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* fix(llm): cap the tool calls one assistant response may queue * fix(llm): cap the subscription backend's responses too --------- Co-authored-by: Ahmed Allam <ahmed39652003@gmail.com>
250 lines
8.9 KiB
Python
250 lines
8.9 KiB
Python
"""Tests for tool-call id uniqueness.
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Providers that number tool calls per turn (``exec_command:0``, ``:1``, ...)
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restart the counter on every turn, so the same id eventually appears twice in
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one conversation. Strict providers then reject the whole request, and because
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the history is replayed on every retry the agent can never recover. A gateway
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that validates id uniqueness the way those providers do proves both the
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failure and the fix.
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"""
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from __future__ import annotations
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import json
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import threading
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from http.server import BaseHTTPRequestHandler, HTTPServer
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from typing import TYPE_CHECKING, Any
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import pytest
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from agents import Agent, Runner, function_tool
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from agents.models.interface import Model, ModelProvider
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from agents.models.openai_chatcompletions import OpenAIChatCompletionsModel
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from agents.run import RunConfig
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from openai import AsyncOpenAI
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from openai.types.responses import ResponseFunctionToolCall
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from strix.config.models import _NonStreamingModel, _TurnGuardModel
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from strix.config.tool_call_ids import TurnCallIdRewriter, dedupe_history_call_ids
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if TYPE_CHECKING:
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from collections.abc import Iterator
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def _tool_call_completion(call_id: str, n: int = 1) -> dict[str, Any]:
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return {
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"id": "chatcmpl-1",
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"object": "chat.completion",
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"created": 0,
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"model": "gw-model",
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"choices": [
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{
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"index": 0,
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"finish_reason": "tool_calls",
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"message": {
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"role": "assistant",
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"content": None,
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"tool_calls": [
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{
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"id": call_id,
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"type": "function",
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"function": {"name": "do_thing", "arguments": json.dumps({"n": n})},
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}
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],
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},
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}
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],
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"usage": {"prompt_tokens": 5, "completion_tokens": 2, "total_tokens": 7},
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}
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def _text_completion(text: str) -> dict[str, Any]:
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return {
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"id": "chatcmpl-2",
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"object": "chat.completion",
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"created": 0,
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"model": "gw-model",
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"choices": [
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{"index": 0, "finish_reason": "stop", "message": {"role": "assistant", "content": text}}
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],
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"usage": {"prompt_tokens": 5, "completion_tokens": 3, "total_tokens": 8},
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}
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_REQUESTS: list[list[dict[str, Any]]] = []
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def _assistant_call_ids(messages: list[dict[str, Any]]) -> list[str]:
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return [str(call.get("id")) for message in messages for call in message.get("tool_calls") or []]
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def _tool_results(messages: list[dict[str, Any]]) -> list[str]:
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return [str(m.get("content")) for m in messages if m.get("role") == "tool"]
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class _StrictHandler(BaseHTTPRequestHandler):
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"""Gateway that rejects a history reusing a tool-call id, like strict providers do."""
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def log_message(self, *args: Any) -> None:
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pass
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def do_POST(self) -> None:
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length = int(self.headers.get("Content-Length", 0))
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body = json.loads(self.rfile.read(length) or b"{}")
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messages = body.get("messages", [])
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_REQUESTS.append(messages)
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call_ids = _assistant_call_ids(messages)
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if len(call_ids) != len(set(call_ids)):
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self._respond(
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400,
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{
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"error": {
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"message": (
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"tool messages need a resolvable tool name: carry `tool`/`name`, "
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"or match a preceding assistant tool_call by order"
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)
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}
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},
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)
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return
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turn = len(_REQUESTS)
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if turn <= 2:
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# The provider restarts its per-turn counter, so both turns say ":0".
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self._respond(200, _tool_call_completion("exec_command:0", n=turn))
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else:
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self._respond(200, _text_completion("all done"))
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def _respond(self, status: int, payload: dict[str, Any]) -> None:
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encoded = json.dumps(payload).encode()
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self.send_response(status)
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self.send_header("Content-Type", "application/json")
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self.send_header("Content-Length", str(len(encoded)))
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self.end_headers()
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self.wfile.write(encoded)
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@pytest.fixture
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def strict_gateway() -> Iterator[str]:
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_REQUESTS.clear()
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server = HTTPServer(("127.0.0.1", 0), _StrictHandler)
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thread = threading.Thread(target=server.serve_forever, daemon=True)
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thread.start()
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try:
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yield f"http://127.0.0.1:{server.server_address[1]}/v1"
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finally:
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server.shutdown()
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server.server_close()
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def _model(base_url: str) -> Model:
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# The gateway answers plain JSON, so the run loop's streamed turns are
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# served non-streamed; the ids on the wire are the same either way.
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client = AsyncOpenAI(api_key="tok", base_url=base_url, max_retries=0)
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return _NonStreamingModel(OpenAIChatCompletionsModel(model="gw-model", openai_client=client))
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async def _run_agent(base_url: str, *, wrap: bool) -> Any:
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@function_tool
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def do_thing(n: int) -> str:
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return f"did {n}"
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class _Provider(ModelProvider):
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def get_model(self, model_name: str | None) -> Model: # noqa: ARG002
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model = _model(base_url)
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return _TurnGuardModel(model) if wrap else model
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agent = Agent(name="t", instructions="use the tool", tools=[do_thing], model="gw-model")
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result = Runner.run_streamed(
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agent, input="please", run_config=RunConfig(model_provider=_Provider())
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)
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async for _ in result.stream_events():
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pass
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return result
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@pytest.mark.asyncio
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async def test_recycled_call_id_erases_a_turn_without_the_wrapper(strict_gateway: str) -> None:
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# Repro: two turns run a tool and both are labelled ``exec_command:0``, so
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# the colliding call and its result are dropped as duplicates. The agent
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# ends the run having silently lost a turn of its own work — and a provider
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# that does not drop them instead rejects the malformed history outright.
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result = await _run_agent(strict_gateway, wrap=False)
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assert result.final_output == "all done"
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assert _assistant_call_ids(_REQUESTS[-1]) == ["exec_command:0"]
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assert _tool_results(_REQUESTS[-1]) == ["did 2"]
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@pytest.mark.asyncio
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async def test_recycled_call_id_is_rewritten_so_no_turn_is_lost(strict_gateway: str) -> None:
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result = await _run_agent(strict_gateway, wrap=True)
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assert result.final_output == "all done"
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call_ids = _assistant_call_ids(_REQUESTS[-1])
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assert len(call_ids) == len(set(call_ids)) == 2
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assert call_ids[0] == "exec_command:0"
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assert call_ids[1].startswith("call_")
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assert _tool_results(_REQUESTS[-1]) == ["did 1", "did 2"]
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def test_history_dedupe_keeps_outputs_paired_with_their_call() -> None:
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items = [
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{"type": "function_call", "call_id": "exec_command:0", "name": "a", "arguments": "{}"},
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{"type": "function_call_output", "call_id": "exec_command:0", "output": "first"},
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{"type": "function_call", "call_id": "exec_command:0", "name": "b", "arguments": "{}"},
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{"type": "function_call_output", "call_id": "exec_command:0", "output": "second"},
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]
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rebuilt, changed = dedupe_history_call_ids(items)
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assert changed
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ids = [item["call_id"] for item in rebuilt]
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assert ids[0] == ids[1] == "exec_command:0"
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assert ids[2] == ids[3] != "exec_command:0"
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assert rebuilt[3]["output"] == "second"
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def test_history_dedupe_pairs_parallel_calls_by_order() -> None:
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items = [
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{"type": "function_call", "call_id": "dup", "name": "a", "arguments": "{}"},
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{"type": "function_call", "call_id": "dup", "name": "b", "arguments": "{}"},
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{"type": "function_call_output", "call_id": "dup", "output": "for-a"},
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{"type": "function_call_output", "call_id": "dup", "output": "for-b"},
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]
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rebuilt, changed = dedupe_history_call_ids(items)
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assert changed
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assert rebuilt[0]["call_id"] == rebuilt[2]["call_id"] == "dup"
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assert rebuilt[1]["call_id"] == rebuilt[3]["call_id"]
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assert rebuilt[1]["call_id"] != "dup"
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def test_history_dedupe_leaves_unique_ids_alone() -> None:
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items = [
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{"type": "function_call", "call_id": "call_a", "name": "a", "arguments": "{}"},
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{"type": "function_call_output", "call_id": "call_a", "output": "x"},
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{"type": "function_call", "call_id": "call_b", "name": "b", "arguments": "{}"},
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]
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rebuilt, changed = dedupe_history_call_ids(items)
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assert not changed
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assert rebuilt == items
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def test_turn_rewriter_is_stable_across_repeated_sightings() -> None:
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history = [{"type": "function_call", "call_id": "exec_command:0", "name": "a"}]
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rewriter = TurnCallIdRewriter(history)
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call = ResponseFunctionToolCall(
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call_id="exec_command:0", name="a", arguments="{}", type="function_call"
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)
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first = rewriter.rewrite_item(call)
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second = rewriter.rewrite_item(first)
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assert first.call_id != "exec_command:0"
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assert second.call_id == first.call_id
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