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formatting changes
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2 changed files with 2 additions and 13 deletions
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@ -403,11 +403,7 @@ class OpenAIResponseText(BaseModel):
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# Must match type Literals of OpenAIResponseInputToolWebSearch below
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WebSearchToolTypes = [
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"web_search",
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"web_search_preview",
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"web_search_preview_2025_03_11",
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]
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WebSearchToolTypes = ["web_search", "web_search_preview", "web_search_preview_2025_03_11"]
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@json_schema_type
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@ -500,7 +496,6 @@ class OpenAIResponseInputToolMCP(BaseModel):
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server_label: str
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server_url: str
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headers: dict[str, Any] | None = None
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# Authorization is excluded from serialization for security (never returned in responses)
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authorization: str | None = Field(default=None, exclude=True)
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require_approval: Literal["always"] | Literal["never"] | ApprovalFilter = "never"
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@ -12,10 +12,6 @@ from pydantic import BaseModel
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class MCPProviderDataValidator(BaseModel):
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"""
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Validator for MCP provider-specific data passed via request headers.
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This data structure is passed in the X-LlamaStack-Provider-Data header
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to provide MCP endpoint-specific configuration.
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Example usage:
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HTTP Request Headers:
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X-LlamaStack-Provider-Data: {
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@ -29,18 +25,16 @@ class MCPProviderDataValidator(BaseModel):
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"http://weather-mcp.com": "weather_api_token_xyz"
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}
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}
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Security Note:
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- Authorization header MUST NOT be placed in mcp_headers
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- Use the dedicated mcp_authorization field instead
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- Each MCP endpoint can have its own separate token
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- Tokens are provided WITHOUT the "Bearer " prefix (added automatically)
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"""
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# mcp_endpoint => dict of headers to send (excluding Authorization)
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mcp_headers: dict[str, dict[str, str]] | None = None
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# mcp_endpoint => authorization token (without "Bearer " prefix)
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# mcp_endpoint => authorization token
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# Example: {"http://server.com": "token123"}
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mcp_authorization: dict[str, str] | None = None
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