conductor-oss--conductor
wehub-resource-sync
a9cd7750f4
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63 行
1.7 KiB
JSON
63 行
1.7 KiB
JSON
{
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"name": "mcp_ai_agent_workflow",
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"version": 1,
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"schemaVersion": 2,
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"tasks": [
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{
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"name": "list_available_tools",
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"taskReferenceName": "discover_tools",
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"type": "LIST_MCP_TOOLS",
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"inputParameters": {
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"mcpServer": "http://localhost:3001/mcp"
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}
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},
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{
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"name": "decide_which_tools_to_use",
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"taskReferenceName": "plan",
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"type": "LLM_CHAT_COMPLETE",
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"inputParameters": {
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"llmProvider": "anthropic",
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"model": "claude-3-5-sonnet-20241022",
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"messages": [
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{
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"role": "system",
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"message": "You are an AI agent. Available tools: ${discover_tools.output.tools}. User wants to: ${workflow.input.task}"
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},
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{
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"role": "user",
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"message": "Which tool should I use and what parameters? Respond with JSON: {method: string, arguments: object}"
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}
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],
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"temperature": 0.1,
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"maxTokens": 500
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}
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},
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{
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"name": "execute_tool",
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"taskReferenceName": "execute",
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"type": "CALL_MCP_TOOL",
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"inputParameters": {
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"mcpServer": "http://localhost:3001/mcp",
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"method": "${plan.output.result.method}",
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"arguments": "${plan.output.result.arguments}"
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}
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},
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{
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"name": "summarize_result",
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"taskReferenceName": "summarize",
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"type": "LLM_CHAT_COMPLETE",
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"inputParameters": {
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"llmProvider": "openai",
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"model": "gpt-4o-mini",
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"messages": [
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{
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"role": "user",
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"message": "Summarize this result for the user: ${execute.output.content}"
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}
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],
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"maxTokens": 200
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}
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}
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]
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}
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