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feat: log usage tools when called by LLM (#2916)
* feat: log usage tools when called by LLM * feat: print llm tool usage in console
This commit is contained in:
Lucas Gomide
@@ -5,7 +5,7 @@ import sys
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import threading
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import warnings
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from collections import defaultdict
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from contextlib import contextmanager, redirect_stderr, redirect_stdout
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from contextlib import contextmanager
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from typing import (
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Any,
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DefaultDict,
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@@ -18,7 +18,7 @@ from typing import (
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Union,
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cast,
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)
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from datetime import datetime
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from dotenv import load_dotenv
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from litellm.types.utils import ChatCompletionDeltaToolCall
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from pydantic import BaseModel, Field
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@@ -30,6 +30,11 @@ from crewai.utilities.events.llm_events import (
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LLMCallType,
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LLMStreamChunkEvent,
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)
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from crewai.utilities.events.tool_usage_events import (
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ToolUsageStartedEvent,
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ToolUsageFinishedEvent,
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ToolUsageErrorEvent,
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)
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with warnings.catch_warnings():
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warnings.simplefilter("ignore", UserWarning)
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@@ -833,7 +838,26 @@ class LLM(BaseLLM):
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fn = available_functions[function_name]
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# --- 3.2) Execute function
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assert hasattr(crewai_event_bus, "emit")
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started_at = datetime.now()
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crewai_event_bus.emit(
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self,
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event=ToolUsageStartedEvent(
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tool_name=function_name,
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tool_args=function_args,
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),
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)
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result = fn(**function_args)
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crewai_event_bus.emit(
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self,
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event=ToolUsageFinishedEvent(
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output=result,
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tool_name=function_name,
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tool_args=function_args,
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started_at=started_at,
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finished_at=datetime.now(),
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),
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)
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# --- 3.3) Emit success event
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self._handle_emit_call_events(result, LLMCallType.TOOL_CALL)
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@@ -849,6 +873,14 @@ class LLM(BaseLLM):
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self,
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event=LLMCallFailedEvent(error=f"Tool execution error: {str(e)}"),
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)
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crewai_event_bus.emit(
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self,
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event=ToolUsageErrorEvent(
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tool_name=function_name,
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tool_args=function_args,
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error=f"Tool execution error: {str(e)}"
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),
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)
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return None
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def call(
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@@ -2,7 +2,7 @@ from io import StringIO
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from typing import Any, Dict
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from pydantic import Field, PrivateAttr
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from crewai.llm import LLM
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from crewai.task import Task
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from crewai.telemetry.telemetry import Telemetry
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from crewai.utilities import Logger
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@@ -286,27 +286,43 @@ class EventListener(BaseEventListener):
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@crewai_event_bus.on(ToolUsageStartedEvent)
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def on_tool_usage_started(source, event: ToolUsageStartedEvent):
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self.formatter.handle_tool_usage_started(
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self.formatter.current_agent_branch,
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event.tool_name,
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if isinstance(source, LLM):
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self.formatter.handle_llm_tool_usage_started(
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event.tool_name,
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)
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else:
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self.formatter.handle_tool_usage_started(
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self.formatter.current_agent_branch,
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event.tool_name,
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self.formatter.current_crew_tree,
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)
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@crewai_event_bus.on(ToolUsageFinishedEvent)
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def on_tool_usage_finished(source, event: ToolUsageFinishedEvent):
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self.formatter.handle_tool_usage_finished(
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self.formatter.current_tool_branch,
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event.tool_name,
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self.formatter.current_crew_tree,
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)
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if isinstance(source, LLM):
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self.formatter.handle_llm_tool_usage_finished(
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event.tool_name,
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)
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else:
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self.formatter.handle_tool_usage_finished(
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self.formatter.current_tool_branch,
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event.tool_name,
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self.formatter.current_crew_tree,
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)
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@crewai_event_bus.on(ToolUsageErrorEvent)
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def on_tool_usage_error(source, event: ToolUsageErrorEvent):
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self.formatter.handle_tool_usage_error(
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self.formatter.current_tool_branch,
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event.tool_name,
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event.error,
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self.formatter.current_crew_tree,
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if isinstance(source, LLM):
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self.formatter.handle_llm_tool_usage_error(
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event.tool_name,
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event.error,
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)
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else:
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self.formatter.handle_tool_usage_error(
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self.formatter.current_tool_branch,
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event.tool_name,
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event.error,
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self.formatter.current_crew_tree,
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)
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# ----------- LLM EVENTS -----------
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@@ -7,11 +7,11 @@ from .base_events import BaseEvent
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class ToolUsageEvent(BaseEvent):
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"""Base event for tool usage tracking"""
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agent_key: str
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agent_role: str
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agent_key: Optional[str] = None
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agent_role: Optional[str] = None
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tool_name: str
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tool_args: Dict[str, Any] | str
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tool_class: str
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tool_class: Optional[str] = None
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run_attempts: int | None = None
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delegations: int | None = None
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agent: Optional[Any] = None
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@@ -26,6 +26,7 @@ class ConsoleFormatter:
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_spinner_thread: Optional[threading.Thread] = None
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_stop_spinner_event: Optional[threading.Event] = None
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_spinner_running: bool = False
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current_llm_tool_tree: Optional[Tree] = None
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def __init__(self, verbose: bool = False):
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self.console = Console(width=None)
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@@ -469,6 +470,51 @@ class ConsoleFormatter:
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self.print()
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return method_branch
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def get_llm_tree(self, tool_name: str):
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text = Text()
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text.append(f"🔧 Using {tool_name} from LLM available_function", style="yellow")
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tree = self.current_flow_tree or self.current_crew_tree
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if tree:
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tree.add(text)
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return tree or Tree(text)
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def handle_llm_tool_usage_started(
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self,
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tool_name: str,
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):
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tree = self.get_llm_tree(tool_name)
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self.add_tree_node(tree, "🔄 Tool Usage Started", "green")
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self.print(tree)
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self.print()
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return tree
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def handle_llm_tool_usage_finished(
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self,
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tool_name: str,
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):
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tree = self.get_llm_tree(tool_name)
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self.add_tree_node(tree, "✅ Tool Usage Completed", "green")
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self.print(tree)
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self.print()
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def handle_llm_tool_usage_error(
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self,
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tool_name: str,
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error: str,
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):
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tree = self.get_llm_tree(tool_name)
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self.add_tree_node(tree, "❌ Tool Usage Failed", "red")
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self.print(tree)
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self.print()
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error_content = self.create_status_content(
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"Tool Usage Failed", tool_name, "red", Error=error
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)
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self.print_panel(error_content, "Tool Error", "red")
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def handle_tool_usage_started(
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self,
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agent_branch: Optional[Tree],
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143
tests/cassettes/test_handle_streaming_tool_calls_with_error.yaml
Normal file
143
tests/cassettes/test_handle_streaming_tool_calls_with_error.yaml
Normal file
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||||
headers:
|
||||
Accept:
|
||||
- '*/*'
|
||||
@@ -567,7 +241,7 @@ interactions:
|
||||
Connection:
|
||||
- keep-alive
|
||||
Content-Length:
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||||
- '20189'
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||||
- '1626'
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||||
Content-Type:
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||||
- application/x-protobuf
|
||||
User-Agent:
|
||||
@@ -583,7 +257,7 @@ interactions:
|
||||
Content-Type:
|
||||
- application/x-protobuf
|
||||
Date:
|
||||
- Tue, 27 May 2025 08:13:25 GMT
|
||||
- Thu, 29 May 2025 13:57:17 GMT
|
||||
status:
|
||||
code: 200
|
||||
message: OK
|
||||
|
||||
@@ -2,7 +2,6 @@ import os
|
||||
from time import sleep
|
||||
from unittest.mock import MagicMock, patch
|
||||
|
||||
import litellm
|
||||
import pytest
|
||||
from pydantic import BaseModel
|
||||
|
||||
@@ -11,7 +10,11 @@ from crewai.llm import CONTEXT_WINDOW_USAGE_RATIO, LLM
|
||||
from crewai.utilities.events import (
|
||||
LLMCallCompletedEvent,
|
||||
LLMStreamChunkEvent,
|
||||
ToolUsageStartedEvent,
|
||||
ToolUsageFinishedEvent,
|
||||
ToolUsageErrorEvent,
|
||||
)
|
||||
|
||||
from crewai.utilities.token_counter_callback import TokenCalcHandler
|
||||
|
||||
|
||||
@@ -222,7 +225,7 @@ def test_get_custom_llm_provider_gemini():
|
||||
|
||||
def test_get_custom_llm_provider_openai():
|
||||
llm = LLM(model="gpt-4")
|
||||
assert llm._get_custom_llm_provider() == None
|
||||
assert llm._get_custom_llm_provider() is None
|
||||
|
||||
|
||||
def test_validate_call_params_supported():
|
||||
@@ -511,12 +514,18 @@ def assert_event_count(
|
||||
expected_completed_tool_call: int = 0,
|
||||
expected_stream_chunk: int = 0,
|
||||
expected_completed_llm_call: int = 0,
|
||||
expected_tool_usage_started: int = 0,
|
||||
expected_tool_usage_finished: int = 0,
|
||||
expected_tool_usage_error: int = 0,
|
||||
expected_final_chunk_result: str = "",
|
||||
):
|
||||
event_count = {
|
||||
"completed_tool_call": 0,
|
||||
"stream_chunk": 0,
|
||||
"completed_llm_call": 0,
|
||||
"tool_usage_started": 0,
|
||||
"tool_usage_finished": 0,
|
||||
"tool_usage_error": 0,
|
||||
}
|
||||
final_chunk_result = ""
|
||||
for _call in mock_emit.call_args_list:
|
||||
@@ -535,12 +544,21 @@ def assert_event_count(
|
||||
and event.call_type.value == "llm_call"
|
||||
):
|
||||
event_count["completed_llm_call"] += 1
|
||||
elif isinstance(event, ToolUsageStartedEvent):
|
||||
event_count["tool_usage_started"] += 1
|
||||
elif isinstance(event, ToolUsageFinishedEvent):
|
||||
event_count["tool_usage_finished"] += 1
|
||||
elif isinstance(event, ToolUsageErrorEvent):
|
||||
event_count["tool_usage_error"] += 1
|
||||
else:
|
||||
continue
|
||||
|
||||
assert event_count["completed_tool_call"] == expected_completed_tool_call
|
||||
assert event_count["stream_chunk"] == expected_stream_chunk
|
||||
assert event_count["completed_llm_call"] == expected_completed_llm_call
|
||||
assert event_count["tool_usage_started"] == expected_tool_usage_started
|
||||
assert event_count["tool_usage_finished"] == expected_tool_usage_finished
|
||||
assert event_count["tool_usage_error"] == expected_tool_usage_error
|
||||
assert final_chunk_result == expected_final_chunk_result
|
||||
|
||||
|
||||
@@ -574,6 +592,34 @@ def test_handle_streaming_tool_calls(get_weather_tool_schema, mock_emit):
|
||||
expected_completed_tool_call=1,
|
||||
expected_stream_chunk=10,
|
||||
expected_completed_llm_call=1,
|
||||
expected_tool_usage_started=1,
|
||||
expected_tool_usage_finished=1,
|
||||
expected_final_chunk_result=expected_final_chunk_result,
|
||||
)
|
||||
|
||||
@pytest.mark.vcr(filter_headers=["authorization"])
|
||||
def test_handle_streaming_tool_calls_with_error(get_weather_tool_schema, mock_emit):
|
||||
def get_weather_error(location):
|
||||
raise Exception("Error")
|
||||
|
||||
llm = LLM(model="openai/gpt-4o", stream=True)
|
||||
response = llm.call(
|
||||
messages=[
|
||||
{"role": "user", "content": "What is the weather in New York?"},
|
||||
],
|
||||
tools=[get_weather_tool_schema],
|
||||
available_functions={
|
||||
"get_weather": get_weather_error
|
||||
},
|
||||
)
|
||||
assert response == ""
|
||||
expected_final_chunk_result = '{"location":"New York, NY"}'
|
||||
assert_event_count(
|
||||
mock_emit=mock_emit,
|
||||
expected_stream_chunk=9,
|
||||
expected_completed_llm_call=1,
|
||||
expected_tool_usage_started=1,
|
||||
expected_tool_usage_error=1,
|
||||
expected_final_chunk_result=expected_final_chunk_result,
|
||||
)
|
||||
|
||||
|
||||
Reference in New Issue
Block a user