mirror of
https://github.com/BerriAI/litellm.git
synced 2025-04-26 03:04:13 +00:00
* 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> |
||
---|---|---|
.. | ||
_experimental | ||
analytics_endpoints | ||
auth | ||
common_utils | ||
config_management_endpoints | ||
db | ||
example_config_yaml | ||
fine_tuning_endpoints | ||
guardrails | ||
health_endpoints | ||
hooks | ||
management_endpoints | ||
management_helpers | ||
openai_files_endpoints | ||
pass_through_endpoints | ||
proxy_load_test | ||
rerank_endpoints | ||
spend_tracking | ||
ui_crud_endpoints | ||
vertex_ai_endpoints | ||
.gitignore | ||
__init__.py | ||
_logging.py | ||
_new_secret_config.yaml | ||
_super_secret_config.yaml | ||
_types.py | ||
cached_logo.jpg | ||
caching_routes.py | ||
custom_sso.py | ||
enterprise | ||
health_check.py | ||
lambda.py | ||
litellm_pre_call_utils.py | ||
llamaguard_prompt.txt | ||
logo.jpg | ||
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_info
routes.health_endpoints/
-/health
,/health/liveliness
,/health/readiness
management_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