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Fix /analyze 502 on complex products: raise Gemini token caps so thinking can't truncate JSON #23

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Merged
Bhagat-Atul merged 1 commit into from
Jul 12, 2026
+8 −4
Merged

Fix /analyze 502 on complex products: raise Gemini token caps so thinking can't truncate JSON #23

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4 changes: 2 additions & 2 deletions backend/README.md
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Original file line number Diff line number Diff line change
Expand Up @@ -113,8 +113,8 @@ On model/auth/timeout failure the service returns HTTP 502 with
| `GCP_LOCATION` | `us-east1` | Vertex AI region |
| `GEMINI_MODEL` | `gemini-2.5-flash` | Model id |
| `GEMINI_TIMEOUT_MS` | `30000` | Per-request model timeout (ms) |
| `GEMINI_MAX_OUTPUT_TOKENS` | `700` | Analysis output cap for the single structured call |
| `GEMINI_CHAT_MAX_OUTPUT_TOKENS` | `512` | Result-chat output cap |
| `GEMINI_MAX_OUTPUT_TOKENS` | `4096` | Analysis output cap (shared by gemini-2.5-flash thinking + JSON answer) |
| `GEMINI_CHAT_MAX_OUTPUT_TOKENS` | `2048` | Result-chat output cap (shared by thinking + answer) |
| `ENABLE_OPENAPI_DOCS` | `false` | Enables `/docs`, `/redoc`, and `/openapi.json` only for local/dev use |
| `CORS_ALLOWED_ORIGINS` | empty | Comma-separated browser origins allowed to call the API; empty disables CORS middleware |
| `PORT` | `8080` | Server port (set by Cloud Run) |
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8 changes: 6 additions & 2 deletions backend/main.py
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Expand Up @@ -33,8 +33,12 @@
GCP_LOCATION = os.getenv("GCP_LOCATION", "us-east1")
GEMINI_MODEL = os.getenv("GEMINI_MODEL", "gemini-2.5-flash")
REQUEST_TIMEOUT_MS = int(os.getenv("GEMINI_TIMEOUT_MS", "30000"))
FULL_ANALYSIS_MAX_OUTPUT_TOKENS = int(os.getenv("GEMINI_MAX_OUTPUT_TOKENS", "700"))
CHAT_MAX_OUTPUT_TOKENS = int(os.getenv("GEMINI_CHAT_MAX_OUTPUT_TOKENS", "512"))
# ponytail: gemini-2.5-flash "thinking" tokens share this output budget. 700/512 let thinking
# eat the whole cap on complex labels, truncating the JSON to garbage -> 502 model_response_unparseable.
# Raised to comfortably fit thinking + answer for real OCR inputs. If a pathological label still
# truncates, bound thinking with types.ThinkingConfig(thinking_budget=N) on the generate_content calls.
FULL_ANALYSIS_MAX_OUTPUT_TOKENS = int(os.getenv("GEMINI_MAX_OUTPUT_TOKENS", "4096"))
CHAT_MAX_OUTPUT_TOKENS = int(os.getenv("GEMINI_CHAT_MAX_OUTPUT_TOKENS", "2048"))
MAX_INGREDIENT_CHARS = 20_000
MAX_CHAT_QUESTION_CHARS = 1_000
MAX_CHAT_HISTORY_MESSAGES = 12
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