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https://github.com/crewAIInc/crewAI.git
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3 Commits
undo-agent
...
fix/traini
| Author | SHA1 | Date | |
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d84766c356 | ||
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6187e458fe | ||
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2ec68501ae |
@@ -33,7 +33,7 @@ Think of an agent as a member of a team, with specific skills and a particular j
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| **Verbose** *(optional)* | `verbose` | Setting this to `True` configures the internal logger to provide detailed execution logs, aiding in debugging and monitoring. Default is `False`. |
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| **Allow Delegation** *(optional)* | `allow_delegation` | Agents can delegate tasks or questions to one another, ensuring that each task is handled by the most suitable agent. Default is `False`.
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| **Step Callback** *(optional)* | `step_callback` | A function that is called after each step of the agent. This can be used to log the agent's actions or to perform other operations. It will overwrite the crew `step_callback`. |
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| **Cache** *(optional)* | `cache` | Indicates if the agent should use a cache for tool usage. Default is `True`. |
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| gbv vbn zzdsxcdsdfc**Cache** *(optional)* | `cache` | Indicates if the agent should use a cache for tool usage. Default is `True`. |
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| **System Template** *(optional)* | `system_template` | Specifies the system format for the agent. Default is `None`. |
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| **Prompt Template** *(optional)* | `prompt_template` | Specifies the prompt format for the agent. Default is `None`. |
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| **Response Template** *(optional)* | `response_template` | Specifies the response format for the agent. Default is `None`. |
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@@ -15,18 +15,27 @@ from crewai.utilities.constants import TRAINED_AGENTS_DATA_FILE, TRAINING_DATA_F
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from crewai.utilities.token_counter_callback import TokenCalcHandler
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from crewai.utilities.training_handler import CrewTrainingHandler
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agentops = None
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try:
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import agentops # type: ignore # Name "agentops" already defined on line 21
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from agentops import track_agent # type: ignore
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except ImportError:
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def track_agent():
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def mock_agent_ops_provider():
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def track_agent(*args, **kwargs):
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def noop(f):
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return f
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return noop
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return track_agent
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agentops = None
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if os.environ.get("AGENTOPS_API_KEY"):
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try:
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from agentops import track_agent
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except ImportError:
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track_agent = mock_agent_ops_provider()
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else:
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track_agent = mock_agent_ops_provider()
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@track_agent()
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class Agent(BaseAgent):
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@@ -81,7 +81,6 @@ class BaseAgentTools(BaseModel, ABC):
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task_with_assigned_agent = Task( # type: ignore # Incompatible types in assignment (expression has type "Task", variable has type "str")
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description=task,
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agent=agent,
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expected_output=agent.i18n.slice("manager_request"),
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i18n=agent.i18n,
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expected_output="Your best answer to your coworker asking you this, accounting for the context shared.",
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)
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return agent.execute_task(task_with_assigned_agent, context)
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@@ -151,7 +151,7 @@ class CrewAgentExecutor(CrewAgentExecutorMixin):
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)
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self.have_forced_answer = True
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self.messages.append(
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self._format_msg(formatted_answer.text, role="assistant")
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self._format_msg(formatted_answer.text, role="user")
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)
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except OutputParserException as e:
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@@ -25,9 +25,7 @@ class PlusAPI:
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def _make_request(self, method: str, endpoint: str, **kwargs) -> requests.Response:
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url = urljoin(self.base_url, endpoint)
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session = requests.Session()
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session.trust_env = False
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return session.request(method, url, headers=self.headers, **kwargs)
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return requests.request(method, url, headers=self.headers, **kwargs)
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def login_to_tool_repository(self):
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return self._make_request("POST", f"{self.TOOLS_RESOURCE}/login")
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@@ -2,7 +2,7 @@
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import sys
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from {{folder_name}}.crew import {{crew_name}}Crew
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# This main file is intended to be a way for you to run your
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# This main file is intended to be a way for your to run your
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# crew locally, so refrain from adding necessary logic into this file.
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# Replace with inputs you want to test with, it will automatically
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# interpolate any tasks and agents information
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10
src/crewai/cli/templates/tool/.gitignore
vendored
10
src/crewai/cli/templates/tool/.gitignore
vendored
@@ -1,10 +0,0 @@
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# Python-generated files
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__pycache__/
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*.py[oc]
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build/
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dist/
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wheels/
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*.egg-info
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# Virtual environments
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.venv
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@@ -1,10 +1,14 @@
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[project]
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[tool.poetry]
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name = "{{folder_name}}"
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version = "0.1.0"
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description = "Power up your crews with {{folder_name}}"
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authors = ["Your Name <you@example.com>"]
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readme = "README.md"
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requires-python = ">=3.10,<=3.13"
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dependencies = [
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"crewai[tools]>=0.70.1"
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]
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[tool.poetry.dependencies]
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python = ">=3.10,<=3.13"
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crewai = { extras = ["tools"], version = ">=0.70.1,<1.0.0" }
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[build-system]
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requires = ["poetry-core"]
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build-backend = "poetry.core.masonry.api"
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@@ -4,8 +4,6 @@ import platform
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import subprocess
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import tempfile
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from pathlib import Path
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from netrc import netrc
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import stat
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import click
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from rich.console import Console
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@@ -149,7 +147,7 @@ class ToolCommand(BaseCommand, PlusAPIMixin):
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if login_response.status_code != 200:
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console.print(
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"Authentication failed. Verify access to the tool repository, or try `crewai login`. ",
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"Failed to authenticate to the tool repository. Make sure you have the access to tools.",
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style="bold red",
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)
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raise SystemExit
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@@ -161,19 +159,23 @@ class ToolCommand(BaseCommand, PlusAPIMixin):
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"Successfully authenticated to the tool repository.", style="bold green"
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)
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def _set_netrc_credentials(self, credentials, netrc_path=None):
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if not netrc_path:
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netrc_filename = "_netrc" if platform.system() == "Windows" else ".netrc"
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netrc_path = Path.home() / netrc_filename
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netrc_path.touch(mode=stat.S_IRUSR | stat.S_IWUSR, exist_ok=True)
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def _set_netrc_credentials(self, credentials):
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# Create .netrc or _netrc file
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netrc_filename = "_netrc" if platform.system() == "Windows" else ".netrc"
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netrc_path = Path.home() / netrc_filename
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netrc_instance = netrc(file=netrc_path)
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netrc_instance.hosts["app.crewai.com"] = (credentials["username"], "", credentials["password"])
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netrc_content = f"""machine app.crewai.com
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login {credentials['username']}
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password {credentials['password']}
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"""
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with open(netrc_path, 'w') as file:
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file.write(str(netrc_instance))
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with open(netrc_path, "a") as netrc_file:
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netrc_file.write(netrc_content)
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console.print(f"Added credentials to {netrc_path}", style="bold green")
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# Set appropriate permissions for Unix-like systems
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if platform.system() != "Windows":
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os.chmod(netrc_path, 0o600)
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console.print(f"Added credentials to {netrc_filename}", style="bold green")
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def _add_package(self, tool_details):
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tool_handle = tool_details["handle"]
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@@ -1,5 +1,6 @@
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import asyncio
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import json
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import os
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import uuid
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import warnings
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from concurrent.futures import Future
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@@ -47,10 +48,12 @@ from crewai.utilities.planning_handler import CrewPlanner
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from crewai.utilities.task_output_storage_handler import TaskOutputStorageHandler
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from crewai.utilities.training_handler import CrewTrainingHandler
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try:
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import agentops
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except ImportError:
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agentops = None
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agentops = None
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if os.environ.get("AGENTOPS_API_KEY"):
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try:
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import agentops # type: ignore
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except ImportError:
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pass
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if TYPE_CHECKING:
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from crewai.pipeline.pipeline import Pipeline
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@@ -1,22 +1,26 @@
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import ast
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import datetime
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import os
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import time
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from difflib import SequenceMatcher
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from textwrap import dedent
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from typing import Any, List, Union
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import crewai.utilities.events as events
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from crewai.agents.tools_handler import ToolsHandler
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from crewai.task import Task
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from crewai.telemetry import Telemetry
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from crewai.tools.tool_calling import InstructorToolCalling, ToolCalling
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from crewai.tools.tool_usage_events import ToolUsageError, ToolUsageFinished
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from crewai.utilities import I18N, Converter, ConverterError, Printer
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import crewai.utilities.events as events
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try:
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import agentops
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except ImportError:
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agentops = None
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agentops = None
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if os.environ.get("AGENTOPS_API_KEY"):
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try:
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import agentops # type: ignore
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except ImportError:
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pass
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OPENAI_BIGGER_MODELS = ["gpt-4", "gpt-4o", "o1-preview", "o1-mini"]
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@@ -20,8 +20,7 @@
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"getting_input": "This is the agent's final answer: {final_answer}\n\n",
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"summarizer_system_message": "You are a helpful assistant that summarizes text.",
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"sumamrize_instruction": "Summarize the following text, make sure to include all the important information: {group}",
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"summary": "This is a summary of our conversation so far:\n{merged_summary}",
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"manager_request": "Your best answer to your coworker asking you this, accounting for the context shared."
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"summary": "This is a summary of our conversation so far:\n{merged_summary}"
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},
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"errors": {
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"force_final_answer_error": "You can't keep going, this was the best you could do.\n {formatted_answer.text}",
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@@ -1,3 +1,4 @@
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import os
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from typing import List
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from pydantic import BaseModel, Field
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@@ -6,16 +7,26 @@ from crewai.utilities import Converter
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from crewai.utilities.pydantic_schema_parser import PydanticSchemaParser
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agentops = None
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try:
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from agentops import track_agent
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except ImportError:
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def track_agent(name):
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def mock_agent_ops_provider():
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def track_agent(*args, **kwargs):
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def noop(f):
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return f
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return noop
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return track_agent
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agentops = None
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if os.environ.get("AGENTOPS_API_KEY"):
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try:
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from agentops import track_agent
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except ImportError:
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track_agent = mock_agent_ops_provider()
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else:
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track_agent = mock_agent_ops_provider()
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class Entity(BaseModel):
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name: str = Field(description="The name of the entity.")
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@@ -92,20 +92,16 @@ class TestPlusAPI(unittest.TestCase):
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)
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self.assertEqual(response, mock_response)
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@patch("crewai.cli.plus_api.requests.Session")
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def test_make_request(self, mock_session):
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@patch("crewai.cli.plus_api.requests.request")
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def test_make_request(self, mock_request):
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mock_response = MagicMock()
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mock_session_instance = mock_session.return_value
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mock_session_instance.request.return_value = mock_response
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mock_request.return_value = mock_response
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response = self.api._make_request("GET", "test_endpoint")
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mock_session.assert_called_once()
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mock_session_instance.request.assert_called_once_with(
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mock_request.assert_called_once_with(
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"GET", f"{self.api.base_url}/test_endpoint", headers=self.api.headers
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)
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mock_session_instance.trust_env = False
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self.assertEqual(response, mock_response)
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@patch("crewai.cli.plus_api.PlusAPI._make_request")
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