Commit graph

1134 commits

Author SHA1 Message Date
Ishaan Jaff
ffb752d878 fix entrypoint 2024-08-26 20:32:23 -07:00
Krrish Dholakia
b989762bb0 fix(sagemaker.py): support streaming for messages api
Fixes https://github.com/BerriAI/litellm/issues/5372
2024-08-26 15:08:08 -07:00
Ishaan Jaff
5c1ebb6ac2 use common folder for cohere 2024-08-26 14:28:50 -07:00
Ishaan Jaff
2481d6007b refactor cohere to be in a folder 2024-08-26 14:16:25 -07:00
Krrish Dholakia
8df5b25b31 fix(main.py): fix linting errors 2024-08-26 11:44:37 -07:00
Krish Dholakia
bc2a96b2a5 Merge branch 'main' into litellm_vertex_migration 2024-08-24 18:24:19 -07:00
Krrish Dholakia
79bfdb83cc fix(main.py): cover openai /v1/completions endpoint 2024-08-24 13:25:17 -07:00
Krrish Dholakia
ea2077be22 test(test_router.py): add test to ensure error is correctly re-raised 2024-08-24 10:08:14 -07:00
Krish Dholakia
5eba49c112 Merge pull request #5343 from BerriAI/litellm_sagemaker_chat
feat(sagemaker.py): add sagemaker messages api support
2024-08-23 21:00:00 -07:00
Ishaan Jaff
d0c369477b add mock testing for vertex tts 2024-08-23 18:18:37 -07:00
Ishaan Jaff
39efd58b1e docs on using vertex tts 2024-08-23 17:57:49 -07:00
Ishaan Jaff
01f766bf89 fix linting 2024-08-23 16:05:31 -07:00
Ishaan Jaff
4e9a44f8d3 fix linting errors 2024-08-23 15:44:31 -07:00
Krrish Dholakia
f7aa787fe6 feat(sagemaker.py): add sagemaker messages api support
Closes https://github.com/BerriAI/litellm/issues/2641

 Closes https://github.com/BerriAI/litellm/pull/5178
2024-08-23 10:31:35 -07:00
Krish Dholakia
11cbf60e4f Merge branch 'main' into litellm_azure_batch_apis 2024-08-22 19:07:54 -07:00
Ishaan Jaff
2864d16fa1 Merge branch 'main' into litellm_allow_using_azure_ad_token_auth 2024-08-22 18:21:24 -07:00
Krrish Dholakia
b7f42c96a4 feat(azure.py): support health checking azure deployments
Fixes https://github.com/BerriAI/litellm/issues/5279
2024-08-22 16:11:14 -07:00
Ishaan Jaff
b16752f0bc add new litellm params for client_id, tenant_id etc 2024-08-22 11:37:30 -07:00
Ishaan Jaff
525d152d85 use azure_ad_token_provider to init clients 2024-08-22 11:03:49 -07:00
Krrish Dholakia
900d8ecbf0 feat(factory.py): enable 'user_continue_message' for interweaving user/assistant messages when provider requires it
allows bedrock to be used with autogen
2024-08-22 11:03:33 -07:00
Krrish Dholakia
8f306f8e41 fix(cohere_chat.py): support passing 'extra_headers'
Fixes https://github.com/BerriAI/litellm/issues/4709
2024-08-22 10:17:36 -07:00
Krrish Dholakia
2dd616bad0 fix(ollama_chat.py): fix passing assistant message with tool call param
Fixes https://github.com/BerriAI/litellm/issues/5319
2024-08-22 10:00:03 -07:00
Ishaan Jaff
0435101df4 add multi modal vtx embedding 2024-08-21 15:05:59 -07:00
Ishaan Jaff
be6eb52036 add initial support for multimodal_embedding vertex 2024-08-21 14:29:05 -07:00
Krish Dholakia
85c5d4f8c2 Merge branch 'main' into litellm_fix_azure_api_version 2024-08-20 11:40:53 -07:00
Krrish Dholakia
bc0710a3e6 fix(main.py): response_format typing for acompletion
Fixes https://github.com/BerriAI/litellm/issues/5239
2024-08-20 08:14:14 -07:00
Krrish Dholakia
d08479b52c feat(azure.py): support dynamic api versions
Closes https://github.com/BerriAI/litellm/issues/5228
2024-08-19 12:17:43 -07:00
Krish Dholakia
0916197c9d Merge pull request #5244 from BerriAI/litellm_better_error_logging_sentry
refactor: replace .error() with .exception() logging for better debugging on sentry
2024-08-16 19:16:20 -07:00
Krrish Dholakia
9efe9982f5 fix(health_check.py): return 'missing mode' error message, if error with health check, and mode is missing 2024-08-16 17:24:29 -07:00
Krrish Dholakia
2874b94fb1 refactor: replace .error() with .exception() logging for better debugging on sentry 2024-08-16 09:22:47 -07:00
Ishaan Jaff
953a67ba4c refactor sagemaker to be async 2024-08-15 18:18:02 -07:00
Krrish Dholakia
3026e69926 fix(utils.py): support calling openai models via azure_ai/ 2024-08-14 13:41:04 -07:00
Krrish Dholakia
3fd02a1587 fix(main.py): safely fail stream_chunk_builder calls 2024-08-10 10:22:26 -07:00
Krrish Dholakia
5357bd7799 docs(main.py): clarify 'num_retries' usage 2024-08-09 16:57:06 -07:00
Krrish Dholakia
abda7e37ec fix(utils.py): set max_retries = num_retries, if given 2024-08-09 16:54:54 -07:00
Ishaan Jaff
0561c06bcf fix cohere / cohere_chat when timeout is None 2024-08-09 12:10:02 -07:00
Krish Dholakia
ab487f0cf9 Merge pull request #5079 from BerriAI/litellm_add_pydantic_model_support
feat(utils.py): support passing response_format as pydantic model
2024-08-07 14:43:05 -07:00
Krish Dholakia
78d72acc44 Merge branch 'main' into litellm_anthropic_streaming_tool_call_fix 2024-08-07 14:33:30 -07:00
Krrish Dholakia
661529beb7 fix(main.py): fix linting error for python3.8 2024-08-07 13:21:35 -07:00
Krish Dholakia
77a33baabb Merge branch 'main' into litellm_add_pydantic_model_support 2024-08-07 13:07:46 -07:00
Krrish Dholakia
ec4051592b fix(anthropic.py): handle scenario where anthropic returns invalid json string for tool call while streaming
Fixes https://github.com/BerriAI/litellm/issues/5063
2024-08-07 09:24:11 -07:00
Ishaan Jaff
7d6d7f2bab fix use extra headers for open router 2024-08-07 08:15:05 -07:00
Krrish Dholakia
2b132c6bef feat(utils.py): support passing response_format as pydantic model
Related issue - https://github.com/BerriAI/litellm/issues/5074
2024-08-06 18:16:07 -07:00
Krrish Dholakia
8a671aa20b fix(main.py): log hidden params for text completion calls 2024-08-05 21:26:48 -07:00
Krrish Dholakia
8500f6d087 feat(caching.py): enable caching on provider-specific optional params
Closes https://github.com/BerriAI/litellm/issues/5049
2024-08-05 11:18:59 -07:00
Krish Dholakia
88a2428ee6 Merge branch 'main' into litellm_anthropic_api_streaming 2024-08-03 21:16:50 -07:00
Krrish Dholakia
5810708c71 feat(anthropic_adapter.py): support streaming requests for /v1/messages endpoint
Fixes https://github.com/BerriAI/litellm/issues/5011
2024-08-03 20:16:19 -07:00
Joe Cheng
fa9298d588 Use correct key name 2024-08-03 11:58:46 -07:00
Joe Cheng
b4df896ac9 Fix tool call coalescing
The previous code seemed to assume that the tool call index property
started at 0, but Anthropic sometimes returns them starting at 1.
This was causing an extra null-ish tool call to be materialized.
2024-08-02 13:05:23 -07:00
Joe Cheng
0f301a120f fix(main.py): Handle bedrock tool calling in stream_chunk_builder
Fixes #5022.

The streaming chunks from Anthropic seem to violate an assumption
that is implicit in the stream_chunk_builder implementation: that
only tool_calls OR function_calls OR content will appear in a
streamed response. The repro in #5022 shows that you can get
content followed by tool calls.

These changes properly handle these combinations by building
separate lists of each type of chunk (note that in theory a chunk
could appear in multiple lists, e.g. both delta.tool_calls and
delta.content being present on one chunk).
2024-08-02 12:41:13 -07:00