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feat: add support for require_approval argument when creating response

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Signed-off-by: Gordon Sim <gsim@redhat.com>
This commit is contained in:
Gordon Sim 2025-09-26 20:36:42 +01:00
parent 7c466a7ec5
commit 449177d316
11 changed files with 362 additions and 36 deletions
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31
llama_stack/apis/agents/openai_responses.py
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@ -276,13 +276,40 @@ class OpenAIResponseOutputMessageMCPListTools(BaseModel):
tools: list[MCPListToolsTool]
@json_schema_type
class OpenAIResponseMCPApprovalRequest(BaseModel):
"""
A request for human approval of a tool invocation.
"""
arguments: str
id: str
name: str
server_label: str
type: Literal["mcp_approval_request"] = "mcp_approval_request"
@json_schema_type
class OpenAIResponseMCPApprovalResponse(BaseModel):
"""
A response to an MCP approval request.
"""
approval_request_id: str
approve: bool
type: Literal["mcp_approval_response"] = "mcp_approval_response"
id: str | None = None
reason: str | None = None
OpenAIResponseOutput = Annotated[
OpenAIResponseMessage
| OpenAIResponseOutputMessageWebSearchToolCall
| OpenAIResponseOutputMessageFileSearchToolCall
| OpenAIResponseOutputMessageFunctionToolCall
| OpenAIResponseOutputMessageMCPCall
| OpenAIResponseOutputMessageMCPListTools,
| OpenAIResponseOutputMessageMCPListTools
| OpenAIResponseMCPApprovalRequest,
Field(discriminator="type"),
]
register_schema(OpenAIResponseOutput, name="OpenAIResponseOutput")
@ -725,6 +752,8 @@ OpenAIResponseInput = Annotated[
| OpenAIResponseOutputMessageFileSearchToolCall
| OpenAIResponseOutputMessageFunctionToolCall
| OpenAIResponseInputFunctionToolCallOutput
| OpenAIResponseMCPApprovalRequest
| OpenAIResponseMCPApprovalResponse
|
# Fallback to the generic message type as a last resort
OpenAIResponseMessage,