetch more articles
 recent_news = SpaceNewsKnowledgeSource(
@@ -310,9 +303,9 @@ recent_news = SpaceNewsKnowledgeSource(
     - Consider content overlap for context preservation
     - Organize related information into separate knowledge sources
   </Accordion>
-
+  
   <Accordion title="Performance Tips">
-    - Adjust chunk sizes based on content complexity 
+    - Adjust chunk sizes based on content complexity
     - Configure appropriate embedding models
     - Consider using local embedding providers for faster processing
   </Accordion>

docs/concepts/tools.mdx

@@ -172,48 +172,6 @@ def my_tool(question: str) -> str:
     return "Result from your custom tool"
 ```
 
-### Structured Tools
-
-The `StructuredTool` class wraps functions as tools, providing flexibility and validation while reducing boilerplate. It supports custom schemas and dynamic logic for seamless integration of complex functionalities.
-
-#### Example:
-Using `StructuredTool.from_function`, you can wrap a function that interacts with an external API or system, providing a structured interface. This enables robust validation and consistent execution, making it easier to integrate complex functionalities into your applications as demonstrated in the following example:
-
-```python
-from crewai.tools.structured_tool import CrewStructuredTool
-from pydantic import BaseModel
-
-# Define the schema for the tool's input using Pydantic
-class APICallInput(BaseModel):
-    endpoint: str
-    parameters: dict
-
-# Wrapper function to execute the API call
-def tool_wrapper(*args, **kwargs):
-    # Here, you would typically call the API using the parameters
-    # For demonstration, we'll return a placeholder string
-    return f"Call the API at {kwargs['endpoint']} with parameters {kwargs['parameters']}"
-
-# Create and return the structured tool
-def create_structured_tool():
-    return CrewStructuredTool.from_function(
-        name='Wrapper API',
-        description="A tool to wrap API calls with structured input.",
-        args_schema=APICallInput,
-        func=tool_wrapper,
-    )
-
-# Example usage
-structured_tool = create_structured_tool()
-
-# Execute the tool with structured input
-result = structured_tool._run(**{
-    "endpoint": "https://example.com/api",
-    "parameters": {"key1": "value1", "key2": "value2"}
-})
-print(result)  # Output: Call the API at https://example.com/api with parameters {'key1': 'value1', 'key2': 'value2'}
-```
-
 ### Custom Caching Mechanism
 
 <Tip>

docs/installation.mdx

@@ -7,7 +7,7 @@ icon: wrench
 <Note>
   **Python Version Requirements**
   
-  CrewAI requires `Python >=3.10 and <=3.12`. Here's how to check your version:
+  CrewAI requires `Python >=3.10 and <=3.13`. Here's how to check your version:
   ```bash
   python3 --version
   ```

pyproject.toml

@@ -3,7 +3,7 @@ name = "crewai"
 version = "0.86.0"
 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,<=3.12"
+requires-python = ">=3.10,<=3.13"
 authors = [
     { name = "Joao Moura", email = "joao@crewai.com" }
 ]

src/crewai/agents/crew_agent_executor.py

@@ -143,9 +143,6 @@ class CrewAgentExecutor(CrewAgentExecutorMixin):
                         tool_result = self._execute_tool_and_check_finality(
                             formatted_answer
                         )
-                        if self.step_callback:
-                          self.step_callback(tool_result)
-
                         formatted_answer.text += f"\nObservation: {tool_result.result}"
                         formatted_answer.result = tool_result.result
                         if tool_result.result_as_answer:
@@ -302,7 +299,7 @@ class CrewAgentExecutor(CrewAgentExecutorMixin):
                         self._i18n.slice("summarizer_system_message"), role="system"
                     ),
                     self._format_msg(
-                        self._i18n.slice("summarize_instruction").format(group=group),
+                        self._i18n.slice("sumamrize_instruction").format(group=group),
                     ),
                 ],
                 callbacks=self.callbacks,

src/crewai/cli/templates/crew/README.md

@@ -4,7 +4,7 @@ Welcome to the {{crew_name}} Crew project, powered by [crewAI](https://crewai.co
 
 ## Installation
 
-Ensure you have Python >=3.10 <=3.12 installed on your system. This project uses [UV](https://docs.astral.sh/uv/) for dependency management and package handling, offering a seamless setup and execution experience.
+Ensure you have Python >=3.10 <=3.13 installed on your system. This project uses [UV](https://docs.astral.sh/uv/) for dependency management and package handling, offering a seamless setup and execution experience.
 
 First, if you haven't already, install uv:
 

src/crewai/cli/templates/crew/pyproject.toml

@@ -3,7 +3,7 @@ name = "{{folder_name}}"
 version = "0.1.0"
 description = "{{name}} using crewAI"
 authors = [{ name = "Your Name", email = "you@example.com" }]
-requires-python = ">=3.10,<=3.12"
+requires-python = ">=3.10,<=3.13"
 dependencies = [
     "crewai[tools]>=0.86.0,<1.0.0"
 ]

src/crewai/cli/templates/flow/README.md

@@ -4,7 +4,7 @@ Welcome to the {{crew_name}} Crew project, powered by [crewAI](https://crewai.co
 
 ## Installation
 
-Ensure you have Python >=3.10 <=3.12 installed on your system. This project uses [UV](https://docs.astral.sh/uv/) for dependency management and package handling, offering a seamless setup and execution experience.
+Ensure you have Python >=3.10 <=3.13 installed on your system. This project uses [UV](https://docs.astral.sh/uv/) for dependency management and package handling, offering a seamless setup and execution experience.
 
 First, if you haven't already, install uv:
 

src/crewai/cli/templates/flow/pyproject.toml

@@ -3,7 +3,7 @@ name = "{{folder_name}}"
 version = "0.1.0"
 description = "{{name}} using crewAI"
 authors = [{ name = "Your Name", email = "you@example.com" }]
-requires-python = ">=3.10,<=3.12"
+requires-python = ">=3.10,<=3.13"
 dependencies = [
     "crewai[tools]>=0.86.0,<1.0.0",
 ]

src/crewai/cli/templates/pipeline/pyproject.toml

@@ -0,0 +1,17 @@
+[tool.poetry]
+name = "{{folder_name}}"
+version = "0.1.0"
+description = "{{name}} using crewAI"
+authors = ["Your Name <you@example.com>"]
+
+[tool.poetry.dependencies]
+python = ">=3.10,<=3.13"
+crewai = { extras = ["tools"], version = ">=0.86.0,<1.0.0" }
+asyncio = "*"
+
+[tool.poetry.scripts]
+{{folder_name}} = "{{folder_name}}.main:main"
+
+[build-system]
+requires = ["poetry-core"]
+build-backend = "poetry.core.masonry.api"

src/crewai/cli/templates/tool/README.md

@@ -5,7 +5,7 @@ custom tools to power up your crews.
 
 ## Installing
 
-Ensure you have Python >=3.10 <=3.12 installed on your system. This project
+Ensure you have Python >=3.10 <=3.13 installed on your system. This project
 uses [UV](https://docs.astral.sh/uv/) for dependency management and package
 handling, offering a seamless setup and execution experience.
 

src/crewai/cli/templates/tool/pyproject.toml

@@ -3,7 +3,7 @@ name = "{{folder_name}}"
 version = "0.1.0"
 description = "Power up your crews with {{folder_name}}"
 readme = "README.md"
-requires-python = ">=3.10,<=3.12"
+requires-python = ">=3.10,<=3.13"
 dependencies = [
     "crewai[tools]>=0.86.0"
 ]

src/crewai/cli/utils.py

@@ -33,6 +33,26 @@ def copy_template(src, dst, name, class_name, folder_name):
     click.secho(f"  - Created {dst}", fg="green")
 
 
+# Drop the simple_toml_parser when we move to python3.11
+def simple_toml_parser(content):
+    result = {}
+    current_section = result
+    for line in content.split("\n"):
+        line = line.strip()
+        if line.startswith("[") and line.endswith("]"):
+            # New section
+            section = line[1:-1].split(".")
+            current_section = result
+            for key in section:
+                current_section = current_section.setdefault(key, {})
+        elif "=" in line:
+            key, value = line.split("=", 1)
+            key = key.strip()
+            value = value.strip().strip('"')
+            current_section[key] = value
+    return result
+
+
 def read_toml(file_path: str = "pyproject.toml"):
     """Read the content of a TOML file and return it as a dictionary."""
     with open(file_path, "rb") as f:
@@ -43,7 +63,7 @@ def read_toml(file_path: str = "pyproject.toml"):
 def parse_toml(content):
     if sys.version_info >= (3, 11):
         return tomllib.loads(content)
-    return tomli.loads(content)
+    return simple_toml_parser(content)
 
 
 def get_project_name(

src/crewai/knowledge/storage/knowledge_storage.py

@@ -3,7 +3,6 @@ import hashlib
 import io
 import logging
 import os
-import shutil
 from typing import Any, Dict, List, Optional, Union, cast
 
 import chromadb
@@ -16,7 +15,6 @@ from crewai.knowledge.storage.base_knowledge_storage import BaseKnowledgeStorage
 from crewai.utilities import EmbeddingConfigurator
 from crewai.utilities.logger import Logger
 from crewai.utilities.paths import db_storage_path
-from crewai.utilities.constants import KNOWLEDGE_DIRECTORY
 
 
 @contextlib.contextmanager
@@ -107,17 +105,15 @@ class KnowledgeStorage(BaseKnowledgeStorage):
             raise Exception("Failed to create or get collection")
 
     def reset(self):
-        base_path = os.path.join(db_storage_path(), KNOWLEDGE_DIRECTORY)
+        if self.app:
-        if not self.app:
+            self.app.reset()
+        else:
+            base_path = os.path.join(db_storage_path(), "knowledge")
             self.app = chromadb.PersistentClient(
                 path=base_path,
                 settings=Settings(allow_reset=True),
             )
-
+            self.app.reset()
-        self.app.reset()
-        shutil.rmtree(base_path)
-        self.app = None
-        self.collection = None
 
     def save(
         self,

src/crewai/memory/storage/rag_storage.py

@@ -150,11 +150,9 @@ class RAGStorage(BaseRAGStorage):
 
     def reset(self) -> None:
         try:
+            shutil.rmtree(f"{db_storage_path()}/{self.type}")
             if self.app:
                 self.app.reset()
-                shutil.rmtree(f"{db_storage_path()}/{self.type}")
-                self.app = None
-                self.collection = None
         except Exception as e:
             if "attempt to write a readonly database" in str(e):
                 # Ignore this specific error

src/crewai/memory/user/user_memory.py

@@ -37,7 +37,7 @@ class UserMemory(Memory):
         limit: int = 3,
         score_threshold: float = 0.35,
     ):
-        results = self.storage.search(
+        results = super().search(
             query=query,
             limit=limit,
             score_threshold=score_threshold,

src/crewai/project/annotations.py

@@ -66,8 +66,6 @@ def cache_handler(func):
 
 
 def crew(func) -> Callable[..., Crew]:
-
-    @wraps(func)
     def wrapper(self, *args, **kwargs) -> Crew:
         instantiated_tasks = []
         instantiated_agents = []

src/crewai/project/crew_base.py

@@ -213,8 +213,4 @@ def CrewBase(cls: T) -> T:
                     callback_functions[callback]() for callback in callbacks
                 ]
 
-    # 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)

src/crewai/project/utils.py

@@ -1,13 +1,11 @@
-from functools import wraps
-
 def memoize(func):
     cache = {}
 
-    @wraps(func)
     def memoized_func(*args, **kwargs):
         key = (args, tuple(kwargs.items()))
         if key not in cache:
             cache[key] = func(*args, **kwargs)
         return cache[key]
 
+    memoized_func.__dict__.update(func.__dict__)
     return memoized_func

src/crewai/task.py

@@ -1,6 +1,6 @@
 import datetime
 import json
-from pathlib import Path
+import os
 import threading
 import uuid
 from concurrent.futures import Future
@@ -393,13 +393,12 @@ class Task(BaseModel):
         if self.output_file is None:
             raise ValueError("output_file is not set.")
 
-        resolved_path = Path(self.output_file).expanduser().resolve()
+        directory = os.path.dirname(self.output_file)  # type: ignore # Value of type variable "AnyOrLiteralStr" of "dirname" cannot be "str | None"
-        directory = resolved_path.parent
 
-        if not directory.exists():
+        if directory and not os.path.exists(directory):
-            directory.mkdir(parents=True, exist_ok=True)
+            os.makedirs(directory)
 
-        with resolved_path.open("w", encoding="utf-8") as file:
+        with open(self.output_file, "w", encoding="utf-8") as file:
             if isinstance(result, dict):
                 import json
 

src/crewai/translations/en.json

@@ -19,7 +19,7 @@
     "human_feedback": "You got human feedback on your work, re-evaluate it and give a new Final Answer when ready.\n {human_feedback}",
     "getting_input": "This is the agent's final answer: {final_answer}\n\n",
     "summarizer_system_message": "You are a helpful assistant that summarizes text.",
-    "summarize_instruction": "Summarize the following text, make sure to include all the important information: {group}",
+    "sumamrize_instruction": "Summarize the following text, make sure to include all the important information: {group}",
     "summary": "This is a summary of our conversation so far:\n{merged_summary}",
     "manager_request": "Your best answer to your coworker asking you this, accounting for the context shared.",
     "formatted_task_instructions": "Ensure your final answer contains only the content in the following format: {output_format}\n\nEnsure the final output does not include any code block markers like ```json or ```python.",

tests/cassettes/test_crew_kickoff_usage_metrics.yaml

@@ -28,13 +28,13 @@ interactions:
       user-agent:
       - OpenAI/Python 1.52.1
       x-stainless-arch:
-      - arm64
+      - x64
       x-stainless-async:
       - 'false'
       x-stainless-lang:
       - python
       x-stainless-os:
-      - MacOS
+      - Linux
       x-stainless-package-version:
       - 1.52.1
       x-stainless-raw-response:
@@ -44,27 +44,26 @@ interactions:
       x-stainless-runtime:
       - CPython
       x-stainless-runtime-version:
-      - 3.12.7
+      - 3.11.9
     method: POST
     uri: https://api.openai.com/v1/chat/completions
   response:
-    content: "{\n  \"id\": \"chatcmpl-AcdAr57gPSeXoBUvpM7ihR5ocSg8K\",\n  \"object\":
+    body:
-      \"chat.completion\",\n  \"created\": 1733770413,\n  \"model\": \"gpt-4o-mini-2024-07-18\",\n
+      string: !!binary |
-      \ \"choices\": [\n    {\n      \"index\": 0,\n      \"message\": {\n        \"role\":
+        H4sIAAAAAAAAA4xSy27bMBC86ysWPEuB7ciV7VuAIkUObQ+59QFhTa0kttQuS9Jx08D/XkhyLAVJ
-      \"assistant\",\n        \"content\": \"I now can give a great answer  \\nFinal
+        gV4EaGdnMLPDpwRAmUrtQOkWo+6czW7u41q2t3+cvCvuPvxafSG+58XHTzXlxWeV9gzZ/yAdn1lX
-      Answer: Dogs are loyal companions, enhancing human lives with love and joy.\",\n
+        WjpnKRrhEdaeMFKvuiyul3m+uV7lA9BJRbanNS5muWSdYZOtFqs8WxTZcnNmt2I0BbWDrwkAwNPw
-      \       \"refusal\": null\n      },\n      \"logprobs\": null,\n      \"finish_reason\":
+        7X1yRb/VDhbp86SjELAhtbssASgvtp8oDMGEiBxVOoFaOBIP1u+A5QgaGRrzQIDQ9LYBORzJA3zj
-      \"stop\"\n    }\n  ],\n  \"usage\": {\n    \"prompt_tokens\": 175,\n    \"completion_tokens\":
+        W8No4Wb438F7aQKgJ7DyiBb6zMhGOKRA3CJrww10xBEttIQ2toBcgTyQR2vhSNZmezLcXM39eKoP
-      24,\n    \"total_tokens\": 199,\n    \"prompt_tokens_details\": {\n      \"cached_tokens\":
+        Afub8MHa8/x0CWilcV724Yxf5rVhE9rSEwbhPkyI4tSAnhKA78MhDy9uo5yXzsUyyk/iMHSzHvXU
-      0,\n      \"audio_tokens\": 0\n    },\n    \"completion_tokens_details\": {\n
+        1N+Ejo0BqCgR7Yy13aZv6JUVRTQ2zKpQGnVL1USdesNDZWQGJLPUr928pT0mN9z8j/wEaE0uUlU6
-      \     \"reasoning_tokens\": 0,\n      \"audio_tokens\": 0,\n      \"accepted_prediction_tokens\":
+        T5XRLxNPa5765/2vtcuVB8MqPIZIXVkbbsg7b8bHVbuyXm9xs8xXRa2SU/IXAAD//wMAq2ZCBWoD
-      0,\n      \"rejected_prediction_tokens\": 0\n    }\n  },\n  \"system_fingerprint\":
+        AAA=
-      \"fp_bba3c8e70b\"\n}\n"
     headers:
       CF-Cache-Status:
       - DYNAMIC
       CF-RAY:
-      - 8ef732d93c754554-ATL
+      - 8e19bf36db158761-GRU
       Connection:
       - keep-alive
       Content-Encoding:
@@ -72,14 +71,14 @@ interactions:
       Content-Type:
       - application/json
       Date:
-      - Mon, 09 Dec 2024 18:53:33 GMT
+      - Tue, 12 Nov 2024 21:52:04 GMT
       Server:
       - cloudflare
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-      \"chat.completion\",\n  \"created\": 1733770454,\n  \"model\": \"gpt-4o-mini-2024-07-18\",\n
+      string: !!binary |
-      \ \"choices\": [\n    {\n      \"index\": 0,\n      \"message\": {\n        \"role\":
+        H4sIAAAAAAAAA4xSy27bMBC86yu2PFuBZAt14UvRU5MA7aVAEKAIBJpcSUwoLkuu6jiB/z3QI5aM
-      \"assistant\",\n        \"content\": \"Hello! It\u2019s great to connect with
+        tkAvPMzsDGZ2+ZoACKPFDoRqJKvW2/TLD3+z//oiD8dfL7d339zvW125x9zX90/3mVj1Cto/ouJ3
-      you. How can I assist you today?\",\n        \"refusal\": null\n      },\n      \"logprobs\":
+        1ZWi1ltkQ26kVUDJ2Lvm201ebDbbIh+IljTaXlZ7TgtKW+NMus7WRZpt0/zTpG7IKIxiBz8TAIDX
-      null,\n      \"finish_reason\": \"stop\"\n    }\n  ],\n  \"usage\": {\n    \"prompt_tokens\":
+        4e1zOo3PYgfZ6h1pMUZZo9idhwBEINsjQsZoIkvHYjWTihyjG6Jfo7X0Ab4bhcAEipxDxXAw3IB0
-      14,\n    \"completion_tokens\": 17,\n    \"total_tokens\": 31,\n    \"prompt_tokens_details\":
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-      {\n      \"cached_tokens\": 0,\n      \"audio_tokens\": 0\n    },\n    \"completion_tokens_details\":
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-      {\n      \"reasoning_tokens\": 0,\n      \"audio_tokens\": 0,\n      \"accepted_prediction_tokens\":
+        kJ02tCCSRec/w/zNe+xtXP0/9jOhFHpGXfqA2qjLwvNYwP6n/mvsvOMhsIjHyNiWlXE1Bh/M+E8q
-      0,\n      \"rejected_prediction_tokens\": 0\n    }\n  },\n  \"system_fingerprint\":
+        X2Z7mel8XVS5SE7JGwAAAP//AwA/cK4yNQMAAA==
-      \"fp_bba3c8e70b\"\n}\n"
     headers:
       CF-Cache-Status:
       - DYNAMIC
       CF-RAY:
-      - 8ef733d7bc41bada-ATL
+      - 8e185b31398a0303-GRU
       Connection:
       - keep-alive
       Content-Encoding:
@@ -167,7 +166,7 @@ interactions:
       Content-Type:
       - application/json
       Date:
-      - Mon, 09 Dec 2024 18:54:14 GMT
+      - Tue, 12 Nov 2024 17:49:02 GMT
       Server:
       - cloudflare
       Transfer-Encoding:
@@ -179,27 +178,28 @@ interactions:
       alt-svc:
       - h3=":443"; ma=86400
       openai-organization:
-      - crewai-iuxna1
+      - user-tqfegqsiobpvvjmn0giaipdq
       openai-processing-ms:
-      - '659'
+      - '889'
       openai-version:
       - '2020-10-01'
       strict-transport-security:
       - max-age=31536000; includeSubDomains; preload
       x-ratelimit-limit-requests:
-      - '30000'
+      - '10000'
       x-ratelimit-limit-tokens:
-      - '150000000'
+      - '200000'
       x-ratelimit-remaining-requests:
-      - '29999'
+      - '9998'
       x-ratelimit-remaining-tokens:
-      - '149999974'
+      - '199975'
       x-ratelimit-reset-requests:
-      - 2ms
+      - 16.489s
       x-ratelimit-reset-tokens:
-      - 0s
+      - 7ms
       x-request-id:
-      - req_da24049df911504f5102825db6b4aea9
+      - req_bde3810b36a4859688e53d1df64bdd20
-    http_version: HTTP/1.1
+    status:
-    status_code: 200
+      code: 200
+      message: OK
 version: 1

tests/cli/deploy/test_deploy_main.py

@@ -228,18 +228,17 @@ class TestDeployCommand(unittest.TestCase):
         "builtins.open",
         new_callable=unittest.mock.mock_open,
         read_data="""
-        [project]
+    [project]
-        name = "test_project"
+    name = "test_project"
-        version = "0.1.0"
+    version = "0.1.0"
-        requires-python = ">=3.10,<=3.12"
+    requires-python = ">=3.10,<=3.13"
-        dependencies = ["crewai"]
+    dependencies = ["crewai"]
-        """,
+    """,
     )
     def test_get_project_name_python_310(self, mock_open):
         from crewai.cli.utils import get_project_name
 
         project_name = get_project_name()
-        print("project_name", project_name)
         self.assertEqual(project_name, "test_project")
 
     @unittest.skipIf(sys.version_info < (3, 11), "Requires Python 3.11+")
@@ -250,7 +249,7 @@ class TestDeployCommand(unittest.TestCase):
     [project]
     name = "test_project"
     version = "0.1.0"
-    requires-python = ">=3.10,<=3.12"
+    requires-python = ">=3.10,<=3.13"
     dependencies = ["crewai"]
     """,
     )

tests/crew_test.py

@@ -1285,7 +1285,7 @@ def test_agent_usage_metrics_are_captured_for_hierarchical_process():
         prompt_tokens=1562,
         completion_tokens=111,
         successful_requests=3,
-        cached_prompt_tokens=0,
+        cached_prompt_tokens=0
     )
 
 
@@ -1785,18 +1785,16 @@ def test_crew_train_success(
     crew_training_handler.assert_any_call("trained_agents_data.pkl")
     crew_training_handler().load.assert_called()
 
-    crew_training_handler().save_trained_data.assert_has_calls(
+    crew_training_handler().save_trained_data.assert_has_calls([
-        [
+        mock.call(
-            mock.call(
+            agent_id="Researcher",
-                agent_id="Researcher",
+            trained_data=task_evaluator().evaluate_training_data().model_dump(),
-                trained_data=task_evaluator().evaluate_training_data().model_dump(),
+        ),
-            ),
+        mock.call(
-            mock.call(
+            agent_id="Senior Writer",
-                agent_id="Senior Writer",
+            trained_data=task_evaluator().evaluate_training_data().model_dump(),
-                trained_data=task_evaluator().evaluate_training_data().model_dump(),
+        )
-            ),
+    ])
-        ]
-    )
 
 
 def test_crew_train_error():

uv.lock

@@ -1,9 +1,13 @@
 version = 1
-requires-python = ">=3.10, <=3.12"
+requires-python = ">=3.10, <=3.13"
 resolution-markers = [
-    "python_full_version < '3.11'",
+    "python_full_version < '3.11' and platform_python_implementation == 'PyPy'",
-    "python_full_version == '3.11.*'",
+    "python_full_version == '3.11.*' and platform_python_implementation == 'PyPy'",
-    "python_full_version >= '3.12'",
+    "python_full_version < '3.11' and platform_python_implementation != 'PyPy'",
+    "python_full_version == '3.11.*' and platform_python_implementation != 'PyPy'",
+    "python_full_version >= '3.12' and python_full_version < '3.12.4'",
+    "python_full_version >= '3.12.4' and python_full_version < '3.13'",
+    "python_full_version >= '3.13'",
 ]
 
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