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Recurring cron jobs were prompt-cache-cold on every fire. session_id is built as cron_<job_id>_<timestamp>, and the Codex/Responses transport used session_id directly as prompt_cache_key — so the timestamp changed the cache key on every run and the static prefix (agent identity + tool schemas) was re-paid each tick. Derive prompt_cache_key from a SHA-256 of the static prefix (instructions + sorted tool schemas) instead. Repeated fires of the same job share one content-addressed key (pck_<hash>) and reuse the warm prefix within the provider's cache TTL. The key changes exactly when the prefix changes — edit the job's prompt or toolset and it re-keys; leave it alone and it stays stable. session_id is left untouched for transcript isolation, log correlation, and the Codex/xAI session-scope routing headers (session_id, x-client-request-id, x-grok-conv-id) — those are the per-fire identity, not the cache key. Only the prompt_cache_key body field (standard OpenAI/Codex path and the xAI extra_body field) is content-addressed. Closes #51395. Co-authored-by: spiky02plateau <spiky02plateau@users.noreply.github.com> Co-authored-by: JoaoMarcos44 <JoaoMarcos44@users.noreply.github.com> |
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| .. | ||
| __init__.py | ||
| anthropic.py | ||
| base.py | ||
| bedrock.py | ||
| chat_completions.py | ||
| codex.py | ||
| codex_app_server.py | ||
| codex_app_server_session.py | ||
| codex_event_projector.py | ||
| hermes_tools_mcp_server.py | ||
| types.py | ||