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chore: fix pre commit format and pipeline issue (#1144)

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Wendong-Fan 2026-02-04 00:06:29 +00:00 • committed by GitHub
parent 2256497dff
commit 893f51fc82
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970 changed files with 11235 additions and 9533 deletions
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36
backend/app/controller/model_controller.py
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@ -66,18 +66,15 @@ async def validate_model(request: ValidateModelRequest):
"platform": platform,
"model_type": model_type,
"has_url": has_custom_url,
"has_config": has_config
}
"has_config": has_config,
},
)
# API key validation
if request.api_key is not None and str(request.api_key).strip() == "":
logger.warning(
"Model validation failed: empty API key",
extra={
"platform": platform,
"model_type": model_type
}
extra={"platform": platform, "model_type": model_type},
)
raise HTTPException(
status_code=400,
@ -89,7 +86,7 @@ async def validate_model(request: ValidateModelRequest):
"param": None,
"code": "invalid_api_key",
},
}
},
)
try:
@ -97,10 +94,7 @@ async def validate_model(request: ValidateModelRequest):
logger.debug(
"Creating agent for validation",
extra={
"platform": platform,
"model_type": model_type
}
extra={"platform": platform, "model_type": model_type},
)
agent = create_agent(
platform,
@ -113,10 +107,7 @@ async def validate_model(request: ValidateModelRequest):
logger.debug(
"Agent created, executing test step",
extra={
"platform": platform,
"model_type": model_type
}
extra={"platform": platform, "model_type": model_type},
)
response = agent.step(
input_message="""
@ -134,9 +125,9 @@ async def validate_model(request: ValidateModelRequest):
extra={
"platform": platform,
"model_type": model_type,
"error": str(e)
"error": str(e),
},
exc_info=True
exc_info=True,
)
message, error_code, error_obj = normalize_error_to_openai_format(e)
@ -146,7 +137,7 @@ async def validate_model(request: ValidateModelRequest):
"message": message,
"error_code": error_code,
"error": error_obj,
}
},
)
# Check validation results
@ -163,11 +154,10 @@ async def validate_model(request: ValidateModelRequest):
" Website Content:"
" Welcome to CAMEL AI!"
)
is_tool_calls = (tool_calls[0].result == expected)
is_tool_calls = tool_calls[0].result == expected
no_tool_msg = (
"This model doesn't support tool calls."
" please try with another model."
"This model doesn't support tool calls. please try with another model."
)
result = ValidateModelResponse(
is_valid=is_valid,
@ -183,8 +173,8 @@ async def validate_model(request: ValidateModelRequest):
"platform": platform,
"model_type": model_type,
"is_valid": is_valid,
"is_tool_calls": is_tool_calls
}
"is_tool_calls": is_tool_calls,
},
)
return result