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91 lines
2.9 KiB
YAML
91 lines
2.9 KiB
YAML
# yaml-language-server: $schema=https://promptfoo.dev/config-schema.json
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description: OpenAI MCP tool integration
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prompts:
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- 'What are the transport protocols supported in the MCP specification for {{repo}}?'
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- 'Can you search for information about {{topic}} in the {{repo}} repository and summarize the key points?'
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- 'What are the main features of {{repo}}? Please provide a detailed overview.'
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providers:
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- id: openai:responses:gpt-4.1-2025-04-14
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config:
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tools:
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- type: mcp
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server_label: deepwiki
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server_url: https://mcp.deepwiki.com/mcp
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require_approval: never
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allowed_tools: ['ask_question', 'read_wiki_structure']
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max_output_tokens: 1500
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temperature: 0.3
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instructions: 'You are a helpful research assistant. Use the available MCP tools to search for accurate information about repositories and provide comprehensive answers.'
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tests:
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- vars:
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repo: modelcontextprotocol/modelcontextprotocol
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topic: transport protocols
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assert:
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# Validate MCP tool execution was successful
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- type: is-valid-openai-tools-call
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weight: 0.3
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# Check for specific content in the response
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- type: contains
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value: 'transport'
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weight: 0.2
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- type: contains
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value: 'protocol'
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weight: 0.2
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# Ensure MCP tool was actually used (check for tool result)
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- type: contains
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value: 'MCP Tool Result'
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weight: 0.1
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# Validate the quality of the response
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- type: llm-rubric
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value: 'The response mentions transport protocols or MCP specification details'
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weight: 0.2
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- vars:
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repo: facebook/react
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topic: hooks
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assert:
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# Comprehensive MCP validation
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- type: is-valid-openai-tools-call
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- type: contains
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value: 'React'
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# Verify MCP integration worked
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- type: contains
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value: 'MCP Tool Result'
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- type: llm-rubric
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value: 'The response explains React functionality or features'
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- vars:
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repo: microsoft/typescript
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topic: type system
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assert:
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# Test both success and content validation
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- type: is-valid-openai-tools-call
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- type: contains-any
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value: ['TypeScript', 'type']
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# Ensure no MCP errors occurred
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- type: not-contains
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value: 'MCP Tool Error'
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- type: llm-rubric
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value: 'The response describes TypeScript features or type system'
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- vars:
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repo: openai/openai-python
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topic: API client
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assert:
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# Multi-layered validation approach
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- type: is-valid-openai-tools-call
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metric: mcp_tool_success
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- type: contains-any
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value: ['API', 'client', 'Python']
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# Check that MCP tools were discovered and used
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- type: contains
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value: 'MCP Tool Result'
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metric: mcp_tool_used
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weight: 0
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- type: llm-rubric
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value: 'The response describes the OpenAI Python client library or API features'
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