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https://github.com/crewAIInc/crewAI.git
synced 2026-01-08 07:38:29 +00:00
Add patronus evaluation tools
remove fields rename eval tool remove eval tool init files
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@@ -22,6 +22,7 @@ from .tools import (
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MultiOnTool,
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MySQLSearchTool,
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NL2SQLTool,
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PatronusEvalTool,
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PDFSearchTool,
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PGSearchTool,
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RagTool,
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@@ -25,6 +25,7 @@ from .mdx_seach_tool.mdx_search_tool import MDXSearchTool
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from .multion_tool.multion_tool import MultiOnTool
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from .mysql_search_tool.mysql_search_tool import MySQLSearchTool
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from .nl2sql.nl2sql_tool import NL2SQLTool
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from .patronus_eval_tool.eval_tool import PatronusEvalTool
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from .pdf_search_tool.pdf_search_tool import PDFSearchTool
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from .pg_seach_tool.pg_search_tool import PGSearchTool
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from .rag.rag_tool import RagTool
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34
src/crewai_tools/tools/patronus_eval_tool/example.py
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34
src/crewai_tools/tools/patronus_eval_tool/example.py
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@@ -0,0 +1,34 @@
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import os
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from crewai import Agent, Crew, Task
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from patronus_eval_tool import PatronusEvalTool
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patronus_eval_tool = PatronusEvalTool(
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evaluators=[{
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"evaluator": "judge",
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"criteria": "patronus:is-code"
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}],
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tags={}
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)
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# Create a new agent
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coding_agent = Agent(
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role="Coding Agent",
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goal="Generate high quality code. Use the evaluation tool to score the agent outputs",
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backstory="Coding agent to generate high quality code. Use the evaluation tool to score the agent outputs",
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tools=[patronus_eval_tool],
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verbose=True,
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)
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# Define tasks
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generate_code = Task(
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description="Create a simple program to generate the first N numbers in the Fibonacci sequence.",
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expected_output="Program that generates the first N numbers in the Fibonacci sequence.",
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agent=coding_agent,
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)
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crew = Crew(agents=[coding_agent], tasks=[generate_code])
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crew.kickoff()
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@@ -0,0 +1,45 @@
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from typing import Any, Optional, Type, cast, ClassVar
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from crewai.tools import BaseTool
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import json
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import os
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import requests
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class PatronusEvalTool(BaseTool):
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"""
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PatronusEvalTool is a tool to automatically evaluate and score agent interactions.
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Results are logged to the Patronus platform at app.patronus.ai
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"""
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name: str = "Call Patronus API tool"
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description: str = (
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"This tool calls the Patronus Evaluation API. This function returns the response from the API."
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)
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evaluate_url: str = "https://api.patronus.ai/v1/evaluate"
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def _run(
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self,
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evaluated_model_input: str,
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evaluated_model_output: str,
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evaluators: list,
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tags: dict
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) -> Any:
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api_key = os.getenv("PATRONUS_API_KEY")
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headers = {
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"X-API-KEY": api_key,
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"accept": "application/json",
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"content-type": "application/json"
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}
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data = {
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"evaluated_model_input": evaluated_model_input,
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"evaluated_model_output": evaluated_model_output,
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"evaluators": evaluators,
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"tags": tags
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}
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# Make the POST request
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response = requests.post(self.evaluate_url, headers=headers, data=json.dumps(data))
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