fix(inference): raise scene_prompt max_length 4096 → 32768#67
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The 4096-char cap rejected ~6 req/min in production with a Pydantic 422 (string_too_long). Cortex's crop-describe caller sends prompts in the 4.4-5.2 KB range when the KNOWN REGULARS list for a busy camera includes 50+ entities — the cap had no security or storage motivation, just an under-estimate of real prompt sizes. Bumping to 32 KB gives ~6× headroom over current usage and is still trivially small next to the image_b64 field (max 14 MB). Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
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Summary
CropDescribeRequest.scene_promptwas capped at 4096 chars, but production cortex sends prompts in the 4.4-5.2 KB range when the KNOWN REGULARS list for a busy camera includes 50+ entities./api/inference/crop-describe(string_too_long at body.scene_prompt), each dropping a frame.image_b64already allows 14 MB.Test plan
scene_prompt=5000chars previously returned422 string_too_long; will accept under new limit./api/inference/crop-describedrops to ~0 in cortex prod logs (/tmp/cortex.logcortex.vlm rejected).🤖 Generated with Claude Code