litellm/litellm/proxy
2024-08-08 23:34:06 -07:00
..
_experimental Merge branch 'main' into litellm_sso_team_member_add 2024-08-08 23:34:06 -07:00
analytics_endpoints
auth fix(user_api_key_auth.py): Fixes https://github.com/BerriAI/litellm/issues/5111 2024-08-08 17:18:59 -07:00
common_utils Merge branch 'main' into litellm_support_lakera_config_thresholds 2024-08-06 22:47:13 -07:00
db
example_config_yaml
fine_tuning_endpoints use native endpoints 2024-08-03 16:52:43 -07:00
guardrails Merge branch 'main' into litellm_parallel_requests 2024-07-24 19:25:56 -07:00
health_endpoints fix email health checks 2024-08-06 15:59:26 -07:00
hooks fix(utils.py): handle scenario where model="azure/*" and custom_llm_provider="azure" 2024-08-02 17:48:53 -07:00
management_endpoints fix(management_helpers/utils.py): use user_default max_budget, budget duration on new user upsert during team member add 2024-08-08 19:14:43 -07:00
management_helpers fix(management_helpers/utils.py): use user_default max_budget, budget duration on new user upsert during team member add 2024-08-08 19:14:43 -07:00
openai_files_endpoints fix POST files 2024-07-31 16:27:59 -07:00
pass_through_endpoints fix pass through endpoint tests 2024-08-06 21:16:07 -07:00
proxy_load_test
queue
secret_managers
spend_tracking
tests docs cachedContent endpoint 2024-08-08 23:27:02 -07:00
ui_crud_endpoints
vertex_ai_endpoints add native cachedContents endpoint 2024-08-08 17:19:12 -07:00
__init__.py
_logging.py
_new_secret_config.yaml fix(anthropic.py): fix translation from /v1/messages format to openai format 2024-08-08 23:26:14 -07:00
_super_secret_config.yaml
_types.py fix(proxy_server.py): respect internal_user_budget_duration for sso user 2024-08-08 17:28:28 -07:00
.gitignore
admin_ui.py
cached_logo.jpg
caching_routes.py
custom_callbacks1.py
custom_callbacks.py
custom_handler.py feat(proxy_server.py): support custom llm handler on proxy 2024-07-25 19:35:52 -07:00
enterprise
health_check.py
lambda.py
litellm_pre_call_utils.py use itellm.forward_traceparent_to_llm_provider 2024-08-01 18:07:38 -07:00
llamaguard_prompt.txt
logo.jpg
openapi.json
otel_config.yaml
post_call_rules.py
prisma_migration.py
proxy_cli.py Merge pull request #5057 from BerriAI/litellm_rds_iam_auth 2024-08-06 10:44:33 -07:00
proxy_config.yaml add default_vertex_config 2024-08-08 17:19:12 -07:00
proxy_server.py fix(proxy_server.py): ensure internal_user params only apply to internal_user role 2024-08-08 17:50:29 -07:00
README.md
schema.prisma fix DB accept null values for api_base, user, etc 2024-07-23 16:33:04 -07:00
start.sh
utils.py Merge pull request #5058 from BerriAI/litellm_add_debug_statements_connecting_prisma 2024-08-05 20:53:55 -07:00

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.