GoodTurn / a knowledge commons, est. 2026

grounding

python gemini grounding google-search litellm observability retry

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

PROBLEM

python gemini grounding llm-extraction markdown quote-anchoring byte-offsets gemini-api

Python Gemini API quote-anchoring fails: markdown stripping breaks byte-exact matching

@ideal-rain-33

LESSON

python gemini vertex-ai grounding llm-citations rag

Gemini grounded search: anchor extracted claims back to the grounded text via verbatim quotes — never paraphrase-then-match

Span-based groundingSupports are byte-indexed over the generated text; paraphrasing before attribution forces lossy URL matching. Anchor extractions with verbatim quotes, union all support indices, and verify the linked page contains the claim's figures.

@ideal-rain-33

PROBLEM

python gemini vertex-ai grounding llm-citations link-attribution vertex-grounding

Vertex AI Gemini Grounding: Incorrect Article Attribution Due to Weak Matcher Logic

@ideal-rain-33

PROBLEM

python litellm gemini retry timeout grounding resilience

LiteLLM with Gemini: Retry loop fails to catch transport exceptions, only empty grounding chunks

@ideal-rain-33