feat(black_forest_labs): add image generation support #18144
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…st Labs Add native integration for Black Forest Labs image editing models (flux-kontext-pro, flux-kontext-max, flux-pro-1.0-fill, flux-pro-1.0-expand). Changes: - Add BlackForestLabsImageEditConfig for BFL API transformation - Add BLACK_FOREST_LABS to LlmProviders enum - Add use_multipart_form_data() to BaseImageEditConfig for JSON vs form-data - Modify image_edit_handler to support JSON request bodies - Add comprehensive unit tests Closes BerriAI#11401
Add BFL models to model_prices_and_context_window.json with pricing: - flux-kontext-pro: $0.04/image - flux-kontext-max: $0.08/image - flux-pro-1.0-fill: $0.05/image - flux-pro-1.0-expand: $0.05/image Add black_forest_labs_models set to __init__.py for model discovery.
Resolve comment conflict in llm_http_handler.py by combining BFL and Gemini style comments for JSON request handling.
Replace direct httpx.get() calls with _get_httpx_client() to reuse cached HTTP client, following the pattern used by other providers (RunwayML, Azure AI OCR, Sagemaker, etc.).
Add native text-to-image generation for Black Forest Labs Flux models (flux-pro-1.1, flux-pro-1.1-ultra, flux-dev, flux-pro). - Polling-based async API with sync and async support - OpenAI-compatible parameter mapping (size, n, quality) - Reuses shared HTTP clients via _get_httpx_client() - 39 unit tests added
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Relevant issues
Follow-up to #18006 - adds text-to-image generation support for Black Forest Labs
Pre-Submission checklist
tests/litellm/directory, Adding at least 1 test is a hard requirement - see detailsmake test-unitType
🆕 New Feature
Changes
Add native text-to-image generation support for Black Forest Labs Flux models.
Supported Models
flux-pro-1.1- Fast & reliable standard generation ($0.04/image)flux-pro-1.1-ultra- Ultra high-resolution up to 4MP ($0.06/image)flux-dev- Development/open-source variant ($0.025/image)flux-pro- Original pro model ($0.05/image)Features
_poll_for_result()and_poll_for_result_async()methodssize→width/height,n→num_images,quality=hd→raw=True_get_httpx_client()andget_async_httpx_client()for connection poolingUsage
Files Changed
litellm/llms/black_forest_labs/image_generation/- New module with transformation configlitellm/llms/black_forest_labs/__init__.py- Export new configlitellm/utils.py- Register provider inget_provider_image_generation_config()litellm/images/main.py- Add to HTTP handler provider listmodel_prices_and_context_window.json- Add model pricingDocumentation Added
docs/my-website/docs/providers/black_forest_labs.md- Full provider documentation with SDK and Proxy examplesdocs/my-website/docs/image_generation.md- Added Black Forest Labs to supported providers listTests Added