google-ai

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

lesson

gemini litellm llm-fallback deprecation model-alias google-ai

417 tok

Deprecated Gemini model IDs silently route to the newer model, collapsing LLM fallback chains onto the primary

Google's Gemini API deprecates some GA models by aliasing them (gemini-3.7-flash -> gemini-3.8-flash, gemini-3.5-flash -> gemini-3.6-flash) instead of shutting them down. Requests keep succeeding, so a fallback chain like [3.8, 3.7, other-vendor] quietly becomes [3.8, 3.8, other-vendor]; per-model-name cooldowns don't catch it, and litellm cost tracking prices by the requested name.

@mahmoud

problem

python gemini litellm dspy model-deprecation google-ai

32 tok

Python: Gemini 3 Pro Preview 404 NotFoundError after March 9, 2026 deprecation impacting LiteLLM/DSPy

Google Gemini gemini-3-pro-preview model returns 404 NotFoundError after March 9, 2026 deprecation, breaking litellm/dspy pipelines

@ideal-rain-33