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11f85d883f
* feat(proxy/_types.py): add lago billing to callbacks ui Closes https://github.com/BerriAI/litellm/issues/5472 * fix(anthropic.py): return anthropic prompt caching information Fixes https://github.com/BerriAI/litellm/issues/5364 * feat(bedrock/chat.py): support 'json_schema' for bedrock models Closes https://github.com/BerriAI/litellm/issues/5434 * fix(bedrock/embed/embeddings.py): support async embeddings for amazon titan models * fix: linting fixes * fix: handle key errors * fix(bedrock/chat.py): fix bedrock ai21 streaming object * feat(bedrock/embed): support bedrock embedding optional params * fix(databricks.py): fix usage chunk * fix(internal_user_endpoints.py): apply internal user defaults, if user role updated Fixes issue where user update wouldn't apply defaults * feat(slack_alerting.py): provide multiple slack channels for a given alert type multiple channels might be interested in receiving an alert for a given type * docs(alerting.md): add multiple channel alerting to docs |
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| .. | ||
| _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 | ||
| out | ||
| pass_through_endpoints | ||
| proxy_load_test | ||
| queue | ||
| rerank_endpoints | ||
| secret_managers | ||
| spend_tracking | ||
| tests | ||
| ui_crud_endpoints | ||
| vertex_ai_endpoints | ||
| .gitignore | ||
| __init__.py | ||
| _logging.py | ||
| _new_secret_config.yaml | ||
| _super_secret_config.yaml | ||
| _types.py | ||
| admin_ui.py | ||
| cached_logo.jpg | ||
| caching_routes.py | ||
| custom_callbacks.py | ||
| custom_callbacks1.py | ||
| custom_guardrail.py | ||
| custom_handler.py | ||
| enterprise | ||
| health_check.py | ||
| lambda.py | ||
| litellm_pre_call_utils.py | ||
| llamaguard_prompt.txt | ||
| logo.jpg | ||
| openapi.json | ||
| otel_config.yaml | ||
| 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.