36e0361187
* add has_client_credentials * MCPOAuth2TokenCache * init MCP Oauth2 constants * MCPOAuth2TokenCache * resolve_mcp_auth * test fixes * docs fix * address greptile review: min TTL, env-configurable constants, tests, docs - Fix zero-TTL edge case: floor at MCP_OAUTH2_TOKEN_CACHE_MIN_TTL (10s) - Make all MCP OAuth2 constants env-configurable via os.getenv() - Move test file to follow 1:1 mapping convention (test_oauth2_token_cache.py) - Add MCP OAuth doc page (mcp_oauth.md) with M2M and PKCE sections - Update FAQ in mcp.md to reflect M2M support - Add E2E test script and config Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * fix mypy lint * fix oauth2 * ui feat fixes * test M2M * test fix * ui feats * ui fixes * ui fix client ID * fix: backend endpoints * docs fix * fixes greptile --------- Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
64 lines
1.7 KiB
YAML
64 lines
1.7 KiB
YAML
model_list:
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- model_name: gpt-4o
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litellm_params:
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model: openai/gpt-4o
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api_key: os.environ/OPENAI_API_KEY
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- model_name: text-embedding-3-small
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litellm_params:
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model: openai/text-embedding-3-small
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api_key: os.environ/OPENAI_API_KEY
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- model_name: bedrock-claude-sonnet-3.5
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litellm_params:
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model: "bedrock/us.anthropic.claude-3-5-sonnet-20240620-v1:0"
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aws_region_name: "us-east-1"
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- model_name: bedrock-claude-sonnet-4
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litellm_params:
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model: "bedrock/us.anthropic.claude-sonnet-4-20250514-v1:0"
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aws_region_name: "us-east-1"
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- model_name: bedrock-claude-sonnet-4.5
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litellm_params:
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model: "bedrock/us.anthropic.claude-sonnet-4-5-20250929-v1:0"
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aws_region_name: "us-east-1"
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- model_name: bedrock-claude-opus-4.5
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litellm_params:
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model: "bedrock/converse/us.anthropic.claude-opus-4-5-20251101-v1:0"
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aws_region_name: "us-east-1"
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- model_name: bedrock-nova-premier
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litellm_params:
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model: "bedrock/us.amazon.nova-premier-v1:0"
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aws_region_name: "us-east-1"
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# MCP Server Configuration
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mcp_servers:
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# Wikipedia MCP - reliable and works without external deps
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wikipedia:
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transport: "stdio"
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command: "uvx"
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args: ["mcp-server-fetch"]
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description: "Fetch web pages and Wikipedia content"
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deepwiki:
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transport: "http"
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url: "https://mcp.deepwiki.com/mcp"
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# General Settings
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general_settings:
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master_key: sk-1234
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store_model_in_db: false
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# LiteLLM Settings
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litellm_settings:
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# Enable MCP Semantic Tool Filter
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mcp_semantic_tool_filter:
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enabled: true
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embedding_model: "text-embedding-3-small"
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top_k: 5
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similarity_threshold: 0.3
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