mirror of
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* Add date picker to usage tab + Add reasoning_content token tracking across all providers on streaming (#9722) * feat(new_usage.tsx): add date picker for new usage tab allow user to look back on their usage data * feat(anthropic/chat/transformation.py): report reasoning tokens in completion token details allows usage tracking on how many reasoning tokens are actually being used * feat(streaming_chunk_builder.py): return reasoning_tokens in anthropic/openai streaming response allows tracking reasoning_token usage across providers * Fix update team metadata + fix bulk adding models on Ui (#9721) * fix(handle_add_model_submit.tsx): fix bulk adding models * fix(team_info.tsx): fix team metadata update Fixes https://github.com/BerriAI/litellm/issues/9689 * (v0) Unified file id - allow calling multiple providers with same file id (#9718) * feat(files_endpoints.py): initial commit adding 'target_model_names' support allow developer to specify all the models they want to call with the file * feat(files_endpoints.py): return unified files endpoint * test(test_files_endpoints.py): add validation test - if invalid purpose submitted * feat: more updates * feat: initial working commit of unified file id translation * fix: additional fixes * fix(router.py): remove model replace logic in jsonl on acreate_file enables file upload to work for chat completion requests as well * fix(files_endpoints.py): remove whitespace around model name * fix(azure/handler.py): return acreate_file with correct response type * fix: fix linting errors * test: fix mock test to run on github actions * fix: fix ruff errors * fix: fix file too large error * fix(utils.py): remove redundant var * test: modify test to work on github actions * test: update tests * test: more debug logs to understand ci/cd issue * test: fix test for respx * test: skip mock respx test fails on ci/cd - not clear why * fix: fix ruff check * fix: fix test * fix(model_connection_test.tsx): fix linting error * test: update unit tests |
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| .. | ||
| _experimental | ||
| analytics_endpoints | ||
| anthropic_endpoints | ||
| auth | ||
| batches_endpoints | ||
| common_utils | ||
| config_management_endpoints | ||
| credential_endpoints | ||
| db | ||
| example_config_yaml | ||
| fine_tuning_endpoints | ||
| guardrails | ||
| health_endpoints | ||
| hooks | ||
| management_endpoints | ||
| management_helpers | ||
| openai_files_endpoints | ||
| pass_through_endpoints | ||
| rerank_endpoints | ||
| response_api_endpoints | ||
| spend_tracking | ||
| types_utils | ||
| ui_crud_endpoints | ||
| vertex_ai_endpoints | ||
| .gitignore | ||
| __init__.py | ||
| _logging.py | ||
| _new_new_secret_config.yaml | ||
| _new_secret_config.yaml | ||
| _super_secret_config.yaml | ||
| _types.py | ||
| cached_logo.jpg | ||
| caching_routes.py | ||
| common_request_processing.py | ||
| custom_prompt_management.py | ||
| custom_sso.py | ||
| custom_validate.py | ||
| enterprise | ||
| health_check.py | ||
| lambda.py | ||
| litellm_pre_call_utils.py | ||
| llamaguard_prompt.txt | ||
| logo.jpg | ||
| mcp_tools.py | ||
| model_config.yaml | ||
| openapi.json | ||
| post_call_rules.py | ||
| prisma_migration.py | ||
| proxy_cli.py | ||
| proxy_config.yaml | ||
| proxy_server.py | ||
| README.md | ||
| route_llm_request.py | ||
| schema.prisma | ||
| start.sh | ||
| utils.py | ||
litellm-proxy
A local, fast, and lightweight OpenAI-compatible server to call 100+ LLM APIs.
usage
$ pip install litellm
$ litellm --model ollama/codellama
#INFO: Ollama running on http://0.0.0.0:8000
replace openai base
import openai # openai v1.0.0+
client = openai.OpenAI(api_key="anything",base_url="http://0.0.0.0:8000") # set proxy to base_url
# request sent to model set on litellm proxy, `litellm --model`
response = client.chat.completions.create(model="gpt-3.5-turbo", messages = [
{
"role": "user",
"content": "this is a test request, write a short poem"
}
])
print(response)
See how to call Huggingface,Bedrock,TogetherAI,Anthropic, etc.
Folder Structure
Routes
proxy_server.py- all openai-compatible routes -/v1/chat/completion,/v1/embedding+ model info routes -/v1/models,/v1/model/info,/v1/model_group_inforoutes.health_endpoints/-/health,/health/liveliness,/health/readinessmanagement_endpoints/key_management_endpoints.py- all/key/*routesmanagement_endpoints/team_endpoints.py- all/team/*routesmanagement_endpoints/internal_user_endpoints.py- all/user/*routesmanagement_endpoints/ui_sso.py- all/sso/*routes