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https://github.com/tiennm99/litellm.git
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Krish DholakiaandGitHub
4be0ec8e35
* feat(parallel_request_limiter_v3.py): allows admin to enforce token rate limit based on just output tokens Useful when trying to rate limit for primarily self hosted model use-cases * test(test_parallel_request_limiter_v3.py): add unit test for token rate limit type * feat(parallel_request_limiter_v3.py): return remaining token limits in header * feat: return rate limit headers in response * feat(parallel_request_limiter_v3.py): working rate limit response headers * feat(parallel_request_limiter_v3.py): fix rate limit tracking for tpm when rpm also set * feat(parallel_request_limiter_v3.py): show headers for key/user/team * feat(parallel_request_limiter_v3.py): decrement max parallel request limiter on failure event * feat(parallel_request_limiter_v3.py): add in-memory cache implementation of parallel request rate limiter allows rate limiter to work even without redis cache setup Work for GA of parallel request limiter v3 * refactor(proxy/hooks/__init__.py): replace with new parallel request handler * test: update testing * fix: fix ruff check * fix: revert ga of multi instance rate limiting - needs more work to pass testing
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