Merge branch 'main' into docs/improve-observability

Co-authored-by: Lorenze Jay <63378463+lorenzejay@users.noreply.github.com>

docs/docs.json

@@ -1,6 +1,6 @@
 {
   "$schema": "https://mintlify.com/docs.json",
-  "theme": "palm",
+  "theme": "mint",
   "name": "CrewAI",
   "colors": {
     "primary": "#EB6658",
@@ -109,6 +109,7 @@
               "how-to/langtrace-observability",
               "how-to/mlflow-observability",
               "how-to/openlit-observability",
+              "how-to/opik-observability",
               "how-to/portkey-observability"
             ]
           },
@@ -228,4 +229,4 @@
       "reddit": "https://www.reddit.com/r/crewAIInc/"
     }
   }
-}
+}

docs/how-to/opik-observability.mdx

@@ -0,0 +1,129 @@
+---
+title: Opik Integration
+description: Learn how to use Comet Opik to debug, evaluate, and monitor your CrewAI applications with comprehensive tracing, automated evaluations, and production-ready dashboards. 
+icon: meteor
+---
+
+# Opik Overview
+
+With [Comet Opik](https://www.comet.com/docs/opik/), debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards.
+
+<Frame caption="Opik Agent Dashboard">
+  <img src="/images/opik-crewai-dashboard.png" alt="Opik agent monitoring example with CrewAI" />
+</Frame>
+
+Opik provides comprehensive support for every stage of your CrewAI application development:
+
+- **Log Traces and Spans**: Automatically track LLM calls and application logic to debug and analyze development and production systems. Manually or programmatically annotate, view, and compare responses across projects.
+- **Evaluate Your LLM Application's Performance**: Evaluate against a custom test set and run built-in evaluation metrics or define your own metrics in the SDK or UI.
+- **Test Within Your CI/CD Pipeline**: Establish reliable performance baselines with Opik's LLM unit tests, built on PyTest. Run online evaluations for continuous monitoring in production.
+- **Monitor & Analyze Production Data**: Understand your models' performance on unseen data in production and generate datasets for new dev iterations.
+
+## Setup
+Comet provides a hosted version of the Opik platform, or you can run the platform locally. 
+
+To use the hosted version, simply [create a free Comet account](https://www.comet.com/signup?utm_medium=github&utm_source=crewai_docs) and grab you API Key.
+
+To run the Opik platform locally, see our [installation guide](https://www.comet.com/docs/opik/self-host/overview/) for more information.
+
+For this guide we will use CrewAI’s quickstart example.
+
+<Steps>
+    <Step title="Install required packages">
+      ```shell
+      pip install crewai crewai-tools opik --upgrade
+      ```
+    </Step>
+    <Step title="Configure Opik">
+      ```python
+      import opik
+      opik.configure(use_local=False)
+      ```
+    </Step>
+    <Step title="Prepare environment">
+      First, we set up our API keys for our LLM-provider as environment variables:
+  
+      ```python
+      import os
+      import getpass
+
+      if "OPENAI_API_KEY" not in os.environ:
+      os.environ["OPENAI_API_KEY"] = getpass.getpass("Enter your OpenAI API key: ")
+      ```
+    </Step>
+    <Step title="Using CrewAI">
+      The first step is to create our project. We will use an example from CrewAI’s documentation:
+
+      ```python
+      from crewai import Agent, Crew, Task, Process
+
+
+      class YourCrewName:
+          def agent_one(self) -> Agent:
+              return Agent(
+                  role="Data Analyst",
+                  goal="Analyze data trends in the market",
+                  backstory="An experienced data analyst with a background in economics",
+                  verbose=True,
+              )
+
+          def agent_two(self) -> Agent:
+              return Agent(
+                  role="Market Researcher",
+                  goal="Gather information on market dynamics",
+                  backstory="A diligent researcher with a keen eye for detail",
+                  verbose=True,
+              )
+
+          def task_one(self) -> Task:
+              return Task(
+                  name="Collect Data Task",
+                  description="Collect recent market data and identify trends.",
+                  expected_output="A report summarizing key trends in the market.",
+                  agent=self.agent_one(),
+              )
+
+          def task_two(self) -> Task:
+              return Task(
+                  name="Market Research Task",
+                  description="Research factors affecting market dynamics.",
+                  expected_output="An analysis of factors influencing the market.",
+                  agent=self.agent_two(),
+              )
+
+          def crew(self) -> Crew:
+              return Crew(
+                  agents=[self.agent_one(), self.agent_two()],
+                  tasks=[self.task_one(), self.task_two()],
+                  process=Process.sequential,
+                  verbose=True,
+              )
+
+      ```
+
+      Now we can import Opik’s tracker and run our crew:
+  
+      ```python
+      from opik.integrations.crewai import track_crewai
+
+      track_crewai(project_name="crewai-integration-demo")
+
+      my_crew = YourCrewName().crew()
+      result = my_crew.kickoff()
+
+      print(result)
+      ```
+      After running your CrewAI application, visit the Opik app to view:
+      - LLM traces, spans, and their metadata
+      - Agent interactions and task execution flow
+      - Performance metrics like latency and token usage
+      - Evaluation metrics (built-in or custom)
+    </Step>
+</Steps>
+
+## Resources
+
+- [🦉 Opik Documentation](https://www.comet.com/docs/opik/)
+- [👉 Opik + CrewAI Colab](https://colab.research.google.com/github/comet-ml/opik/blob/main/apps/opik-documentation/documentation/docs/cookbook/crewai.ipynb)
+- [🐦 X](https://x.com/cometml)
+- [💬 Slack](https://slack.comet.com/)

src/crewai/agent.py

@@ -142,15 +142,13 @@ class Agent(BaseAgent):
                 self.embedder = crew_embedder
 
             if self.knowledge_sources:
-                full_pattern = re.compile(r"[^a-zA-Z0-9\-_\r\n]|(\.\.)")
-                knowledge_agent_name = f"{re.sub(full_pattern, '_', self.role)}"
                 if isinstance(self.knowledge_sources, list) and all(
                     isinstance(k, BaseKnowledgeSource) for k in self.knowledge_sources
                 ):
                     self.knowledge = Knowledge(
                         sources=self.knowledge_sources,
                         embedder=self.embedder,
-                        collection_name=knowledge_agent_name,
+                        collection_name=self.role,
                         storage=self.knowledge_storage or None,
                     )
         except (TypeError, ValueError) as e:

src/crewai/crew.py

@@ -6,9 +6,8 @@ import warnings
 from concurrent.futures import Future
 from copy import copy as shallow_copy
 from hashlib import md5
-from typing import Any, Callable, Dict, List, Optional, Set, Tuple, TypeVar, Union, cast
+from typing import Any, Callable, Dict, List, Optional, Set, Tuple, Union, cast
 
-from langchain_core.tools import BaseTool as LangchainBaseTool
 from pydantic import (
     UUID4,
     BaseModel,
@@ -490,7 +489,7 @@ class Crew(BaseModel):
             task.key for task in self.tasks
         ]
         return md5("|".join(source).encode(), usedforsecurity=False).hexdigest()
-        
+
     @property
     def fingerprint(self) -> Fingerprint:
         """

src/crewai/flow/state_utils.py

@@ -1,4 +1,5 @@
 import json
+import uuid
 from datetime import date, datetime
 from typing import Any, Dict, List, Union
 
@@ -32,7 +33,7 @@ def export_state(flow: Flow) -> dict[str, Serializable]:
 
 
 def to_serializable(
-    obj: Any, max_depth: int = 5, _current_depth: int = 0
+    obj: Any, exclude: set[str] | None = None, max_depth: int = 5, _current_depth: int = 0
 ) -> Serializable:
     """Converts a Python object into a JSON-compatible representation.
 
@@ -42,6 +43,7 @@ def to_serializable(
 
     Args:
         obj (Any): Object to transform.
+        exclude (set[str], optional): Set of keys to exclude from the result.
         max_depth (int, optional): Maximum recursion depth. Defaults to 5.
 
     Returns:
@@ -50,21 +52,39 @@ def to_serializable(
     if _current_depth >= max_depth:
         return repr(obj)
 
+    if exclude is None:
+        exclude = set()
+
     if isinstance(obj, (str, int, float, bool, type(None))):
         return obj
+    elif isinstance(obj, uuid.UUID):
+        return str(obj)
     elif isinstance(obj, (date, datetime)):
         return obj.isoformat()
     elif isinstance(obj, (list, tuple, set)):
-        return [to_serializable(item, max_depth, _current_depth + 1) for item in obj]
+        return [
+            to_serializable(
+                item, max_depth=max_depth, _current_depth=_current_depth + 1
+            )
+            for item in obj
+        ]
     elif isinstance(obj, dict):
         return {
             _to_serializable_key(key): to_serializable(
-                value, max_depth, _current_depth + 1
+                obj=value,
+                exclude=exclude,
+                max_depth=max_depth,
+                _current_depth=_current_depth + 1,
             )
             for key, value in obj.items()
+            if key not in exclude
         }
     elif isinstance(obj, BaseModel):
-        return to_serializable(obj.model_dump(), max_depth, _current_depth + 1)
+        return to_serializable(
+            obj=obj.model_dump(exclude=exclude),
+            max_depth=max_depth,
+            _current_depth=_current_depth + 1,
+        )
     else:
         return repr(obj)
 

src/crewai/knowledge/storage/knowledge_storage.py

@@ -14,6 +14,7 @@ from chromadb.config import Settings
 
 from crewai.knowledge.storage.base_knowledge_storage import BaseKnowledgeStorage
 from crewai.utilities import EmbeddingConfigurator
+from crewai.utilities.chromadb import sanitize_collection_name
 from crewai.utilities.constants import KNOWLEDGE_DIRECTORY
 from crewai.utilities.logger import Logger
 from crewai.utilities.paths import db_storage_path
@@ -99,7 +100,8 @@ class KnowledgeStorage(BaseKnowledgeStorage):
             )
             if self.app:
                 self.collection = self.app.get_or_create_collection(
-                    name=collection_name, embedding_function=self.embedder
+                    name=sanitize_collection_name(collection_name),
+                    embedding_function=self.embedder,
                 )
             else:
                 raise Exception("Vector Database Client not initialized")

src/crewai/llms/third_party/ai_suite.py

@@ -1,33 +1,13 @@
 from typing import Any, Dict, List, Optional, Union
 
+import aisuite as ai
+
 from crewai.llms.base_llm import BaseLLM
 
 
 class AISuiteLLM(BaseLLM):
     def __init__(self, model: str, temperature: Optional[float] = None, **kwargs):
         super().__init__(model, temperature, **kwargs)
-
-        try:
-            import aisuite as ai
-        except ImportError:
-            import click
-
-            if click.confirm(
-                "You are missing the 'aisuite' package. Would you like to install it?"
-            ):
-                import subprocess
-
-                try:
-                    subprocess.run(["uv", "add", "aisuite"], check=True)
-
-                    import aisuite as ai
-                except subprocess.CalledProcessError as e:
-                    raise ImportError(f"Failed to install 'aisuite' package: {str(e)}")
-            else:
-                raise ImportError(
-                    "The 'aisuite' package is required for this functionality."
-                )
-
         self.client = ai.Client()
 
     def call(

src/crewai/task.py

@@ -572,7 +572,15 @@ class Task(BaseModel):
     def copy(
         self, agents: List["BaseAgent"], task_mapping: Dict[str, "Task"]
     ) -> "Task":
-        """Create a deep copy of the Task."""
+        """Creates a deep copy of the Task while preserving its original class type.
+
+        Args:
+            agents: List of agents available for the task.
+            task_mapping: Dictionary mapping task IDs to Task instances.
+
+        Returns:
+            A copy of the task with the same class type as the original.
+        """
         exclude = {
             "id",
             "agent",
@@ -595,7 +603,7 @@ class Task(BaseModel):
         cloned_agent = get_agent_by_role(self.agent.role) if self.agent else None
         cloned_tools = copy(self.tools) if self.tools else []
 
-        copied_task = Task(
+        copied_task = self.__class__(
             **copied_data,
             context=cloned_context,
             agent=cloned_agent,

src/crewai/utilities/chromadb.py

@@ -0,0 +1,62 @@
+import re
+from typing import Optional
+
+MIN_COLLECTION_LENGTH = 3
+MAX_COLLECTION_LENGTH = 63
+DEFAULT_COLLECTION = "default_collection"
+
+# Compiled regex patterns for better performance
+INVALID_CHARS_PATTERN = re.compile(r"[^a-zA-Z0-9_-]")
+IPV4_PATTERN = re.compile(r"^(\d{1,3}\.){3}\d{1,3}$")
+
+
+def is_ipv4_pattern(name: str) -> bool:
+    """
+    Check if a string matches an IPv4 address pattern.
+
+    Args:
+        name: The string to check
+
+    Returns:
+        True if the string matches an IPv4 pattern, False otherwise
+    """
+    return bool(IPV4_PATTERN.match(name))
+
+
+def sanitize_collection_name(name: Optional[str]) -> str:
+    """
+    Sanitize a collection name to meet ChromaDB requirements:
+    1. 3-63 characters long
+    2. Starts and ends with alphanumeric character
+    3. Contains only alphanumeric characters, underscores, or hyphens
+    4. No consecutive periods
+    5. Not a valid IPv4 address
+
+    Args:
+        name: The original collection name to sanitize
+
+    Returns:
+        A sanitized collection name that meets ChromaDB requirements
+    """
+    if not name:
+        return DEFAULT_COLLECTION
+
+    if is_ipv4_pattern(name):
+        name = f"ip_{name}"
+
+    sanitized = INVALID_CHARS_PATTERN.sub("_", name)
+
+    if not sanitized[0].isalnum():
+        sanitized = "a" + sanitized
+
+    if not sanitized[-1].isalnum():
+        sanitized = sanitized[:-1] + "z"
+
+    if len(sanitized) < MIN_COLLECTION_LENGTH:
+        sanitized = sanitized + "x" * (MIN_COLLECTION_LENGTH - len(sanitized))
+    if len(sanitized) > MAX_COLLECTION_LENGTH:
+        sanitized = sanitized[:MAX_COLLECTION_LENGTH]
+        if not sanitized[-1].isalnum():
+            sanitized = sanitized[:-1] + "z"
+
+    return sanitized

src/crewai/utilities/events/utils/console_formatter.py

@@ -507,9 +507,10 @@ class ConsoleFormatter:
 
         # Remove the thinking status node when complete
         if "Thinking" in str(tool_branch.label):
-            agent_branch.children.remove(tool_branch)
-            self.print(crew_tree)
-            self.print()
+            if tool_branch in agent_branch.children:
+                agent_branch.children.remove(tool_branch)
+                self.print(crew_tree)
+                self.print()
 
     def handle_llm_call_failed(
         self, tool_branch: Optional[Tree], error: str, crew_tree: Optional[Tree]
@@ -587,6 +588,7 @@ class ConsoleFormatter:
             for child in flow_tree.children:
                 if "Running tests" in str(child.label):
                     child.label = Text("✅ Tests completed successfully", style="green")
+                    break
 
             self.print(flow_tree)
             self.print()

tests/agent_test.py

@@ -1621,6 +1621,38 @@ def test_agent_with_knowledge_sources():
         assert "red" in result.raw.lower()
 
 
+@pytest.mark.vcr(filter_headers=["authorization"])
+def test_agent_with_knowledge_sources_extensive_role():
+    content = "Brandon's favorite color is red and he likes Mexican food."
+    string_source = StringKnowledgeSource(content=content)
+
+    with patch(
+        "crewai.knowledge.storage.knowledge_storage.KnowledgeStorage"
+    ) as MockKnowledge:
+        mock_knowledge_instance = MockKnowledge.return_value
+        mock_knowledge_instance.sources = [string_source]
+        mock_knowledge_instance.query.return_value = [{"content": content}]
+
+        agent = Agent(
+            role="Information Agent with extensive role description that is longer than 80 characters",
+            goal="Provide information based on knowledge sources",
+            backstory="You have access to specific knowledge sources.",
+            llm=LLM(model="gpt-4o-mini"),
+            knowledge_sources=[string_source],
+        )
+
+        task = Task(
+            description="What is Brandon's favorite color?",
+            expected_output="Brandon's favorite color.",
+            agent=agent,
+        )
+
+        crew = Crew(agents=[agent], tasks=[task])
+        result = crew.kickoff()
+
+        assert "red" in result.raw.lower()
+
+
 @pytest.mark.vcr(filter_headers=["authorization"])
 def test_agent_with_knowledge_sources_works_with_copy():
     content = "Brandon's favorite color is red and he likes Mexican food."

tests/cassettes/test_before_kickoff_callback.yaml

@@ -710,4 +710,117 @@ interactions:
       - req_4ceac9bc8ae57f631959b91d2ab63c4d
     http_version: HTTP/1.1
     status_code: 200
+- request:
+    body: '{"messages": [{"role": "system", "content": "You are Test Agent. Test agent
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+      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: Test task description\n\nThis is the expected criteria for your final
+      answer: Test expected output\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", "stop": ["\nObservation:"]}'
+    headers:
+      accept:
+      - application/json
+      accept-encoding:
+      - gzip, deflate
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+      - keep-alive
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+      - 1.61.0
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+      - 'true'
+      x-stainless-retry-count:
+      - '0'
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+      - CPython
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+      - 3.12.9
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+    uri: https://api.openai.com/v1/chat/completions
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tests/flow/test_state_utils.py

@@ -6,7 +6,7 @@ import pytest
 from pydantic import BaseModel
 
 from crewai.flow import Flow
-from crewai.flow.state_utils import export_state, to_string
+from crewai.flow.state_utils import export_state, to_serializable, to_string
 
 
 class Address(BaseModel):
@@ -148,3 +148,23 @@ def test_depth_limit(mock_flow):
             }
         }
     }
+
+
+def test_exclude_keys():
+    result = to_serializable({"key1": "value1", "key2": "value2"}, exclude={"key1"})
+    assert result == {"key2": "value2"}
+
+    model = Person(
+        name="John Doe",
+        age=30,
+        address=Address(street="123 Main St", city="Tech City", country="Pythonia"),
+        birthday=date(1994, 1, 1),
+        skills=["Python", "Testing"],
+    )
+    result = to_serializable(model, exclude={"address"})
+    assert result == {
+        "name": "John Doe",
+        "age": 30,
+        "birthday": "1994-01-01",
+        "skills": ["Python", "Testing"],
+    }

tests/task_test.py

@@ -787,6 +787,25 @@ def test_conditional_task_definition_based_on_dict():
     assert task.agent is None
 
 
+def test_conditional_task_copy_preserves_type():
+    task_config = {
+        "description": "Give me an integer score between 1-5 for the following title: 'The impact of AI in the future of work', check examples to based your evaluation.",
+        "expected_output": "The score of the title.",
+    }
+    original_task = Task(**task_config)
+    copied_task = original_task.copy(agents=[], task_mapping={})
+    assert isinstance(copied_task, Task)
+
+    original_conditional_config = {
+        "description": "Give me an integer score between 1-5 for the following title: 'The impact of AI in the future of work'. Check examples to base your evaluation on.",
+        "expected_output": "The score of the title.",
+        "condition": lambda x: True,
+    }
+    original_conditional_task = ConditionalTask(**original_conditional_config)
+    copied_conditional_task = original_conditional_task.copy(agents=[], task_mapping={})
+    assert isinstance(copied_conditional_task, ConditionalTask)
+
+
 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.",

tests/utilities/test_chromadb_utils.py

@@ -0,0 +1,81 @@
+import unittest
+from typing import Any, Dict, List, Union
+
+import pytest
+
+from crewai.utilities.chromadb import (
+    MAX_COLLECTION_LENGTH,
+    MIN_COLLECTION_LENGTH,
+    is_ipv4_pattern,
+    sanitize_collection_name,
+)
+
+
+class TestChromadbUtils(unittest.TestCase):
+    def test_sanitize_collection_name_long_name(self):
+        """Test sanitizing a very long collection name."""
+        long_name = "This is an extremely long role name that will definitely exceed the ChromaDB collection name limit of 63 characters and cause an error when used as a collection name"
+        sanitized = sanitize_collection_name(long_name)
+        self.assertLessEqual(len(sanitized), MAX_COLLECTION_LENGTH)
+        self.assertTrue(sanitized[0].isalnum())
+        self.assertTrue(sanitized[-1].isalnum())
+        self.assertTrue(all(c.isalnum() or c in ["_", "-"] for c in sanitized))
+
+    def test_sanitize_collection_name_special_chars(self):
+        """Test sanitizing a name with special characters."""
+        special_chars = "Agent@123!#$%^&*()"
+        sanitized = sanitize_collection_name(special_chars)
+        self.assertTrue(sanitized[0].isalnum())
+        self.assertTrue(sanitized[-1].isalnum())
+        self.assertTrue(all(c.isalnum() or c in ["_", "-"] for c in sanitized))
+
+    def test_sanitize_collection_name_short_name(self):
+        """Test sanitizing a very short name."""
+        short_name = "A"
+        sanitized = sanitize_collection_name(short_name)
+        self.assertGreaterEqual(len(sanitized), MIN_COLLECTION_LENGTH)
+        self.assertTrue(sanitized[0].isalnum())
+        self.assertTrue(sanitized[-1].isalnum())
+
+    def test_sanitize_collection_name_bad_ends(self):
+        """Test sanitizing a name with non-alphanumeric start/end."""
+        bad_ends = "_Agent_"
+        sanitized = sanitize_collection_name(bad_ends)
+        self.assertTrue(sanitized[0].isalnum())
+        self.assertTrue(sanitized[-1].isalnum())
+
+    def test_sanitize_collection_name_none(self):
+        """Test sanitizing a None value."""
+        sanitized = sanitize_collection_name(None)
+        self.assertEqual(sanitized, "default_collection")
+
+    def test_sanitize_collection_name_ipv4_pattern(self):
+        """Test sanitizing an IPv4 address."""
+        ipv4 = "192.168.1.1"
+        sanitized = sanitize_collection_name(ipv4)
+        self.assertTrue(sanitized.startswith("ip_"))
+        self.assertTrue(sanitized[0].isalnum())
+        self.assertTrue(sanitized[-1].isalnum())
+        self.assertTrue(all(c.isalnum() or c in ["_", "-"] for c in sanitized))
+
+    def test_is_ipv4_pattern(self):
+        """Test IPv4 pattern detection."""
+        self.assertTrue(is_ipv4_pattern("192.168.1.1"))
+        self.assertFalse(is_ipv4_pattern("not.an.ip.address"))
+
+    def test_sanitize_collection_name_properties(self):
+        """Test that sanitized collection names always meet ChromaDB requirements."""
+        test_cases = [
+            "A" * 100,  # Very long name
+            "_start_with_underscore",
+            "end_with_underscore_",
+            "contains@special#characters",
+            "192.168.1.1",  # IPv4 address
+            "a" * 2,  # Too short
+        ]
+        for test_case in test_cases:
+            sanitized = sanitize_collection_name(test_case)
+            self.assertGreaterEqual(len(sanitized), MIN_COLLECTION_LENGTH)
+            self.assertLessEqual(len(sanitized), MAX_COLLECTION_LENGTH)
+            self.assertTrue(sanitized[0].isalnum())
+            self.assertTrue(sanitized[-1].isalnum())

uv.lock

@@ -1,42 +1,18 @@
 version = 1
 requires-python = ">=3.10, <3.13"
 resolution-markers = [
-    "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')",
+    "python_full_version < '3.11' and sys_platform == 'darwin'",
+    "python_full_version < '3.11' and platform_machine == 'aarch64' and sys_platform == 'linux'",
+    "(python_full_version < '3.11' and platform_machine != 'aarch64' and sys_platform == 'linux') or (python_full_version < '3.11' and sys_platform != 'darwin' and sys_platform != 'linux')",
+    "python_full_version == '3.11.*' and sys_platform == 'darwin'",
+    "python_full_version == '3.11.*' and platform_machine == 'aarch64' and sys_platform == 'linux'",
+    "(python_full_version == '3.11.*' and platform_machine != 'aarch64' and sys_platform == 'linux') or (python_full_version == '3.11.*' and sys_platform != 'darwin' and sys_platform != 'linux')",
+    "python_full_version >= '3.12' and python_full_version < '3.12.4' and sys_platform == 'darwin'",
+    "python_full_version >= '3.12' and python_full_version < '3.12.4' and platform_machine == 'aarch64' and sys_platform == 'linux'",
+    "(python_full_version >= '3.12' and python_full_version < '3.12.4' and platform_machine != 'aarch64' and sys_platform == 'linux') or (python_full_version >= '3.12' and python_full_version < '3.12.4' and sys_platform != 'darwin' and sys_platform != 'linux')",
+    "python_full_version >= '3.12.4' and sys_platform == 'darwin'",
+    "python_full_version >= '3.12.4' and platform_machine == 'aarch64' and sys_platform == 'linux'",
+    "(python_full_version >= '3.12.4' and platform_machine != 'aarch64' and sys_platform == 'linux') or (python_full_version >= '3.12.4' and sys_platform != 'darwin' and sys_platform != 'linux')",
 ]
 
 [[package]]
@@ -66,7 +42,7 @@ wheels = [
 
 [[package]]
 name = "aiohttp"
-version = "3.11.11"
+version = "3.10.10"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "aiohappyeyeballs" },
@@ -75,56 +51,55 @@ dependencies = [
     { name = "attrs" },
     { name = "frozenlist" },
     { name = "multidict" },
-    { name = "propcache" },
     { name = "yarl" },
 ]
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