Providers — Data Flow

Gemini Text

PromptResult | str
    -> GeminiProvider.generate_text()
    -> google.genai.models.generate_content()
    -> response.text
    -> str

GeminiProvider.answer() delegates to generate_text() for compatibility with LLMDispatcher.process().

Gemini JSON

PromptResult | str
    -> GeminiProvider.generate_json(schema=...)
    -> GenerateContentConfig(response_mime_type="application/json", response_schema=schema)
    -> response.text
    -> json.loads()
    -> optional Pydantic validation

Gemini Images

prompt: str
    -> GeminiProvider.generate_image_bytes()
    -> GenerateContentConfig(response_modalities=[IMAGE], image_config=...)
    -> first inline_data image part
    -> (bytes, actual_mime_type)

response_mime_type is not passed to GenerateContentConfig.response_mime_type on this path; it is only a fallback content type when Gemini omits inline_data.mime_type. When image_config.image_size is 4K and Gemini rejects the request, the provider retries once with image_size changed to 2K.

Imagen Images

prompt: str
    -> GeminiProvider.generate_imagen_bytes()
    -> GenerateImagesConfig(output_mime_type=requested_mime)
    -> first generated_images image
    -> (bytes, actual_mime_type)

OpenAI Text

PromptResult | str
    -> OpenAIProvider.generate_text()
    -> chat.completions.create()
    -> choices[0].message.content
    -> str