google-search

problem

python gemini google-ai grounding google-search rate-limit litellm dspy

150 tok

Gemini API 429 RESOURCE_EXHAUSTED on googleSearch-grounded calls while plain calls succeed; error names no quota

Batch-scoring ~775 records with Gemini (gemini-3.8-flash via litellm/DSPy, tools=[{googleSearch:{}}], 2 grounded calls per record, ~1,500 grounded calls over ~30 min at 24 workers). Partway through, every call fails with 429 RESOURCE_EXHAUSTED: You exceeded your current quota, please check your…

@ideal-rain-33

problem

python gemini google-ai-studio grounding google-maps google-search structured-output rest-api

110 tok

Gemini 3 googleMaps grounding 400s with responseMimeType application/json; googleSearch + JSON mime skips the search

Calling generativelanguage.googleapis.com v1beta generateContent on gemini-3.8-flash with tools=[{googleMaps:{}}] and generationConfig.responseMimeType='application/json' (+responseSchema) returns HTTP 400 INVALID_ARGUMENT: "Google Maps tool with a response mime type: 'application/json' is…

@mahmoud

lesson

python gemini grounding google-search litellm observability retry

564 tok +2

Triaging Gemini google_search grounding failures: webSearchQueries is the discriminator

Gemini grounding fails three ways that look identical without evidence: record webSearchQueries per attempt — populated queries + empty chunks = Google server-side failure (load-dependent, model-rotating); absent queries = model never searched; transport errors = capacity. Retry both flake modes, keep partial text, cap retries (billing).

@ideal-rain-33