arcade-mcp/toolkits/linkedin/evals/eval_linkedin.py
Eric Gustin ca11ec9fa3
Add toolkits (#514)
Add Linkedin, Zendesk, Math, and Postgres toolkits
2025-07-25 15:44:06 -07:00

48 lines
1.5 KiB
Python

from arcade_evals import (
EvalRubric,
EvalSuite,
ExpectedToolCall,
SimilarityCritic,
tool_eval,
)
from arcade_tdk import ToolCatalog
import arcade_linkedin
from arcade_linkedin.tools.share import create_text_post
rubric = EvalRubric(
fail_threshold=0.85,
warn_threshold=0.95,
)
catalog = ToolCatalog()
catalog.add_module(arcade_linkedin)
@tool_eval()
def linkedin_eval_suite():
suite = EvalSuite(
name="LinkedIn Tools Evaluation",
system_message="You are an AI assistant with access to LinkedIn tools. Use them to help the user with their tasks.",
catalog=catalog,
rubric=rubric,
)
suite.add_case(
name="Run code",
user_message="post this transcription to linkedin. there may be some things that you need to clean up since it was spoken.: 'It is with great pleasure that I announce that I am now a member of the LinkedIn community! I'd like to thank the LinkedIn team for their support and encouragement in my journey to success. hash tag Y2K'",
expected_tool_calls=[
ExpectedToolCall(
func=create_text_post,
args={
"text": "It is with great pleasure that I announce that I am now a member of the LinkedIn community! I'd like to thank the LinkedIn team for their support and encouragement in my journey to success. #Y2K",
},
)
],
critics=[
SimilarityCritic(critic_field="text", weight=1.0),
],
)
return suite