/
proxy_server_config.yaml
122 lines (119 loc) · 4.48 KB
/
proxy_server_config.yaml
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model_list:
- model_name: gpt-3.5-turbo
litellm_params:
model: azure/gpt-35-turbo
api_base: https://my-endpoint-europe-berri-992.openai.azure.com/
api_key: os.environ/AZURE_EUROPE_API_KEY
- model_name: gpt-3.5-turbo
litellm_params:
model: azure/chatgpt-v-2
api_base: https://openai-gpt-4-test-v-1.openai.azure.com/
api_version: "2023-05-15"
api_key: os.environ/AZURE_API_KEY # The `os.environ/` prefix tells litellm to read this from the env. See https://docs.litellm.ai/docs/simple_proxy#load-api-keys-from-vault
- model_name: gpt-3.5-turbo-large
litellm_params:
model: "gpt-3.5-turbo-1106"
api_key: os.environ/OPENAI_API_KEY
rpm: 480
timeout: 300
stream_timeout: 60
- model_name: gpt-4
litellm_params:
model: azure/chatgpt-v-2
api_base: https://openai-gpt-4-test-v-1.openai.azure.com/
api_version: "2023-05-15"
api_key: os.environ/AZURE_API_KEY # The `os.environ/` prefix tells litellm to read this from the env. See https://docs.litellm.ai/docs/simple_proxy#load-api-keys-from-vault
rpm: 480
timeout: 300
stream_timeout: 60
- model_name: sagemaker-completion-model
litellm_params:
model: sagemaker/berri-benchmarking-Llama-2-70b-chat-hf-4
input_cost_per_second: 0.000420
- model_name: text-embedding-ada-002
litellm_params:
model: azure/azure-embedding-model
api_key: os.environ/AZURE_API_KEY
api_base: https://openai-gpt-4-test-v-1.openai.azure.com/
api_version: "2023-05-15"
model_info:
mode: embedding
base_model: text-embedding-ada-002
- model_name: dall-e-2
litellm_params:
model: azure/
api_version: 2023-06-01-preview
api_base: https://openai-gpt-4-test-v-1.openai.azure.com/
api_key: os.environ/AZURE_API_KEY
- model_name: openai-dall-e-3
litellm_params:
model: dall-e-3
- model_name: fake-openai-endpoint
litellm_params:
model: openai/fake
api_key: fake-key
api_base: https://exampleopenaiendpoint-production.up.railway.app/
- model_name: fake-openai-endpoint-2
litellm_params:
model: openai/my-fake-model
api_key: my-fake-key
api_base: https://exampleopenaiendpoint-production.up.railway.app/
stream_timeout: 0.001
rpm: 1
- model_name: fake-openai-endpoint-3
litellm_params:
model: openai/my-fake-model
api_key: my-fake-key
api_base: https://exampleopenaiendpoint-production.up.railway.app/
stream_timeout: 0.001
rpm: 100
- model_name: fake-openai-endpoint-3
litellm_params:
model: openai/my-fake-model-2
api_key: my-fake-key
api_base: https://exampleopenaiendpoint-production.up.railway.app/
stream_timeout: 0.001
rpm: 100
- model_name: "*"
litellm_params:
model: openai/*
api_key: os.environ/OPENAI_API_KEY
- model_name: gpt-instruct # [PROD TEST] - tests if `/health` automatically infers this to be a text completion model
litellm_params:
model: text-completion-openai/gpt-3.5-turbo-instruct
litellm_settings:
drop_params: True
# max_budget: 100
# budget_duration: 30d
num_retries: 5
request_timeout: 600
telemetry: False
context_window_fallbacks: [{"gpt-3.5-turbo": ["gpt-3.5-turbo-large"]}]
default_team_settings:
- team_id: team-1
success_callback: ["langfuse"]
langfuse_public_key: os.environ/LANGFUSE_PROJECT1_PUBLIC # Project 1
langfuse_secret: os.environ/LANGFUSE_PROJECT1_SECRET # Project 1
- team_id: team-2
success_callback: ["langfuse"]
langfuse_public_key: os.environ/LANGFUSE_PROJECT2_PUBLIC # Project 2
langfuse_secret: os.environ/LANGFUSE_PROJECT2_SECRET # Project 2
router_settings:
routing_strategy: usage-based-routing-v2
redis_host: os.environ/REDIS_HOST
redis_password: os.environ/REDIS_PASSWORD
redis_port: os.environ/REDIS_PORT
enable_pre_call_checks: true
general_settings:
master_key: sk-1234 # [OPTIONAL] Use to enforce auth on proxy. See - https://docs.litellm.ai/docs/proxy/virtual_keys
store_model_in_db: True
proxy_budget_rescheduler_min_time: 60
proxy_budget_rescheduler_max_time: 64
proxy_batch_write_at: 1
database_connection_pool_limit: 10
# database_url: "postgresql://<user>:<password>@<host>:<port>/<dbname>" # [OPTIONAL] use for token-based auth to proxy
# environment_variables:
# settings for using redis caching
# REDIS_HOST: redis-16337.c322.us-east-1-2.ec2.cloud.redislabs.com
# REDIS_PORT: "16337"
# REDIS_PASSWORD: