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>
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