Run 369f62a4-3a3e-422c-85b4-268709e8406c

Raw output

{"type":"result","subtype":"success","is_error":false,"api_error_status":null,"duration_ms":94592,"duration_api_ms":92765,"ttft_ms":4248,"ttft_stream_ms":4238,"time_to_request_ms":37,"num_turns":10,"result":"{\n  \"current_state_summary\": \"Iron Rod has a complete core RAG library (ingest, chunk, embed, Qdrant vectorstore, BM25, hybrid tier-aware retrieval, reranker, citation, and a layered guardrails stack — grounding, hallucination, self-refusal, doctrinal, confidence, tier-sufficiency) plus a FastAPI service exposing /v1/answer with full tier filtering and guardrails, a 6-command Click CLI (ingest/index/search/answer/eval/stats), an eval harness with 2180-line phase5 case set, and a largely-finished corpus enrichment/metadata pipeline. Docker, GitLab CI, and Infisical secrets scaffolding are in place.\",\n  \"gap_analysis\": \"The definition of done calls for a 'thin CLI/MCP wrapper' — the CLI exists but there is NO MCP server (no mcp/fastmcp dependency or module anywhere). README.md is empty (0 lines). Test coverage is uneven: 178 tests cover guardrails/tiering/citation/confidence/chunk and the health/stats/version routes, but there are NO unit tests for the retrieval, rerank, embed, vectorstore, or answer_pipeline modules and NO integration test for the /v1/answer route — the core accuracy path is untested end-to-end. The eval harness exists but there's no evidence of a recorded passing run / accuracy threshold gate in CI.\",\n  \"completion_percent\": 80,\n  \"estimated_hours_remaining\": 20,\n  \"confidence\": \"medium\",\n  \"tasks_to_mark_complete\": [\n    \"Authority Rosters (Apostles, Bishopric, Seventy)\",\n    \"Observed-Evidence Fallback Roster\",\n    \"BYU Speeches Re-Tiering\",\n    \"Public-Domain Author Categorization\",\n    \"Devotionals Missing Venue + Date\",\n    \"Devotional Titles + Validator Null Bug\",\n    \"Calling-At-Time Backfill From Source Pages\",\n    \"Filter Non-Article Magazine Records\"\n  ],\n  \"proposed_tasks\": [\n    {\n      \"title\": \"Build thin MCP server wrapper over the RAG core\",\n      \"description\": \"Add the missing MCP half of the 'CLI/MCP wrapper' from the DoD. Expose the existing AnswerPipeline (and search/stats) as MCP tools so the RAG service is callable from MCP clients, reusing the same retriever+guardrails construction as the API route. No new retrieval logic — pure adapter layer.\",\n      \"estimated_minutes\": 420,\n      \"subtasks\": [\n        { \"title\": \"Add mcp/fastmcp dependency (license + Trivy scan) and pin version\", \"estimated_minutes\": 45 },\n        { \"title\": \"Create mcp module exposing answer/search/stats tools backed by AnswerPipeline\", \"estimated_minutes\": 150 },\n        { \"title\": \"Wire pipeline/backends construction shared with API route (avoid duplication)\", \"estimated_minutes\": 60 },\n        { \"title\": \"Add stdio entrypoint + console script and Docker/compose service or run mode\", \"estimated_minutes\": 75 },\n        { \"title\": \"Unit/integration tests for MCP tool handlers (mock backends)\", \"estimated_minutes\": 90 }\n      ]\n    },\n    {\n      \"title\": \"Close test-coverage gaps on the accuracy-critical path\",\n      \"description\": \"The retrieval and answer path is the heart of the DoD ('accurate, guardrailed, tested') but lacks tests. Add unit tests for retrieval, rerank, embed, vectorstore, and answer_pipeline, plus an integration test for POST /v1/answer with mocked embedder/store/chat. Verify guardrails fire end-to-end.\",\n      \"estimated_minutes\": 420,\n      \"subtasks\": [\n        { \"title\": \"Unit tests for Retriever hybrid search + tier/source filtering\", \"estimated_minutes\": 120 },\n        { \"title\": \"Unit tests for rerank, embed, vectorstore (mock external services)\", \"estimated_minutes\": 120 },\n        { \"title\": \"Unit tests for AnswerPipeline pre/post guardrail short-circuits\", \"estimated_minutes\": 90 },\n        { \"title\": \"Integration test for /v1/answer route with mocked pipeline backends\", \"estimated_minutes\": 90 }\n      ]\n    },\n    {\n      \"title\": \"Validate end-to-end accuracy via the eval harness and gate it\",\n      \"description\": \"Run the phase5 eval cases against the live pipeline, record a baseline accuracy/grounding score, tune thresholds (GROUNDING_THRESHOLD, tier_sufficiency) as needed, and wire a passing-threshold eval gate into the test/CI flow so accuracy regressions fail the build.\",\n      \"estimated_minutes\": 300,\n      \"subtasks\": [\n        { \"title\": \"Run eval harness against full pipeline and capture baseline metrics\", \"estimated_minutes\": 90 },\n        { \"title\": \"Tune grounding/tier-sufficiency thresholds against eval results\", \"estimated_minutes\": 120 },\n        { \"title\": \"Add eval pass/fail threshold gate to make test-eval / CI\", \"estimated_minutes\": 90 }\n      ]\n    },\n    {\n      \"title\": \"Write project README and usage documentation\",\n      \"description\": \"README.md is empty. Document setup, the corpus/index pipeline, CLI commands, the API endpoint, the new MCP wrapper, tier model, and guardrails behavior so the deliverable is usable.\",\n      \"estimated_minutes\": 120,\n      \"subtasks\": [\n        { \"title\": \"README: architecture, setup, ingest/index pipeline, env/secrets\", \"estimated_minutes\": 60 },\n        { \"title\": \"Document CLI + API + MCP usage with examples and tier filtering\", \"estimated_minutes\": 60 }\n      ]\n    }\n  ]\n}","stop_reason":"end_turn","session_id":"ddd451bc-1f60-4872-a026-c866f57c7597","total_cost_usd":0.7767599999999999,"usage":{"input_tokens":9520,"cache_creation_input_tokens":39612,"cache_read_input_tokens":434880,"output_tokens":4624,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":39612,"ephemeral_5m_input_tokens":0},"inference_geo":"not_available","iterations":[{"input_tokens":2,"output_tokens":2614,"cache_read_input_tokens":53974,"cache_creation_input_tokens":1259,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1259},"type":"message"}],"speed":"standard"},"modelUsage":{"claude-opus-4-8":{"inputTokens":9520,"outputTokens":4624,"cacheReadInputTokens":434880,"cacheCreationInputTokens":39612,"webSearchRequests":0,"costUSD":0.7767599999999999,"contextWindow":1000000,"maxOutputTokens":64000}},"permission_denials":[{"tool_name":"Bash","tool_use_id":"toolu_01TWwtJkP1PR2kvPky5aZw6h","tool_input":{"command":"ls -la && echo \"---README---\" && (cat README.md 2>/dev/null | head -100) && echo \"---tree---\" && git ls-files | head -200","description":"Inspect repo structure"}}],"terminal_reason":"completed","fast_mode_state":"off","uuid":"6963abdf-92de-4f1a-a690-5f58e3467c23"}

Parsed result

{
  "confidence": "medium",
  "gap_analysis": "The definition of done calls for a 'thin CLI/MCP wrapper' — the CLI exists but there is NO MCP server (no mcp/fastmcp dependency or module anywhere). README.md is empty (0 lines). Test coverage is uneven: 178 tests cover guardrails/tiering/citation/confidence/chunk and the health/stats/version routes, but there are NO unit tests for the retrieval, rerank, embed, vectorstore, or answer_pipeline modules and NO integration test for the /v1/answer route — the core accuracy path is untested end-to-end. The eval harness exists but there's no evidence of a recorded passing run / accuracy threshold gate in CI.",
  "proposed_tasks": [
    {
      "title": "Build thin MCP server wrapper over the RAG core",
      "subtasks": [
        {
          "title": "Add mcp/fastmcp dependency (license + Trivy scan) and pin version",
          "estimated_minutes": 45
        },
        {
          "title": "Create mcp module exposing answer/search/stats tools backed by AnswerPipeline",
          "estimated_minutes": 150
        },
        {
          "title": "Wire pipeline/backends construction shared with API route (avoid duplication)",
          "estimated_minutes": 60
        },
        {
          "title": "Add stdio entrypoint + console script and Docker/compose service or run mode",
          "estimated_minutes": 75
        },
        {
          "title": "Unit/integration tests for MCP tool handlers (mock backends)",
          "estimated_minutes": 90
        }
      ],
      "description": "Add the missing MCP half of the 'CLI/MCP wrapper' from the DoD. Expose the existing AnswerPipeline (and search/stats) as MCP tools so the RAG service is callable from MCP clients, reusing the same retriever+guardrails construction as the API route. No new retrieval logic — pure adapter layer.",
      "estimated_minutes": 420
    },
    {
      "title": "Close test-coverage gaps on the accuracy-critical path",
      "subtasks": [
        {
          "title": "Unit tests for Retriever hybrid search + tier/source filtering",
          "estimated_minutes": 120
        },
        {
          "title": "Unit tests for rerank, embed, vectorstore (mock external services)",
          "estimated_minutes": 120
        },
        {
          "title": "Unit tests for AnswerPipeline pre/post guardrail short-circuits",
          "estimated_minutes": 90
        },
        {
          "title": "Integration test for /v1/answer route with mocked pipeline backends",
          "estimated_minutes": 90
        }
      ],
      "description": "The retrieval and answer path is the heart of the DoD ('accurate, guardrailed, tested') but lacks tests. Add unit tests for retrieval, rerank, embed, vectorstore, and answer_pipeline, plus an integration test for POST /v1/answer with mocked embedder/store/chat. Verify guardrails fire end-to-end.",
      "estimated_minutes": 420
    },
    {
      "title": "Validate end-to-end accuracy via the eval harness and gate it",
      "subtasks": [
        {
          "title": "Run eval harness against full pipeline and capture baseline metrics",
          "estimated_minutes": 90
        },
        {
          "title": "Tune grounding/tier-sufficiency thresholds against eval results",
          "estimated_minutes": 120
        },
        {
          "title": "Add eval pass/fail threshold gate to make test-eval / CI",
          "estimated_minutes": 90
        }
      ],
      "description": "Run the phase5 eval cases against the live pipeline, record a baseline accuracy/grounding score, tune thresholds (GROUNDING_THRESHOLD, tier_sufficiency) as needed, and wire a passing-threshold eval gate into the test/CI flow so accuracy regressions fail the build.",
      "estimated_minutes": 300
    },
    {
      "title": "Write project README and usage documentation",
      "subtasks": [
        {
          "title": "README: architecture, setup, ingest/index pipeline, env/secrets",
          "estimated_minutes": 60
        },
        {
          "title": "Document CLI + API + MCP usage with examples and tier filtering",
          "estimated_minutes": 60
        }
      ],
      "description": "README.md is empty. Document setup, the corpus/index pipeline, CLI commands, the API endpoint, the new MCP wrapper, tier model, and guardrails behavior so the deliverable is usable.",
      "estimated_minutes": 120
    }
  ],
  "completion_percent": 80,
  "current_state_summary": "Iron Rod has a complete core RAG library (ingest, chunk, embed, Qdrant vectorstore, BM25, hybrid tier-aware retrieval, reranker, citation, and a layered guardrails stack — grounding, hallucination, self-refusal, doctrinal, confidence, tier-sufficiency) plus a FastAPI service exposing /v1/answer with full tier filtering and guardrails, a 6-command Click CLI (ingest/index/search/answer/eval/stats), an eval harness with 2180-line phase5 case set, and a largely-finished corpus enrichment/metadata pipeline. Docker, GitLab CI, and Infisical secrets scaffolding are in place.",
  "tasks_to_mark_complete": [
    "Authority Rosters (Apostles, Bishopric, Seventy)",
    "Observed-Evidence Fallback Roster",
    "BYU Speeches Re-Tiering",
    "Public-Domain Author Categorization",
    "Devotionals Missing Venue + Date",
    "Devotional Titles + Validator Null Bug",
    "Calling-At-Time Backfill From Source Pages",
    "Filter Non-Article Magazine Records"
  ],
  "estimated_hours_remaining": 20
}