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feat(tool-runtime): Add authorization parameter with backward compatibility
Implement Phase 1 of MCP auth migration: - Add authorization parameter to list_runtime_tools() and invoke_tool() - Maintain backward compatibility with X-LlamaStack-Provider-Data header - Tests use old header-based auth to avoid client SDK dependency - New parameter takes precedence when both methods provided Phase 2 will migrate tests to new parameter after Stainless SDK release. Related: PR #4052
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fa2b361f46
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4 changed files with 161 additions and 40 deletions
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@ -13,14 +13,11 @@ 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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Note: MCP authentication and headers are now configured via the request body
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(OpenAIResponseInputToolMCP.authorization and .headers fields) rather than
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via provider data to simplify the API and avoid multiple configuration paths.
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This validator is kept for future provider-data extensions if needed.
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Phase 1: Support old header-based authentication for backward compatibility.
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In Phase 2, this will be deprecated in favor of the authorization parameter.
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"""
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pass
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mcp_headers: dict[str, dict[str, str]] | None = None # Map of URI -> headers dict
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class MCPProviderConfig(BaseModel):
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@ -48,9 +48,18 @@ class ModelContextProtocolToolRuntimeImpl(ToolGroupsProtocolPrivate, ToolRuntime
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if mcp_endpoint is None:
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raise ValueError("mcp_endpoint is required")
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# Use authorization parameter for MCP servers that require auth
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headers = {}
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return await list_mcp_tools(endpoint=mcp_endpoint.uri, headers=headers, authorization=authorization)
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# Phase 1: Support both old header-based auth AND new authorization parameter
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# Get headers and auth from provider data (old approach)
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provider_headers, provider_auth = await self.get_headers_from_request(mcp_endpoint.uri)
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# New authorization parameter takes precedence over provider data
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final_authorization = authorization or provider_auth
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return await list_mcp_tools(
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endpoint=mcp_endpoint.uri,
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headers=provider_headers,
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authorization=final_authorization
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)
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async def invoke_tool(
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self, tool_name: str, kwargs: dict[str, Any], authorization: str | None = None
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@ -62,30 +71,60 @@ class ModelContextProtocolToolRuntimeImpl(ToolGroupsProtocolPrivate, ToolRuntime
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if urlparse(endpoint).scheme not in ("http", "https"):
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raise ValueError(f"Endpoint {endpoint} is not a valid HTTP(S) URL")
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# Authorization now comes from request body parameter (not provider-data)
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headers = {}
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# Phase 1: Support both old header-based auth AND new authorization parameter
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# Get headers and auth from provider data (old approach)
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provider_headers, provider_auth = await self.get_headers_from_request(endpoint)
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# New authorization parameter takes precedence over provider data
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final_authorization = authorization or provider_auth
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return await invoke_mcp_tool(
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endpoint=endpoint,
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tool_name=tool_name,
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kwargs=kwargs,
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headers=headers,
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authorization=authorization,
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headers=provider_headers,
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authorization=final_authorization,
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)
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async def get_headers_from_request(self, mcp_endpoint_uri: str) -> tuple[dict[str, str], str | None]:
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"""
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Placeholder method for extracting headers and authorization.
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Extract headers and authorization from request provider data (Phase 1 backward compatibility).
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Note: MCP authentication and headers are now configured via the request body
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(OpenAIResponseInputToolMCP.authorization and .headers fields) and are handled
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by the responses API layer, not at the provider level.
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This method is kept for interface compatibility but returns empty values
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as the tool runtime provider no longer extracts per-request configuration.
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For security, Authorization should not be passed via mcp_headers.
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Instead, use a dedicated authorization field in the provider data.
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Returns:
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Tuple of (empty_headers_dict, None)
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Tuple of (headers_dict, authorization_token)
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- headers_dict: All headers except Authorization
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- authorization_token: Token from Authorization header (with "Bearer " prefix removed), or None
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Raises:
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ValueError: If Authorization header is found in mcp_headers (security risk)
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"""
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# Headers and authorization are now handled at the responses API layer
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# via OpenAIResponseInputToolMCP.headers and .authorization fields
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return {}, None
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def canonicalize_uri(uri: str) -> str:
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return f"{urlparse(uri).netloc or ''}/{urlparse(uri).path or ''}"
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headers = {}
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authorization = None
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provider_data = self.get_request_provider_data()
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if provider_data and hasattr(provider_data, 'mcp_headers') and provider_data.mcp_headers:
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for uri, values in provider_data.mcp_headers.items():
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if canonicalize_uri(uri) != canonicalize_uri(mcp_endpoint_uri):
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continue
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# Security check: reject Authorization header in mcp_headers
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# This prevents accidentally passing inference tokens to MCP servers
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for key in values.keys():
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if key.lower() == "authorization":
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# Extract authorization token and strip "Bearer " prefix if present
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auth_value = values[key]
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if auth_value.startswith("Bearer "):
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authorization = auth_value[7:] # Remove "Bearer " prefix
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else:
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authorization = auth_value
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else:
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headers[key] = values[key]
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return headers, authorization
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@ -4,6 +4,8 @@
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# This source code is licensed under the terms described in the LICENSE file in
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# the root directory of this source tree.
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import json
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import pytest
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from llama_stack_client.lib.agents.agent import Agent
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from llama_stack_client.lib.agents.turn_events import StepCompleted, StepProgress, ToolCallIssuedDelta
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@ -35,13 +37,24 @@ def test_mcp_invocation(llama_stack_client, text_model_id, mcp_server):
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mcp_endpoint=dict(uri=uri),
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)
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# Authorization now passed as request body parameter (not provider-data)
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# Use old header-based approach for Phase 1 (backward compatibility)
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provider_data = {
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"mcp_headers": {
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uri: {
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"Authorization": f"Bearer {AUTH_TOKEN}",
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},
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},
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}
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auth_headers = {
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"X-LlamaStack-Provider-Data": json.dumps(provider_data),
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}
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with pytest.raises(Exception, match="Unauthorized"):
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llama_stack_client.tools.list(toolgroup_id=test_toolgroup_id)
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tools_list = llama_stack_client.tools.list(
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toolgroup_id=test_toolgroup_id,
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authorization=AUTH_TOKEN, # Pass authorization as parameter
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extra_headers=auth_headers, # Use old header-based approach
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)
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assert len(tools_list) == 2
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assert {t.name for t in tools_list} == {"greet_everyone", "get_boiling_point"}
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@ -49,7 +62,7 @@ def test_mcp_invocation(llama_stack_client, text_model_id, mcp_server):
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response = llama_stack_client.tool_runtime.invoke_tool(
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tool_name="greet_everyone",
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kwargs=dict(url="https://www.google.com"),
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authorization=AUTH_TOKEN, # Pass authorization as parameter
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extra_headers=auth_headers, # Use old header-based approach
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)
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content = response.content
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assert len(content) == 1
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@ -4,11 +4,12 @@
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# This source code is licensed under the terms described in the LICENSE file in
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# the root directory of this source tree.
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"""
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Integration tests for MCP tools with complex JSON Schema support.
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"""Integration tests for MCP tools with complex JSON Schema support.
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Tests $ref, $defs, and other JSON Schema features through MCP integration.
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"""
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import json
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import pytest
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from llama_stack.core.library_client import LlamaStackAsLibraryClient
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@ -121,10 +122,22 @@ class TestMCPSchemaPreservation:
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mcp_endpoint=dict(uri=uri),
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)
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# Use old header-based approach for Phase 1 (backward compatibility)
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provider_data = {
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"mcp_headers": {
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uri: {
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"Authorization": f"Bearer {AUTH_TOKEN}",
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},
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},
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}
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auth_headers = {
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"X-LlamaStack-Provider-Data": json.dumps(provider_data),
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}
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# List runtime tools
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response = llama_stack_client.tool_runtime.list_tools(
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tool_group_id=test_toolgroup_id,
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authorization=AUTH_TOKEN,
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extra_headers=auth_headers,
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)
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tools = response
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@ -160,10 +173,22 @@ class TestMCPSchemaPreservation:
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mcp_endpoint=dict(uri=uri),
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)
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# Use old header-based approach for Phase 1 (backward compatibility)
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provider_data = {
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"mcp_headers": {
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uri: {
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"Authorization": f"Bearer {AUTH_TOKEN}",
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},
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},
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}
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auth_headers = {
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"X-LlamaStack-Provider-Data": json.dumps(provider_data),
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}
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# List tools
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response = llama_stack_client.tool_runtime.list_tools(
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tool_group_id=test_toolgroup_id,
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authorization=AUTH_TOKEN,
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extra_headers=auth_headers,
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)
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# Find book_flight tool (which should have $ref/$defs)
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@ -205,9 +230,21 @@ class TestMCPSchemaPreservation:
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mcp_endpoint=dict(uri=uri),
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)
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# Use old header-based approach for Phase 1 (backward compatibility)
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provider_data = {
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"mcp_headers": {
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uri: {
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"Authorization": f"Bearer {AUTH_TOKEN}",
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},
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},
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}
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auth_headers = {
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"X-LlamaStack-Provider-Data": json.dumps(provider_data),
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}
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response = llama_stack_client.tool_runtime.list_tools(
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tool_group_id=test_toolgroup_id,
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authorization=AUTH_TOKEN,
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extra_headers=auth_headers,
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)
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# Find get_weather tool
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@ -247,10 +284,22 @@ class TestMCPToolInvocation:
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mcp_endpoint=dict(uri=uri),
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)
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# Use old header-based approach for Phase 1 (backward compatibility)
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provider_data = {
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"mcp_headers": {
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uri: {
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"Authorization": f"Bearer {AUTH_TOKEN}",
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},
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},
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}
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auth_headers = {
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"X-LlamaStack-Provider-Data": json.dumps(provider_data),
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}
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# List tools to populate the tool index
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llama_stack_client.tool_runtime.list_tools(
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tool_group_id=test_toolgroup_id,
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authorization=AUTH_TOKEN,
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extra_headers=auth_headers,
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)
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# Invoke tool with complex nested data
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@ -262,7 +311,7 @@ class TestMCPToolInvocation:
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"shipping": {"address": {"street": "123 Main St", "city": "San Francisco", "zipcode": "94102"}},
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}
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},
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authorization=AUTH_TOKEN,
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extra_headers=auth_headers,
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)
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# Should succeed without schema validation errors
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@ -288,17 +337,29 @@ class TestMCPToolInvocation:
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mcp_endpoint=dict(uri=uri),
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)
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# Use old header-based approach for Phase 1 (backward compatibility)
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provider_data = {
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"mcp_headers": {
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uri: {
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"Authorization": f"Bearer {AUTH_TOKEN}",
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},
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},
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}
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auth_headers = {
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"X-LlamaStack-Provider-Data": json.dumps(provider_data),
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}
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# List tools to populate the tool index
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llama_stack_client.tool_runtime.list_tools(
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tool_group_id=test_toolgroup_id,
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authorization=AUTH_TOKEN,
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extra_headers=auth_headers,
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)
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# Test with email format
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result_email = llama_stack_client.tool_runtime.invoke_tool(
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tool_name="flexible_contact",
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kwargs={"contact_info": "user@example.com"},
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authorization=AUTH_TOKEN,
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extra_headers=auth_headers,
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)
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assert result_email.error_message is None
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@ -307,7 +368,7 @@ class TestMCPToolInvocation:
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result_phone = llama_stack_client.tool_runtime.invoke_tool(
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tool_name="flexible_contact",
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kwargs={"contact_info": "+15551234567"},
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authorization=AUTH_TOKEN,
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extra_headers=auth_headers,
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)
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assert result_phone.error_message is None
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@ -339,9 +400,21 @@ class TestAgentWithMCPTools:
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mcp_endpoint=dict(uri=uri),
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)
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# Use old header-based approach for Phase 1 (backward compatibility)
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provider_data = {
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"mcp_headers": {
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uri: {
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"Authorization": f"Bearer {AUTH_TOKEN}",
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},
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},
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}
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auth_headers = {
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"X-LlamaStack-Provider-Data": json.dumps(provider_data),
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}
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tools_list = llama_stack_client.tools.list(
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toolgroup_id=test_toolgroup_id,
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authorization=AUTH_TOKEN,
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extra_headers=auth_headers,
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)
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tool_defs = [
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{
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@ -350,6 +423,7 @@ class TestAgentWithMCPTools:
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"server_label": test_toolgroup_id,
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"require_approval": "never",
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"allowed_tools": [tool.name for tool in tools_list],
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"authorization": AUTH_TOKEN,
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}
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]
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@ -358,7 +432,6 @@ class TestAgentWithMCPTools:
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model=text_model_id,
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instructions="You are a helpful assistant that can process orders and book flights.",
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tools=tool_defs,
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authorization=AUTH_TOKEN,
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)
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session_id = agent.create_session("test-session-complex")
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@ -380,7 +453,6 @@ class TestAgentWithMCPTools:
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}
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],
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stream=True,
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authorization=AUTH_TOKEN,
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)
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)
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