prompts/gemini.md

Gemini (Google)

• Runner: scripts/run_gemini.py
• Result set: results/gemini/<doc_id>.json
• Default model: gemini-3.5-flash (override with GEMINI_MODEL)
• API: Generative Language API (/v1beta/models/<model>:generateContent)
• Schema mode: gemini_response_schema_nullable_v1

Prompt

Identical to the canonical extraction_prompt.txt:

Extract the document into the supplied JSON schema. Use only information present in the
document. Return null for fields that are not printed or cannot be determined. Preserve
table rows as arrays and preserve the document language for values. Document id: {doc_id}.

PDFs and images are sent as inline_data, multipage TIFF as a sequence of inline PNG pages, and DOCX/XLSX/text formats as extracted plain text.

Output constraint

generationConfig.responseMimeType is set to application/json and generationConfig.responseSchema carries the schema rendered into Gemini's typed schema form (OBJECT/ARRAY/STRING/NUMBER/INTEGER/BOOLEAN, nullable flags, propertyOrdering). The same normalized strict schema used by the GPT runner is the input to this conversion.

Run knobs (environment)

• GOOGLE_API_KEY or GEMINI_API_KEY (required)
• GEMINI_MODEL, GEMINI_API_BASE, GEMINI_MAX_OUTPUT_TOKENS
• GEMINI_INPUT_USD_PER_1M, GEMINI_OUTPUT_USD_PER_1M (optional cost estimate)

Failure handling

Missing candidates, non-STOP finish reasons, empty output, invalid JSON, and schema-validation failures are written as status: "failed" with data: {}.