Cesar Garcia
df19a747a2
feat(custom_llm): add image_edit and aimage_edit support ( #17999 )
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* feat(custom_llm): add image_edit and aimage_edit support
Add support for image_edit and aimage_edit methods in CustomLLM class,
allowing users to implement custom image editing providers.
Changes:
- Add image_edit() and aimage_edit() methods to CustomLLM base class
- Add custom provider detection in litellm.image_edit() function
- Add tests for sync and async image_edit with custom handlers
* docs: add image_edit to CustomLLM documentation
- Add /v1/images/edits to supported routes
- Add Image Edit section with example
- Update Custom Handler Spec with image_edit methods
2025-12-15 14:16:36 -08:00
Ishaan Jaffer
22eb2f8033
Revert "Python entry-point for CustomLLM subclasses ( #15881 )"
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This reverts commit 559ae96e38 .
2025-10-31 18:24:39 -07:00
Ishaan Jaff
99feefd614
[Feat] Add FAL AI Image Generations on LiteLLM ( #16067 )
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* add fal-ai provider
* fix image_generation_handler
* init FalAIImageGenerationConfig
* init cost_calculator
* init FAL AI
* TestFAL_AI_ImageGeneration
* fix load_custom_provider_entrypoints
* TestFAL_AI_ImageGeneration
* add imagen4 transform FAL AI
* add FAL AI imagen 4 transform
* BaseImageGenTest
* test_fal_ai_image_generation_basic
* add BRIA + Recraft img gen
* add recraft + BRIA
* test_fal_ai_image_generation_basic
* tests for flux PRO v11
* Add FAL AI SD
* test FAL AI SD
* docs FAL AI
* docs fal ai
* Using Model-Specific Parameters
* add fal ai model prices
* add fall_ai JPG logo
* ui fixes FAL AI
* fix linting
* fix linting
* fix bedrock test_get_request_body_stability3
* test_custom_llm_provider_entrypoint
2025-10-29 13:10:51 -07:00
Albert DeFusco
559ae96e38
Python entry-point for CustomLLM subclasses ( #15881 )
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* load entrypoints
* mock loading entry-point in pyproject.toml
* simpler group name
* create CustomLLM subclass instance after load
2025-10-28 19:39:14 -07:00
Krrish Dholakia
e46ef9d642
test: update test with new kwargs
2025-06-11 22:19:17 -07:00
Tornike Gurgenidze
db4183715a
feat: add embeddings to CustomLLM ( #10980 )
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* feat: add embeddings to CustomLLM
* feat: add aembedding to custom llm
2025-05-22 22:55:46 -07:00
Krish Dholakia
a3e65c9bcb
LiteLLM Minor Fixes & Improvements (01/10/2025) - p1 ( #7670 )
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* test(test_get_model_info.py): add unit test confirming router deployment updates global 'get_model_info'
* fix(get_supported_openai_params.py): fix custom llm provider 'get_supported_openai_params'
Fixes https://github.com/BerriAI/litellm/issues/7668
* docs(azure.md): clarify how azure ad token refresh on proxy works
Closes https://github.com/BerriAI/litellm/issues/7665
2025-01-10 17:49:05 -08:00
Krish Dholakia
2acb0c0675
Litellm Minor Fixes & Improvements (10/12/2024) ( #6179 )
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* build(model_prices_and_context_window.json): add bedrock llama3.2 pricing
* build(model_prices_and_context_window.json): add bedrock cross region inference pricing
* Revert "(perf) move s3 logging to Batch logging + async [94% faster perf under 100 RPS on 1 litellm instance] (#6165 )"
This reverts commit 2a5624af47 .
* add azure/gpt-4o-2024-05-13 (#6174 )
* LiteLLM Minor Fixes & Improvements (10/10/2024) (#6158 )
* refactor(vertex_ai_partner_models/anthropic): refactor anthropic to use partner model logic
* fix(vertex_ai/): support passing custom api base to partner models
Fixes https://github.com/BerriAI/litellm/issues/4317
* fix(proxy_server.py): Fix prometheus premium user check logic
* docs(prometheus.md): update quick start docs
* fix(custom_llm.py): support passing dynamic api key + api base
* fix(realtime_api/main.py): Add request/response logging for realtime api endpoints
Closes https://github.com/BerriAI/litellm/issues/6081
* feat(openai/realtime): add openai realtime api logging
Closes https://github.com/BerriAI/litellm/issues/6081
* fix(realtime_streaming.py): fix linting errors
* fix(realtime_streaming.py): fix linting errors
* fix: fix linting errors
* fix pattern match router
* Add literalai in the sidebar observability category (#6163 )
* fix: add literalai in the sidebar
* fix: typo
* update (#6160 )
* Feat: Add Langtrace integration (#5341 )
* Feat: Add Langtrace integration
* add langtrace service name
* fix timestamps for traces
* add tests
* Discard Callback + use existing otel logger
* cleanup
* remove print statments
* remove callback
* add docs
* docs
* add logging docs
* format logging
* remove emoji and add litellm proxy example
* format logging
* format `logging.md`
* add langtrace docs to logging.md
* sync conflict
* docs fix
* (perf) move s3 logging to Batch logging + async [94% faster perf under 100 RPS on 1 litellm instance] (#6165 )
* fix move s3 to use customLogger
* add basic s3 logging test
* add s3 to custom logger compatible
* use batch logger for s3
* s3 set flush interval and batch size
* fix s3 logging
* add notes on s3 logging
* fix s3 logging
* add basic s3 logging test
* fix s3 type errors
* add test for sync logging on s3
* fix: fix to debug log
---------
Co-authored-by: Ishaan Jaff <ishaanjaffer0324@gmail.com >
Co-authored-by: Willy Douhard <willy.douhard@gmail.com >
Co-authored-by: yujonglee <yujonglee.dev@gmail.com >
Co-authored-by: Ali Waleed <ali@scale3labs.com >
* docs(custom_llm_server.md): update doc on passing custom params
* fix(pass_through_endpoints.py): don't require headers
Fixes https://github.com/BerriAI/litellm/issues/6128
* feat(utils.py): add support for caching rerank endpoints
Closes https://github.com/BerriAI/litellm/issues/6144
* feat(litellm_logging.py'): add response headers for failed requests
Closes https://github.com/BerriAI/litellm/issues/6159
---------
Co-authored-by: Ishaan Jaff <ishaanjaffer0324@gmail.com >
Co-authored-by: Willy Douhard <willy.douhard@gmail.com >
Co-authored-by: yujonglee <yujonglee.dev@gmail.com >
Co-authored-by: Ali Waleed <ali@scale3labs.com >
2024-10-12 11:48:34 -07:00
Krish Dholakia
11f9df923a
LiteLLM Minor Fixes & Improvements (10/10/2024) ( #6158 )
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* refactor(vertex_ai_partner_models/anthropic): refactor anthropic to use partner model logic
* fix(vertex_ai/): support passing custom api base to partner models
Fixes https://github.com/BerriAI/litellm/issues/4317
* fix(proxy_server.py): Fix prometheus premium user check logic
* docs(prometheus.md): update quick start docs
* fix(custom_llm.py): support passing dynamic api key + api base
* fix(realtime_api/main.py): Add request/response logging for realtime api endpoints
Closes https://github.com/BerriAI/litellm/issues/6081
* feat(openai/realtime): add openai realtime api logging
Closes https://github.com/BerriAI/litellm/issues/6081
* fix(realtime_streaming.py): fix linting errors
* fix(realtime_streaming.py): fix linting errors
* fix: fix linting errors
* fix pattern match router
* Add literalai in the sidebar observability category (#6163 )
* fix: add literalai in the sidebar
* fix: typo
* update (#6160 )
* Feat: Add Langtrace integration (#5341 )
* Feat: Add Langtrace integration
* add langtrace service name
* fix timestamps for traces
* add tests
* Discard Callback + use existing otel logger
* cleanup
* remove print statments
* remove callback
* add docs
* docs
* add logging docs
* format logging
* remove emoji and add litellm proxy example
* format logging
* format `logging.md`
* add langtrace docs to logging.md
* sync conflict
* docs fix
* (perf) move s3 logging to Batch logging + async [94% faster perf under 100 RPS on 1 litellm instance] (#6165 )
* fix move s3 to use customLogger
* add basic s3 logging test
* add s3 to custom logger compatible
* use batch logger for s3
* s3 set flush interval and batch size
* fix s3 logging
* add notes on s3 logging
* fix s3 logging
* add basic s3 logging test
* fix s3 type errors
* add test for sync logging on s3
* fix: fix to debug log
---------
Co-authored-by: Ishaan Jaff <ishaanjaffer0324@gmail.com >
Co-authored-by: Willy Douhard <willy.douhard@gmail.com >
Co-authored-by: yujonglee <yujonglee.dev@gmail.com >
Co-authored-by: Ali Waleed <ali@scale3labs.com >
2024-10-11 23:04:36 -07:00
Krish Dholakia
6729c9ca7f
LiteLLM Minor Fixes & Improvements (10/07/2024) ( #6101 )
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* fix(utils.py): support dropping temperature param for azure o1 models
* fix(main.py): handle azure o1 streaming requests
o1 doesn't support streaming, fake it to ensure code works as expected
* feat(utils.py): expose `hosted_vllm/` endpoint, with tool handling for vllm
Fixes https://github.com/BerriAI/litellm/issues/6088
* refactor(internal_user_endpoints.py): cleanup unused params + update docstring
Closes https://github.com/BerriAI/litellm/issues/6100
* fix(main.py): expose custom image generation api support
Fixes https://github.com/BerriAI/litellm/issues/6097
* fix: fix linting errors
* docs(custom_llm_server.md): add docs on custom api for image gen calls
* fix(types/utils.py): handle dict type
* fix(types/utils.py): fix linting errors
2024-10-07 22:17:22 -07:00
Krrish Dholakia
3560f0ef2c
refactor: move all testing to top-level of repo
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Closes https://github.com/BerriAI/litellm/issues/486
2024-09-28 21:08:14 -07:00