Epictetus
5f917f4121
Publisher fixes: - Checkout new branch before push (was pushing main ref) - Verify files staged before commit - Handle duplicate files gracefully - Clean error reporting per stage Skills merged to main: - mcp-server-setup (from pipeshub-ai) - research-pipeline (from Blacknode) - multi-agent-sequential-workflow (from Fast-LLM-Agent-MCP) - unifai-workflow-execution (from UnifAI) - code-review-agent-workflow (from AgentKit)
30 lines
1.3 KiB
JSON
30 lines
1.3 KiB
JSON
{
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"name": "unifai-workflow-execution",
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"version": "1.0.0",
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"goal": "Execute a multi-agent workflow on the UnifAI platform using a specified blueprint and user prompt.",
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"inputs": [
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"blueprint_id or blueprint_name",
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"user_shortcut",
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"user_question"
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],
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"steps": [
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"Step 1: Resolve the blueprint ID from either direct ID or name lookup (resolve_blueprint_id method)",
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"Step 2: Create a new session from the blueprint (create_session method)",
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"Step 3: Submit the session for background execution with the user prompt (submit_session method)",
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"Step 4: Poll session status until execution completes (poll_session_status method)"
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],
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"outputs": [
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"session_id",
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"workflow_id"
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],
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"failure_modes": [
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"Blueprint name not found or not unique - error during blueprint resolution",
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"Session creation fails - error from API response",
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"Session submission fails - error from API response",
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"Polling session status fails - error from API response"
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],
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"confidence": 0.95,
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"explanation": "This workflow is specific to the UnifAI platform and its multi-agent system, but can be adapted for similar systems with a similar architecture.",
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"source_repo": "https://github.com/redhat-community-ai-tools/UnifAI.git",
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"score": 1.0
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} |