deer-flow/backend/tests/test_tool_call_args.py
Nan Gao 3f0b6ecc81
feat(agents): elide blocked write payloads from model-bound requests (#5329)
* feat(agents): elide blocked write payloads from model-bound requests

A write_file / str_replace call rejected by the read-before-write gate never
runs, yet its payload (up to 80 KB for a non-append write, unbounded for
append) stayed verbatim in every later model request: nothing in the chain
rewrites AIMessage tool-call arguments, and ToolOutputBudgetMiddleware only
budgets ToolMessage output. The gate demands a re-read plus a fresh call, so
the model re-emits the content anyway and the original is pure dead weight.

- ReadBeforeWriteMiddleware stamps `deerflow_write_block` on the blocked
  ToolMessage and, in wrap_model_call, replaces the paired call's payload
  fields (content / old_str / new_str) with a short deterministic placeholder
  in the model-bound request only. state["messages"], receipts, loop
  detection, and the run journal keep the original arguments; nothing is
  externalized to disk, since a file reference to content the model must
  re-derive after reading the target would only invite bypassing the gate.
- New `tool_call_args` helper rewrites every provider surface together
  (structured tool_calls, raw additional_kwargs.tool_calls, tool_use content
  blocks, tool_call_chunks) so strict providers never see them disagree; the
  gate only supplies the policy (which calls, what placeholder).
- `read_before_write.elide_blocked_payloads` (default on) and
  `read_before_write.elide_min_chars` (default 2000) configure it; the
  runtime builder passes the config through and the middleware declares it
  via release_policy_parameters.

Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>

* docs(agents): condense middleware guide entry 11 to fit the guidance budget

The agent-guidance CI check failed: the effective AGENTS.md chain for
agents/middlewares was 99673 bytes against a 98304-byte hard limit. The
chain already sat at 98459 on main, so the ReadBeforeWrite entry could not
grow. Rewrite entry 11 so it states the same facts (gate, lock scope,
fail-open, authorization scope, blocked-payload elision, shared
tool_call_args helper) in 1229 bytes instead of 2640; the chain is now
98262 bytes.

Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>

* fix(config): bump config_version for the read_before_write elision keys

Review follow-ups on #5329:

- `read_before_write.elide_blocked_payloads` / `elide_min_chars` are new
  user-settable YAML keys, i.e. a config schema change, so bump
  `config_version` 40 -> 41 in config.example.yaml; without it an existing
  config.yaml gets no outdated-config warning and `make config-upgrade` has
  nothing to signal.
- Say in the `elide_min_chars` description (and the example comment) that the
  threshold and the placeholder's size figure are Python character counts,
  not tokens: the same value spans roughly 3-4x in real context cost between
  ASCII and CJK text.
- The builder wiring test now asserts only the wired `elide_min_chars` value
  instead of the whole `ReadBeforeWriteConfig` dump, so future knobs do not
  have to edit an unrelated test.

Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>

* chore(helm): bump chart config_version to 41

validate-chart's config_version drift check failed after config.example.yaml
moved to 41 in ef9ee267. Bare bump of the chart's embedded `config:` block
and the README example; the chart does not mirror the read_before_write
section, so no field changes are needed.

Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>

* fix(agents): rewrite Responses and v1 content-block arguments too

Review finding on #5329 (P2): the content rewriter only handled Anthropic
`tool_use` blocks. With `use_responses_api=true` and
`output_version='responses/v1'`, AIMessage.content carries `function_call`
blocks whose `arguments` still hold the full write payload, and
langchain_openai's Responses input builder emits that block instead of the
rewritten structured call whose `call_id` it already carries. Standard `v1`
`tool_call` blocks likewise keep `extras.arguments`, which the v1->Responses
translator prefers over the structured args. So the blocked payload was
still sent on every later Responses API request.

`tool_call_args` now rewrites every content dialect that carries its own
copy of the arguments: Anthropic `tool_use` (input, drop partial_json),
Responses `function_call` (arguments, matched by call_id, `fc_...` item id
and status preserved), and v1 `tool_call` / `tool_call_chunk` (args plus
`extras.arguments`). Tests assert against the real adapter serializers:
`_construct_responses_api_input` for responses/v1, v1, and v0 messages,
`_convert_message_to_dict` for chat completions, and Anthropic
`_format_messages` for native and v1 content, plus an end-to-end probe
through the gate's wrap_model_call.

* fix(agents): pair blocked writes per call occurrence and defeat Responses chaining

Two review findings on #5329:

- Tool-call ids may repeat across assistant turns (DanglingToolCallMiddleware
  pairs them with per-id queues). The gate matched blocked results against a
  history-wide id set, so a successful write sharing an id with a later (or
  earlier) blocked one also lost its payload and was labelled as blocked.
  `_blocked_call_occurrences` now pairs ToolMessages with call occurrences
  the same FIFO-per-id way and the selector keys on (message, call id).

- With `use_previous_response_id`, the OpenAI adapter sends only the messages
  after the last AIMessage carrying a `resp_` response id and lets the server
  rebuild the rest from its stored copy, which still holds the original
  arguments and cannot be edited; every later response chains back to it.
  `rewrite_messages_tool_call_args` now drops every `resp_` id from the
  model-bound copy whenever it rewrote anything, so the adapter replays the
  full rewritten history (the `use_previous_response_id=False` request
  shape). OpenAI bills chained input tokens as input either way, so replay
  costs no more; the state keeps its ids.

Tests cover success-before-block and block-before-success histories through
the Chat Completions serializer, and chaining through
`ChatOpenAI._get_request_payload` with `use_previous_response_id=True`:
unrewritten history chains and omits the call, rewritten history is replayed
with the placeholder and no `previous_response_id`.

---------

Co-authored-by: Claude Fable 5.1 <noreply@anthropic.com>
2026-09-11 19:05:48 +08:00

388 lines
19 KiB
Python

"""Tests for the shared model-bound tool-call argument rewriter (``tool_call_args``)."""
import json
from langchain_core.messages import AIMessage, AIMessageChunk, HumanMessage, ToolMessage
from deerflow.agents.middlewares.tool_call_args import rewrite_messages_tool_call_args, rewrite_tool_call_args
ARGS = {"path": "/mnt/user-data/outputs/report.md", "content": "x" * 50}
NEW_ARGS = {"path": "/mnt/user-data/outputs/report.md", "content": "[elided]"}
def _full_surface_message(call_id="call-1"):
"""An AIMessage carrying the same call on every surface a provider adapter may read."""
return AIMessage(
content=[
{"type": "text", "text": "writing"},
{"type": "tool_use", "id": call_id, "name": "write_file", "input": dict(ARGS), "partial_json": json.dumps(ARGS)},
],
tool_calls=[{"name": "write_file", "id": call_id, "args": dict(ARGS)}],
additional_kwargs={"tool_calls": [{"id": call_id, "type": "function", "function": {"name": "write_file", "arguments": json.dumps(ARGS)}}]},
)
class TestRewriteToolCallArgs:
def test_no_matching_id_returns_same_object(self):
message = _full_surface_message()
assert rewrite_tool_call_args(message, {"other": NEW_ARGS}) is message
assert rewrite_tool_call_args(message, {}) is message
def test_rewrites_every_surface_together(self):
message = _full_surface_message()
rewritten = rewrite_tool_call_args(message, {"call-1": NEW_ARGS})
assert rewritten is not message
assert rewritten.tool_calls[0]["args"] == NEW_ARGS
assert rewritten.tool_calls[0]["name"] == "write_file"
raw = rewritten.additional_kwargs["tool_calls"][0]
assert json.loads(raw["function"]["arguments"]) == NEW_ARGS
assert raw["function"]["name"] == "write_file"
assert rewritten.content[0] == {"type": "text", "text": "writing"}
assert rewritten.content[1] == {"type": "tool_use", "id": "call-1", "name": "write_file", "input": NEW_ARGS}
assert "x" * 50 not in json.dumps(rewritten.model_dump(), ensure_ascii=False)
def test_original_message_is_never_mutated(self):
message = _full_surface_message()
rewrite_tool_call_args(message, {"call-1": NEW_ARGS})
assert message.tool_calls[0]["args"] == ARGS
assert message.content[1]["input"] == ARGS
assert "partial_json" in message.content[1]
assert json.loads(message.additional_kwargs["tool_calls"][0]["function"]["arguments"]) == ARGS
def test_untouched_sibling_calls_keep_identity(self):
other = {"name": "bash", "id": "call-2", "args": {"command": "ls"}}
message = AIMessage(content="", tool_calls=[{"name": "write_file", "id": "call-1", "args": dict(ARGS)}, other])
rewritten = rewrite_tool_call_args(message, {"call-1": NEW_ARGS})
# AIMessage validation copies tool-call dicts at construction, so identity is against the message's own list.
assert rewritten.tool_calls[1] is message.tool_calls[1]
assert rewritten.tool_calls[1]["args"] == other["args"]
assert rewritten.tool_calls[0]["args"] == NEW_ARGS
def test_rewrites_chunk_surfaces(self):
chunk = AIMessageChunk(content="", tool_call_chunks=[{"name": "write_file", "args": json.dumps(ARGS), "id": "call-1", "index": 0}])
assert chunk.tool_calls[0]["args"] == ARGS
rewritten = rewrite_tool_call_args(chunk, {"call-1": NEW_ARGS})
assert rewritten.tool_calls[0]["args"] == NEW_ARGS
assert json.loads(rewritten.tool_call_chunks[0]["args"]) == NEW_ARGS
assert rewritten.tool_call_chunks[0]["index"] == 0
assert chunk.tool_call_chunks[0]["args"] == json.dumps(ARGS)
def test_flattened_raw_provider_variants(self):
message = AIMessage(
content="",
tool_calls=[{"name": "write_file", "id": "call-1", "args": dict(ARGS)}, {"name": "write_file", "id": "call-2", "args": dict(ARGS)}],
additional_kwargs={
"tool_calls": [
{"id": "call-1", "name": "write_file", "arguments": json.dumps(ARGS)},
{"id": "call-2", "name": "write_file", "args": dict(ARGS)},
{"id": "call-3", "name": "write_file"},
"not-a-dict",
]
},
)
rewritten = rewrite_tool_call_args(message, {"call-1": NEW_ARGS, "call-2": NEW_ARGS, "call-3": NEW_ARGS})
raw = rewritten.additional_kwargs["tool_calls"]
assert json.loads(raw[0]["arguments"]) == NEW_ARGS
assert raw[1]["args"] == NEW_ARGS
assert raw[2] is message.additional_kwargs["tool_calls"][2]
assert raw[3] == "not-a-dict"
def test_non_string_ids_never_match(self):
message = AIMessage(
content=[{"type": "tool_use", "id": ["list", "id"], "name": "write_file", "input": dict(ARGS)}],
tool_calls=[{"name": "write_file", "id": "call-1", "args": dict(ARGS)}],
additional_kwargs={"tool_calls": [{"id": {"dict": "id"}, "type": "function", "function": {"name": "write_file", "arguments": json.dumps(ARGS)}}]},
)
rewritten = rewrite_tool_call_args(message, {"call-1": NEW_ARGS})
assert rewritten.tool_calls[0]["args"] == NEW_ARGS
assert rewritten.content[0]["input"] == ARGS
assert json.loads(rewritten.additional_kwargs["tool_calls"][0]["function"]["arguments"]) == ARGS
def test_result_is_deterministic(self):
message = _full_surface_message()
first = rewrite_tool_call_args(message, {"call-1": NEW_ARGS})
second = rewrite_tool_call_args(message, {"call-1": NEW_ARGS})
assert first.model_dump() == second.model_dump()
class TestRewriteMessagesToolCallArgs:
def test_returns_none_when_nothing_replaced(self):
messages = [HumanMessage(content="go"), _full_surface_message(), ToolMessage(content="ok", tool_call_id="call-1", name="write_file")]
assert rewrite_messages_tool_call_args(messages, lambda _message, _tool_call: None) is None
assert rewrite_messages_tool_call_args([], lambda _message, _tool_call: NEW_ARGS) is None
def test_selector_sees_message_and_call_and_untouched_messages_keep_identity(self):
human = HumanMessage(content="go")
target = _full_surface_message("call-1")
other = AIMessage(content="", tool_calls=[{"name": "bash", "id": "call-2", "args": {"command": "ls"}}])
tool = ToolMessage(content="ok", tool_call_id="call-1", name="write_file")
seen = []
def replacement_for(message, tool_call):
seen.append((message, tool_call["id"]))
return NEW_ARGS if tool_call["name"] == "write_file" else None
rewritten = rewrite_messages_tool_call_args([human, target, other, tool], replacement_for)
assert seen == [(target, "call-1"), (other, "call-2")]
assert rewritten[0] is human
assert rewritten[1] is not target
assert rewritten[1].tool_calls[0]["args"] == NEW_ARGS
assert rewritten[2] is other
assert rewritten[3] is tool
assert target.tool_calls[0]["args"] == ARGS
def test_calls_without_a_string_id_are_not_offered(self):
message = AIMessage(content="", tool_calls=[{"name": "write_file", "id": None, "args": dict(ARGS)}])
offered = []
assert rewrite_messages_tool_call_args([message], lambda _m, tc: offered.append(tc) or NEW_ARGS) is None
assert offered == []
RESPONSES_V1_BLOCK = {"type": "function_call", "id": "fc_1", "call_id": "call-1", "name": "write_file", "arguments": json.dumps(ARGS), "status": "completed"}
V1_BLOCK = {"type": "tool_call", "id": "call-1", "name": "write_file", "args": dict(ARGS), "extras": {"item_id": "fc_1", "arguments": json.dumps(ARGS), "status": "completed"}}
V1_CHUNK_BLOCK = {"type": "tool_call_chunk", "id": "call-1", "name": "write_file", "args": json.dumps(ARGS), "index": 0, "extras": {"item_id": "fc_1"}}
def _responses_v1_message():
return AIMessage(content=[{"type": "text", "text": "writing"}, dict(RESPONSES_V1_BLOCK)], tool_calls=[{"name": "write_file", "id": "call-1", "args": dict(ARGS)}], response_metadata={"output_version": "responses/v1"})
def _v1_message():
return AIMessage(content=[{"type": "text", "text": "writing"}, {**V1_BLOCK, "extras": dict(V1_BLOCK["extras"])}], tool_calls=[{"name": "write_file", "id": "call-1", "args": dict(ARGS)}], response_metadata={"output_version": "v1"})
class TestContentBlockVariants:
"""Every content-block dialect that carries its own copy of the arguments is rewritten, ids preserved."""
def test_responses_function_call_block_matched_by_call_id_keeps_item_id(self):
message = _responses_v1_message()
rewritten = rewrite_tool_call_args(message, {"call-1": NEW_ARGS})
block = rewritten.content[1]
assert json.loads(block["arguments"]) == NEW_ARGS
assert block["id"] == "fc_1"
assert block["call_id"] == "call-1"
assert block["status"] == "completed"
assert rewritten.content[0] is message.content[0]
assert json.loads(message.content[1]["arguments"]) == ARGS
def test_responses_function_call_block_ignores_item_id_as_match_key(self):
message = _responses_v1_message()
assert rewrite_tool_call_args(message, {"fc_1": NEW_ARGS}) is message
def test_v1_tool_call_block_rewrites_args_and_extras_arguments(self):
message = _v1_message()
rewritten = rewrite_tool_call_args(message, {"call-1": NEW_ARGS})
block = rewritten.content[1]
assert block["args"] == NEW_ARGS
assert json.loads(block["extras"]["arguments"]) == NEW_ARGS
assert block["extras"]["item_id"] == "fc_1"
assert block["extras"]["status"] == "completed"
assert message.content[1]["args"] == ARGS
assert json.loads(message.content[1]["extras"]["arguments"]) == ARGS
def test_v1_tool_call_block_without_extras_arguments_gets_no_extras_entry(self):
block = {"type": "tool_call", "id": "call-1", "name": "write_file", "args": dict(ARGS), "extras": {"item_id": "fc_1"}}
message = AIMessage(content=[block], tool_calls=[{"name": "write_file", "id": "call-1", "args": dict(ARGS)}])
rewritten = rewrite_tool_call_args(message, {"call-1": NEW_ARGS})
assert rewritten.content[0]["args"] == NEW_ARGS
assert rewritten.content[0]["extras"] == {"item_id": "fc_1"}
def test_v1_tool_call_chunk_block_rewrites_serialized_args(self):
chunk = AIMessageChunk(content=[dict(V1_CHUNK_BLOCK)], tool_call_chunks=[{"name": "write_file", "args": json.dumps(ARGS), "id": "call-1", "index": 0}])
rewritten = rewrite_tool_call_args(chunk, {"call-1": NEW_ARGS})
assert json.loads(rewritten.content[0]["args"]) == NEW_ARGS
assert rewritten.content[0]["extras"] == {"item_id": "fc_1"}
assert rewritten.content[0]["index"] == 0
assert json.loads(rewritten.tool_call_chunks[0]["args"]) == NEW_ARGS
assert json.loads(chunk.content[0]["args"]) == ARGS
def test_unrelated_block_types_pass_through_by_identity(self):
reasoning = {"type": "reasoning", "id": "rs_1", "summary": []}
message = AIMessage(content=[reasoning, dict(RESPONSES_V1_BLOCK)], tool_calls=[{"name": "write_file", "id": "call-1", "args": dict(ARGS)}])
rewritten = rewrite_tool_call_args(message, {"call-1": NEW_ARGS})
assert rewritten.content[0] is message.content[0]
class TestProviderSerializers:
"""Lock the rewrite against the real adapter request builders: the payload must not reach the wire."""
PAYLOAD = ARGS["content"]
@staticmethod
def _responses_input(message):
from langchain_openai.chat_models.base import _construct_responses_api_input
return _construct_responses_api_input([message])
def _function_calls(self, message):
items = self._responses_input(message)
assert self.PAYLOAD not in json.dumps(items, ensure_ascii=False)
return [item for item in items if item.get("type") == "function_call"]
def test_responses_v1_content_sends_rewritten_arguments_once(self):
calls = self._function_calls(rewrite_tool_call_args(_responses_v1_message(), {"call-1": NEW_ARGS}))
assert len(calls) == 1
assert json.loads(calls[0]["arguments"]) == NEW_ARGS
assert calls[0]["call_id"] == "call-1"
assert calls[0]["id"] == "fc_1"
def test_v1_content_sends_rewritten_arguments_once(self):
calls = self._function_calls(rewrite_tool_call_args(_v1_message(), {"call-1": NEW_ARGS}))
assert len(calls) == 1
assert json.loads(calls[0]["arguments"]) == NEW_ARGS
assert calls[0]["call_id"] == "call-1"
assert calls[0]["id"] == "fc_1"
def test_v0_responses_message_sends_rewritten_arguments_with_item_id(self):
message = AIMessage(
content=[{"type": "text", "text": "writing"}],
tool_calls=[{"name": "write_file", "id": "call-1", "args": dict(ARGS)}],
additional_kwargs={"__openai_function_call_ids__": {"call-1": "fc_1"}},
)
calls = self._function_calls(rewrite_tool_call_args(message, {"call-1": NEW_ARGS}))
assert len(calls) == 1
assert json.loads(calls[0]["arguments"]) == NEW_ARGS
assert calls[0]["id"] == "fc_1"
def test_unrewritten_responses_message_still_carries_payload(self):
"""Sanity check that the probe can see the payload at all."""
items = self._responses_input(_responses_v1_message())
assert self.PAYLOAD in json.dumps(items, ensure_ascii=False)
def test_chat_completions_payload_uses_rewritten_arguments(self):
from langchain_openai.chat_models.base import _convert_message_to_dict
payload = _convert_message_to_dict(rewrite_tool_call_args(_full_surface_message(), {"call-1": NEW_ARGS}))
assert json.loads(payload["tool_calls"][0]["function"]["arguments"]) == NEW_ARGS
assert self.PAYLOAD not in json.dumps(payload, ensure_ascii=False)
def test_anthropic_native_tool_use_payload_uses_rewritten_input(self):
from langchain_anthropic.chat_models import _format_messages
_system, formatted = _format_messages([rewrite_tool_call_args(_full_surface_message(), {"call-1": NEW_ARGS})])
tool_use = [block for block in formatted[0]["content"] if block["type"] == "tool_use"]
assert len(tool_use) == 1
assert tool_use[0]["input"] == NEW_ARGS
assert self.PAYLOAD not in json.dumps(formatted, ensure_ascii=False)
def test_anthropic_v1_content_payload_uses_rewritten_input(self):
from langchain_anthropic._compat import _convert_from_v1_to_anthropic
from langchain_anthropic.chat_models import _format_messages
rewritten = rewrite_tool_call_args(_v1_message(), {"call-1": NEW_ARGS})
# Mirrors ChatAnthropic._get_request_payload's v1 translation step.
tcs = [{"type": "tool_call", "name": tc["name"], "args": tc["args"], "id": tc.get("id")} for tc in rewritten.tool_calls]
translated = rewritten.model_copy(update={"content": _convert_from_v1_to_anthropic(rewritten.content, tcs, "anthropic")})
_system, formatted = _format_messages([translated])
tool_use = [block for block in formatted[0]["content"] if block["type"] == "tool_use"]
assert len(tool_use) == 1
assert tool_use[0]["input"] == NEW_ARGS
assert self.PAYLOAD not in json.dumps(formatted, ensure_ascii=False)
class TestResponseChainInvalidation:
"""A rewritten history must be replayed, never chained to the original server-side copy."""
PAYLOAD = ARGS["content"]
@staticmethod
def _chained_history(rewritten_call=True):
first = AIMessage(content=[{"type": "text", "text": "earlier"}], response_metadata={"id": "resp_a", "model_name": "gpt-x"})
call = _responses_v1_message()
call = call.model_copy(update={"response_metadata": {**call.response_metadata, "id": "resp_b", "model_name": "gpt-x"}})
tool = ToolMessage(content="Error: blocked", tool_call_id="call-1", name="write_file", status="error")
later = AIMessage(content=[{"type": "text", "text": "later"}], response_metadata={"id": "resp_c"})
return [HumanMessage(content="go"), first, call, tool, later]
def test_rewrite_drops_resp_ids_from_every_ai_message(self):
messages = self._chained_history()
rewritten = rewrite_messages_tool_call_args(messages, lambda _m, tc: NEW_ARGS if tc["id"] == "call-1" else None)
assert [type(m) for m in rewritten] == [type(m) for m in messages]
for index in (1, 2, 4):
assert "id" not in rewritten[index].response_metadata
assert rewritten[index] is not messages[index]
assert rewritten[1].response_metadata == {"model_name": "gpt-x"}
assert rewritten[2].tool_calls[0]["args"] == NEW_ARGS
assert rewritten[0] is messages[0]
assert rewritten[3] is messages[3]
# Stored history keeps its chain ids and arguments.
assert messages[1].response_metadata["id"] == "resp_a"
assert messages[2].response_metadata["id"] == "resp_b"
assert messages[4].response_metadata["id"] == "resp_c"
assert messages[2].tool_calls[0]["args"] == ARGS
def test_non_resp_ids_are_left_alone(self):
anthropic_style = AIMessage(content="earlier", response_metadata={"id": "msg_01", "model": "claude"})
messages = [anthropic_style, _full_surface_message(), ToolMessage(content="ok", tool_call_id="call-1", name="write_file")]
rewritten = rewrite_messages_tool_call_args(messages, lambda _m, tc: NEW_ARGS)
assert rewritten[0] is anthropic_style
assert rewritten[0].response_metadata["id"] == "msg_01"
def test_no_rewrite_keeps_chain_ids(self):
messages = self._chained_history()
assert rewrite_messages_tool_call_args(messages, lambda _m, _tc: None) is None
assert messages[2].response_metadata["id"] == "resp_b"
@staticmethod
def _chained_model():
from langchain_openai import ChatOpenAI
return ChatOpenAI(model="gpt-4.1", api_key="test-key", use_responses_api=True, use_previous_response_id=True)
def test_unrewritten_history_chains_and_never_sends_the_call(self):
"""Documents the leak: with chaining on, the adapter sends only the tail after the last resp_ id."""
payload = self._chained_model()._get_request_payload(self._chained_history()[:4])
assert payload["previous_response_id"] == "resp_b"
assert [item["type"] for item in payload["input"]] == ["function_call_output"]
def test_rewritten_history_is_replayed_with_rewritten_arguments(self):
messages = self._chained_history()[:4]
rewritten = rewrite_messages_tool_call_args(messages, lambda _m, tc: NEW_ARGS if tc["id"] == "call-1" else None)
payload = self._chained_model()._get_request_payload(rewritten)
assert "previous_response_id" not in payload
calls = [item for item in payload["input"] if item.get("type") == "function_call"]
assert len(calls) == 1
assert json.loads(calls[0]["arguments"]) == NEW_ARGS
assert calls[0]["id"] == "fc_1"
assert any(item.get("type") == "function_call_output" for item in payload["input"])
assert self.PAYLOAD not in json.dumps(payload, ensure_ascii=False)