wehub-resource-sync
97 lines
2.4 KiB
Python
97 lines
2.4 KiB
Python
from __future__ import annotations
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from typing import Any
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from openai.types.responses import (
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ResponseFunctionToolCall,
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ResponseOutputItem,
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ResponseOutputMessage,
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ResponseOutputRefusal,
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ResponseOutputText,
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)
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from agents import (
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Agent,
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FunctionTool,
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Handoff,
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TResponseInputItem,
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default_tool_error_function,
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function_tool,
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)
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def get_text_input_item(content: str) -> TResponseInputItem:
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return {
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"content": content,
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"role": "user",
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}
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def get_text_message(content: str) -> ResponseOutputItem:
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return ResponseOutputMessage(
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id="1",
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type="message",
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role="assistant",
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content=[ResponseOutputText(text=content, type="output_text", annotations=[], logprobs=[])],
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status="completed",
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)
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def get_refusal_message(refusal: str) -> ResponseOutputItem:
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return ResponseOutputMessage(
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id="1",
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type="message",
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role="assistant",
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content=[ResponseOutputRefusal(refusal=refusal, type="refusal")],
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status="completed",
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)
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def get_function_tool(
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name: str | None = None, return_value: str | None = None, hide_errors: bool = False
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) -> FunctionTool:
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def _foo() -> str:
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return return_value or "result_ok"
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return function_tool(
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_foo,
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name_override=name,
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failure_error_function=None if hide_errors else default_tool_error_function,
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)
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def get_function_tool_call(
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name: str,
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arguments: str | None = None,
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call_id: str | None = None,
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*,
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namespace: str | None = None,
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) -> ResponseOutputItem:
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kwargs: dict[str, Any] = {
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"id": "1",
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"call_id": call_id or "2",
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"type": "function_call",
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"name": name,
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"arguments": arguments or "",
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}
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if namespace is not None:
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kwargs["namespace"] = namespace
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return ResponseFunctionToolCall(**kwargs)
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def get_handoff_tool_call(
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to_agent: Agent[Any], override_name: str | None = None, args: str | None = None
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) -> ResponseOutputItem:
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name = override_name or Handoff.default_tool_name(to_agent)
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return get_function_tool_call(name, args)
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def get_final_output_message(args: str) -> ResponseOutputItem:
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return ResponseOutputMessage(
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id="1",
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type="message",
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role="assistant",
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content=[ResponseOutputText(text=args, type="output_text", annotations=[], logprobs=[])],
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status="completed",
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)
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