The tracker-mapping and common-pattern-enrichment workers ran with the kit/worker defaults (interval 10s, max-concurrency 5 each) and dropped the resolved per-agent max-tokens/temperature, so up to ten LLM pipelines could run unbounded on one OpenAI client. The mapping worker also held a FOR UPDATE transaction across the LLM and Firecrawl calls while its DB search tools acquired a second pooled connection, risking pool exhaustion under concurrency. Plumb max-tokens, temperature, agent timeout, and per-worker max-turns through TrackerAgentsConfig and DisambiguationConfig into all three agent builders, replacing the hard-coded constants with config-fed fields and package fallbacks. Expose worker interval, concurrency, stale-after, agent timeout, and max-turns as config (env, Helm values, deployment template) mirroring the evidence-describer pattern, and apply them at registration. Refactor Process into deterministic-read, agent (no transaction), and persist phases so neither the mapping agent nor disambiguation runs inside an open transaction, removing the row locks held across network latency and the nested-connection pressure. Signed-off-by: Émile Ré <emile@probo.com>
22 KiB
22 KiB