Merge branch 'main' into feat/trace-ui-execution

Fix multimodal agent validation errors with image processing

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/tools/tool_usage.py

@@ -117,7 +117,10 @@ class ToolUsage:
                 self._printer.print(content=f"\n\n{error}\n", color="red")
             return error
 
-        if isinstance(tool, CrewStructuredTool) and tool.name == self._i18n.tools("add_image")["name"]:  # type: ignore
+        if (
+            isinstance(tool, CrewStructuredTool)
+            and tool.name == self._i18n.tools("add_image")["name"]  # type: ignore
+        ):
             try:
                 result = self._use(tool_string=tool_string, tool=tool, calling=calling)
                 return result
@@ -181,7 +184,9 @@ class ToolUsage:
 
                 if calling.arguments:
                     try:
-                        acceptable_args = tool.args_schema.model_json_schema()["properties"].keys()  # type: ignore
+                        acceptable_args = tool.args_schema.model_json_schema()[
+                            "properties"
+                        ].keys()  # type: ignore
                         arguments = {
                             k: v
                             for k, v in calling.arguments.items()
@@ -202,7 +207,7 @@ class ToolUsage:
                         error=e, tool=tool.name, tool_inputs=tool.description
                     )
                     error = ToolUsageErrorException(
-                        f'\n{error_message}.\nMoving on then. {self._i18n.slice("format").format(tool_names=self.tools_names)}'
+                        f"\n{error_message}.\nMoving on then. {self._i18n.slice('format').format(tool_names=self.tools_names)}"
                     ).message
                     self.task.increment_tools_errors()
                     if self.agent.verbose:
@@ -244,6 +249,7 @@ class ToolUsage:
             tool_calling=calling,
             from_cache=from_cache,
             started_at=started_at,
+            result=result,
         )
 
         if (
@@ -380,7 +386,7 @@ class ToolUsage:
                 raise
             else:
                 return ToolUsageErrorException(
-                    f'{self._i18n.errors("tool_arguments_error")}'
+                    f"{self._i18n.errors('tool_arguments_error')}"
                 )
 
         if not isinstance(arguments, dict):
@@ -388,7 +394,7 @@ class ToolUsage:
                 raise
             else:
                 return ToolUsageErrorException(
-                    f'{self._i18n.errors("tool_arguments_error")}'
+                    f"{self._i18n.errors('tool_arguments_error')}"
                 )
 
         return ToolCalling(
@@ -416,7 +422,7 @@ class ToolUsage:
                 if self.agent.verbose:
                     self._printer.print(content=f"\n\n{e}\n", color="red")
                 return ToolUsageErrorException(  # type: ignore # Incompatible return value type (got "ToolUsageErrorException", expected "ToolCalling | InstructorToolCalling")
-                    f'{self._i18n.errors("tool_usage_error").format(error=e)}\nMoving on then. {self._i18n.slice("format").format(tool_names=self.tools_names)}'
+                    f"{self._i18n.errors('tool_usage_error').format(error=e)}\nMoving on then. {self._i18n.slice('format').format(tool_names=self.tools_names)}"
                 )
             return self._tool_calling(tool_string)
 
@@ -492,7 +498,12 @@ class ToolUsage:
         crewai_event_bus.emit(self, ToolUsageErrorEvent(**{**event_data, "error": e}))
 
     def on_tool_use_finished(
-        self, tool: Any, tool_calling: ToolCalling, from_cache: bool, started_at: float
+        self,
+        tool: Any,
+        tool_calling: ToolCalling,
+        from_cache: bool,
+        started_at: float,
+        result: Any,
     ) -> None:
         finished_at = time.time()
         event_data = self._prepare_event_data(tool, tool_calling)
@@ -501,6 +512,7 @@ class ToolUsage:
                 "started_at": datetime.datetime.fromtimestamp(started_at),
                 "finished_at": datetime.datetime.fromtimestamp(finished_at),
                 "from_cache": from_cache,
+                "output": result,
             }
         )
         crewai_event_bus.emit(self, ToolUsageFinishedEvent(**event_data))

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/llm_events.py

@@ -12,10 +12,15 @@ class LLMCallType(Enum):
 
 
 class LLMCallStartedEvent(CrewEvent):
-    """Event emitted when a LLM call starts"""
+    """Event emitted when a LLM call starts
+    
+    Attributes:
+        messages: Content can be either a string or a list of dictionaries that support
+            multimodal content (text, images, etc.)
+    """
 
     type: str = "llm_call_started"
-    messages: Union[str, List[Dict[str, str]]]
+    messages: Union[str, List[Dict[str, Any]]]
     tools: Optional[List[dict]] = None
     callbacks: Optional[List[Any]] = None
     available_functions: Optional[Dict[str, Any]] = None

src/crewai/utilities/events/tool_usage_events.py

@@ -30,6 +30,7 @@ class ToolUsageFinishedEvent(ToolUsageEvent):
     started_at: datetime
     finished_at: datetime
     from_cache: bool = False
+    output: Any
     type: str = "tool_usage_finished"
 
 

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_multimodal_agent_describing_image_successfully.yaml

@@ -0,0 +1,378 @@
+interactions:
+- request:
+    body: !!binary |
+      CpIKCiQKIgoMc2VydmljZS5uYW1lEhIKEGNyZXdBSS10ZWxlbWV0cnkS6QkKEgoQY3Jld2FpLnRl
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+      JGVkM2JmNWFlLWUwYzEtNDIyMS1hYWE4LTE4ZTY1ZGEzMmY3NXoCGAGFAQABAAA=
+    headers:
+      Accept:
+      - '*/*'
+      Accept-Encoding:
+      - gzip, deflate, zstd
+      Connection:
+      - keep-alive
+      Content-Length:
+      - '1301'
+      Content-Type:
+      - application/x-protobuf
+      User-Agent:
+      - OTel-OTLP-Exporter-Python/1.31.1
+    method: POST
+    uri: https://telemetry.crewai.com:4319/v1/traces
+  response:
+    body:
+      string: "\n\0"
+    headers:
+      Content-Length:
+      - '2'
+      Content-Type:
+      - application/x-protobuf
+      Date:
+      - Wed, 26 Mar 2025 19:24:52 GMT
+    status:
+      code: 200
+      message: OK
+- request:
+    body: '{"messages": [{"role": "system", "content": "You are Visual Quality Inspector.
+      Senior quality control expert with expertise in visual inspection\nYour personal
+      goal is: Perform detailed quality analysis of product images\nYou ONLY have
+      access to the following tools, and should NEVER make up tools that are not listed
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tests/crew_test.py

@@ -3731,6 +3731,44 @@ def test_multimodal_agent_image_tool_handling():
         assert result["content"][1]["type"] == "image_url"
 
 
+@pytest.mark.vcr(filter_headers=["authorization"])
+def test_multimodal_agent_describing_image_successfully():
+    """
+    Test that a multimodal agent can process images without validation errors.
+    This test reproduces the scenario from issue #2475.
+    """
+    llm = LLM(model="openai/gpt-4o", temperature=0.7)  # model with vision capabilities
+
+    expert_analyst = Agent(
+        role="Visual Quality Inspector",
+        goal="Perform detailed quality analysis of product images",
+        backstory="Senior quality control expert with expertise in visual inspection",
+        llm=llm,
+        verbose=True,
+        allow_delegation=False,
+        multimodal=True,
+    )
+
+    inspection_task = Task(
+        description="""
+        Analyze the product image at https://www.us.maguireshoes.com/cdn/shop/files/FW24-Edito-Lucena-Distressed-01_1920x.jpg?v=1736371244 with focus on:
+        1. Quality of materials
+        2. Manufacturing defects
+        3. Compliance with standards
+        Provide a detailed report highlighting any issues found.
+        """,
+        expected_output="A detailed report highlighting any issues found",
+        agent=expert_analyst,
+    )
+
+    crew = Crew(agents=[expert_analyst], tasks=[inspection_task])
+    result = crew.kickoff()
+
+    task_output = result.tasks_output[0]
+    assert isinstance(task_output, TaskOutput)
+    assert task_output.raw == result.raw
+
+
 @pytest.mark.vcr(filter_headers=["authorization"])
 def test_multimodal_agent_live_image_analysis():
     """

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/test_multimodal_validation.py

@@ -0,0 +1,46 @@
+import os
+
+import pytest
+
+from crewai import LLM, Agent, Crew, Task
+
+
+@pytest.mark.skip(reason="Only run manually with valid API keys")
+def test_multimodal_agent_with_image_url():
+    """
+    Test that a multimodal agent can process images without validation errors.
+    This test reproduces the scenario from issue #2475.
+    """
+    OPENAI_API_KEY = os.getenv("OPENAI_API_KEY")
+    if not OPENAI_API_KEY:
+        pytest.skip("OPENAI_API_KEY environment variable not set")
+
+    llm = LLM(
+        model="openai/gpt-4o",  # model with vision capabilities
+        api_key=OPENAI_API_KEY,
+        temperature=0.7
+    )
+
+    expert_analyst = Agent(
+        role="Visual Quality Inspector",
+        goal="Perform detailed quality analysis of product images",
+        backstory="Senior quality control expert with expertise in visual inspection",
+        llm=llm,
+        verbose=True,
+        allow_delegation=False,
+        multimodal=True
+    )
+
+    inspection_task = Task(
+        description="""
+        Analyze the product image at https://www.us.maguireshoes.com/collections/spring-25/products/lucena-black-boot with focus on:
+        1. Quality of materials
+        2. Manufacturing defects
+        3. Compliance with standards
+        Provide a detailed report highlighting any issues found.
+        """,
+        expected_output="A detailed report highlighting any issues found",
+        agent=expert_analyst
+    )
+
+    crew = Crew(agents=[expert_analyst], tasks=[inspection_task])

tests/tools/test_tool_usage.py

@@ -1,5 +1,7 @@
+import datetime
 import json
 import random
+import time
 from unittest.mock import MagicMock, patch
 
 import pytest
@@ -11,6 +13,7 @@ from crewai.tools.tool_usage import ToolUsage
 from crewai.utilities.events import crewai_event_bus
 from crewai.utilities.events.tool_usage_events import (
     ToolSelectionErrorEvent,
+    ToolUsageFinishedEvent,
     ToolValidateInputErrorEvent,
 )
 
@@ -624,3 +627,161 @@ def test_tool_validate_input_error_event():
         assert event.agent_role == "test_role"
         assert event.tool_name == "test_tool"
         assert "must be a valid dictionary" in event.error
+
+
+def test_tool_usage_finished_event_with_result():
+    """Test that ToolUsageFinishedEvent is emitted with correct result attributes."""
+    # Create mock agent with proper string values
+    mock_agent = MagicMock()
+    mock_agent.key = "test_agent_key"
+    mock_agent.role = "test_agent_role"
+    mock_agent._original_role = "test_agent_role"
+    mock_agent.i18n = MagicMock()
+    mock_agent.verbose = False
+
+    # Create mock task
+    mock_task = MagicMock()
+    mock_task.delegations = 0
+
+    # Create mock tool
+    class TestTool(BaseTool):
+        name: str = "Test Tool"
+        description: str = "A test tool"
+
+        def _run(self, input: dict) -> str:
+            return "test result"
+
+    test_tool = TestTool()
+
+    # Create mock tool calling
+    mock_tool_calling = MagicMock()
+    mock_tool_calling.arguments = {"arg1": "value1"}
+
+    # Create ToolUsage instance
+    tool_usage = ToolUsage(
+        tools_handler=MagicMock(),
+        tools=[test_tool],
+        original_tools=[test_tool],
+        tools_description="Test Tool Description",
+        tools_names="Test Tool",
+        task=mock_task,
+        function_calling_llm=None,
+        agent=mock_agent,
+        action=MagicMock(),
+    )
+
+    # Track received events
+    received_events = []
+
+    @crewai_event_bus.on(ToolUsageFinishedEvent)
+    def event_handler(source, event):
+        received_events.append(event)
+
+    # Call on_tool_use_finished with test data
+    started_at = time.time()
+    result = "test output result"
+    tool_usage.on_tool_use_finished(
+        tool=test_tool,
+        tool_calling=mock_tool_calling,
+        from_cache=False,
+        started_at=started_at,
+        result=result,
+    )
+
+    # Verify event was emitted
+    assert len(received_events) == 1, "Expected one event to be emitted"
+    event = received_events[0]
+    assert isinstance(event, ToolUsageFinishedEvent)
+
+    # Verify event attributes
+    assert event.agent_key == "test_agent_key"
+    assert event.agent_role == "test_agent_role"
+    assert event.tool_name == "Test Tool"
+    assert event.tool_args == {"arg1": "value1"}
+    assert event.tool_class == "TestTool"
+    assert event.run_attempts == 1  # Default value from ToolUsage
+    assert event.delegations == 0
+    assert event.from_cache is False
+    assert event.output == "test output result"
+    assert isinstance(event.started_at, datetime.datetime)
+    assert isinstance(event.finished_at, datetime.datetime)
+    assert event.type == "tool_usage_finished"
+
+
+def test_tool_usage_finished_event_with_cached_result():
+    """Test that ToolUsageFinishedEvent is emitted with correct result attributes when using cached result."""
+    # Create mock agent with proper string values
+    mock_agent = MagicMock()
+    mock_agent.key = "test_agent_key"
+    mock_agent.role = "test_agent_role"
+    mock_agent._original_role = "test_agent_role"
+    mock_agent.i18n = MagicMock()
+    mock_agent.verbose = False
+
+    # Create mock task
+    mock_task = MagicMock()
+    mock_task.delegations = 0
+
+    # Create mock tool
+    class TestTool(BaseTool):
+        name: str = "Test Tool"
+        description: str = "A test tool"
+
+        def _run(self, input: dict) -> str:
+            return "test result"
+
+    test_tool = TestTool()
+
+    # Create mock tool calling
+    mock_tool_calling = MagicMock()
+    mock_tool_calling.arguments = {"arg1": "value1"}
+
+    # Create ToolUsage instance
+    tool_usage = ToolUsage(
+        tools_handler=MagicMock(),
+        tools=[test_tool],
+        original_tools=[test_tool],
+        tools_description="Test Tool Description",
+        tools_names="Test Tool",
+        task=mock_task,
+        function_calling_llm=None,
+        agent=mock_agent,
+        action=MagicMock(),
+    )
+
+    # Track received events
+    received_events = []
+
+    @crewai_event_bus.on(ToolUsageFinishedEvent)
+    def event_handler(source, event):
+        received_events.append(event)
+
+    # Call on_tool_use_finished with test data and from_cache=True
+    started_at = time.time()
+    result = "cached test output result"
+    tool_usage.on_tool_use_finished(
+        tool=test_tool,
+        tool_calling=mock_tool_calling,
+        from_cache=True,
+        started_at=started_at,
+        result=result,
+    )
+
+    # Verify event was emitted
+    assert len(received_events) == 1, "Expected one event to be emitted"
+    event = received_events[0]
+    assert isinstance(event, ToolUsageFinishedEvent)
+
+    # Verify event attributes
+    assert event.agent_key == "test_agent_key"
+    assert event.agent_role == "test_agent_role"
+    assert event.tool_name == "Test Tool"
+    assert event.tool_args == {"arg1": "value1"}
+    assert event.tool_class == "TestTool"
+    assert event.run_attempts == 1  # Default value from ToolUsage
+    assert event.delegations == 0
+    assert event.from_cache is True
+    assert event.output == "cached test output result"
+    assert isinstance(event.started_at, datetime.datetime)
+    assert isinstance(event.finished_at, datetime.datetime)
+    assert event.type == "tool_usage_finished"

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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+sdist = { url = "https://files.pythonhosted.org/packages/17/7e/16e57e6cf20eb62481a2f9ce8674328407187950ccc602ad07c685279141/aiohttp-3.10.10.tar.gz", hash = "sha256:0631dd7c9f0822cc61c88586ca76d5b5ada26538097d0f1df510b082bad3411a", size = 7542993 }
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