Merge branch 'devin/1741108142-custom-llm-support' of github.com:crewAIInc/crewAI into devin/1741108142-custom-llm-support

- Update Crew class methods to enhance readability with consistent formatting and type hints.
- Change LLM class to inherit from BaseLLM for better structure.
- Remove unnecessary type checks and streamline tool handling in CrewAgentExecutor.
- Adjust BaseLLM to provide default implementations for stop words and context window size methods.
- Clean up AISuiteLLM by removing unused methods related to stop words and context window size.

docs/docs.json

@@ -109,7 +109,6 @@
               "how-to/langtrace-observability",
               "how-to/mlflow-observability",
               "how-to/openlit-observability",
-              "how-to/opik-observability",
               "how-to/portkey-observability"
             ]
           },
@@ -229,4 +228,4 @@
       "reddit": "https://www.reddit.com/r/crewAIInc/"
     }
   }
-}
+}

docs/how-to/opik-observability.mdx

@@ -1,124 +0,0 @@
----
-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.
-
-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 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)
-
-      <Frame caption="Opik Agent Dashboard">
-        <img src="/images/opik-crewai-dashboard.png" alt="Opik agent monitoring example with CrewAI" />
-      </Frame>
-    </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

@@ -142,13 +142,15 @@ 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=self.role,
+                        collection_name=knowledge_agent_name,
                         storage=self.knowledge_storage or None,
                     )
         except (TypeError, ValueError) as e:

src/crewai/crew.py

@@ -6,8 +6,9 @@ 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, Union, cast
+from typing import Any, Callable, Dict, List, Optional, Set, Tuple, TypeVar, Union, cast
 
+from langchain_core.tools import BaseTool as LangchainBaseTool
 from pydantic import (
     UUID4,
     BaseModel,
@@ -489,7 +490,7 @@ 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

@@ -1,5 +1,4 @@
 import json
-import uuid
 from datetime import date, datetime
 from typing import Any, Dict, List, Union
 
@@ -33,7 +32,7 @@ def export_state(flow: Flow) -> dict[str, Serializable]:
 
 
 def to_serializable(
-    obj: Any, exclude: set[str] | None = None, max_depth: int = 5, _current_depth: int = 0
+    obj: Any, max_depth: int = 5, _current_depth: int = 0
 ) -> Serializable:
     """Converts a Python object into a JSON-compatible representation.
 
@@ -43,7 +42,6 @@ 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:
@@ -52,39 +50,21 @@ 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=max_depth, _current_depth=_current_depth + 1
-            )
-            for item in obj
-        ]
+        return [to_serializable(item, max_depth, _current_depth + 1) for item in obj]
     elif isinstance(obj, dict):
         return {
             _to_serializable_key(key): to_serializable(
-                obj=value,
-                exclude=exclude,
-                max_depth=max_depth,
-                _current_depth=_current_depth + 1,
+                value, max_depth, _current_depth + 1
             )
             for key, value in obj.items()
-            if key not in exclude
         }
     elif isinstance(obj, BaseModel):
-        return to_serializable(
-            obj=obj.model_dump(exclude=exclude),
-            max_depth=max_depth,
-            _current_depth=_current_depth + 1,
-        )
+        return to_serializable(obj.model_dump(), max_depth, _current_depth + 1)
     else:
         return repr(obj)
 

src/crewai/knowledge/storage/knowledge_storage.py

@@ -14,7 +14,6 @@ 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
@@ -100,8 +99,7 @@ class KnowledgeStorage(BaseKnowledgeStorage):
             )
             if self.app:
                 self.collection = self.app.get_or_create_collection(
-                    name=sanitize_collection_name(collection_name),
-                    embedding_function=self.embedder,
+                    name=collection_name, embedding_function=self.embedder
                 )
             else:
                 raise Exception("Vector Database Client not initialized")

src/crewai/llms/third_party/ai_suite.py

@@ -1,13 +1,33 @@
 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

@@ -572,15 +572,7 @@ class Task(BaseModel):
     def copy(
         self, agents: List["BaseAgent"], task_mapping: Dict[str, "Task"]
     ) -> "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.
-        """
+        """Create a deep copy of the Task."""
         exclude = {
             "id",
             "agent",
@@ -603,7 +595,7 @@ 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 = self.__class__(
+        copied_task = Task(
             **copied_data,
             context=cloned_context,
             agent=cloned_agent,

src/crewai/utilities/chromadb.py

@@ -1,62 +0,0 @@
-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

tests/agent_test.py

@@ -1621,38 +1621,6 @@ 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

@@ -710,117 +710,4 @@ interactions:
       - req_4ceac9bc8ae57f631959b91d2ab63c4d
     http_version: HTTP/1.1
     status_code: 200
-- request:
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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
-      connection:
-      - keep-alive
-      content-length:
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-      content-type:
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-      - python
-      x-stainless-os:
-      - MacOS
-      x-stainless-package-version:
-      - 1.61.0
-      x-stainless-raw-response:
-      - 'true'
-      x-stainless-retry-count:
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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_serializable, to_string
+from crewai.flow.state_utils import export_state, to_string
 
 
 class Address(BaseModel):
@@ -148,23 +148,3 @@ 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

@@ -787,25 +787,6 @@ 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

@@ -1,81 +0,0 @@
-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

@@ -1,18 +1,42 @@
 version = 1
 requires-python = ">=3.10, <3.13"
 resolution-markers = [
-    "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')",
+    "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]]
@@ -42,7 +66,7 @@ wheels = [
 
 [[package]]
 name = "aiohttp"
-version = "3.10.10"
+version = "3.11.11"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "aiohappyeyeballs" },
@@ -51,55 +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 }
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