Fix lint and MRO issues in Pydantic compatibility tests

- Remove unused pytest import to fix lint error
- Change inheritance order to FlowTrackable, BaseModel to fix MRO error
- Follows same pattern as LiteAgent and Crew classes in codebase

Co-Authored-By: João <joao@crewai.com>

docs/enterprise/features/integrations.mdx

@@ -96,7 +96,7 @@ email_agent = Agent(
     role="Email Manager",
     goal="Manage and organize email communications",
     backstory="An AI assistant specialized in email management and communication.",
-    tools=[enterprise_tools]
+    tools=enterprise_tools
 )
 
 # Task to send an email

docs/installation.mdx

@@ -22,7 +22,7 @@ Watch this video tutorial for a step-by-step demonstration of the installation p
 <Note>
   **Python Version Requirements**
 
-  CrewAI requires `Python >=3.10 and <=3.13`. Here's how to check your version:
+  CrewAI requires `Python >=3.10 and <3.14`. Here's how to check your version:
   ```bash
   python3 --version
   ```

docs/quickstart.mdx

@@ -212,7 +212,7 @@ Follow the steps below to get Crewing! 🚣‍♂️
 
   1. Log in to your CrewAI Enterprise account (create a free account at [app.crewai.com](https://app.crewai.com))
   2. Open Crew Studio
-  3. Type what is the automation you're tryign to build
+  3. Type what is the automation you're trying to build
   4. Create your tasks visually and connect them in sequence
   5. Configure your inputs and click "Download Code" or "Deploy"
 

pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "crewai"
-version = "0.126.0"
+version = "0.130.0"
 description = "Cutting-edge framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks."
 readme = "README.md"
 requires-python = ">=3.10,<3.14"
@@ -47,7 +47,7 @@ Documentation = "https://docs.crewai.com"
 Repository = "https://github.com/crewAIInc/crewAI"
 
 [project.optional-dependencies]
-tools = ["crewai-tools~=0.46.0"]
+tools = ["crewai-tools~=0.47.1"]
 embeddings = [
     "tiktoken~=0.8.0"
 ]

src/crewai/__init__.py

@@ -18,7 +18,7 @@ warnings.filterwarnings(
     category=UserWarning,
     module="pydantic.main",
 )
-__version__ = "0.126.0"
+__version__ = "0.130.0"
 __all__ = [
     "Agent",
     "Crew",

src/crewai/agent.py

@@ -1,6 +1,6 @@
 import shutil
 import subprocess
-from typing import Any, Dict, List, Literal, Optional, Sequence, Type, Union
+from typing import Any, Callable, Dict, List, Literal, Optional, Sequence, Tuple, Type, Union
 
 from pydantic import Field, InstanceOf, PrivateAttr, model_validator
 
@@ -155,6 +155,13 @@ class Agent(BaseAgent):
         default=None,
         description="The Agent's role to be used from your repository.",
     )
+    guardrail: Optional[Union[Callable[[Any], Tuple[bool, Any]], str]] = Field(
+        default=None,
+        description="Function or string description of a guardrail to validate agent output"
+    )
+    guardrail_max_retries: int = Field(
+        default=3, description="Maximum number of retries when guardrail fails"
+    )
 
     @model_validator(mode="before")
     def validate_from_repository(cls, v):
@@ -780,6 +787,8 @@ class Agent(BaseAgent):
             response_format=response_format,
             i18n=self.i18n,
             original_agent=self,
+            guardrail=self.guardrail,
+            guardrail_max_retries=self.guardrail_max_retries,
         )
 
         return lite_agent.kickoff(messages)

src/crewai/agents/agent_builder/base_agent_executor_mixin.py

@@ -7,6 +7,7 @@ from crewai.utilities import I18N
 from crewai.utilities.converter import ConverterError
 from crewai.utilities.evaluators.task_evaluator import TaskEvaluator
 from crewai.utilities.printer import Printer
+from crewai.utilities.events.event_listener import event_listener
 
 if TYPE_CHECKING:
     from crewai.agents.agent_builder.base_agent import BaseAgent
@@ -125,33 +126,38 @@ class CrewAgentExecutorMixin:
 
     def _ask_human_input(self, final_answer: str) -> str:
         """Prompt human input with mode-appropriate messaging."""
-        self._printer.print(
-            content=f"\033[1m\033[95m ## Final Result:\033[00m \033[92m{final_answer}\033[00m"
-        )
-
-        # Training mode prompt (single iteration)
-        if self.crew and getattr(self.crew, "_train", False):
-            prompt = (
-                "\n\n=====\n"
-                "## TRAINING MODE: Provide feedback to improve the agent's performance.\n"
-                "This will be used to train better versions of the agent.\n"
-                "Please provide detailed feedback about the result quality and reasoning process.\n"
-                "=====\n"
-            )
-        # Regular human-in-the-loop prompt (multiple iterations)
-        else:
-            prompt = (
-                "\n\n=====\n"
-                "## HUMAN FEEDBACK: Provide feedback on the Final Result and Agent's actions.\n"
-                "Please follow these guidelines:\n"
-                " - If you are happy with the result, simply hit Enter without typing anything.\n"
-                " - Otherwise, provide specific improvement requests.\n"
-                " - You can provide multiple rounds of feedback until satisfied.\n"
-                "=====\n"
+        event_listener.formatter.pause_live_updates()
+        
+        try:
+            self._printer.print(
+                content=f"\033[1m\033[95m ## Final Result:\033[00m \033[92m{final_answer}\033[00m"
             )
 
-        self._printer.print(content=prompt, color="bold_yellow")
-        response = input()
-        if response.strip() != "":
-            self._printer.print(content="\nProcessing your feedback...", color="cyan")
-        return response
+            # Training mode prompt (single iteration)
+            if self.crew and getattr(self.crew, "_train", False):
+                prompt = (
+                    "\n\n=====\n"
+                    "## TRAINING MODE: Provide feedback to improve the agent's performance.\n"
+                    "This will be used to train better versions of the agent.\n"
+                    "Please provide detailed feedback about the result quality and reasoning process.\n"
+                    "=====\n"
+                )
+            # Regular human-in-the-loop prompt (multiple iterations)
+            else:
+                prompt = (
+                    "\n\n=====\n"
+                    "## HUMAN FEEDBACK: Provide feedback on the Final Result and Agent's actions.\n"
+                    "Please follow these guidelines:\n"
+                    " - If you are happy with the result, simply hit Enter without typing anything.\n"
+                    " - Otherwise, provide specific improvement requests.\n"
+                    " - You can provide multiple rounds of feedback until satisfied.\n"
+                    "=====\n"
+                )
+
+            self._printer.print(content=prompt, color="bold_yellow")
+            response = input()
+            if response.strip() != "":
+                self._printer.print(content="\nProcessing your feedback...", color="cyan")
+            return response
+        finally:
+            event_listener.formatter.resume_live_updates()

src/crewai/agents/crew_agent_executor.py

@@ -25,12 +25,16 @@ from crewai.utilities.agent_utils import (
     has_reached_max_iterations,
     is_context_length_exceeded,
     process_llm_response,
-    show_agent_logs,
 )
 from crewai.utilities.constants import MAX_LLM_RETRY, TRAINING_DATA_FILE
 from crewai.utilities.logger import Logger
 from crewai.utilities.tool_utils import execute_tool_and_check_finality
 from crewai.utilities.training_handler import CrewTrainingHandler
+from crewai.utilities.events.agent_events import (
+    AgentLogsStartedEvent,
+    AgentLogsExecutionEvent,
+)
+from crewai.utilities.events.crewai_event_bus import crewai_event_bus
 
 
 class CrewAgentExecutor(CrewAgentExecutorMixin):
@@ -263,26 +267,32 @@ class CrewAgentExecutor(CrewAgentExecutorMixin):
         """Show logs for the start of agent execution."""
         if self.agent is None:
             raise ValueError("Agent cannot be None")
-        show_agent_logs(
-            printer=self._printer,
-            agent_role=self.agent.role,
-            task_description=(
-                getattr(self.task, "description") if self.task else "Not Found"
+
+        crewai_event_bus.emit(
+            self.agent,
+            AgentLogsStartedEvent(
+                agent_role=self.agent.role,
+                task_description=(
+                    getattr(self.task, "description") if self.task else "Not Found"
+                ),
+                verbose=self.agent.verbose
+                or (hasattr(self, "crew") and getattr(self.crew, "verbose", False)),
             ),
-            verbose=self.agent.verbose
-            or (hasattr(self, "crew") and getattr(self.crew, "verbose", False)),
         )
 
     def _show_logs(self, formatted_answer: Union[AgentAction, AgentFinish]):
         """Show logs for the agent's execution."""
         if self.agent is None:
             raise ValueError("Agent cannot be None")
-        show_agent_logs(
-            printer=self._printer,
-            agent_role=self.agent.role,
-            formatted_answer=formatted_answer,
-            verbose=self.agent.verbose
-            or (hasattr(self, "crew") and getattr(self.crew, "verbose", False)),
+
+        crewai_event_bus.emit(
+            self.agent,
+            AgentLogsExecutionEvent(
+                agent_role=self.agent.role,
+                formatted_answer=formatted_answer,
+                verbose=self.agent.verbose
+                or (hasattr(self, "crew") and getattr(self.crew, "verbose", False)),
+            ),
         )
 
     def _summarize_messages(self) -> None:

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

@@ -5,7 +5,7 @@ description = "{{name}} using crewAI"
 authors = [{ name = "Your Name", email = "you@example.com" }]
 requires-python = ">=3.10,<3.14"
 dependencies = [
-    "crewai[tools]>=0.126.0,<1.0.0"
+    "crewai[tools]>=0.130.0,<1.0.0"
 ]
 
 [project.scripts]

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

@@ -5,7 +5,7 @@ description = "{{name}} using crewAI"
 authors = [{ name = "Your Name", email = "you@example.com" }]
 requires-python = ">=3.10,<3.14"
 dependencies = [
-    "crewai[tools]>=0.126.0,<1.0.0",
+    "crewai[tools]>=0.130.0,<1.0.0",
 ]
 
 [project.scripts]

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

@@ -5,7 +5,7 @@ description = "Power up your crews with {{folder_name}}"
 readme = "README.md"
 requires-python = ">=3.10,<3.14"
 dependencies = [
-    "crewai[tools]>=0.126.0"
+    "crewai[tools]>=0.130.0"
 ]
 
 [tool.crewai]

src/crewai/flow/flow_trackable.py

@@ -20,7 +20,8 @@ class FlowTrackable(BaseModel):
     )
 
     @model_validator(mode="after")
-    def _set_parent_flow(self, max_depth: int = 5) -> "FlowTrackable":
+    def _set_parent_flow(self) -> "FlowTrackable":
+        max_depth = 5
         frame = inspect.currentframe()
 
         try:

src/crewai/lite_agent.py

@@ -1,9 +1,33 @@
 import asyncio
+import inspect
 import uuid
-from datetime import datetime
-from typing import Any, Callable, Dict, List, Optional, Type, Union, cast
+from typing import (
+    Any,
+    Callable,
+    Dict,
+    List,
+    Optional,
+    Tuple,
+    Type,
+    Union,
+    cast,
+    get_args,
+    get_origin,
+)
 
-from pydantic import BaseModel, Field, InstanceOf, PrivateAttr, model_validator
+try:
+    from typing import Self
+except ImportError:
+    from typing_extensions import Self
+
+from pydantic import (
+    BaseModel,
+    Field,
+    InstanceOf,
+    PrivateAttr,
+    model_validator,
+    field_validator,
+)
 
 from crewai.agents.agent_builder.base_agent import BaseAgent
 from crewai.agents.agent_builder.utilities.base_token_process import TokenProcess
@@ -18,6 +42,7 @@ from crewai.llm import LLM
 from crewai.tools.base_tool import BaseTool
 from crewai.tools.structured_tool import CrewStructuredTool
 from crewai.utilities import I18N
+from crewai.utilities.guardrail import process_guardrail
 from crewai.utilities.agent_utils import (
     enforce_rpm_limit,
     format_message_for_llm,
@@ -33,10 +58,10 @@ from crewai.utilities.agent_utils import (
     parse_tools,
     process_llm_response,
     render_text_description_and_args,
-    show_agent_logs,
 )
-from crewai.utilities.converter import convert_to_model, generate_model_description
+from crewai.utilities.converter import generate_model_description
 from crewai.utilities.events.agent_events import (
+    AgentLogsExecutionEvent,
     LiteAgentExecutionCompletedEvent,
     LiteAgentExecutionErrorEvent,
     LiteAgentExecutionStartedEvent,
@@ -146,6 +171,17 @@ class LiteAgent(FlowTrackable, BaseModel):
         default=[], description="Callbacks to be used for the agent"
     )
 
+    # Guardrail Properties
+    guardrail: Optional[Union[Callable[[LiteAgentOutput], Tuple[bool, Any]], str]] = (
+        Field(
+            default=None,
+            description="Function or string description of a guardrail to validate agent output",
+        )
+    )
+    guardrail_max_retries: int = Field(
+        default=3, description="Maximum number of retries when guardrail fails"
+    )
+
     # State and Results
     tools_results: List[Dict[str, Any]] = Field(
         default=[], description="Results of the tools used by the agent."
@@ -163,6 +199,8 @@ class LiteAgent(FlowTrackable, BaseModel):
     _messages: List[Dict[str, str]] = PrivateAttr(default_factory=list)
     _iterations: int = PrivateAttr(default=0)
     _printer: Printer = PrivateAttr(default_factory=Printer)
+    _guardrail: Optional[Callable] = PrivateAttr(default=None)
+    _guardrail_retry_count: int = PrivateAttr(default=0)
 
     @model_validator(mode="after")
     def setup_llm(self):
@@ -184,6 +222,61 @@ class LiteAgent(FlowTrackable, BaseModel):
 
         return self
 
+    @model_validator(mode="after")
+    def ensure_guardrail_is_callable(self) -> Self:
+        if callable(self.guardrail):
+            self._guardrail = self.guardrail
+        elif isinstance(self.guardrail, str):
+            from crewai.tasks.llm_guardrail import LLMGuardrail
+
+            assert isinstance(self.llm, LLM)
+
+            self._guardrail = LLMGuardrail(description=self.guardrail, llm=self.llm)
+
+        return self
+
+    @field_validator("guardrail", mode="before")
+    @classmethod
+    def validate_guardrail_function(
+        cls, v: Optional[Union[Callable, str]]
+    ) -> Optional[Union[Callable, str]]:
+        """Validate that the guardrail function has the correct signature.
+
+        If v is a callable, validate that it has the correct signature.
+        If v is a string, return it as is.
+
+        Args:
+            v: The guardrail function to validate or a string describing the guardrail task
+
+        Returns:
+            The validated guardrail function or a string describing the guardrail task
+        """
+        if v is None or isinstance(v, str):
+            return v
+
+        # Check function signature
+        sig = inspect.signature(v)
+        if len(sig.parameters) != 1:
+            raise ValueError(
+                f"Guardrail function must accept exactly 1 parameter (LiteAgentOutput), "
+                f"but it accepts {len(sig.parameters)}"
+            )
+
+        # Check return annotation if present
+        if sig.return_annotation is not sig.empty:
+            if sig.return_annotation == Tuple[bool, Any]:
+                return v
+
+            origin = get_origin(sig.return_annotation)
+            args = get_args(sig.return_annotation)
+
+            if origin is not tuple or len(args) != 2 or args[0] is not bool:
+                raise ValueError(
+                    "If return type is annotated, it must be Tuple[bool, Any]"
+                )
+
+        return v
+
     @property
     def key(self) -> str:
         """Get the unique key for this agent instance."""
@@ -223,54 +316,7 @@ class LiteAgent(FlowTrackable, BaseModel):
             # Format messages for the LLM
             self._messages = self._format_messages(messages)
 
-            # Emit event for agent execution start
-            crewai_event_bus.emit(
-                self,
-                event=LiteAgentExecutionStartedEvent(
-                    agent_info=agent_info,
-                    tools=self._parsed_tools,
-                    messages=messages,
-                ),
-            )
-
-            # Execute the agent using invoke loop
-            agent_finish = self._invoke_loop()
-            formatted_result: Optional[BaseModel] = None
-            if self.response_format:
-                try:
-                    # Cast to BaseModel to ensure type safety
-                    result = self.response_format.model_validate_json(
-                        agent_finish.output
-                    )
-                    if isinstance(result, BaseModel):
-                        formatted_result = result
-                except Exception as e:
-                    self._printer.print(
-                        content=f"Failed to parse output into response format: {str(e)}",
-                        color="yellow",
-                    )
-
-            # Calculate token usage metrics
-            usage_metrics = self._token_process.get_summary()
-
-            # Create output
-            output = LiteAgentOutput(
-                raw=agent_finish.output,
-                pydantic=formatted_result,
-                agent_role=self.role,
-                usage_metrics=usage_metrics.model_dump() if usage_metrics else None,
-            )
-
-            # Emit completion event
-            crewai_event_bus.emit(
-                self,
-                event=LiteAgentExecutionCompletedEvent(
-                    agent_info=agent_info,
-                    output=agent_finish.output,
-                ),
-            )
-
-            return output
+            return self._execute_core(agent_info=agent_info)
 
         except Exception as e:
             self._printer.print(
@@ -288,6 +334,95 @@ class LiteAgent(FlowTrackable, BaseModel):
             )
             raise e
 
+    def _execute_core(self, agent_info: Dict[str, Any]) -> LiteAgentOutput:
+        # Emit event for agent execution start
+        crewai_event_bus.emit(
+            self,
+            event=LiteAgentExecutionStartedEvent(
+                agent_info=agent_info,
+                tools=self._parsed_tools,
+                messages=self._messages,
+            ),
+        )
+
+        # Execute the agent using invoke loop
+        agent_finish = self._invoke_loop()
+        formatted_result: Optional[BaseModel] = None
+        if self.response_format:
+            try:
+                # Cast to BaseModel to ensure type safety
+                result = self.response_format.model_validate_json(agent_finish.output)
+                if isinstance(result, BaseModel):
+                    formatted_result = result
+            except Exception as e:
+                self._printer.print(
+                    content=f"Failed to parse output into response format: {str(e)}",
+                    color="yellow",
+                )
+
+        # Calculate token usage metrics
+        usage_metrics = self._token_process.get_summary()
+
+        # Create output
+        output = LiteAgentOutput(
+            raw=agent_finish.output,
+            pydantic=formatted_result,
+            agent_role=self.role,
+            usage_metrics=usage_metrics.model_dump() if usage_metrics else None,
+        )
+
+        # Process guardrail if set
+        if self._guardrail is not None:
+            guardrail_result = process_guardrail(
+                output=output,
+                guardrail=self._guardrail,
+                retry_count=self._guardrail_retry_count,
+            )
+
+            if not guardrail_result.success:
+                if self._guardrail_retry_count >= self.guardrail_max_retries:
+                    raise Exception(
+                        f"Agent's guardrail failed validation after {self.guardrail_max_retries} retries. "
+                        f"Last error: {guardrail_result.error}"
+                    )
+                self._guardrail_retry_count += 1
+                if self.verbose:
+                    self._printer.print(
+                        f"Guardrail failed. Retrying ({self._guardrail_retry_count}/{self.guardrail_max_retries})..."
+                        f"\n{guardrail_result.error}"
+                    )
+
+                self._messages.append(
+                    {
+                        "role": "user",
+                        "content": guardrail_result.error
+                        or "Guardrail validation failed",
+                    }
+                )
+
+                return self._execute_core(agent_info=agent_info)
+
+            # Apply guardrail result if available
+            if guardrail_result.result is not None:
+                if isinstance(guardrail_result.result, str):
+                    output.raw = guardrail_result.result
+                elif isinstance(guardrail_result.result, BaseModel):
+                    output.pydantic = guardrail_result.result
+
+            usage_metrics = self._token_process.get_summary()
+            output.usage_metrics = usage_metrics.model_dump() if usage_metrics else None
+
+        # Emit completion event
+        crewai_event_bus.emit(
+            self,
+            event=LiteAgentExecutionCompletedEvent(
+                agent_info=agent_info,
+                output=agent_finish.output,
+            ),
+        )
+
+        return output
+
     async def kickoff_async(
         self, messages: Union[str, List[Dict[str, str]]]
     ) -> LiteAgentOutput:
@@ -467,11 +602,13 @@ class LiteAgent(FlowTrackable, BaseModel):
 
     def _show_logs(self, formatted_answer: Union[AgentAction, AgentFinish]):
         """Show logs for the agent's execution."""
-        show_agent_logs(
-            printer=self._printer,
-            agent_role=self.role,
-            formatted_answer=formatted_answer,
-            verbose=self.verbose,
+        crewai_event_bus.emit(
+            self,
+            AgentLogsExecutionEvent(
+                agent_role=self.role,
+                formatted_answer=formatted_answer,
+                verbose=self.verbose,
+            ),
         )
 
     def _append_message(self, text: str, role: str = "assistant") -> None:

src/crewai/memory/storage/mem0_storage.py

@@ -4,6 +4,9 @@ from typing import Any, Dict, List
 from mem0 import Memory, MemoryClient
 
 from crewai.memory.storage.interface import Storage
+from crewai.utilities.chromadb import sanitize_collection_name
+
+MAX_AGENT_ID_LENGTH_MEM0 = 255
 
 
 class Mem0Storage(Storage):
@@ -134,7 +137,7 @@ class Mem0Storage(Storage):
         agents = self.crew.agents
         agents = [self._sanitize_role(agent.role) for agent in agents]
         agents = "_".join(agents)
-        return agents
+        return sanitize_collection_name(name=agents,max_collection_length=MAX_AGENT_ID_LENGTH_MEM0)
 
     def _get_config(self) -> Dict[str, Any]:
         return self.config or getattr(self, "memory_config", {}).get("config", {}) or {}

src/crewai/task.py

@@ -35,12 +35,12 @@ from pydantic_core import PydanticCustomError
 
 from crewai.agents.agent_builder.base_agent import BaseAgent
 from crewai.security import Fingerprint, SecurityConfig
-from crewai.tasks.guardrail_result import GuardrailResult
 from crewai.tasks.output_format import OutputFormat
 from crewai.tasks.task_output import TaskOutput
 from crewai.tools.base_tool import BaseTool
 from crewai.utilities.config import process_config
 from crewai.utilities.constants import NOT_SPECIFIED
+from crewai.utilities.guardrail import process_guardrail, GuardrailResult
 from crewai.utilities.converter import Converter, convert_to_model
 from crewai.utilities.events import (
     TaskCompletedEvent,
@@ -431,7 +431,11 @@ class Task(BaseModel):
             )
 
             if self._guardrail:
-                guardrail_result = self._process_guardrail(task_output)
+                guardrail_result = process_guardrail(
+                    output=task_output,
+                    guardrail=self._guardrail,
+                    retry_count=self.retry_count
+                )
                 if not guardrail_result.success:
                     if self.retry_count >= self.max_retries:
                         raise Exception(
@@ -527,10 +531,10 @@ class Task(BaseModel):
 
     def prompt(self) -> str:
         """Generates the task prompt with optional markdown formatting.
-        
+
         When the markdown attribute is True, instructions for formatting the
         response in Markdown syntax will be added to the prompt.
-        
+
         Returns:
             str: The formatted prompt string containing the task description,
                  expected output, and optional markdown formatting instructions.
@@ -541,7 +545,7 @@ class Task(BaseModel):
             expected_output=self.expected_output
         )
         tasks_slices = [self.description, output]
-        
+
         if self.markdown:
             markdown_instruction = """Your final answer MUST be formatted in Markdown syntax.
 Follow these guidelines:

src/crewai/telemetry/telemetry.py

@@ -8,7 +8,7 @@ import platform
 import warnings
 from contextlib import contextmanager
 from importlib.metadata import version
-from typing import TYPE_CHECKING, Any, Optional
+from typing import TYPE_CHECKING, Any, Callable, Optional
 import threading
 
 from opentelemetry import trace
@@ -73,11 +73,16 @@ class Telemetry:
             with cls._lock:
                 if cls._instance is None:
                     cls._instance = super(Telemetry, cls).__new__(cls)
+                    cls._instance._initialized = False
         return cls._instance
 
     def __init__(self) -> None:
+        if hasattr(self, '_initialized') and self._initialized:
+            return
+        
         self.ready: bool = False
         self.trace_set: bool = False
+        self._initialized: bool = True
 
         if self._is_telemetry_disabled():
             return
@@ -113,6 +118,10 @@ class Telemetry:
             or os.getenv("CREWAI_DISABLE_TELEMETRY", "false").lower() == "true"
         )
 
+    def _should_execute_telemetry(self) -> bool:
+        """Check if telemetry operations should be executed."""
+        return self.ready and not self._is_telemetry_disabled()
+
     def set_tracer(self):
         if self.ready and not self.trace_set:
             try:
@@ -123,8 +132,9 @@ class Telemetry:
                 self.ready = False
                 self.trace_set = False
 
-    def _safe_telemetry_operation(self, operation):
-        if not self.ready:
+    def _safe_telemetry_operation(self, operation: Callable[[], None]) -> None:
+        """Execute telemetry operation safely, checking both readiness and environment variables."""
+        if not self._should_execute_telemetry():
             return
         try:
             operation()
@@ -423,7 +433,8 @@ class Telemetry:
 
             return span
 
-        return self._safe_telemetry_operation(operation)
+        self._safe_telemetry_operation(operation)
+        return None
 
     def task_ended(self, span: Span, task: Task, crew: Crew):
         """Records the completion of a task execution in a crew.
@@ -773,7 +784,8 @@ class Telemetry:
             return span
 
         if crew.share_crew:
-            return self._safe_telemetry_operation(operation)
+            self._safe_telemetry_operation(operation)
+            return operation()
         return None
 
     def end_crew(self, crew, final_string_output):

src/crewai/tools/base_tool.py

@@ -64,7 +64,7 @@ class BaseTool(BaseModel, ABC):
                 },
             },
         )
-        
+
     @field_validator("max_usage_count", mode="before")
     @classmethod
     def validate_max_usage_count(cls, v: int | None) -> int | None:
@@ -88,11 +88,11 @@ class BaseTool(BaseModel, ABC):
         # If _run is async, we safely run it
         if asyncio.iscoroutine(result):
             result = asyncio.run(result)
-            
+
         self.current_usage_count += 1
-        
+
         return result
-        
+
     def reset_usage_count(self) -> None:
         """Reset the current usage count to zero."""
         self.current_usage_count = 0
@@ -279,7 +279,7 @@ def to_langchain(
 def tool(*args, result_as_answer: bool = False, max_usage_count: int | None = None) -> Callable:
     """
     Decorator to create a tool from a function.
-    
+
     Args:
         *args: Positional arguments, either the function to decorate or the tool name.
         result_as_answer: Flag to indicate if the tool result should be used as the final agent answer.

src/crewai/utilities/chromadb.py

@@ -23,7 +23,7 @@ def is_ipv4_pattern(name: str) -> bool:
     return bool(IPV4_PATTERN.match(name))
 
 
-def sanitize_collection_name(name: Optional[str]) -> str:
+def sanitize_collection_name(name: Optional[str], max_collection_length: int = MAX_COLLECTION_LENGTH) -> str:
     """
     Sanitize a collection name to meet ChromaDB requirements:
     1. 3-63 characters long
@@ -54,8 +54,8 @@ def sanitize_collection_name(name: Optional[str]) -> str:
 
     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 len(sanitized) > max_collection_length:
+        sanitized = sanitized[:max_collection_length]
         if not sanitized[-1].isalnum():
             sanitized = sanitized[:-1] + "z"
 

src/crewai/utilities/events/agent_events.py

@@ -102,3 +102,24 @@ class LiteAgentExecutionErrorEvent(BaseEvent):
     agent_info: Dict[str, Any]
     error: str
     type: str = "lite_agent_execution_error"
+
+
+# New logging events
+class AgentLogsStartedEvent(BaseEvent):
+    """Event emitted when agent logs should be shown at start"""
+
+    agent_role: str
+    task_description: Optional[str] = None
+    verbose: bool = False
+    type: str = "agent_logs_started"
+
+
+class AgentLogsExecutionEvent(BaseEvent):
+    """Event emitted when agent logs should be shown during execution"""
+
+    agent_role: str
+    formatted_answer: Any
+    verbose: bool = False
+    type: str = "agent_logs_execution"
+
+    model_config = {"arbitrary_types_allowed": True}

src/crewai/utilities/events/event_listener.py

@@ -27,6 +27,8 @@ from crewai.utilities.events.utils.console_formatter import ConsoleFormatter
 from .agent_events import (
     AgentExecutionCompletedEvent,
     AgentExecutionStartedEvent,
+    AgentLogsStartedEvent,
+    AgentLogsExecutionEvent,
     LiteAgentExecutionCompletedEvent,
     LiteAgentExecutionErrorEvent,
     LiteAgentExecutionStartedEvent,
@@ -108,6 +110,7 @@ class EventListener(BaseEventListener):
                 event.crew_name or "Crew",
                 source.id,
                 "completed",
+                final_string_output,
             )
 
         @crewai_event_bus.on(CrewKickoffFailedEvent)
@@ -286,13 +289,14 @@ class EventListener(BaseEventListener):
             if isinstance(source, LLM):
                 self.formatter.handle_llm_tool_usage_started(
                     event.tool_name,
+                    event.tool_args,
                 )
             else:
                 self.formatter.handle_tool_usage_started(
                     self.formatter.current_agent_branch,
                     event.tool_name,
-                self.formatter.current_crew_tree,
-            )
+                    self.formatter.current_crew_tree,
+                )
 
         @crewai_event_bus.on(ToolUsageFinishedEvent)
         def on_tool_usage_finished(source, event: ToolUsageFinishedEvent):
@@ -320,16 +324,20 @@ class EventListener(BaseEventListener):
                     event.tool_name,
                     event.error,
                     self.formatter.current_crew_tree,
-            )
+                )
 
         # ----------- LLM EVENTS -----------
 
         @crewai_event_bus.on(LLMCallStartedEvent)
         def on_llm_call_started(source, event: LLMCallStartedEvent):
-            self.formatter.handle_llm_call_started(
+            # Capture the returned tool branch and update the current_tool_branch reference
+            thinking_branch = self.formatter.handle_llm_call_started(
                 self.formatter.current_agent_branch,
                 self.formatter.current_crew_tree,
             )
+            # Update the formatter's current_tool_branch to ensure proper cleanup
+            if thinking_branch is not None:
+                self.formatter.current_tool_branch = thinking_branch
 
         @crewai_event_bus.on(LLMCallCompletedEvent)
         def on_llm_call_completed(source, event: LLMCallCompletedEvent):
@@ -462,5 +470,23 @@ class EventListener(BaseEventListener):
                 self.formatter.current_crew_tree,
             )
 
+        # ----------- AGENT LOGGING EVENTS -----------
+
+        @crewai_event_bus.on(AgentLogsStartedEvent)
+        def on_agent_logs_started(source, event: AgentLogsStartedEvent):
+            self.formatter.handle_agent_logs_started(
+                event.agent_role,
+                event.task_description,
+                event.verbose,
+            )
+
+        @crewai_event_bus.on(AgentLogsExecutionEvent)
+        def on_agent_logs_execution(source, event: AgentLogsExecutionEvent):
+            self.formatter.handle_agent_logs_execution(
+                event.agent_role,
+                event.formatted_answer,
+                event.verbose,
+            )
+
 
 event_listener = EventListener()

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

@@ -5,6 +5,7 @@ from rich.panel import Panel
 from rich.text import Text
 from rich.tree import Tree
 from rich.live import Live
+from rich.syntax import Syntax
 
 
 class ConsoleFormatter:
@@ -17,6 +18,7 @@ class ConsoleFormatter:
     current_lite_agent_branch: Optional[Tree] = None
     tool_usage_counts: Dict[str, int] = {}
     current_reasoning_branch: Optional[Tree] = None  # Track reasoning status
+    _live_paused: bool = False
     current_llm_tool_tree: Optional[Tree] = None
 
     def __init__(self, verbose: bool = False):
@@ -39,7 +41,12 @@ class ConsoleFormatter:
         )
 
     def create_status_content(
-        self, title: str, name: str, status_style: str = "blue", **fields
+        self,
+        title: str,
+        name: str,
+        status_style: str = "blue",
+        tool_args: Dict[str, Any] | str = "",
+        **fields,
     ) -> Text:
         """Create standardized status content with consistent formatting."""
         content = Text()
@@ -52,6 +59,8 @@ class ConsoleFormatter:
             content.append(
                 f"{value}\n", style=fields.get(f"{label}_style", status_style)
             )
+        content.append("Tool Args: ", style="white")
+        content.append(f"{tool_args}\n", style=status_style)
 
         return content
 
@@ -119,6 +128,19 @@ class ConsoleFormatter:
         # Finally, pass through to the regular Console.print implementation
         self.console.print(*args, **kwargs)
 
+    def pause_live_updates(self) -> None:
+        """Pause Live session updates to allow for human input without interference."""
+        if not self._live_paused:
+            if self._live:
+                self._live.stop()
+                self._live = None
+            self._live_paused = True
+
+    def resume_live_updates(self) -> None:
+        """Resume Live session updates after human input is complete."""
+        if self._live_paused:
+            self._live_paused = False
+
     def print_panel(
         self, content: Text, title: str, style: str = "blue", is_flow: bool = False
     ) -> None:
@@ -138,6 +160,7 @@ class ConsoleFormatter:
         crew_name: str,
         source_id: str,
         status: str = "completed",
+        final_string_output: str = "",
     ) -> None:
         """Handle crew tree updates with consistent formatting."""
         if not self.verbose or tree is None:
@@ -169,6 +192,7 @@ class ConsoleFormatter:
             style,
             ID=source_id,
         )
+        content.append(f"Final Output: {final_string_output}\n", style="white")
 
         self.print_panel(content, title, style)
 
@@ -441,12 +465,19 @@ class ConsoleFormatter:
     def handle_llm_tool_usage_started(
         self,
         tool_name: str,
+        tool_args: Dict[str, Any] | str,
     ):
-        tree = self.get_llm_tree(tool_name)
-        self.add_tree_node(tree, "🔄 Tool Usage Started", "green")
-        self.print(tree)
+        # Create status content for the tool usage
+        content = self.create_status_content(
+            "Tool Usage Started", tool_name, Status="In Progress", tool_args=tool_args
+        )
+
+        # Create and print the panel
+        self.print_panel(content, "Tool Usage", "green")
         self.print()
-        return tree
+
+        # Still return the tree for compatibility with existing code
+        return self.get_llm_tree(tool_name)
 
     def handle_llm_tool_usage_finished(
         self,
@@ -477,6 +508,7 @@ class ConsoleFormatter:
         agent_branch: Optional[Tree],
         tool_name: str,
         crew_tree: Optional[Tree],
+        tool_args: Dict[str, Any] | str = "",
     ) -> Optional[Tree]:
         """Handle tool usage started event."""
         if not self.verbose:
@@ -484,9 +516,7 @@ class ConsoleFormatter:
 
         # Parent for tool usage: LiteAgent > Agent > Task
         branch_to_use = (
-            self.current_lite_agent_branch
-            or agent_branch
-            or self.current_task_branch
+            self.current_lite_agent_branch or agent_branch or self.current_task_branch
         )
 
         # Render full crew tree when available for consistent live updates
@@ -595,9 +625,7 @@ class ConsoleFormatter:
 
         # Parent for tool usage: LiteAgent > Agent > Task
         branch_to_use = (
-            self.current_lite_agent_branch
-            or agent_branch
-            or self.current_task_branch
+            self.current_lite_agent_branch or agent_branch or self.current_task_branch
         )
 
         # Render full crew tree when available for consistent live updates
@@ -611,14 +639,21 @@ class ConsoleFormatter:
                 return None
 
         # Only add thinking status if we don't have a current tool branch
-        if self.current_tool_branch is None:
+        # or if the current tool branch is not a thinking node
+        should_add_thinking = self.current_tool_branch is None or "Thinking" not in str(
+            self.current_tool_branch.label
+        )
+
+        if should_add_thinking:
             tool_branch = branch_to_use.add("")
             self.update_tree_label(tool_branch, "🧠", "Thinking...", "blue")
             self.current_tool_branch = tool_branch
             self.print(tree_to_use)
             self.print()
             return tool_branch
-        return None
+
+        # Return the existing tool branch if it's already a thinking node
+        return self.current_tool_branch
 
     def handle_llm_call_completed(
         self,
@@ -627,7 +662,7 @@ class ConsoleFormatter:
         crew_tree: Optional[Tree],
     ) -> None:
         """Handle LLM call completed event."""
-        if not self.verbose or tool_branch is None:
+        if not self.verbose:
             return
 
         # Decide which tree to render: prefer full crew tree, else parent branch
@@ -635,23 +670,50 @@ class ConsoleFormatter:
         if tree_to_use is None:
             return
 
-        # Remove the thinking status node when complete
-        if "Thinking" in str(tool_branch.label):
+        # Try to remove the thinking status node - first try the provided tool_branch
+        thinking_branch_to_remove = None
+        removed = False
+
+        # Method 1: Use the provided tool_branch if it's a thinking node
+        if tool_branch is not None and "Thinking" in str(tool_branch.label):
+            thinking_branch_to_remove = tool_branch
+
+        # Method 2: Fallback - search for any thinking node if tool_branch is None or not thinking
+        if thinking_branch_to_remove is None:
             parents = [
                 self.current_lite_agent_branch,
                 self.current_agent_branch,
                 self.current_task_branch,
                 tree_to_use,
             ]
-            removed = False
             for parent in parents:
-                if isinstance(parent, Tree) and tool_branch in parent.children:
-                    parent.children.remove(tool_branch)
+                if isinstance(parent, Tree):
+                    for child in parent.children:
+                        if "Thinking" in str(child.label):
+                            thinking_branch_to_remove = child
+                            break
+                    if thinking_branch_to_remove:
+                        break
+
+        # Remove the thinking node if found
+        if thinking_branch_to_remove:
+            parents = [
+                self.current_lite_agent_branch,
+                self.current_agent_branch,
+                self.current_task_branch,
+                tree_to_use,
+            ]
+            for parent in parents:
+                if (
+                    isinstance(parent, Tree)
+                    and thinking_branch_to_remove in parent.children
+                ):
+                    parent.children.remove(thinking_branch_to_remove)
                     removed = True
                     break
 
             # Clear pointer if we just removed the current_tool_branch
-            if self.current_tool_branch is tool_branch:
+            if self.current_tool_branch is thinking_branch_to_remove:
                 self.current_tool_branch = None
 
             if removed:
@@ -668,9 +730,36 @@ class ConsoleFormatter:
         # Decide which tree to render: prefer full crew tree, else parent branch
         tree_to_use = self.current_crew_tree or crew_tree or self.current_task_branch
 
-        # Update tool branch if it exists
-        if tool_branch:
-            tool_branch.label = Text("❌ LLM Failed", style="red bold")
+        # Find the thinking branch to update (similar to completion logic)
+        thinking_branch_to_update = None
+
+        # Method 1: Use the provided tool_branch if it's a thinking node
+        if tool_branch is not None and "Thinking" in str(tool_branch.label):
+            thinking_branch_to_update = tool_branch
+
+        # Method 2: Fallback - search for any thinking node if tool_branch is None or not thinking
+        if thinking_branch_to_update is None:
+            parents = [
+                self.current_lite_agent_branch,
+                self.current_agent_branch,
+                self.current_task_branch,
+                tree_to_use,
+            ]
+            for parent in parents:
+                if isinstance(parent, Tree):
+                    for child in parent.children:
+                        if "Thinking" in str(child.label):
+                            thinking_branch_to_update = child
+                            break
+                    if thinking_branch_to_update:
+                        break
+
+        # Update the thinking branch to show failure
+        if thinking_branch_to_update:
+            thinking_branch_to_update.label = Text("❌ LLM Failed", style="red bold")
+            # Clear the current_tool_branch reference
+            if self.current_tool_branch is thinking_branch_to_update:
+                self.current_tool_branch = None
             if tree_to_use:
                 self.print(tree_to_use)
                 self.print()
@@ -1113,9 +1202,7 @@ class ConsoleFormatter:
 
         # Prefer LiteAgent > Agent > Task branch as the parent for reasoning
         branch_to_use = (
-            self.current_lite_agent_branch
-            or agent_branch
-            or self.current_task_branch
+            self.current_lite_agent_branch or agent_branch or self.current_task_branch
         )
 
         # We always want to render the full crew tree when possible so the
@@ -1162,7 +1249,9 @@ class ConsoleFormatter:
         )
 
         style = "green" if ready else "yellow"
-        status_text = "Reasoning Completed" if ready else "Reasoning Completed (Not Ready)"
+        status_text = (
+            "Reasoning Completed" if ready else "Reasoning Completed (Not Ready)"
+        )
 
         if reasoning_branch is not None:
             self.update_tree_label(reasoning_branch, "✅", status_text, style)
@@ -1219,3 +1308,149 @@ class ConsoleFormatter:
 
         # Clear stored branch after failure
         self.current_reasoning_branch = None
+
+    # ----------- AGENT LOGGING EVENTS -----------
+
+    def handle_agent_logs_started(
+        self,
+        agent_role: str,
+        task_description: Optional[str] = None,
+        verbose: bool = False,
+    ) -> None:
+        """Handle agent logs started event."""
+        if not verbose:
+            return
+
+        agent_role = agent_role.split("\n")[0]
+
+        # Create panel content
+        content = Text()
+        content.append("Agent: ", style="white")
+        content.append(f"{agent_role}", style="bright_green bold")
+
+        if task_description:
+            content.append("\n\nTask: ", style="white")
+            content.append(f"{task_description}", style="bright_green")
+
+        # Create and display the panel
+        agent_panel = Panel(
+            content,
+            title="🤖 Agent Started",
+            border_style="magenta",
+            padding=(1, 2),
+        )
+        self.print(agent_panel)
+        self.print()
+
+    def handle_agent_logs_execution(
+        self,
+        agent_role: str,
+        formatted_answer: Any,
+        verbose: bool = False,
+    ) -> None:
+        """Handle agent logs execution event."""
+        if not verbose:
+            return
+
+        from crewai.agents.parser import AgentAction, AgentFinish
+        import json
+        import re
+
+        agent_role = agent_role.split("\n")[0]
+
+        if isinstance(formatted_answer, AgentAction):
+            thought = re.sub(r"\n+", "\n", formatted_answer.thought)
+            formatted_json = json.dumps(
+                formatted_answer.tool_input,
+                indent=2,
+                ensure_ascii=False,
+            )
+
+            # Create content for the action panel
+            content = Text()
+            content.append("Agent: ", style="white")
+            content.append(f"{agent_role}\n\n", style="bright_green bold")
+
+            if thought and thought != "":
+                content.append("Thought: ", style="white")
+                content.append(f"{thought}\n\n", style="bright_green")
+
+            content.append("Using Tool: ", style="white")
+            content.append(f"{formatted_answer.tool}\n\n", style="bright_green bold")
+
+            content.append("Tool Input:\n", style="white")
+
+            # Create a syntax-highlighted JSON code block
+            json_syntax = Syntax(
+                formatted_json,
+                "json",
+                theme="monokai",
+                line_numbers=False,
+                background_color="default",
+            )
+
+            content.append("\n")
+
+            # Create separate panels for better organization
+            main_content = Text()
+            main_content.append("Agent: ", style="white")
+            main_content.append(f"{agent_role}\n\n", style="bright_green bold")
+
+            if thought and thought != "":
+                main_content.append("Thought: ", style="white")
+                main_content.append(f"{thought}\n\n", style="bright_green")
+
+            main_content.append("Using Tool: ", style="white")
+            main_content.append(f"{formatted_answer.tool}", style="bright_green bold")
+
+            # Create the main action panel
+            action_panel = Panel(
+                main_content,
+                title="🔧 Agent Tool Execution",
+                border_style="magenta",
+                padding=(1, 2),
+            )
+
+            # Create the JSON input panel
+            input_panel = Panel(
+                json_syntax,
+                title="Tool Input",
+                border_style="blue",
+                padding=(1, 2),
+            )
+
+            # Create tool output content with better formatting
+            output_text = str(formatted_answer.result)
+            if len(output_text) > 2000:
+                output_text = output_text[:1997] + "..."
+
+            output_panel = Panel(
+                Text(output_text, style="bright_green"),
+                title="Tool Output",
+                border_style="green",
+                padding=(1, 2),
+            )
+
+            # Print all panels
+            self.print(action_panel)
+            self.print(input_panel)
+            self.print(output_panel)
+            self.print()
+
+        elif isinstance(formatted_answer, AgentFinish):
+            # Create content for the finish panel
+            content = Text()
+            content.append("Agent: ", style="white")
+            content.append(f"{agent_role}\n\n", style="bright_green bold")
+            content.append("Final Answer:\n", style="white")
+            content.append(f"{formatted_answer.output}", style="bright_green")
+
+            # Create and display the finish panel
+            finish_panel = Panel(
+                content,
+                title="✅ Agent Final Answer",
+                border_style="green",
+                padding=(1, 2),
+            )
+            self.print(finish_panel)
+            self.print()

src/crewai/utilities/guardrail.py

@@ -1,15 +1,7 @@
-"""
-Module for handling task guardrail validation results.
-
-This module provides the GuardrailResult class which standardizes
-the way task guardrails return their validation results.
-"""
-
-from typing import Any, Optional, Tuple, Union
+from typing import Any, Callable, Optional, Tuple, Union
 
 from pydantic import BaseModel, field_validator
 
-
 class GuardrailResult(BaseModel):
     """Result from a task guardrail execution.
 
@@ -54,3 +46,48 @@ class GuardrailResult(BaseModel):
             result=data if success else None,
             error=data if not success else None
         )
+
+
+def process_guardrail(output: Any, guardrail: Callable, retry_count: int) -> GuardrailResult:
+    """Process the guardrail for the agent output.
+
+    Args:
+        output: The output to validate with the guardrail
+
+    Returns:
+        GuardrailResult: The result of the guardrail validation
+    """
+    from crewai.task import TaskOutput
+    from crewai.lite_agent import LiteAgentOutput
+
+    assert isinstance(output, TaskOutput) or isinstance(output, LiteAgentOutput), "Output must be a TaskOutput or LiteAgentOutput"
+
+    assert guardrail is not None
+
+    from crewai.utilities.events import (
+        LLMGuardrailCompletedEvent,
+        LLMGuardrailStartedEvent,
+    )
+    from crewai.utilities.events.crewai_event_bus import crewai_event_bus
+
+    crewai_event_bus.emit(
+        None,
+        LLMGuardrailStartedEvent(
+            guardrail=guardrail, retry_count=retry_count
+        ),
+    )
+
+    result = guardrail(output)
+    guardrail_result = GuardrailResult.from_tuple(result)
+
+    crewai_event_bus.emit(
+        None,
+        LLMGuardrailCompletedEvent(
+            success=guardrail_result.success,
+            result=guardrail_result.result,
+            error=guardrail_result.error,
+            retry_count=retry_count,
+        ),
+    )
+
+    return guardrail_result

tests/agent_test.py

@@ -501,8 +501,7 @@ def test_agent_custom_max_iterations():
 def test_agent_repeated_tool_usage(capsys):
     @tool
     def get_final_answer() -> float:
-        """Get the final answer but don't give it yet, just re-use this
-        tool non-stop."""
+        """Get the final answer but don't give it yet, just re-use this tool non-stop."""
         return 42
 
     agent = Agent(
@@ -527,12 +526,42 @@ def test_agent_repeated_tool_usage(capsys):
     )
 
     captured = capsys.readouterr()
-
-    assert (
-        "I tried reusing the same input, I must stop using this action input. I'll try something else instead."
-        in captured.out
+    output = (
+        captured.out.replace("\n", " ")
+        .replace("  ", " ")
+        .strip()
+        .replace("╭", "")
+        .replace("╮", "")
+        .replace("╯", "")
+        .replace("╰", "")
+        .replace("│", "")
+        .replace("─", "")
+        .replace("[", "")
+        .replace("]", "")
+        .replace("bold", "")
+        .replace("blue", "")
+        .replace("yellow", "")
+        .replace("green", "")
+        .replace("red", "")
+        .replace("dim", "")
+        .replace("🤖", "")
+        .replace("🔧", "")
+        .replace("✅", "")
+        .replace("\x1b[93m", "")
+        .replace("\x1b[00m", "")
+        .replace("\\", "")
+        .replace('"', "")
+        .replace("'", "")
     )
 
+    # Look for the message in the normalized output, handling the apostrophe difference
+    expected_message = (
+        "I tried reusing the same input, I must stop using this action input."
+    )
+    assert (
+        expected_message in output
+    ), f"Expected message not found in output. Output was: {output}"
+
 
 @pytest.mark.vcr(filter_headers=["authorization"])
 def test_agent_repeated_tool_usage_check_even_with_disabled_cache(capsys):
@@ -564,11 +593,43 @@ def test_agent_repeated_tool_usage_check_even_with_disabled_cache(capsys):
     )
 
     captured = capsys.readouterr()
-    assert (
-        "I tried reusing the same input, I must stop using this action input. I'll try something else instead."
-        in captured.out
+    output = (
+        captured.out.replace("\n", " ")
+        .replace("  ", " ")
+        .strip()
+        .replace("╭", "")
+        .replace("╮", "")
+        .replace("╯", "")
+        .replace("╰", "")
+        .replace("│", "")
+        .replace("─", "")
+        .replace("[", "")
+        .replace("]", "")
+        .replace("bold", "")
+        .replace("blue", "")
+        .replace("yellow", "")
+        .replace("green", "")
+        .replace("red", "")
+        .replace("dim", "")
+        .replace("🤖", "")
+        .replace("🔧", "")
+        .replace("✅", "")
+        .replace("\x1b[93m", "")
+        .replace("\x1b[00m", "")
+        .replace("\\", "")
+        .replace('"', "")
+        .replace("'", "")
     )
 
+    # Look for the message in the normalized output, handling the apostrophe difference
+    expected_message = (
+        "I tried reusing the same input, I must stop using this action input"
+    )
+
+    assert (
+        expected_message in output
+    ), f"Expected message not found in output. Output was: {output}"
+
 
 @pytest.mark.vcr(filter_headers=["authorization"])
 def test_agent_moved_on_after_max_iterations():
@@ -2092,7 +2153,12 @@ def test_agent_from_repository_with_invalid_tools(mock_get_agent, mock_get_auth_
         "role": "test role",
         "goal": "test goal",
         "backstory": "test backstory",
-        "tools": [{"name": "DoesNotExist", "module": "crewai_tools",}],
+        "tools": [
+            {
+                "name": "DoesNotExist",
+                "module": "crewai_tools",
+            }
+        ],
     }
     mock_get_agent.return_value = mock_get_response
     with pytest.raises(
@@ -2131,7 +2197,9 @@ def test_agent_from_repository_agent_not_found(mock_get_agent, mock_get_auth_tok
 @patch("crewai.cli.plus_api.PlusAPI.get_agent")
 @patch("crewai.utilities.agent_utils.Settings")
 @patch("crewai.utilities.agent_utils.console")
-def test_agent_from_repository_displays_org_info(mock_console, mock_settings, mock_get_agent, mock_get_auth_token):
+def test_agent_from_repository_displays_org_info(
+    mock_console, mock_settings, mock_get_agent, mock_get_auth_token
+):
     mock_settings_instance = MagicMock()
     mock_settings_instance.org_uuid = "test-org-uuid"
     mock_settings_instance.org_name = "Test Organization"
@@ -2143,7 +2211,7 @@ def test_agent_from_repository_displays_org_info(mock_console, mock_settings, mo
         "role": "test role",
         "goal": "test goal",
         "backstory": "test backstory",
-        "tools": []
+        "tools": [],
     }
     mock_get_agent.return_value = mock_get_response
 
@@ -2151,7 +2219,7 @@ def test_agent_from_repository_displays_org_info(mock_console, mock_settings, mo
 
     mock_console.print.assert_any_call(
         "Fetching agent from organization: Test Organization (test-org-uuid)",
-        style="bold blue"
+        style="bold blue",
     )
 
     assert agent.role == "test role"
@@ -2162,7 +2230,9 @@ def test_agent_from_repository_displays_org_info(mock_console, mock_settings, mo
 @patch("crewai.cli.plus_api.PlusAPI.get_agent")
 @patch("crewai.utilities.agent_utils.Settings")
 @patch("crewai.utilities.agent_utils.console")
-def test_agent_from_repository_without_org_set(mock_console, mock_settings, mock_get_agent, mock_get_auth_token):
+def test_agent_from_repository_without_org_set(
+    mock_console, mock_settings, mock_get_agent, mock_get_auth_token
+):
     mock_settings_instance = MagicMock()
     mock_settings_instance.org_uuid = None
     mock_settings_instance.org_name = None
@@ -2175,11 +2245,11 @@ def test_agent_from_repository_without_org_set(mock_console, mock_settings, mock
 
     with pytest.raises(
         AgentRepositoryError,
-        match="Agent test_agent could not be loaded: Unauthorized access"
+        match="Agent test_agent could not be loaded: Unauthorized access",
     ):
         Agent(from_repository="test_agent")
 
     mock_console.print.assert_any_call(
         "No organization currently set. We recommend setting one before using: `crewai org switch <org_id>` command.",
-        style="yellow"
+        style="yellow",
     )

tests/cassettes/test_agent_output_when_guardrail_returns_base_model.yaml

@@ -0,0 +1,137 @@
+interactions:
+- request:
+    body: '{"messages": [{"role": "system", "content": "You are Sports Analyst. You
+      are an expert at gathering and organizing information. You carefully collect
+      details and present them in a structured way.\nYour personal goal is: Gather
+      information about the best soccer players\n\nTo give my best complete final
+      answer to the task respond using the exact following format:\n\nThought: I now
+      can give a great answer\nFinal Answer: Your final answer must be the great and
+      the most complete as possible, it must be outcome described.\n\nI MUST use these
+      formats, my job depends on it!"}, {"role": "user", "content": "Top 10 best players
+      in the world?"}], "model": "gpt-4o-mini", "stop": ["\nObservation:"]}'
+    headers:
+      accept:
+      - application/json
+      accept-encoding:
+      - gzip, deflate, zstd
+      connection:
+      - keep-alive
+      content-length:
+      - '694'
+      content-type:
+      - application/json
+      host:
+      - api.openai.com
+      user-agent:
+      - OpenAI/Python 1.78.0
+      x-stainless-arch:
+      - arm64
+      x-stainless-async:
+      - 'false'
+      x-stainless-lang:
+      - python
+      x-stainless-os:
+      - MacOS
+      x-stainless-package-version:
+      - 1.78.0
+      x-stainless-raw-response:
+      - 'true'
+      x-stainless-read-timeout:
+      - '600.0'
+      x-stainless-retry-count:
+      - '0'
+      x-stainless-runtime:
+      - CPython
+      x-stainless-runtime-version:
+      - 3.12.9
+    method: POST
+    uri: https://api.openai.com/v1/chat/completions
+  response:
+    body:
+      string: !!binary |
+        H4sIAAAAAAAAAwAAAP//nFfNchtHDr7rKVBz0a6KVJGUZMm6SVrJcSw6Ktmb7NY6pQJ7wBlEPd1T
+        6B5S3JTP+yw55AVy9T7YFnr4Jy7pRLmwioP+wfcB+Br4eQ8g4zw7h8yUGE1V2+5l0dh/xOvXo5MT
+        ufDvJk//lNvJm+9HvR9+errPOrrDj34iExe7Do2vakuRvWvNRggj6an90+PXJ69OX50dJUPlc7K6
+        rahj99h3K3bcHfQGx93eabd/Nt9dejYUsnP41x4AwM/pV/10OT1l59DrLL5UFAIWlJ0vFwFk4q1+
+        yTAEDhFdzDoro/Eukkuufyx9U5TxHN6C81Mw6KDgCQFCof4DujAlAfjkbtihhYv0/xw+lgRjb62f
+        siuAAyCEKI2JjVAOfkIyYZqCH0MsCUwjQi5C9DX0exC8MSRQW5yRBGCXFk292BxGGPSA9IkFapKx
+        lwqdodABNCXThCpyUf+59ia0Friq0cT5PiiwIsCg139noh+RwKA3ODr/5D65/iEcHNyyd2RhSCHw
+        wQH85a2LJDBkrPivnxwAdOHg4M4H1ngeHJzDjZcpSr60XfnGRZmp6UIKcpEdLo0Xa27qilO4RGu9
+        g3z/OwHUg0IHqsZGri3B369vLuCqxKpm7wLcEhYNQeRoFbMlzJXj5TUQvaLpw5WvES6qL78IG0xs
+        DHqDAdy8vbmAHxKZV00NEzbRy+xQsQ8U+7uZZXQwHGFdf/lF0d+hcIAPyC5235BUyO7FLNyIxmgn
+        BRtOTdk5Eo38oNc/64BrKhLfBLhlxd5fon90fupg7AVKDhBqorwDufBoZNkVbQ4UHm03GC9KUy1+
+        SiEkuEcK91p0JXyDaNHlCneIzpQUNOJXHGcvhvpeTbPdUDFECnGe3hotITTlCqP6m7J+a+A7aaO6
+        jGCkMYwWtJp1w4bn+wGi0MhSV/nULYEweNfyOhioqhwlJo5T4GnCDv5GcCnNzNEfpmLI+ZjJ5iTb
+        2LgkW3BT7aTjHc0SogofSVIkNy5dq4Q7oYpJNktAg/w8EejJUK3+oYUJB/YuLapV7pS5EVuObc6f
+        KPQr4RAZnYd73ZN7BX9hu+8xBHlxAtx5iU2Bdifmk60Fj9Z2I1e0LGlNBNDEbUtBlWtHSszrxY9X
+        XNl1jnT7tSs0wzvwoUZ2LWtvI9qWhldKw3uaVSjwrRzO8X/DFu2L8V8K/pt3o3/3LFRjiyzJmfDI
+        1nagJCgxwNS7jWpvQ6hVkwPChONa5rdX7gdwOA97JKwgNMZQCB1gZ2yTSF2UgrI5V0hSgUwsnCoL
+        9/ogRLilKbrcT8NjegIuUQxZ7/BPpIPyvpOOe1I+KE+MPNOqeZp2Ehfqb1LJSxWPIbn9AHethKQE
+        mhd1byH0/Q7oOy48aqIeVhJO2M5Uby51l4Nh49iU+2HBEgUY0dgLQeUniSJdOked6DlLb2PziDD0
+        ufB//6PE3BNaGGIunP8ZfbgSj5F3P476ADwrlzbXNaTaUeg6tAp+zY/9sOW9FG6qumyzaFFh88sV
+        qfI71h4mLLqSdPPyTUoEvFYChr7EinL4gBZLZeCWJyS19y+vlOtiVsfflca5Li6v0Rqx9TyJKyUk
+        +buhjorz662DrljqxRtvc3Jw6X2cKxJsPTfx0O8pEd+z+/Kr4SbAt19+c+xlazp8lY+vSMf2YuEk
+        4CGibEg+FqlY1pVkqRU1T/y6WvxOqsxbogV+LaZuap3a5zMx8LGkQMsWtcQJablpM00u2hnkZDVc
+        lAM9RUEvOTuU2bOGddGOpupIjpfe5hC4cDxmgy4Cu7FtyBmCKcfyWSfsx/NGeaPQ21xmSQoY9teq
+        OzVDKI6SurDLecJ5gxbQGG8xp3C4PgYIjZuAOoq4xto1AzrnY9LZNID8OLd8Xo4c1he1+FHY2JqN
+        2XEoHyTRqONFiL7OkvXzHsCPabRpnk0rWS2+quND9I+UrusPBu152WqiWllPjxbWqBFfGc5Ojjtb
+        DnzIKSLbsDYdZQZNSflq62qUwiZnv2bYW4P9/+5sO7uFzq74I8evDEbbGcofaqGczXPIq2VCOnHu
+        WrakOTmcBR3BDD1EJtFQ5DTGxrZzYBZmIVL1MGZXkNTC7TA4rh9eDXBwhGd9Gmd7n/f+BwAA//8D
+        AMMI9CsaDwAA
+    headers:
+      CF-RAY:
+      - 94d9be627c40f260-GRU
+      Connection:
+      - keep-alive
+      Content-Encoding:
+      - gzip
+      Content-Type:
+      - application/json
+      Date:
+      - Tue, 10 Jun 2025 15:02:05 GMT
+      Server:
+      - cloudflare
+      Set-Cookie:
+      - __cf_bm=qYkxv9nLxeWAtPBvECxNw8fLnoBHLorJdRI8.xVEVEA-1749567725-1.0.1.1-75sp4gwHGJocK1MFkSgRcB4xJUiCwz31VRD4LAmQGEmfYB0BMQZ5sgWS8e_UMbjCaEhaPNO88q5XdbLOCWA85_rO0vYTb4hp6tmIiaerhsM;
+        path=/; expires=Tue, 10-Jun-25 15:32:05 GMT; domain=.api.openai.com; HttpOnly;
+        Secure; SameSite=None
+      - _cfuvid=HRKCwkyTqSXpCj9_i_T5lDtlr_INA290o0b3k.26oi8-1749567725794-0.0.1.1-604800000;
+        path=/; domain=.api.openai.com; HttpOnly; Secure; SameSite=None
+      Transfer-Encoding:
+      - chunked
+      X-Content-Type-Options:
+      - nosniff
+      access-control-expose-headers:
+      - X-Request-ID
+      alt-svc:
+      - h3=":443"; ma=86400
+      cf-cache-status:
+      - DYNAMIC
+      openai-organization:
+      - crewai-iuxna1
+      openai-processing-ms:
+      - '42674'
+      openai-version:
+      - '2020-10-01'
+      strict-transport-security:
+      - max-age=31536000; includeSubDomains; preload
+      x-envoy-upstream-service-time:
+      - '42684'
+      x-ratelimit-limit-requests:
+      - '30000'
+      x-ratelimit-limit-tokens:
+      - '150000000'
+      x-ratelimit-remaining-requests:
+      - '29999'
+      x-ratelimit-remaining-tokens:
+      - '149999859'
+      x-ratelimit-reset-requests:
+      - 2ms
+      x-ratelimit-reset-tokens:
+      - 0s
+      x-request-id:
+      - req_d92e6f33fa5e0fbe43349afee8f55921
+    status:
+      code: 200
+      message: OK
+version: 1

tests/cassettes/test_crew_verbose_output.yaml

@@ -970,4 +970,114 @@ interactions:
       - req_50eac495e752ff0e3bb7a09b2f444bf2
     http_version: HTTP/1.1
     status_code: 200
+- request:
+    body: null
+    headers: {}
+    method: GET
+    uri: https://pypi.org/pypi/agentops/json
+  response:
+    body:
+      string: '{"info":{"author":null,"author_email":"Alex Reibman <areibman@gmail.com>,
+        Shawn Qiu <siyangqiu@gmail.com>, Braelyn Boynton <bboynton97@gmail.com>, Howard
+        Gil <howardbgil@gmail.com>, Constantin Teodorescu <teocns@gmail.com>, Pratyush
+        Shukla <ps4534@nyu.edu>, Travis Dent <tcdent@gmail.com>, Dwij Patel <dwijpatel1704@gmail.com>","bugtrack_url":null,"classifiers":["License
+        :: OSI Approved :: MIT License","Operating System :: OS Independent","Programming
+        Language :: Python :: 3","Programming Language :: Python :: 3.10","Programming
+        Language :: Python :: 3.11","Programming Language :: Python :: 3.12","Programming
+        Language :: Python :: 3.13","Programming Language :: Python :: 3.9"],"description":"","description_content_type":null,"docs_url":null,"download_url":null,"downloads":{"last_day":-1,"last_month":-1,"last_week":-1},"dynamic":null,"home_page":null,"keywords":null,"license":null,"license_expression":null,"license_files":["LICENSE"],"maintainer":null,"maintainer_email":null,"name":"agentops","package_url":"https://pypi.org/project/agentops/","platform":null,"project_url":"https://pypi.org/project/agentops/","project_urls":{"Homepage":"https://github.com/AgentOps-AI/agentops","Issues":"https://github.com/AgentOps-AI/agentops/issues"},"provides_extra":null,"release_url":"https://pypi.org/project/agentops/0.4.14/","requires_dist":["httpx<0.29.0,>=0.24.0","opentelemetry-api==1.29.0;
+        python_version < \"3.10\"","opentelemetry-api>1.29.0; python_version >= \"3.10\"","opentelemetry-exporter-otlp-proto-http==1.29.0;
+        python_version < \"3.10\"","opentelemetry-exporter-otlp-proto-http>1.29.0;
+        python_version >= \"3.10\"","opentelemetry-instrumentation==0.50b0; python_version
+        < \"3.10\"","opentelemetry-instrumentation>=0.50b0; python_version >= \"3.10\"","opentelemetry-sdk==1.29.0;
+        python_version < \"3.10\"","opentelemetry-sdk>1.29.0; python_version >= \"3.10\"","opentelemetry-semantic-conventions==0.50b0;
+        python_version < \"3.10\"","opentelemetry-semantic-conventions>=0.50b0; python_version
+        >= \"3.10\"","ordered-set<5.0.0,>=4.0.0","packaging<25.0,>=21.0","psutil<6.1.0,>=5.9.8","pyyaml<7.0,>=5.3","requests<3.0.0,>=2.0.0","termcolor<2.5.0,>=2.3.0","wrapt<2.0.0,>=1.0.0"],"requires_python":">=3.9","summary":"Observability
+        and DevTool Platform for AI Agents","version":"0.4.14","yanked":false,"yanked_reason":null},"last_serial":29355868,"releases":{"0.0.1":[{"comment_text":"","digests":{"blake2b_256":"9b4641d084346e88671acc02e3a0049d3e0925fe99edd88c8b82700dc3c04d01","md5":"2b491f3b3dd01edd4ee37c361087bb46","sha256":"f2cb9d59a0413e7977a44a23dbd6a9d89cda5309b63ed08f5c346c7488acf645"},"downloads":-1,"filename":"agentops-0.0.1-py3-none-any.whl","has_sig":false,"md5_digest":"2b491f3b3dd01edd4ee37c361087bb46","packagetype":"bdist_wheel","python_version":"py3","requires_python":">=3.7","size":10328,"upload_time":"2023-08-21T18:33:47","upload_time_iso_8601":"2023-08-21T18:33:47.827866Z","url":"https://files.pythonhosted.org/packages/9b/46/41d084346e88671acc02e3a0049d3e0925fe99edd88c8b82700dc3c04d01/agentops-0.0.1-py3-none-any.whl","yanked":false,"yanked_reason":null},{"comment_text":"","digests":{"blake2b_256":"b280bf609d98778499bd42df723100a8e910d9b9827cbd00b804cf0b13bb3c87","md5":"ff218fc16d45cf72f73d50ee9a0afe82","sha256":"5c3d4311b9dde0c71cb475ec99d2963a71604c78d468b333f55e81364f4fe79e"},"downloads":-1,"filename":"agentops-0.0.1.tar.gz","has_sig":false,"md5_digest":"ff218fc16d45cf72f73d50ee9a0afe82","packagetype":"sdist","python_version":"source","requires_python":">=3.7","size":11452,"upload_time":"2023-08-21T18:33:49","upload_time_iso_8601":"2023-08-21T18:33:49.613830Z","url":"https://files.pythonhosted.org/packages/b2/80/bf609d98778499bd42df723100a8e910d9b9827cbd00b804cf0b13bb3c87/agentops-0.0.1.tar.gz","yanked":false,"yanked_reason":null}],"0.0.10":[{"comment_text":"","digests":{"blake2b_256":"92933862af53105332cb524db237138d3284b5d6abcc7df5fd4406e382372d94","md5":"8bdea319b5579775eb88efac72e70cd6","sha256":"e8a333567458c1df35538d626bc596f3ba7b8fa2aac5015bc378f3f7f8850669"},"downloads":-1,"filename":"agentops-0.0.10-py3-none-any.whl","has_sig":false,"md5_digest":"8bdea319b5579775eb88efac72e70cd6","packagetype":"bdist_wheel","python_version":"py3","requires_python":">=3.7","size":14752,"upload_time":"2023-12-16T01:40:40","upload_time_iso_8601":"2023-12-16T01:40:40.867657Z","url":"https://files.pythonhosted.org/packages/92/93/3862af53105332cb524db237138d3284b5d6abcc7df5fd4406e382372d94/agentops-0.0.10-py3-none-any.whl","yanked":false,"yanked_reason":null},{"comment_text":"","digests":{"blake2b_256":"c63136b1f2e508b67f92ddb5f51f2acf5abdf2bf4b32d5b355d8018b368dc854","md5":"87bdcd4d7469d22ce922234d4f0b2b98","sha256":"5fbc567bece7b218fc35ce70d208e88e89bb399a9dbf84ab7ad59a2aa559648c"},"downloads":-1,"filename":"agentops-0.0.10.tar.gz","has_sig":false,"md5_digest":"87bdcd4d7469d22ce922234d4f0b2b98","packagetype":"sdist","python_version":"source","requires_python":">=3.7","size":15099,"upload_time":"2023-12-16T01:40:42","upload_time_iso_8601":"2023-12-16T01:40:42.281826Z","url":"https://files.pythonhosted.org/packages/c6/31/36b1f2e508b67f92ddb5f51f2acf5abdf2bf4b32d5b355d8018b368dc854/agentops-0.0.10.tar.gz","yanked":false,"yanked_reason":null}],"0.0.11":[{"comment_text":"","digests":{"blake2b_256":"7125ed114f918332cda824092f620b1002fd76ab6b538dd83711b31c93907139","md5":"83ba7e621f01412144aa38306fc1e04c","sha256":"cb80823e065d17dc26bdc8fe951ea7e04b23677ef2b4da939669c6fe1b2502bf"},"downloads":-1,"filename":"agentops-0.0.11-py3-none-any.whl","has_sig":false,"md5_digest":"83ba7e621f01412144aa38306fc1e04c","packagetype":"bdist_wheel","python_version":"py3","requires_python":">=3.7","size":16627,"upload_time":"2023-12-21T19:50:28","upload_time_iso_8601":"2023-12-21T19:50:28.595886Z","url":"https://files.pythonhosted.org/packages/71/25/ed114f918332cda824092f620b1002fd76ab6b538dd83711b31c93907139/agentops-0.0.11-py3-none-any.whl","yanked":false,"yanked_reason":null},{"comment_text":"","digests":{"blake2b_256":"9e037750b04398cda2548bbf3d84ce554c4009592095c060c4904e773f3a43da","md5":"5bbb120cc9a5f5ff6fb5dd45691ba279","sha256":"cbf0f39768d47e32be448a3ff3ded665fce64ff8a90c0e10692fd7a3ab4790ee"},"downloads":-1,"filename":"agentops-0.0.11.tar.gz","has_sig":false,"md5_digest":"5bbb120cc9a5f5ff6fb5dd45691ba279","packagetype":"sdist","python_version":"source","requires_python":">=3.7","size":16794,"upload_time":"2023-12-21T19:50:29","upload_time_iso_8601":"2023-12-21T19:50:29.881561Z","url":"https://files.pythonhosted.org/packages/9e/03/7750b04398cda2548bbf3d84ce554c4009592095c060c4904e773f3a43da/agentops-0.0.11.tar.gz","yanked":false,"yanked_reason":null}],"0.0.12":[{"comment_text":"","digests":{"blake2b_256":"adf5cc3e93b2328532ea80b8b36450b8b48a8199ebbe1f75ebb490e57a926b88","md5":"694ba49ca8841532039bdf8dc0250b85","sha256":"9a2c773efbe3353f60d1b86da12333951dad288ba54839615a53b57e5965bea8"},"downloads":-1,"filename":"agentops-0.0.12-py3-none-any.whl","has_sig":false,"md5_digest":"694ba49ca8841532039bdf8dc0250b85","packagetype":"bdist_wheel","python_version":"py3","requires_python":">=3.7","size":18602,"upload_time":"2024-01-03T03:47:07","upload_time_iso_8601":"2024-01-03T03:47:07.184203Z","url":"https://files.pythonhosted.org/packages/ad/f5/cLine truncated
+        breaking bug"},{"comment_text":"","digests":{"blake2b_256":"b2447ce75e71fcc9605a609b41adc52d517eba4356d15f7ca77d46f683ca07f1","md5":"9a9bb22af4b30c454d46b9a01e8701a0","sha256":"70d22e9a71ea13af6e6ad9c1cffe63c98f9dbccf91bda199825609379b2babaf"},"downloads":-1,"filename":"agentops-0.1.7.tar.gz","has_sig":false,"md5_digest":"9a9bb22af4b30c454d46b9a01e8701a0","packagetype":"sdist","python_version":"source","requires_python":">=3.10","size":28122,"upload_time":"2024-05-03T19:21:39","upload_time_iso_8601":"2024-05-03T19:21:39.415523Z","url":"https://files.pythonhosted.org/packages/b2/44/7ce75e71fcc9605a609b41adc52d517eba4356d15f7ca77d46f683ca07f1/agentops-0.1.7.tar.gz","yanked":true,"yanked_reason":"Introduced
+        breaking bug"}],"0.1.8":[{"comment_text":"","digests":{"blake2b_256":"38c63d0d19eeae4c3c9e3ff5957b10c3c16a4a9fd2be6673fbfc965f8bb4fd08","md5":"e12d3d92f51f5b2fed11a01742e5b5b5","sha256":"d49d113028a891d50900bb4fae253218cc49519f7fe39f9ea15f8f2b29d6d7ef"},"downloads":-1,"filename":"agentops-0.1.8-py3-none-any.whl","has_sig":false,"md5_digest":"e12d3d92f51f5b2fed11a01742e5b5b5","packagetype":"bdist_wheel","python_version":"py3","requires_python":">=3.10","size":27977,"upload_time":"2024-05-04T03:01:53","upload_time_iso_8601":"2024-05-04T03:01:53.905081Z","url":"https://files.pythonhosted.org/packages/38/c6/3d0d19eeae4c3c9e3ff5957b10c3c16a4a9fd2be6673fbfc965f8bb4fd08/agentops-0.1.8-py3-none-any.whl","yanked":false,"yanked_reason":null},{"comment_text":"","digests":{"blake2b_256":"9269e51fa1714f169f692e4fad0a42ebeb77c7a27c48f62b751c869ad6441c69","md5":"07dbdb45f9ec086b1bc314d6a8264423","sha256":"5762137a84e2309e1b6ca9a0fd72c8b72c90f6f73ba49549980722221960cac8"},"downloads":-1,"filename":"agentops-0.1.8.tar.gz","has_sig":false,"md5_digest":"07dbdb45f9ec086b1bc314d6a8264423","packagetype":"sdist","python_version":"source","requires_python":">=3.10","size":28189,"upload_time":"2024-05-04T03:01:55","upload_time_iso_8601":"2024-05-04T03:01:55.328668Z","url":"https://files.pythonhosted.org/packages/92/69/e51fa1714f169f692e4fad0a42ebeb77c7a27c48f62b751c869ad6441c69/agentops-0.1.8.tar.gz","yanked":false,"yanked_reason":null}],"0.1.9":[{"comment_text":"","digests":{"blake2b_256":"eb5a920e71729bd1f06b002ee146b38b0d1862357a1f484628e6b20a7d3dcca1","md5":"6ae4929d91c4bb8025edc86b5322630c","sha256":"af7983ba4929b04a34714dd97d7e82c11384ebbe9d7d8bc7b673e1263c4c79a1"},"downloads":-1,"filename":"agentops-0.1.9-py3-none-any.whl","has_sig":false,"md5_digest":"6ae4929d91c4bb8025edc86b5322630c","packagetype":"bdist_wheel","python_version":"py3","requires_python":">=3.7","size":28458,"upload_time":"2024-05-07T07:07:30","upload_time_iso_8601":"2024-05-07T07:07:30.798380Z","url":"https://files.pythonhosted.org/packages/eb/5a/920e71729bd1f06b002ee146b38b0d1862357a1f484628e6b20a7d3dcca1/agentops-0.1.9-py3-none-any.whl","yanked":false,"yanked_reason":null},{"comment_text":"","digests":{"blake2b_256":"df2b8fc76d629d8a83b0796612a27b966426550114c930eee5d730654fcd9fe9","md5":"43090632f87cd398ed77b57daa8c28d6","sha256":"7f428bfda2db57a994029b1c9f72b63ca7660616635c9c671b2b729d112a833e"},"downloads":-1,"filename":"agentops-0.1.9.tar.gz","has_sig":false,"md5_digest":"43090632f87cd398ed77b57daa8c28d6","packagetype":"sdist","python_version":"source","requires_python":">=3.7","size":28596,"upload_time":"2024-05-07T07:07:35","upload_time_iso_8601":"2024-05-07T07:07:35.242350Z","url":"https://files.pythonhosted.org/packages/df/2b/8fc76d629d8a83b0796612a27b966426550114c930eee5d730654fcd9fe9/agentops-0.1.9.tar.gz","yanked":false,"yanked_reason":null}],"0.2.0":[{"comment_text":"","digests":{"blake2b_256":"483560ec38a81a7e9588d32730ed4f581621169216f968771d5f611388f68a9b","md5":"bdda5480977cccd55628e117e8c8da04","sha256":"bee84bf046c9b4346c5f0f50e2087a992e8d2eae80b3fe9f01c456b49c299bcc"},"downloads":-1,"filename":"agentops-0.2.0-py3-none-any.whl","has_sig":false,"md5_digest":"bdda5480977cccd55628e117e8c8da04","packagetype":"bdist_wheel","python_version":"py3","requires_python":">=3.7","size":35921,"upload_time":"2024-05-28T22:04:14","upload_time_iso_8601":"2024-05-28T22:04:14.813154Z","url":"https://files.pythonhosted.org/packages/48/35/60ec38a81a7e9588d32730ed4f581621169216f968771d5f611388f68a9b/agentops-0.2.0-py3-none-any.whl","yanked":false,"yanked_reason":null},{"comment_text":"","digests":{"blake2b_256":"8d7591c79141d31da4e56d6c6a00737b50dcc2f1ce8a711c1293d2a1d70478fc","md5":"71e3c3b9fe0286c9b58d81ba1c12a42d","sha256":"ca340136abff6a3727729c3eda87f0768e5ba2b672ce03320cb52ad138b05598"},"downloads":-1,"filename":"agentops-0.2.0.tar.gz","has_sig":false,"md5_digest":"71e3c3b9fe0286c9b58d81ba1c12a42d","packagetype":"sdist","python_version":"source","requires_python":">=3.7","size":35498,"upload_time":"2024-05-28T22:04:16","upload_time_iso_8601":"2024-05-28T22:04:16.598374Z","url":"https://files.pythonhosted.org/packages/8d/75/91c79141d31da4e56d6c6a00737b50dcc2f1ce8a711c1293d2a1d70478fc/agentops-0.2.0.tar.gz","yanked":false,"yanked_reason":null}],"0.2.1":[{"comment_text":"","digests":{"blake2b_256":"fa3b84032b7dca3d7315b329db6681bbfe0872c2a46d62ca992a05f2d6a078e1","md5":"ce3fc46711fa8225a3d6a9566f95f875","sha256":"7dde95db92c8306c0a17e193bfb5ee20e71e16630ccc629db685e148b3aca3f6"},"downloads":-1,"filename":"agentops-0.2.1-py3-none-any.whl","has_sig":false,"md5_digest":"ce3fc46711fa8225a3d6a9566f95f875","packagetype":"bdist_wheel","python_version":"py3","requires_python":">=3.7","size":36375,"upload_time":"2024-06-03T18:40:02","upload_time_iso_8601":"2024-06-03T18:40:02.820700Z","url":"https://files.pythonhosted.org/packages/fa/3b/84032b7dca3d7315b329db6681bbfe0872c2a46d62ca992a05f2d6a078e1/agentops-0.2.1-py3-none-any.whl","yanked":false,"yanked_reasoLine truncated
+        breaking change"},{"comment_text":"","digests":{"blake2b_256":"8e4b920629e08c956cdc74a31ab466d005eb13d86c2d58fa2d2bd261cf36c37b","md5":"527c82f21f01f13b879a1fca90ddb209","sha256":"d263de21eb40e15eb17adc31821fc0dee4ff4ca4501a9feb7ed376d473063208"},"downloads":-1,"filename":"agentops-0.2.4.tar.gz","has_sig":false,"md5_digest":"527c82f21f01f13b879a1fca90ddb209","packagetype":"sdist","python_version":"source","requires_python":">=3.7","size":37656,"upload_time":"2024-06-24T19:32:01","upload_time_iso_8601":"2024-06-24T19:32:01.155014Z","url":"https://files.pythonhosted.org/packages/8e/4b/920629e08c956cdc74a31ab466d005eb13d86c2d58fa2d2bd261cf36c37b/agentops-0.2.4.tar.gz","yanked":true,"yanked_reason":"Potential
+        breaking change"}],"0.2.5":[{"comment_text":"","digests":{"blake2b_256":"47c73ab9d7d971b664a9bdff6e6464afb6c1de8eb0f845d8de93eb036d5dcc60","md5":"bed576cc1591da4783777920fb223761","sha256":"ff87b82d1efaf50b10624e00c6e9334f4c16ffe08ec7f9889b4417c231c31471"},"downloads":-1,"filename":"agentops-0.2.5-py3-none-any.whl","has_sig":false,"md5_digest":"bed576cc1591da4783777920fb223761","packagetype":"bdist_wheel","python_version":"py3","requires_python":">=3.7","size":37529,"upload_time":"2024-06-26T22:57:15","upload_time_iso_8601":"2024-06-26T22:57:15.646328Z","url":"https://files.pythonhosted.org/packages/47/c7/3ab9d7d971b664a9bdff6e6464afb6c1de8eb0f845d8de93eb036d5dcc60/agentops-0.2.5-py3-none-any.whl","yanked":false,"yanked_reason":null},{"comment_text":"","digests":{"blake2b_256":"31c48f2af30ae75dbdb4697506f80f76ce786f79014deb8c6679fa62962fdd6f","md5":"42def99798edfaf201fa6f62846e77c5","sha256":"6bad7aca37af6174307769550a53ec00824049a57e97b8868a9a213b2272adb4"},"downloads":-1,"filename":"agentops-0.2.5.tar.gz","has_sig":false,"md5_digest":"42def99798edfaf201fa6f62846e77c5","packagetype":"sdist","python_version":"source","requires_python":">=3.7","size":37703,"upload_time":"2024-06-26T22:57:17","upload_time_iso_8601":"2024-06-26T22:57:17.337904Z","url":"https://files.pythonhosted.org/packages/31/c4/8f2af30ae75dbdb4697506f80f76ce786f79014deb8c6679fa62962fdd6f/agentops-0.2.5.tar.gz","yanked":false,"yanked_reason":null}],"0.2.6":[{"comment_text":"","digests":{"blake2b_256":"5af2f90538b00d887c04a5570e8a3af4aef27a600a67c058a0ee6befafd60748","md5":"8ef3ed13ed582346b71648ca9df30f7c","sha256":"59e88000a9f108931fd68056f22def7a7f4b3015906de5791e777c23ba7dee52"},"downloads":-1,"filename":"agentops-0.2.6-py3-none-any.whl","has_sig":false,"md5_digest":"8ef3ed13ed582346b71648ca9df30f7c","packagetype":"bdist_wheel","python_version":"py3","requires_python":">=3.7","size":37534,"upload_time":"2024-06-28T21:41:56","upload_time_iso_8601":"2024-06-28T21:41:56.933334Z","url":"https://files.pythonhosted.org/packages/5a/f2/f90538b00d887c04a5570e8a3af4aef27a600a67c058a0ee6befafd60748/agentops-0.2.6-py3-none-any.whl","yanked":false,"yanked_reason":null},{"comment_text":"","digests":{"blake2b_256":"bcf412c388dccc301ad54a501843ba5b5dd359575dcef9ac24c18a619a32214d","md5":"89a6b04f12801682b53ee0133593ce74","sha256":"7906a08c9154355484deb173b82631f9acddec3775b2d5e8ca946abdee27183b"},"downloads":-1,"filename":"agentops-0.2.6.tar.gz","has_sig":false,"md5_digest":"89a6b04f12801682b53ee0133593ce74","packagetype":"sdist","python_version":"source","requires_python":">=3.7","size":37874,"upload_time":"2024-06-28T21:41:59","upload_time_iso_8601":"2024-06-28T21:41:59.143953Z","url":"https://files.pythonhosted.org/packages/bc/f4/12c388dccc301ad54a501843ba5b5dd359575dcef9ac24c18a619a32214d/agentops-0.2.6.tar.gz","yanked":false,"yanked_reason":null}],"0.3.0":[{"comment_text":"","digests":{"blake2b_256":"b8e996f12ac457f46c370c6f70f344e975d534f2c92853703ee29802f0127024","md5":"d9c6995a843b49ac7eb6f500fa1f3c2a","sha256":"22aeb3355e66b32a2b2a9f676048b81979b2488feddb088f9266034b3ed50539"},"downloads":-1,"filename":"agentops-0.3.0-py3-none-any.whl","has_sig":false,"md5_digest":"d9c6995a843b49ac7eb6f500fa1f3c2a","packagetype":"bdist_wheel","python_version":"py3","requires_python":">=3.7","size":39430,"upload_time":"2024-07-17T18:38:24","upload_time_iso_8601":"2024-07-17T18:38:24.763919Z","url":"https://files.pythonhosted.org/packages/b8/e9/96f12ac457f46c370c6f70f344e975d534f2c92853703ee29802f0127024/agentops-0.3.0-py3-none-any.whl","yanked":false,"yanked_reason":null},{"comment_text":"","digests":{"blake2b_256":"7e2d6fda9613562c0394d7ef3dd8f0cb9fc4ebaa8d413862fce33940c73564d6","md5":"8fa67ca01ca726e3bfcd66898313f33f","sha256":"6c0c08a57410fa5e826a7bafa1deeba9f7b3524709427d9e1abbd0964caaf76b"},"downloads":-1,"filename":"agentops-0.3.0.tar.gz","has_sig":false,"md5_digest":"8fa67ca01ca726e3bfcd66898313f33f","packagetype":"sdist","python_version":"source","requires_python":">=3.7","size":41734,"upload_time":"2024-07-17T18:38:26","upload_time_iso_8601":"2024-07-17T18:38:26.447237Z","url":"https://files.pythonhosted.org/packages/7e/2d/6fda9613562c0394d7ef3dd8f0cb9fc4ebaa8d413862fce33940c73564d6/agentops-0.3.0.tar.gz","yanked":false,"yanked_reason":null}],"0.3.10":[{"comment_text":"","digests":{"blake2b_256":"eb5e3ac36b33d3e95747d64effd509f66a9b3b76b47216b16f492e27d8d90b0c","md5":"6fade0b81fc65b2c79a869b5f240590b","sha256":"b304d366691281e08c1f02307aabdd551ae4f68b0de82bbbb4cf6f651af2dd16"},"downloads":-1,"filename":"agentops-0.3.10-py3-none-any.whl","has_sig":false,"md5_digest":"6fade0b81fc65b2c79a869b5f240590b","packagetype":"bdist_wheel","python_version":"py3","requires_python":">=3.7","size":41201,"upload_time":"2024-08-19T20:51:49","upload_time_iso_8601":"2024-08-19T20:51:49.487947Z","url":"https://files.pythonhosted.org/packages/eb/5e/3ac36b33d3e95747d64effd509f66a9b3b76b47216b16f492e27d8d90b0c/agentops-0.3.10-py3-none-any.whl","yanked":false,"yanked_rLine truncated
+        dependency, please install 0.3.18"},{"comment_text":"","digests":{"blake2b_256":"b319bb0e9895cb6da29f764f8d7b95b10ac8fde400bc17028f9bd486e9574dbe","md5":"f6424c41464d438007e9628748a0bea6","sha256":"ca0d4ba35ae699169ae20f74f72ca6a5780a8768ba2a2c32589fc5292ed81674"},"downloads":-1,"filename":"agentops-0.3.19.tar.gz","has_sig":false,"md5_digest":"f6424c41464d438007e9628748a0bea6","packagetype":"sdist","python_version":"source","requires_python":">=3.7","size":48360,"upload_time":"2024-12-04T00:54:01","upload_time_iso_8601":"2024-12-04T00:54:01.418776Z","url":"https://files.pythonhosted.org/packages/b3/19/bb0e9895cb6da29f764f8d7b95b10ac8fde400bc17028f9bd486e9574dbe/agentops-0.3.19.tar.gz","yanked":true,"yanked_reason":"Broken
+        dependency, please install 0.3.18"}],"0.3.2":[{"comment_text":"","digests":{"blake2b_256":"9d2c23b745a61d48df788b8020e5ea37e94f9da59b322a17accafe18d8cb4006","md5":"62d576d9518a627fe4232709c0721eff","sha256":"b35988e04378624204572bb3d7a454094f879ea573f05b57d4e75ab0bfbb82af"},"downloads":-1,"filename":"agentops-0.3.2-py3-none-any.whl","has_sig":false,"md5_digest":"62d576d9518a627fe4232709c0721eff","packagetype":"bdist_wheel","python_version":"py3","requires_python":">=3.7","size":39527,"upload_time":"2024-07-21T03:09:56","upload_time_iso_8601":"2024-07-21T03:09:56.844372Z","url":"https://files.pythonhosted.org/packages/9d/2c/23b745a61d48df788b8020e5ea37e94f9da59b322a17accafe18d8cb4006/agentops-0.3.2-py3-none-any.whl","yanked":false,"yanked_reason":null},{"comment_text":"","digests":{"blake2b_256":"d2a1cc21406646c065e83435fe30fa205b99b2204d8074eca31926a5f8ef4381","md5":"30b247bcae25b181485a89213518241c","sha256":"55559ac4a43634831dfa8937c2597c28e332809dc7c6bb3bc3c8b233442e224c"},"downloads":-1,"filename":"agentops-0.3.2.tar.gz","has_sig":false,"md5_digest":"30b247bcae25b181485a89213518241c","packagetype":"sdist","python_version":"source","requires_python":">=3.7","size":41894,"upload_time":"2024-07-21T03:09:58","upload_time_iso_8601":"2024-07-21T03:09:58.409826Z","url":"https://files.pythonhosted.org/packages/d2/a1/cc21406646c065e83435fe30fa205b99b2204d8074eca31926a5f8ef4381/agentops-0.3.2.tar.gz","yanked":false,"yanked_reason":null}],"0.3.20":[{"comment_text":"","digests":{"blake2b_256":"a854ae9147a490dd9bd03ab7bfc5af47f40ff675840a9aa143896b385a8f8d3a","md5":"a13af8737ddff8a0c7c0f05cee70085f","sha256":"b5396e11b0bfef46b85604e8e36ab17668057711edd56f1edb0a067b8676fdcc"},"downloads":-1,"filename":"agentops-0.3.20-py3-none-any.whl","has_sig":false,"md5_digest":"a13af8737ddff8a0c7c0f05cee70085f","packagetype":"bdist_wheel","python_version":"py3","requires_python":">=3.7","size":38674,"upload_time":"2024-12-07T00:06:31","upload_time_iso_8601":"2024-12-07T00:06:31.901162Z","url":"https://files.pythonhosted.org/packages/a8/54/ae9147a490dd9bd03ab7bfc5af47f40ff675840a9aa143896b385a8f8d3a/agentops-0.3.20-py3-none-any.whl","yanked":true,"yanked_reason":"Wrong
+        release"},{"comment_text":"","digests":{"blake2b_256":"c1eb19d04c801854ba75e235eb87c51a6a9c5b1a89e8579cb745c83f8bf84e08","md5":"11754497191d8340eda7a831720d9b74","sha256":"c71406294804a82795310a4afc492064a8884b1ba47e12607230975bc1291ce3"},"downloads":-1,"filename":"agentops-0.3.20.tar.gz","has_sig":false,"md5_digest":"11754497191d8340eda7a831720d9b74","packagetype":"sdist","python_version":"source","requires_python":">=3.7","size":48332,"upload_time":"2024-12-07T00:06:33","upload_time_iso_8601":"2024-12-07T00:06:33.568362Z","url":"https://files.pythonhosted.org/packages/c1/eb/19d04c801854ba75e235eb87c51a6a9c5b1a89e8579cb745c83f8bf84e08/agentops-0.3.20.tar.gz","yanked":true,"yanked_reason":"Wrong
+        release"}],"0.3.20rc1":[{"comment_text":"","digests":{"blake2b_256":"073de7eba58e2a60c0136eee2760b20f99607001d372de26505feee891e0976b","md5":"73c6ac515ee9d555e27a7ba7e26e3a46","sha256":"079ea8138938e27a3e1319a235a6f4cf98c0d6846731d854aa83b8422d570bda"},"downloads":-1,"filename":"agentops-0.3.20rc1-py3-none-any.whl","has_sig":false,"md5_digest":"73c6ac515ee9d555e27a7ba7e26e3a46","packagetype":"bdist_wheel","python_version":"py3","requires_python":">=3.7","size":38718,"upload_time":"2024-12-07T00:10:18","upload_time_iso_8601":"2024-12-07T00:10:18.796963Z","url":"https://files.pythonhosted.org/packages/07/3d/e7eba58e2a60c0136eee2760b20f99607001d372de26505feee891e0976b/agentops-0.3.20rc1-py3-none-any.whl","yanked":false,"yanked_reason":null},{"comment_text":"","digests":{"blake2b_256":"02ff111d618c21aad946caedb666030f1f374a0d558228b9061ea2b46acb6bcd","md5":"17062e985b931dc85b4855922d7842ce","sha256":"ef48447e07a3eded246b2f7e10bba74422a34563ffdc667ac16b2d3383475a3f"},"downloads":-1,"filename":"agentops-0.3.20rc1.tar.gz","has_sig":false,"md5_digest":"17062e985b931dc85b4855922d7842ce","packagetype":"sdist","python_version":"source","requires_python":">=3.7","size":48329,"upload_time":"2024-12-07T00:10:20","upload_time_iso_8601":"2024-12-07T00:10:20.510407Z","url":"https://files.pythonhosted.org/packages/02/ff/111d618c21aad946caedb666030f1f374a0d558228b9061ea2b46acb6bcd/agentops-0.3.20rc1.tar.gz","yanked":false,"yanked_reason":null}],"0.3.20rc10":[{"comment_text":"","digests":{"blake2b_256":"a7274706d8d9c8f4abecc1dda2b9b02cd02ffe895220bd39f58322a46ccc7254","md5":"2c66a93c691c6b8cac2f2dc8fab9efae","sha256":"3c10d77f2fe88b61d97ad007820c1ba968c62f692986ea2b2cbfd8b22ec9e5bc"},"downloads":-1,"filename":"agentops-0.3.20rc10-py3-none-any.whl","has_sig":false,"md5_digest":"2c66a93c691c6b8cac2f2dc8fab9efae","packagetype":"bdist_wheel","python_version":"py3","requires_python":">=3.7","size":57423,"upload_time":"2024-12-10T03:41:04","upload_time_iso_8601":"2024-12-10T03:41:04.579814Z","url":"https://files.pythonhosted.org/packages/a7/27/4706d8d9c8f4abecc1dda2b9b02cd02ffe895220bd39f58322a46ccc7254/agentops-0.3.20rc10-py3-none-any.whl","yanked":false,"yanked_reason":null},{"comment_text":"","digests":{"blake2b_256":"efe9e304f465945f57e4c6d35cd35fff53dc2a2e36b9b32793fa57017467b0c2","md5":"9882d32866b94d925ba36ac376c30bea","sha256":"f0c72c20e7fe41054c22c6257420314863549dd91428a892ac9b47b81cdfcc8c"},"downloads":-1,"filename":"agentops-0.3.20rc10.tar.gz","has_sig":false,"md5_digest":"9882d32866b94d925ba36ac376c30bea","packagetype":"sdist","python_version":"source","requires_python":">=3.7","size":57564,"upload_time":"2024-12-10T03:41:06","upload_time_iso_8601":"2024-12-10T03:41:06.899043Z","url":"https://files.pythonhosted.org/packages/ef/e9/e304f465945f57e4c6d35cd35fff53dc2a2e36b9b32793fa57017467b0c2/agentops-0.3.20rc10.tar.gz","yanked":false,"yanked_reason":null}],"0.3.20rc11":[{"comment_text":"","digests":{"blake2b_256":"8dbf598ec2532b713a228f4041c9b2c10358cd43e6aecf6128d0988a0b5f103e","md5":"d9ab67a850aefcb5bf9467b48f74675d","sha256":"3e5d4c19de6c58ae684693f47a2f03db35eaf4cd6d8aafc1e804a134462c2b55"},"downloads":-1,"filename":"agentops-0.3.20rc11-py3-none-any.whl","has_sig":false,"md5_digest":"d9ab67a850aefcb5bf9467b48f74675d","packagetype":"bdist_wheel","python_version":"py3","requires_python":">=3.7","size":60280,"upload_time":"2024-12-10T22:45:05","upload_time_iso_8601":"2024-12-10T22:45:05.280119Z","url":"https://files.pythonhosted.org/packages/8d/bf/598ec2532b713a228f4041c9b2c10358cd43e6aecf6128d0988a0b5f103e/agentops-0.3.20rc11-py3-none-any.whl","yanked":false,"yanked_reason":null},{"comment_text":"","digests":{"blake2b_256":"210642e51fff6a4537fb811a15bc22d00343145285c6246dc069433d61436e1b","md5":"ca5279f4cb6ad82e06ef542a2d08d06e","sha256":"9211489c6a01bc9cda4061826f8b80d0989cfcd7fbabe1dd2ed5a5cb76b3d6f0"},"downloads":-1,"filename":"agentops-0.3.20rc11.tar.gz","has_sig":false,"md5_digest":"ca5279f4cb6ad82e06ef542a2d08d06e","packagetype":"sdist","python_version":"source","requires_python":">=3.7","size":59718,"upload_time":"2024-12-10T22:45:09","upload_time_iso_8601":"2024-12-10T22:45:09.616947Z","url":"https://files.pythonhosted.org/packages/21/06/42e51fff6a4537fb811a15bc22d00343145285c6246dc069433d61436e1b/agentops-0.3.20rc11.tar.gz","yanked":false,"yanked_reason":null}],"0.3.20rc12":[{"comment_text":"","digests":{"blake2b_256":"dc281db6f49f10ac849683de1d7f5b5ef492be2a996325302167b8388f375d51","md5":"8b2611d2510f0d4fac7ab824d7658ff7","sha256":"9237652d28db89315c49c0705829b291c17280e07d41272f909e2609acec650b"},"downloads":-1,"filename":"agentops-0.3.20rc12-py3-none-any.whl","has_sig":false,"md5_digest":"8b2611d2510f0d4fac7ab824d7658ff7","packagetype":"bdist_wheel","python_version":"py3","requires_python":">=3.7","size":60282,"upload_time":"2024-12-10T23:10:54","upload_time_iso_8601":"2024-12-10T23:10:54.516317Z","url":"https://files.pythonhosted.org/packages/dc/28/1db6f49f10ac849683de1d7f5b5ef492be2a996325302167bLine truncated
+        dependency"},{"comment_text":"","digests":{"blake2b_256":"e067e61aa4c2e329da10b5e95d325091e599d8a00a28843a54bdcefa7a2eef8d","md5":"bcf45b6c4c56884ed2409f835571af62","sha256":"705d772b6994f8bab0cd163b24602009353f7906c72d9db008af11683f6e9341"},"downloads":-1,"filename":"agentops-0.3.22.tar.gz","has_sig":false,"md5_digest":"bcf45b6c4c56884ed2409f835571af62","packagetype":"sdist","python_version":"source","requires_python":"<3.14,>=3.9","size":52845,"upload_time":"2025-01-11T03:21:41","upload_time_iso_8601":"2025-01-11T03:21:41.762282Z","url":"https://files.pythonhosted.org/packages/e0/67/e61aa4c2e329da10b5e95d325091e599d8a00a28843a54bdcefa7a2eef8d/agentops-0.3.22.tar.gz","yanked":true,"yanked_reason":"Broken
+        dependency"}],"0.3.23":[{"comment_text":null,"digests":{"blake2b_256":"e67de1434765cf0a3d62372b74f47919aa17c0b01909823f7d3ee705edf821a9","md5":"1f0f02509b8ba713db72e57a072f01a6","sha256":"ecfff77d8f9006361ef2a2e8593271e97eb54b7b504abfb8abd6504006baca56"},"downloads":-1,"filename":"agentops-0.3.23-py3-none-any.whl","has_sig":false,"md5_digest":"1f0f02509b8ba713db72e57a072f01a6","packagetype":"bdist_wheel","python_version":"py3","requires_python":"<3.14,>=3.9","size":70098,"upload_time":"2025-01-12T02:11:56","upload_time_iso_8601":"2025-01-12T02:11:56.319763Z","url":"https://files.pythonhosted.org/packages/e6/7d/e1434765cf0a3d62372b74f47919aa17c0b01909823f7d3ee705edf821a9/agentops-0.3.23-py3-none-any.whl","yanked":false,"yanked_reason":null},{"comment_text":null,"digests":{"blake2b_256":"5c7fa4fd91f8fd819e1ecfdc608d1c7ade83de0f9dddd868e2c2c139a2fdae25","md5":"b7922399f81fb26517eb69fc7fef97c9","sha256":"4e4de49caeaf567b8746082f84a8cdd65afe2c698720f6f40251bbc4fdffe4c9"},"downloads":-1,"filename":"agentops-0.3.23.tar.gz","has_sig":false,"md5_digest":"b7922399f81fb26517eb69fc7fef97c9","packagetype":"sdist","python_version":"source","requires_python":"<3.14,>=3.9","size":64225,"upload_time":"2025-01-12T02:11:59","upload_time_iso_8601":"2025-01-12T02:11:59.360077Z","url":"https://files.pythonhosted.org/packages/5c/7f/a4fd91f8fd819e1ecfdc608d1c7ade83de0f9dddd868e2c2c139a2fdae25/agentops-0.3.23.tar.gz","yanked":false,"yanked_reason":null}],"0.3.24":[{"comment_text":null,"digests":{"blake2b_256":"254ea7d131802bac2ece5302ebf78dcef1ba1ba2f8b3a51fbe44c7f52bae6a53","md5":"39c39d8a7f1285add0fec21830a89a4a","sha256":"c5dfc8098b0dd49ddd819aa55280d07f8bfbf2f8fa088fc51ff5849b65062b10"},"downloads":-1,"filename":"agentops-0.3.24-py3-none-any.whl","has_sig":false,"md5_digest":"39c39d8a7f1285add0fec21830a89a4a","packagetype":"bdist_wheel","python_version":"py3","requires_python":"<3.14,>=3.9","size":71957,"upload_time":"2025-01-18T19:08:02","upload_time_iso_8601":"2025-01-18T19:08:02.053316Z","url":"https://files.pythonhosted.org/packages/25/4e/a7d131802bac2ece5302ebf78dcef1ba1ba2f8b3a51fbe44c7f52bae6a53/agentops-0.3.24-py3-none-any.whl","yanked":false,"yanked_reason":null},{"comment_text":null,"digests":{"blake2b_256":"71fee96e22c4bf762f34cd5ba435880470dad4576ab357ee61742fe053752322","md5":"3e1b7e0a31197936e099a7509128f794","sha256":"c97a3af959b728bcfbfb1ac2494cef82d8804defc9dac858648b39a9ecdcd2e4"},"downloads":-1,"filename":"agentops-0.3.24.tar.gz","has_sig":false,"md5_digest":"3e1b7e0a31197936e099a7509128f794","packagetype":"sdist","python_version":"source","requires_python":"<3.14,>=3.9","size":233974,"upload_time":"2025-01-18T19:08:04","upload_time_iso_8601":"2025-01-18T19:08:04.121618Z","url":"https://files.pythonhosted.org/packages/71/fe/e96e22c4bf762f34cd5ba435880470dad4576ab357ee61742fe053752322/agentops-0.3.24.tar.gz","yanked":false,"yanked_reason":null}],"0.3.25":[{"comment_text":null,"digests":{"blake2b_256":"e6e39cff4ed65c5deac34f427ed60cd7af3604ec7ed8a999c351f6411e190d3b","md5":"328dedc417be02fc28f8a4c7ed7b52e9","sha256":"4faebf73a62aa0bcac8578428277ca5b9af5e828f49f2cb03a9695b8426e6b9d"},"downloads":-1,"filename":"agentops-0.3.25-py3-none-any.whl","has_sig":false,"md5_digest":"328dedc417be02fc28f8a4c7ed7b52e9","packagetype":"bdist_wheel","python_version":"py3","requires_python":"<3.14,>=3.9","size":71971,"upload_time":"2025-01-22T10:43:16","upload_time_iso_8601":"2025-01-22T10:43:16.070593Z","url":"https://files.pythonhosted.org/packages/e6/e3/9cff4ed65c5deac34f427ed60cd7af3604ec7ed8a999c351f6411e190d3b/agentops-0.3.25-py3-none-any.whl","yanked":false,"yanked_reason":null},{"comment_text":null,"digests":{"blake2b_256":"2fdfeb00eaabebb51feae0724a5928f25df4d71d1c8392204f4f849351fd748c","md5":"a40bc7037baf6dbba92d63331f561a28","sha256":"868d855b6531d1fa2d1047db2cb03ddb1121062fd51c44b564dc626f15cc1e40"},"downloads":-1,"filename":"agentops-0.3.25.tar.gz","has_sig":false,"md5_digest":"a40bc7037baf6dbba92d63331f561a28","packagetype":"sdist","python_version":"source","requires_python":"<3.14,>=3.9","size":234024,"upload_time":"2025-01-22T10:43:17","upload_time_iso_8601":"2025-01-22T10:43:17.986230Z","url":"https://files.pythonhosted.org/packages/2f/df/eb00eaabebb51feae0724a5928f25df4d71d1c8392204f4f849351fd748c/agentops-0.3.25.tar.gz","yanked":false,"yanked_reason":null}],"0.3.26":[{"comment_text":null,"digests":{"blake2b_256":"f521671c458951850bd3a445aa09eafd2793aae1104fa68351a5c3976cdf762b","md5":"c3f8fa92ff5a94a37516e774c7f58b9a","sha256":"20948f52e3ffb4ba1d52301c3a82e59490182c4dad22774ad831dce0181eb5c2"},"downloads":-1,"filename":"agentops-0.3.26-py3-none-any.whl","has_sig":false,"md5_digest":"c3f8fa92ff5a94a37516e774c7f58b9a","packagetype":"bdist_wheel","python_version":"py3","requires_python":"<3.14,>=3.9","size":72090,"upload_time":"2025-01-24T23:44:06","upload_time_iso_8601":"2025-01-24T23:44:06.828461Z","url":"https://files.pythonhosted.org/packages/f5/21/671c458951850bd3a445aa09eafd2793aae1104fa68351a5c39Line truncated
+        FileNotFoundError impacting OpenAI and LiteLLM integrations"},{"comment_text":"","digests":{"blake2b_256":"235508ce5915f1ceb86ea6f7a6e8c8dc025b34981408a1b638316b5140fad525","md5":"53ef2f5230de09260f4ead09633dde62","sha256":"ae98540355ce9b892a630e61a7224a9175657cad1b7e799269238748ca7bc0ea"},"downloads":-1,"filename":"agentops-0.3.5.tar.gz","has_sig":false,"md5_digest":"53ef2f5230de09260f4ead09633dde62","packagetype":"sdist","python_version":"source","requires_python":">=3.7","size":42699,"upload_time":"2024-08-01T19:32:21","upload_time_iso_8601":"2024-08-01T19:32:21.259555Z","url":"https://files.pythonhosted.org/packages/23/55/08ce5915f1ceb86ea6f7a6e8c8dc025b34981408a1b638316b5140fad525/agentops-0.3.5.tar.gz","yanked":true,"yanked_reason":"Introduces
+        FileNotFoundError impacting OpenAI and LiteLLM integrations"}],"0.3.6":[{"comment_text":"","digests":{"blake2b_256":"be89412afc864df3715d377cff9fe15deadaccdc0902b0a242f742f286e6d84b","md5":"149922f5cd986a8641b6e88c991af0cc","sha256":"413f812eb015fb31175a507784afe08123adfa9e227870e315899b059f42b443"},"downloads":-1,"filename":"agentops-0.3.6-py3-none-any.whl","has_sig":false,"md5_digest":"149922f5cd986a8641b6e88c991af0cc","packagetype":"bdist_wheel","python_version":"py3","requires_python":">=3.7","size":39431,"upload_time":"2024-08-02T06:48:19","upload_time_iso_8601":"2024-08-02T06:48:19.594149Z","url":"https://files.pythonhosted.org/packages/be/89/412afc864df3715d377cff9fe15deadaccdc0902b0a242f742f286e6d84b/agentops-0.3.6-py3-none-any.whl","yanked":false,"yanked_reason":null},{"comment_text":"","digests":{"blake2b_256":"c3bf85f1439c3951ef69c81dbd7ef6df8a11df957e8d1180d835d71c11fa5131","md5":"b68d3124e365867f891bec4fb211a398","sha256":"0941f2486f3a561712ba6f77d560b49e2df55be141f243da0f9dc97ed43e6968"},"downloads":-1,"filename":"agentops-0.3.6.tar.gz","has_sig":false,"md5_digest":"b68d3124e365867f891bec4fb211a398","packagetype":"sdist","python_version":"source","requires_python":">=3.7","size":42933,"upload_time":"2024-08-02T06:48:21","upload_time_iso_8601":"2024-08-02T06:48:21.508300Z","url":"https://files.pythonhosted.org/packages/c3/bf/85f1439c3951ef69c81dbd7ef6df8a11df957e8d1180d835d71c11fa5131/agentops-0.3.6.tar.gz","yanked":false,"yanked_reason":null}],"0.3.7":[{"comment_text":"","digests":{"blake2b_256":"a34d05ba61e4fbd976dabe736d74fb2bb14d064ca758f05f084c0dadb6ac5cb1","md5":"551df1e89278270e0f5522d41f5c28ae","sha256":"7eeec5bef41e9ba397b3d880bcec8cd0818209ab31665c85e8b97615011a23d9"},"downloads":-1,"filename":"agentops-0.3.7-py3-none-any.whl","has_sig":false,"md5_digest":"551df1e89278270e0f5522d41f5c28ae","packagetype":"bdist_wheel","python_version":"py3","requires_python":">=3.7","size":39816,"upload_time":"2024-08-08T23:21:45","upload_time_iso_8601":"2024-08-08T23:21:45.035395Z","url":"https://files.pythonhosted.org/packages/a3/4d/05ba61e4fbd976dabe736d74fb2bb14d064ca758f05f084c0dadb6ac5cb1/agentops-0.3.7-py3-none-any.whl","yanked":false,"yanked_reason":null},{"comment_text":"","digests":{"blake2b_256":"9f31034c3e062287f4fe9f57f2448e9508617a26bbb8a16b11c77cda9b28e1c0","md5":"1c48a797903a25988bae9b72559307ec","sha256":"048ee3caa5edf01b98c994e4e3ff90c09d83f820a43a70f07db96032c3386750"},"downloads":-1,"filename":"agentops-0.3.7.tar.gz","has_sig":false,"md5_digest":"1c48a797903a25988bae9b72559307ec","packagetype":"sdist","python_version":"source","requires_python":">=3.7","size":43495,"upload_time":"2024-08-08T23:21:46","upload_time_iso_8601":"2024-08-08T23:21:46.798531Z","url":"https://files.pythonhosted.org/packages/9f/31/034c3e062287f4fe9f57f2448e9508617a26bbb8a16b11c77cda9b28e1c0/agentops-0.3.7.tar.gz","yanked":false,"yanked_reason":null}],"0.3.9":[{"comment_text":"","digests":{"blake2b_256":"660ce931f892e0cedd40d861c3deff4134e1af1d226d6dc9762b32514d6dbc9f","md5":"82792de7bccabed058a24d3bd47443db","sha256":"582c9ddb30a9bb951b4d3ee2fd0428ba77d4a4367950b9cc6043f45b10bf12d8"},"downloads":-1,"filename":"agentops-0.3.9-py3-none-any.whl","has_sig":false,"md5_digest":"82792de7bccabed058a24d3bd47443db","packagetype":"bdist_wheel","python_version":"py3","requires_python":">=3.7","size":40235,"upload_time":"2024-08-15T21:21:33","upload_time_iso_8601":"2024-08-15T21:21:33.468748Z","url":"https://files.pythonhosted.org/packages/66/0c/e931f892e0cedd40d861c3deff4134e1af1d226d6dc9762b32514d6dbc9f/agentops-0.3.9-py3-none-any.whl","yanked":false,"yanked_reason":null},{"comment_text":"","digests":{"blake2b_256":"e17b68cef3aaf44d423046b7779e9325e4feef5257e6d784a55c9dadf84bd61a","md5":"470f3b2663b71eb2f1597903bf8922e7","sha256":"7c999edbc64196924acdb06da09ec664a09d9fec8e73ba4e0f89e5f3dafc79e5"},"downloads":-1,"filename":"agentops-0.3.9.tar.gz","has_sig":false,"md5_digest":"470f3b2663b71eb2f1597903bf8922e7","packagetype":"sdist","python_version":"source","requires_python":">=3.7","size":43796,"upload_time":"2024-08-15T21:21:34","upload_time_iso_8601":"2024-08-15T21:21:34.591272Z","url":"https://files.pythonhosted.org/packages/e1/7b/68cef3aaf44d423046b7779e9325e4feef5257e6d784a55c9dadf84bd61a/agentops-0.3.9.tar.gz","yanked":false,"yanked_reason":null}],"0.4.0":[{"comment_text":null,"digests":{"blake2b_256":"060e66184fab1fc3bdd955ac20ea7bdef78f5b9aecc4080ea3e054c2a2436991","md5":"250de44e3599992c75625cef67682ecd","sha256":"b4821b8ec69c05a4d13b34eaad4762bb06a4f14e1241d57c16fdd28de5c8c929"},"downloads":-1,"filename":"agentops-0.4.0-py3-none-any.whl","has_sig":false,"md5_digest":"250de44e3599992c75625cef67682ecd","packagetype":"bdist_wheel","python_version":"py3","requires_python":"<3.14,>=3.9","size":171419,"upload_time":"2025-03-13T11:24:15","upload_time_iso_8601":"2025-03-13T11:24:15.042606Z","url":"https://files.pythonhosted.org/packages/06/0e/66184fab1fc3bdd955ac20ea7bdef78f5b9aecc4080ea3e054c2a2436991/agentopLine truncated
+        dependencies"},{"comment_text":null,"digests":{"blake2b_256":"ff7f8a57d060489c780db3e15c4d9ff8c670e5db583549c74dd2d32ae6ec10c0","md5":"ea0932849a7311750c6ac0e567c90182","sha256":"45f5367cecd8a0b648055b6ec76e8a6a2801425e80dede8f86b39e9c6cfe1d98"},"downloads":-1,"filename":"agentops-0.4.0.tar.gz","has_sig":false,"md5_digest":"ea0932849a7311750c6ac0e567c90182","packagetype":"sdist","python_version":"source","requires_python":"<3.14,>=3.9","size":248757,"upload_time":"2025-03-13T11:24:16","upload_time_iso_8601":"2025-03-13T11:24:16.866033Z","url":"https://files.pythonhosted.org/packages/ff/7f/8a57d060489c780db3e15c4d9ff8c670e5db583549c74dd2d32ae6ec10c0/agentops-0.4.0.tar.gz","yanked":true,"yanked_reason":"broken
+        dependencies"}],"0.4.1":[{"comment_text":null,"digests":{"blake2b_256":"736e7ab03c56260ec59bfaeeb08efb76f55ec6153861ad2a9cf20b38b222e4e7","md5":"3fcebe0141ca19b2fbcb53e918003ce9","sha256":"69c944e22628bc0f52c534007d2453da2a1988a7fd1f993720c4a15b0f70465a"},"downloads":-1,"filename":"agentops-0.4.1-py3-none-any.whl","has_sig":false,"md5_digest":"3fcebe0141ca19b2fbcb53e918003ce9","packagetype":"bdist_wheel","python_version":"py3","requires_python":"<3.14,>=3.9","size":171402,"upload_time":"2025-03-13T16:29:26","upload_time_iso_8601":"2025-03-13T16:29:26.477091Z","url":"https://files.pythonhosted.org/packages/73/6e/7ab03c56260ec59bfaeeb08efb76f55ec6153861ad2a9cf20b38b222e4e7/agentops-0.4.1-py3-none-any.whl","yanked":true,"yanked_reason":"Broken
+        dependencies"},{"comment_text":null,"digests":{"blake2b_256":"ca303217cd3480ad099ffa92848ccbc8672e5232c22918c95a4b99e49c0ef31e","md5":"ec421fa88b575b827fc0d3fd02f45515","sha256":"fec044f0346dca6aba17e458e669ac1f52f1b618a4a15b43342615096c5e7d56"},"downloads":-1,"filename":"agentops-0.4.1.tar.gz","has_sig":false,"md5_digest":"ec421fa88b575b827fc0d3fd02f45515","packagetype":"sdist","python_version":"source","requires_python":"<3.14,>=3.9","size":248747,"upload_time":"2025-03-13T16:29:27","upload_time_iso_8601":"2025-03-13T16:29:27.905694Z","url":"https://files.pythonhosted.org/packages/ca/30/3217cd3480ad099ffa92848ccbc8672e5232c22918c95a4b99e49c0ef31e/agentops-0.4.1.tar.gz","yanked":true,"yanked_reason":"Broken
+        dependencies"}],"0.4.10":[{"comment_text":null,"digests":{"blake2b_256":"301e0fe4fb617a5a69a8692b571d726f03e713a37d94d6a43c595a08fc33cff3","md5":"5ac7ec12e80bae6946dc10e46ef768f7","sha256":"917ad7ad51af0ca00cace2a3ae1d1d36e0d65dc813e030fcd377ff98535002bd"},"downloads":-1,"filename":"agentops-0.4.10-py3-none-any.whl","has_sig":false,"md5_digest":"5ac7ec12e80bae6946dc10e46ef768f7","packagetype":"bdist_wheel","python_version":"py3","requires_python":"<3.14,>=3.9","size":198777,"upload_time":"2025-05-08T20:37:29","upload_time_iso_8601":"2025-05-08T20:37:29.322288Z","url":"https://files.pythonhosted.org/packages/30/1e/0fe4fb617a5a69a8692b571d726f03e713a37d94d6a43c595a08fc33cff3/agentops-0.4.10-py3-none-any.whl","yanked":false,"yanked_reason":null},{"comment_text":null,"digests":{"blake2b_256":"a0ef0a56be3981bd464ad5a22fa3a859421f4b5560cbbb082f3ef9aca9cdb1a7","md5":"1954d07bfa38ba5c5ce0e516b7dbfdc9","sha256":"b66a48b4ec50c9cb34abc6ff1df873f0dcddbbb528d8a8c0527cb97b24c91b36"},"downloads":-1,"filename":"agentops-0.4.10.tar.gz","has_sig":false,"md5_digest":"1954d07bfa38ba5c5ce0e516b7dbfdc9","packagetype":"sdist","python_version":"source","requires_python":"<3.14,>=3.9","size":284727,"upload_time":"2025-05-08T20:37:30","upload_time_iso_8601":"2025-05-08T20:37:30.744217Z","url":"https://files.pythonhosted.org/packages/a0/ef/0a56be3981bd464ad5a22fa3a859421f4b5560cbbb082f3ef9aca9cdb1a7/agentops-0.4.10.tar.gz","yanked":false,"yanked_reason":null}],"0.4.11":[{"comment_text":null,"digests":{"blake2b_256":"35cde66dea05d2d8070f886e8f4ce86905cf1cce2f89622e041f26e39f717c9e","md5":"20424d54ba76517d586d4bcc92dda3bf","sha256":"b08c84fd69f36fcd5d6f2b14d16ff88b977a9a417d92448c9709f3c7990d6438"},"downloads":-1,"filename":"agentops-0.4.11-py3-none-any.whl","has_sig":false,"md5_digest":"20424d54ba76517d586d4bcc92dda3bf","packagetype":"bdist_wheel","python_version":"py3","requires_python":"<3.14,>=3.9","size":198789,"upload_time":"2025-05-12T20:38:29","upload_time_iso_8601":"2025-05-12T20:38:29.202046Z","url":"https://files.pythonhosted.org/packages/35/cd/e66dea05d2d8070f886e8f4ce86905cf1cce2f89622e041f26e39f717c9e/agentops-0.4.11-py3-none-any.whl","yanked":false,"yanked_reason":null},{"comment_text":null,"digests":{"blake2b_256":"349df76fc1760cb21788967db3dd22ff2e6521c42b8ecee152e6ac4278e7cade","md5":"b7affd8b15834e4f9cb63066d7d160d1","sha256":"6eb80ee4a0653f9bdc9fc7641bf60cb7546cd34ff1c04dfbc4fca77dbb07edda"},"downloads":-1,"filename":"agentops-0.4.11.tar.gz","has_sig":false,"md5_digest":"b7affd8b15834e4f9cb63066d7d160d1","packagetype":"sdist","python_version":"source","requires_python":"<3.14,>=3.9","size":284735,"upload_time":"2025-05-12T20:38:30","upload_time_iso_8601":"2025-05-12T20:38:30.393540Z","url":"https://files.pythonhosted.org/packages/34/9d/f76fc1760cb21788967db3dd22ff2e6521c42b8ecee152e6ac4278e7cade/agentops-0.4.11.tar.gz","yanked":false,"yanked_reason":null}],"0.4.12":[{"comment_text":null,"digests":{"blake2b_256":"eb86772ed94e4e55433e8014933dab08aa6dfbcd8072f7fd74ffcad335ba0e73","md5":"831a3d54bccce09cc6c2a352776d02e6","sha256":"7c2685ae9c9de1a1071f6a29d395444191744d5ee58e33c020a69e2388dc2f7c"},"downloads":-1,"filename":"agentops-0.4.12-py3-none-any.whl","has_sig":false,"md5_digest":"831a3d54bccce09cc6c2a352776d02e6","packagetype":"bdist_wheel","python_version":"py3","requires_python":"<3.14,>=3.9","size":198319,"upload_time":"2025-05-15T19:59:27","upload_time_iso_8601":"2025-05-15T19:59:27.609093Z","url":"https://files.pythonhosted.org/packages/eb/86/772ed94e4e55433e8014933dab08aa6dfbcd8072f7fd74ffcad335ba0e73/agentops-0.4.12-py3-none-any.whl","yanked":false,"yanked_reason":null},{"comment_text":null,"digests":{"blake2b_256":"0cf664cea8e916a305d2dc2f3f3840a1d4cae40e1927892e1fcc11f83ec7ebee","md5":"7e97e0612a6e8544b37a2fa2e1633166","sha256":"530f15d428a4c78db918fa766366c8f11105c4d1d3b1a56de027747d805a573f"},"downloads":-1,"filename":"agentops-0.4.12.tar.gz","has_sig":false,"md5_digest":"7e97e0612a6e8544b37a2fa2e1633166","packagetype":"sdist","python_version":"source","requires_python":"<3.14,>=3.9","size":284309,"upload_time":"2025-05-15T19:59:28","upload_time_iso_8601":"2025-05-15T19:59:28.955745Z","url":"https://files.pythonhosted.org/packages/0c/f6/64cea8e916a305d2dc2f3f3840a1d4cae40e1927892e1fcc11f83ec7ebee/agentops-0.4.12.tar.gz","yanked":false,"yanked_reason":null}],"0.4.13":[{"comment_text":null,"digests":{"blake2b_256":"637f1514550d55e8ba0e2aef4f652678413e9979f4f6c019d8032cfd9fade10e","md5":"ddea9230651973616b50a1f089657999","sha256":"256cfcd4eb257d0a3c9538bd461ffe1dceb15cd0627b405b45d99661d8925247"},"downloads":-1,"filename":"agentops-0.4.13-py3-none-any.whl","has_sig":false,"md5_digest":"ddea9230651973616b50a1f089657999","packagetype":"bdist_wheel","python_version":"py3","requires_python":"<3.14,>=3.9","size":214973,"upload_time":"2025-05-27T22:32:40","upload_time_iso_8601":"2025-05-27T22:32:40.986531Z","url":"https://files.pythonhosted.org/packages/63/7f/1514550d55e8ba0e2aef4f652678413e9979f4f6c019Line truncated
+
+        '
+    headers:
+      Accept-Ranges:
+      - bytes
+      Connection:
+      - keep-alive
+      Content-Length:
+      - '144138'
+      Date:
+      - Fri, 13 Jun 2025 21:46:18 GMT
+      Permissions-Policy:
+      - publickey-credentials-create=(self),publickey-credentials-get=(self),accelerometer=(),ambient-light-sensor=(),autoplay=(),battery=(),camera=(),display-capture=(),document-domain=(),encrypted-media=(),execution-while-not-rendered=(),execution-while-out-of-viewport=(),fullscreen=(),gamepad=(),geolocation=(),gyroscope=(),hid=(),identity-credentials-get=(),idle-detection=(),local-fonts=(),magnetometer=(),microphone=(),midi=(),otp-credentials=(),payment=(),picture-in-picture=(),screen-wake-lock=(),serial=(),speaker-selection=(),storage-access=(),usb=(),web-share=(),xr-spatial-tracking=()
+      Strict-Transport-Security:
+      - max-age=31536000; includeSubDomains; preload
+      Vary:
+      - Accept-Encoding
+      X-Cache:
+      - MISS, HIT, HIT
+      X-Cache-Hits:
+      - 0, 218, 3
+      X-Content-Type-Options:
+      - nosniff
+      X-Frame-Options:
+      - deny
+      X-Permitted-Cross-Domain-Policies:
+      - none
+      X-Served-By:
+      - cache-iad-kjyo7100125-IAD, cache-iad-kjyo7100044-IAD, cache-sjc1000116-SJC
+      X-Timer:
+      - S1749851179.582150,VS0,VE0
+      X-XSS-Protection:
+      - 1; mode=block
+      access-control-allow-headers:
+      - Content-Type, If-Match, If-Modified-Since, If-None-Match, If-Unmodified-Since
+      access-control-allow-methods:
+      - GET
+      access-control-allow-origin:
+      - '*'
+      access-control-expose-headers:
+      - X-PyPI-Last-Serial
+      access-control-max-age:
+      - '86400'
+      cache-control:
+      - max-age=900, public
+      content-security-policy:
+      - base-uri 'self'; connect-src 'self' https://api.github.com/repos/ https://api.github.com/search/issues
+        https://gitlab.com/api/ https://analytics.python.org fastly-insights.com *.fastly-insights.com
+        *.ethicalads.io https://api.pwnedpasswords.com https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/sre/mathmaps/
+        https://2p66nmmycsj3.statuspage.io; default-src 'none'; font-src 'self' fonts.gstatic.com;
+        form-action 'self' https://checkout.stripe.com; frame-ancestors 'none'; frame-src
+        'none'; img-src 'self' https://pypi-camo.freetls.fastly.net/ *.fastly-insights.com
+        *.ethicalads.io ethicalads.blob.core.windows.net; script-src 'self' https://analytics.python.org
+        *.fastly-insights.com *.ethicalads.io 'sha256-U3hKDidudIaxBDEzwGJApJgPEf2mWk6cfMWghrAa6i0='
+        https://cdn.jsdelivr.net/npm/mathjax@3.2.2/ 'sha256-1CldwzdEg2k1wTmf7s5RWVd7NMXI/7nxxjJM2C4DqII='
+        'sha256-0POaN8stWYQxhzjKS+/eOfbbJ/u4YHO5ZagJvLpMypo='; style-src 'self' fonts.googleapis.com
+        *.ethicalads.io 'sha256-2YHqZokjiizkHi1Zt+6ar0XJ0OeEy/egBnlm+MDMtrM=' 'sha256-47DEQpj8HBSa+/TImW+5JCeuQeRkm5NMpJWZG3hSuFU='
+        'sha256-JLEjeN9e5dGsz5475WyRaoA4eQOdNPxDIeUhclnJDCE=' 'sha256-mQyxHEuwZJqpxCw3SLmc4YOySNKXunyu2Oiz1r3/wAE='
+        'sha256-OCf+kv5Asiwp++8PIevKBYSgnNLNUZvxAp4a7wMLuKA=' 'sha256-h5LOiLhk6wiJrGsG5ItM0KimwzWQH/yAcmoJDJL//bY=';
+        worker-src *.fastly-insights.com
+      content-type:
+      - application/json
+      etag:
+      - '"Y8GjfV78FNBfXxzJ4cp5Yg"'
+      referrer-policy:
+      - origin-when-cross-origin
+      x-pypi-last-serial:
+      - '29355868'
+    status:
+      code: 200
+      message: OK
 version: 1

tests/cassettes/test_guardrail_is_called_using_callable.yaml

@@ -0,0 +1,130 @@
+interactions:
+- request:
+    body: '{"messages": [{"role": "system", "content": "You are Sports Analyst. You
+      are an expert at gathering and organizing information. You carefully collect
+      details and present them in a structured way.\nYour personal goal is: Gather
+      information about the best soccer players\n\nTo give my best complete final
+      answer to the task respond using the exact following format:\n\nThought: I now
+      can give a great answer\nFinal Answer: Your final answer must be the great and
+      the most complete as possible, it must be outcome described.\n\nI MUST use these
+      formats, my job depends on it!"}, {"role": "user", "content": "Top 1 best players
+      in the world?"}], "model": "gpt-4o-mini", "stop": ["\nObservation:"]}'
+    headers:
+      accept:
+      - application/json
+      accept-encoding:
+      - gzip, deflate, zstd
+      connection:
+      - keep-alive
+      content-length:
+      - '693'
+      content-type:
+      - application/json
+      host:
+      - api.openai.com
+      user-agent:
+      - OpenAI/Python 1.78.0
+      x-stainless-arch:
+      - arm64
+      x-stainless-async:
+      - 'false'
+      x-stainless-lang:
+      - python
+      x-stainless-os:
+      - MacOS
+      x-stainless-package-version:
+      - 1.78.0
+      x-stainless-raw-response:
+      - 'true'
+      x-stainless-read-timeout:
+      - '600.0'
+      x-stainless-retry-count:
+      - '0'
+      x-stainless-runtime:
+      - CPython
+      x-stainless-runtime-version:
+      - 3.12.9
+    method: POST
+    uri: https://api.openai.com/v1/chat/completions
+  response:
+    body:
+      string: !!binary |
+        H4sIAAAAAAAAAwAAAP//TFPRbttGEHzPVwz04taQBFt1nFZvsgsnRlvYqI0aafOyPK7IjY97xO1R
+        CpMv6nf0x4qlZLcvBHh3Mzs7s/vtDTCTerbGLLRUQtfHxVUzPF6udsaXHx/Cn7//8fG8e9rf/XxF
+        X+vqaTZ3RKo+cygvqGVIXR+5SNLDdchMhZ31/N3FT28vL99enE0XXao5Oqzpy+IiLTpRWazOVheL
+        s3eL8x+P6DZJYJut8dcbAPg2fV2n1vxltsbENZ10bEYNz9avj4BZTtFPZmQmVkjLbP7fZUhaWCfp
+        j20amrascQtNewRSNLJjEBrXD1LbcwY+6Y0oRWym/zUeW0ZJPfpII2eIorSMfcqxnoMMaYu7UFLF
+        Gauz1Q9ziOFXScoRv7GZLPEkNccRmRvKNdcTSNmBzjRVZyuwFALnY52Jl2JEkY7nBya0ZGipBikk
+        xsFKljQYAmXmjNBSplA4y1euUY3gLyVTyrUo5RH2LDHaHDsxSToHaY2Q1E1jDePSO/+kv/CITWiF
+        d9yxFlv78QKnp9dxqOz0dH2UYj1rmfR39DllKaMLbuVVDRXcXOOKcuCYlObYt5wZLaPiQB1P2BCH
+        6sS8z4X3ichUizawkDLnJT5MzxQlk9qWc+YaJeGeshgeSLQs3nPuSBTf3T+8/97TWZ2tzpcHzbda
+        OCv5pFJ07R+8RI1NbliLKDnZTkJJeXwJ1uG4Tj1h0/3zd5ZAk1PHqxVubm82ePL0cT30cxiHIbtm
+        7z1yQ2H0gAkvddFyTsuji5s95fp/Nnqi+6Tohlikj4wrijEp6pO7DJoez9FK00Zp2vJSxgqVwbxM
+        mfy08jKdTUwVxTgiKYx3nCkihUAeuS094PtIo/M8lDHylO5BiRieNe0V25SnIqIhcy1VZNRZqio6
+        iiqJUsY5+sxBjNH72mlzGKc+pyhbCWgSxYWHKNos8cGd8ZVjz8PnpMm085HxZveGVjpPoiPlYccZ
+        pc2+qyjeNGreshobjKmLbBbHOTp6PrjRgaYx9s13oK9yOkS5FY71chrrW93GgTUcOr7iMWk92ShW
+        JNhxwU4M0vUUXhka8uU7uHEk8CuyXqbMj7t66H5Kpk+5WEdqrfRo6V8AAAD//4xVy24CIRTdz1cQ
+        1m1Tx+nCr+gXGHKFO85NGSDAaF347w2ggtUmXR84931O0hcdLJP5mlC14yNzPfmJQlrB0qkkWWQW
+        VMyhH62fIUVNApUXgWk8oGZH1JqRiTYzzqRe1+8hDRFYEhOY83kWVKEimbcx55mFoLTlM2+IvuoL
+        fuPs0gQxsOMEkVFkM4IJiWmHD9vWaiGLVsHprRVfj+MSIBmAWbRuADDGxpxQlv3tBTnfhF7bvfN2
+        F3595SMZCpPwCMGaJOohWsczeu4Y22ZDWe48gjtvZxdFtF+Yw636vvDx6mMV7TebCxptBF2BoV+9
+        PCEUCiOQDo0ncQlyQlW/VgODRZFtgK4p+zGdZ9yldDL7/9BXQEp0EZVw6aTlfcn1mcfk8389u7U5
+        J8wD+gNJFJHQp1EoHGHRxX15OIWIsxjJ7NE7T8WCRyfWA3wMgJu15N25+wEAAP//AwDdzCHTkAgA
+        AA==
+    headers:
+      CF-RAY:
+      - 94d9a27f5dc000f9-GRU
+      Connection:
+      - keep-alive
+      Content-Encoding:
+      - gzip
+      Content-Type:
+      - application/json
+      Date:
+      - Tue, 10 Jun 2025 14:42:51 GMT
+      Server:
+      - cloudflare
+      Set-Cookie:
+      - __cf_bm=7hq1JYlSmmLvjUR7npK1vcLJYOvCPn947S.EYBtvTcQ-1749566571-1.0.1.1-11XCSwdUqYCYC3zE9DZk20c_BHXTPqEi6YMhVtX9dekgrj0J3a4EHGdHvcnhBNkIxYzhM4zzQsetx2sxisMk62ywkO8Tzo3rlYdo__Kov7w;
+        path=/; expires=Tue, 10-Jun-25 15:12:51 GMT; domain=.api.openai.com; HttpOnly;
+        Secure; SameSite=None
+      - _cfuvid=bhxj6kzt6diFCyNbiiw60v4lKiUKaoHjQ3Yc4KWW4OI-1749566571331-0.0.1.1-604800000;
+        path=/; domain=.api.openai.com; HttpOnly; Secure; SameSite=None
+      Transfer-Encoding:
+      - chunked
+      X-Content-Type-Options:
+      - nosniff
+      access-control-expose-headers:
+      - X-Request-ID
+      alt-svc:
+      - h3=":443"; ma=86400
+      cf-cache-status:
+      - DYNAMIC
+      openai-organization:
+      - crewai-iuxna1
+      openai-processing-ms:
+      - '30419'
+      openai-version:
+      - '2020-10-01'
+      strict-transport-security:
+      - max-age=31536000; includeSubDomains; preload
+      x-envoy-upstream-service-time:
+      - '30424'
+      x-ratelimit-limit-requests:
+      - '30000'
+      x-ratelimit-limit-tokens:
+      - '150000000'
+      x-ratelimit-remaining-requests:
+      - '29999'
+      x-ratelimit-remaining-tokens:
+      - '149999859'
+      x-ratelimit-reset-requests:
+      - 2ms
+      x-ratelimit-reset-tokens:
+      - 0s
+      x-request-id:
+      - req_b5983a9572e28ded39da7b12e678e2b7
+    status:
+      code: 200
+      message: OK
+version: 1

tests/cassettes/test_guardrail_is_called_using_string.yaml

@@ -0,0 +1,643 @@
+interactions:
+- request:
+    body: '{"messages": [{"role": "system", "content": "You are Sports Analyst. You
+      are an expert at gathering and organizing information. You carefully collect
+      details and present them in a structured way.\nYour personal goal is: Gather
+      information about the best soccer players\n\nTo give my best complete final
+      answer to the task respond using the exact following format:\n\nThought: I now
+      can give a great answer\nFinal Answer: Your final answer must be the great and
+      the most complete as possible, it must be outcome described.\n\nI MUST use these
+      formats, my job depends on it!"}, {"role": "user", "content": "Top 10 best players
+      in the world?"}], "model": "gpt-4o-mini", "stop": ["\nObservation:"]}'
+    headers:
+      accept:
+      - application/json
+      accept-encoding:
+      - gzip, deflate, zstd
+      connection:
+      - keep-alive
+      content-length:
+      - '694'
+      content-type:
+      - application/json
+      host:
+      - api.openai.com
+      user-agent:
+      - OpenAI/Python 1.78.0
+      x-stainless-arch:
+      - arm64
+      x-stainless-async:
+      - 'false'
+      x-stainless-lang:
+      - python
+      x-stainless-os:
+      - MacOS
+      x-stainless-package-version:
+      - 1.78.0
+      x-stainless-raw-response:
+      - 'true'
+      x-stainless-read-timeout:
+      - '600.0'
+      x-stainless-retry-count:
+      - '0'
+      x-stainless-runtime:
+      - CPython
+      x-stainless-runtime-version:
+      - 3.12.9
+    method: POST
+    uri: https://api.openai.com/v1/chat/completions
+  response:
+    body:
+      string: !!binary |
+        H4sIAAAAAAAAA6RXXW4cNxJ+1ykK8+JdoyVII/lH8yZprUi25BVsB0GwDoQadk13ZdgkU2TPaBIY
+        2Lc9wx5hz7F7kj1JUOye38iBgrwImiZZrPr41VdVv+wBDLgcjGBgakymCXb/vGrfyvX4+zCZ/fTd
+        3dWPD69v+N3V7bfjDw/N20GhJ/z4RzJpeerA+CZYSuxdt2yEMJFaPXp1cvri5YvTl6/yQuNLsnqs
+        Cmn/xO837Hh/eDg82T98tX/0uj9dezYUByP4xx4AwC/5r/rpSnoYjOCwWH5pKEasaDBabQIYiLf6
+        ZYAxckzo0qBYLxrvErns+qfat1WdRnANzs/BoIOKZwQIlfoP6OKcBOCzu2SHFs7y7xFckRCgEKSa
+        IPkAR4cwppggemNIIFhckERgl3fMvdgSMIKfwN9N8mMSGB4OjwsYY6QSfN7GAoFk4qVBZ6gAbgKa
+        VAC6EvyMBK0F9V143CrQEZLP5itsaPTZfXZHB/D8+Q17RxZuKUZ+/hz+cu0SCdwyNvzXzw4A9uHO
+        R1YLI7j0Mkcp++8XvnVJFiM4k4pcYof9whVXteWqTnHUGc6OsGspOxFrPzcYCWqOQA+GglpHC6Xw
+        eGzZVQXMOLJ3XTQKT4NTdhXgmC2nRQGWsNQPq6vV8IxN8rJY4jg8HA7h8vryDL7LiF60IduLXDme
+        sEGX7GIDI1epEXXK2Hb8LEJsjaEYKR4oXEOF693CMjq4HWMI//2PAnaHwhE+Iru0/w1Jg+yeDNyl
+        6Ns9gto75+cOJl6yO2PLMZGogzEQlTkKY9mxQQsTdhzrjFrvFnAEhCktemZlQ2Ofarj7+E0+rPBc
+        CjlTg8Me/UTYFDDdunmDYZmeN1y1BEfZBitT1qd9Kw4bcqlD61jReiP6mnCFaNGVitYtOlOTRgMX
+        nBZPRuq9fl48glRv+1mEyqPdj8ZnnIL4OcXYvXcSclWqocYZQYOlMq8B70gzTKFofEwwIRTKu3na
+        Z+ObVnygAmqyQa3ueA+RTCsEkXK+QeJkM07GtpmdavvbN5dncFFjE3IS3hBWLWWITjKhaMYO/kZw
+        Lu3C0ZMwuuVywmRLkl2YzslW3DaP4LS64f///Pd21gWVPWVPzgRvu6TrEhAanP4GrSxdfVLuylYB
+        7GKSVomAVpd2osnXl75hp6TSDaVvKCY2+doOcXSgFYJSDrgj1AtF60I4Jkbn4YP6XnrF68zCe4xR
+        nkymOy+prdA+ClMMnJQRs14PNLSP2JYMd+L75yuW1z9TKJOgl5IdygISWnIph7LFx164YEoUMp49
+        aMa7GUnMWQTY+J40CnGhfNWzNZaAYKkiV+odBoVIAI34GKFpbeJgSSWxanuteqlgvadFgwJv5aBH
+        6Yot2iejdC74Mz+GUWf3WQSsejXO5Ztn+f+ccVO2tku3KYWUA0bVJC1+vaaQKAZdBSxyPe3rQg6Z
+        Yw/lil67bwDzmq2mM7uE7DLImrwK4ZamQRCK5EyXdK8UmQ9aUxPc0Bxd6edxmkvfOYoh6x3+ASKp
+        9jwC0aeaVIKslpmlouwUQeMlP7+2HJQrkeorqsTirgxvSHzofco/FGskYbTryrhbz1ZR5czbLmmv
+        swKhcAPn5H6mBnumXKfENZZ/vpApEP1rfyC0cIulsIosCgjp4y1p0T13ASVH1Rb1Xos8Say5q9uJ
+        TN2VvMyv2LGmR3XJmj45vkKaHPVp7nvaKcKtL4X/9y8NesO7PyK4F+Ix8WONzxk0mFXPT6Dpzy8l
+        tmtrlrrbe7HGwwG7iW21scn1vdIig2kTwWI3W+ghkLDSPBufeJ/G2gJqlbaWq1UCHB1q+Le+xoZK
+        +IgWa43/hmckwfteH7766JvBv6kWIS2/bsaerWZtDNZHbZED9o79vipmkTDkkqwD1yRYebd82Duh
+        hkmWWvDV0lFsCYQCFROmNub2el3SyKroT7o4u9z4VFOkVWuetaykxmt101Flq4RmPhbrbDa9DnY9
+        ee8zK+NjIJMUEFWmrj3pdbuA6C2XPFn0nYM2+P0TxJ3SsFVyDzanFaFJG1EnJtdau7GAzvmUZTHP
+        ST/0K19Wk5H1VRA/jjtHB5323Ath9E6noJh8GOTVL3sAP+QJrN0aqgZBfBPSffJTytcdDYedvcF6
+        8Fuvvjw96leTT2jXC6+PjotHDN6XlJBt3BjiBgZNTeX66HriUwXwGwt7G2H/1p3HbHehs6ueYn69
+        YJQfVN4HoZLNdsjrbUI6GH9t2wrm7PAgkszY0H1iEn2KkibY2m5cHcRFTNTcT9hVJEG4m1kn4f74
+        BF+cIJ0em8Hel71fAQAA//8DAICIe4nBDwAA
+    headers:
+      CF-RAY:
+      - 94d9947e9abcf1fe-GRU
+      Connection:
+      - keep-alive
+      Content-Encoding:
+      - gzip
+      Content-Type:
+      - application/json
+      Date:
+      - Tue, 10 Jun 2025 14:33:27 GMT
+      Server:
+      - cloudflare
+      Set-Cookie:
+      - __cf_bm=UscrLNUFPQp17ivpT2nYqbIb8GsK9e0GpWC7sIKWwnU-1749566007-1.0.1.1-fCm5jdN02Agxc9.Ep4aAnKukyBp9S3iOLK9NY51NLG1zib3MnfjyCm5HhsWtUvr2lIjQpD_EWosVk4JuLbGxrKYZBa4WTendGsY9lCU9naU;
+        path=/; expires=Tue, 10-Jun-25 15:03:27 GMT; domain=.api.openai.com; HttpOnly;
+        Secure; SameSite=None
+      - _cfuvid=CGbpwQsAGlm5OcWs4NP0JuyqJh.mIqHyUZjIdKm8_.I-1749566007688-0.0.1.1-604800000;
+        path=/; domain=.api.openai.com; HttpOnly; Secure; SameSite=None
+      Transfer-Encoding:
+      - chunked
+      X-Content-Type-Options:
+      - nosniff
+      access-control-expose-headers:
+      - X-Request-ID
+      alt-svc:
+      - h3=":443"; ma=86400
+      cf-cache-status:
+      - DYNAMIC
+      openai-organization:
+      - crewai-iuxna1
+      openai-processing-ms:
+      - '40370'
+      openai-version:
+      - '2020-10-01'
+      strict-transport-security:
+      - max-age=31536000; includeSubDomains; preload
+      x-envoy-upstream-service-time:
+      - '40375'
+      x-ratelimit-limit-requests:
+      - '30000'
+      x-ratelimit-limit-tokens:
+      - '150000000'
+      x-ratelimit-remaining-requests:
+      - '29999'
+      x-ratelimit-remaining-tokens:
+      - '149999859'
+      x-ratelimit-reset-requests:
+      - 2ms
+      x-ratelimit-reset-tokens:
+      - 0s
+      x-request-id:
+      - req_94fb13dc93d3bc9714811ff4ede4c08f
+    status:
+      code: 200
+      message: OK
+- request:
+    body: '{"messages": [{"role": "system", "content": "You are Guardrail Agent. You
+      are a expert at validating the output of a task. By providing effective feedback
+      if the output is not valid.\nYour personal goal is: Validate the output of the
+      task\n\nTo give my best complete final answer to the task respond using the
+      exact following format:\n\nThought: I now can give a great answer\nFinal Answer:
+      Your final answer must be the great and the most complete as possible, it must
+      be outcome described.\n\nI MUST use these formats, my job depends on it!\nIMPORTANT:
+      Your final answer MUST contain all the information requested in the following
+      format: {\n  \"valid\": bool,\n  \"feedback\": str | None\n}\n\nIMPORTANT: Ensure
+      the final output does not include any code block markers like ```json or ```python."},
+      {"role": "user", "content": "\n        Ensure the following task result complies
+      with the given guardrail.\n\n        Task result:\n        Here are the top
+      10 best soccer players in the world as of October 2023, based on their performance,
+      impact, and overall contributions to the game:\n\n1. **Lionel Messi** (Inter
+      Miami)\n   - Position: Forward\n   - Country: Argentina\n   - Highlights: Messi
+      continues to showcase his exceptional dribbling, vision, and playmaking ability,
+      leading Argentina to victory in the 2022 FIFA World Cup and significantly contributing
+      to his club''s successes.\n\n2. **Kylian Mbapp\u00e9** (Paris Saint-Germain)\n   -
+      Position: Forward\n   - Country: France\n   - Highlights: Known for his blistering
+      speed and clinical finishing, Mbapp\u00e9 is a key player for both PSG and the
+      French national team, known for his performances in Ligue 1 and international
+      tournaments.\n\n3. **Erling Haaland** (Manchester City)\n   - Position: Forward\n   -
+      Country: Norway\n   - Highlights: Haaland''s goal-scoring prowess and strength
+      have made him one of the most feared strikers in Europe, helping Manchester
+      City secure several titles including the UEFA Champions League.\n\n4. **Kevin
+      De Bruyne** (Manchester City)\n   - Position: Midfielder\n   - Country: Belgium\n   -
+      Highlights: De Bruyne\u2019s exceptional passing, control, and vision make him
+      one of the best playmakers in the world, instrumental in Manchester City\u2019s
+      dominance in domestic and European competitions.\n\n5. **Cristiano Ronaldo**
+      (Al Nassr)\n   - Position: Forward\n   - Country: Portugal\n   - Highlights:
+      Despite moving to the Saudi Pro League, Ronaldo''s extraordinary talent and
+      goal-scoring ability keep him in the conversation among the best, having had
+      a legendary career across multiple leagues.\n\n6. **Neymar Jr.** (Al Hilal)\n   -
+      Position: Forward\n   - Country: Brazil\n   - Highlights: Neymar''s agility,
+      creativity, and skill have kept him as a top performer in soccer, now showcasing
+      his talents in the Saudi Pro League while maintaining a strong national team
+      presence.\n\n7. **Robert Lewandowski** (Barcelona)\n   - Position: Forward\n   -
+      Country: Poland\n   - Highlights: The prolific striker continues to score consistently
+      in La Liga, known for his finishing, positioning, and aerial ability, contributing
+      to Barcelona\u2019s successes.\n\n8. **Karim Benzema** (Al Ittihad)\n   - Position:
+      Forward\n   - Country: France\n   - Highlights: The former Real Madrid star
+      remains a top talent, displaying leadership and technical skills, now continuing
+      his career in the Saudi Pro League.\n\n9. **Luka Modri\u0107** (Real Madrid)\n   -
+      Position: Midfielder\n   - Country: Croatia\n   - Highlights: A master of midfield
+      control and passing, Modri\u0107 remains an influential figure at Real Madrid,
+      showcasing his experience and football intelligence.\n\n10. **Mohamed Salah**
+      (Liverpool)\n    - Position: Forward\n    - Country: Egypt\n    - Highlights:
+      Salah''s explosive pace and goal-scoring ability keep him as a central figure
+      for Liverpool in the Premier League and European competitions, maintaining his
+      status as one of the elite forwards.\n\nThese players have demonstrated exceptional
+      skill, consistency, and impact in their respective teams and leagues, solidifying
+      their positions among the best in the world.\n\n        Guardrail:\n        Only
+      include Brazilian players, both women and men\n        \n        Your task:\n        -
+      Confirm if the Task result complies with the guardrail.\n        - If not, provide
+      clear feedback explaining what is wrong (e.g., by how much it violates the rule,
+      or what specific part fails).\n        - Focus only on identifying issues \u2014
+      do not propose corrections.\n        - If the Task result complies with the
+      guardrail, saying that is valid\n        "}], "model": "gpt-4o-mini", "stop":
+      ["\nObservation:"]}'
+    headers:
+      accept:
+      - application/json
+      accept-encoding:
+      - gzip, deflate, zstd
+      connection:
+      - keep-alive
+      content-length:
+      - '4676'
+      content-type:
+      - application/json
+      cookie:
+      - __cf_bm=UscrLNUFPQp17ivpT2nYqbIb8GsK9e0GpWC7sIKWwnU-1749566007-1.0.1.1-fCm5jdN02Agxc9.Ep4aAnKukyBp9S3iOLK9NY51NLG1zib3MnfjyCm5HhsWtUvr2lIjQpD_EWosVk4JuLbGxrKYZBa4WTendGsY9lCU9naU;
+        _cfuvid=CGbpwQsAGlm5OcWs4NP0JuyqJh.mIqHyUZjIdKm8_.I-1749566007688-0.0.1.1-604800000
+      host:
+      - api.openai.com
+      user-agent:
+      - OpenAI/Python 1.78.0
+      x-stainless-arch:
+      - arm64
+      x-stainless-async:
+      - 'false'
+      x-stainless-lang:
+      - python
+      x-stainless-os:
+      - MacOS
+      x-stainless-package-version:
+      - 1.78.0
+      x-stainless-raw-response:
+      - 'true'
+      x-stainless-read-timeout:
+      - '600.0'
+      x-stainless-retry-count:
+      - '0'
+      x-stainless-runtime:
+      - CPython
+      x-stainless-runtime-version:
+      - 3.12.9
+    method: POST
+    uri: https://api.openai.com/v1/chat/completions
+  response:
+    body:
+      string: !!binary |
+        H4sIAAAAAAAAA4xUwWobMRC9+ysGnVqwjZ3YjuNbQim0hULBtIc6mLE0uzuxVtpqtHbckH8v2o29
+        TpNCLwuapzfzZvRmH3sAio1agNIFRl1WdnCb119+LIvZh+/+h9zM55Op3Wzv5dt4rKei+onhN/ek
+        45E11L6sLEX2roV1IIyUso6vJtfT2Ww0mjdA6Q3ZRMurOJj4QcmOBxeji8lgdDUYz5/ZhWdNohbw
+        swcA8Nh8k05n6EEtYNQ/RkoSwZzU4nQJQAVvU0ShCEtEF1W/A7V3kVwjfVn4Oi/iAj6B83vQ6CDn
+        HQFCnvQDOtlTAFi5j+zQwk1zXsDjygGs1A4tm5VaQIZWqN8GMyKzQb1N8ZVaFgQRZQuBpLYRjCcB
+        5yM0AzvAnmMBsSDIawwmIFtAAY7ATtvakEBl8UBBIAu+hB0G9rWA9rWLgUkAnQHv7AFKcmn8AnHv
+        4Tbgb7aM7kR/95UOJQb4HIYNpz2+h33BloAeUjV2+Rlz70vq+Cl7IHsYwvKFWqlIc8YarT1AoF81
+        SRSI/thAK+6Vnj5sfCyeayQ9Jbl+EqML4HZCWW0ztpbMcKVW7un8CQNltWCykautPQPQOR+xmUMy
+        z90z8nSyi/V5FfxG/qKqjB1LsQ6E4l2yhkRfqQZ96gHcNbasXzhNVcGXVVxHv6Wm3PV01uZT3TZ0
+        6PwIRh/RdvHxaHLRfyPh2lBEtnLmbKVRF2Q6brcGWBv2Z0DvrO3Xct7K3bbOLv+f9B2gNVWRzLoK
+        ZFi/bLm7Fij9Lf517TTmRrASCjvWtI5MIT2FoQxr2+6wkoNEKtcZu5xCFbhd5KxaX05wOkG6vtSq
+        99T7AwAA//8DABZK9w/WBAAA
+    headers:
+      CF-RAY:
+      - 94d9957c4b46f1fe-GRU
+      Connection:
+      - keep-alive
+      Content-Encoding:
+      - gzip
+      Content-Type:
+      - application/json
+      Date:
+      - Tue, 10 Jun 2025 14:33:46 GMT
+      Server:
+      - cloudflare
+      Transfer-Encoding:
+      - chunked
+      X-Content-Type-Options:
+      - nosniff
+      access-control-expose-headers:
+      - X-Request-ID
+      alt-svc:
+      - h3=":443"; ma=86400
+      cf-cache-status:
+      - DYNAMIC
+      openai-organization:
+      - crewai-iuxna1
+      openai-processing-ms:
+      - '18280'
+      openai-version:
+      - '2020-10-01'
+      strict-transport-security:
+      - max-age=31536000; includeSubDomains; preload
+      x-envoy-upstream-service-time:
+      - '18287'
+      x-ratelimit-limit-requests:
+      - '30000'
+      x-ratelimit-limit-tokens:
+      - '150000000'
+      x-ratelimit-remaining-requests:
+      - '29999'
+      x-ratelimit-remaining-tokens:
+      - '149998889'
+      x-ratelimit-reset-requests:
+      - 2ms
+      x-ratelimit-reset-tokens:
+      - 0s
+      x-request-id:
+      - req_853da6b9ca8f386ff1427c837346290d
+    status:
+      code: 200
+      message: OK
+- request:
+    body: '{"messages": [{"role": "system", "content": "You are Sports Analyst. You
+      are an expert at gathering and organizing information. You carefully collect
+      details and present them in a structured way.\nYour personal goal is: Gather
+      information about the best soccer players\n\nTo give my best complete final
+      answer to the task respond using the exact following format:\n\nThought: I now
+      can give a great answer\nFinal Answer: Your final answer must be the great and
+      the most complete as possible, it must be outcome described.\n\nI MUST use these
+      formats, my job depends on it!"}, {"role": "user", "content": "Top 10 best players
+      in the world?"}, {"role": "assistant", "content": "Thought: I now can give a
+      great answer  \nFinal Answer: Here are the top 10 best soccer players in the
+      world as of October 2023, based on their performance, impact, and overall contributions
+      to the game:\n\n1. **Lionel Messi** (Inter Miami)\n   - Position: Forward\n   -
+      Country: Argentina\n   - Highlights: Messi continues to showcase his exceptional
+      dribbling, vision, and playmaking ability, leading Argentina to victory in the
+      2022 FIFA World Cup and significantly contributing to his club''s successes.\n\n2.
+      **Kylian Mbapp\u00e9** (Paris Saint-Germain)\n   - Position: Forward\n   - Country:
+      France\n   - Highlights: Known for his blistering speed and clinical finishing,
+      Mbapp\u00e9 is a key player for both PSG and the French national team, known
+      for his performances in Ligue 1 and international tournaments.\n\n3. **Erling
+      Haaland** (Manchester City)\n   - Position: Forward\n   - Country: Norway\n   -
+      Highlights: Haaland''s goal-scoring prowess and strength have made him one of
+      the most feared strikers in Europe, helping Manchester City secure several titles
+      including the UEFA Champions League.\n\n4. **Kevin De Bruyne** (Manchester City)\n   -
+      Position: Midfielder\n   - Country: Belgium\n   - Highlights: De Bruyne\u2019s
+      exceptional passing, control, and vision make him one of the best playmakers
+      in the world, instrumental in Manchester City\u2019s dominance in domestic and
+      European competitions.\n\n5. **Cristiano Ronaldo** (Al Nassr)\n   - Position:
+      Forward\n   - Country: Portugal\n   - Highlights: Despite moving to the Saudi
+      Pro League, Ronaldo''s extraordinary talent and goal-scoring ability keep him
+      in the conversation among the best, having had a legendary career across multiple
+      leagues.\n\n6. **Neymar Jr.** (Al Hilal)\n   - Position: Forward\n   - Country:
+      Brazil\n   - Highlights: Neymar''s agility, creativity, and skill have kept
+      him as a top performer in soccer, now showcasing his talents in the Saudi Pro
+      League while maintaining a strong national team presence.\n\n7. **Robert Lewandowski**
+      (Barcelona)\n   - Position: Forward\n   - Country: Poland\n   - Highlights:
+      The prolific striker continues to score consistently in La Liga, known for his
+      finishing, positioning, and aerial ability, contributing to Barcelona\u2019s
+      successes.\n\n8. **Karim Benzema** (Al Ittihad)\n   - Position: Forward\n   -
+      Country: France\n   - Highlights: The former Real Madrid star remains a top
+      talent, displaying leadership and technical skills, now continuing his career
+      in the Saudi Pro League.\n\n9. **Luka Modri\u0107** (Real Madrid)\n   - Position:
+      Midfielder\n   - Country: Croatia\n   - Highlights: A master of midfield control
+      and passing, Modri\u0107 remains an influential figure at Real Madrid, showcasing
+      his experience and football intelligence.\n\n10. **Mohamed Salah** (Liverpool)\n    -
+      Position: Forward\n    - Country: Egypt\n    - Highlights: Salah''s explosive
+      pace and goal-scoring ability keep him as a central figure for Liverpool in
+      the Premier League and European competitions, maintaining his status as one
+      of the elite forwards.\n\nThese players have demonstrated exceptional skill,
+      consistency, and impact in their respective teams and leagues, solidifying their
+      positions among the best in the world."}, {"role": "user", "content": "The task
+      result does not comply with the guardrail as it includes players from various
+      countries and only mentions two Brazilian players (Neymar Jr. and Neymar) while
+      excluding Brazilian women players entirely. The guardrail specifically requests
+      to include only Brazilian players, both women and men, which is not fulfilled."}],
+      "model": "gpt-4o-mini", "stop": ["\nObservation:"]}'
+    headers:
+      accept:
+      - application/json
+      accept-encoding:
+      - gzip, deflate, zstd
+      connection:
+      - keep-alive
+      content-length:
+      - '4338'
+      content-type:
+      - application/json
+      cookie:
+      - __cf_bm=UscrLNUFPQp17ivpT2nYqbIb8GsK9e0GpWC7sIKWwnU-1749566007-1.0.1.1-fCm5jdN02Agxc9.Ep4aAnKukyBp9S3iOLK9NY51NLG1zib3MnfjyCm5HhsWtUvr2lIjQpD_EWosVk4JuLbGxrKYZBa4WTendGsY9lCU9naU;
+        _cfuvid=CGbpwQsAGlm5OcWs4NP0JuyqJh.mIqHyUZjIdKm8_.I-1749566007688-0.0.1.1-604800000
+      host:
+      - api.openai.com
+      user-agent:
+      - OpenAI/Python 1.78.0
+      x-stainless-arch:
+      - arm64
+      x-stainless-async:
+      - 'false'
+      x-stainless-lang:
+      - python
+      x-stainless-os:
+      - MacOS
+      x-stainless-package-version:
+      - 1.78.0
+      x-stainless-raw-response:
+      - 'true'
+      x-stainless-read-timeout:
+      - '600.0'
+      x-stainless-retry-count:
+      - '0'
+      x-stainless-runtime:
+      - CPython
+      x-stainless-runtime-version:
+      - 3.12.9
+    method: POST
+    uri: https://api.openai.com/v1/chat/completions
+  response:
+    body:
+      string: !!binary |
+        H4sIAAAAAAAAAwAAAP//lFfNbhxHDr7rKYi5BDBagiTLsj032QvHceC1ExubIOtAYFdzuhlVs3pZ
+        1TMeBwb2Nfa857xArnqTfZIFq2e6R9J417oImmYVfz5+JIu/HwDMuJrNYeYaTK7t/OGzuv8+vPuu
+        O/2H+9k//vnF8flP4Zcf6uclPj35dlbYjVD+Ri5tbx250HaeEgcZxE4JE5nWk8dnTx+dnx+fnmdB
+        Gyrydq3u0uFZOGxZ+PD0+PTs8Pjx4cmTze0msKM4m8PfDwAAfs9/zU+p6ONsDsfF9ktLMWJNs/l4
+        CGCmwduXGcbIMaGkWTEJXZBEkl1/34S+btIcvgMJK3AoUPOSAKE2/wElrkgBPsgLFvRwkX/P4SUp
+        ASpBaghS6ODkGEqKCWJwjhQ6j2vSCCz5xCqorwpYBNdHlhroo/N95CX5NQSBZ4qf2DPK9l4BZUgN
+        rEJLAigVtCQFlBipsvOpIVboSBdBWxRH+Qy3Hbq0NVljS4ARwgLeuBRKUjg9Pn04/yAf5OQIHjz4
+        K61bVHilRw8eWIAAcAhvQ2TL4RxeBF2hVqPkue/LOVx4eMke/fj5JdeN57pJcQ5vhMycWW+DYXHF
+        3lMFi0FVhNqHEr1fF7Axbplg6SlCClDhp0+eYMWpgYYjVMpl6VnqIsPS4lX+30KtA/rD6IIamFiy
+        57QuoMFl/g2Ra+EFO5S0RSXIAKkpdr4vsxrzdMJe0CJHD4mwPTKcTg2nv7Fc/+G4j/Dq+k/hoPeA
+        60dCD6+xUq72IjbpbjACtaQ1VZY1hCtab9hg+O1qKkBCGmDN4cSOqCogkWuEHfoB9zgg5bR3jD4j
+        lunIbRfUKgJaTK6hWEBswsphJqbpS+hJJsRGtFgS6QiSpyX5mGF6aDD9yK5B9RyD3AOg9yElkgZb
+        eBlS7HrdC9P3ElYyxrskjZhyzrNfSGoRjjTY8STDWpILVguw5IQeWmqtGDZEvZH0rM6umMRht1Fp
+        5HQNSk1TZY0s7XBTfrfomJE5M2Reoya8ByZv1KNUAd4qV7QXjwtI2hN4qkkqiyQ3im/ipvsUkE3m
+        SFwQ64Akya+3iaYKGtKBJgV4woo0Ntztqa1Ow4piLIBQxT5I35KGPgIOJZ0T4FzwWFkVN2r9NPQp
+        WxgcRF2DQyXSjMkjw+RCKrW+DRd+SXEvOK+5WjD5ivR2UYUWvwBLx8tgOd4UDssdZEbDBk7FMZ8c
+        8KCPjroNG4YSGpoEupTLyiImoRiHumAZSsM05IPGz//XUc5z8B4F4R1KCvtD/wstSO4G/ozEmtr+
+        2LNOjqDkQi38adsgSKEydTZttukcsrZD7iBJueyTzbIcA6aE7qoAiglLz7HJzYE0kl/s7U9DcyW9
+        2VzvAvDYAPgWS2Xy8IpiH+8zfTSSfGH4/GQFibDwyINHYz1arPkZkMfHDdsGGApQjCTJmkiHmva2
+        hgKubjShVdArUEw0tkbvuSabxcOAhkzeHPMTi/k9Xv8R4ULx+s/fwv0I/+763wHeYu/DF2ivnJt3
+        TJg5PxHwNvsHJ4z6NbJQtWWLOTDSJSYNVvrT8yIPjnbj3o15kdOei2UzbQgTL7ft72kOvGGsA7xj
+        v8T7sP15Qz7SF9guQB87UjbAq2xayTOWnsCRzanDMvM3W/3PP/8Vd9pcPj7VxFAHTIbLkqDFiqDh
+        FhBcUCGNKQhlcLYefc3T4eTYYn/GCL+gkGJKU9L/B9PH6N+ib4kV4yS4NQHylJ5eVwWYsZ15t8NX
+        0ptdfRxtFrVFM72vxsfD2BPyx+lB5XPH+Npyf2+14jkmaEbv81EWp1SxJWzz3sj8GY0GyU/XOy9j
+        Y+KWzTs8HF7E267tNGy79MB/072tBRvfsYDU9NYsO6Vc+1JvbH0TQdk124e8pxrd+mh3fVBa9BFt
+        hZHe+x0BioSUIciLy68byedxVfGh7jSU8dbV2YKFY3OphDGIrSUxhW6WpZ8PAH7NK1F/Y8uZdRra
+        Ll2mcEXZ3JMnJ4O+2bSJTdLz883CNEs2ICfByaOz7b0bGi8rSsg+7qxVM4euoWq6O+1g2FccdgQH
+        O3Hf9Wef7iF2lvpr1E8CZyObqsvOyORuxjwdU7JV9UvHRpyzw7NIumRHl4lJLRcVLbD3wwI5i+uY
+        qL1csNSknfKwRS66y4dn+OgM6elDNzv4fPBfAAAA//8DAGsE37hTDwAA
+    headers:
+      CF-RAY:
+      - 94d995f0ca0cf1fe-GRU
+      Connection:
+      - keep-alive
+      Content-Encoding:
+      - gzip
+      Content-Type:
+      - application/json
+      Date:
+      - Tue, 10 Jun 2025 14:34:22 GMT
+      Server:
+      - cloudflare
+      Transfer-Encoding:
+      - chunked
+      X-Content-Type-Options:
+      - nosniff
+      access-control-expose-headers:
+      - X-Request-ID
+      alt-svc:
+      - h3=":443"; ma=86400
+      cf-cache-status:
+      - DYNAMIC
+      openai-organization:
+      - crewai-iuxna1
+      openai-processing-ms:
+      - '35941'
+      openai-version:
+      - '2020-10-01'
+      strict-transport-security:
+      - max-age=31536000; includeSubDomains; preload
+      x-envoy-upstream-service-time:
+      - '35946'
+      x-ratelimit-limit-requests:
+      - '30000'
+      x-ratelimit-limit-tokens:
+      - '150000000'
+      x-ratelimit-remaining-requests:
+      - '29999'
+      x-ratelimit-remaining-tokens:
+      - '149998983'
+      x-ratelimit-reset-requests:
+      - 2ms
+      x-ratelimit-reset-tokens:
+      - 0s
+      x-request-id:
+      - req_c874fed664f962f5ee90decb8ebad875
+    status:
+      code: 200
+      message: OK
+- request:
+    body: '{"messages": [{"role": "system", "content": "You are Guardrail Agent. You
+      are a expert at validating the output of a task. By providing effective feedback
+      if the output is not valid.\nYour personal goal is: Validate the output of the
+      task\n\nTo give my best complete final answer to the task respond using the
+      exact following format:\n\nThought: I now can give a great answer\nFinal Answer:
+      Your final answer must be the great and the most complete as possible, it must
+      be outcome described.\n\nI MUST use these formats, my job depends on it!\nIMPORTANT:
+      Your final answer MUST contain all the information requested in the following
+      format: {\n  \"valid\": bool,\n  \"feedback\": str | None\n}\n\nIMPORTANT: Ensure
+      the final output does not include any code block markers like ```json or ```python."},
+      {"role": "user", "content": "\n        Ensure the following task result complies
+      with the given guardrail.\n\n        Task result:\n        Here are the top
+      10 best soccer players in the world, focusing exclusively on Brazilian players,
+      both women and men, based on their performance and impact in the game as of
+      October 2023:\n\n1. **Neymar Jr.**  \n   - Position: Forward  \n   - Club: Al
+      Hilal  \n   - Highlights: One of the most skilled forwards globally, Neymar
+      continues to dazzle with his dribbling, playmaking, and goal-scoring ability,
+      having a significant impact on both his club and the Brazilian national team.\n\n2.
+      **Vin\u00edcius J\u00fanior**  \n   - Position: Forward  \n   - Club: Real Madrid  \n   -
+      Highlights: Vin\u00edcius has emerged as a key player for Real Madrid, noted
+      for his speed, technical skills, and crucial goals in important matches, showcasing
+      his talent on both club and international levels.\n\n3. **Richarlison**  \n   -
+      Position: Forward  \n   - Club: Tottenham Hotspur  \n   - Highlights: Known
+      for his versatility and aerial ability, Richarlison has become a vital member
+      of the national team and has the capability to change the game with his pace
+      and scoring ability.\n\n4. **Marta**  \n   - Position: Forward  \n   - Club:
+      Orlando Pride  \n   - Highlights: A true legend of women''s soccer, Marta has
+      consistently showcased her skill, leadership, and goal-scoring prowess, earning
+      numerous awards and accolades throughout her legendary career.\n\n5. **Andressa
+      Alves**  \n   - Position: Midfielder  \n   - Club: Roma  \n   - Highlights:
+      A pivotal player in women''s soccer, Andressa has displayed her exceptional
+      skills and tactical awareness both in club play and for the Brazilian national
+      team.\n\n6. **Alana Santos**  \n   - Position: Defender  \n   - Club: Benfica  \n   -
+      Highlights: Alana is recognized for her defensive prowess and ability to contribute
+      to the attack, establishing herself as a key player for both her club and the
+      national team.\n\n7. **Gabriel Jesus**  \n   - Position: Forward  \n   - Club:
+      Arsenal  \n   - Highlights: With a flair for scoring and assisting, Gabriel
+      Jesus is an essential part of the national team, known for his work rate and
+      intelligence on the field.\n\n8. **Ta\u00eds Ara\u00fajo**  \n   - Position:
+      Midfielder  \n   - Club: S\u00e3o Paulo  \n   - Highlights: A rising star in
+      Brazilian women''s soccer, Ta\u00eds has gained recognition for her strong performances
+      in midfield, showcasing both skill and creativity.\n\n9. **Thiago Silva**  \n   -
+      Position: Defender  \n   - Club: Chelsea  \n   - Highlights: An experienced
+      and reliable center-back, Silva\u2019s leadership and defensive abilities have
+      made him a cornerstone for Chelsea and the Brazilian national team.\n\n10. **Bia
+      Zaneratto**  \n    - Position: Forward  \n    - Club: Palmeiras  \n    - Highlights:
+      A talented forward, Bia has become known for her goal-scoring capabilities and
+      playmaking skills, contributing significantly to both her club and the national
+      team.\n\nThis list highlights the incredible talent and contributions of Brazilian
+      players in soccer, showcasing their skills across both men''s and women''s games,
+      thus representing Brazil''s rich soccer legacy.\n\n        Guardrail:\n        Only
+      include Brazilian players, both women and men\n        \n        Your task:\n        -
+      Confirm if the Task result complies with the guardrail.\n        - If not, provide
+      clear feedback explaining what is wrong (e.g., by how much it violates the rule,
+      or what specific part fails).\n        - Focus only on identifying issues \u2014
+      do not propose corrections.\n        - If the Task result complies with the
+      guardrail, saying that is valid\n        "}], "model": "gpt-4o-mini", "stop":
+      ["\nObservation:"]}'
+    headers:
+      accept:
+      - application/json
+      accept-encoding:
+      - gzip, deflate, zstd
+      connection:
+      - keep-alive
+      content-length:
+      - '4571'
+      content-type:
+      - application/json
+      cookie:
+      - __cf_bm=UscrLNUFPQp17ivpT2nYqbIb8GsK9e0GpWC7sIKWwnU-1749566007-1.0.1.1-fCm5jdN02Agxc9.Ep4aAnKukyBp9S3iOLK9NY51NLG1zib3MnfjyCm5HhsWtUvr2lIjQpD_EWosVk4JuLbGxrKYZBa4WTendGsY9lCU9naU;
+        _cfuvid=CGbpwQsAGlm5OcWs4NP0JuyqJh.mIqHyUZjIdKm8_.I-1749566007688-0.0.1.1-604800000
+      host:
+      - api.openai.com
+      user-agent:
+      - OpenAI/Python 1.78.0
+      x-stainless-arch:
+      - arm64
+      x-stainless-async:
+      - 'false'
+      x-stainless-lang:
+      - python
+      x-stainless-os:
+      - MacOS
+      x-stainless-package-version:
+      - 1.78.0
+      x-stainless-raw-response:
+      - 'true'
+      x-stainless-read-timeout:
+      - '600.0'
+      x-stainless-retry-count:
+      - '0'
+      x-stainless-runtime:
+      - CPython
+      x-stainless-runtime-version:
+      - 3.12.9
+    method: POST
+    uri: https://api.openai.com/v1/chat/completions
+  response:
+    body:
+      string: !!binary |
+        H4sIAAAAAAAAA4ySTW/bMAyG7/4VhM72kLj5WHxrDwEKtNilGDYshcFItK1WlgRJTjYE+e+D7DR2
+        tw7YxYD58KX4kjwlAEwKVgDjDQbeWpXd1d3Dl+5Yfb3dPD6K7bri26cw899f5vruG0ujwuxfiIc3
+        1SduWqsoSKMHzB1hoFh1vl5slqvVbJX3oDWCVJTVNmQLk7VSyyyf5Ytsts7mny/qxkhOnhXwIwEA
+        OPXf2KcW9JMVMEvfIi15jzWx4poEwJxRMcLQe+kD6sDSEXKjA+m+9afGdHUTCrgHbY7AUUMtDwQI
+        dewfUPsjOYCd3kqNCm77/wJOOw2wYwdUUuxYAcF1lA6xikjskb/GsO6U2unz9HFHVedRXeAEoNYm
+        YBxgb/v5Qs5Xo8rU1pm9/0PKKqmlb0pH6I2OpnwwlvX0nAA89wPt3s2IWWdaG8pgXql/bpMvh3ps
+        3ONI8/UFBhNQTVTLPP2gXikooFR+shLGkTckRum4P+yENBOQTFz/3c1HtQfnUtf/U34EnJMNJErr
+        SEj+3vGY5iie+b/SrlPuG2ae3EFyKoMkFzchqMJODcfH/C8fqC0rqWty1snhAitb3ixwuUDa3HCW
+        nJPfAAAA//8DAOHOvQuPAwAA
+    headers:
+      CF-RAY:
+      - 94d996d2b877f1fe-GRU
+      Connection:
+      - keep-alive
+      Content-Encoding:
+      - gzip
+      Content-Type:
+      - application/json
+      Date:
+      - Tue, 10 Jun 2025 14:34:38 GMT
+      Server:
+      - cloudflare
+      Transfer-Encoding:
+      - chunked
+      X-Content-Type-Options:
+      - nosniff
+      access-control-expose-headers:
+      - X-Request-ID
+      alt-svc:
+      - h3=":443"; ma=86400
+      cf-cache-status:
+      - DYNAMIC
+      openai-organization:
+      - crewai-iuxna1
+      openai-processing-ms:
+      - '15341'
+      openai-version:
+      - '2020-10-01'
+      strict-transport-security:
+      - max-age=31536000; includeSubDomains; preload
+      x-envoy-upstream-service-time:
+      - '15343'
+      x-ratelimit-limit-requests:
+      - '30000'
+      x-ratelimit-limit-tokens:
+      - '150000000'
+      x-ratelimit-remaining-requests:
+      - '29999'
+      x-ratelimit-remaining-tokens:
+      - '149998917'
+      x-ratelimit-reset-requests:
+      - 2ms
+      x-ratelimit-reset-tokens:
+      - 0s
+      x-request-id:
+      - req_22419b91d42cf1e03278a29f3093ed3d
+    status:
+      code: 200
+      message: OK
+version: 1

tests/cassettes/test_guardrail_reached_attempt_limit.yaml

@@ -0,0 +1,726 @@
+interactions:
+- request:
+    body: '{"messages": [{"role": "system", "content": "You are Sports Analyst. You
+      are an expert at gathering and organizing information. You carefully collect
+      details and present them in a structured way.\nYour personal goal is: Gather
+      information about the best soccer players\n\nTo give my best complete final
+      answer to the task respond using the exact following format:\n\nThought: I now
+      can give a great answer\nFinal Answer: Your final answer must be the great and
+      the most complete as possible, it must be outcome described.\n\nI MUST use these
+      formats, my job depends on it!"}, {"role": "user", "content": "Top 10 best players
+      in the world?"}], "model": "gpt-4o-mini", "stop": ["\nObservation:"]}'
+    headers:
+      accept:
+      - application/json
+      accept-encoding:
+      - gzip, deflate, zstd
+      connection:
+      - keep-alive
+      content-length:
+      - '694'
+      content-type:
+      - application/json
+      host:
+      - api.openai.com
+      user-agent:
+      - OpenAI/Python 1.78.0
+      x-stainless-arch:
+      - arm64
+      x-stainless-async:
+      - 'false'
+      x-stainless-lang:
+      - python
+      x-stainless-os:
+      - MacOS
+      x-stainless-package-version:
+      - 1.78.0
+      x-stainless-raw-response:
+      - 'true'
+      x-stainless-read-timeout:
+      - '600.0'
+      x-stainless-retry-count:
+      - '0'
+      x-stainless-runtime:
+      - CPython
+      x-stainless-runtime-version:
+      - 3.12.9
+    method: POST
+    uri: https://api.openai.com/v1/chat/completions
+  response:
+    body:
+      string: !!binary |
+        H4sIAAAAAAAAA5yXzVIbORDH7zxF11xiqLHLNp/xDUhMssEJm49N1S4pqq1pz/SikYaWxo6Tynmf
+        ZQ/7AnvNPtiWZIMNGAK5UHhaLfVPrW799XUNIOEs6UGiCvSqrHTzIK9HH/yzi6Mv44uT3z93X5fn
+        Fxefs49bR3vya5IGDzv8k5S/9GopW1aaPFszMysh9BRm7exuPd3e2d1s70VDaTPSwS2vfHPLNks2
+        3Oy2u1vN9m6zszf3LiwrckkP/lgDAPga/4Y4TUafkx6008svJTmHOSW9q0EAiVgdviToHDuPxifp
+        wqis8WRi6O8LW+eF78FLMHYCCg3kPCZAyEP8gMZNSABOTZ8NatiPv3vwviDwtoJOG4bkPDirFAlU
+        GqckDtiALwgmVnSWAjqwI3ijvB2SQLfd3UzjSkMCzsh4HjFlMERHGdjoyQJCioyHimRkpUSjyKXg
+        zllrlwKXFSofBudYBgOaDOyYBLWGgCc8rEMuHHg7n9ATlq4FL0gI2MX4nJda+VooA83O907Nqem0
+        YGPjmK0hDQNyjqHx0ngSGDCWDIf99Y2NUwMATTixjsMiPehbmaBk8++vaAr7fhYDuR48Ex4ONZs8
+        hTE7tiaF3KJuOmWFTQ44ZM1+2pq776uCaUwlGe96MKi150oTHKDW1kD25I3AhI0hSeHQVgj7JQkr
+        BFVgWcXZP4Z9h8O6uvoGjW67211vBcJuIHw11YwGBkOsqu9/Q+MEhR28Qza+eURSIpvHg76riLIU
+        PKnC8EVNKYzYsCvY5Kvh+i/7+3dE29lbT+GY85qgA569DmkuLzcjsyU5zwpUXblItRmonkvYZniB
+        qMOJaAzQqIJcSN8h++njiU7sJOyzm4Fdyxob59kov5rsoDYZOc05xjoJTmGiD8/7+3A4x3RwTBgA
+        Z+mMOdpcT+FEqGSSS+sMPkJuxdTRmA08IziQemroQZQDzkZMOiO5CzR0iuUTGvsXj398LldGm0Lg
+        rCv3IOTIth3ZULiEAzJfqERo7OvmS++5wOzxqTtaSlYaO1OJ5/F/j8qzQg1sPGnNORlFqylD1ays
+        vKuTeJPMwYR9AW8JNQwwE84i3U6ge03TEgV+kVZAgxesUT8erK+RJYVs0VUenKurstHXk3UrPVIH
+        zGZdxeB3Q/BvQ/f2cEwTNJmduHOGRv8QDlAUaWvwJ0Aum0MK1dwl/kASRn1/W4yd4yBcPQMyTxyc
+        xJtnKS/LBTinPMbQUPB6U5yfvr2AOLAFlpTBO9RYQOOYxySVtfqnO+FoQXiVrtU8N6po0ctndXR/
+        GUWCp4HgNzbf/1FcO/jl+7+GrUBj6ST+NMcjztoPy727fn8mOu14A9fnCAObCf/310qG+9rbQ/rb
+        PU3g7vq5xXV5tG63iPkdFpHeF+yiwgjCIwhF1rcFj6pFguIJcieFCt1N8RNutDu0jZCrSPmg3KLM
+        CQJsaH2xKPjgHEjFYPBFHeMgHzfQteb1A4Im9EgX9dkYZbqIsiJx0dFWbELOwpRhWR6Fe1jYh7KF
+        OgwfWQEao67jYikMax8idXSlEAscU6AJ8pSM11MYEhkQylEyyoJmdLakIByDUosic1lVrhCVrWWN
+        KzSqHQadbWqtlwxojPUxrKiuP80t3670tLZ5JXbobrgms1o+E0JnTdDOztsqidZvawCfom6vr0nx
+        pBJbVv7M23OKy3W63dl8yeK5sLDubG3Ord561AvD7s52umLCs4w8snZL0j9RqArKFq6LdwLWGdsl
+        w9oS9u1wVs09Q2eTP2T6hUEpqjxlZ5VQxuo68mKYUHhO3TXsaptjwIkjGbOiM88kIRUZjbDWs0dO
+        4qbOU3k2YpOTVMKzl86oOtvcwu0tpKebKln7tvY/AAAA//8DAJ67Vp33DQAA
+    headers:
+      CF-RAY:
+      - 94d9b5400dcd624b-GRU
+      Connection:
+      - keep-alive
+      Content-Encoding:
+      - gzip
+      Content-Type:
+      - application/json
+      Date:
+      - Tue, 10 Jun 2025 14:55:42 GMT
+      Server:
+      - cloudflare
+      Set-Cookie:
+      - __cf_bm=8Yv8F0ZCFAo2lf.qoqxao70yxyjVvIV90zQqVF6bVzQ-1749567342-1.0.1.1-fZgnv3RDfunvCO1koxwwFJrHnxSx_rwS_FHvQ6xxDPpKHwYr7dTqIQLZrNgSX5twGyK4F22rUmkuiS6KMVogcinChk8lmHtJBTUVTFjr2KU;
+        path=/; expires=Tue, 10-Jun-25 15:25:42 GMT; domain=.api.openai.com; HttpOnly;
+        Secure; SameSite=None
+      - _cfuvid=wzh8YnmXvLq1G0RcIVijtzboQtCZyIe2uZiochkBLqE-1749567342267-0.0.1.1-604800000;
+        path=/; domain=.api.openai.com; HttpOnly; Secure; SameSite=None
+      Transfer-Encoding:
+      - chunked
+      X-Content-Type-Options:
+      - nosniff
+      access-control-expose-headers:
+      - X-Request-ID
+      alt-svc:
+      - h3=":443"; ma=86400
+      cf-cache-status:
+      - DYNAMIC
+      openai-organization:
+      - crewai-iuxna1
+      openai-processing-ms:
+      - '33288'
+      openai-version:
+      - '2020-10-01'
+      strict-transport-security:
+      - max-age=31536000; includeSubDomains; preload
+      x-envoy-upstream-service-time:
+      - '33292'
+      x-ratelimit-limit-requests:
+      - '30000'
+      x-ratelimit-limit-tokens:
+      - '150000000'
+      x-ratelimit-remaining-requests:
+      - '29999'
+      x-ratelimit-remaining-tokens:
+      - '149999859'
+      x-ratelimit-reset-requests:
+      - 2ms
+      x-ratelimit-reset-tokens:
+      - 0s
+      x-request-id:
+      - req_6a587ea22edef774ecdada790a320cab
+    status:
+      code: 200
+      message: OK
+- request:
+    body: '{"messages": [{"role": "system", "content": "You are Sports Analyst. You
+      are an expert at gathering and organizing information. You carefully collect
+      details and present them in a structured way.\nYour personal goal is: Gather
+      information about the best soccer players\n\nTo give my best complete final
+      answer to the task respond using the exact following format:\n\nThought: I now
+      can give a great answer\nFinal Answer: Your final answer must be the great and
+      the most complete as possible, it must be outcome described.\n\nI MUST use these
+      formats, my job depends on it!"}, {"role": "user", "content": "Top 10 best players
+      in the world?"}, {"role": "assistant", "content": "Thought: I now can give a
+      great answer  \nFinal Answer: The top 10 best soccer players in the world, as
+      of October 2023, can be identified based on their recent performances, skills,
+      impact on games, and overall contributions to their teams. Here is the structured
+      list:\n\n1. **Lionel Messi (Inter Miami CF)**\n   - Position: Forward\n   -
+      Key Attributes: Dribbling, vision, goal-scoring ability.\n   - Achievements:
+      Multiple Ballon d''Or winner, Copa America champion, World Cup champion (2022).\n\n2.
+      **Kylian Mbapp\u00e9 (Paris Saint-Germain)**\n   - Position: Forward\n   - Key
+      Attributes: Speed, technique, finishing.\n   - Achievements: FIFA World Cup
+      champion (2018), Ligue 1 titles, multiple domestic cups.\n\n3. **Erling Haaland
+      (Manchester City)**\n   - Position: Forward\n   - Key Attributes: Power, speed,
+      goal-scoring instinct.\n   - Achievements: Bundesliga top scorer, UEFA Champions
+      League winner (2023), Premier League titles.\n\n4. **Kevin De Bruyne (Manchester
+      City)**\n   - Position: Midfielder\n   - Key Attributes: Passing, vision, creativity.\n   -
+      Achievements: Multiple Premier League titles, FA Cups, UEFA Champions League
+      winner (2023).\n\n5. **Karim Benzema (Al-Ittihad)**\n   - Position: Forward\n   -
+      Key Attributes: Goal-scoring, playmaking, tactical intelligence.\n   - Achievements:
+      2022 Ballon d''Or winner, multiple Champions Leagues with Real Madrid.\n\n6.
+      **Neymar Jr. (Al Hilal)**\n   - Position: Forward\n   - Key Attributes: Flair,
+      dribbling, creativity.\n   - Achievements: Multiple domestic league titles,
+      Champions League runner-up.\n\n7. **Robert Lewandowski (FC Barcelona)**\n   -
+      Position: Forward\n   - Key Attributes: Finishing, positioning, aerial ability.\n   -
+      Achievements: FIFA Best Men''s Player, multiple Bundesliga titles, La Liga champion
+      (2023).\n\n8. **Mohamed Salah (Liverpool)**\n   - Position: Forward\n   - Key
+      Attributes: Speed, finishing, dribbling.\n   - Achievements: Premier League
+      champion, FA Cup, UEFA Champions League winner.\n\n9. **Vin\u00edcius J\u00fanior
+      (Real Madrid)**\n   - Position: Forward\n   - Key Attributes: Speed, dribbling,
+      creativity.\n   - Achievements: UEFA Champions League winner (2022), La Liga
+      champion (2023).\n\n10. **Luka Modri\u0107 (Real Madrid)**\n    - Position:
+      Midfielder\n    - Key Attributes: Passing, vision, tactical intelligence.\n    -
+      Achievements: Multiple Champions League titles, Ballon d''Or winner (2018).\n\nThis
+      list is compiled based on their current form, past performances, and contributions
+      to their respective teams in both domestic and international competitions. Player
+      rankings can vary based on personal opinion and specific criteria used for evaluation,
+      but these players have consistently been regarded as some of the best in the
+      world as of October 2023."}, {"role": "user", "content": "You are not allowed
+      to include Brazilian players"}], "model": "gpt-4o-mini", "stop": ["\nObservation:"]}'
+    headers:
+      accept:
+      - application/json
+      accept-encoding:
+      - gzip, deflate, zstd
+      connection:
+      - keep-alive
+      content-length:
+      - '3594'
+      content-type:
+      - application/json
+      cookie:
+      - __cf_bm=8Yv8F0ZCFAo2lf.qoqxao70yxyjVvIV90zQqVF6bVzQ-1749567342-1.0.1.1-fZgnv3RDfunvCO1koxwwFJrHnxSx_rwS_FHvQ6xxDPpKHwYr7dTqIQLZrNgSX5twGyK4F22rUmkuiS6KMVogcinChk8lmHtJBTUVTFjr2KU;
+        _cfuvid=wzh8YnmXvLq1G0RcIVijtzboQtCZyIe2uZiochkBLqE-1749567342267-0.0.1.1-604800000
+      host:
+      - api.openai.com
+      user-agent:
+      - OpenAI/Python 1.78.0
+      x-stainless-arch:
+      - arm64
+      x-stainless-async:
+      - 'false'
+      x-stainless-lang:
+      - python
+      x-stainless-os:
+      - MacOS
+      x-stainless-package-version:
+      - 1.78.0
+      x-stainless-raw-response:
+      - 'true'
+      x-stainless-read-timeout:
+      - '600.0'
+      x-stainless-retry-count:
+      - '0'
+      x-stainless-runtime:
+      - CPython
+      x-stainless-runtime-version:
+      - 3.12.9
+    method: POST
+    uri: https://api.openai.com/v1/chat/completions
+  response:
+    body:
+      string: !!binary |
+        H4sIAAAAAAAAAwAAAP//nJfNctpIEMfvfoouXYJdwgXYjm1u4JjEsam4kuzuYZ1yNaNG6njUo50Z
+        QUgq5zzLHvYF9pp9sK0ZwOAEx3EuFKjVTf+mP/TXpy2AhLOkC4kq0Kuy0s1+Xucvb06e+X7ndDzp
+        DflscN6yRBfng75O0uBhRu9J+aXXrjJlpcmzkblZWUJPIWr7cP/44Onh3sFxNJQmIx3c8so3902z
+        ZOFmp9XZb7YOm+2jhXdhWJFLuvDnFgDAp/gZ8pSMPiRdaKXLKyU5hzkl3dubABJrdLiSoHPsPIpP
+        0pVRGfEkMfW3hanzwnfhDMRMQaFAzhMChDzkDyhuShbgSgYsqKEXf3fhBVkCdoACdZUFUNDsPJgx
+        +ILAmwraLRiR8+CMUmSh0jgj64Al3jE1VmeALni8Ut6MyEKn1dlLgT4oXWcsOfQtfmTNKEvn7pVc
+        SXsXdnYu2AhpGJJzDI0z8WRhyFgynAy2d3auBACacGkch4p0YWDsFG22uH5OM+h5b3lUe3JdeGZ5
+        NNIseQoTdmwkhdygbjplbEgER6zZz3YX7j1VME2oJPGuC8Nae640QR+1NgLZk1cWpixCNoUTUyH0
+        SrKsEFSBZRWj/xHpT+rq9ho0Oq1OZ3s3EHYC4fkskg9HWFVf/4bGJVp28AZZfPM52RJZHg/6piLK
+        UvCkCuG/akphzMKuYMk3ww3OBr17sm0fbadwwXlN0AbPXpNLoVweRmZKcp4VqLpykWovUJ3acMzw
+        AlGjZNAYoqiCXCjfCfvZ44kuzTScs5uD3akai/Msym8m69eSkdOcY+zW4BQC/XY66MHJAtPBBWEA
+        nJcz1mhvO4VLSyWTXVrn8BFyP5aOJizwjKBv65nQT1EOORsz6YzsfaBhlNc7NC4YnjzclxuzTSFw
+        1pX7KeTIdhDZ0HIJfZKPVCI0erp55j0XmD2+dM/XipXGES/xJn73qDwr1MDiSWvOSRRtpgxTs3Hy
+        bjvxWzIHU/YFvCbUMMTMchbpnga612EPebigKUpmpu6GoTE4gT5aRdoIPh5ysJyvFKqFS/yBZBn1
+        jzdLHL5+2KFDkicOLuMWXENb7+FFVS8wzCTe3SuLAh4GxKEpsKQM3qDGAhoXPCFbGaN/eZmMV4TZ
+        co9u5vmmEVfrcN6KP+7ESHAUCH5n+fqP4trBy6//ChsLjbVi/jJHtnoIPDRaD05MZ/vHlTiOz7D6
+        BmFoMsv/fXkQ4fH74RFDNLxvVm7b6vsJWzwCIk67FXheoLUzOMew8fqhUwWGtbAqljz31uTB5bD2
+        wFrtid2l712Y50ZnJNA3xt8ug3tWYKzjaW1NRSgr+IIrsHXwbNZVBHxbsJsLnAIdjIgEMHtfu6B7
+        vFlIFvpesEB4yI2Nqh05MEH5GEcwLQwUOCEoMSNwnAuPWaF44LJC5ZciiS0oXY/mUcxcN4ViWsFw
+        hqjBecxpg4rahVNUxSKLoNMsKZMLf6SQjl0Epw+KqmWkG9bapVCRHRtboqhwQOGPce10d9dlpKVx
+        7TBIWam1XjOgiPExxShg3y0sn28lqzZ5Zc3IfeOazFfJtSV0RoI8dd5USbR+3gJ4F6VxfUftJpU1
+        ZeWvvbmh+HeHR+15vGSlyFfWp+2FcE688ahXhvbe8dLvTsTrjDyydmvyOlGoCspWvistjnXGZs2w
+        tcb9fT6bYs/ZWfKfCb8yqFBJyq4rSxmru8yr2yyFV5b7brs955hw4shOWNG1Z7KhFhmNsdbzF4nE
+        zZyn8nrMkpOtLM/fJsbV9d4+HuwjHe+pZOvz1v8AAAD//wMAVoKTVVsNAAA=
+    headers:
+      CF-RAY:
+      - 94d9b6782db84d3b-GRU
+      Connection:
+      - keep-alive
+      Content-Encoding:
+      - gzip
+      Content-Type:
+      - application/json
+      Date:
+      - Tue, 10 Jun 2025 14:56:30 GMT
+      Server:
+      - cloudflare
+      Transfer-Encoding:
+      - chunked
+      X-Content-Type-Options:
+      - nosniff
+      access-control-expose-headers:
+      - X-Request-ID
+      alt-svc:
+      - h3=":443"; ma=86400
+      cf-cache-status:
+      - DYNAMIC
+      openai-organization:
+      - crewai-iuxna1
+      openai-processing-ms:
+      - '31484'
+      openai-version:
+      - '2020-10-01'
+      strict-transport-security:
+      - max-age=31536000; includeSubDomains; preload
+      x-envoy-upstream-service-time:
+      - '31490'
+      x-ratelimit-limit-requests:
+      - '30000'
+      x-ratelimit-limit-tokens:
+      - '150000000'
+      x-ratelimit-remaining-requests:
+      - '29999'
+      x-ratelimit-remaining-tokens:
+      - '149999166'
+      x-ratelimit-reset-requests:
+      - 2ms
+      x-ratelimit-reset-tokens:
+      - 0s
+      x-request-id:
+      - req_aa737cf40bb76af9f458bfd35f7a77a1
+    status:
+      code: 200
+      message: OK
+- request:
+    body: '{"messages": [{"role": "system", "content": "You are Sports Analyst. You
+      are an expert at gathering and organizing information. You carefully collect
+      details and present them in a structured way.\nYour personal goal is: Gather
+      information about the best soccer players\n\nTo give my best complete final
+      answer to the task respond using the exact following format:\n\nThought: I now
+      can give a great answer\nFinal Answer: Your final answer must be the great and
+      the most complete as possible, it must be outcome described.\n\nI MUST use these
+      formats, my job depends on it!"}, {"role": "user", "content": "Top 10 best players
+      in the world?"}, {"role": "assistant", "content": "Thought: I now can give a
+      great answer  \nFinal Answer: The top 10 best soccer players in the world, as
+      of October 2023, can be identified based on their recent performances, skills,
+      impact on games, and overall contributions to their teams. Here is the structured
+      list:\n\n1. **Lionel Messi (Inter Miami CF)**\n   - Position: Forward\n   -
+      Key Attributes: Dribbling, vision, goal-scoring ability.\n   - Achievements:
+      Multiple Ballon d''Or winner, Copa America champion, World Cup champion (2022).\n\n2.
+      **Kylian Mbapp\u00e9 (Paris Saint-Germain)**\n   - Position: Forward\n   - Key
+      Attributes: Speed, technique, finishing.\n   - Achievements: FIFA World Cup
+      champion (2018), Ligue 1 titles, multiple domestic cups.\n\n3. **Erling Haaland
+      (Manchester City)**\n   - Position: Forward\n   - Key Attributes: Power, speed,
+      goal-scoring instinct.\n   - Achievements: Bundesliga top scorer, UEFA Champions
+      League winner (2023), Premier League titles.\n\n4. **Kevin De Bruyne (Manchester
+      City)**\n   - Position: Midfielder\n   - Key Attributes: Passing, vision, creativity.\n   -
+      Achievements: Multiple Premier League titles, FA Cups, UEFA Champions League
+      winner (2023).\n\n5. **Karim Benzema (Al-Ittihad)**\n   - Position: Forward\n   -
+      Key Attributes: Goal-scoring, playmaking, tactical intelligence.\n   - Achievements:
+      2022 Ballon d''Or winner, multiple Champions Leagues with Real Madrid.\n\n6.
+      **Neymar Jr. (Al Hilal)**\n   - Position: Forward\n   - Key Attributes: Flair,
+      dribbling, creativity.\n   - Achievements: Multiple domestic league titles,
+      Champions League runner-up.\n\n7. **Robert Lewandowski (FC Barcelona)**\n   -
+      Position: Forward\n   - Key Attributes: Finishing, positioning, aerial ability.\n   -
+      Achievements: FIFA Best Men''s Player, multiple Bundesliga titles, La Liga champion
+      (2023).\n\n8. **Mohamed Salah (Liverpool)**\n   - Position: Forward\n   - Key
+      Attributes: Speed, finishing, dribbling.\n   - Achievements: Premier League
+      champion, FA Cup, UEFA Champions League winner.\n\n9. **Vin\u00edcius J\u00fanior
+      (Real Madrid)**\n   - Position: Forward\n   - Key Attributes: Speed, dribbling,
+      creativity.\n   - Achievements: UEFA Champions League winner (2022), La Liga
+      champion (2023).\n\n10. **Luka Modri\u0107 (Real Madrid)**\n    - Position:
+      Midfielder\n    - Key Attributes: Passing, vision, tactical intelligence.\n    -
+      Achievements: Multiple Champions League titles, Ballon d''Or winner (2018).\n\nThis
+      list is compiled based on their current form, past performances, and contributions
+      to their respective teams in both domestic and international competitions. Player
+      rankings can vary based on personal opinion and specific criteria used for evaluation,
+      but these players have consistently been regarded as some of the best in the
+      world as of October 2023."}, {"role": "user", "content": "You are not allowed
+      to include Brazilian players"}, {"role": "assistant", "content": "Thought: I
+      now can give a great answer  \nFinal Answer: Here is an updated list of the
+      top 10 best soccer players in the world as of October 2023, excluding Brazilian
+      players:\n\n1. **Lionel Messi (Inter Miami CF)**\n   - Position: Forward\n   -
+      Key Attributes: Dribbling, vision, goal-scoring ability.\n   - Achievements:
+      Multiple Ballon d''Or winner, Copa America champion, World Cup champion (2022).\n\n2.
+      **Kylian Mbapp\u00e9 (Paris Saint-Germain)**\n   - Position: Forward\n   - Key
+      Attributes: Speed, technique, finishing.\n   - Achievements: FIFA World Cup
+      champion (2018), Ligue 1 titles, multiple domestic cups.\n\n3. **Erling Haaland
+      (Manchester City)**\n   - Position: Forward\n   - Key Attributes: Power, speed,
+      goal-scoring instinct.\n   - Achievements: Bundesliga top scorer, UEFA Champions
+      League winner (2023), Premier League titles.\n\n4. **Kevin De Bruyne (Manchester
+      City)**\n   - Position: Midfielder\n   - Key Attributes: Passing, vision, creativity.\n   -
+      Achievements: Multiple Premier League titles, FA Cups, UEFA Champions League
+      winner (2023).\n\n5. **Karim Benzema (Al-Ittihad)**\n   - Position: Forward\n   -
+      Key Attributes: Goal-scoring, playmaking, tactical intelligence.\n   - Achievements:
+      2022 Ballon d''Or winner, multiple Champions Leagues with Real Madrid.\n\n6.
+      **Robert Lewandowski (FC Barcelona)**\n   - Position: Forward\n   - Key Attributes:
+      Finishing, positioning, aerial ability.\n   - Achievements: FIFA Best Men''s
+      Player, multiple Bundesliga titles, La Liga champion (2023).\n\n7. **Mohamed
+      Salah (Liverpool)**\n   - Position: Forward\n   - Key Attributes: Speed, finishing,
+      dribbling.\n   - Achievements: Premier League champion, FA Cup, UEFA Champions
+      League winner.\n\n8. **Vin\u00edcius J\u00fanior (Real Madrid)**\n   - Position:
+      Forward\n   - Key Attributes: Speed, dribbling, creativity.\n   - Achievements:
+      UEFA Champions League winner (2022), La Liga champion (2023).\n\n9. **Luka Modri\u0107
+      (Real Madrid)**\n   - Position: Midfielder\n   - Key Attributes: Passing, vision,
+      tactical intelligence.\n   - Achievements: Multiple Champions League titles,
+      Ballon d''Or winner (2018).\n\n10. **Harry Kane (Bayern Munich)**\n    - Position:
+      Forward\n    - Key Attributes: Goal-scoring, technique, playmaking.\n    - Achievements:
+      Golden Boot winner, Premier League titles, UEFA European Championship runner-up.\n\nThis
+      list has been adjusted to exclude Brazilian players and focuses on those who
+      have made significant impacts in their clubs and on the international stage
+      as of October 2023. Each player is recognized for their exceptional skills,
+      performances, and achievements."}, {"role": "user", "content": "You are not
+      allowed to include Brazilian players"}], "model": "gpt-4o-mini", "stop": ["\nObservation:"]}'
+    headers:
+      accept:
+      - application/json
+      accept-encoding:
+      - gzip, deflate, zstd
+      connection:
+      - keep-alive
+      content-length:
+      - '6337'
+      content-type:
+      - application/json
+      cookie:
+      - __cf_bm=8Yv8F0ZCFAo2lf.qoqxao70yxyjVvIV90zQqVF6bVzQ-1749567342-1.0.1.1-fZgnv3RDfunvCO1koxwwFJrHnxSx_rwS_FHvQ6xxDPpKHwYr7dTqIQLZrNgSX5twGyK4F22rUmkuiS6KMVogcinChk8lmHtJBTUVTFjr2KU;
+        _cfuvid=wzh8YnmXvLq1G0RcIVijtzboQtCZyIe2uZiochkBLqE-1749567342267-0.0.1.1-604800000
+      host:
+      - api.openai.com
+      user-agent:
+      - OpenAI/Python 1.78.0
+      x-stainless-arch:
+      - arm64
+      x-stainless-async:
+      - 'false'
+      x-stainless-lang:
+      - python
+      x-stainless-os:
+      - MacOS
+      x-stainless-package-version:
+      - 1.78.0
+      x-stainless-raw-response:
+      - 'true'
+      x-stainless-read-timeout:
+      - '600.0'
+      x-stainless-retry-count:
+      - '0'
+      x-stainless-runtime:
+      - CPython
+      x-stainless-runtime-version:
+      - 3.12.9
+    method: POST
+    uri: https://api.openai.com/v1/chat/completions
+  response:
+    body:
+      string: !!binary |
+        H4sIAAAAAAAAAwAAAP//rJfNbhs3EMfvforBXiIHK0OSv3WTHCsxYiFunKJo6sAYkaPdqbkkS3Il
+        K0HOfZY+R/tgBSnJkhPZtdteDC+HQ82P87H//bIFkLHMupCJEoOorGr2i7rwvWp2tt+qfzi4tCf2
+        6Pjjx5/36FX74nOWRw8z+pVEWHrtCFNZRYGNnpuFIwwUT20f7h3vHxzuHu8lQ2UkqehW2NDcM82K
+        NTc7rc5es3XYbB8tvEvDgnzWhV+2AAC+pL8xTi3pNutCK1+uVOQ9FpR17zYBZM6ouJKh9+wD6pDl
+        K6MwOpBOoX8oTV2UoQtnoM0UBGooeEKAUMT4AbWfkgO40gPWqKCXnrvwhhwBewglgaMJe5Kg2Acw
+        47QWjIV2C0bkA3gjBDmwCmfkPLBOO6bGKQnoo8c7EcyIHHRand0c6NYqFhzUDOhWqFqyLqDv8DMr
+        Rr08p3ulr3R7B16+PGejScGQvGdonOlADoaMFcPJYPvlyysNAE24MJ5jdrowMG6KTi7W39IMeiE4
+        HtWBfBdeOR6NFOsihwl7NjqHwqBqemFcDARHrDjMdhbuPVEyTagiHXwXhrUKbBVBH5UyGuSLdw6m
+        rDW5HE6MRehV5FggiBIrm07/KV3ESW3v1qDRaXU62zuRsBMJ384S+XCE1v75BzQu0LGHS2Qdmq/J
+        Vcj6+aCXlkjmEEiUmn+rKYcxa/Yl62Iz3OBs0Hsg2vbRdg7VEv6ci5qgDYGDIp8DagkTdGxqD9JU
+        5AMLELX1iXA3Ep66eOXwBlHF3Y0halGSj6k84TB7Pt2FmcY793PIexlk7QNrETZT9mstySsuMBVx
+        dIoH/Xg66MHJAtnDOWFknKc25Wt3O4cLRxWTW1rn/AlyL6WRJqzhFUHf1TNNT6IcshwzKUnuIdDY
+        4uvVmgYPT/65RjdGm0PkrK1/EnJi209s6LiCPunPVCE0eqp5FgKXKJ+futdrycpTu1d4k/4PKAIL
+        VMA6kFJckBa0mTJ20MYuvKvSb8k8TDmU8J5QwRClY5noDiLd+zieApzTFLU0U3/D0BicQB+dIGU0
+        Ph9ysOy1HOzCJT0gOUb1+JRJjdiPo3VI+oWHizQR19DWa3iR1XOMbYn3Z8wigYcRcWhKrEjCJSos
+        oXHOE3LWGPWvB8t4RSiXM3UzzzeFuBqN81J8vBITwVF6D9Q3CEMjHf/1OzTW8vj/9NUzim/4UI3d
+        peP7ylyM0YRzHHHeoHMzeItxUPRjgjUMa82i/K8dtTbxV821GeS1UZI09I0Jdw30wNhIOTqtnbGE
+        egVesgVXR89mbRNcuzXvKOn4wQn4WKo2vbNpTNpH3eJvWCmfg11mb9lcsaem6EiT9zvLcx4tw3tg
+        TxiDH0r2cw3EHkTtovqDacmKAGVJ6dUTzEIx+eBYxLii/HlE5ezAKYpy8QSs40aSUKIHSZXRPsx/
+        h24F2QXn/A7SW9dRhe4GR4rAkhsbV6EWEcobxZLHsxRUSezABwy1j4LMm4qWOi4JuH9QbDvr2tLR
+        uPYY9a2ulVozoNYmYAwxqdpPC8vXOx2rTGGdGflvXLP5HLl2hN7oqFl9MDZL1q9bAJ+SXq7vSeDM
+        OlPZcB3MDaWfa++1DucHZiudvjIftPYX1mACqpWh02p38g1HXksKyMqvie5MoChJrnxXCh1ryWbN
+        sLUG/n08m86ew7MunnL8yiBiUZC8to7kvNw2bXMUP2Qe2nZ30SngzJObsKDrwORiMiSNsVbzz4vM
+        z3yg6nrMuiBnHc+/Mcb2+qCDnV08atM42/q69TcAAAD//wMAvqcBwHENAAA=
+    headers:
+      CF-RAY:
+      - 94d9b7561f204d3b-GRU
+      Connection:
+      - keep-alive
+      Content-Encoding:
+      - gzip
+      Content-Type:
+      - application/json
+      Date:
+      - Tue, 10 Jun 2025 14:56:46 GMT
+      Server:
+      - cloudflare
+      Transfer-Encoding:
+      - chunked
+      X-Content-Type-Options:
+      - nosniff
+      access-control-expose-headers:
+      - X-Request-ID
+      alt-svc:
+      - h3=":443"; ma=86400
+      cf-cache-status:
+      - DYNAMIC
+      openai-organization:
+      - crewai-iuxna1
+      openai-processing-ms:
+      - '12189'
+      openai-version:
+      - '2020-10-01'
+      strict-transport-security:
+      - max-age=31536000; includeSubDomains; preload
+      x-envoy-upstream-service-time:
+      - '12193'
+      x-ratelimit-limit-requests:
+      - '30000'
+      x-ratelimit-limit-tokens:
+      - '150000000'
+      x-ratelimit-remaining-requests:
+      - '29999'
+      x-ratelimit-remaining-tokens:
+      - '149998513'
+      x-ratelimit-reset-requests:
+      - 2ms
+      x-ratelimit-reset-tokens:
+      - 0s
+      x-request-id:
+      - req_1098f5a5384f4a26aecf0c9e4e4d1fc0
+    status:
+      code: 200
+      message: OK
+- request:
+    body: '{"messages": [{"role": "system", "content": "You are Sports Analyst. You
+      are an expert at gathering and organizing information. You carefully collect
+      details and present them in a structured way.\nYour personal goal is: Gather
+      information about the best soccer players\n\nTo give my best complete final
+      answer to the task respond using the exact following format:\n\nThought: I now
+      can give a great answer\nFinal Answer: Your final answer must be the great and
+      the most complete as possible, it must be outcome described.\n\nI MUST use these
+      formats, my job depends on it!"}, {"role": "user", "content": "Top 10 best players
+      in the world?"}, {"role": "assistant", "content": "Thought: I now can give a
+      great answer  \nFinal Answer: The top 10 best soccer players in the world, as
+      of October 2023, can be identified based on their recent performances, skills,
+      impact on games, and overall contributions to their teams. Here is the structured
+      list:\n\n1. **Lionel Messi (Inter Miami CF)**\n   - Position: Forward\n   -
+      Key Attributes: Dribbling, vision, goal-scoring ability.\n   - Achievements:
+      Multiple Ballon d''Or winner, Copa America champion, World Cup champion (2022).\n\n2.
+      **Kylian Mbapp\u00e9 (Paris Saint-Germain)**\n   - Position: Forward\n   - Key
+      Attributes: Speed, technique, finishing.\n   - Achievements: FIFA World Cup
+      champion (2018), Ligue 1 titles, multiple domestic cups.\n\n3. **Erling Haaland
+      (Manchester City)**\n   - Position: Forward\n   - Key Attributes: Power, speed,
+      goal-scoring instinct.\n   - Achievements: Bundesliga top scorer, UEFA Champions
+      League winner (2023), Premier League titles.\n\n4. **Kevin De Bruyne (Manchester
+      City)**\n   - Position: Midfielder\n   - Key Attributes: Passing, vision, creativity.\n   -
+      Achievements: Multiple Premier League titles, FA Cups, UEFA Champions League
+      winner (2023).\n\n5. **Karim Benzema (Al-Ittihad)**\n   - Position: Forward\n   -
+      Key Attributes: Goal-scoring, playmaking, tactical intelligence.\n   - Achievements:
+      2022 Ballon d''Or winner, multiple Champions Leagues with Real Madrid.\n\n6.
+      **Neymar Jr. (Al Hilal)**\n   - Position: Forward\n   - Key Attributes: Flair,
+      dribbling, creativity.\n   - Achievements: Multiple domestic league titles,
+      Champions League runner-up.\n\n7. **Robert Lewandowski (FC Barcelona)**\n   -
+      Position: Forward\n   - Key Attributes: Finishing, positioning, aerial ability.\n   -
+      Achievements: FIFA Best Men''s Player, multiple Bundesliga titles, La Liga champion
+      (2023).\n\n8. **Mohamed Salah (Liverpool)**\n   - Position: Forward\n   - Key
+      Attributes: Speed, finishing, dribbling.\n   - Achievements: Premier League
+      champion, FA Cup, UEFA Champions League winner.\n\n9. **Vin\u00edcius J\u00fanior
+      (Real Madrid)**\n   - Position: Forward\n   - Key Attributes: Speed, dribbling,
+      creativity.\n   - Achievements: UEFA Champions League winner (2022), La Liga
+      champion (2023).\n\n10. **Luka Modri\u0107 (Real Madrid)**\n    - Position:
+      Midfielder\n    - Key Attributes: Passing, vision, tactical intelligence.\n    -
+      Achievements: Multiple Champions League titles, Ballon d''Or winner (2018).\n\nThis
+      list is compiled based on their current form, past performances, and contributions
+      to their respective teams in both domestic and international competitions. Player
+      rankings can vary based on personal opinion and specific criteria used for evaluation,
+      but these players have consistently been regarded as some of the best in the
+      world as of October 2023."}, {"role": "user", "content": "You are not allowed
+      to include Brazilian players"}, {"role": "assistant", "content": "Thought: I
+      now can give a great answer  \nFinal Answer: Here is an updated list of the
+      top 10 best soccer players in the world as of October 2023, excluding Brazilian
+      players:\n\n1. **Lionel Messi (Inter Miami CF)**\n   - Position: Forward\n   -
+      Key Attributes: Dribbling, vision, goal-scoring ability.\n   - Achievements:
+      Multiple Ballon d''Or winner, Copa America champion, World Cup champion (2022).\n\n2.
+      **Kylian Mbapp\u00e9 (Paris Saint-Germain)**\n   - Position: Forward\n   - Key
+      Attributes: Speed, technique, finishing.\n   - Achievements: FIFA World Cup
+      champion (2018), Ligue 1 titles, multiple domestic cups.\n\n3. **Erling Haaland
+      (Manchester City)**\n   - Position: Forward\n   - Key Attributes: Power, speed,
+      goal-scoring instinct.\n   - Achievements: Bundesliga top scorer, UEFA Champions
+      League winner (2023), Premier League titles.\n\n4. **Kevin De Bruyne (Manchester
+      City)**\n   - Position: Midfielder\n   - Key Attributes: Passing, vision, creativity.\n   -
+      Achievements: Multiple Premier League titles, FA Cups, UEFA Champions League
+      winner (2023).\n\n5. **Karim Benzema (Al-Ittihad)**\n   - Position: Forward\n   -
+      Key Attributes: Goal-scoring, playmaking, tactical intelligence.\n   - Achievements:
+      2022 Ballon d''Or winner, multiple Champions Leagues with Real Madrid.\n\n6.
+      **Robert Lewandowski (FC Barcelona)**\n   - Position: Forward\n   - Key Attributes:
+      Finishing, positioning, aerial ability.\n   - Achievements: FIFA Best Men''s
+      Player, multiple Bundesliga titles, La Liga champion (2023).\n\n7. **Mohamed
+      Salah (Liverpool)**\n   - Position: Forward\n   - Key Attributes: Speed, finishing,
+      dribbling.\n   - Achievements: Premier League champion, FA Cup, UEFA Champions
+      League winner.\n\n8. **Vin\u00edcius J\u00fanior (Real Madrid)**\n   - Position:
+      Forward\n   - Key Attributes: Speed, dribbling, creativity.\n   - Achievements:
+      UEFA Champions League winner (2022), La Liga champion (2023).\n\n9. **Luka Modri\u0107
+      (Real Madrid)**\n   - Position: Midfielder\n   - Key Attributes: Passing, vision,
+      tactical intelligence.\n   - Achievements: Multiple Champions League titles,
+      Ballon d''Or winner (2018).\n\n10. **Harry Kane (Bayern Munich)**\n    - Position:
+      Forward\n    - Key Attributes: Goal-scoring, technique, playmaking.\n    - Achievements:
+      Golden Boot winner, Premier League titles, UEFA European Championship runner-up.\n\nThis
+      list has been adjusted to exclude Brazilian players and focuses on those who
+      have made significant impacts in their clubs and on the international stage
+      as of October 2023. Each player is recognized for their exceptional skills,
+      performances, and achievements."}, {"role": "user", "content": "You are not
+      allowed to include Brazilian players"}, {"role": "assistant", "content": "Thought:
+      I now can give a great answer  \nFinal Answer: Here is the revised list of the
+      top 10 best soccer players in the world as of October 2023, explicitly excluding
+      Brazilian players:\n\n1. **Lionel Messi (Inter Miami CF)**\n   - Position: Forward\n   -
+      Key Attributes: Dribbling, vision, goal-scoring ability.\n   - Achievements:
+      Multiple Ballon d''Or winner, Copa America champion, World Cup champion (2022).\n\n2.
+      **Kylian Mbapp\u00e9 (Paris Saint-Germain)**\n   - Position: Forward\n   - Key
+      Attributes: Speed, technique, finishing.\n   - Achievements: FIFA World Cup
+      champion (2018), multiple Ligue 1 titles, and various domestic cups.\n\n3. **Erling
+      Haaland (Manchester City)**\n   - Position: Forward\n   - Key Attributes: Power,
+      speed, goal-scoring instinct.\n   - Achievements: Bundesliga top scorer, UEFA
+      Champions League winner (2023), Premier League titles.\n\n4. **Kevin De Bruyne
+      (Manchester City)**\n   - Position: Midfielder\n   - Key Attributes: Passing,
+      vision, creativity.\n   - Achievements: Multiple Premier League titles, FA Cups,
+      UEFA Champions League winner (2023).\n\n5. **Karim Benzema (Al-Ittihad)**\n   -
+      Position: Forward\n   - Key Attributes: Goal-scoring, playmaking, tactical intelligence.\n   -
+      Achievements: 2022 Ballon d''Or winner, multiple Champions Leagues with Real
+      Madrid.\n\n6. **Robert Lewandowski (FC Barcelona)**\n   - Position: Forward\n   -
+      Key Attributes: Finishing, positioning, aerial ability.\n   - Achievements:
+      FIFA Best Men''s Player, multiple Bundesliga titles, La Liga champion (2023).\n\n7.
+      **Mohamed Salah (Liverpool)**\n   - Position: Forward\n   - Key Attributes:
+      Speed, finishing, dribbling.\n   - Achievements: Premier League champion, FA
+      Cup, UEFA Champions League winner.\n\n8. **Luka Modri\u0107 (Real Madrid)**\n   -
+      Position: Midfielder\n   - Key Attributes: Passing, vision, tactical intelligence.\n   -
+      Achievements: Multiple Champions League titles, Ballon d''Or winner (2018).\n\n9.
+      **Harry Kane (Bayern Munich)**\n   - Position: Forward\n   - Key Attributes:
+      Goal-scoring, technique, playmaking.\n   - Achievements: Golden Boot winner,
+      Premier League titles, UEFA European Championship runner-up.\n\n10. **Rodri
+      (Manchester City)**\n    - Position: Midfielder\n    - Key Attributes: Defensive
+      skills, passing, positional awareness.\n    - Achievements: Premier League titles,
+      UEFA Champions League winner (2023).\n\nThis list is curated while adhering
+      to the restriction of excluding Brazilian players. Each player included has
+      demonstrated exceptional skills and remarkable performances, solidifying their
+      status as some of the best in the world as of October 2023."}, {"role": "user",
+      "content": "You are not allowed to include Brazilian players"}], "model": "gpt-4o-mini",
+      "stop": ["\nObservation:"]}'
+    headers:
+      accept:
+      - application/json
+      accept-encoding:
+      - gzip, deflate, zstd
+      connection:
+      - keep-alive
+      content-length:
+      - '9093'
+      content-type:
+      - application/json
+      cookie:
+      - __cf_bm=8Yv8F0ZCFAo2lf.qoqxao70yxyjVvIV90zQqVF6bVzQ-1749567342-1.0.1.1-fZgnv3RDfunvCO1koxwwFJrHnxSx_rwS_FHvQ6xxDPpKHwYr7dTqIQLZrNgSX5twGyK4F22rUmkuiS6KMVogcinChk8lmHtJBTUVTFjr2KU;
+        _cfuvid=wzh8YnmXvLq1G0RcIVijtzboQtCZyIe2uZiochkBLqE-1749567342267-0.0.1.1-604800000
+      host:
+      - api.openai.com
+      user-agent:
+      - OpenAI/Python 1.78.0
+      x-stainless-arch:
+      - arm64
+      x-stainless-async:
+      - 'false'
+      x-stainless-lang:
+      - python
+      x-stainless-os:
+      - MacOS
+      x-stainless-package-version:
+      - 1.78.0
+      x-stainless-raw-response:
+      - 'true'
+      x-stainless-read-timeout:
+      - '600.0'
+      x-stainless-retry-count:
+      - '0'
+      x-stainless-runtime:
+      - CPython
+      x-stainless-runtime-version:
+      - 3.12.9
+    method: POST
+    uri: https://api.openai.com/v1/chat/completions
+  response:
+    body:
+      string: !!binary |
+        H4sIAAAAAAAAAwAAAP//rJfNThtJEMfvPEVpLjFojGxjEuIbJhCi4ASFRKvVJkLl7vJMLT3Vk+4e
+        O06U8z7LPsfug626bbAhJgm7e0F4aqqmfl0f858vWwAZ62wAmSoxqKo27WHRlEc0edUdv+q9pl/f
+        2P2jsnz38dXw7J3GLI8edvw7qXDttatsVRsKbGVhVo4wUIzafdJ/uv/4Sb/bT4bKajLRrahDu2/b
+        FQu3e51ev9150u4eLL1Ly4p8NoDftgAAvqS/MU/R9CkbQCe/vlKR91hQNri5CSBz1sQrGXrPPqCE
+        LF8ZlZVAklJ/W9qmKMMAXoDYGSgUKHhKgFDE/AHFz8gBvJcTFjRwmH4P4JQcAXtAcDRhIQ2GfQA7
+        gVASBFtDtwNj8gG8VYoc1Abn5DywpDtm1hkN6KPHaxXsmBz0Or29HEh841gKCCUGEAtDh5/ZMMpN
+        DIzPFmUaTXrwXt5Ldxd2ds7YChkYkfcMrRcSyMGIsWI4Otne2XkvANCGc+s5FmkAJ9bN0Onl9Zc0
+        h8MQHI+bQH4AzxyPx4alyGHKnq3kUFg0ba9syg7HbDjMd5fuh6pkmlJFEvwARo0JXBuCIRpjBfSj
+        1w5mLEIuhyNbIxxW5FghqBKrOkX/JZ3IUVPfXINWr9Prbe9Gwl4kfDlPxzAaY13/9Se0ztGxhwtk
+        Ce3n5CpkeTjoRU2kcwikSuGPDeUwYWFfshSb4U5enBzek233YDuH6hr+jIuGoAuBgyGfwxQd28aD
+        thX5wApUU/tEtxfpjl08bjhFNCgaWiMUVZKPZTziMH842bmdxfP2C8Bb1WPxgUWFzYTDRjR5wwWm
+        To5OMdC745NDOFriejgjjHyLsqZa7W3ncO6oYnLX1gV7guynEtKUBZ4RDF0zF/opyhHrCZPR5O4D
+        jVO+3qlp9/D0x/25MdscImdT+59CTmz7iQ0dVzAk+UwVQuvQtF+EwCXqh5fu+Vqx8jT3FV6l/wOq
+        wAoNsAQyhgsSRZsp4/RsnMCbDr1L5mHGoYQ3hAZGqB3rRPc40r2JOyrAGc1QtJ35K4bWyREM0Sky
+        VvDhkCfXc5ZDvXRJP5Aco/n+hklDOIz7dUTyyMN5Wo1raOs9vKzqGcaRxNv7ZVnAJxFxZEusSMMF
+        GiyhdcZTcrW15l8vlcmKUF/v0808dxpxtRYXrfj9TkwEB+kd0FwhjKx2/Pcf0Fqr4/8zVw9ovtF9
+        PXZTjm87c7lCE87TiHOKzs3hJcZFMYwFFhg1wqr8rxO1tu1Xw7UZ5Lk1mgSG1oZvB+ie/ZGKddw4
+        WxPK6gRKrsE1MUS7qRNltxMxL6zAKTVSRC0Erbc2BJISKzi1wdeNu6a9F/enOvAu6I968Lvg6++w
+        9SX/tmS/kEIlehgTCSh0NGmMmYOjKXvSECzQpyRfAI3ZIHBmJRuCkovScFGG+MbytqJreVVZHyCg
+        IQmkgUXzlHWDJqmrpd76VlrtwjGqcvmMlJ4v7UxhzMhRhe4Kx4aAJhNSgack5D3EN7G/YmNyiKox
+        HW9KhwvhCSuUYOYRKJTEDgJh5cEKjG0oV4cUo8SRcYKxeGjAByzI766r0nhKHqMylsaYNQOK2JAc
+        kx7+sLR8vVHAxha1s2N/xzVbFP/SEXorUe36YOssWb9uAXxISru5JZ6z2tmqDpfBXlF6XK/TO1gE
+        zFYKf2V+vBD1AFmwAc2a3+N+L98Q8lJTQDZ+Ta5nClVJeuXb7R2s5D02mu3K1tlaY/82pU3hF/ws
+        xVqUe8OvDEpRHUhf1o40q9vYq9scxa+g+267OeuUcObJTVnRZWBysR6aJtiYxbdJ5uc+UHU5YSnI
+        1Y4XHyiT+nKvj/t9pKd7Ktv6uvUPAAAA//8DAMc1SFGuDQAA
+    headers:
+      CF-RAY:
+      - 94d9b7d24d991d2c-GRU
+      Connection:
+      - keep-alive
+      Content-Encoding:
+      - gzip
+      Content-Type:
+      - application/json
+      Date:
+      - Tue, 10 Jun 2025 14:57:29 GMT
+      Server:
+      - cloudflare
+      Transfer-Encoding:
+      - chunked
+      X-Content-Type-Options:
+      - nosniff
+      access-control-expose-headers:
+      - X-Request-ID
+      alt-svc:
+      - h3=":443"; ma=86400
+      cf-cache-status:
+      - DYNAMIC
+      openai-organization:
+      - crewai-iuxna1
+      openai-processing-ms:
+      - '35291'
+      openai-version:
+      - '2020-10-01'
+      strict-transport-security:
+      - max-age=31536000; includeSubDomains; preload
+      x-envoy-upstream-service-time:
+      - '35294'
+      x-ratelimit-limit-requests:
+      - '30000'
+      x-ratelimit-limit-tokens:
+      - '150000000'
+      x-ratelimit-remaining-requests:
+      - '29999'
+      x-ratelimit-remaining-tokens:
+      - '149997855'
+      x-ratelimit-reset-requests:
+      - 2ms
+      x-ratelimit-reset-tokens:
+      - 0s
+      x-request-id:
+      - req_4676152d4227ac1825d1240ddef231d6
+    status:
+      code: 200
+      message: OK
+version: 1

tests/cassettes/test_task_with_no_arguments.yaml

@@ -286,4 +286,114 @@ interactions:
       - req_6359d0b5a619bc298105eef983d1e3f6
     http_version: HTTP/1.1
     status_code: 200
+- request:
+    body: null
+    headers: {}
+    method: GET
+    uri: https://pypi.org/pypi/agentops/json
+  response:
+    body:
+      string: '{"info":{"author":null,"author_email":"Alex Reibman <areibman@gmail.com>,
+        Shawn Qiu <siyangqiu@gmail.com>, Braelyn Boynton <bboynton97@gmail.com>, Howard
+        Gil <howardbgil@gmail.com>, Constantin Teodorescu <teocns@gmail.com>, Pratyush
+        Shukla <ps4534@nyu.edu>, Travis Dent <tcdent@gmail.com>, Dwij Patel <dwijpatel1704@gmail.com>","bugtrack_url":null,"classifiers":["License
+        :: OSI Approved :: MIT License","Operating System :: OS Independent","Programming
+        Language :: Python :: 3","Programming Language :: Python :: 3.10","Programming
+        Language :: Python :: 3.11","Programming Language :: Python :: 3.12","Programming
+        Language :: Python :: 3.13","Programming Language :: Python :: 3.9"],"description":"","description_content_type":null,"docs_url":null,"download_url":null,"downloads":{"last_day":-1,"last_month":-1,"last_week":-1},"dynamic":null,"home_page":null,"keywords":null,"license":null,"license_expression":null,"license_files":["LICENSE"],"maintainer":null,"maintainer_email":null,"name":"agentops","package_url":"https://pypi.org/project/agentops/","platform":null,"project_url":"https://pypi.org/project/agentops/","project_urls":{"Homepage":"https://github.com/AgentOps-AI/agentops","Issues":"https://github.com/AgentOps-AI/agentops/issues"},"provides_extra":null,"release_url":"https://pypi.org/project/agentops/0.4.14/","requires_dist":["httpx<0.29.0,>=0.24.0","opentelemetry-api==1.29.0;
+        python_version < \"3.10\"","opentelemetry-api>1.29.0; python_version >= \"3.10\"","opentelemetry-exporter-otlp-proto-http==1.29.0;
+        python_version < \"3.10\"","opentelemetry-exporter-otlp-proto-http>1.29.0;
+        python_version >= \"3.10\"","opentelemetry-instrumentation==0.50b0; python_version
+        < \"3.10\"","opentelemetry-instrumentation>=0.50b0; python_version >= \"3.10\"","opentelemetry-sdk==1.29.0;
+        python_version < \"3.10\"","opentelemetry-sdk>1.29.0; python_version >= \"3.10\"","opentelemetry-semantic-conventions==0.50b0;
+        python_version < \"3.10\"","opentelemetry-semantic-conventions>=0.50b0; python_version
+        >= \"3.10\"","ordered-set<5.0.0,>=4.0.0","packaging<25.0,>=21.0","psutil<6.1.0,>=5.9.8","pyyaml<7.0,>=5.3","requests<3.0.0,>=2.0.0","termcolor<2.5.0,>=2.3.0","wrapt<2.0.0,>=1.0.0"],"requires_python":">=3.9","summary":"Observability
+        and DevTool Platform for AI Agents","version":"0.4.14","yanked":false,"yanked_reason":null},"last_serial":29355868,"releases":{"0.0.1":[{"comment_text":"","digests":{"blake2b_256":"9b4641d084346e88671acc02e3a0049d3e0925fe99edd88c8b82700dc3c04d01","md5":"2b491f3b3dd01edd4ee37c361087bb46","sha256":"f2cb9d59a0413e7977a44a23dbd6a9d89cda5309b63ed08f5c346c7488acf645"},"downloads":-1,"filename":"agentops-0.0.1-py3-none-any.whl","has_sig":false,"md5_digest":"2b491f3b3dd01edd4ee37c361087bb46","packagetype":"bdist_wheel","python_version":"py3","requires_python":">=3.7","size":10328,"upload_time":"2023-08-21T18:33:47","upload_time_iso_8601":"2023-08-21T18:33:47.827866Z","url":"https://files.pythonhosted.org/packages/9b/46/41d084346e88671acc02e3a0049d3e0925fe99edd88c8b82700dc3c04d01/agentops-0.0.1-py3-none-any.whl","yanked":false,"yanked_reason":null},{"comment_text":"","digests":{"blake2b_256":"b280bf609d98778499bd42df723100a8e910d9b9827cbd00b804cf0b13bb3c87","md5":"ff218fc16d45cf72f73d50ee9a0afe82","sha256":"5c3d4311b9dde0c71cb475ec99d2963a71604c78d468b333f55e81364f4fe79e"},"downloads":-1,"filename":"agentops-0.0.1.tar.gz","has_sig":false,"md5_digest":"ff218fc16d45cf72f73d50ee9a0afe82","packagetype":"sdist","python_version":"source","requires_python":">=3.7","size":11452,"upload_time":"2023-08-21T18:33:49","upload_time_iso_8601":"2023-08-21T18:33:49.613830Z","url":"https://files.pythonhosted.org/packages/b2/80/bf609d98778499bd42df723100a8e910d9b9827cbd00b804cf0b13bb3c87/agentops-0.0.1.tar.gz","yanked":false,"yanked_reason":null}],"0.0.10":[{"comment_text":"","digests":{"blake2b_256":"92933862af53105332cb524db237138d3284b5d6abcc7df5fd4406e382372d94","md5":"8bdea319b5579775eb88efac72e70cd6","sha256":"e8a333567458c1df35538d626bc596f3ba7b8fa2aac5015bc378f3f7f8850669"},"downloads":-1,"filename":"agentops-0.0.10-py3-none-any.whl","has_sig":false,"md5_digest":"8bdea319b5579775eb88efac72e70cd6","packagetype":"bdist_wheel","python_version":"py3","requires_python":">=3.7","size":14752,"upload_time":"2023-12-16T01:40:40","upload_time_iso_8601":"2023-12-16T01:40:40.867657Z","url":"https://files.pythonhosted.org/packages/92/93/3862af53105332cb524db237138d3284b5d6abcc7df5fd4406e382372d94/agentops-0.0.10-py3-none-any.whl","yanked":false,"yanked_reason":null},{"comment_text":"","digests":{"blake2b_256":"c63136b1f2e508b67f92ddb5f51f2acf5abdf2bf4b32d5b355d8018b368dc854","md5":"87bdcd4d7469d22ce922234d4f0b2b98","sha256":"5fbc567bece7b218fc35ce70d208e88e89bb399a9dbf84ab7ad59a2aa559648c"},"downloads":-1,"filename":"agentops-0.0.10.tar.gz","has_sig":false,"md5_digest":"87bdcd4d7469d22ce922234d4f0b2b98","packagetype":"sdist","python_version":"source","requires_python":">=3.7","size":15099,"upload_time":"2023-12-16T01:40:42","upload_time_iso_8601":"2023-12-16T01:40:42.281826Z","url":"https://files.pythonhosted.org/packages/c6/31/36b1f2e508b67f92ddb5f51f2acf5abdf2bf4b32d5b355d8018b368dc854/agentops-0.0.10.tar.gz","yanked":false,"yanked_reason":null}],"0.0.11":[{"comment_text":"","digests":{"blake2b_256":"7125ed114f918332cda824092f620b1002fd76ab6b538dd83711b31c93907139","md5":"83ba7e621f01412144aa38306fc1e04c","sha256":"cb80823e065d17dc26bdc8fe951ea7e04b23677ef2b4da939669c6fe1b2502bf"},"downloads":-1,"filename":"agentops-0.0.11-py3-none-any.whl","has_sig":false,"md5_digest":"83ba7e621f01412144aa38306fc1e04c","packagetype":"bdist_wheel","python_version":"py3","requires_python":">=3.7","size":16627,"upload_time":"2023-12-21T19:50:28","upload_time_iso_8601":"2023-12-21T19:50:28.595886Z","url":"https://files.pythonhosted.org/packages/71/25/ed114f918332cda824092f620b1002fd76ab6b538dd83711b31c93907139/agentops-0.0.11-py3-none-any.whl","yanked":false,"yanked_reason":null},{"comment_text":"","digests":{"blake2b_256":"9e037750b04398cda2548bbf3d84ce554c4009592095c060c4904e773f3a43da","md5":"5bbb120cc9a5f5ff6fb5dd45691ba279","sha256":"cbf0f39768d47e32be448a3ff3ded665fce64ff8a90c0e10692fd7a3ab4790ee"},"downloads":-1,"filename":"agentops-0.0.11.tar.gz","has_sig":false,"md5_digest":"5bbb120cc9a5f5ff6fb5dd45691ba279","packagetype":"sdist","python_version":"source","requires_python":">=3.7","size":16794,"upload_time":"2023-12-21T19:50:29","upload_time_iso_8601":"2023-12-21T19:50:29.881561Z","url":"https://files.pythonhosted.org/packages/9e/03/7750b04398cda2548bbf3d84ce554c4009592095c060c4904e773f3a43da/agentops-0.0.11.tar.gz","yanked":false,"yanked_reason":null}],"0.0.12":[{"comment_text":"","digests":{"blake2b_256":"adf5cc3e93b2328532ea80b8b36450b8b48a8199ebbe1f75ebb490e57a926b88","md5":"694ba49ca8841532039bdf8dc0250b85","sha256":"9a2c773efbe3353f60d1b86da12333951dad288ba54839615a53b57e5965bea8"},"downloads":-1,"filename":"agentops-0.0.12-py3-none-any.whl","has_sig":false,"md5_digest":"694ba49ca8841532039bdf8dc0250b85","packagetype":"bdist_wheel","python_version":"py3","requires_python":">=3.7","size":18602,"upload_time":"2024-01-03T03:47:07","upload_time_iso_8601":"2024-01-03T03:47:07.184203Z","url":"https://files.pythonhosted.org/packages/ad/f5/cLine truncated
+        breaking bug"},{"comment_text":"","digests":{"blake2b_256":"b2447ce75e71fcc9605a609b41adc52d517eba4356d15f7ca77d46f683ca07f1","md5":"9a9bb22af4b30c454d46b9a01e8701a0","sha256":"70d22e9a71ea13af6e6ad9c1cffe63c98f9dbccf91bda199825609379b2babaf"},"downloads":-1,"filename":"agentops-0.1.7.tar.gz","has_sig":false,"md5_digest":"9a9bb22af4b30c454d46b9a01e8701a0","packagetype":"sdist","python_version":"source","requires_python":">=3.10","size":28122,"upload_time":"2024-05-03T19:21:39","upload_time_iso_8601":"2024-05-03T19:21:39.415523Z","url":"https://files.pythonhosted.org/packages/b2/44/7ce75e71fcc9605a609b41adc52d517eba4356d15f7ca77d46f683ca07f1/agentops-0.1.7.tar.gz","yanked":true,"yanked_reason":"Introduced
+        breaking bug"}],"0.1.8":[{"comment_text":"","digests":{"blake2b_256":"38c63d0d19eeae4c3c9e3ff5957b10c3c16a4a9fd2be6673fbfc965f8bb4fd08","md5":"e12d3d92f51f5b2fed11a01742e5b5b5","sha256":"d49d113028a891d50900bb4fae253218cc49519f7fe39f9ea15f8f2b29d6d7ef"},"downloads":-1,"filename":"agentops-0.1.8-py3-none-any.whl","has_sig":false,"md5_digest":"e12d3d92f51f5b2fed11a01742e5b5b5","packagetype":"bdist_wheel","python_version":"py3","requires_python":">=3.10","size":27977,"upload_time":"2024-05-04T03:01:53","upload_time_iso_8601":"2024-05-04T03:01:53.905081Z","url":"https://files.pythonhosted.org/packages/38/c6/3d0d19eeae4c3c9e3ff5957b10c3c16a4a9fd2be6673fbfc965f8bb4fd08/agentops-0.1.8-py3-none-any.whl","yanked":false,"yanked_reason":null},{"comment_text":"","digests":{"blake2b_256":"9269e51fa1714f169f692e4fad0a42ebeb77c7a27c48f62b751c869ad6441c69","md5":"07dbdb45f9ec086b1bc314d6a8264423","sha256":"5762137a84e2309e1b6ca9a0fd72c8b72c90f6f73ba49549980722221960cac8"},"downloads":-1,"filename":"agentops-0.1.8.tar.gz","has_sig":false,"md5_digest":"07dbdb45f9ec086b1bc314d6a8264423","packagetype":"sdist","python_version":"source","requires_python":">=3.10","size":28189,"upload_time":"2024-05-04T03:01:55","upload_time_iso_8601":"2024-05-04T03:01:55.328668Z","url":"https://files.pythonhosted.org/packages/92/69/e51fa1714f169f692e4fad0a42ebeb77c7a27c48f62b751c869ad6441c69/agentops-0.1.8.tar.gz","yanked":false,"yanked_reason":null}],"0.1.9":[{"comment_text":"","digests":{"blake2b_256":"eb5a920e71729bd1f06b002ee146b38b0d1862357a1f484628e6b20a7d3dcca1","md5":"6ae4929d91c4bb8025edc86b5322630c","sha256":"af7983ba4929b04a34714dd97d7e82c11384ebbe9d7d8bc7b673e1263c4c79a1"},"downloads":-1,"filename":"agentops-0.1.9-py3-none-any.whl","has_sig":false,"md5_digest":"6ae4929d91c4bb8025edc86b5322630c","packagetype":"bdist_wheel","python_version":"py3","requires_python":">=3.7","size":28458,"upload_time":"2024-05-07T07:07:30","upload_time_iso_8601":"2024-05-07T07:07:30.798380Z","url":"https://files.pythonhosted.org/packages/eb/5a/920e71729bd1f06b002ee146b38b0d1862357a1f484628e6b20a7d3dcca1/agentops-0.1.9-py3-none-any.whl","yanked":false,"yanked_reason":null},{"comment_text":"","digests":{"blake2b_256":"df2b8fc76d629d8a83b0796612a27b966426550114c930eee5d730654fcd9fe9","md5":"43090632f87cd398ed77b57daa8c28d6","sha256":"7f428bfda2db57a994029b1c9f72b63ca7660616635c9c671b2b729d112a833e"},"downloads":-1,"filename":"agentops-0.1.9.tar.gz","has_sig":false,"md5_digest":"43090632f87cd398ed77b57daa8c28d6","packagetype":"sdist","python_version":"source","requires_python":">=3.7","size":28596,"upload_time":"2024-05-07T07:07:35","upload_time_iso_8601":"2024-05-07T07:07:35.242350Z","url":"https://files.pythonhosted.org/packages/df/2b/8fc76d629d8a83b0796612a27b966426550114c930eee5d730654fcd9fe9/agentops-0.1.9.tar.gz","yanked":false,"yanked_reason":null}],"0.2.0":[{"comment_text":"","digests":{"blake2b_256":"483560ec38a81a7e9588d32730ed4f581621169216f968771d5f611388f68a9b","md5":"bdda5480977cccd55628e117e8c8da04","sha256":"bee84bf046c9b4346c5f0f50e2087a992e8d2eae80b3fe9f01c456b49c299bcc"},"downloads":-1,"filename":"agentops-0.2.0-py3-none-any.whl","has_sig":false,"md5_digest":"bdda5480977cccd55628e117e8c8da04","packagetype":"bdist_wheel","python_version":"py3","requires_python":">=3.7","size":35921,"upload_time":"2024-05-28T22:04:14","upload_time_iso_8601":"2024-05-28T22:04:14.813154Z","url":"https://files.pythonhosted.org/packages/48/35/60ec38a81a7e9588d32730ed4f581621169216f968771d5f611388f68a9b/agentops-0.2.0-py3-none-any.whl","yanked":false,"yanked_reason":null},{"comment_text":"","digests":{"blake2b_256":"8d7591c79141d31da4e56d6c6a00737b50dcc2f1ce8a711c1293d2a1d70478fc","md5":"71e3c3b9fe0286c9b58d81ba1c12a42d","sha256":"ca340136abff6a3727729c3eda87f0768e5ba2b672ce03320cb52ad138b05598"},"downloads":-1,"filename":"agentops-0.2.0.tar.gz","has_sig":false,"md5_digest":"71e3c3b9fe0286c9b58d81ba1c12a42d","packagetype":"sdist","python_version":"source","requires_python":">=3.7","size":35498,"upload_time":"2024-05-28T22:04:16","upload_time_iso_8601":"2024-05-28T22:04:16.598374Z","url":"https://files.pythonhosted.org/packages/8d/75/91c79141d31da4e56d6c6a00737b50dcc2f1ce8a711c1293d2a1d70478fc/agentops-0.2.0.tar.gz","yanked":false,"yanked_reason":null}],"0.2.1":[{"comment_text":"","digests":{"blake2b_256":"fa3b84032b7dca3d7315b329db6681bbfe0872c2a46d62ca992a05f2d6a078e1","md5":"ce3fc46711fa8225a3d6a9566f95f875","sha256":"7dde95db92c8306c0a17e193bfb5ee20e71e16630ccc629db685e148b3aca3f6"},"downloads":-1,"filename":"agentops-0.2.1-py3-none-any.whl","has_sig":false,"md5_digest":"ce3fc46711fa8225a3d6a9566f95f875","packagetype":"bdist_wheel","python_version":"py3","requires_python":">=3.7","size":36375,"upload_time":"2024-06-03T18:40:02","upload_time_iso_8601":"2024-06-03T18:40:02.820700Z","url":"https://files.pythonhosted.org/packages/fa/3b/84032b7dca3d7315b329db6681bbfe0872c2a46d62ca992a05f2d6a078e1/agentops-0.2.1-py3-none-any.whl","yanked":false,"yanked_reasoLine truncated
+        breaking change"},{"comment_text":"","digests":{"blake2b_256":"8e4b920629e08c956cdc74a31ab466d005eb13d86c2d58fa2d2bd261cf36c37b","md5":"527c82f21f01f13b879a1fca90ddb209","sha256":"d263de21eb40e15eb17adc31821fc0dee4ff4ca4501a9feb7ed376d473063208"},"downloads":-1,"filename":"agentops-0.2.4.tar.gz","has_sig":false,"md5_digest":"527c82f21f01f13b879a1fca90ddb209","packagetype":"sdist","python_version":"source","requires_python":">=3.7","size":37656,"upload_time":"2024-06-24T19:32:01","upload_time_iso_8601":"2024-06-24T19:32:01.155014Z","url":"https://files.pythonhosted.org/packages/8e/4b/920629e08c956cdc74a31ab466d005eb13d86c2d58fa2d2bd261cf36c37b/agentops-0.2.4.tar.gz","yanked":true,"yanked_reason":"Potential
+        breaking change"}],"0.2.5":[{"comment_text":"","digests":{"blake2b_256":"47c73ab9d7d971b664a9bdff6e6464afb6c1de8eb0f845d8de93eb036d5dcc60","md5":"bed576cc1591da4783777920fb223761","sha256":"ff87b82d1efaf50b10624e00c6e9334f4c16ffe08ec7f9889b4417c231c31471"},"downloads":-1,"filename":"agentops-0.2.5-py3-none-any.whl","has_sig":false,"md5_digest":"bed576cc1591da4783777920fb223761","packagetype":"bdist_wheel","python_version":"py3","requires_python":">=3.7","size":37529,"upload_time":"2024-06-26T22:57:15","upload_time_iso_8601":"2024-06-26T22:57:15.646328Z","url":"https://files.pythonhosted.org/packages/47/c7/3ab9d7d971b664a9bdff6e6464afb6c1de8eb0f845d8de93eb036d5dcc60/agentops-0.2.5-py3-none-any.whl","yanked":false,"yanked_reason":null},{"comment_text":"","digests":{"blake2b_256":"31c48f2af30ae75dbdb4697506f80f76ce786f79014deb8c6679fa62962fdd6f","md5":"42def99798edfaf201fa6f62846e77c5","sha256":"6bad7aca37af6174307769550a53ec00824049a57e97b8868a9a213b2272adb4"},"downloads":-1,"filename":"agentops-0.2.5.tar.gz","has_sig":false,"md5_digest":"42def99798edfaf201fa6f62846e77c5","packagetype":"sdist","python_version":"source","requires_python":">=3.7","size":37703,"upload_time":"2024-06-26T22:57:17","upload_time_iso_8601":"2024-06-26T22:57:17.337904Z","url":"https://files.pythonhosted.org/packages/31/c4/8f2af30ae75dbdb4697506f80f76ce786f79014deb8c6679fa62962fdd6f/agentops-0.2.5.tar.gz","yanked":false,"yanked_reason":null}],"0.2.6":[{"comment_text":"","digests":{"blake2b_256":"5af2f90538b00d887c04a5570e8a3af4aef27a600a67c058a0ee6befafd60748","md5":"8ef3ed13ed582346b71648ca9df30f7c","sha256":"59e88000a9f108931fd68056f22def7a7f4b3015906de5791e777c23ba7dee52"},"downloads":-1,"filename":"agentops-0.2.6-py3-none-any.whl","has_sig":false,"md5_digest":"8ef3ed13ed582346b71648ca9df30f7c","packagetype":"bdist_wheel","python_version":"py3","requires_python":">=3.7","size":37534,"upload_time":"2024-06-28T21:41:56","upload_time_iso_8601":"2024-06-28T21:41:56.933334Z","url":"https://files.pythonhosted.org/packages/5a/f2/f90538b00d887c04a5570e8a3af4aef27a600a67c058a0ee6befafd60748/agentops-0.2.6-py3-none-any.whl","yanked":false,"yanked_reason":null},{"comment_text":"","digests":{"blake2b_256":"bcf412c388dccc301ad54a501843ba5b5dd359575dcef9ac24c18a619a32214d","md5":"89a6b04f12801682b53ee0133593ce74","sha256":"7906a08c9154355484deb173b82631f9acddec3775b2d5e8ca946abdee27183b"},"downloads":-1,"filename":"agentops-0.2.6.tar.gz","has_sig":false,"md5_digest":"89a6b04f12801682b53ee0133593ce74","packagetype":"sdist","python_version":"source","requires_python":">=3.7","size":37874,"upload_time":"2024-06-28T21:41:59","upload_time_iso_8601":"2024-06-28T21:41:59.143953Z","url":"https://files.pythonhosted.org/packages/bc/f4/12c388dccc301ad54a501843ba5b5dd359575dcef9ac24c18a619a32214d/agentops-0.2.6.tar.gz","yanked":false,"yanked_reason":null}],"0.3.0":[{"comment_text":"","digests":{"blake2b_256":"b8e996f12ac457f46c370c6f70f344e975d534f2c92853703ee29802f0127024","md5":"d9c6995a843b49ac7eb6f500fa1f3c2a","sha256":"22aeb3355e66b32a2b2a9f676048b81979b2488feddb088f9266034b3ed50539"},"downloads":-1,"filename":"agentops-0.3.0-py3-none-any.whl","has_sig":false,"md5_digest":"d9c6995a843b49ac7eb6f500fa1f3c2a","packagetype":"bdist_wheel","python_version":"py3","requires_python":">=3.7","size":39430,"upload_time":"2024-07-17T18:38:24","upload_time_iso_8601":"2024-07-17T18:38:24.763919Z","url":"https://files.pythonhosted.org/packages/b8/e9/96f12ac457f46c370c6f70f344e975d534f2c92853703ee29802f0127024/agentops-0.3.0-py3-none-any.whl","yanked":false,"yanked_reason":null},{"comment_text":"","digests":{"blake2b_256":"7e2d6fda9613562c0394d7ef3dd8f0cb9fc4ebaa8d413862fce33940c73564d6","md5":"8fa67ca01ca726e3bfcd66898313f33f","sha256":"6c0c08a57410fa5e826a7bafa1deeba9f7b3524709427d9e1abbd0964caaf76b"},"downloads":-1,"filename":"agentops-0.3.0.tar.gz","has_sig":false,"md5_digest":"8fa67ca01ca726e3bfcd66898313f33f","packagetype":"sdist","python_version":"source","requires_python":">=3.7","size":41734,"upload_time":"2024-07-17T18:38:26","upload_time_iso_8601":"2024-07-17T18:38:26.447237Z","url":"https://files.pythonhosted.org/packages/7e/2d/6fda9613562c0394d7ef3dd8f0cb9fc4ebaa8d413862fce33940c73564d6/agentops-0.3.0.tar.gz","yanked":false,"yanked_reason":null}],"0.3.10":[{"comment_text":"","digests":{"blake2b_256":"eb5e3ac36b33d3e95747d64effd509f66a9b3b76b47216b16f492e27d8d90b0c","md5":"6fade0b81fc65b2c79a869b5f240590b","sha256":"b304d366691281e08c1f02307aabdd551ae4f68b0de82bbbb4cf6f651af2dd16"},"downloads":-1,"filename":"agentops-0.3.10-py3-none-any.whl","has_sig":false,"md5_digest":"6fade0b81fc65b2c79a869b5f240590b","packagetype":"bdist_wheel","python_version":"py3","requires_python":">=3.7","size":41201,"upload_time":"2024-08-19T20:51:49","upload_time_iso_8601":"2024-08-19T20:51:49.487947Z","url":"https://files.pythonhosted.org/packages/eb/5e/3ac36b33d3e95747d64effd509f66a9b3b76b47216b16f492e27d8d90b0c/agentops-0.3.10-py3-none-any.whl","yanked":false,"yanked_rLine truncated
+        dependency, please install 0.3.18"},{"comment_text":"","digests":{"blake2b_256":"b319bb0e9895cb6da29f764f8d7b95b10ac8fde400bc17028f9bd486e9574dbe","md5":"f6424c41464d438007e9628748a0bea6","sha256":"ca0d4ba35ae699169ae20f74f72ca6a5780a8768ba2a2c32589fc5292ed81674"},"downloads":-1,"filename":"agentops-0.3.19.tar.gz","has_sig":false,"md5_digest":"f6424c41464d438007e9628748a0bea6","packagetype":"sdist","python_version":"source","requires_python":">=3.7","size":48360,"upload_time":"2024-12-04T00:54:01","upload_time_iso_8601":"2024-12-04T00:54:01.418776Z","url":"https://files.pythonhosted.org/packages/b3/19/bb0e9895cb6da29f764f8d7b95b10ac8fde400bc17028f9bd486e9574dbe/agentops-0.3.19.tar.gz","yanked":true,"yanked_reason":"Broken
+        dependency, please install 0.3.18"}],"0.3.2":[{"comment_text":"","digests":{"blake2b_256":"9d2c23b745a61d48df788b8020e5ea37e94f9da59b322a17accafe18d8cb4006","md5":"62d576d9518a627fe4232709c0721eff","sha256":"b35988e04378624204572bb3d7a454094f879ea573f05b57d4e75ab0bfbb82af"},"downloads":-1,"filename":"agentops-0.3.2-py3-none-any.whl","has_sig":false,"md5_digest":"62d576d9518a627fe4232709c0721eff","packagetype":"bdist_wheel","python_version":"py3","requires_python":">=3.7","size":39527,"upload_time":"2024-07-21T03:09:56","upload_time_iso_8601":"2024-07-21T03:09:56.844372Z","url":"https://files.pythonhosted.org/packages/9d/2c/23b745a61d48df788b8020e5ea37e94f9da59b322a17accafe18d8cb4006/agentops-0.3.2-py3-none-any.whl","yanked":false,"yanked_reason":null},{"comment_text":"","digests":{"blake2b_256":"d2a1cc21406646c065e83435fe30fa205b99b2204d8074eca31926a5f8ef4381","md5":"30b247bcae25b181485a89213518241c","sha256":"55559ac4a43634831dfa8937c2597c28e332809dc7c6bb3bc3c8b233442e224c"},"downloads":-1,"filename":"agentops-0.3.2.tar.gz","has_sig":false,"md5_digest":"30b247bcae25b181485a89213518241c","packagetype":"sdist","python_version":"source","requires_python":">=3.7","size":41894,"upload_time":"2024-07-21T03:09:58","upload_time_iso_8601":"2024-07-21T03:09:58.409826Z","url":"https://files.pythonhosted.org/packages/d2/a1/cc21406646c065e83435fe30fa205b99b2204d8074eca31926a5f8ef4381/agentops-0.3.2.tar.gz","yanked":false,"yanked_reason":null}],"0.3.20":[{"comment_text":"","digests":{"blake2b_256":"a854ae9147a490dd9bd03ab7bfc5af47f40ff675840a9aa143896b385a8f8d3a","md5":"a13af8737ddff8a0c7c0f05cee70085f","sha256":"b5396e11b0bfef46b85604e8e36ab17668057711edd56f1edb0a067b8676fdcc"},"downloads":-1,"filename":"agentops-0.3.20-py3-none-any.whl","has_sig":false,"md5_digest":"a13af8737ddff8a0c7c0f05cee70085f","packagetype":"bdist_wheel","python_version":"py3","requires_python":">=3.7","size":38674,"upload_time":"2024-12-07T00:06:31","upload_time_iso_8601":"2024-12-07T00:06:31.901162Z","url":"https://files.pythonhosted.org/packages/a8/54/ae9147a490dd9bd03ab7bfc5af47f40ff675840a9aa143896b385a8f8d3a/agentops-0.3.20-py3-none-any.whl","yanked":true,"yanked_reason":"Wrong
+        release"},{"comment_text":"","digests":{"blake2b_256":"c1eb19d04c801854ba75e235eb87c51a6a9c5b1a89e8579cb745c83f8bf84e08","md5":"11754497191d8340eda7a831720d9b74","sha256":"c71406294804a82795310a4afc492064a8884b1ba47e12607230975bc1291ce3"},"downloads":-1,"filename":"agentops-0.3.20.tar.gz","has_sig":false,"md5_digest":"11754497191d8340eda7a831720d9b74","packagetype":"sdist","python_version":"source","requires_python":">=3.7","size":48332,"upload_time":"2024-12-07T00:06:33","upload_time_iso_8601":"2024-12-07T00:06:33.568362Z","url":"https://files.pythonhosted.org/packages/c1/eb/19d04c801854ba75e235eb87c51a6a9c5b1a89e8579cb745c83f8bf84e08/agentops-0.3.20.tar.gz","yanked":true,"yanked_reason":"Wrong
+        release"}],"0.3.20rc1":[{"comment_text":"","digests":{"blake2b_256":"073de7eba58e2a60c0136eee2760b20f99607001d372de26505feee891e0976b","md5":"73c6ac515ee9d555e27a7ba7e26e3a46","sha256":"079ea8138938e27a3e1319a235a6f4cf98c0d6846731d854aa83b8422d570bda"},"downloads":-1,"filename":"agentops-0.3.20rc1-py3-none-any.whl","has_sig":false,"md5_digest":"73c6ac515ee9d555e27a7ba7e26e3a46","packagetype":"bdist_wheel","python_version":"py3","requires_python":">=3.7","size":38718,"upload_time":"2024-12-07T00:10:18","upload_time_iso_8601":"2024-12-07T00:10:18.796963Z","url":"https://files.pythonhosted.org/packages/07/3d/e7eba58e2a60c0136eee2760b20f99607001d372de26505feee891e0976b/agentops-0.3.20rc1-py3-none-any.whl","yanked":false,"yanked_reason":null},{"comment_text":"","digests":{"blake2b_256":"02ff111d618c21aad946caedb666030f1f374a0d558228b9061ea2b46acb6bcd","md5":"17062e985b931dc85b4855922d7842ce","sha256":"ef48447e07a3eded246b2f7e10bba74422a34563ffdc667ac16b2d3383475a3f"},"downloads":-1,"filename":"agentops-0.3.20rc1.tar.gz","has_sig":false,"md5_digest":"17062e985b931dc85b4855922d7842ce","packagetype":"sdist","python_version":"source","requires_python":">=3.7","size":48329,"upload_time":"2024-12-07T00:10:20","upload_time_iso_8601":"2024-12-07T00:10:20.510407Z","url":"https://files.pythonhosted.org/packages/02/ff/111d618c21aad946caedb666030f1f374a0d558228b9061ea2b46acb6bcd/agentops-0.3.20rc1.tar.gz","yanked":false,"yanked_reason":null}],"0.3.20rc10":[{"comment_text":"","digests":{"blake2b_256":"a7274706d8d9c8f4abecc1dda2b9b02cd02ffe895220bd39f58322a46ccc7254","md5":"2c66a93c691c6b8cac2f2dc8fab9efae","sha256":"3c10d77f2fe88b61d97ad007820c1ba968c62f692986ea2b2cbfd8b22ec9e5bc"},"downloads":-1,"filename":"agentops-0.3.20rc10-py3-none-any.whl","has_sig":false,"md5_digest":"2c66a93c691c6b8cac2f2dc8fab9efae","packagetype":"bdist_wheel","python_version":"py3","requires_python":">=3.7","size":57423,"upload_time":"2024-12-10T03:41:04","upload_time_iso_8601":"2024-12-10T03:41:04.579814Z","url":"https://files.pythonhosted.org/packages/a7/27/4706d8d9c8f4abecc1dda2b9b02cd02ffe895220bd39f58322a46ccc7254/agentops-0.3.20rc10-py3-none-any.whl","yanked":false,"yanked_reason":null},{"comment_text":"","digests":{"blake2b_256":"efe9e304f465945f57e4c6d35cd35fff53dc2a2e36b9b32793fa57017467b0c2","md5":"9882d32866b94d925ba36ac376c30bea","sha256":"f0c72c20e7fe41054c22c6257420314863549dd91428a892ac9b47b81cdfcc8c"},"downloads":-1,"filename":"agentops-0.3.20rc10.tar.gz","has_sig":false,"md5_digest":"9882d32866b94d925ba36ac376c30bea","packagetype":"sdist","python_version":"source","requires_python":">=3.7","size":57564,"upload_time":"2024-12-10T03:41:06","upload_time_iso_8601":"2024-12-10T03:41:06.899043Z","url":"https://files.pythonhosted.org/packages/ef/e9/e304f465945f57e4c6d35cd35fff53dc2a2e36b9b32793fa57017467b0c2/agentops-0.3.20rc10.tar.gz","yanked":false,"yanked_reason":null}],"0.3.20rc11":[{"comment_text":"","digests":{"blake2b_256":"8dbf598ec2532b713a228f4041c9b2c10358cd43e6aecf6128d0988a0b5f103e","md5":"d9ab67a850aefcb5bf9467b48f74675d","sha256":"3e5d4c19de6c58ae684693f47a2f03db35eaf4cd6d8aafc1e804a134462c2b55"},"downloads":-1,"filename":"agentops-0.3.20rc11-py3-none-any.whl","has_sig":false,"md5_digest":"d9ab67a850aefcb5bf9467b48f74675d","packagetype":"bdist_wheel","python_version":"py3","requires_python":">=3.7","size":60280,"upload_time":"2024-12-10T22:45:05","upload_time_iso_8601":"2024-12-10T22:45:05.280119Z","url":"https://files.pythonhosted.org/packages/8d/bf/598ec2532b713a228f4041c9b2c10358cd43e6aecf6128d0988a0b5f103e/agentops-0.3.20rc11-py3-none-any.whl","yanked":false,"yanked_reason":null},{"comment_text":"","digests":{"blake2b_256":"210642e51fff6a4537fb811a15bc22d00343145285c6246dc069433d61436e1b","md5":"ca5279f4cb6ad82e06ef542a2d08d06e","sha256":"9211489c6a01bc9cda4061826f8b80d0989cfcd7fbabe1dd2ed5a5cb76b3d6f0"},"downloads":-1,"filename":"agentops-0.3.20rc11.tar.gz","has_sig":false,"md5_digest":"ca5279f4cb6ad82e06ef542a2d08d06e","packagetype":"sdist","python_version":"source","requires_python":">=3.7","size":59718,"upload_time":"2024-12-10T22:45:09","upload_time_iso_8601":"2024-12-10T22:45:09.616947Z","url":"https://files.pythonhosted.org/packages/21/06/42e51fff6a4537fb811a15bc22d00343145285c6246dc069433d61436e1b/agentops-0.3.20rc11.tar.gz","yanked":false,"yanked_reason":null}],"0.3.20rc12":[{"comment_text":"","digests":{"blake2b_256":"dc281db6f49f10ac849683de1d7f5b5ef492be2a996325302167b8388f375d51","md5":"8b2611d2510f0d4fac7ab824d7658ff7","sha256":"9237652d28db89315c49c0705829b291c17280e07d41272f909e2609acec650b"},"downloads":-1,"filename":"agentops-0.3.20rc12-py3-none-any.whl","has_sig":false,"md5_digest":"8b2611d2510f0d4fac7ab824d7658ff7","packagetype":"bdist_wheel","python_version":"py3","requires_python":">=3.7","size":60282,"upload_time":"2024-12-10T23:10:54","upload_time_iso_8601":"2024-12-10T23:10:54.516317Z","url":"https://files.pythonhosted.org/packages/dc/28/1db6f49f10ac849683de1d7f5b5ef492be2a996325302167bLine truncated
+        dependency"},{"comment_text":"","digests":{"blake2b_256":"e067e61aa4c2e329da10b5e95d325091e599d8a00a28843a54bdcefa7a2eef8d","md5":"bcf45b6c4c56884ed2409f835571af62","sha256":"705d772b6994f8bab0cd163b24602009353f7906c72d9db008af11683f6e9341"},"downloads":-1,"filename":"agentops-0.3.22.tar.gz","has_sig":false,"md5_digest":"bcf45b6c4c56884ed2409f835571af62","packagetype":"sdist","python_version":"source","requires_python":"<3.14,>=3.9","size":52845,"upload_time":"2025-01-11T03:21:41","upload_time_iso_8601":"2025-01-11T03:21:41.762282Z","url":"https://files.pythonhosted.org/packages/e0/67/e61aa4c2e329da10b5e95d325091e599d8a00a28843a54bdcefa7a2eef8d/agentops-0.3.22.tar.gz","yanked":true,"yanked_reason":"Broken
+        dependency"}],"0.3.23":[{"comment_text":null,"digests":{"blake2b_256":"e67de1434765cf0a3d62372b74f47919aa17c0b01909823f7d3ee705edf821a9","md5":"1f0f02509b8ba713db72e57a072f01a6","sha256":"ecfff77d8f9006361ef2a2e8593271e97eb54b7b504abfb8abd6504006baca56"},"downloads":-1,"filename":"agentops-0.3.23-py3-none-any.whl","has_sig":false,"md5_digest":"1f0f02509b8ba713db72e57a072f01a6","packagetype":"bdist_wheel","python_version":"py3","requires_python":"<3.14,>=3.9","size":70098,"upload_time":"2025-01-12T02:11:56","upload_time_iso_8601":"2025-01-12T02:11:56.319763Z","url":"https://files.pythonhosted.org/packages/e6/7d/e1434765cf0a3d62372b74f47919aa17c0b01909823f7d3ee705edf821a9/agentops-0.3.23-py3-none-any.whl","yanked":false,"yanked_reason":null},{"comment_text":null,"digests":{"blake2b_256":"5c7fa4fd91f8fd819e1ecfdc608d1c7ade83de0f9dddd868e2c2c139a2fdae25","md5":"b7922399f81fb26517eb69fc7fef97c9","sha256":"4e4de49caeaf567b8746082f84a8cdd65afe2c698720f6f40251bbc4fdffe4c9"},"downloads":-1,"filename":"agentops-0.3.23.tar.gz","has_sig":false,"md5_digest":"b7922399f81fb26517eb69fc7fef97c9","packagetype":"sdist","python_version":"source","requires_python":"<3.14,>=3.9","size":64225,"upload_time":"2025-01-12T02:11:59","upload_time_iso_8601":"2025-01-12T02:11:59.360077Z","url":"https://files.pythonhosted.org/packages/5c/7f/a4fd91f8fd819e1ecfdc608d1c7ade83de0f9dddd868e2c2c139a2fdae25/agentops-0.3.23.tar.gz","yanked":false,"yanked_reason":null}],"0.3.24":[{"comment_text":null,"digests":{"blake2b_256":"254ea7d131802bac2ece5302ebf78dcef1ba1ba2f8b3a51fbe44c7f52bae6a53","md5":"39c39d8a7f1285add0fec21830a89a4a","sha256":"c5dfc8098b0dd49ddd819aa55280d07f8bfbf2f8fa088fc51ff5849b65062b10"},"downloads":-1,"filename":"agentops-0.3.24-py3-none-any.whl","has_sig":false,"md5_digest":"39c39d8a7f1285add0fec21830a89a4a","packagetype":"bdist_wheel","python_version":"py3","requires_python":"<3.14,>=3.9","size":71957,"upload_time":"2025-01-18T19:08:02","upload_time_iso_8601":"2025-01-18T19:08:02.053316Z","url":"https://files.pythonhosted.org/packages/25/4e/a7d131802bac2ece5302ebf78dcef1ba1ba2f8b3a51fbe44c7f52bae6a53/agentops-0.3.24-py3-none-any.whl","yanked":false,"yanked_reason":null},{"comment_text":null,"digests":{"blake2b_256":"71fee96e22c4bf762f34cd5ba435880470dad4576ab357ee61742fe053752322","md5":"3e1b7e0a31197936e099a7509128f794","sha256":"c97a3af959b728bcfbfb1ac2494cef82d8804defc9dac858648b39a9ecdcd2e4"},"downloads":-1,"filename":"agentops-0.3.24.tar.gz","has_sig":false,"md5_digest":"3e1b7e0a31197936e099a7509128f794","packagetype":"sdist","python_version":"source","requires_python":"<3.14,>=3.9","size":233974,"upload_time":"2025-01-18T19:08:04","upload_time_iso_8601":"2025-01-18T19:08:04.121618Z","url":"https://files.pythonhosted.org/packages/71/fe/e96e22c4bf762f34cd5ba435880470dad4576ab357ee61742fe053752322/agentops-0.3.24.tar.gz","yanked":false,"yanked_reason":null}],"0.3.25":[{"comment_text":null,"digests":{"blake2b_256":"e6e39cff4ed65c5deac34f427ed60cd7af3604ec7ed8a999c351f6411e190d3b","md5":"328dedc417be02fc28f8a4c7ed7b52e9","sha256":"4faebf73a62aa0bcac8578428277ca5b9af5e828f49f2cb03a9695b8426e6b9d"},"downloads":-1,"filename":"agentops-0.3.25-py3-none-any.whl","has_sig":false,"md5_digest":"328dedc417be02fc28f8a4c7ed7b52e9","packagetype":"bdist_wheel","python_version":"py3","requires_python":"<3.14,>=3.9","size":71971,"upload_time":"2025-01-22T10:43:16","upload_time_iso_8601":"2025-01-22T10:43:16.070593Z","url":"https://files.pythonhosted.org/packages/e6/e3/9cff4ed65c5deac34f427ed60cd7af3604ec7ed8a999c351f6411e190d3b/agentops-0.3.25-py3-none-any.whl","yanked":false,"yanked_reason":null},{"comment_text":null,"digests":{"blake2b_256":"2fdfeb00eaabebb51feae0724a5928f25df4d71d1c8392204f4f849351fd748c","md5":"a40bc7037baf6dbba92d63331f561a28","sha256":"868d855b6531d1fa2d1047db2cb03ddb1121062fd51c44b564dc626f15cc1e40"},"downloads":-1,"filename":"agentops-0.3.25.tar.gz","has_sig":false,"md5_digest":"a40bc7037baf6dbba92d63331f561a28","packagetype":"sdist","python_version":"source","requires_python":"<3.14,>=3.9","size":234024,"upload_time":"2025-01-22T10:43:17","upload_time_iso_8601":"2025-01-22T10:43:17.986230Z","url":"https://files.pythonhosted.org/packages/2f/df/eb00eaabebb51feae0724a5928f25df4d71d1c8392204f4f849351fd748c/agentops-0.3.25.tar.gz","yanked":false,"yanked_reason":null}],"0.3.26":[{"comment_text":null,"digests":{"blake2b_256":"f521671c458951850bd3a445aa09eafd2793aae1104fa68351a5c3976cdf762b","md5":"c3f8fa92ff5a94a37516e774c7f58b9a","sha256":"20948f52e3ffb4ba1d52301c3a82e59490182c4dad22774ad831dce0181eb5c2"},"downloads":-1,"filename":"agentops-0.3.26-py3-none-any.whl","has_sig":false,"md5_digest":"c3f8fa92ff5a94a37516e774c7f58b9a","packagetype":"bdist_wheel","python_version":"py3","requires_python":"<3.14,>=3.9","size":72090,"upload_time":"2025-01-24T23:44:06","upload_time_iso_8601":"2025-01-24T23:44:06.828461Z","url":"https://files.pythonhosted.org/packages/f5/21/671c458951850bd3a445aa09eafd2793aae1104fa68351a5c39Line truncated
+        FileNotFoundError impacting OpenAI and LiteLLM integrations"},{"comment_text":"","digests":{"blake2b_256":"235508ce5915f1ceb86ea6f7a6e8c8dc025b34981408a1b638316b5140fad525","md5":"53ef2f5230de09260f4ead09633dde62","sha256":"ae98540355ce9b892a630e61a7224a9175657cad1b7e799269238748ca7bc0ea"},"downloads":-1,"filename":"agentops-0.3.5.tar.gz","has_sig":false,"md5_digest":"53ef2f5230de09260f4ead09633dde62","packagetype":"sdist","python_version":"source","requires_python":">=3.7","size":42699,"upload_time":"2024-08-01T19:32:21","upload_time_iso_8601":"2024-08-01T19:32:21.259555Z","url":"https://files.pythonhosted.org/packages/23/55/08ce5915f1ceb86ea6f7a6e8c8dc025b34981408a1b638316b5140fad525/agentops-0.3.5.tar.gz","yanked":true,"yanked_reason":"Introduces
+        FileNotFoundError impacting OpenAI and LiteLLM integrations"}],"0.3.6":[{"comment_text":"","digests":{"blake2b_256":"be89412afc864df3715d377cff9fe15deadaccdc0902b0a242f742f286e6d84b","md5":"149922f5cd986a8641b6e88c991af0cc","sha256":"413f812eb015fb31175a507784afe08123adfa9e227870e315899b059f42b443"},"downloads":-1,"filename":"agentops-0.3.6-py3-none-any.whl","has_sig":false,"md5_digest":"149922f5cd986a8641b6e88c991af0cc","packagetype":"bdist_wheel","python_version":"py3","requires_python":">=3.7","size":39431,"upload_time":"2024-08-02T06:48:19","upload_time_iso_8601":"2024-08-02T06:48:19.594149Z","url":"https://files.pythonhosted.org/packages/be/89/412afc864df3715d377cff9fe15deadaccdc0902b0a242f742f286e6d84b/agentops-0.3.6-py3-none-any.whl","yanked":false,"yanked_reason":null},{"comment_text":"","digests":{"blake2b_256":"c3bf85f1439c3951ef69c81dbd7ef6df8a11df957e8d1180d835d71c11fa5131","md5":"b68d3124e365867f891bec4fb211a398","sha256":"0941f2486f3a561712ba6f77d560b49e2df55be141f243da0f9dc97ed43e6968"},"downloads":-1,"filename":"agentops-0.3.6.tar.gz","has_sig":false,"md5_digest":"b68d3124e365867f891bec4fb211a398","packagetype":"sdist","python_version":"source","requires_python":">=3.7","size":42933,"upload_time":"2024-08-02T06:48:21","upload_time_iso_8601":"2024-08-02T06:48:21.508300Z","url":"https://files.pythonhosted.org/packages/c3/bf/85f1439c3951ef69c81dbd7ef6df8a11df957e8d1180d835d71c11fa5131/agentops-0.3.6.tar.gz","yanked":false,"yanked_reason":null}],"0.3.7":[{"comment_text":"","digests":{"blake2b_256":"a34d05ba61e4fbd976dabe736d74fb2bb14d064ca758f05f084c0dadb6ac5cb1","md5":"551df1e89278270e0f5522d41f5c28ae","sha256":"7eeec5bef41e9ba397b3d880bcec8cd0818209ab31665c85e8b97615011a23d9"},"downloads":-1,"filename":"agentops-0.3.7-py3-none-any.whl","has_sig":false,"md5_digest":"551df1e89278270e0f5522d41f5c28ae","packagetype":"bdist_wheel","python_version":"py3","requires_python":">=3.7","size":39816,"upload_time":"2024-08-08T23:21:45","upload_time_iso_8601":"2024-08-08T23:21:45.035395Z","url":"https://files.pythonhosted.org/packages/a3/4d/05ba61e4fbd976dabe736d74fb2bb14d064ca758f05f084c0dadb6ac5cb1/agentops-0.3.7-py3-none-any.whl","yanked":false,"yanked_reason":null},{"comment_text":"","digests":{"blake2b_256":"9f31034c3e062287f4fe9f57f2448e9508617a26bbb8a16b11c77cda9b28e1c0","md5":"1c48a797903a25988bae9b72559307ec","sha256":"048ee3caa5edf01b98c994e4e3ff90c09d83f820a43a70f07db96032c3386750"},"downloads":-1,"filename":"agentops-0.3.7.tar.gz","has_sig":false,"md5_digest":"1c48a797903a25988bae9b72559307ec","packagetype":"sdist","python_version":"source","requires_python":">=3.7","size":43495,"upload_time":"2024-08-08T23:21:46","upload_time_iso_8601":"2024-08-08T23:21:46.798531Z","url":"https://files.pythonhosted.org/packages/9f/31/034c3e062287f4fe9f57f2448e9508617a26bbb8a16b11c77cda9b28e1c0/agentops-0.3.7.tar.gz","yanked":false,"yanked_reason":null}],"0.3.9":[{"comment_text":"","digests":{"blake2b_256":"660ce931f892e0cedd40d861c3deff4134e1af1d226d6dc9762b32514d6dbc9f","md5":"82792de7bccabed058a24d3bd47443db","sha256":"582c9ddb30a9bb951b4d3ee2fd0428ba77d4a4367950b9cc6043f45b10bf12d8"},"downloads":-1,"filename":"agentops-0.3.9-py3-none-any.whl","has_sig":false,"md5_digest":"82792de7bccabed058a24d3bd47443db","packagetype":"bdist_wheel","python_version":"py3","requires_python":">=3.7","size":40235,"upload_time":"2024-08-15T21:21:33","upload_time_iso_8601":"2024-08-15T21:21:33.468748Z","url":"https://files.pythonhosted.org/packages/66/0c/e931f892e0cedd40d861c3deff4134e1af1d226d6dc9762b32514d6dbc9f/agentops-0.3.9-py3-none-any.whl","yanked":false,"yanked_reason":null},{"comment_text":"","digests":{"blake2b_256":"e17b68cef3aaf44d423046b7779e9325e4feef5257e6d784a55c9dadf84bd61a","md5":"470f3b2663b71eb2f1597903bf8922e7","sha256":"7c999edbc64196924acdb06da09ec664a09d9fec8e73ba4e0f89e5f3dafc79e5"},"downloads":-1,"filename":"agentops-0.3.9.tar.gz","has_sig":false,"md5_digest":"470f3b2663b71eb2f1597903bf8922e7","packagetype":"sdist","python_version":"source","requires_python":">=3.7","size":43796,"upload_time":"2024-08-15T21:21:34","upload_time_iso_8601":"2024-08-15T21:21:34.591272Z","url":"https://files.pythonhosted.org/packages/e1/7b/68cef3aaf44d423046b7779e9325e4feef5257e6d784a55c9dadf84bd61a/agentops-0.3.9.tar.gz","yanked":false,"yanked_reason":null}],"0.4.0":[{"comment_text":null,"digests":{"blake2b_256":"060e66184fab1fc3bdd955ac20ea7bdef78f5b9aecc4080ea3e054c2a2436991","md5":"250de44e3599992c75625cef67682ecd","sha256":"b4821b8ec69c05a4d13b34eaad4762bb06a4f14e1241d57c16fdd28de5c8c929"},"downloads":-1,"filename":"agentops-0.4.0-py3-none-any.whl","has_sig":false,"md5_digest":"250de44e3599992c75625cef67682ecd","packagetype":"bdist_wheel","python_version":"py3","requires_python":"<3.14,>=3.9","size":171419,"upload_time":"2025-03-13T11:24:15","upload_time_iso_8601":"2025-03-13T11:24:15.042606Z","url":"https://files.pythonhosted.org/packages/06/0e/66184fab1fc3bdd955ac20ea7bdef78f5b9aecc4080ea3e054c2a2436991/agentopLine truncated
+        dependencies"},{"comment_text":null,"digests":{"blake2b_256":"ff7f8a57d060489c780db3e15c4d9ff8c670e5db583549c74dd2d32ae6ec10c0","md5":"ea0932849a7311750c6ac0e567c90182","sha256":"45f5367cecd8a0b648055b6ec76e8a6a2801425e80dede8f86b39e9c6cfe1d98"},"downloads":-1,"filename":"agentops-0.4.0.tar.gz","has_sig":false,"md5_digest":"ea0932849a7311750c6ac0e567c90182","packagetype":"sdist","python_version":"source","requires_python":"<3.14,>=3.9","size":248757,"upload_time":"2025-03-13T11:24:16","upload_time_iso_8601":"2025-03-13T11:24:16.866033Z","url":"https://files.pythonhosted.org/packages/ff/7f/8a57d060489c780db3e15c4d9ff8c670e5db583549c74dd2d32ae6ec10c0/agentops-0.4.0.tar.gz","yanked":true,"yanked_reason":"broken
+        dependencies"}],"0.4.1":[{"comment_text":null,"digests":{"blake2b_256":"736e7ab03c56260ec59bfaeeb08efb76f55ec6153861ad2a9cf20b38b222e4e7","md5":"3fcebe0141ca19b2fbcb53e918003ce9","sha256":"69c944e22628bc0f52c534007d2453da2a1988a7fd1f993720c4a15b0f70465a"},"downloads":-1,"filename":"agentops-0.4.1-py3-none-any.whl","has_sig":false,"md5_digest":"3fcebe0141ca19b2fbcb53e918003ce9","packagetype":"bdist_wheel","python_version":"py3","requires_python":"<3.14,>=3.9","size":171402,"upload_time":"2025-03-13T16:29:26","upload_time_iso_8601":"2025-03-13T16:29:26.477091Z","url":"https://files.pythonhosted.org/packages/73/6e/7ab03c56260ec59bfaeeb08efb76f55ec6153861ad2a9cf20b38b222e4e7/agentops-0.4.1-py3-none-any.whl","yanked":true,"yanked_reason":"Broken
+        dependencies"},{"comment_text":null,"digests":{"blake2b_256":"ca303217cd3480ad099ffa92848ccbc8672e5232c22918c95a4b99e49c0ef31e","md5":"ec421fa88b575b827fc0d3fd02f45515","sha256":"fec044f0346dca6aba17e458e669ac1f52f1b618a4a15b43342615096c5e7d56"},"downloads":-1,"filename":"agentops-0.4.1.tar.gz","has_sig":false,"md5_digest":"ec421fa88b575b827fc0d3fd02f45515","packagetype":"sdist","python_version":"source","requires_python":"<3.14,>=3.9","size":248747,"upload_time":"2025-03-13T16:29:27","upload_time_iso_8601":"2025-03-13T16:29:27.905694Z","url":"https://files.pythonhosted.org/packages/ca/30/3217cd3480ad099ffa92848ccbc8672e5232c22918c95a4b99e49c0ef31e/agentops-0.4.1.tar.gz","yanked":true,"yanked_reason":"Broken
+        dependencies"}],"0.4.10":[{"comment_text":null,"digests":{"blake2b_256":"301e0fe4fb617a5a69a8692b571d726f03e713a37d94d6a43c595a08fc33cff3","md5":"5ac7ec12e80bae6946dc10e46ef768f7","sha256":"917ad7ad51af0ca00cace2a3ae1d1d36e0d65dc813e030fcd377ff98535002bd"},"downloads":-1,"filename":"agentops-0.4.10-py3-none-any.whl","has_sig":false,"md5_digest":"5ac7ec12e80bae6946dc10e46ef768f7","packagetype":"bdist_wheel","python_version":"py3","requires_python":"<3.14,>=3.9","size":198777,"upload_time":"2025-05-08T20:37:29","upload_time_iso_8601":"2025-05-08T20:37:29.322288Z","url":"https://files.pythonhosted.org/packages/30/1e/0fe4fb617a5a69a8692b571d726f03e713a37d94d6a43c595a08fc33cff3/agentops-0.4.10-py3-none-any.whl","yanked":false,"yanked_reason":null},{"comment_text":null,"digests":{"blake2b_256":"a0ef0a56be3981bd464ad5a22fa3a859421f4b5560cbbb082f3ef9aca9cdb1a7","md5":"1954d07bfa38ba5c5ce0e516b7dbfdc9","sha256":"b66a48b4ec50c9cb34abc6ff1df873f0dcddbbb528d8a8c0527cb97b24c91b36"},"downloads":-1,"filename":"agentops-0.4.10.tar.gz","has_sig":false,"md5_digest":"1954d07bfa38ba5c5ce0e516b7dbfdc9","packagetype":"sdist","python_version":"source","requires_python":"<3.14,>=3.9","size":284727,"upload_time":"2025-05-08T20:37:30","upload_time_iso_8601":"2025-05-08T20:37:30.744217Z","url":"https://files.pythonhosted.org/packages/a0/ef/0a56be3981bd464ad5a22fa3a859421f4b5560cbbb082f3ef9aca9cdb1a7/agentops-0.4.10.tar.gz","yanked":false,"yanked_reason":null}],"0.4.11":[{"comment_text":null,"digests":{"blake2b_256":"35cde66dea05d2d8070f886e8f4ce86905cf1cce2f89622e041f26e39f717c9e","md5":"20424d54ba76517d586d4bcc92dda3bf","sha256":"b08c84fd69f36fcd5d6f2b14d16ff88b977a9a417d92448c9709f3c7990d6438"},"downloads":-1,"filename":"agentops-0.4.11-py3-none-any.whl","has_sig":false,"md5_digest":"20424d54ba76517d586d4bcc92dda3bf","packagetype":"bdist_wheel","python_version":"py3","requires_python":"<3.14,>=3.9","size":198789,"upload_time":"2025-05-12T20:38:29","upload_time_iso_8601":"2025-05-12T20:38:29.202046Z","url":"https://files.pythonhosted.org/packages/35/cd/e66dea05d2d8070f886e8f4ce86905cf1cce2f89622e041f26e39f717c9e/agentops-0.4.11-py3-none-any.whl","yanked":false,"yanked_reason":null},{"comment_text":null,"digests":{"blake2b_256":"349df76fc1760cb21788967db3dd22ff2e6521c42b8ecee152e6ac4278e7cade","md5":"b7affd8b15834e4f9cb63066d7d160d1","sha256":"6eb80ee4a0653f9bdc9fc7641bf60cb7546cd34ff1c04dfbc4fca77dbb07edda"},"downloads":-1,"filename":"agentops-0.4.11.tar.gz","has_sig":false,"md5_digest":"b7affd8b15834e4f9cb63066d7d160d1","packagetype":"sdist","python_version":"source","requires_python":"<3.14,>=3.9","size":284735,"upload_time":"2025-05-12T20:38:30","upload_time_iso_8601":"2025-05-12T20:38:30.393540Z","url":"https://files.pythonhosted.org/packages/34/9d/f76fc1760cb21788967db3dd22ff2e6521c42b8ecee152e6ac4278e7cade/agentops-0.4.11.tar.gz","yanked":false,"yanked_reason":null}],"0.4.12":[{"comment_text":null,"digests":{"blake2b_256":"eb86772ed94e4e55433e8014933dab08aa6dfbcd8072f7fd74ffcad335ba0e73","md5":"831a3d54bccce09cc6c2a352776d02e6","sha256":"7c2685ae9c9de1a1071f6a29d395444191744d5ee58e33c020a69e2388dc2f7c"},"downloads":-1,"filename":"agentops-0.4.12-py3-none-any.whl","has_sig":false,"md5_digest":"831a3d54bccce09cc6c2a352776d02e6","packagetype":"bdist_wheel","python_version":"py3","requires_python":"<3.14,>=3.9","size":198319,"upload_time":"2025-05-15T19:59:27","upload_time_iso_8601":"2025-05-15T19:59:27.609093Z","url":"https://files.pythonhosted.org/packages/eb/86/772ed94e4e55433e8014933dab08aa6dfbcd8072f7fd74ffcad335ba0e73/agentops-0.4.12-py3-none-any.whl","yanked":false,"yanked_reason":null},{"comment_text":null,"digests":{"blake2b_256":"0cf664cea8e916a305d2dc2f3f3840a1d4cae40e1927892e1fcc11f83ec7ebee","md5":"7e97e0612a6e8544b37a2fa2e1633166","sha256":"530f15d428a4c78db918fa766366c8f11105c4d1d3b1a56de027747d805a573f"},"downloads":-1,"filename":"agentops-0.4.12.tar.gz","has_sig":false,"md5_digest":"7e97e0612a6e8544b37a2fa2e1633166","packagetype":"sdist","python_version":"source","requires_python":"<3.14,>=3.9","size":284309,"upload_time":"2025-05-15T19:59:28","upload_time_iso_8601":"2025-05-15T19:59:28.955745Z","url":"https://files.pythonhosted.org/packages/0c/f6/64cea8e916a305d2dc2f3f3840a1d4cae40e1927892e1fcc11f83ec7ebee/agentops-0.4.12.tar.gz","yanked":false,"yanked_reason":null}],"0.4.13":[{"comment_text":null,"digests":{"blake2b_256":"637f1514550d55e8ba0e2aef4f652678413e9979f4f6c019d8032cfd9fade10e","md5":"ddea9230651973616b50a1f089657999","sha256":"256cfcd4eb257d0a3c9538bd461ffe1dceb15cd0627b405b45d99661d8925247"},"downloads":-1,"filename":"agentops-0.4.13-py3-none-any.whl","has_sig":false,"md5_digest":"ddea9230651973616b50a1f089657999","packagetype":"bdist_wheel","python_version":"py3","requires_python":"<3.14,>=3.9","size":214973,"upload_time":"2025-05-27T22:32:40","upload_time_iso_8601":"2025-05-27T22:32:40.986531Z","url":"https://files.pythonhosted.org/packages/63/7f/1514550d55e8ba0e2aef4f652678413e9979f4f6c019Line truncated
+
+        '
+    headers:
+      Accept-Ranges:
+      - bytes
+      Connection:
+      - keep-alive
+      Content-Length:
+      - '144138'
+      Date:
+      - Fri, 13 Jun 2025 21:45:33 GMT
+      Permissions-Policy:
+      - publickey-credentials-create=(self),publickey-credentials-get=(self),accelerometer=(),ambient-light-sensor=(),autoplay=(),battery=(),camera=(),display-capture=(),document-domain=(),encrypted-media=(),execution-while-not-rendered=(),execution-while-out-of-viewport=(),fullscreen=(),gamepad=(),geolocation=(),gyroscope=(),hid=(),identity-credentials-get=(),idle-detection=(),local-fonts=(),magnetometer=(),microphone=(),midi=(),otp-credentials=(),payment=(),picture-in-picture=(),screen-wake-lock=(),serial=(),speaker-selection=(),storage-access=(),usb=(),web-share=(),xr-spatial-tracking=()
+      Strict-Transport-Security:
+      - max-age=31536000; includeSubDomains; preload
+      Vary:
+      - Accept-Encoding
+      X-Cache:
+      - MISS, HIT, HIT
+      X-Cache-Hits:
+      - 0, 218, 0
+      X-Content-Type-Options:
+      - nosniff
+      X-Frame-Options:
+      - deny
+      X-Permitted-Cross-Domain-Policies:
+      - none
+      X-Served-By:
+      - cache-iad-kjyo7100125-IAD, cache-iad-kjyo7100044-IAD, cache-sjc1000145-SJC
+      X-Timer:
+      - S1749851133.469910,VS0,VE4
+      X-XSS-Protection:
+      - 1; mode=block
+      access-control-allow-headers:
+      - Content-Type, If-Match, If-Modified-Since, If-None-Match, If-Unmodified-Since
+      access-control-allow-methods:
+      - GET
+      access-control-allow-origin:
+      - '*'
+      access-control-expose-headers:
+      - X-PyPI-Last-Serial
+      access-control-max-age:
+      - '86400'
+      cache-control:
+      - max-age=900, public
+      content-security-policy:
+      - base-uri 'self'; connect-src 'self' https://api.github.com/repos/ https://api.github.com/search/issues
+        https://gitlab.com/api/ https://analytics.python.org fastly-insights.com *.fastly-insights.com
+        *.ethicalads.io https://api.pwnedpasswords.com https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/sre/mathmaps/
+        https://2p66nmmycsj3.statuspage.io; default-src 'none'; font-src 'self' fonts.gstatic.com;
+        form-action 'self' https://checkout.stripe.com; frame-ancestors 'none'; frame-src
+        'none'; img-src 'self' https://pypi-camo.freetls.fastly.net/ *.fastly-insights.com
+        *.ethicalads.io ethicalads.blob.core.windows.net; script-src 'self' https://analytics.python.org
+        *.fastly-insights.com *.ethicalads.io 'sha256-U3hKDidudIaxBDEzwGJApJgPEf2mWk6cfMWghrAa6i0='
+        https://cdn.jsdelivr.net/npm/mathjax@3.2.2/ 'sha256-1CldwzdEg2k1wTmf7s5RWVd7NMXI/7nxxjJM2C4DqII='
+        'sha256-0POaN8stWYQxhzjKS+/eOfbbJ/u4YHO5ZagJvLpMypo='; style-src 'self' fonts.googleapis.com
+        *.ethicalads.io 'sha256-2YHqZokjiizkHi1Zt+6ar0XJ0OeEy/egBnlm+MDMtrM=' 'sha256-47DEQpj8HBSa+/TImW+5JCeuQeRkm5NMpJWZG3hSuFU='
+        'sha256-JLEjeN9e5dGsz5475WyRaoA4eQOdNPxDIeUhclnJDCE=' 'sha256-mQyxHEuwZJqpxCw3SLmc4YOySNKXunyu2Oiz1r3/wAE='
+        'sha256-OCf+kv5Asiwp++8PIevKBYSgnNLNUZvxAp4a7wMLuKA=' 'sha256-h5LOiLhk6wiJrGsG5ItM0KimwzWQH/yAcmoJDJL//bY=';
+        worker-src *.fastly-insights.com
+      content-type:
+      - application/json
+      etag:
+      - '"Y8GjfV78FNBfXxzJ4cp5Yg"'
+      referrer-policy:
+      - origin-when-cross-origin
+      x-pypi-last-serial:
+      - '29355868'
+    status:
+      code: 200
+      message: OK
 version: 1

tests/cassettes/test_using_contextual_memory.yaml

@@ -199,4 +199,833 @@ interactions:
       - req_2ac1e3cef69e9b09b7ade0e1d010fc08
     http_version: HTTP/1.1
     status_code: 200
+- request:
+    body: '{"input": ["I now can give a great answer. Final Answer:  **Topic**: Basic
+      Addition  **Explanation**: Addition is a fundamental concept in math that means
+      combining two or more numbers to get a new total. It''s like putting together
+      pieces of a puzzle to see the whole picture. When we add, we take two or more
+      groups of things and count them all together.  **Angle**: Use relatable and
+      engaging real-life scenarios to illustrate addition, making it fun and easier
+      for a 6-year-old to understand and apply.  **Examples**:  1. **Counting Apples**:    Let''s
+      say you have 2 apples and your friend gives you 3 more apples. How many apples
+      do you have in total?    - You start with 2 apples.    - Your friend gives you
+      3 more apples.    - Now, you count all the apples together: 2 + 3 = 5.    -
+      So, you have 5 apples in total.  2. **Toy Cars**:    Imagine you have 4 toy
+      cars and you find 2 more toy cars in your room. How many toy cars do you have
+      now?    - You start with 4 toy cars.    - You find 2 more toy cars.    - You
+      count them all together: 4 + 2 = 6.    - So, you have 6 toy cars in total.  3.
+      **Drawing Pictures**:    If you draw 3 pictures today and 2 pictures tomorrow,
+      how many pictures will you have drawn in total?    - You draw 3 pictures today.    -
+      You draw 2 pictures tomorrow.    - You add them together: 3 + 2 = 5.    - So,
+      you will have drawn 5 pictures in total.  4. **Using Fingers**:    Let''s use
+      your fingers to practice addition. Show 3 fingers on one hand and 1 finger on
+      the other hand. How many fingers are you holding up?    - 3 fingers on one hand.    -
+      1 finger on the other hand.    - Put them together and count: 3 + 1 = 4.    -
+      So, you are holding up 4 fingers.  By using objects that kids are familiar with,
+      such as apples, toy cars, drawings, and even their own fingers, we can make
+      the concept of addition relatable and enjoyable. Practicing with real items
+      helps children visualize the math and understand that addition is simply combining
+      groups to find out how many there are altogether."], "model": "text-embedding-3-small",
+      "encoding_format": "base64"}'
+    headers:
+      accept:
+      - application/json
+      accept-encoding:
+      - gzip, deflate, zstd
+      connection:
+      - keep-alive
+      content-length:
+      - '2092'
+      content-type:
+      - application/json
+      host:
+      - api.openai.com
+      user-agent:
+      - OpenAI/Python 1.78.0
+      x-stainless-arch:
+      - arm64
+      x-stainless-async:
+      - 'false'
+      x-stainless-lang:
+      - python
+      x-stainless-os:
+      - MacOS
+      x-stainless-package-version:
+      - 1.78.0
+      x-stainless-read-timeout:
+      - '600'
+      x-stainless-retry-count:
+      - '0'
+      x-stainless-runtime:
+      - CPython
+      x-stainless-runtime-version:
+      - 3.12.9
+    method: POST
+    uri: https://api.openai.com/v1/embeddings
+  response:
+    body:
+      string: !!binary |
+        H4sIAAAAAAAAA1SaSw+yTrfl5++nePKf0idyEarqnXEXASkEr51OBxAREJFLFVAn57t38OmcTk8c
+        IBGE2muv9dv1n//68+efNq3ybPzn33/+eZfD+M//WI89kjH5599//ue//vz58+c/f5//35l5k+aP
+        R/kpfqf/viw/j3z+599/+P8+8v9O+veff+ZECgOidjuPT/hggOYz8/B5WXJjKhdrgcXu+QpqzjpU
+        fHRkJbTCW4nP3zI23k+iNugeb0qq9aECplduqMgw4oEQ79P11KnpRe7JhmCtVCkjaRmdQPymFnlr
+        alLNxrOD0FHcF7aCU+zx4if3AdioPj4Y2K+W8UIT2IeKGkz3BnhfmzMXhMhxhw/EruKFp/kWHL5S
+        Rd399RvP3VZSAdhPHc2G/mvQ7ZJPECZiSrWnMXjLt25zkGDgYS1J7X4e5CVBrDtrNIqXOObbdEhg
+        ROwPxh/vyKb6ClTY3d0d9UThysbDPCwwwwnEKvAoYO0YdUhr0iGY+TruhV2VnaAT4xrbtfoFQywZ
+        KozwpAdXsNlVAhNFE87oqWHTwbAfzlrpoFZo1GB5DAmTpjsNAZeNO5yk8SedYWISNNrcg+KxbEC2
+        C4sJ9dXtQk+NdKgk+XtbIH+J+gCiAqXU6h86VKTwRC/vsUynp+tE6P60Q6py75e3zCGywe65SMH2
+        ethV/FLVIthevw69JLYe88BmOVTVvAvGgtcqnhNLHbXz/h7wdW2nou/vM9jm1QcHlhIZ00s+OrBi
+        QkSfwsiBiVotQSdU37A6uDmYLevmQzxFEd7nxdJTgNISnqOhoImdvPvFfNEcpqpQYtuzjh4f3r4+
+        CM5KS+Y+VBizw6H5+z6vocWDIVgYROWyhThwhI2x8PSigNcMG+yj4pHOvfsqlfen4OnFferp0m0P
+        BXQsNaHnk6FXYsjXLcKhltFry12qqZNuPqxvAoeNnXz25nl4qjDUlxbvz8HEFul5KEGjcg71d9Wr
+        J49BTqARKjMNqH6PheNO7dD1MX+pIfQ3JpzdRYeNNXLY/AZ6NRePYwl3pmlS3XOu3nD2DqLiwFbC
+        l1ta9PzEpwoUIiAEKLo/PSkLM1P+trNIxm1z7ykpThw6yJDDYWQ4vRhvXglyVasmUOOXeIzFYwFP
+        cuzTdT1V88OJE2TfnATne+gwiRZKB+F4mQOFM2WwlGflBKO+PmJf45d0fkh2A0vd1PDxMzqxSK/d
+        BD/TwaCPQBwq3qNFCEmS7rGWaueUdVlfw3PouzivjachVAfVhZcr1KkT2Q828dnGAbODn2QWvnYv
+        GMElQFonxngv3U+pVNC4gVKZNuSSkA+QhjPawn5oGFXtrK2Wx7GK0A4ML3y+cDQeQHh14TeeXRzG
+        08ug+CsvUDFfDtk+rFssHIWLA9vZu2M3+pzSuXkVNTpPoMO7d1p7U+/FOrzdRYL3U/7piXfGGbix
+        UKdHGs39OJzVGrG8PeDw0c5sycqtDvnmZuM7oVtv7rYbFV4jU6RxWpdVS54sQ6Nwe/zepyFwqWMj
+        EJsV3d32eirQl8TBjmg3et9/dxX/yg0dvnMf4IPLC2zOhk8Ji86K6HOvW5449e8SNaKN6eFEHjHv
+        yR4EBbt7+EbSXb+g8QGh38oH7Jbinc0mew9IAmNOw+3W6dnTNW20i44BPUWqXkmc5BVw9CRC7etc
+        G0s5OzlsP1KBD+ZTYmycvwPwkvNCd35ZpkxhkYMeYU6wZWZlz+rvK4L32kb0AHWtEk/biw7N3t0E
+        pfjOKnYwzQbdx2NCVW+IK0l9mDXyNE3BVqraHo0d+QLrk+1gk1ZqJV5bs4NvxXCpWn/8mE/54Qat
+        e73BGl/HFf/Y+1u4JVmHb9rxWy1m4N7AkKoMa2QoGTvHYQLbiMNUhxedSUyYJhQr40xKeTOy6SS1
+        A8jApcGH/OH30/c9LoCiTYgDaTj3bJOlNrL2z5p6THGB8MaiA/2Hf8fnu5yl/EnzM/DuRRVj7zyk
+        0+tDCLgkF4T30JgYm17hBblhsCEKs56p4D1KHQmRLOBdJBUxFWIeovFbBzgOQtcQV32F7qnwsHeO
+        ZMaie3GDR7cssJoC2Vj20T2HQZxENIvdV7V4Xj+Bjfwc8L5NEu9Xj6AZpgtObtw+FdlxypB+D2N6
+        MV0zFfYjSxDpyhrr78lJJYDiAn08E2A36TUgnGW89uekDHripdWS2KQErplMBDrMZ9MzriBkVqBg
+        9XrM1nqVXEhx1+PoReZ+kA8vB8Yb9xZ0PB8AYeZV++//u+jpibGDUvDQsfQkgM9rmM6DrCSw8gMe
+        62v/EpRCuUGznUxq4bttvFXKnyDXaCp9uPwZTC9fDNHenyKcp+JkLFtFvoB0+9xg0yQFmzoXncDv
+        98yNq1ZS7+U8iIfy89OHfnCEKdpqjx3D1uLTeBFOJIdO4EvUKV5qKmaozRRyUwOalGHvsaj6Tkje
+        DjLdyySqFk3+KvADZJFi9day0boJIbraiY6NV8biqYY1j7Ran+m+LPexCHijRXXpSUSpkNEv0LEz
+        WFhmEwg23TO+c9EFXIxXSq/385NNxRbkqDzVV4qjU8OoJ48Z5EQ3pansXoxxYl0ClyII8PMFbMCP
+        58VE589nxpohDN6kA38Lq3Mxkhm2midJp+mEWl3kqb8zHzHlyTuBrcQB7Avnd7qkt5CDeRs0WKU1
+        BbN8mXU4vMRLMNDmzCQuOg7IO2cvmoqCBFjvXXiAU8fFjzhfDMZS9YS6z/mIdeHaprPQDAOEdsrT
+        nXzIPEm/5ArEp0tLlI1XVYM+GwU6+nJKcfOuPJ4EDYGin1dk+529lP3WI0z4FB+PsxtLrjopqHod
+        XtjIfCeeA4vWkAfJEkhH9wNoKS8tSgieSN+oRj9VhxSi0+NaBnz/2gOpdQoePbxcowfbn9IF3bdb
+        SJ+TjePeK3u2hN8Q1oe9izH/7PoJf8Pwr77GvCp5yyY2fHD4ZC1+bBu5mrYHL4OyUS80Izetl3b9
+        MkBOdFLqmP6lWuovssH7reYBr2+O8XTIZR96yXUJGHftAcMoF8HyvfUYX6CfsnZMOnTvlCcO1n4r
+        NP0XwlVvSHWXOm/5hKqKxEDK6WF3rNIZL4WLFi69YjMOLoAah5sCizzJqRnGncdIkXGA25EUO2/K
+        V/S4Ezhg7ewvtn2+6PmZO0cw7wikJslEMPB168OhdwJq3eUs5pHon6BbnBKK97plCEWDfPh4wCt2
+        IDpVdPWXCgmGM72qQI8ZheoEf3qmX3ZzNdVXpiMmagINci9I+QmXNqqI+KY+U3fevFR3HZ6F0xHv
+        dmER0w+nDagsYg87ihoC6RzfEqhz4YZsIxux71N7D4j2mUJmwJkVT8C+QY9PGAZbPG/6cWzfHYwT
+        /Yj11rIrNn6KC+AyuiMzF+tgEh9KATTZeFBtrYepa4wMICGwMNb7ySPbZ+9DJc0saq9+l46f9gLn
+        p5tRcyuUVce7OAHg3MhEOjhHb75/Y15ePNvGFrRFwJbwFYG1XnFoXc/VdNL8HNRjopJvdvBikaWZ
+        q1yMKqWed4tSWl85Hr7zAFD11Tk9w+jCK93negy4NHylS4gVHsovcA06QX6x9X5OcPXbVN0wIaaw
+        rExYqaWGD9HWiMnbKiBK81qjUSoWYNa81gcgS1KyHQg2pHisXDR6AqHuxjP6v/04r+QE4+ZteMLP
+        v7X37kIPVu0C/llPBCLve6GuFgOwTP1YKuN5/yHzsHHTyQBljXKrFqjxLQog3g/yFrYRxARMhcyW
+        8WAMIN9eNMK0+mpQWiwdaG5nir30I7HyV3/5mYTBIpkFYGz/2MLWwhRj4pyrJXJoBkQ/q9Z+6sdk
+        Q44XiOvcoMFz27DpM8QZkl/ylernlw4mKQ99eNudbvi+zASw2JkvaHvtHRrDjqV/+2UPh4BGTHc9
+        UUGfi8K3SkZ1H7+8KbsziHbO5vzLAx6Vv+EC62TBhH68GQz8PjHhYOs7MgXakU15nargg2+74Bhd
+        ZW+Y730OO2LcqMciKxV5etnCl3tyCODLsJqqpc+hbrclzVT6jJflGE2A7WiI93o3evOQ1yHkzvIb
+        H6L7xlvuX0eHN5PXcTi4HGDF6ZBBA/IJtcpq2887rswR2VISREzvjGWCS/Q3T9+tT8j4y/Q4AVWX
+        3mQq3uee321iCJf37hkoG8+o2JuVLbztLjdsfQ48G5qQtrD8vo2g0JMjWMKujxS+NJVgU+2BMbrb
+        KIN5N8AAOa+gJ30s3+DRGDgy7hutWrLjoQHqdrcjkbqHjDmp1/1dn0YUFYwmFlKBVW632PXMF5u/
+        qpsBVRfeRFIzzls0WpRo0jeIWr88/wnlAhhJ8MW2nvJsWjgFwp9/uHWbTV8f0UTAej80H/m3txAg
+        Kmjth1QlTwjI8Q4DGG+cGz1N89lYIqHVEfwab2xMD7Pib1/awbc5t9QASetNt8KDAC/fw/r8JsbY
+        ZnER+iJA/e9RAqPvnyNYeNOIrWfrVTS9bxbw6o0WmzvN8VhlHhdUGeoVW9Flz+bNlpTgvfcx2W6o
+        6k3SByjwfb3fycwUyRs4sVQhXK55AF9D0C+S1+YwcO076ZO7UUlL+ArR6m8p5q7Am992ksGLGH6w
+        phwHg73kjFP0vbPFp3N1NsZvTAu41hc9VVCtiHEYCJQa8UAOw71jc3rXMzTPU4B3d742WAKPEXI+
+        nYetfScC+mZdC3/Pe99YANBm987AqenTYDM9GBtXvyufP++ZTM9zFy96e3bBwt2veP9KN/20rjdo
+        MT3+63/YbVZ8+DjwkPQRAj05P8YG6FMPCDLwUC0vb4KoUgsN30X2rqbw9goQSqc5UK7SJiX3pSLw
+        GR02dNVXNjf25MDFXhTCe99DRV6KnYF8t5nIzz8J0w4XUAyEnGpdNxijGxcdbF7flnB72LJZsYYQ
+        8g/7QJjKtfHq37ZwrY/gUT6NeOUROUB6JtNjnOtAUoL2AnHquthhxsGjuaoTONjqjhrGEVfDY28q
+        8Bjzd4wfcugxf9IWxI7aHueKxsDS4O4El70n0MA/7jwxrtMQ6oJdEvPA9WDZS14It7OdUfd6nHp2
+        L945ZMMIsV/OWsXQTulgm7kD1rO8qSaPFtHPP2KvaaKUCTGE8Drd02B7FQ4GrZTwgqoraMm0069x
+        1z3ONjQ2h3Ow7BUd/OUJBxK5QfdQC29ESXeDMjhgbHdoTNf3FciOIJzx+XM4rfpxPkFjg8+klmzm
+        fSfW3ZTVb9PHYX/yFkHb36BPB0rjrT4ytjX3IaqbJg+mVa+Wbj+piseYjTXEcxVBlRJBO+dfeEcs
+        NRaeRK3RpH50aj+MxljurxxCrIlRgBPOMNgjAS5cogehh8dNrkhgcja8sOVIFHjfGmy6f0L443s7
+        MlpA5KKxVDRr8KkF8qOxXPMWwvKyiagbnkZvfn2iLZIBxj9+ELNV30FW37/0serZfFVcRanBkwbF
+        6WYD/g4iG9HnYmMruRX9rOWfBpZCLGE/px2Y1voFF/dQrv23ipn77gjIFmdP17zR0wQeQ/ispYl6
+        t6E3WiGeXUTr7w0b7JJUkw5MBU6c3NCTftd78SGebURBc6YWlY7GcJ2ADt/FGOFIC+1etG7eAqMo
+        vGN75WuDG8McgnMtU9vrn2yauXMID157x8+Mf3gLKEUF2m6q4AB/tXRqwk8HDVHf0l+9jzDxCfwm
+        zUB3e1tJZ99/hL98ToRT73h/n//1tr2Ry3vU46Xd3LYoTbyE2ppgG9M3cgi4lv6RJqPUG9O5STlo
+        DGRDpOvTYlI7Ji1Y+VfAUV1OZxpEChpt+KCPOI+87zEcLlDdRf7K9zgwK/jdoeoqt9iF95ux8qcb
+        MB8vheIdSL1lkNUtMNvFDDZZEMRLAKITyBB9UY0p19Wfez6smzoP0LVowShoyhY8HtyV6iQxeyE4
+        hB36LjtK0C8/RunTB4pZOQSsPHbZp4KDNvJjoJalz/HyUoIcjhK7YXwYtHRAx6SAP/8DoUJ6qrfa
+        BTp30GO7rzJjGeYrD1G6zNSaG7Wf+ublwsUzbfzXnzySY4uOD13Eq5/2Fi56F7CmE6B7kVm9WGj3
+        Lbh+dmXAbxbbEL+RqEKn02ysOwc3FstnrgOK255eTptbNWTce4ErrybS3k7iZXrVDshzZQx6rdCA
+        EIvHEh2k2ljzyataBtlRUPZQNfxs3pVBAD7y0DooHnWmyWKsjcwC7mliBDeuvcTLq3klCOyXbvVj
+        Qs/gLuNgfTIdfBO4xBDse8RBS0gDvL+AfcyP36sDf/lit+ax6Yi2BKz+hcb5E/dz+JpttK2uEGuz
+        9jK67GjVMBbEgnqcbMXCYOQuNJ1XgB+NLrApvechPB4vBj7ortzTSrmd4O7SJNhldVURK2htKAiv
+        Bseffc9W/1FD2UIj9Vce8hY9GP7WL46G0TcmlIgBsKL5gTGah3QmX+8C1w4X3NgXsNnivQTOfFQH
+        U/EWqjnlwwa07/yNtdMgxYvkFdmPl6z++xyzrtmFci3bfCAkN7UfRH1IQC8oA3kvPk4Hy94P8MqT
+        D0FkiAxem0YRnI6LG0hKhL3VH7UQOicL78vyG7PRj3z55aQS9cv51U/fSCXIvadZwPvyFoxhaHdQ
+        S8iWrnmPTSlWaqBm+wfVY9+spOPdJWBdj0ScldlYyOF1g3HsU3xLJQNI5tImsJSHnD4W0rJ55rQc
+        xepwp/rhIcTT01UjWEq+g73b4HmSJ78zCDewxJmdB9XCxDL81QPhsIs8ejD9BgI/Vsm7CI/p+NK/
+        NvzgZIft9fp/9W/NQ6Rud1vAuOhI0JqPg6pnjiH+eORvfoLT+vjrhxFUHoKKHfVbe0ueDq0iHIBD
+        xIqL2DIarQ795/tEz6naGNOTLCZQpmzBfndxGRNPUQtXfcIBP7fs626TDFx24gfbq3599fO3hvh0
+        avEZ2hcw7TYp95e3OIP9rYaNtnfhwevu1H17N6/7JNoNrX4C7wyRGsPKt4DNuC/dn0UxnfbvvQ/n
+        4+uGcc+u6XKqJw7Zo9bjw7a5VzQarRw2b8gH7cpfV17RgCCrKV7nJ3/1Dd32Y4w13YmrVY8HyI7G
+        nsiNlbL50qgOuATdHrvXY1gt7y6aYMWkiDq5X3okrtMIao5fUsMN4nRBGzVBD66XAhgZVzAmt2GB
+        a97EwXyVqnkerjqCTdthzzL4dLkZUwE7zmFE/j5Hb1C1pYPotMHYrGs7/hqKbMtTYPfB8TRc4yVF
+        7gSuU5pS21U5Y0SOBEHvnxE206iOx9IvM3jl9Cf17GlgU9d4GQTWMw+mWQ48FiybBfZVcvnx3n7p
+        yEsE+Ss1sbtr74x91c2kqLvQxykNST9fjaYD+EKrgK28Z1r91s8/Yo2LdTbja6TCrFQJ3YlbBMi1
+        9TswnPAxEO1HX9HMnhKUU9Whz/ATpOKxem4VqBUVdUep9xZur/FwYpcg2Kz8hd+29wb+eK/Z7rZs
+        7XeKsj4PaqqD6/F+Hhdwo0mYgM3zZCys3vDwEFZ9IHhXmq68eAInraN0X+DSmPZ7YMPH1RFouOaR
+        sbKu9m++FWxW/eejyokgaHcYuzxPGPNPoAWf8sMR8fHlGZ1e4QndnYhQZ9Un1j+0CAbWfKDqOr/8
+        PEJ5UnZLYdLUeVg9Xx/kDloctdf5KAZ8e+xVeHRUlzSaYHstFEgLf/161fNqHpXQhl1a6UGv22G/
+        jO2dhz6SZWqs/HkGvOCikBuOGFtqEIt6+3D/9utg92Zsviq6AhTovfFhne+JF3pT4ai6AGMmmUDK
+        NrtQOQuXI1UDbQZ/5ynqvt/h4PhM00HVlBYGFjsE2218ixn+zhPkzuCNnZXnDHtSb9GT89qVp4k9
+        XecDcJ0P0B9fXCpzrH/9m+orb2Z+jnQ4deqZPu9Ht19y97mFewtO2B2xVf30X9nhPqPmZrG95XaR
+        FKin34Bq0fXurfmh/PFAen2a2CPfus3gpjSt1c/HgD83MYTTfavgYMncfuWbBIKN7hM4A95bx2uc
+        ojlBSd7BiRl05rhJKS8oWvP802BZeDLR1hNlrGllzeb7N+XhjDWN7prvNl4W0Wwg1Y1P8FjPn/Ps
+        4kLEYn71C29v+PHkw1eoqCskqJ86V7iAdZ5DFreYq3k5khr85kP7/XfXM3B7ERTDTsf2uE3S2Y3b
+        9ufPME64ylhOcVCCUx0W9LKVeDCt80QIl3NOg/7ZsDHFmo329V4h0nD7AH6j7R249KxZ8/AVzPEG
+        +cA+XrbY1oTGmMenBtE/v10B//WvP3/+12+HQdM+8ve6MWDM5/E//nurwH9I/zE0yfv9dxsCGZIi
+        /+ff/3cHwj/fvm2+4/8e2zr/DP/8+48sin83G/wztmPy/v+++Nd6sf/61/8BAAD//wMAMvIyqeIg
+        AAA=
+    headers:
+      CF-RAY:
+      - 94f4c6967c75fb3c-SJC
+      Connection:
+      - keep-alive
+      Content-Encoding:
+      - gzip
+      Content-Type:
+      - application/json
+      Date:
+      - Fri, 13 Jun 2025 21:45:35 GMT
+      Server:
+      - cloudflare
+      Set-Cookie:
+      - __cf_bm=I11FOm0L.OsIzhpXscunzNqcbLqgXE1LlRgqtNWazAs-1749851135-1.0.1.1-R2n01WWaBpL_jzTwLFUo8WNM2u_1OD78QDkM9lSQoM9Av669lg1O9RgxK.Eew7KQ1MP_oJ9WkD408NuNCPwFcLRzX8TqwMNow5Gb_N1LChY;
+        path=/; expires=Fri, 13-Jun-25 22:15:35 GMT; domain=.api.openai.com; HttpOnly;
+        Secure; SameSite=None
+      - _cfuvid=TSYyYzslZUaIRAy.2QeTpFy6uf5Di7f.JM5ndpSEYhs-1749851135188-0.0.1.1-604800000;
+        path=/; domain=.api.openai.com; HttpOnly; Secure; SameSite=None
+      Transfer-Encoding:
+      - chunked
+      X-Content-Type-Options:
+      - nosniff
+      access-control-allow-origin:
+      - '*'
+      access-control-expose-headers:
+      - X-Request-ID
+      alt-svc:
+      - h3=":443"; ma=86400
+      cf-cache-status:
+      - DYNAMIC
+      openai-model:
+      - text-embedding-3-small
+      openai-organization:
+      - crewai-iuxna1
+      openai-processing-ms:
+      - '76'
+      openai-version:
+      - '2020-10-01'
+      strict-transport-security:
+      - max-age=31536000; includeSubDomains; preload
+      via:
+      - envoy-router-86bb9759f6-ksq4x
+      x-envoy-upstream-service-time:
+      - '80'
+      x-ratelimit-limit-requests:
+      - '10000'
+      x-ratelimit-limit-tokens:
+      - '10000000'
+      x-ratelimit-remaining-requests:
+      - '9999'
+      x-ratelimit-remaining-tokens:
+      - '9999496'
+      x-ratelimit-reset-requests:
+      - 6ms
+      x-ratelimit-reset-tokens:
+      - 3ms
+      x-request-id:
+      - req_335974d1e85d40d312fb1989e3b2ade5
+    status:
+      code: 200
+      message: OK
+- request:
+    body: '{"messages": [{"role": "user", "content": "Assess the quality of the task
+      completed based on the description, expected output, and actual results.\n\nTask
+      Description:\nResearch a topic to teach a kid aged 6 about math.\n\nExpected
+      Output:\nA topic, explanation, angle, and examples.\n\nActual Output:\nI now
+      can give a great answer.\nFinal Answer: \n**Topic**: Basic Addition\n\n**Explanation**:\nAddition
+      is a fundamental concept in math that means combining two or more numbers to
+      get a new total. It''s like putting together pieces of a puzzle to see the whole
+      picture. When we add, we take two or more groups of things and count them all
+      together.\n\n**Angle**:\nUse relatable and engaging real-life scenarios to illustrate
+      addition, making it fun and easier for a 6-year-old to understand and apply.\n\n**Examples**:\n\n1.
+      **Counting Apples**:\n   Let''s say you have 2 apples and your friend gives
+      you 3 more apples. How many apples do you have in total?\n   - You start with
+      2 apples.\n   - Your friend gives you 3 more apples.\n   - Now, you count all
+      the apples together: 2 + 3 = 5.\n   - So, you have 5 apples in total.\n\n2.
+      **Toy Cars**:\n   Imagine you have 4 toy cars and you find 2 more toy cars in
+      your room. How many toy cars do you have now?\n   - You start with 4 toy cars.\n   -
+      You find 2 more toy cars.\n   - You count them all together: 4 + 2 = 6.\n   -
+      So, you have 6 toy cars in total.\n\n3. **Drawing Pictures**:\n   If you draw
+      3 pictures today and 2 pictures tomorrow, how many pictures will you have drawn
+      in total?\n   - You draw 3 pictures today.\n   - You draw 2 pictures tomorrow.\n   -
+      You add them together: 3 + 2 = 5.\n   - So, you will have drawn 5 pictures in
+      total.\n\n4. **Using Fingers**:\n   Let''s use your fingers to practice addition.
+      Show 3 fingers on one hand and 1 finger on the other hand. How many fingers
+      are you holding up?\n   - 3 fingers on one hand.\n   - 1 finger on the other
+      hand.\n   - Put them together and count: 3 + 1 = 4.\n   - So, you are holding
+      up 4 fingers.\n\nBy using objects that kids are familiar with, such as apples,
+      toy cars, drawings, and even their own fingers, we can make the concept of addition
+      relatable and enjoyable. Practicing with real items helps children visualize
+      the math and understand that addition is simply combining groups to find out
+      how many there are altogether.\n\nPlease provide:\n- Bullet points suggestions
+      to improve future similar tasks\n- A score from 0 to 10 evaluating on completion,
+      quality, and overall performance- Entities extracted from the task output, if
+      any, their type, description, and relationships"}], "model": "gpt-4o-mini",
+      "tool_choice": {"type": "function", "function": {"name": "TaskEvaluation"}},
+      "tools": [{"type": "function", "function": {"name": "TaskEvaluation", "description":
+      "Correctly extracted `TaskEvaluation` with all the required parameters with
+      correct types", "parameters": {"$defs": {"Entity": {"properties": {"name": {"description":
+      "The name of the entity.", "title": "Name", "type": "string"}, "type": {"description":
+      "The type of the entity.", "title": "Type", "type": "string"}, "description":
+      {"description": "Description of the entity.", "title": "Description", "type":
+      "string"}, "relationships": {"description": "Relationships of the entity.",
+      "items": {"type": "string"}, "title": "Relationships", "type": "array"}}, "required":
+      ["name", "type", "description", "relationships"], "title": "Entity", "type":
+      "object"}}, "properties": {"suggestions": {"description": "Suggestions to improve
+      future similar tasks.", "items": {"type": "string"}, "title": "Suggestions",
+      "type": "array"}, "quality": {"description": "A score from 0 to 10 evaluating
+      on completion, quality, and overall performance, all taking into account the
+      task description, expected output, and the result of the task.", "title": "Quality",
+      "type": "number"}, "entities": {"description": "Entities extracted from the
+      task output.", "items": {"$ref": "#/$defs/Entity"}, "title": "Entities", "type":
+      "array"}}, "required": ["entities", "quality", "suggestions"], "type": "object"}}}]}'
+    headers:
+      accept:
+      - application/json
+      accept-encoding:
+      - gzip, deflate, zstd
+      connection:
+      - keep-alive
+      content-length:
+      - '4092'
+      content-type:
+      - application/json
+      cookie:
+      - _cfuvid=63wmKMTuFamkLN8FBI4fP8JZWbjWiRxWm7wb3kz.z_A-1735447412038-0.0.1.1-604800000
+      host:
+      - api.openai.com
+      user-agent:
+      - OpenAI/Python 1.78.0
+      x-stainless-arch:
+      - arm64
+      x-stainless-async:
+      - 'false'
+      x-stainless-lang:
+      - python
+      x-stainless-os:
+      - MacOS
+      x-stainless-package-version:
+      - 1.78.0
+      x-stainless-raw-response:
+      - 'true'
+      x-stainless-read-timeout:
+      - '600.0'
+      x-stainless-retry-count:
+      - '0'
+      x-stainless-runtime:
+      - CPython
+      x-stainless-runtime-version:
+      - 3.12.9
+    method: POST
+    uri: https://api.openai.com/v1/chat/completions
+  response:
+    body:
+      string: !!binary |
+        H4sIAAAAAAAAA6xW32/bNhB+z19x4Mte7CJu0jb2W5q2WJt2KLZsw1AFxpk6S2wpHkdSdtQg//tA
+        0rKU1gaKbX4wBB7v1/fdHe/+BECoUixAyBqDbKyevlTP//ig/vy8+iu8b+qvZ7Puan6+wnc3+v1v
+        nZhEDV59Jhl6rSeSG6spKDZZLB1hoGh19uJ8fvFsNjt7ngQNl6SjWmXD9JynjTJq+vT06fn09MV0
+        drHTrllJ8mIBn04AAO7Tf4zTlHQnFnA66U8a8h4rEov9JQDhWMcTgd4rH9AEMRmEkk0gE0M3rdYj
+        QWDWS4laD47z7370PYCFWi9Pb66v52x/veDrd9cb/uDo7rO7vvhl5C+b7mwKaN0auQdpJN+fL75x
+        BiAMNkn3Bv2X1xvULR6wACDQVW1DJsToxX0hfFtV5ONdX4jFp0K8NVK3JUHDjkCZQA5lUBsCNCWQ
+        qbBSpoJ0poIiD2t2EGoCWStdPinEpBCXZQkb5VvUgKr0wA5Kh1tlKg+BoSZtQWnd+uAwUNZmI8kG
+        nw28NZKd5SStsKFkYt0akDVqTaaiZMiRMmt2kkATOqNMldU/Ot6okgDLUsXUUINNaUjUQHcYq9BD
+        qDFAxbCijk0JklsTYm6BgUyNRhK0piQXa6PMtm8nhfi7Ra1CV4jFfFIIMiHBEMG7LxINhVgU4iV6
+        JeFyF0CKKtKbZB8w1HDDVsl0XpKXTtl8b1GIy5hpiZEl1D0woAw0US9FrcyG9YY8SG5WyqSotxxB
+        SrSZtlmRSxBVFADB0BYCB9QZH0c6lYevle1p94Cw5uh4h1jy5r8orRPFhE53GWdyPrOU/DdsdAcB
+        26oO0WOqA0cG0EVziV2sCHgNzwtx+zAZw/Q6k7GAqx79SxvJOQDY7uphyExPK7SeykThndWoDKwS
+        EX0lwKobiLZ151NJ5DHlJ4DJecQ61MqDRE9HEXtFDZtcwX5cwjHRvbtQO26rGhyhnmq1pt5X7hNr
+        tZK40pS7iFDWMbABwn39HMPthju4Qvc/ADZqyINoBe5AovNHAXnTulCTG7oyw7I31uPTY4KQjKT0
+        vSSDTnGy/TNp6wcQ8iRRX+kH4HiVxwx8VDK07r/UUeqz3F7kAV1IAzC34FBd++S2KtRgd16PQvTa
+        SG4dxvGV3r44QzvY1io67NnH8dB4VGXDEMNcOcn1rt5M1ff9cXh+9/HaG2Uq+jclM34OtthFIFLU
+        AwxtcrDODgD9uHxYHwfmo+OGU4p9T6anhuIQjO3Yz/dEQDJyxcbERsqUJPj3r9BPHnhrYMVllxpr
+        RSGQezzNI0i3D+LR+/hwcuj7dvT6O1q3HvX3awEawyFnFfeC253kYb+CaK6s45X/RlWslVG+XjpC
+        n1524QPbHFYMITkX7aPtRVjHjQ3LwF8ouXsxn2d7YtiwBunZ6dlOmp6AQTCbnT6dHLC4LCmgSgvO
+        fqeSKGsqB91ht8K2VDwSnIzy/j6eQ7Zz7spUP2J+EMg4TahcWkelko9zHq45ivP22LU9zilg4clt
+        lKRlUOQiFyWtsdV5MRS+84GaZS5u61TaDsXaLs/O8dk50vxMipOHk38AAAD//wMAfAt9/isLAAA=
+    headers:
+      CF-RAY:
+      - 94f4c6a1cf5afb44-SJC
+      Connection:
+      - keep-alive
+      Content-Encoding:
+      - gzip
+      Content-Type:
+      - application/json
+      Date:
+      - Fri, 13 Jun 2025 21:45:40 GMT
+      Server:
+      - cloudflare
+      Set-Cookie:
+      - __cf_bm=RNxOcvndh1ViOpBviaCq8vg2oE59_B32cF84QEfAM8M-1749851140-1.0.1.1-161vq6SqDcfIu41VKaJdjmGjwyhGQ3AyY0VDnfk1SUfufmIewYKYnNufCV49o2gCDVOzInyRnwwp3.Sk2rj9DoDtAbcdOdEHxpr34JvDa8w;
+        path=/; expires=Fri, 13-Jun-25 22:15:40 GMT; domain=.api.openai.com; HttpOnly;
+        Secure; SameSite=None
+      - _cfuvid=uF44YidguuLD6X0Fw3uiyzdru2Ad2jXf2Nx1M4V87qI-1749851140865-0.0.1.1-604800000;
+        path=/; domain=.api.openai.com; HttpOnly; Secure; SameSite=None
+      Transfer-Encoding:
+      - chunked
+      X-Content-Type-Options:
+      - nosniff
+      access-control-expose-headers:
+      - X-Request-ID
+      alt-svc:
+      - h3=":443"; ma=86400
+      cf-cache-status:
+      - DYNAMIC
+      openai-organization:
+      - crewai-iuxna1
+      openai-processing-ms:
+      - '4149'
+      openai-version:
+      - '2020-10-01'
+      strict-transport-security:
+      - max-age=31536000; includeSubDomains; preload
+      x-envoy-upstream-service-time:
+      - '4154'
+      x-ratelimit-limit-requests:
+      - '30000'
+      x-ratelimit-limit-tokens:
+      - '150000000'
+      x-ratelimit-remaining-requests:
+      - '29999'
+      x-ratelimit-remaining-tokens:
+      - '149999368'
+      x-ratelimit-reset-requests:
+      - 2ms
+      x-ratelimit-reset-tokens:
+      - 0s
+      x-request-id:
+      - req_437679f0db60c9eec6bbdf32d399f960
+    status:
+      code: 200
+      message: OK
+- request:
+    body: '{"input": ["Example: Counting Apples(Math Example): An example used to
+      explain basic addition by counting physical objects, apples in this case."],
+      "model": "text-embedding-3-small", "encoding_format": "base64"}'
+    headers:
+      accept:
+      - application/json
+      accept-encoding:
+      - gzip, deflate, zstd
+      connection:
+      - keep-alive
+      content-length:
+      - '211'
+      content-type:
+      - application/json
+      cookie:
+      - __cf_bm=I11FOm0L.OsIzhpXscunzNqcbLqgXE1LlRgqtNWazAs-1749851135-1.0.1.1-R2n01WWaBpL_jzTwLFUo8WNM2u_1OD78QDkM9lSQoM9Av669lg1O9RgxK.Eew7KQ1MP_oJ9WkD408NuNCPwFcLRzX8TqwMNow5Gb_N1LChY;
+        _cfuvid=TSYyYzslZUaIRAy.2QeTpFy6uf5Di7f.JM5ndpSEYhs-1749851135188-0.0.1.1-604800000
+      host:
+      - api.openai.com
+      user-agent:
+      - OpenAI/Python 1.78.0
+      x-stainless-arch:
+      - arm64
+      x-stainless-async:
+      - 'false'
+      x-stainless-lang:
+      - python
+      x-stainless-os:
+      - MacOS
+      x-stainless-package-version:
+      - 1.78.0
+      x-stainless-read-timeout:
+      - '600'
+      x-stainless-retry-count:
+      - '0'
+      x-stainless-runtime:
+      - CPython
+      x-stainless-runtime-version:
+      - 3.12.9
+    method: POST
+    uri: https://api.openai.com/v1/embeddings
+  response:
+    body:
+      string: !!binary |
+        H4sIAAAAAAAAA1R6SRO6Orvn/v0Up87WviUCkuTsmGcJggN2dXUBIoIiMiWQW/e7d+H/rdvdGxcY
+        BZ7k+U3Jf/7rr7/+brO6yMe///nr73c1jH//j/XaPR3Tv//563/+66+//vrrP3+f/9/IosmK+736
+        lL/hvy+rz72Y//7nL+6/r/zfQf/89bcQPDriHh8DoPtGkCHJhgLfnF1fExk5Jry0lo29W9H25Kvd
+        bLA1e4CN/JNqixDFFfLfuCDmIo9g8sGbQ9MtP2MvnId6EqKshKDmCpwqoaEJk8IV8CDiDmt5qNQ7
+        //k4wQQHE1axFmTcrs8k+ImrICh32502X0c5QEL0NvCpC64erdqBSt3WNtffP2uquwyC9/XpYv3O
+        n2t62D0roBngQ0zen3oizGILZSGViazHQcy+pZXCzdA2uODmBtC9Mm9QaukJ8VFwZdwQaBS0hnoK
+        eh5Y/fh5ti6cOj8h3pt3vaXblwFSjrczDufixpjIUR5JgxPiIL4rmTCHXguLj2rh424JvfmGNyI0
+        eGoTDe2fMbuC+ALvdX7CMdd3WmdsQ4gWhmQSXKKjtrsz6QS9CEf4gC5jtlT+4ANXiRgx2Etju6vD
+        l+gsbytilZMX70i5CxDZVAHOy0/QE0jjDSy4lBGtyaC3mA+rQMh6jdi86a7GjGM4IMntXaxuPs+a
+        vvVjDrj2ERGrPIQee9iGCPMvueFgNp8x9d+eBG/LZjPtJeGe8Z9GTZDl0BO+WWirfViscdDN3zPJ
+        1nrNwkU2UX79DkRGfJZ1T7adINiJHs46tWMLxtoEY4TO5GGcvxrh6m+B2Lcpp49U6mAQ97UOl8fu
+        Tc4AGrFg7e8b+InLgKS3/lAvXcPZ6NaczjjRDiWj72m0gXi8CwQf917MbId1IHZvFblCbh8PiX3K
+        0S5XDIJtV2RTJvUykkfhSYLtMWO8OjsUbZVKx6qXtIAJr8wHwW2k2FtSP6ZbEDTQ9uU7Tt83yaPF
+        6LRAOWZncngZWOPO0iGAUrG8sJosiiZkqR1AT/be0065PgF5nOsLwo9riNUYY4/u+lhCM6MvfFO+
+        Lti1+bFCj901ImZTqJ7wOpkduu8qZfr4ccWWzUUIkCKeHsS4LV02iQddAqWVbolxsXTAtpveljQn
+        3AR70200Oj2fDbQD3cUXbzvEgrMtLrD2dxSHrC/7mSRTAu6QvCde31XxEiV+COtLigNQcnHN5+pe
+        hFhuATnfli4W1PEewGvWAqyftzgjNyWjMFPfDKv45dTCRttzsPFMNLGji9gEb4cOvHMYkAMxHxn1
+        JeqihzI/sNNYUsY2jlyg6WJuiHarHtkua+sT5PlKw/La7zS71B1qLjeIYyU/ZnQ5IRFm4iHG+Sff
+        aMuZUQnNSpnh/PEWGHN8xgOHVhT/6rGrw5DCgs/LYGnLQ88rk9NAfkAvfK4eZsyt/wfU5h5gNbmb
+        vWA4iog6r4kxPiZUozyYKzhyjTghwyg88nq+dLT5HCpyH5beG2ZCKeSZPZDgc53qmW7ECPTkUhHL
+        jyvAIkhVBK/JkRQCCNla/xP4qIuH/UVp6uX7VRtk+PeGZL4e9sLo3yZ4iwKwzueLsQ2oNqAP2wO2
+        OMQ8BsWOwtv23az4ocR8Tg2KKtY8gu863+ymxAvSrtsTMWM5ZyzMIP3NN5Hj06afDzPcwF+9LsdD
+        zWbJOSXoaty5YHwBnQmDropoJB4Lht117lld9BIQtohObMUran/LBZ0qjmHtWhsx24BuA6kjHIjR
+        9JYmuPdbLjpqqgT741WIWZnUFdykr/0klrLnzdZ9TGHQz3dyM040Xh58YMMVL4PelpqY7YW9DK0+
+        TPHlQx+MOkMJ0XWvfIh3777xcJaMAHjfScOOvd2xOb50Ptgc/AO5PPb7+g9elZuLQ9xtOWl079oL
+        2Hs0wQU+yj2nl22AvDa5kZOuQ2+8RsYJvtF0xIWa1IAJwbQBKBssnJ0jCyxq/Tr94Tsn5HNvkcpq
+        QhV7PYhyK5WMEzfzBI/Z5RRI75ukDZ2tJb/5xNaO2Yw+maqi3SPNiSunJF7iUSxB4F91jD+Pl9Za
+        3jjB+LDsSXxVO22OM8qh6cVOxGIgj+fac204vqUKW36sguUu1zmKH1xDChp6vcBa0YTPqXzjy3Ru
+        M2rn2gmlBp2I9aVPwHM38QW35hfgA3Z6jV3HnQjfffsiqlvF3ty+2hOci72J73mtZS0d6Av21Gzw
+        NVdIzGxl4GDC6T4OvXuSCRpaeHgLjBI/QmWrve6nuw9flnQmAX032kK6yZRof42xWswp42Do2DBW
+        3CPx/fGZUXyfuN98kChs5JjppjMg5EId61uOsOXBmzZ81dtrAO5bje12O53CLNVf0+eeyPHuGH55
+        0Dtehg8ekz1BJn0HpIK+cHzxT/FsvNUCSaxTsf6onh7TxZcPb0ouktSikkdXPkE54hi5czavMc5u
+        XlB1E588bnSuh07lKDqY42uCa3/O9+YkIv7YNuQ8X5E2u/WbIru1HlhlTwTe8FQn0DITNDFzW2vL
+        6+5w4NjJHTmxPMjY1RZ5RCtTJdFnG3nT7UYWwFLJJSeueGudMbMKFce3hq/te+6pUG46uK6P6Rqx
+        K2BvKSzRAbwVogtWDJYo0UPElOswLePBqYdngm3I+WmIb2s/dNbnEoHjLfzgNLQzxt5SUkIWZ7fp
+        /Xv+ajm3sBxfJvnxV3c4pjYEemIQtz828aKULxv1cAymlk3XbPkG1gRW/g6oHgfZLkJogOJ+6gN+
+        dhONXmWjRWb9PgRf5dsBwYncfD/O+BlcvK2f0dY9cshx3m98yJ5+zYV8FoG1/6fPN/vE5Mh9ffjm
+        UU3OJKm9pcxDHe3zKsOO+ij7pfJfPjrrpz1O7eO5n8/P2YfK4ShheTnh/ofvyDu/voHXXI2M8yXR
+        hiGfC0Tvgqu26M+zBOA1PQbboC6zBcz2CbY7n5IgJNuYfg+RjOg2H0kC4QQY//3ykCXcPei//s6j
+        fPLhwUOzHKw+Il4bzIsLwYcLj9h10NOjm4M0QRsG+996B9Naf/T6XCZsF/e9RtuobKUVH4hK1X02
+        d/7YgsctCqd9EZ68+W2DCfqe7+AHzFqPxjDrpO7zPWPzOTcea7uhhU8AjlgXna7/Wr3K/RlvtdLg
+        0dtTlpBEo554X3+njZhMJXh9kww7P/xNr7YMzzKqiIY9jf34DnpteiM/fUwe260KNSEbiZfHYjZv
+        aSjDQ+Gfp14bAkZLMexQ9Ghd8ntf9l6cCf7hl+lsZ7Te3FQURKWPLyUI43kuJgrtTdRMm+4pgsWx
+        jw3c2qSd5jGd6kV4UIh6qjdEV14m44f8IiHv3HyxpaUGILN0vQBtsjNsg/e9n5AgD/ARC37AoufE
+        1n7i4KLmEnlMO6wx6a1DKEdVTdw6LT0CNFuH+VYsp+3Bxxl7eVt+byhiT8yTymoacToPN+ACJ+mu
+        iDWdNldOupgfNZA2nZiRZ9ZP8KfHTLu0GN+WjAJNE6SAR9W+HszitsDx0I/Es0Tcz4/hHKK74yzE
+        iCfkTS/VhLC+JJhks5ZljdTuS7iZpjhgefjsp11OKVz1e8AuPpf13EWXYfToXGwlly9jw1S8gBLf
+        VRJFt332NXeljpKFVtjiT7o235tcAsNuMol+Lk4ebxvHFIlIVwNh5YfdmEIeMDHiyaHeT95CFk6S
+        tvbYEuc4zGy4RPsBqlcqBpvaG8Hy6Y8yuubwTTy50gE3iNccnnf8lsib66X+8dWffjPNNsuWmTY5
+        NNzbPuBfR5DRZutSmHlpMIEzqz1aOAKEx07tsL7ya0sCVEo/fX6Jn4m2LDEN4N7QumDvlEdt7vx3
+        i2jeoUmk2uIxzQtPcJOJNT7GiMSv/Fbz6PlhAnE72v/xW2Bz9nbEOKQ2EFLGR1DULW/arXp4ufJ7
+        Hak3vcJyfCrq5Vh9S/ihohTwTaFqzYqfMHgGFQlSNsQjRt7m5+ew/MSRNm/TngJl3zorPqYanVO9
+        hKOwwUSvD01PFWJFP/+BvVd/Y0R86A3QjP2HGHYSxdM+iUWo6MuAbTYJGfnxrfEaMqwpaOgpDBUb
+        pe+DhTVhx3mMKyIewYqEwTymQf9VXskEV/zFim06seBaYwDujrf88L7nAhpJEGy9PODqSWFs1WvQ
+        z6CP09S32VKelBChvcn+6KUZPOQWInejB/NTrNiXJE0CEzrtsM/xl5ievuQlRTQNVn8c1MtB4yZk
+        X5SF2JdmYaMSvAoEHqM2id5NWf3+0YW0XBLswovuMf6ZyRJUDu70UV/UI8UhryR633wmEd1djYQZ
+        t8C0fRXYYbLgDfmt5sCkxQH++ddy32xVsOpFct6Ee9BqFlhgZweQeFJz8Pj9e76AcwA4YtTys2Zu
+        1Zro/jjtsRbw33hp+VaGiVze8G/98sYMyp8fwzaHFzaFaTRBjQbOxEShY9Ml/qSw6eoLtuHnFK/8
+        IML2w+n4uOSGNhZ6oqJrvnkHUy9+GXsvyvB7fhKoicamh1Z36JdfxMd+71HHuYbAbOAL48VLtblU
+        nRdsdwElh0S1td3bBgM8Sss4cQoestk6X15wvz152NoqpUZbQwtgieTHxNvlB6z43/4b374sqemL
+        MQr1QCxIUtxv2p9+m6OowJ6DSzbsasNE3vztcQgqk41Ls2tgbF93+KCGU9zDii8h8D7fCQ7bUFse
+        Wt9ChywDCWxxr013uc+BIC5+sOT24NEh+/qwrR0N+/6oxMLiIhl28RNgjbvgfuAVOwDFe7jj5PVs
+        4oWHxAfhVS2Ik0qOxu+TTIJ2wR3IRd+p8cKcaIN++Y7v7jg2X51NBTXqO8Qu7jev/xAWwZWvgu1W
+        GvpJnRWKErm6kYNXGP3wPaQyVOhuwrj5TvGy+fYRtO2vGbB90mh0R6sSHcpQ+4NXOwKoCQWR+kQb
+        OA3sTuATwbM1hH/8+vDr54x3GqK25ViP3IA2kLwJI+r7UserH05hEOYPHPf3qKdnyfDhOVYwMUsQ
+        ZjO0DPjz0wRfgAIEPJW8VIdbb2JX1fV2q16ECj5/SHAMpb6f8E2Cj06Oce71XT2LXsXDVX/iG+l8
+        bffVC+6Xz2DzjRr201s/vCVupRGtMR+4gOXYmNjrRLnfoVwK4FG4XbBG3YAx/I189Ih3/gT5wydb
+        LOSWYJvOZxwX+zDeRabfwNv43E/v9+4Yz3GQJeBQBGdiaweZcfQR27B95SM5b01cj4/hHsKwOt+J
+        y7PIYzLpW8BAdyCyt2H1/L4cXbTFxWV6G6oVc/dOyeEh5TbkCBxFW+b20UIhUZ2VD+8af5frAsT5
+        AxPf691+0M7HAH18LZ9258apOX/5nkC01WvsXmTb4/ZcnsMwPFKy+hXvS/lvDtd8iihh4QL2zs85
+        Wv0k8Ve/Px1uLYQncs9IdivsXljXO/jV78/6f2wFFbr4YGDZu4vZfGNyg3a3bYK1/VjWs7tPZfi2
+        OY7guSvYdDp8VMjHU4wP+/7D6JA9/R8+E0X8PABt/DZCVaTfsLqTjJom9qkAa95BvIWYgAezfUHS
+        83UmZwF/45E0Ggef9rXA6tOt+pk3ugKWLTCCre0mbLrdPgvYu/lEDt9c1ub0Xduwetkmvu/7D6BY
+        pg3iwxPEZ5C5Hucvz8svDyJ6Jfoe/fnPDLw6bJBE84SlfIZIFUuA84S2MSVmMwDRqTDR+mX0WH63
+        E/Rbz0WQuYx19C3DD04YSS9yq1H3xkn70cwd7If7SqNJIQ8orK53rC/GPZ7qKixQJuJ4AvP+6I0f
+        8x1BIszltP08Xt6MkbZBx935G4h5J2tcKYYtPCozj4PXQa/ZZGk6nE8XD7ur3lo282LC9sPrxOmL
+        PmPu/ZjDdX2u/FCD+WGFPpoi8gm41f8IKdtEMO+Zie1LE7EhOe8loAm3cSq7+zeeMqmW4SFhR+I4
+        5dGjL6c14asbDPz4PHRttkGbA4urhwBuJC1rV/0OJNaq+GH3J20Rq70rWfz7NoFOdQFb1CkA6IQv
+        E4mI4gmLOvmQmQvF5vGggZ0ADBsOj3JDMLm42S5NDhPAG/YNPmveyDaOXUAj3iRYD+yvRkPwlBA0
+        u4D4n7zQJku9BfDLGRUJstOnns+3LoXj2X1MrL8v/TJV1wiC2MymrcG/4hld6wb9+F6Rca1NRPQq
+        YKqWRdzoXPWLKbkneI+GI1bB/pGNT0Oh0HzWZSDi0AL88Bon6MMB46JXTxqXhH0Erlb9xHbWOvFO
+        yuUcrflb4F6eWsyOQ5rC6P66r3kEzJZM6lVY5N4mgGs+vkwotQE42zYJ492NCco7SIG131Di59nI
+        Ru0GcsjDDAXiV33287x/tr/+wGFhfBhduspFyGpGrDxFlfFYmUJJSzVl2lb3Q80MMCT7TxW8/p3v
+        n+ZNKn246IjNNR8aYr2r/uhPFvDfbNEncAGz1thYbhaN8cO2fYHjdYOI0QkWo9tQEuG9Lk7E7bKw
+        XuR7DYF6MytiH18wZu/XEMGV/4mzTZKeCEMlI7F+vogubsuY545PCofUkIivy0bGVDu00aQdg4AL
+        7lpNud3eBfyh9ohivUdAo55X0aoPsdkul35EOF8kVUd2ACwR19PdkHQYOXeNBNGnr4n4yRI4n04e
+        uZs51nbYiLg/ejCSTDNbHt6Sg4PeCxPw6rNHP6qngrxI06lsjm0912G4oJWfieNeTLCTFKORTkZh
+        YTU03h57GtscrvkMkY9+741W73I/PTTtjuDl0YjzOXE36QtWQmbETJjFTsJ10a/1dWKm5EIDl0tz
+        wupnG2mMcBcIm+55wabnXOpVf7yky/VqEOcytTHdLAIFBym+Eqf+vLWpGLcXsOZJ5PoYTvUffbru
+        N017ZfPO5o0ulOB7+jq4KLajtlyzTQB2+9uMj6p4ZBO3Qe0f/rxoEY0nfWIX+LXCO8aDX8ZfD0YB
+        etXoSvxMh/Xwyw9n2Z+xEx1Gjb2egw4Ew7+ReJZf/YyF3QlcvsmCHUi+YNFhuKDDoYgwTptPNlzl
+        Q7fXy+Q9NYs8Mpaltg/Tpppx4Ny4bHRamMDerxbsfJgBlrQzEogPx3oS1BfVSDYTDlqfvTZt0uLI
+        OlsAkuQwySKaKLiMdHRUf3gVbMMqzV6pGaiQOrsDCVChArrVzgU6L/cWh18ziamlXST0y7sOw+J5
+        3HEfF2CRs0PAPSpFo2e8r2AdgPuU7I/fbM2PKvgCuU3MLNnEy3F7paioruY0uhZX08MDRfBTGA6x
+        dEvVCHG1EKIuuZNc4/SYOzxQCNuncZnEIRnq12coJggUeSLHKXzF86ovpBMPD3jl35oF3sOVVj6f
+        5ptnrvU4pODEbw7EBIGhcffOyX/Ph5138/DGjLcXyBPluPqnJRt+eeh3XzZ//A8POblCa56DjfmK
+        vPmXfzjO5028BI3Z9AkvNjSt0iPqMATZ0tRq8Me/Z/N+1mZn03ZgaTuF6I9K8f7orTxTNGIbfsro
+        qj8k62zEk7j6NbrmlcBCJ4uc4b1k7KTSAu2sfU/8seyz5ekMMrCSvJuk6Kz2K54OkhDWya+/a2Yc
+        kwGeLoEbtPUDr/ogLwCsxnDa94UX88H+kQKjeMbEDb+CRu7XPYVb39wSfKNzT6xTKMINpQrOP+iW
+        8S/8SmCbI0DkIq2yr9tzL+DGl5JYnzplS+7ZA8hsWSDG9tOBxRaYiMqsvJHfftIfvt7mgvrH33Ka
+        xRZ4FEeZ+NEANBrQVALuQvc4QE4b0w83lnB/4Ayino5vMD0DqQU/fex07blnVb2UqHTpZd2v6gAb
+        +TGBH3koiG5Qq6bOQysRUr0vtq95Ww8XQiBc8yyiULzJ1v1AHTHXtsjhdFV7zj1OOlj9MTlSXGSz
+        lNsF7Hp5IPgJo4wVh1MlrfgYsO0gZZN+s0z44/tz/pE8CndBAJODoxA1Dbf90k7HAK3++E/ePA+l
+        lsM23wK88q23PK9ODuVjsA8Wy2+9uTvBAn4W+MHGIW0B3VycCvDMHQIKFK/ffcwxgi7HN1i1/Fab
+        7Te36pHxg+W1H5fVr8Be6p/E9L0xXkbpuEHs+yqxKX+VWth3WQMeLH7jIMhcMNMNDVFC4EwiruZ6
+        yieEk4xGNrD+HjM2B5/rANb8mhjwXoJZvYAIrnkvVqJmrd/Cn+C6v45dvaHaPPVRDtZ8bR0vg5GT
+        svTnn/+9X/jbjwdPOq96K8mE11cSYY4Hfb3/qZ7kew8hQcGLGPP1rs0LF8vo79+pgP/6119//a/f
+        CYOmvRfv9WDAWMzjf/z3UYH/EP5jaNL3+88xhGlIy+Lvf/59AuHvb9823/F/j+2r+Ax///MXL/05
+        a/D32I7p+/+9/q/1Vv/1r/8DAAD//wMAbF1vq+AgAAA=
+    headers:
+      CF-RAY:
+      - 94f4c6bed82cfac6-SJC
+      Connection:
+      - keep-alive
+      Content-Encoding:
+      - gzip
+      Content-Type:
+      - application/json
+      Date:
+      - Fri, 13 Jun 2025 21:45:41 GMT
+      Server:
+      - cloudflare
+      Transfer-Encoding:
+      - chunked
+      X-Content-Type-Options:
+      - nosniff
+      access-control-allow-origin:
+      - '*'
+      access-control-expose-headers:
+      - X-Request-ID
+      alt-svc:
+      - h3=":443"; ma=86400
+      cf-cache-status:
+      - DYNAMIC
+      openai-model:
+      - text-embedding-3-small
+      openai-organization:
+      - crewai-iuxna1
+      openai-processing-ms:
+      - '457'
+      openai-version:
+      - '2020-10-01'
+      strict-transport-security:
+      - max-age=31536000; includeSubDomains; preload
+      via:
+      - envoy-router-6c6c4dc575-7ps9v
+      x-envoy-upstream-service-time:
+      - '459'
+      x-ratelimit-limit-requests:
+      - '10000'
+      x-ratelimit-limit-tokens:
+      - '10000000'
+      x-ratelimit-remaining-requests:
+      - '9999'
+      x-ratelimit-remaining-tokens:
+      - '9999967'
+      x-ratelimit-reset-requests:
+      - 6ms
+      x-ratelimit-reset-tokens:
+      - 0s
+      x-request-id:
+      - req_eba1229193b2c4c623e7661cac3bec77
+    status:
+      code: 200
+      message: OK
+- request:
+    body: '{"input": ["Example: Drawing Pictures(Math Example): An example that combines
+      art and math to explain addition with pictures."], "model": "text-embedding-3-small",
+      "encoding_format": "base64"}'
+    headers:
+      accept:
+      - application/json
+      accept-encoding:
+      - gzip, deflate, zstd
+      connection:
+      - keep-alive
+      content-length:
+      - '192'
+      content-type:
+      - application/json
+      cookie:
+      - __cf_bm=I11FOm0L.OsIzhpXscunzNqcbLqgXE1LlRgqtNWazAs-1749851135-1.0.1.1-R2n01WWaBpL_jzTwLFUo8WNM2u_1OD78QDkM9lSQoM9Av669lg1O9RgxK.Eew7KQ1MP_oJ9WkD408NuNCPwFcLRzX8TqwMNow5Gb_N1LChY;
+        _cfuvid=TSYyYzslZUaIRAy.2QeTpFy6uf5Di7f.JM5ndpSEYhs-1749851135188-0.0.1.1-604800000
+      host:
+      - api.openai.com
+      user-agent:
+      - OpenAI/Python 1.78.0
+      x-stainless-arch:
+      - arm64
+      x-stainless-async:
+      - 'false'
+      x-stainless-lang:
+      - python
+      x-stainless-os:
+      - MacOS
+      x-stainless-package-version:
+      - 1.78.0
+      x-stainless-read-timeout:
+      - '600'
+      x-stainless-retry-count:
+      - '0'
+      x-stainless-runtime:
+      - CPython
+      x-stainless-runtime-version:
+      - 3.12.9
+    method: POST
+    uri: https://api.openai.com/v1/embeddings
+  response:
+    body:
+      string: !!binary |
+        H4sIAAAAAAAAA1Say86rOpeu++sqpmY3+9fHIWCzegkGkgCxORmSUmkrQE5AToBt4Ffd+xaZS7Wr
+        OmkAItgeHuN9n+F///Xr1+9XXp2L/vffv343967//X/ma+WpP/3++9d//PXr169f//7+/q8nz4/8
+        XJb35/X7+Pfm/Vmeh99//5L++8r/f+jvX79TObuzMZvWnrS6PSX4DEJESNScJ3GWlj6cOnZlHai2
+        SLo1rg5NN0uIpecmGOyh1KHsZArHBXrn/O2PieHeAkGOF88Gw5MtF7A+dSkJmnyFqh7qKTA3wQfL
+        Hj0g6fBjCoOhriQh89u8H+30AH+azMACKD/TVGx1DKc1lbnpJG07jeN4gmXtR9ztrTAX2BGWAUhM
+        2EtIARqk0BuBDKnC/Wsdta9UKw+wwozihW3FVaO+PQHgsXuQ0yANuTDKUoHXoEvwpFn+pILhMsLL
+        G8d8E3QciSVBrqFEmcrRqV0Dnqz9EWrXmJDt3efTdNr5ClzZNCahsFNPbgoBjejaeSQjEAP1IekB
+        fGA/495dLvLx2VsBeB8oI94HPWORB8I3BoQvxLmiGkklcCVY+/GK+A7YtOoU7i1gNVmKBxqvqpc1
+        mbUBrt2DRyu0ntfD1OEizSB+TrYGxkK2XHgeWMzdQ+W06tsfU8NcshX319OzHdFVC6BnBIJYDVWn
+        6WNcargD9Mj3u2mbD1GFDnAbY4t9TnJeTSXWfeA9fYeEn4YCiSbLrVE59EN2o+egoT1rK3DQacUv
+        Vytpp0a2dMNqaMqJ3n6816FbbsFuYjZ+XCXcSsZSXHWr89f8+GodpE7L8WRcX8GCewbatJJRlhI8
+        u37ETyHNK9UaMgzfBB/5ZZJ/vMtwHQ+G98QOKYX3AoK/xAHsfGyxAE6rXC2oL8E5vjhdIFRJSV8e
+        YC9YyX5Qs2hfNXKhcbQw+c5PJZ2spW/4b5qTrZ4EngCP5VVfSN2LxLekq0Rg0NTYucziXiYN7VgZ
+        vg+PNiPc204bNDTFcgFJHU1YJRBPUkNcqB/ZqBFnKnAl63tPgbQeVWJp9gGxzzi8wHOV9WQzeBZQ
+        X0d/ARdaHGHwbGAuvD1NjaELd2xRSBPgR8MaoR13JglTq/VEA0VkHIoO84vnvavBWi1f0I6ZyffC
+        207S2y4/0Lkwk5xba5rEkiIXbq4BIyWkZ0/EUFhGw8I12afUqF6hYXbwqrAEL6W8qV6rnVkbshb6
+        nN67flJ31PpAU/dXZLetRf7ZO9oBZqsOk8StzFjeKcsXRMnY8u2nsuMRN9YKXnhg8DzPn4gbg+0a
+        9OrvudNXtTcMV82B1jR2fMUTt1UP59HVW8ByJnXAnNTOsBYwCOiZlI/41UrxrTzAovVDkmwSH4jQ
+        MJlhmmxFNnFlxWqvjCmU49Anqzm/DJ8GvUBX4YKpK2Dlimz4B73fdAWJVc/0lBpqD/jTUIO4IQXt
+        5F/HlbE6ZDEx13VbTbfycgVjSyXiqeCZD/YFBca8X/mhaO14LJl2BdHUeTzC8RrJ9/LswwvCMc8X
+        deR94x90AS74rrQB6tGx1LUn6w5811hBO7J1ZsL0iPc8chKvVT3tEsF9lBXMeEoxkuzyuQTrc/Am
+        2ZZq7Zi//S18JLFJzFW+RjKxvQPkPiu5Rdp73GUP4Rr7MRh5AJTLpK73Fx98duxENo7EwPiTajpM
+        eaQSswC3eBBYcwDx8BZPSaN6/UZFAcBxt+XHBQX50B4GE/4Y3YvvE/RquXPWFvCa0xcb1K6NJ+Dr
+        d1gMAeS20xyQ2sMxMY75qHHrlPTe4BKUGoSMI8Fv8I5F0tMDvIXBD8/uVd2y1E4FLFgA2LD1PaRs
+        MgThzqZHctoBJ57wOK4Ms6QJA3drmKZmf3nox0NH+P5Wvdq+R14H3SOzuU2bQyyBh7gb14AlTGss
+        0fb38ozhCTNC6GgfWv5qsofRnkKbBxb85EOPUAfNiVISeI+f+GM9hsDYl2Lg/o2WaBgm1OnAxw1W
+        jA4D5ScddGOubxj80KIVuKEpPNxHjbvQCtvukZvQyKsRYG0piWm6aL4Cn3l34GtJTtHYWkNn+HE0
+        kNUIVkg2DgM29g7ecHrzUKyi5uLDy9uPebKVs5Zdjj6G24dvkSOrRTssdunVkBL/xskLud6ItPQK
+        U5nev/WglY5lWRiwYw9Ouunjdd/6bEU0ZT8D+KBRoRcHTrfY46ZntW0XKUvnO15SpMkYj7JhneAJ
+        BTrJC++ZsyXWJAhaqhOcJVM7qreLpftXf0PSM6iA6F1xgOtz9CZemQzToMjnE5jHT+b6EUtp747A
+        W/sO2e0TkXP7oEFwz8cf7o9oi8SrN6FhH8eO4IGeK0Wl/hnkwQiwmsR1NVTvFMOPFNtMP4BH+yr3
+        5R2iAK/Zw28rMEbKcAK1HK5JMOcPkcv0rN830Q9fnR6XaszGoTD0XabxVSR9cvbuhpdxVbqEKalX
+        TUJPxBXaHk25tW/USpwyUzJ+Nt2LoLbJUP8AXg3HRSbxTWEfJ/Ud6QlI1r5PnKjGccfengmMBD8x
+        mMcvxJ52sOuo4LEh+YBdVsPDOFZZzR3RaPkAh3MB4C0O2fLcnOJxUfp36LbYJtm5Jki6OiIApxUO
+        iLVvsnaS3lkH0qzb81VCZa93qZeCcxUZ/I9eWN7KEaxv0Yfg1Ht74+Z9foCjQmuyZcCOeXK8HIB8
+        pAqxjt69ksQaWYanY4cTinZgupXZFWZDVnGLWftYkYUmjE5iBXFBMuSTfty7ALOsYLIWV62spJoL
+        TSP6EPQp/FY22bI28KrbfuPbU8VJP8HEHhWmPmOrnWT50oFDHWnEb5KomuhK3wLn0pkk0Gp3GrIh
+        tSBNsxs35/w5Wnb6gPN8kb0EtlNX7WhtwAN+kH0EtvmUDdnBmPcHmb83n4aHfoDIyShxCou10+6W
+        BaB8CcgPzdTETKGZo78DduI4quN2mvUCvEA/5t4VbGLlHabQuKR+jJ8PUFfv60MsgV+PA1+vq2s+
+        13MIfoo4ItubRKaxoVZglDWOuBnSNJfVQnMh32QjQQa65+Pqdr7D4Rjv2HVML5PYeOYL2KvOJFlh
+        H8HYUD+A8mOuTzn85CLclac/evF0pWAarpp3hznIGo7TaucxHA0neJ+yD1mPdZt3/C4ORi1Yxm5L
+        y2vVg3E5gGYITb61E9722tpTQLwbZbbY528ka8dzAfQuJNxuAIpldCyXMCP+HksRzdoplC8JhDjT
+        +aZpjoDd66GG8pndyMpPf9p3zNHJyAZa8bVSXcFQZaiGoGQNXx1t6g3f/KU7ISHxqb1Nr/PaXYJb
+        wRLipB76R88ofuzztZevcqkvvRUcjuGOkFMtxRPaWw9jZQZvvm/Rqx2txxAZqzw3sPTj3cEw11Ng
+        rvEKs0Q+x9Pqri1hkI/TN39Vk/rSC1iwCHA7qiqvD0vvpKVjsCTOJLH2pdByhPnODzhm8S6fBjtj
+        8LrECf451Uku7gcR6FpMtTl/heCpynsHtFcqiP8CWyRJjefADIolsdtiP01249dLkmUldyQfT+xl
+        p9Awsjhk5ZzvpjLRMcQ5Lbj3orAdQTdIsDrSD3fKRkO9YaQFfC8o49uPZ/8zHngOA2JHoEKDeHod
+        RB5b8VizfDBtPsMCugvfJvRWoZw9+rP+jR8entCqlZf79Ay3Iz1i6dqoYODUY7DZhmt+0Lym7Xap
+        MI0fQiF3aTIgXhd68L2PoSVDMGzq5QvMeorvR7kE0urGJbhvsoINm8KdlKRPGbSWWUo2BtW9wdyX
+        SxCRQCKI110rnPdTh+PFv5B93Rhg+upt6xK0pDwnsSd2aw6B/ehMErtUAR8n9Bbwumcxg0H+nIZ5
+        PozpyK58v6FlPF1H3Yda79ckWtdt22k35BpoFbX8bMsLjx1DfwuXN7/mluOZuTrYFwboO7vxb30Z
+        fX1IjO0xYsRcVOtqaj96sgRRGDCFy0ePd4YFobfGDh4f+S1/7WQawU6LHayHNG/bV3Op4c+ne/ET
+        skEuMpuejSQLFF708daTLkd6h9Oxu/JwR+X2A23/Cn1VDAzs6qHlspx1+kllAdlX1uRN0vvSAdcL
+        OFlDqa3E7eIu4aaMerJxUJ2Px9B3IbajkeOnfY6HKvMef/QPuVpJpZ6E7sKN3SFOk6IHYth7FrQI
+        pbg9Uhj3hSmWxuccW5w4+a6Vd5RCiIr8h/ugeqHHzThLwDDCkB9nvc70qybBeAgUNmrTuhqL+3CF
+        SpOpDMz6XEy+OMMCdSFrhFe1E20uJ/jY0I6vb7Y8DdM4WLDdhDbxz/FmUiw7reEjxAdOAPp4Ezzo
+        d2gYccja2Bqq9kfR78A5+yY52B2pxE+wfADDZE886U2WC+ILC9ovbPLYbhQwLAEaDdWO92TrFqRV
+        O6GnMKqEzAsfbaZ+c15+DCR1axKbYF3JaI8iEC98j7g0Cb2JlFkKTnUXkFSmx1hIBmXGc9sdeAgL
+        rxUUCxdKRuwRfGl3iD222gfckuyN2eyPepMtH4Z+jAlZH9tV+yplV9G/epwGVg/EwTYVo3OowOJT
+        f9pXWC8t+EhCkzi4WU6c0f0KipydmYasACnz/OvKid2Z4J3bSpJRdvBc4ojYwquqP+sJawrI3qkj
+        MCVrX3z1Hj9BGSIOIv0KbTvoeCqaY6yO9t4CXtQ5fFvbp1aY2lMx7lvxQyKVKq34KRGGzTZec6R6
+        d28MBt8Ek5rJHG3z29QXUCjwcco67hIpmNTZn2jSRBXilq3TqsfdpQBP4R/xm9VBxfE4mnDmC4TA
+        WprEun8q0H9nOVkn4FoN8X05wjLEEdkr1hRPp52lGMqSqhj66AmYE6LFl59gOEpRpQhJ6/SZDzBj
+        1W5nfWFvAZrwmq/U9orGLtA6uNoeDb43mzIev/5sQP6FnDxLTM/A0h3YVX7BT2XrVCptLgfwVEJE
+        bJLsK1nlngDBnpb8NCAHyMv9+az3l9ghq13i5qKqlxHMWHbn8/y3/d1DDwNrbMvXkSy3vL9lH7iU
+        WU32T2nyhGIgC8x+FP9YdAFGvvYPsGHxmhPVklrB78sDdG4Y8VkP5tOO+h+YKQwTM5a8SmxdYcL4
+        4Hv8mx/5vfR1EIf0StJZf76ptBTgZI06HtTOixXroUVgT2jOV6HzU3G/9z9wcx57grjvtwox0tf3
+        eziyCj+W4hs9QHiOA9xdpDGeortu6eaVUpLCyoqlT0g/UDLZjViq38cz74lA+mF7vul9ks/+2/rq
+        F75yZWmansdLDd3dyDnSig6IJfVczfayFH95yfuspa6xYkeDKTefVeKiL33Yvrqch++ijefxv3Tt
+        hGv+9ePysRaKIaZwx50QVdPQfQbTOFlC566TBNNQB2IBP0/KOdnUiTfH4xLazswDRnBFwzVMfYhg
+        RjnJ6AIM4oY6Qzuwmtsl7KexK/0EGrr/5Nms34ZVsazB7NeY3sUOUJ6J9oHFTgBmbG2jHcejf4I8
+        CbcEb9udxx0jw9AMjj98n0gT6h8yekA6dHv2/EH19PU3BuHdloc0vlbdJjQ/xqzXsfGmBui2mfmB
+        Xz2+y5oTUNy7lhrKJfa/ftj7iL1/giONXYJqcPeG2f9DIwtDLF62HHeHkBawv8cbvomBFfMvX3PP
+        EScWk1UwTDYajY3NEAmHaQUkM3cfMDh0O35YQdLKBVwq8GWxI1vM45EPLSqMXdlZJDp46+/7z4C1
+        4YZj1u5idfMZoGHSbsUMrd1O4woOGF5OozHzr0c1/ND0/ief2Z3PkOje9KN/edPpMTnteI2Gxx/e
+        OPPU6ss/wSn2A+74cQX4/jGaxuGZVdi22gqJRYZ8qLbhHn/eMpg6hdJRF1o2kRVpkkn4xzIFn9vs
+        x2vnAobQXQpgXceObFeQt/3043VQ6fCdgZmXfv0VADbVyX4tjaAXycwvim7LzZ+k8zrwEFf42fon
+        nn+kECi7YkiNmQ8wsJLClt1rrYZhkZ2//CPneDmaMIoCmWRmwabxOqQKDKrsjPVnPaD+GqYYln32
+        wEC2Rm/28xJsS8rJ5oVqMJ6l4WpYG7bm9j3ZA1X0tgnm+GVgqp7xcNqlLnC7ziZHm+rT+NasyLii
+        cTHzZOKNtTLUALfRyPoEbSslfWhn4LnZic2AH4xGaN0NTeCG725yjsb+baXGeMEXBlDrALE0l1d9
+        9res+wEvJMq7mDNvlpNdS3NPsFSc4GZFDxzFsgJGa0I6dPzZj+ztY6WMR/8AtrvsQPZb26iG4TRY
+        hpPRjLscPNqpXl8eOl+HW251wARqvM8OwB2FmPXgCY1XX6u//orp9/zRdmOMHOPU0ZrJcddXog+W
+        B7g5YcSGk+R5ynlv+XDWewSpnomU5GZZ3/1N1mtwjcWzL2tAq0hlUl3v4/4zpAE0l92KZOVkVaop
+        DTqkb3ojWwM07QBipBh9MfO9UD62g3NYfv7sJ6zL52rodmkCzVZ8CHKpMk3xa7SgssxUbhcTiqVa
+        LAOYj37IN5OtTcOrSSNIRrbjDoLYG3fr8wsuUAY5SpoMqRvDf4BZj5JdaeceR6sBGpXKUrJt8iae
+        pjLrQN9kA3eDevBmvxgZkdu5hFBJyrtdZX7Al2cMRqN43XEpXDivJ7cM+YAYOQ8Hbda/3C7yKmcJ
+        1s5wtQze5IBR4437o2WC2U8xlVENCGw8F/BzDi0+54tJfLplCud+BscLS/KE1CIH5mbWMGDlG28q
+        qKWAdZYvmAHpArGTfB6BdcRrJnLo5uKbXwobh/g+60M28xNYy/GabJeT3XaZ5o4wsSIFd4KW+bx/
+        E7hrIk78mR/9+d7IpBe+d71XPiVrS0B8iEa+aylAfffRTIjWouWXvXyehoZ7NdgbbIOTsdjnfUHR
+        FfLQP5NAp3LeWzGKINvGG+LO+YdzrB9g0tPrzIO31bCWPR+0ExV4lKUOcbbVTzDIxUSsrbVHQ9mn
+        W2PmQXiJUYN4ebMk+NEzzr/rN+x7lMC3TRnBZbOIe10fXANH/pasXDmZ+1lUh7N+4Nsc2N6EbYvp
+        Mx/CL9M+ea0z+DU8pZGOQYY23miH5xr6q2D4U0+6iNITfEH/SNYzr+fM1E9fXs59w4rA7A8VeL76
+        MUcPq2vFbaBXMPBs+vIxb+ZNKbyDjpJjKom8m+u5cQpZQKx2MluxsMTD+HHwC6tz/uovk3eHkxe6
+        HDVd1/bujS5gkQeAn3pryAd1fS5gJ3UFFjMfm/TmMoKZr+P6xzMn9TP4ENKU3rhZU6XqT6pXwNnf
+        40Urn/NxUVp3+PVb3sxj30gSNXxZ3ZF4vB6mrz8FeOlvSdb7PO482f1AGWYKnnLJz6f06I9wcOId
+        sU7J3vuuF5j1NTaYXQJRFAJDR4161rh+Xz2IkX5guO5cXmbtKx/01eAbvjoOfHOVNfDNV3Dquisv
+        YhsCsb5R/8t/yOkshUgw7pnQckXL5/wOhN88IRyXscumh6widrS0K0STv+YbP+GIffXnHD/f/t4k
+        W454AXMxfnAfNmXbK3J6gFyPt8QO5EMu3SIRQeiwB9lXcllN+8e4Mub+InfUvPb67Wf5guc0exLk
+        T7dpzk8v2KQs45Zf9KjTT+IKlka25OYx8YB4UBd+9QpZ7yhtpeWtFHDuH5CNXNVgkF1tC2mJfY5k
+        OYuF2Zc+mP059/be05t50gF++1nbQ0cmttwOijHzJLLyHpd4mPnId3/iH4p209jL5wVcf/IFWYN4
+        Namfw5gY/JONTFXlI5j1/woyKRs5dpuFN94HyzeY6ZekPNaT917Ug2/c6uCHu13sTHJOz1tYoXBF
+        MtNi03BOZn/adSesftfLZKLW9xnbYH0BHPCGQ1p8+zk8uDeyJyrVXeq21pn8+GgAYmdJu0L/EQxk
+        jW25FYKJE6zScMXJNpHil4KQa1zz7MWtmZf/6UfP/hffqybNu9lfAenFboRckiSXs4tXfP0UcTyA
+        WgnZzz96jNuruPLGe609YJhGEpYuRe/x1fqC9W8/Ot7VXTz0irYy8kAAtjjM/bRjSQv40EOT1TM/
+        Hi4TusPbXfxw+9OiWN6oKDKyyMfkWCSiZXkxXA1TxyuynvWcbL6WNZzqTMay0aJKyjRXwPn9ZPXw
+        P+1oj0NkOEnUE6cocKtcfe0B4AI/yNbyGjR6kpbonRY6//CgdLVU4PaBLT7zB/TZH30TZum4ZNpb
+        ClrpsneXwBqjjqlzvLcLMV6hcc0g/tZPvrtdAvD7eyrgv/769es/vycMHq/y3MwHA/rz0P/rv48K
+        /Ev9V/c4Nc2fYwisO13Pv//+5wTC73f7erz7/9u/6vOz+/33L+Wfswa/+1d/av7n9b/mv/qvv/4f
+        AAAA//8DAIV5SL/gIAAA
+    headers:
+      CF-RAY:
+      - 94f4c6c3be7efac6-SJC
+      Connection:
+      - keep-alive
+      Content-Encoding:
+      - gzip
+      Content-Type:
+      - application/json
+      Date:
+      - Fri, 13 Jun 2025 21:45:42 GMT
+      Server:
+      - cloudflare
+      Transfer-Encoding:
+      - chunked
+      X-Content-Type-Options:
+      - nosniff
+      access-control-allow-origin:
+      - '*'
+      access-control-expose-headers:
+      - X-Request-ID
+      alt-svc:
+      - h3=":443"; ma=86400
+      cf-cache-status:
+      - DYNAMIC
+      openai-model:
+      - text-embedding-3-small
+      openai-organization:
+      - crewai-iuxna1
+      openai-processing-ms:
+      - '128'
+      openai-version:
+      - '2020-10-01'
+      strict-transport-security:
+      - max-age=31536000; includeSubDomains; preload
+      via:
+      - envoy-router-675c5bcfc8-v6fpw
+      x-envoy-upstream-service-time:
+      - '131'
+      x-ratelimit-limit-requests:
+      - '10000'
+      x-ratelimit-limit-tokens:
+      - '10000000'
+      x-ratelimit-remaining-requests:
+      - '9999'
+      x-ratelimit-remaining-tokens:
+      - '9999972'
+      x-ratelimit-reset-requests:
+      - 6ms
+      x-ratelimit-reset-tokens:
+      - 0s
+      x-request-id:
+      - req_7f9985e9b536960af27b96d0fd747fbb
+    status:
+      code: 200
+      message: OK
 version: 1

tests/crew_test.py

@@ -856,18 +856,22 @@ def test_crew_verbose_output(researcher, writer, capsys):
     )
 
     expected_strings = [
-        "\x1b[1m\x1b[95m# Agent:\x1b[00m \x1b[1m\x1b[92mResearcher",
-        "\x1b[00m\n\x1b[95m## Task:\x1b[00m \x1b[92mResearch AI advancements.",
-        "\x1b[1m\x1b[95m# Agent:\x1b[00m \x1b[1m\x1b[92mSenior Writer",
-        "\x1b[95m## Task:\x1b[00m \x1b[92mWrite about AI in healthcare.",
-        "\n\n\x1b[1m\x1b[95m# Agent:\x1b[00m \x1b[1m\x1b[92mResearcher",
-        "\x1b[00m\n\x1b[95m## Final Answer:",
-        "\n\n\x1b[1m\x1b[95m# Agent:\x1b[00m \x1b[1m\x1b[92mSenior Writer",
-        "\x1b[00m\n\x1b[95m## Final Answer:",
+        "🤖 Agent Started",
+        "Agent: Researcher",
+        "Task: Research AI advancements.",
+        "✅ Agent Final Answer",
+        "Agent: Researcher",
+        "🤖 Agent Started",
+        "Agent: Senior Writer",
+        "Task: Write about AI in healthcare.",
+        "✅ Agent Final Answer",
+        "Agent: Senior Writer",
     ]
 
     for expected_string in expected_strings:
-        assert expected_string in filtered_output
+        assert (
+            expected_string in filtered_output
+        ), f"Expected '{expected_string}' in output, but it was not found."
 
     # Now test with verbose set to False
     crew.verbose = False
@@ -1783,12 +1787,20 @@ def test_hierarchical_kickoff_usage_metrics_include_manager(researcher):
     )
 
     # ── 2.  Stub out each agent’s _token_process.get_summary() ───────────────────
-    researcher_metrics = UsageMetrics(total_tokens=120, prompt_tokens=80, completion_tokens=40, successful_requests=2)
-    manager_metrics = UsageMetrics(total_tokens=30, prompt_tokens=20, completion_tokens=10, successful_requests=1)
+    researcher_metrics = UsageMetrics(
+        total_tokens=120, prompt_tokens=80, completion_tokens=40, successful_requests=2
+    )
+    manager_metrics = UsageMetrics(
+        total_tokens=30, prompt_tokens=20, completion_tokens=10, successful_requests=1
+    )
 
     # Replace the internal _token_process objects with simple mocks
-    researcher._token_process = MagicMock(get_summary=MagicMock(return_value=researcher_metrics))
-    manager._token_process = MagicMock(get_summary=MagicMock(return_value=manager_metrics))
+    researcher._token_process = MagicMock(
+        get_summary=MagicMock(return_value=researcher_metrics)
+    )
+    manager._token_process = MagicMock(
+        get_summary=MagicMock(return_value=manager_metrics)
+    )
 
     # ── 3.  Create the crew (hierarchical!) and kick it off ──────────────────────
     crew = Crew(
@@ -1799,14 +1811,32 @@ def test_hierarchical_kickoff_usage_metrics_include_manager(researcher):
     )
 
     # We don’t care about LLM output here; patch execute_sync to avoid network
-    with patch.object(Task, "execute_sync", return_value=TaskOutput(description="dummy", raw="Hello", agent=researcher.role)):
+    with patch.object(
+        Task,
+        "execute_sync",
+        return_value=TaskOutput(
+            description="dummy", raw="Hello", agent=researcher.role
+        ),
+    ):
         crew.kickoff()
 
     # ── 4.  Assert the aggregated numbers are the *sum* of both agents ───────────
-    assert crew.usage_metrics.total_tokens == researcher_metrics.total_tokens + manager_metrics.total_tokens
-    assert crew.usage_metrics.prompt_tokens == researcher_metrics.prompt_tokens + manager_metrics.prompt_tokens
-    assert crew.usage_metrics.completion_tokens == researcher_metrics.completion_tokens + manager_metrics.completion_tokens
-    assert crew.usage_metrics.successful_requests == researcher_metrics.successful_requests + manager_metrics.successful_requests
+    assert (
+        crew.usage_metrics.total_tokens
+        == researcher_metrics.total_tokens + manager_metrics.total_tokens
+    )
+    assert (
+        crew.usage_metrics.prompt_tokens
+        == researcher_metrics.prompt_tokens + manager_metrics.prompt_tokens
+    )
+    assert (
+        crew.usage_metrics.completion_tokens
+        == researcher_metrics.completion_tokens + manager_metrics.completion_tokens
+    )
+    assert (
+        crew.usage_metrics.successful_requests
+        == researcher_metrics.successful_requests + manager_metrics.successful_requests
+    )
 
 
 @pytest.mark.vcr(filter_headers=["authorization"])
@@ -4450,27 +4480,29 @@ def test_sets_parent_flow_when_inside_flow(researcher, writer):
     assert result.parent_flow is flow
 
 
-def test_reset_knowledge_with_no_crew_knowledge(researcher,writer):
+def test_reset_knowledge_with_no_crew_knowledge(researcher, writer):
     crew = Crew(
         agents=[researcher, writer],
         process=Process.sequential,
         tasks=[
             Task(description="Task 1", expected_output="output", agent=researcher),
             Task(description="Task 2", expected_output="output", agent=writer),
-        ]
+        ],
     )
 
     with pytest.raises(RuntimeError) as excinfo:
-        crew.reset_memories(command_type='knowledge')
-        
+        crew.reset_memories(command_type="knowledge")
+
         # Optionally, you can also check the error message
-    assert "Crew Knowledge and Agent Knowledge memory system is not initialized" in str(excinfo.value)  # Replace with the expected message
+    assert "Crew Knowledge and Agent Knowledge memory system is not initialized" in str(
+        excinfo.value
+    )  # Replace with the expected message
 
 
-def test_reset_knowledge_with_only_crew_knowledge(researcher,writer):
+def test_reset_knowledge_with_only_crew_knowledge(researcher, writer):
     mock_ks = MagicMock(spec=Knowledge)
 
-    with patch.object(Crew,'reset_knowledge') as mock_reset_agent_knowledge:
+    with patch.object(Crew, "reset_knowledge") as mock_reset_agent_knowledge:
         crew = Crew(
             agents=[researcher, writer],
             process=Process.sequential,
@@ -4478,14 +4510,14 @@ def test_reset_knowledge_with_only_crew_knowledge(researcher,writer):
                 Task(description="Task 1", expected_output="output", agent=researcher),
                 Task(description="Task 2", expected_output="output", agent=writer),
             ],
-            knowledge=mock_ks
+            knowledge=mock_ks,
         )
 
-        crew.reset_memories(command_type='knowledge')
+        crew.reset_memories(command_type="knowledge")
         mock_reset_agent_knowledge.assert_called_once_with([mock_ks])
 
 
-def test_reset_knowledge_with_crew_and_agent_knowledge(researcher,writer):
+def test_reset_knowledge_with_crew_and_agent_knowledge(researcher, writer):
     mock_ks_crew = MagicMock(spec=Knowledge)
     mock_ks_research = MagicMock(spec=Knowledge)
     mock_ks_writer = MagicMock(spec=Knowledge)
@@ -4493,7 +4525,7 @@ def test_reset_knowledge_with_crew_and_agent_knowledge(researcher,writer):
     researcher.knowledge = mock_ks_research
     writer.knowledge = mock_ks_writer
 
-    with patch.object(Crew,'reset_knowledge') as mock_reset_agent_knowledge:
+    with patch.object(Crew, "reset_knowledge") as mock_reset_agent_knowledge:
         crew = Crew(
             agents=[researcher, writer],
             process=Process.sequential,
@@ -4501,21 +4533,23 @@ def test_reset_knowledge_with_crew_and_agent_knowledge(researcher,writer):
                 Task(description="Task 1", expected_output="output", agent=researcher),
                 Task(description="Task 2", expected_output="output", agent=writer),
             ],
-            knowledge=mock_ks_crew
+            knowledge=mock_ks_crew,
         )
 
-        crew.reset_memories(command_type='knowledge')
-        mock_reset_agent_knowledge.assert_called_once_with([mock_ks_crew,mock_ks_research,mock_ks_writer])
+        crew.reset_memories(command_type="knowledge")
+        mock_reset_agent_knowledge.assert_called_once_with(
+            [mock_ks_crew, mock_ks_research, mock_ks_writer]
+        )
 
 
-def test_reset_knowledge_with_only_agent_knowledge(researcher,writer):
+def test_reset_knowledge_with_only_agent_knowledge(researcher, writer):
     mock_ks_research = MagicMock(spec=Knowledge)
     mock_ks_writer = MagicMock(spec=Knowledge)
 
     researcher.knowledge = mock_ks_research
     writer.knowledge = mock_ks_writer
 
-    with patch.object(Crew,'reset_knowledge') as mock_reset_agent_knowledge:
+    with patch.object(Crew, "reset_knowledge") as mock_reset_agent_knowledge:
         crew = Crew(
             agents=[researcher, writer],
             process=Process.sequential,
@@ -4525,11 +4559,13 @@ def test_reset_knowledge_with_only_agent_knowledge(researcher,writer):
             ],
         )
 
-        crew.reset_memories(command_type='knowledge')
-        mock_reset_agent_knowledge.assert_called_once_with([mock_ks_research,mock_ks_writer])
+        crew.reset_memories(command_type="knowledge")
+        mock_reset_agent_knowledge.assert_called_once_with(
+            [mock_ks_research, mock_ks_writer]
+        )
 
 
-def test_reset_agent_knowledge_with_no_agent_knowledge(researcher,writer):
+def test_reset_agent_knowledge_with_no_agent_knowledge(researcher, writer):
     crew = Crew(
         agents=[researcher, writer],
         process=Process.sequential,
@@ -4540,13 +4576,15 @@ def test_reset_agent_knowledge_with_no_agent_knowledge(researcher,writer):
     )
 
     with pytest.raises(RuntimeError) as excinfo:
-        crew.reset_memories(command_type='agent_knowledge')
-    
+        crew.reset_memories(command_type="agent_knowledge")
+
     # Optionally, you can also check the error message
-    assert "Agent Knowledge memory system is not initialized" in str(excinfo.value)  # Replace with the expected message
+    assert "Agent Knowledge memory system is not initialized" in str(
+        excinfo.value
+    )  # Replace with the expected message
 
 
-def test_reset_agent_knowledge_with_only_crew_knowledge(researcher,writer):
+def test_reset_agent_knowledge_with_only_crew_knowledge(researcher, writer):
     mock_ks = MagicMock(spec=Knowledge)
 
     crew = Crew(
@@ -4556,17 +4594,19 @@ def test_reset_agent_knowledge_with_only_crew_knowledge(researcher,writer):
             Task(description="Task 1", expected_output="output", agent=researcher),
             Task(description="Task 2", expected_output="output", agent=writer),
         ],
-        knowledge=mock_ks
+        knowledge=mock_ks,
     )
 
     with pytest.raises(RuntimeError) as excinfo:
-        crew.reset_memories(command_type='agent_knowledge')
-    
+        crew.reset_memories(command_type="agent_knowledge")
+
     # Optionally, you can also check the error message
-    assert "Agent Knowledge memory system is not initialized" in str(excinfo.value)  # Replace with the expected message
+    assert "Agent Knowledge memory system is not initialized" in str(
+        excinfo.value
+    )  # Replace with the expected message
 
 
-def test_reset_agent_knowledge_with_crew_and_agent_knowledge(researcher,writer):
+def test_reset_agent_knowledge_with_crew_and_agent_knowledge(researcher, writer):
     mock_ks_crew = MagicMock(spec=Knowledge)
     mock_ks_research = MagicMock(spec=Knowledge)
     mock_ks_writer = MagicMock(spec=Knowledge)
@@ -4574,7 +4614,7 @@ def test_reset_agent_knowledge_with_crew_and_agent_knowledge(researcher,writer):
     researcher.knowledge = mock_ks_research
     writer.knowledge = mock_ks_writer
 
-    with patch.object(Crew,'reset_knowledge') as mock_reset_agent_knowledge:
+    with patch.object(Crew, "reset_knowledge") as mock_reset_agent_knowledge:
         crew = Crew(
             agents=[researcher, writer],
             process=Process.sequential,
@@ -4582,21 +4622,23 @@ def test_reset_agent_knowledge_with_crew_and_agent_knowledge(researcher,writer):
                 Task(description="Task 1", expected_output="output", agent=researcher),
                 Task(description="Task 2", expected_output="output", agent=writer),
             ],
-            knowledge=mock_ks_crew
+            knowledge=mock_ks_crew,
         )
 
-        crew.reset_memories(command_type='agent_knowledge')
-        mock_reset_agent_knowledge.assert_called_once_with([mock_ks_research,mock_ks_writer])
+        crew.reset_memories(command_type="agent_knowledge")
+        mock_reset_agent_knowledge.assert_called_once_with(
+            [mock_ks_research, mock_ks_writer]
+        )
 
 
-def test_reset_agent_knowledge_with_only_agent_knowledge(researcher,writer):
+def test_reset_agent_knowledge_with_only_agent_knowledge(researcher, writer):
     mock_ks_research = MagicMock(spec=Knowledge)
     mock_ks_writer = MagicMock(spec=Knowledge)
 
     researcher.knowledge = mock_ks_research
     writer.knowledge = mock_ks_writer
 
-    with patch.object(Crew,'reset_knowledge') as mock_reset_agent_knowledge:
+    with patch.object(Crew, "reset_knowledge") as mock_reset_agent_knowledge:
         crew = Crew(
             agents=[researcher, writer],
             process=Process.sequential,
@@ -4606,5 +4648,7 @@ def test_reset_agent_knowledge_with_only_agent_knowledge(researcher,writer):
             ],
         )
 
-        crew.reset_memories(command_type='agent_knowledge')
-        mock_reset_agent_knowledge.assert_called_once_with([mock_ks_research,mock_ks_writer])
+        crew.reset_memories(command_type="agent_knowledge")
+        mock_reset_agent_knowledge.assert_called_once_with(
+            [mock_ks_research, mock_ks_writer]
+        )

tests/telemetry/test_telemetry.py

@@ -9,6 +9,14 @@ from crewai.telemetry import Telemetry
 from opentelemetry import trace
 
 
+@pytest.fixture(autouse=True)
+def cleanup_telemetry():
+    """Automatically clean up Telemetry singleton between tests."""
+    Telemetry._instance = None
+    yield
+    Telemetry._instance = None
+
+
 @pytest.mark.parametrize(
     "env_var,value,expected_ready",
     [

tests/telemetry/test_telemetry_disable.py

@@ -1,11 +1,19 @@
 import os
-from unittest.mock import patch
+from unittest.mock import patch, MagicMock
 
 import pytest
 
 from crewai.telemetry import Telemetry
 
 
+@pytest.fixture(autouse=True)
+def cleanup_telemetry():
+    """Automatically clean up Telemetry singleton between tests."""
+    Telemetry._instance = None
+    yield
+    Telemetry._instance = None
+
+
 @pytest.mark.parametrize("env_var,value,expected_ready", [
     ("OTEL_SDK_DISABLED", "true", False),
     ("OTEL_SDK_DISABLED", "TRUE", False),
@@ -28,3 +36,59 @@ def test_telemetry_enabled_by_default():
         with patch("crewai.telemetry.telemetry.TracerProvider"):
             telemetry = Telemetry()
             assert telemetry.ready is True
+
+
+def test_telemetry_disable_after_singleton_creation():
+    """Test that telemetry operations are disabled when env var is set after singleton creation."""
+    with patch.dict(os.environ, {}, clear=True):
+        with patch("crewai.telemetry.telemetry.TracerProvider"):
+            telemetry = Telemetry()
+            assert telemetry.ready is True
+            
+            mock_operation = MagicMock()
+            telemetry._safe_telemetry_operation(mock_operation)
+            mock_operation.assert_called_once()
+            
+            mock_operation.reset_mock()
+            
+            os.environ['CREWAI_DISABLE_TELEMETRY'] = 'true'
+            
+            telemetry._safe_telemetry_operation(mock_operation)
+            mock_operation.assert_not_called()
+
+
+def test_telemetry_disable_with_multiple_instances():
+    """Test that multiple telemetry instances respect dynamically changed env vars."""
+    with patch.dict(os.environ, {}, clear=True):
+        with patch("crewai.telemetry.telemetry.TracerProvider"):
+            telemetry1 = Telemetry()
+            assert telemetry1.ready is True
+            
+            os.environ['CREWAI_DISABLE_TELEMETRY'] = 'true'
+            
+            telemetry2 = Telemetry()
+            assert telemetry2 is telemetry1
+            assert telemetry2.ready is True
+            
+            mock_operation = MagicMock()
+            telemetry2._safe_telemetry_operation(mock_operation)
+            mock_operation.assert_not_called()
+
+
+def test_telemetry_otel_sdk_disabled_after_creation():
+    """Test that OTEL_SDK_DISABLED also works when set after singleton creation."""
+    with patch.dict(os.environ, {}, clear=True):
+        with patch("crewai.telemetry.telemetry.TracerProvider"):
+            telemetry = Telemetry()
+            assert telemetry.ready is True
+            
+            mock_operation = MagicMock()
+            telemetry._safe_telemetry_operation(mock_operation)
+            mock_operation.assert_called_once()
+            
+            mock_operation.reset_mock()
+            
+            os.environ['OTEL_SDK_DISABLED'] = 'true'
+            
+            telemetry._safe_telemetry_operation(mock_operation)
+            mock_operation.assert_not_called()

tests/test_flow_human_input_integration.py

@@ -0,0 +1,167 @@
+import pytest
+from unittest.mock import patch, MagicMock
+from crewai.utilities.events.event_listener import event_listener
+
+
+class TestFlowHumanInputIntegration:
+    """Test integration between Flow execution and human input functionality."""
+
+    def test_console_formatter_pause_resume_methods(self):
+        """Test that ConsoleFormatter pause/resume methods work correctly."""
+        formatter = event_listener.formatter
+        
+        original_paused_state = formatter._live_paused
+        
+        try:
+            formatter._live_paused = False
+            
+            formatter.pause_live_updates()
+            assert formatter._live_paused
+            
+            formatter.resume_live_updates()
+            assert not formatter._live_paused
+        finally:
+            formatter._live_paused = original_paused_state
+
+    @patch('builtins.input', return_value='')
+    def test_human_input_pauses_flow_updates(self, mock_input):
+        """Test that human input pauses Flow status updates."""
+        from crewai.agents.agent_builder.base_agent_executor_mixin import CrewAgentExecutorMixin
+        
+        executor = CrewAgentExecutorMixin()
+        executor.crew = MagicMock()
+        executor.crew._train = False
+        executor._printer = MagicMock()
+        
+        formatter = event_listener.formatter
+        
+        original_paused_state = formatter._live_paused
+        
+        try:
+            formatter._live_paused = False
+            
+            with patch.object(formatter, 'pause_live_updates') as mock_pause, \
+                 patch.object(formatter, 'resume_live_updates') as mock_resume:
+                
+                result = executor._ask_human_input("Test result")
+                
+                mock_pause.assert_called_once()
+                mock_resume.assert_called_once()
+                mock_input.assert_called_once()
+                assert result == ''
+        finally:
+            formatter._live_paused = original_paused_state
+
+    @patch('builtins.input', side_effect=['feedback', ''])
+    def test_multiple_human_input_rounds(self, mock_input):
+        """Test multiple rounds of human input with Flow status management."""
+        from crewai.agents.agent_builder.base_agent_executor_mixin import CrewAgentExecutorMixin
+        
+        executor = CrewAgentExecutorMixin()
+        executor.crew = MagicMock()
+        executor.crew._train = False
+        executor._printer = MagicMock()
+        
+        formatter = event_listener.formatter
+        
+        original_paused_state = formatter._live_paused
+        
+        try:
+            pause_calls = []
+            resume_calls = []
+            
+            def track_pause():
+                pause_calls.append(True)
+                
+            def track_resume():
+                resume_calls.append(True)
+            
+            with patch.object(formatter, 'pause_live_updates', side_effect=track_pause), \
+                 patch.object(formatter, 'resume_live_updates', side_effect=track_resume):
+                
+                result1 = executor._ask_human_input("Test result 1")
+                assert result1 == 'feedback'
+                
+                result2 = executor._ask_human_input("Test result 2")
+                assert result2 == ''
+                
+                assert len(pause_calls) == 2
+                assert len(resume_calls) == 2
+        finally:
+            formatter._live_paused = original_paused_state
+
+    def test_pause_resume_with_no_live_session(self):
+        """Test pause/resume methods handle case when no Live session exists."""
+        formatter = event_listener.formatter
+        
+        original_live = formatter._live
+        original_paused_state = formatter._live_paused
+        
+        try:
+            formatter._live = None
+            formatter._live_paused = False
+            
+            formatter.pause_live_updates()
+            formatter.resume_live_updates()
+            
+            assert not formatter._live_paused
+        finally:
+            formatter._live = original_live
+            formatter._live_paused = original_paused_state
+
+    def test_pause_resume_exception_handling(self):
+        """Test that resume is called even if exception occurs during human input."""
+        from crewai.agents.agent_builder.base_agent_executor_mixin import CrewAgentExecutorMixin
+        
+        executor = CrewAgentExecutorMixin()
+        executor.crew = MagicMock()
+        executor.crew._train = False
+        executor._printer = MagicMock()
+        
+        formatter = event_listener.formatter
+        
+        original_paused_state = formatter._live_paused
+        
+        try:
+            with patch.object(formatter, 'pause_live_updates') as mock_pause, \
+                 patch.object(formatter, 'resume_live_updates') as mock_resume, \
+                 patch('builtins.input', side_effect=KeyboardInterrupt("Test exception")):
+                
+                with pytest.raises(KeyboardInterrupt):
+                    executor._ask_human_input("Test result")
+                
+                mock_pause.assert_called_once()
+                mock_resume.assert_called_once()
+        finally:
+            formatter._live_paused = original_paused_state
+
+    def test_training_mode_human_input(self):
+        """Test human input in training mode."""
+        from crewai.agents.agent_builder.base_agent_executor_mixin import CrewAgentExecutorMixin
+        
+        executor = CrewAgentExecutorMixin()
+        executor.crew = MagicMock()
+        executor.crew._train = True
+        executor._printer = MagicMock()
+        
+        formatter = event_listener.formatter
+        
+        original_paused_state = formatter._live_paused
+        
+        try:
+            with patch.object(formatter, 'pause_live_updates') as mock_pause, \
+                 patch.object(formatter, 'resume_live_updates') as mock_resume, \
+                 patch('builtins.input', return_value='training feedback'):
+                
+                result = executor._ask_human_input("Test result")
+                
+                mock_pause.assert_called_once()
+                mock_resume.assert_called_once()
+                assert result == 'training feedback'
+                
+                executor._printer.print.assert_called()
+                call_args = [call[1]['content'] for call in executor._printer.print.call_args_list]
+                training_prompt_found = any('TRAINING MODE' in content for content in call_args)
+                assert training_prompt_found
+        finally:
+            formatter._live_paused = original_paused_state

tests/test_lite_agent.py

@@ -1,4 +1,4 @@
-import asyncio
+from collections import defaultdict
 from typing import cast
 from unittest.mock import Mock
 
@@ -313,5 +313,108 @@ def test_sets_parent_flow_when_inside_flow():
             nonlocal captured_agent
             captured_agent = source
 
-        result = flow.kickoff()
+        flow.kickoff()
         assert captured_agent.parent_flow is flow
+
+@pytest.mark.vcr(filter_headers=["authorization"])
+def test_guardrail_is_called_using_string():
+    guardrail_events = defaultdict(list)
+    from crewai.utilities.events import LLMGuardrailCompletedEvent, LLMGuardrailStartedEvent
+    with crewai_event_bus.scoped_handlers():
+        @crewai_event_bus.on(LLMGuardrailStartedEvent)
+        def capture_guardrail_started(source, event):
+            guardrail_events["started"].append(event)
+
+        @crewai_event_bus.on(LLMGuardrailCompletedEvent)
+        def capture_guardrail_completed(source, event):
+            guardrail_events["completed"].append(event)
+
+        agent = Agent(
+            role="Sports Analyst",
+            goal="Gather information about the best soccer players",
+            backstory="""You are an expert at gathering and organizing information. You carefully collect details and present them in a structured way.""",
+            guardrail="""Only include Brazilian players, both women and men""",
+        )
+
+        result = agent.kickoff(messages="Top 10 best players in the world?")
+
+        assert len(guardrail_events['started']) == 2
+        assert len(guardrail_events['completed']) == 2
+        assert not guardrail_events['completed'][0].success
+        assert guardrail_events['completed'][1].success
+        assert "Here are the top 10 best soccer players in the world, focusing exclusively on Brazilian players" in result.raw
+
+@pytest.mark.vcr(filter_headers=["authorization"])
+def test_guardrail_is_called_using_callable():
+    guardrail_events = defaultdict(list)
+    from crewai.utilities.events import LLMGuardrailCompletedEvent, LLMGuardrailStartedEvent
+    with crewai_event_bus.scoped_handlers():
+        @crewai_event_bus.on(LLMGuardrailStartedEvent)
+        def capture_guardrail_started(source, event):
+            guardrail_events["started"].append(event)
+
+        @crewai_event_bus.on(LLMGuardrailCompletedEvent)
+        def capture_guardrail_completed(source, event):
+            guardrail_events["completed"].append(event)
+
+        agent = Agent(
+            role="Sports Analyst",
+            goal="Gather information about the best soccer players",
+            backstory="""You are an expert at gathering and organizing information. You carefully collect details and present them in a structured way.""",
+            guardrail=lambda output: (True, "Pelé - Santos, 1958"),
+        )
+
+        result = agent.kickoff(messages="Top 1 best players in the world?")
+
+        assert len(guardrail_events['started']) == 1
+        assert len(guardrail_events['completed']) == 1
+        assert guardrail_events['completed'][0].success
+        assert "Pelé - Santos, 1958" in result.raw
+
+@pytest.mark.vcr(filter_headers=["authorization"])
+def test_guardrail_reached_attempt_limit():
+    guardrail_events = defaultdict(list)
+    from crewai.utilities.events import LLMGuardrailCompletedEvent, LLMGuardrailStartedEvent
+    with crewai_event_bus.scoped_handlers():
+        @crewai_event_bus.on(LLMGuardrailStartedEvent)
+        def capture_guardrail_started(source, event):
+            guardrail_events["started"].append(event)
+
+        @crewai_event_bus.on(LLMGuardrailCompletedEvent)
+        def capture_guardrail_completed(source, event):
+            guardrail_events["completed"].append(event)
+
+        agent = Agent(
+            role="Sports Analyst",
+            goal="Gather information about the best soccer players",
+            backstory="""You are an expert at gathering and organizing information. You carefully collect details and present them in a structured way.""",
+            guardrail=lambda output: (False, "You are not allowed to include Brazilian players"),
+            guardrail_max_retries=2,
+        )
+
+        with pytest.raises(Exception, match="Agent's guardrail failed validation after 2 retries"):
+            agent.kickoff(messages="Top 10 best players in the world?")
+
+        assert len(guardrail_events['started']) == 3 # 2 retries + 1 initial call
+        assert len(guardrail_events['completed']) == 3 # 2 retries + 1 initial call
+        assert not guardrail_events['completed'][0].success
+        assert not guardrail_events['completed'][1].success
+        assert not guardrail_events['completed'][2].success
+
+
+@pytest.mark.vcr(filter_headers=["authorization"])
+def test_agent_output_when_guardrail_returns_base_model():
+    class Player(BaseModel):
+        name: str
+        country: str
+
+    agent = Agent(
+        role="Sports Analyst",
+        goal="Gather information about the best soccer players",
+        backstory="""You are an expert at gathering and organizing information. You carefully collect details and present them in a structured way.""",
+        guardrail=lambda output: (True, Player(name="Lionel Messi", country="Argentina")),
+    )
+
+    result = agent.kickoff(messages="Top 10 best players in the world?")
+
+    assert result.pydantic == Player(name="Lionel Messi", country="Argentina")

tests/test_pydantic_compatibility.py

@@ -0,0 +1,133 @@
+"""Tests for Pydantic version compatibility issues."""
+
+from unittest.mock import patch, MagicMock
+from pydantic import BaseModel
+
+from crewai.flow.flow_trackable import FlowTrackable
+from crewai.flow import Flow
+
+
+class TestFlowTrackable(FlowTrackable, BaseModel):
+    """Test class that inherits from FlowTrackable for testing."""
+    name: str = "test"
+
+
+class MockFlow(Flow):
+    """Mock Flow class for testing."""
+    
+    def __init__(self):
+        super().__init__()
+
+
+def test_flow_trackable_instantiation():
+    """Test that FlowTrackable can be instantiated without ValidationInfo errors."""
+    trackable = TestFlowTrackable()
+    assert trackable.name == "test"
+    assert trackable.parent_flow is None
+
+
+def test_flow_trackable_with_parent_flow():
+    """Test that FlowTrackable correctly identifies parent flow from call stack."""
+    mock_flow = MockFlow()
+    
+    def create_trackable_in_flow():
+        return TestFlowTrackable()
+    
+    with patch('inspect.currentframe') as mock_frame:
+        mock_current_frame = MagicMock()
+        mock_parent_frame = MagicMock()
+        mock_flow_frame = MagicMock()
+        
+        mock_current_frame.f_back = mock_parent_frame
+        mock_parent_frame.f_back = mock_flow_frame
+        mock_flow_frame.f_back = None
+        
+        mock_parent_frame.f_locals = {}
+        mock_flow_frame.f_locals = {"self": mock_flow}
+        
+        mock_frame.return_value = mock_current_frame
+        
+        trackable = create_trackable_in_flow()
+        assert trackable.parent_flow == mock_flow
+
+
+def test_flow_trackable_no_parent_flow():
+    """Test that FlowTrackable handles case where no parent flow is found."""
+    with patch('inspect.currentframe') as mock_frame:
+        mock_current_frame = MagicMock()
+        mock_parent_frame = MagicMock()
+        
+        mock_current_frame.f_back = mock_parent_frame
+        mock_parent_frame.f_back = None
+        mock_parent_frame.f_locals = {"self": "not_a_flow"}
+        
+        mock_frame.return_value = mock_current_frame
+        
+        trackable = TestFlowTrackable()
+        assert trackable.parent_flow is None
+
+
+def test_flow_trackable_max_depth_limit():
+    """Test that FlowTrackable respects max_depth limit when searching for parent flow."""
+    with patch('inspect.currentframe') as mock_frame:
+        mock_frames = []
+        for i in range(10):
+            frame = MagicMock()
+            frame.f_locals = {"self": f"frame_{i}"}
+            mock_frames.append(frame)
+        
+        for i in range(len(mock_frames) - 1):
+            mock_frames[i].f_back = mock_frames[i + 1]
+        mock_frames[-1].f_back = None
+        
+        mock_frame.return_value = mock_frames[0]
+        
+        trackable = TestFlowTrackable()
+        assert trackable.parent_flow is None
+
+
+def test_flow_trackable_none_frame():
+    """Test that FlowTrackable handles None frame gracefully."""
+    with patch('inspect.currentframe', return_value=None):
+        trackable = TestFlowTrackable()
+        assert trackable.parent_flow is None
+
+
+def test_pydantic_model_validator_signature():
+    """Test that the model validator has the correct signature for Pydantic compatibility."""
+    import inspect
+    from crewai.flow.flow_trackable import FlowTrackable
+    
+    validator_method = FlowTrackable._set_parent_flow
+    sig = inspect.signature(validator_method)
+    
+    params = list(sig.parameters.keys())
+    assert params == ['self'], f"Expected ['self'], got {params}"
+    
+    assert sig.return_annotation == "FlowTrackable"
+
+
+def test_crew_instantiation_with_flow_trackable():
+    """Test that Crew can be instantiated without ValidationInfo errors (reproduces issue #3011)."""
+    from crewai import Crew, Agent, Task
+    
+    agent = Agent(
+        role="Test Agent",
+        goal="Test goal",
+        backstory="Test backstory"
+    )
+    
+    task = Task(
+        description="Test task",
+        expected_output="Test output",
+        agent=agent
+    )
+    
+    crew = Crew(
+        agents=[agent],
+        tasks=[task]
+    )
+    
+    assert crew is not None
+    assert len(crew.agents) == 1
+    assert len(crew.tasks) == 1

tests/utilities/test_console_formatter_pause_resume.py

@@ -0,0 +1,116 @@
+from unittest.mock import MagicMock, patch
+from rich.tree import Tree
+from rich.live import Live
+from crewai.utilities.events.utils.console_formatter import ConsoleFormatter
+
+
+class TestConsoleFormatterPauseResume:
+    """Test ConsoleFormatter pause/resume functionality."""
+
+    def test_pause_live_updates_with_active_session(self):
+        """Test pausing when Live session is active."""
+        formatter = ConsoleFormatter()
+        
+        mock_live = MagicMock(spec=Live)
+        formatter._live = mock_live
+        formatter._live_paused = False
+        
+        formatter.pause_live_updates()
+        
+        mock_live.stop.assert_called_once()
+        assert formatter._live_paused
+
+    def test_pause_live_updates_when_already_paused(self):
+        """Test pausing when already paused does nothing."""
+        formatter = ConsoleFormatter()
+        
+        mock_live = MagicMock(spec=Live)
+        formatter._live = mock_live
+        formatter._live_paused = True
+        
+        formatter.pause_live_updates()
+        
+        mock_live.stop.assert_not_called()
+        assert formatter._live_paused
+
+    def test_pause_live_updates_with_no_session(self):
+        """Test pausing when no Live session exists."""
+        formatter = ConsoleFormatter()
+        
+        formatter._live = None
+        formatter._live_paused = False
+        
+        formatter.pause_live_updates()
+        
+        assert formatter._live_paused
+
+    def test_resume_live_updates_when_paused(self):
+        """Test resuming when paused."""
+        formatter = ConsoleFormatter()
+        
+        formatter._live_paused = True
+        
+        formatter.resume_live_updates()
+        
+        assert not formatter._live_paused
+
+    def test_resume_live_updates_when_not_paused(self):
+        """Test resuming when not paused does nothing."""
+        formatter = ConsoleFormatter()
+        
+        formatter._live_paused = False
+        
+        formatter.resume_live_updates()
+        
+        assert not formatter._live_paused
+
+    def test_print_after_resume_restarts_live_session(self):
+        """Test that printing a Tree after resume creates new Live session."""
+        formatter = ConsoleFormatter()
+        
+        formatter._live_paused = True
+        formatter._live = None
+        
+        formatter.resume_live_updates()
+        assert not formatter._live_paused
+        
+        tree = Tree("Test")
+        
+        with patch('crewai.utilities.events.utils.console_formatter.Live') as mock_live_class:
+            mock_live_instance = MagicMock()
+            mock_live_class.return_value = mock_live_instance
+            
+            formatter.print(tree)
+            
+            mock_live_class.assert_called_once()
+            mock_live_instance.start.assert_called_once()
+            assert formatter._live == mock_live_instance
+
+    def test_multiple_pause_resume_cycles(self):
+        """Test multiple pause/resume cycles work correctly."""
+        formatter = ConsoleFormatter()
+        
+        mock_live = MagicMock(spec=Live)
+        formatter._live = mock_live
+        formatter._live_paused = False
+        
+        formatter.pause_live_updates()
+        assert formatter._live_paused
+        mock_live.stop.assert_called_once()
+        assert formatter._live is None  # Live session should be cleared
+        
+        formatter.resume_live_updates()
+        assert not formatter._live_paused
+        
+        formatter.pause_live_updates()
+        assert formatter._live_paused
+        
+        formatter.resume_live_updates()
+        assert not formatter._live_paused
+
+    def test_pause_resume_state_initialization(self):
+        """Test that _live_paused is properly initialized."""
+        formatter = ConsoleFormatter()
+        
+        assert hasattr(formatter, '_live_paused')
+        assert not formatter._live_paused

uv.lock

@@ -725,7 +725,7 @@ wheels = [
 
 [[package]]
 name = "crewai"
-version = "0.126.0"
+version = "0.130.0"
 source = { editable = "." }
 dependencies = [
     { name = "appdirs" },
@@ -814,7 +814,7 @@ requires-dist = [
     { name = "blinker", specifier = ">=1.9.0" },
     { name = "chromadb", specifier = ">=0.5.23" },
     { name = "click", specifier = ">=8.1.7" },
-    { name = "crewai-tools", marker = "extra == 'tools'", specifier = "~=0.46.0" },
+    { name = "crewai-tools", marker = "extra == 'tools'", specifier = "~=0.47.1" },
     { name = "docling", marker = "extra == 'docling'", specifier = ">=2.12.0" },
     { name = "instructor", specifier = ">=1.3.3" },
     { name = "json-repair", specifier = ">=0.25.2" },
@@ -866,7 +866,7 @@ dev = [
 
 [[package]]
 name = "crewai-tools"
-version = "0.46.0"
+version = "0.47.1"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "chromadb" },
@@ -880,10 +880,11 @@ dependencies = [
     { name = "pyright" },
     { name = "pytube" },
     { name = "requests" },
+    { name = "tiktoken" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/0d/9e/69109f5d5b398b2edeccec1055e93cdceac3becd04407bcce97de6557180/crewai_tools-0.46.0.tar.gz", hash = "sha256:c8f89247199d528c77db4b450a1ca781b5d32405982467baf516ede4b2045bd1", size = 913715 }
+sdist = { url = "https://files.pythonhosted.org/packages/0e/cd/fc5a96be8c108febcc2c767714e3ec9b70cca9be8e6b29bba7c1874fb6d2/crewai_tools-0.47.1.tar.gz", hash = "sha256:4de5ebf320aeae317ffabe2e4704b98b5d791f663196871fb5ad2e7bbea14a82", size = 921418 }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/ab/62/0b68637ce820fbb0385495bd6d75ceb27de53f060df5417f293419826481/crewai_tools-0.46.0-py3-none-any.whl", hash = "sha256:f8e60723869ca36ede7b43dcc1491ebefc93410a972d97b7b0ce59c4bd7a826b", size = 606190 },
+    { url = "https://files.pythonhosted.org/packages/e3/2c/05d9fa584d9d814c0c8c4c3793df572222417695fe3d716f14bc274376d6/crewai_tools-0.47.1-py3-none-any.whl", hash = "sha256:4dc9bb0a08e3afa33c6b9efb163e47181801a7906be7241977426e6d3dec0a05", size = 606305 },
 ]
 
 [[package]]