Unauthorized" [fast_agent.mcp.mcp_connection_manager] amap-maps: Lifecycle task encountered an e An error occurred

[jinwater88]

amap-maps:  
      transport: http  
      url: https://mcp.api-inference.modelscope.net/api-key/mcp  
      auth:  
        oauth: false  

What's going on?
─| maps_regeoc… | maps_geo | maps_ip_loc… | maps_weather | maps_search… … |───────

▎ Running        ▎ Multi-Tool Agent                      
▎◀ 28            ▎ multi_agent      deepseek-chat turn 12[fast_agent.llm.provider.openai.llm_openai.multi_agent] Streaming complete - Model: deepseek-chat, Input tokens: 9832, Output tokens: 28

. ▎ Running ▎ Multi-Tool Agent
. ▎◀ Calling Tool ▎ multi_agent amap-maps (maps_weather)2025-11-28 22:01:35,197 - httpx - INFO - HTTP Request: POST https://mcp.api-inference.modelscope.net/api-key/mcp "HTTP/1.1 401 Unauthorized"
[fast_agent.mcp.mcp_connection_manager] amap-maps: Lifecycle task encountered an e
▎ Error ▎ unknown / An error occurred

[evalstate]

I don't know the modelscope API, but that url makes me think it's expecting an API Key in the headers? Are you sending one? Quickest way to send an API key to check the connection would be

fast-agent --url https://mcp.api-inference.modelscope.net/api-key/mcp --auth YOUR_API_KEY

[jinwater88]

The above configuration allowed me to call the tool, but it would suddenly stop working for a while. I don't know why. I finally changed it to npx的stdio, worked fine.

[jinwater88]

@evalstate
I hit an internal error while calling the model: deepseek request failed for model 'deepseek-chat':
Request timed out. See fast-agent-error for additional details.
Error details: deepseek request failed for model 'deepseek-chat': Request timed out.

and I hit an internal error while calling the model: deepseek request failed for model 'deepseek-chat' (code: invalid_request_error) (status=400): Error code: 400 - {'error': {'message': "An assistant message with 'tool_calls' must be followed by tool messages responding to each 'tool_call_id'.

What could be causing this error? It keeps popping up. Is it a problem with DeepSeek? Do I need to change the model?