litellm/litellm/proxy/proxy_config.yaml
ryan-crabbe-berri c8e0f2ddb4 docs: stop advertising sk-1234 as the master key in shipped configs and examples
Shipped proxy configs now read general_settings.master_key from
os.environ/LITELLM_MASTER_KEY, the .env examples ship a blank value with
the openssl generate command above it, and READMEs, the missing env vars
page and Admin UI code snippets show a generate command or the
<your-master-key> placeholder instead of the literal sk-1234

The two CircleCI docker runs that mount proxy_server_config.yaml and
oai_misc_config.yaml now pass LITELLM_MASTER_KEY so their runtime key is
unchanged
2026-09-19 12:59:48 -07:00

63 lines
1.7 KiB
YAML

model_list:
- model_name: gpt-4o
litellm_params:
model: openai/gpt-4o
api_key: os.environ/OPENAI_API_KEY
- model_name: text-embedding-3-small
litellm_params:
model: openai/text-embedding-3-small
api_key: os.environ/OPENAI_API_KEY
- model_name: bedrock-claude-sonnet-3.5
litellm_params:
model: "bedrock/us.anthropic.claude-3-5-sonnet-20240620-v1:0"
aws_region_name: "us-east-1"
- model_name: bedrock-claude-sonnet-4
litellm_params:
model: "bedrock/us.anthropic.claude-sonnet-4-20250514-v1:0"
aws_region_name: "us-east-1"
- model_name: bedrock-claude-sonnet-4.5
litellm_params:
model: "bedrock/us.anthropic.claude-sonnet-4-5-20250929-v1:0"
aws_region_name: "us-east-1"
- model_name: bedrock-claude-opus-4.5
litellm_params:
model: "bedrock/converse/us.anthropic.claude-opus-4-5-20251101-v1:0"
aws_region_name: "us-east-1"
- model_name: bedrock-nova-premier
litellm_params:
model: "bedrock/us.amazon.nova-premier-v1:0"
aws_region_name: "us-east-1"
# MCP Server Configuration
mcp_servers:
# Wikipedia MCP - reliable and works without external deps
wikipedia:
transport: "stdio"
command: "uvx"
args: ["mcp-server-fetch"]
description: "Fetch web pages and Wikipedia content"
deepwiki:
transport: "http"
url: "https://mcp.deepwiki.com/mcp"
# General Settings
general_settings:
master_key: os.environ/LITELLM_MASTER_KEY
store_model_in_db: false
# LiteLLM Settings
litellm_settings:
# Enable MCP Semantic Tool Filter
mcp_semantic_tool_filter:
enabled: true
embedding_model: "text-embedding-3-small"
top_k: 5
similarity_threshold: 0.3