[Frontend] Support OpenAI Responses API namespace tools by zhongjing123 · Pull Request #47024 · vllm-project/vllm

zhongjing123 · 2026-06-29T09:31:25Z

Purpose

Namespace tools are expanded to an internal namespace__tool representation for prompting and parsing, but the Responses API should expose the original tool name expected by clients.

This PR introduces a consistent mapping between the external tool name and the internal namespace-qualified representation throughout the Responses pipeline. The mapping is applied when:

expanding namespace tools for prompt generation;
parsing model outputs;
restoring tool names in Responses API outputs;
processing streamed responses;
replaying previous function_call history;
handling Harmony prompt generation and parsing.

This ensures compatibility with clients (such as Codex) while preserving the existing internal representation.

Test Plan

Run the Responses unit tests:

pytest tests/entrypoints/openai/responses/ -q

The added regression tests cover:

namespace tool expansion;
restoring tool names in Responses API output;
reverse mapping for historical function_call inputs;
streaming Responses output;
Harmony streaming and non-streaming paths.

Test Result

Completed:

✅ python -m compileall passed.
✅ git diff --check passed.
✅ Added regression tests covering namespace tool mapping.

claude

Claude Code Review

This pull request is from a fork — automated review is disabled. A repository maintainer can comment @claude review to run a one-time review.

github-actions · 2026-06-29T10:01:51Z

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mergify · 2026-06-29T10:09:04Z

This pull request has merge conflicts that must be resolved before it can be
merged. Please rebase the PR, @zhongjing123.

https://docs.github.com/en/pull-requests/collaborating-with-pull-requests/working-with-forks/syncing-a-fork

chaunceyjiang

Please fix the DCO and resolve the merge conflicts.

chaunceyjiang

@zhongjing123, thanks for the PR.

I tested it locally with both Qwen3 and GLM-5.2. It works correctly with Qwen3, but GLM-5.2 is still not working as expected.

The test results are as follows:

Test Qwen3:

# vllm serve /mnt/data2/models/Qwen/Qwen3.5-35B-A3B   --reasoning-parser qwen3 --enable-auto-tool-choice  --tool-call-parser qwen3_coder --port 8000

(APIServer pid=2726521) INFO 06-30 12:08:59 [api_utils.py:339] 
(APIServer pid=2726521) INFO 06-30 12:08:59 [api_utils.py:339]        █     █     █▄   ▄█
(APIServer pid=2726521) INFO 06-30 12:08:59 [api_utils.py:339]  ▄▄ ▄█ █     █     █ ▀▄▀ █  version 0.23.1rc1.dev566+g064030efe.d20260630
(APIServer pid=2726521) INFO 06-30 12:08:59 [api_utils.py:339]   █▄█▀ █     █     █     █  model   /mnt/data2/models/Qwen/Qwen3.5-35B-A3B
(APIServer pid=2726521) INFO 06-30 12:08:59 [api_utils.py:339]    ▀▀  ▀▀▀▀▀ ▀▀▀▀▀ ▀     ▀
(APIServer pid=2726521) INFO 06-30 12:08:59 [api_utils.py:339]
...
....
...
(APIServer pid=2726521) INFO 06-30 12:10:56 [parser_manager.py:37] "auto" tool choice has been enabled.
(APIServer pid=2726521) WARNING 06-30 12:10:56 [model.py:1483] Default vLLM sampling parameters have been overridden by the model's `generation_config.json`: `{'temperature': 1.0, 'top_k': 20, 'top_p': 0.95}`. If this is not intended, please relaunch vLLM instance with `--generation-config vllm`.
(APIServer pid=2726521) INFO 06-30 12:10:56 [hf.py:548] Detected the chat template content format to be 'openai'. You can set `--chat-template-content-format` to override this.
(APIServer pid=2726521) INFO 06-30 12:11:08 [base.py:236] Multi-modal warmup completed in 11.357s
(APIServer pid=2726521) INFO 06-30 12:11:08 [base.py:236] Readonly multi-modal warmup completed in 0.637s
(APIServer pid=2726521) INFO 06-30 12:11:08 [api_server.py:610] Starting vLLM server on http://0.0.0.0:8000
(APIServer pid=2726521) INFO 06-30 12:11:08 [launcher.py:37] Available routes are:
(APIServer pid=2726521) INFO 06-30 12:11:08 [launcher.py:46] Route: /openapi.json, Methods: GET, HEAD
(APIServer pid=2726521) INFO 06-30 12:11:08 [launcher.py:46] Route: /docs, Methods: GET, HEAD
(APIServer pid=2726521) INFO 06-30 12:11:08 [launcher.py:46] Route: /docs/oauth2-redirect, Methods: GET, HEAD
(APIServer pid=2726521) INFO 06-30 12:11:08 [launcher.py:46] Route: /redoc, Methods: GET, HEAD
(APIServer pid=2726521) INFO 06-30 12:11:08 [launcher.py:46] Route: /load, Methods: GET
(APIServer pid=2726521) INFO 06-30 12:11:08 [launcher.py:46] Route: /version, Methods: GET
(APIServer pid=2726521) INFO 06-30 12:11:08 [launcher.py:46] Route: /health, Methods: GET
(APIServer pid=2726521) INFO 06-30 12:11:08 [launcher.py:46] Route: /metrics, Methods: GET
(APIServer pid=2726521) INFO 06-30 12:11:08 [launcher.py:46] Route: /tokenize, Methods: POST
(APIServer pid=2726521) INFO 06-30 12:11:08 [launcher.py:46] Route: /detokenize, Methods: POST
(APIServer pid=2726521) INFO 06-30 12:11:08 [launcher.py:46] Route: /v1/models, Methods: GET
(APIServer pid=2726521) INFO 06-30 12:11:08 [launcher.py:46] Route: /ping, Methods: GET
(APIServer pid=2726521) INFO 06-30 12:11:08 [launcher.py:46] Route: /ping, Methods: POST
(APIServer pid=2726521) INFO 06-30 12:11:08 [launcher.py:46] Route: /invocations, Methods: POST
(APIServer pid=2726521) INFO 06-30 12:11:08 [launcher.py:46] Route: /v1/chat/completions, Methods: POST
(APIServer pid=2726521) INFO 06-30 12:11:08 [launcher.py:46] Route: /v1/chat/completions/batch, Methods: POST
(APIServer pid=2726521) INFO 06-30 12:11:08 [launcher.py:46] Route: /v1/responses, Methods: POST
(APIServer pid=2726521) INFO 06-30 12:11:08 [launcher.py:46] Route: /v1/responses/{response_id}, Methods: GET
(APIServer pid=2726521) INFO 06-30 12:11:08 [launcher.py:46] Route: /v1/responses/{response_id}/cancel, Methods: POST
(APIServer pid=2726521) INFO 06-30 12:11:08 [launcher.py:46] Route: /v1/completions, Methods: POST
(APIServer pid=2726521) INFO 06-30 12:11:08 [launcher.py:46] Route: /v1/messages, Methods: POST
(APIServer pid=2726521) INFO 06-30 12:11:08 [launcher.py:46] Route: /v1/messages/count_tokens, Methods: POST
(APIServer pid=2726521) INFO 06-30 12:11:08 [launcher.py:46] Route: /generative_scoring, Methods: POST
(APIServer pid=2726521) INFO 06-30 12:11:08 [launcher.py:46] Route: /scale_elastic_ep, Methods: POST
(APIServer pid=2726521) INFO 06-30 12:11:08 [launcher.py:46] Route: /is_scaling_elastic_ep, Methods: POST
(APIServer pid=2726521) INFO 06-30 12:11:08 [launcher.py:46] Route: /v1/chat/completions/render, Methods: POST
(APIServer pid=2726521) INFO 06-30 12:11:08 [launcher.py:46] Route: /v1/completions/render, Methods: POST
(APIServer pid=2726521) INFO 06-30 12:11:08 [launcher.py:46] Route: /v1/chat/completions/derender, Methods: POST
(APIServer pid=2726521) INFO 06-30 12:11:08 [launcher.py:46] Route: /v1/completions/derender, Methods: POST
(APIServer pid=2726521) INFO 06-30 12:11:08 [launcher.py:46] Route: /inference/v1/generate, Methods: POST
(APIServer pid=2726521) INFO:     Started server process [2726521]
(APIServer pid=2726521) INFO:     Waiting for application startup.
(APIServer pid=2726521) INFO:     Application startup complete

client:

curl -sS http://localhost:8000/v1/responses \
    -H "Content-Type: application/json" \
    -H "Authorization: Bearer EMPTY" \
    -d '{
      "model": "",
      "input": "Use Computer Use to open Chrome, go to https://www.google.com, and search for \"vllm\".",
      "tools": [
        {
          "type": "namespace",
          "name": "mcp__computer_use",
          "description": "Computer control tools.",
          "tools": [
            {
              "type": "function",
              "name": "get_app_state",
              "description": "Get the current state of a desktop application.  for example Google Chrome.",
              "parameters": {
                "type": "object",
                "properties": {
                  "app": {
                    "type": "string",
                    "description": "Application name, for example Google Chrome."
                  }
                },
                "required": ["app"],
                "additionalProperties": false
              }
            }
          ]
        }
      ],
      "tool_choice": "auto"
    }'

client response:

{
  "id": "resp_b25caa0bc654f0fb",
  "created_at": 1782792687,
  "incomplete_details": null,
  "instructions": null,
  "metadata": null,
  "model": "/mnt/data2/models/Qwen/Qwen3.5-35B-A3B",
  "object": "response",
  "output": [
    {
      "id": "rs_a45ffed629d84281",
      "summary": [],
      "type": "reasoning",
      "content": [
        {
          "text": "The user wants me to use Computer Use to:\n1. Open Chrome\n2. Go to https://www.google.com\n3. Search for \"vllm\"\n\nI need to use the mcp__computer_use__get_app_state function to check the current state of Chrome. However, looking at the available function, it seems to be for getting the state of an application, not for controlling it (opening, navigating, etc.).\n\nLet me check what this function does - it says \"Get the current state of a desktop application. for example Google Chrome.\" This seems to be for checking status, not for controlling actions.\n\nActually, looking more carefully at the available tools, I only see this one function for getting app state, not for actually controlling the browser. This is unusual - typically Computer Use tools would have functions for opening apps, navigating, typing, clicking, etc.\n\nLet me proceed with what I have and get the current state of Chrome first to see what information is available.\n",
          "type": "reasoning_text"
        }
      ],
      "encrypted_content": null,
      "status": null
    },
    {
      "arguments": "{\"app\": \"Google Chrome\"}",
      "call_id": "chatcmpl-tool-b02e2831f486d13d",
      "name": "get_app_state",
      "type": "function_call",
      "id": "fc_90b28a5144841ad4",
      "namespace": "mcp__computer_use",
      "status": "completed"
    }
  ],
  "parallel_tool_calls": true,
  "temperature": 1.0,
  "tool_choice": "auto",
  "tools": [
    {
      "description": "Computer control tools.",
      "name": "mcp__computer_use",
      "tools": [
        {
          "name": "get_app_state",
          "type": "function",
          "defer_loading": null,
          "description": "Get the current state of a desktop application.  for example Google Chrome.",
          "parameters": {
            "type": "object",
            "properties": {
              "app": {
                "type": "string",
                "description": "Application name, for example Google Chrome."
              }
            },
            "required": [
              "app"
            ],
            "additionalProperties": false
          },
          "strict": null
        }
      ],
      "type": "namespace"
    }
  ],
  "top_p": 0.95,
  "background": false,
  "max_output_tokens": 261804,
  "max_tool_calls": null,
  "previous_response_id": null,
  "prompt": null,
  "reasoning": null,
  "service_tier": "auto",
  "status": "completed",
  "text": null,
  "top_logprobs": null,
  "truncation": "disabled",
  "usage": {
    "input_tokens": 340,
    "input_tokens_details": {
      "cached_tokens": 0,
      "input_tokens_per_turn": [],
      "cached_tokens_per_turn": []
    },
    "output_tokens": 241,
    "output_tokens_details": {
      "reasoning_tokens": 0,
      "tool_output_tokens": 0,
      "output_tokens_per_turn": [],
      "tool_output_tokens_per_turn": []
    },
    "total_tokens": 581
  },
  "user": null,
  "presence_penalty": 0.0,
  "frequency_penalty": 0.0,
  "kv_transfer_params": null,
  "input_messages": null,
  "output_messages": null
}

Test GLM5.2

vllm serve /mnt/data2/models/zai-org/GLM-5.2-FP8 -tp 8 --tool-call-parser glm47 --reasoning-parser glm45  --enable-auto-tool-choice  --chat-template-content-format=string --speculative_config '{"method": "mtp", "num_speculative_tokens": 3}' --served-model-name zai-org/GLM-5.2-FP8 --max-model-len 272640

client response:

{
  "id": "resp_905b7e31411253a1",
  "created_at": 1782790793,
  "incomplete_details": null,
  "instructions": null,
  "metadata": null,
  "model": "zai-org/GLM-5.2-FP8",
  "object": "response",
  "output": [
    {
      "id": "rs_aa71b5f5df31abaa",
      "summary": [],
      "type": "reasoning",
      "content": [
        {
          "text": "The user wants me to use Computer Use to open Chrome, navigate to Google, and search for \"vllm\". Let me start by checking the current state of Chrome.",
          "type": "reasoning_text"
        }
      ],
      "encrypted_content": null,
      "status": null
    },
    {
      "id": "msg_8855550bf92e3917",
      "content": [
        {
          "annotations": [],
          "text": "I'll help you open Chrome, go to Google, and search for \"vllm\". Let me start by checking the current state of Google Chrome.<tool_call>mcp__computer_use__get_app_state<arg_key>app</arg_key><arg_value>Google Chrome</arg_value></tool_call>",
          "type": "output_text",
          "logprobs": null
        }
      ],
      "role": "assistant",
      "status": "completed",
      "type": "message",
      "phase": null
    }
  ],
  "parallel_tool_calls": true,
  "temperature": 1.0,
  "tool_choice": "auto",
  "tools": [
    {
      "description": "Computer control tools.",
      "name": "mcp__computer_use",
      "tools": [
        {
          "name": "get_app_state",
          "type": "function",
          "defer_loading": null,
          "description": "Get the current state of a desktop application.  for example Google Chrome.",
          "parameters": {
            "type": "object",
            "properties": {
              "app": {
                "type": "string",
                "description": "Application name, for example Google Chrome."
              }
            },
            "required": [
              "app"
            ],
            "additionalProperties": false
          },
          "strict": null
        }
      ],
      "type": "namespace"
    }
  ],
  "top_p": 0.95,
  "background": false,
  "max_output_tokens": 272424,
  "max_tool_calls": null,
  "previous_response_id": null,
  "prompt": null,
  "reasoning": null,
  "service_tier": "auto",
  "status": "completed",
  "text": null,
  "top_logprobs": null,
  "truncation": "disabled",
  "usage": {
    "input_tokens": 216,
    "input_tokens_details": {
      "cached_tokens": 0,
      "input_tokens_per_turn": [],
      "cached_tokens_per_turn": []
    },
    "output_tokens": 86,
    "output_tokens_details": {
      "reasoning_tokens": 0,
      "tool_output_tokens": 0,
      "output_tokens_per_turn": [],
      "tool_output_tokens_per_turn": []
    },
    "total_tokens": 302
  },
  "user": null,
  "presence_penalty": 0.0,
  "frequency_penalty": 0.0,
  "kv_transfer_params": null,
  "input_messages": null,
  "output_messages": null
}

The reason is that find_tool_properties and find_tool_name in vllm/tool_parsers/utils.py do not search for tools nested inside a namespace. You'll need to update them accordingly to support namespace tools as well.

chaunceyjiang · 2026-06-30T04:07:51Z

@@ -39,12 +39,89 @@

 logger = init_logger(__name__)

+_NAMESPACE_TOOL_NAME_SEPARATOR = "__"


I think the changes in this file should be moved to vllm/tool_parsers/utils.py.

In addition, find_tool_properties and find_tool_name in vllm/tool_parsers/utils.py need to support namespace tools.

I think these two functions can be updated as follows:

In find_tool_name(), detect when tool.type == "namespace" and recursively inspect the nested functions.

Construct the internal function name using the existing Responses convention: {namespace}__{nested_tool_name}.

find_tool_properties() should also support this internal name and return the nested function's parameters.properties.

It would be good to add a regression test as well: use a Responses namespace tool with the GLM-4.7 parser, and have the model output <tool_call>mcp__computer_use__get_app_state.... Assert that it produces:
FunctionCall(name="mcp__computer_use__get_app_state", arguments='{"app":"Google Chrome"}')
and then verify that build_response_output_items() maps it back to:
name="get_app_state" and namespace="mcp__computer_use".

mergify · 2026-06-30T08:46:32Z

Hi @zhongjing123, the pre-commit checks have failed. Please run:

uv pip install pre-commit>=4.5.1
pre-commit install
pre-commit run --all-files

Then, commit the changes and push to your branch.

For future commits, pre-commit will run automatically on changed files before each commit.

mergify · 2026-06-30T10:01:08Z

Hi @zhongjing123, the pre-commit checks have failed. Please run:

uv pip install pre-commit>=4.5.1
pre-commit install
pre-commit run --all-files

Then, commit the changes and push to your branch.

For future commits, pre-commit will run automatically on changed files before each commit.

mergify · 2026-06-30T23:58:47Z

This pull request has merge conflicts that must be resolved before it can be
merged. Please rebase the PR, @zhongjing123.

https://docs.github.com/en/pull-requests/collaborating-with-pull-requests/working-with-forks/syncing-a-fork

mergify · 2026-07-01T15:42:28Z

Hi @zhongjing123, the pre-commit checks have failed. Please run:

uv pip install pre-commit>=4.5.1
pre-commit install
pre-commit run --all-files

Then, commit the changes and push to your branch.

For future commits, pre-commit will run automatically on changed files before each commit.

chaunceyjiang

Thanks!

I tested this locally with Qwen3.5 and GLM-5.2, and both are working correctly.

Could you add a corresponding E2E test in tests/entrypoints/openai/responses/test_function_call.py? You can submit a new PR to do this.

chaunceyjiang · 2026-07-02T03:54:39Z

Suggested change

if isinstance(item, ResponseFunctionToolCall):

tool_name = item.name

if item.namespace:

tool_name = flat_namespace_tool_name(item.namespace, item.name)

tool_call = ChatCompletionMessageToolCallParam(

id=item.call_id,

function=FunctionCallTool(

name=tool_name,

arguments=item.arguments,

),

type="function",

)

chaunceyjiang · 2026-07-02T07:05:43Z

+    ]
+
+
+def iter_response_function_tool_dicts(


diff --git a/vllm/tool_parsers/utils.py b/vllm/tool_parsers/utils.py index 9752baf6f..95769bafd 100644 --- a/vllm/tool_parsers/utils.py +++ b/vllm/tool_parsers/utils.py @@ -205,9 +205,7 @@ def iter_response_function_tool_dicts( ) -> list[dict[str, Any]]: function_tools: list[dict[str, Any]] = [] for tool in tools: - if isinstance(tool, FunctionTool): - function_tools.append(tool.model_dump()) - elif isinstance(tool, NamespaceTool): + if isinstance(tool, NamespaceTool): namespace = tool.name for namespaced_tool in tool.tools: if namespaced_tool.type != "function": @@ -217,6 +215,8 @@ def iter_response_function_tool_dicts( namespace, namespaced_tool.name ) function_tools.append(tool_dict) + else: + function_tools.append(tool.model_dump()) return function_tool

Signed-off-by: zhongjing123 <jimzhong5193@gmail.com>

chaunceyjiang

LGTM

zhongjing123 requested review from AndreasKaratzas, DarkLight1337, NickLucche, aarnphm, chaunceyjiang, robertgshaw2-redhat and russellb as code owners June 29, 2026 09:31

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mergify Bot added frontend gpt-oss Related to GPT-OSS models labels Jun 29, 2026

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github-project-automation Bot moved this to To Triage in gpt-oss Issues & Enhancements Jun 29, 2026

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zhongjing123 force-pushed the fix/46737-codex-namespace branch 2 times, most recently from df432ee to a75d108 Compare June 29, 2026 14:12

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zhongjing123 requested review from bigPYJ1151, hmellor, jikunshang and xuechendi as code owners June 30, 2026 09:25

zhongjing123 force-pushed the fix/46737-codex-namespace branch from 1cdc63a to a5118a2 Compare June 30, 2026 09:35

chaunceyjiang removed documentation Improvements or additions to documentation intel-gpu Related to Intel GPU ci/build v1 multi-modality Related to multi-modality (#4194) deepseek Related to DeepSeek models labels Jun 30, 2026

chaunceyjiang approved these changes Jul 2, 2026

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VectorPeak mentioned this pull request Jul 3, 2026

[Bugfix][Frontend] Reuse function call IDs for Responses API built-in tool outputs #47537

Closed

zhongjing123 added 4 commits July 6, 2026 12:23

fix(responses): preserve namespace tool names for Codex

412ab7f

Signed-off-by: zhongjing123 <jimzhong5193@gmail.com>

fix(responses): preserve namespace tool names for Codex

cf8a0ab

Signed-off-by: zhongjing123 <jimzhong5193@gmail.com>

fix(responses): preserve namespace tool names for Codex

3ca363a

Signed-off-by: zhongjing123 <jimzhong5193@gmail.com>

fix(responses): preserve namespace tool names for Codex

5b41864

Signed-off-by: zhongjing123 <jimzhong5193@gmail.com>

chaunceyjiang approved these changes Jul 6, 2026

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cjackal mentioned this pull request Jul 19, 2026

[Bug]: Latest vllm is incompatible with openai<2.25.0 #49103

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hmoghani mentioned this pull request Jul 22, 2026

[Bug]: Harmony models reject namespace tool type in Responses API #49493

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rajfirke mentioned this pull request Jul 23, 2026

[Bugfix][Frontend] Support namespace tools for harmony/gpt-oss models in Responses API #49581

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coderabbitai Bot mentioned this pull request Jul 23, 2026

feat(codex): add Codex CLI container image for RHOAI red-hat-data-services/agentic-starter-kits#251

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mansourthr mentioned this pull request Jul 23, 2026

[Bugfix] Harmony: support namespace tool type in get_developer_message #49633

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4 tasks

rebel-daekyeong mentioned this pull request Sep 14, 2026

fix(deps): require openai>=2.25.0 alongside vllm==0.26.0+cpu RBLN-SW/vllm-rbln#1107

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BugenZhao mentioned this pull request Oct 6, 2026

[Rust Frontend] Pass tool defer_loading through to chat templates #60203

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richard-for-bugen Bot mentioned this pull request Nov 3, 2026

[Rust Frontend] Python parity run 2026-11-03 (fields) BugenZhao/vllm#111

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coffeerunhobby mentioned this pull request Nov 4, 2026

feat(openresponses): accept namespace tools mudler/LocalAI#13098

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richard-for-bugen Bot mentioned this pull request Nov 4, 2026

[Rust Frontend] Support namespace tools in the Responses API BugenZhao/vllm#122

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BugenZhao mentioned this pull request Nov 5, 2026

[Rust Frontend] Support namespace tools in the Responses API #65853

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		@@ -39,12 +39,89 @@

		logger = init_logger(__name__)

		_NAMESPACE_TOOL_NAME_SEPARATOR = "__"

+    if isinstance(item, ResponseFunctionToolCall):
+        tool_name = item.name
+        if item.namespace:
+            tool_name = flat_namespace_tool_name(item.namespace, item.name)
+        tool_call = ChatCompletionMessageToolCallParam(
+            id=item.call_id,
+            function=FunctionCallTool(
+                name=tool_name,
+                arguments=item.arguments,
+            ),
+            type="function",
+        )

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