dev_agentandClaude Opus 5.5
b0cf6fb951
harness.Run now writes one ai_runs row per run that reaches the provider, covering the repair turn: skill, version, provider, model, temperature, status (ok, repaired, bad_output, provider_error), latency, summed token counts when reported, error text and the per-turn request and response bodies. Every stored string is redacted first: the decrypted API key, Authorization and API-key header values, Google Chat webhook URLs and URLs with key-like query or fragment parameters or user info. JSON is decoded and its strings redacted, so escapes cannot hide a credential. A row that cannot be written fails the run. Purge deletes rows created before a cutoff (RunRetention is 30 days), clearing suggestion_batches and week_plans references in the same transaction. Migration 0006 rebuilds ai_runs with the new status CHECK and a created_at index; a pre-harness running or error row stops it. Maestro task 53e382d8-1db3-4555-a31d-e44cf55cc98d. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
48 lines
2.2 KiB
SQL
48 lines
2.2 KiB
SQL
-- 0006_ai_runs_status: ai_runs.status becomes the harness run outcome:
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-- ok the first reply was usable
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-- repaired the first reply was not, the repair turn's was
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-- bad_output neither reply was usable, or post-processing failed
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-- provider_error the provider failed on either turn
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-- A run's row is written once, when it ends, so there is no running state.
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-- Nothing wrote ai_runs before the harness did, so no row holds the old
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-- running or error values; if one does, the copy back fails the CHECK and
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-- the migration stops rather than guess its outcome. created_at gains an
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-- index for the 30-day purge. The rebuild is 0005's: copy the rows aside,
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-- drop the table, create it again, copy the rows back and drop the copy.
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--
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-- suggestion_batches.ai_run_id and week_plans.ai_run_id reference ai_runs,
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-- so foreign keys are deferred until commit, after the ai_runs rows are
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-- back. The pragma lasts only for this migration's transaction.
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PRAGMA defer_foreign_keys = ON;
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CREATE TABLE ai_runs_copy AS SELECT * FROM ai_runs;
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DROP TABLE ai_runs;
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CREATE TABLE ai_runs (
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id TEXT NOT NULL PRIMARY KEY,
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skill TEXT NOT NULL,
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skill_version TEXT NOT NULL,
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provider TEXT NOT NULL CHECK (provider IN ('openai_compatible', 'anthropic', 'ollama', 'openai', 'openrouter', 'xai')),
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model TEXT NOT NULL,
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temperature REAL NOT NULL,
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status TEXT NOT NULL CHECK (status IN ('ok', 'repaired', 'bad_output', 'provider_error')),
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latency_ms INTEGER,
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tokens_in INTEGER,
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tokens_out INTEGER,
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error TEXT,
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request_redacted TEXT NOT NULL,
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response_redacted TEXT,
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created_at TEXT NOT NULL,
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updated_at TEXT NOT NULL
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);
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INSERT INTO ai_runs (id, skill, skill_version, provider, model, temperature, status, latency_ms, tokens_in, tokens_out, error, request_redacted, response_redacted, created_at, updated_at)
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SELECT id, skill, skill_version, provider, model, temperature, status, latency_ms, tokens_in, tokens_out, error, request_redacted, response_redacted, created_at, updated_at
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FROM ai_runs_copy;
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DROP TABLE ai_runs_copy;
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CREATE INDEX ai_runs_created_at ON ai_runs (created_at);
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