Commit graph

6 commits

Author SHA1 Message Date
Krish Dholakia
6005450c8f
LiteLLM Minor Fixes & Improvements (10/09/2024) (#6139)
* fix(utils.py): don't return 'none' response headers

Fixes https://github.com/BerriAI/litellm/issues/6123

* fix(vertex_and_google_ai_studio_gemini.py): support parsing out additional properties and strict value for tool calls

Fixes https://github.com/BerriAI/litellm/issues/6136

* fix(cost_calculator.py): set default character value to none

Fixes https://github.com/BerriAI/litellm/issues/6133#issuecomment-2403290196

* fix(google.py): fix cost per token / cost per char conversion

Fixes https://github.com/BerriAI/litellm/issues/6133#issuecomment-2403370287

* build(model_prices_and_context_window.json): update gemini pricing

Fixes https://github.com/BerriAI/litellm/issues/6133

* build(model_prices_and_context_window.json): update gemini pricing

* fix(litellm_logging.py): fix streaming caching logging when 'turn_off_message_logging' enabled

Stores unredacted response in cache

* build(model_prices_and_context_window.json): update gemini-1.5-flash pricing

* fix(cost_calculator.py): fix default prompt_character count logic

Fixes error in gemini cost calculation

* fix(cost_calculator.py): fix cost calc for tts models
2024-10-10 00:42:11 -07:00
Krish Dholakia
9695c1af10
LiteLLM Minor Fixes & Improvements (10/08/2024) (#6119)
* refactor(cost_calculator.py): move error line to debug - https://github.com/BerriAI/litellm/issues/5683#issuecomment-2398599498

* fix(migrate-hidden-params-to-read-from-standard-logging-payload): Fixes https://github.com/BerriAI/litellm/issues/5546#issuecomment-2399994026

* fix(types/utils.py): mark weight as a litellm param

Fixes https://github.com/BerriAI/litellm/issues/5781

* feat(internal_user_endpoints.py): fix /user/info + show user max budget as default max budget

Fixes https://github.com/BerriAI/litellm/issues/6117

* feat: support returning team member budget in `/user/info`

Sets user max budget in team as max budget on ui

  Closes https://github.com/BerriAI/litellm/issues/6117

* bug fix for optional parameter passing to replicate (#6067)

Signed-off-by: Mandana Vaziri <mvaziri@us.ibm.com>

* fix(o1_transformation.py): handle o1 temperature=0

o1 doesn't support temp=0, allow admin to drop this param

* test: fix test

---------

Signed-off-by: Mandana Vaziri <mvaziri@us.ibm.com>
Co-authored-by: Mandana Vaziri <mvaziri@us.ibm.com>
2024-10-08 21:57:03 -07:00
Krish Dholakia
6729c9ca7f
LiteLLM Minor Fixes & Improvements (10/07/2024) (#6101)
* 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
Krish Dholakia
14165d3648
LiteLLM Minor Fixes & Improvements (10/02/2024) (#6023)
* feat(together_ai/completion): handle together ai completion calls

* fix: handle list of int / list of list of int for text completion calls

* fix(utils.py): check if base model in bedrock converse model list

Fixes https://github.com/BerriAI/litellm/issues/6003

* test(test_optional_params.py): add unit tests for bedrock optional param mapping

Fixes https://github.com/BerriAI/litellm/issues/6003

* feat(utils.py): enable passing dummy tool call for anthropic/bedrock calls if tool_use blocks exist

Fixes https://github.com/BerriAI/litellm/issues/5388

* fixed an issue with tool use of claude models with anthropic and bedrock (#6013)

* fix(utils.py): handle empty schema for anthropic/bedrock

Fixes https://github.com/BerriAI/litellm/issues/6012

* fix: fix linting errors

* fix: fix linting errors

* fix: fix linting errors

* fix(proxy_cli.py): fix import route for app + health checks path (#6026)

* (testing): Enable testing us.anthropic.claude-3-haiku-20240307-v1:0. (#6018)

* fix(proxy_cli.py): fix import route for app + health checks gettsburg.wav

Fixes https://github.com/BerriAI/litellm/issues/5999

---------

Co-authored-by: David Manouchehri <david.manouchehri@ai.moda>

---------

Co-authored-by: Ved Patwardhan <54766411+vedpatwardhan@users.noreply.github.com>
Co-authored-by: David Manouchehri <david.manouchehri@ai.moda>
2024-10-02 22:00:28 -04:00
Krish Dholakia
a1d9e96b31
LiteLLM Minor Fixes & Improvements (09/25/2024) (#5893)
* fix(langfuse.py): support new langfuse prompt_chat class init params

* fix(langfuse.py): handle new init values on prompt chat + prompt text templates

fixes error caused during langfuse logging

* docs(openai_compatible.md): clarify `openai/` handles correct routing for `/v1/completions` route

Fixes https://github.com/BerriAI/litellm/issues/5876

* fix(utils.py): handle unmapped gemini model optional param translation

Fixes https://github.com/BerriAI/litellm/issues/5888

* fix(o1_transformation.py): fix o-1 validation, to not raise error if temperature=1

Fixes https://github.com/BerriAI/litellm/issues/5884

* fix(prisma_client.py): refresh iam token

Fixes https://github.com/BerriAI/litellm/issues/5896

* fix: pass drop params where required

* fix(utils.py): pass drop_params correctly

* fix(types/vertex_ai.py): fix generation config

* test(test_max_completion_tokens.py): fix test

* fix(vertex_and_google_ai_studio_gemini.py): fix map openai params
2024-09-26 16:41:44 -07:00
Ishaan Jaff
85acdb9193
[Feat] Add max_completion_tokens param (#5691)
* add max_completion_tokens

* add max_completion_tokens

* add max_completion_tokens support for OpenAI models

* add max_completion_tokens param

* add max_completion_tokens for bedrock converse models

* add test for converse maxTokens

* fix openai o1 param mapping test

* move test optional params

* add max_completion_tokens for anthropic api

* fix conftest

* add max_completion tokens for vertex ai partner models

* add max_completion_tokens for fireworks ai

* add max_completion_tokens for hf rest api

* add test for param mapping

* add param mapping for vertex, gemini + testing

* predibase is the most unstable and unusable llm api in prod, can't handle our ci/cd

* add max_completion_tokens to openai supported params

* fix fireworks ai param mapping
2024-09-14 14:57:01 -07:00
Renamed from litellm/tests/test_optional_params.py (Browse further)