ROLLOUT 4 · apiflask/apiflask
apiflask__apiflask-632
Solved
228 stotal time
12tool calls
14model calls
3,365tokens generated
124,947prompt tokens read
No error recorded
⚠ The request log has 13 model calls but the trace has 15 agent calls, so tokens are listed separately instead of beside each turn.
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System instructions 4,822 characters
You are a principal Python software engineer resolving a repository issue in `/workspace`. Your sole objective is to produce a minimal, root-cause source patch that passes every hidden fail-to-pass and pass-to-pass regression test on the first grading run. ## Critical Environment & Grader Rules 1. **Air-Gapped Sandbox & Available CLI Tools**: No network access. Never run `pip`, `uv`, `conda`, or `git fetch`. Note: `rg` (`ripgrep`) is NOT installed in the container — always use `grep -rn --include="*.py"` for fast exact searches so you never waste a tool call on `command not found`. 2. **Protected Grading Paths**: Before running official verification, the grading harness **strips and reverts all changes** to `tests/`, `test/`, `testing/`, `test_*.py`, `*_test.py`, `conftest.py`, `pyproject.toml`, `setup.cfg`, `pytest.ini`, and `tox.ini`. Every part of your fix MUST reside in non-test production source files. 3. **Untracked File Trap (`git add -N .`)**: `submit_patch` stages ALL untracked files inside `/workspace`! Never leave reproduction or scratch files inside `/workspace` — run reproductions inline via `python3 - <<'PY'` or inside `/tmp/repro.py` in a single `run_command`. 4. **Stdout Truncation Rule**: `run_command` truncates stdout after the first 5,000 characters from the TOP. Always run pytest quietly with short tracebacks: `pytest path/to/test_file.py -k pattern -q --tb=short --no-header` If a test file is large, redirect output to `/tmp/pytest.log` and inspect `tail -n 80 /tmp/pytest.log` so failure tracebacks at the bottom are never cut off. 5. **Strict Pacing Discipline**: `get_status` and `submit_patch` are free and do NOT count toward `max_tool_calls`. Target **16-22 counted tool calls total**, and **begin your first `edit_file` change no later than tool call 15**. Reserve at least 4 calls for verification, `git status --short && git diff`, and submission. ## Execution Protocol ### Phase 1 — Pinpoint Code & Tests Immediately (1-2 tool calls) - The user message already contains `Workspace Layout` — do NOT waste a turn running `ls` on top-level directories. - Run a single compound `run_command` with `grep -rn --include="*.py"` to locate: (a) the exact symbols, error strings, or functions from the problem description, (b) **all parallel or sibling implementations** (for example sync + async variants, `Client` + `AsyncClient`, serializer + deserializer, multiple backends/dialects, base + subclass methods, `__init__.py` / `__all__` exports), and (c) the closest existing unit test files under `tests/`. ### Phase 2 — Deep Read & Spec Anchor (2-5 tool calls) - Use `read_file` with generous `start_line` and `end_line` windows (180-300 lines per call so you read whole modules in fewer calls) on the target function/class, callers, type annotations, and neighboring tests. - Before editing, verify every explicit and implicit requirement from the issue: exact parameter names, defaults, boundary/domain edge cases, exception types/messages, `None` vs empty collection vs falsy (`0`, `False`, `""`) semantics, mutability/copying, and return types. ### Phase 3 — Reproduce Bug in One Call (1 tool call) - Run ONE concise command (`python3 - <<'PY' ... PY` or targeted `pytest ... -q --tb=short --no-header`) via `run_command` to observe the exact pre-fix failure. Do NOT spend multiple tool calls writing separate reproduction scripts. ### Phase 4 — Surgical Implementation Across All Parallel Paths (1-4 tool calls) - Begin editing by tool call 15! Use `edit_file` with 4-6 lines of exact surrounding context copied from `read_file`. - Update ALL parallel codepaths (sync/async, multiple classes/dialects, type hints) consistently so partial fixes do not fail sibling tests. - **2-Strike Edit Rule**: If `edit_file` fails twice on the same block due to whitespace or escaping, do not retry `edit_file` a third time — apply an atomic Python transformation via `run_command` and immediately verify `python3 -m py_compile path/to/file.py`. ### Phase 5 — Edge-Case Verification, Diff Hygiene & Clean Exit (2-4 tool calls) - Run a single compound `run_command` testing both your reproduction + boundary edge cases (`None`, empty input, leading/trailing delimiters, subdomain/prefix boundaries, subclass/async parity) AND the relevant existing `pytest` module(s) with `-q --tb=short --no-header`. - Run `git status --short && git diff` via `run_command`. Confirm: - ZERO untracked (`??`) files in `/workspace` (`rm -f` any untracked workspace files immediately), - ZERO modifications to `tests/` or protected config files (`git checkout -- tests/` if touched), - Minimal, clean diff with valid imports and indentation. - Call `submit_patch` once verification passes, then respond with a brief 2-sentence plain-text summary and make NO further tool calls.
Task prompt 5,796 characters
You are evaluating a software engineering task for repository apiflask/apiflask.
Problem Statement:
Specifying `headers` option in `@output` decorator generates invalid spec for OAS version >= 3.0.0
The OpenAPI Specification for versions 3.0.0 and higher indicates that the `Header` object must not specify either a `name` or an `in` field:
- 3.0.0: https://spec.openapis.org/oas/v3.0.0.html#header-object
- 3.1.0: https://spec.openapis.org/oas/v3.1.0.html#header-object
The current implementation introduced in #511 invokes `schema2parameters` from `apispec`, which leaves the fields in place, resulting in an invalid spec.
```python
import openapi_spec_validator
from apiflask import APIFlask, Schema
from marshmallow.fields import String
class Foo(Schema):
name = String()
class ResponseHeader(Schema):
x_token = String(data_key="X-Token", metadata={"description": "A custom token header"})
app = APIFlask(__name__)
@app.route("/foo")
@app.output(Foo, headers=ResponseHeader)
def foo():
pass
client = app.test_client()
rv = client.get("/openapi.json")
assert rv.status_code == 200
openapi_spec_validator.validate(rv.json) # Fails
```
The generated spec looks like this:
```json
{
"components": {
"schemas": {
"Foo": {
"properties": {
"name": {
"type": "string"
}
},
"type": "object"
}
}
},
"info": {
"title": "APIFlask",
"version": "0.1.0"
},
"openapi": "3.0.3",
"paths": {
"/foo": {
"get": {
"parameters": [],
"responses": {
"200": {
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/Foo"
}
}
},
"description": "Successful response",
"headers": {
"X-Token": {
"description": "A custom token header",
"in": "header",
"name": "X-Token",
"required": false,
"schema": {
"type": "string"
}
}
}
}
},
"summary": "Foo"
}
}
},
"servers": [
{
"url": "http://localhost/"
}
],
"tags": []
}
```
I considered raising this against `apispec`, since in theory it might be possible to modify `schema2parameters` to not include `name` or `in` when the `location` value is `headers`, but the `name` value is still needed to populate the key of the `headers` dictionary in the spec, so I think it makes more sense to address in this project.
Environment:
- Python version: 3.11
- Flask version: 3.1.0
- APIFlask version: 2.3.0
## Task Budget (Session terminates when any budget is exhausted)
- Time allowance: 7.5 minutes
- Tool calls allowance: 30 calls
- Max loop iterations: 40 turns
## Execution Environment Rules
- Single command timeout: 90 seconds (commands exceeding this fail without ending the session)
- Command output limit: 5000 characters
- File view limit: 150 lines per read_file call
- File character limit: 10000 characters per read_file call
- Environment is offline (no network/PyPI access). All repository and test dependencies are ALREADY pre-installed. Do NOT attempt to run pip install or download packages.
## Instructions:
0. All source code is under `/workspace`. Do NOT search outside `/workspace` (e.g. `/usr/`, `/wheels/`, system site-packages). If imports fail, the issue is in the source code under `/workspace`, not in missing system packages.
1. Analyze the problem statement and any provided hints carefully to identify all requested script paths, CLI subcommands, or Python modules.
2. Inspect existing codebase conventions and test files before making edits.
3. Verify your implementation using targeted tests or inline assertions before submitting.
4. Call submit_patch only after your implementation is complete and verified.
5. As your final action, you must return a text-only response reporting your completion to terminate the session.
## Workspace Layout
The repository is located at `/workspace`. Here is the directory tree (up to 3 levels):
```
./CHANGES.md
./CODE_OF_CONDUCT.md
./CONTRIBUTING.md
./LICENSE
./MANIFEST.in
./NOTICE
./README.md
./codecov.yml
./docs
./examples
./mkdocs.yml
./netlify.toml
./pyproject.toml
./requirements
./requirements/dev.in
./requirements/dev.txt
./requirements/docs.in
./requirements/docs.txt
./requirements/examples.in
./requirements/examples.txt
./requirements/min-versions.in
./requirements/min-versions.txt
./requirements/tests.in
./requirements/tests.txt
./requirements/typing.in
./requirements/typing.txt
./src
./src/apiflask
./src/apiflask/__init__.py
./src/apiflask/app.py
./src/apiflask/blueprint.py
./src/apiflask/commands.py
./src/apiflask/exceptions.py
./src/apiflask/fields.py
./src/apiflask/helpers.py
./src/apiflask/openapi.py
./src/apiflask/py.typed
./src/apiflask/route.py
./src/apiflask/scaffold.py
./src/apiflask/schemas.py
./src/apiflask/security.py
./src/apiflask/settings.py
./src/apiflask/types.py
./src/apiflask/ui_templates.py
./src/apiflask/validators.py
./src/apiflask/views.py
./tests
./tox.ini
```
Turn 1at 27 s175 tokens out3,666 prompt tokens
The problem is that specifying `headers` in the `@output` decorator of APIFlask generates an invalid OpenAPI Specification (OAS) for version 3.0.0 and higher. Specifically, the `Header` object must not contain `name` or `in` fields, but `apispec.schema2parameters` (which is used internally) includes them. I need to find where `@output` handles headers and where it calls `schema2parameters`, then ensure that `name` and `in` are removed from the resulting header objects. First, I'll search for `@output` and `schema2parameters` to locate the relevant code.
TOOL CALL · run_command
{
"command": "grep -rn --include=\"*.py\" \"schema2parameters\" /workspace/src/apiflask"
}Result of run_command 180 characters
{
"status": "ok",
"stdout": "/workspace/src/apiflask/app.py:1256: headers = self._ma_plugin.converter.schema2parameters( # type: ignore\n",
"stderr": "",
"exit_code": 0
}Turn 2at 36 s114 tokens out3,919 prompt tokens
Okay, the usage of `schema2parameters` is in `/workspace/src/apiflask/app.py` at line 1256. Let's examine the code around that line. I'll also check where `@output` is defined/handled, although it's likely related to the same part of the code.
TOOL CALL · read_file
{
"end_line": 1300,
"filepath": "src/apiflask/app.py",
"start_line": 1200
}Result of read_file 3,688 characters
{
"status": "ok",
"filepath": "src/apiflask/app.py",
"content": " schema: SchemaType | dict,\n description: str,\n example: t.Any | None = None,\n examples: dict[str, t.Any] | None = None,\n links: dict[str, t.Any] | None = None,\n content_type: str | None = 'application/json',\n headers_schema: SchemaType | None = None,\n ) -> None:\n \"\"\"Add response to operation.\n\n *Version changed: 2.1.0*\n\n - Add parameter `headers_schema`.\n\n *Version changed: 1.3.0*\n\n - Add parameter `content_type`.\n\n *Version changed: 0.10.0*\n\n - Add `links` parameter.\n \"\"\"\n base_schema: OpenAPISchemaType | None = self.config['BASE_RESPONSE_SCHEMA']\n data_key: str = self.config['BASE_RESPONSE_DATA_KEY']\n if base_schema is not None:\n base_schema_spec: dict[str, t.Any]\n if isinstance(base_schema, type):\n base_schema_spec = self._ma_plugin.converter.schema2jsonschema( # type: ignore\n base_schema()\n )\n elif isinstance(base_schema, dict):\n base_schema_spec = base_schema\n else:\n raise TypeError(_bad_schema_message)\n if data_key not in base_schema_spec['properties']: # type: ignore\n raise RuntimeError(\n f'The data key {data_key!r} is not found in the base response schema spec.'\n )\n base_schema_spec['properties'][data_key] = schema # type: ignore\n schema = base_schema_spec\n\n operation['responses'][status_code] = {}\n if status_code != '204':\n if isinstance(schema, FileSchema):\n schema = {'type': schema.type, 'format': schema.format}\n elif isinstance(schema, EmptySchema):\n schema = {}\n operation['responses'][status_code]['content'] = {content_type: {'schema': schema}}\n operation['responses'][status_code]['description'] = description\n if example is not None:\n operation['responses'][status_code]['content'][content_type]['example'] = example\n if examples is not None:\n operation['responses'][status_code]['content'][content_type]['examples'] = examples\n if links is not None:\n operation['responses'][status_code]['links'] = links\n if headers_schema is not None:\n headers = self._ma_plugin.converter.schema2parameters( # type: ignore\n headers_schema, location='headers'\n )\n operation['responses'][status_code]['headers'] = {\n header['name']: header for header in headers\n }\n\n def _add_response_with_schema(\n self,\n spec: APISpec,\n operation: dict,\n status_code: str,\n schema: OpenAPISchemaType,\n schema_name: str,\n description: str,\n ) -> None:\n \"\"\"Add response with given schema to operation.\"\"\"\n if isinstance(schema, type):\n schema = schema()\n self._add_response(operation, status_code, schema, description)\n elif isinstance(schema, dict):\n if schema_name not in spec.components.schemas:\n spec.components.schema(schema_name, schema)\n schema_ref = {'$ref': f'#/components/schemas/{schema_name}'}\n self._add_response(operation, status_code, schema_ref, description)\n else:\n raise TypeError(_bad_schema_message)",
"start_line": 1200,
"end_line": 1282,
"total_lines": 1282,
"is_truncated": false
}Turn 3at 71 s647 tokens out5,024 prompt tokens
Wait, the `read_file` output ends at line 1282. The `grep` output said line 1256. Let's look at lines 1250-1265.
```python
if headers_schema is not None:
headers = self._ma_plugin.converter.schema2parameters( # type: ignore
headers_schema, location='headers'
)
operation['responses'][status_code]['headers'] = {
header['name']: header for header in headers
}
```
The `headers` returned by `schema2parameters` is a list of dicts. Each dict is used as the value in the `headers` dictionary of the response. The key is `header['name']`.
According to the problem statement, if OAS version >= 3.0.0, the `Header` object (the value in that dictionary) must not have `name` or `in` fields.
Existing code:
```python
operation['responses'][status_code]['headers'] = {
header['name']: header for header in headers
}
```
If `header` contains `name` and `in`, it will be included in the final spec:
```json
"headers": {
"X-Token": {
"description": "A custom token header",
"in": "header",
"name": "X-Token",
"required": false,
"schema": {
"type": "string"
}
}
}
```
I should remove `name` and `in` from the `header` dict before putting it into the response.
Wait, I should check if `schema2parameters` might be used elsewhere too, but `grep` only found one occurrence in `src/apiflask/app.py`.
Let's verify this with a reproduction script.
TOOL CALL · run_command
{
"command": "python3 - <<'PY'\nimport openapi_spec_validator\nfrom apiflask import APIFlask, Schema\nfrom marshmallow.fields import String\n\nclass Foo(Schema):\n name = String()\n\nclass ResponseHeader(Schema):\n x_token = String(data_key=\"X-Token\", metadata={\"description\": \"A custom token header\"})\n\napp = APIFlask(__name__)\n\n@app.route(\"/foo\")\n@app.output(Foo, headers=ResponseHeader)\ndef foo():\n pass\n\nclient = app.test_client()\nrv = client.get(\"/openapi.json\")\nprint(f\"Status code: {rv.status_code}\")\nimport json\nprint(json.dumps(rv.json, indent=2))\ntry:\n openapi_spec_validator.validate(rv.json)\n print(\"Validation successful\")\nexcept Exception as e:\n print(f\"Validation failed: {e}\")\nPY\n"
}Result of run_command 2,520 characters
{
"status": "ok",
"stdout": "Status code: 200\n{\n \"components\": {\n \"schemas\": {\n \"Foo\": {\n \"additionalProperties\": false,\n \"properties\": {\n \"name\": {\n \"type\": \"string\"\n }\n },\n \"type\": \"object\"\n }\n }\n },\n \"info\": {\n \"title\": \"APIFlask\",\n \"version\": \"0.1.0\"\n },\n \"openapi\": \"3.0.3\",\n \"paths\": {\n \"/foo\": {\n \"get\": {\n \"parameters\": [],\n \"responses\": {\n \"200\": {\n \"content\": {\n \"application/json\": {\n \"schema\": {\n \"$ref\": \"#/components/schemas/Foo\"\n }\n }\n },\n \"description\": \"Successful response\",\n \"headers\": {\n \"X-Token\": {\n \"description\": \"A custom token header\",\n \"in\": \"header\",\n \"name\": \"X-Token\",\n \"required\": false,\n \"schema\": {\n \"type\": \"string\"\n }\n }\n }\n }\n },\n \"summary\": \"Foo\"\n }\n }\n },\n \"servers\": [\n {\n \"url\": \"http://localhost/\"\n }\n ],\n \"tags\": []\n}\nValidation failed: {'content': {'application/json': {'schema': {'$ref': '#/components/schemas/Foo'}}}, 'description': 'Successful response', 'headers': {'X-Token': {'description': 'A custom token header', 'in': 'header', 'name': 'X-Token', 'required': False, 'schema': {'type': 'string'}}}} is not valid under any of the given schemas\n\nFailed validating 'oneOf' in schema['properties']['paths']['patternProperties']['^\\\\/']['patternProperties']['^(get|put|post|delete|options|head|patch|trace)$']['properties']['responses']['patternProperties']['^[1-5](?:\\\\d{2}|XX)$']:\n {'oneOf': [{'$ref': '#/definitions/Response'},\n {'$ref': '#/definitions/Reference'}]}\n\nOn instance['paths']['/foo']['get']['responses']['200']:\n {'content': {'application/json': {'schema': {'$ref': '#/components/schemas/Foo'}}},\n 'description': 'Successful response',\n 'headers': {'X-Token': {'description': 'A custom token header',\n 'in': 'header',\n 'name': 'X-Token',\n 'required': False,\n 'schema': {'type': 'string'}}}}\n",
"stderr": "",
"exit_code": 0
}Turn 4at 105 s577 tokens out6,360 prompt tokens
The reproduction script confirms the issue. The validation fails because the `X-Token` header object contains `in` and `name`.
I need to remove `name` and `in` from the `header` dict.
The code is:
```python
if headers_schema is not None:
headers = self._ma_plugin.converter.schema2parameters( # type: ignore
headers_schema, location='headers'
)
operation['responses'][status_code]['headers'] = {
header['name']: header for header in headers
}
```
I can modify it to:
```python
if headers_schema is not None:
headers = self._ma_plugin.converter.schema2parameters( # type: ignore
headers_schema, location='headers'
)
operation['responses'][status_code]['headers'] = {
header['name']: {k: v for k, v in header.items() if k not in ('name', 'in')}
for header in headers
}
```
Wait, is `headers` list of dicts? Yes, based on the loop `for header in headers`.
Let's verify if this handles all cases. If `headers` is a list of dicts, this will create a new dict for each header excluding `name` and `in`.
Let's double check if there are any other places where this might happen. The `grep` only found one.
I should also check if `schema2parameters` is used for other things like query parameters, path parameters, etc. In those cases, `in` and `name` ARE required.
In the current code:
```python
headers = self._ma_plugin.converter.schema2parameters( # type: ignore
headers_schema, location='headers'
)
operation['responses'][status_code]['headers'] = {
header['name']: header for header in headers
}
```
The `location='headers'` argument is passed to `schema2parameters`. This part specifically handles response headers.
For request parameters (query, path, header), they are usually in a list under `parameters`.
Let's check where else `schema2parameters` might be used if it's not in `src/apiflask/app.py`. I search for it in the whole `src/apiflask` directory again just to be sure I didn't miss anything.
TOOL CALL · run_command
{
"command": "grep -rn --include=\"*.py\" \"schema2parameters\" /workspace/src/apiflask"
}Result of run_command 180 characters
{
"status": "ok",
"stdout": "/workspace/src/apiflask/app.py:1256: headers = self._ma_plugin.converter.schema2parameters( # type: ignore\n",
"stderr": "",
"exit_code": 0
}Turn 5at 142 s639 tokens out7,014 prompt tokens
Only one occurrence. So this is the right place.
Let's refine the fix.
```python
if headers_schema is not None:
headers = self._ma_plugin.converter.schema2parameters( # type: ignore
headers_schema, location='headers'
)
operation['responses'][status_code]['headers'] = {
header['name']: {k: v for k, v in header.items() if k not in ('name', 'in')}
for header in headers
}
```
Wait, let's check if `header` is a dict. In the original code `header['name']` is accessed, so it must be a mapping (likely a dict).
Is there a more efficient way?
Maybe:
```python
operation['responses'][status_code]['headers'] = {}
for header in headers:
header_spec = header.copy()
name = header_spec.pop('name')
header_spec.pop('in', None)
operation['responses'][status_code]['headers'][name] = header_spec
```
Or just the comprehension I had.
Actually, let's see if `header` might be an object instead of a dict. But `header['name']` works, so it's a dict or something that supports `__getitem__`.
Let's use the comprehension for conciseness.
Actually, let's check if `header` contains other things that should be preserved.
In the reproduction output:
```json
"headers": {
"X-Token": {
"description": "A custom token header",
"in": "header",
"name": "X-Token",
"required": false,
"schema": {
"type": "string"
}
}
}
```
Everything except `in` and `name` should stay.
Let's apply the fix.
TOOL CALL · edit_file
{
"filepath": "src/apiflask/app.py",
"new_string": " if headers_schema is not None:\n headers = self._ma_plugin.converter.schema2parameters( # type: ignore\n headers_schema, location='headers'\n )\n operation['responses'][status_code]['headers'] = {\n header['name']: {k: v for k, v in header.items() if k not in ('name', 'in')}\n for header in headers\n }",
"old_string": " if headers_schema is not None:\n headers = self._ma_plugin.converter.schema2parameters( # type: ignore\n headers_schema, location='headers'\n )\n operation['responses'][status_code]['headers'] = {\n header['name']: header for header in headers\n }"
}Result of edit_file 590 characters
{
"status": "ok",
"filepath": "src/apiflask/app.py",
"occurrences": 1,
"strategy": "exact",
"diff": "--- a/src/apiflask/app.py\n+++ b/src/apiflask/app.py\n@@ -1257,7 +1257,8 @@\n headers_schema, location='headers'\n )\n operation['responses'][status_code]['headers'] = {\n- header['name']: header for header in headers\n+ header['name']: {k: v for k, v in header.items() if k not in ('name', 'in')}\n+ for header in headers\n }\n \n def _add_response_with_schema(\n",
"is_truncated": false
}Turn 6at 151 s241 tokens out7,855 prompt tokens
Now let's run the reproduction script again to verify the fix.
TOOL CALL · run_command
{
"command": "python3 - <<'PY'\nimport openapi_spec_validator\nfrom apiflask import APIFlask, Schema\nfrom marshmallow.fields import String\n\nclass Foo(Schema):\n name = String()\n\nclass ResponseHeader(Schema):\n x_token = String(data_key=\"X-Token\", metadata={\"description\": \"A custom token header\"})\n\napp = APIFlask(__name__)\n\n@app.route(\"/foo\")\n@app.output(Foo, headers=ResponseHeader)\ndef foo():\n pass\n\nclient = app.test_client()\nrv = client.get(\"/openapi.json\")\nprint(f\"Status code: {rv.status_code}\")\nimport json\nprint(json.dumps(rv.json, indent=2))\ntry:\n openapi_spec_validator.validate(rv.json)\n print(\"Validation successful\")\nexcept Exception as e:\n print(f\"Validation failed: {e}\")\nPY\n"
}Result of run_command 1,314 characters
{
"status": "ok",
"stdout": "Status code: 200\n{\n \"components\": {\n \"schemas\": {\n \"Foo\": {\n \"additionalProperties\": false,\n \"properties\": {\n \"name\": {\n \"type\": \"string\"\n }\n },\n \"type\": \"object\"\n }\n }\n },\n \"info\": {\n \"title\": \"APIFlask\",\n \"version\": \"0.1.0\"\n },\n \"openapi\": \"3.0.3\",\n \"paths\": {\n \"/foo\": {\n \"get\": {\n \"parameters\": [],\n \"responses\": {\n \"200\": {\n \"content\": {\n \"application/json\": {\n \"schema\": {\n \"$ref\": \"#/components/schemas/Foo\"\n }\n }\n },\n \"description\": \"Successful response\",\n \"headers\": {\n \"X-Token\": {\n \"description\": \"A custom token header\",\n \"required\": false,\n \"schema\": {\n \"type\": \"string\"\n }\n }\n }\n }\n },\n \"summary\": \"Foo\"\n }\n }\n },\n \"servers\": [\n {\n \"url\": \"http://localhost/\"\n }\n ],\n \"tags\": []\n}\nValidation successful\n",
"stderr": "",
"exit_code": 0
}Turn 7at 174 s298 tokens out8,471 prompt tokens
The validation is now successful.
I should check if there are any other things in `src/apiflask/app.py` that use `schema2parameters` and might need similar treatment. I already did `grep`, but let me double check for any potential issues with request parameters.
Wait, for request parameters, they are placed in the `parameters` list of the operation, NOT in the `headers` dictionary of a response.
Example of request parameter in OAS 3:
```json
"parameters": [
{
"name": "X-Token",
"in": "header",
"description": "...",
"required": true,
"schema": { "type": "string" }
}
]
```
For request parameters, `name` and `in` MUST be present.
For response headers, they are keys in a map, so `name` and `in` MUST NOT be present in the value object.
Our fix was specifically for `operation['responses'][status_code]['headers']`, which is only used for response headers.
Let's check if there are other similar patterns in the codebase.
Searching for `['headers']` in `src/apiflask`:
TOOL CALL · run_command
{
"command": "grep -rn \"['headers']\" /workspace/src/apiflask"
}Result of run_command 5,120 characters
{
"status": "ok",
"stdout": "/workspace/src/apiflask/fields.py:1:# Field aliases were skipped (e.g., Str, Int, Url, etc.)\n/workspace/src/apiflask/fields.py:2:import typing as t\n/workspace/src/apiflask/fields.py:3:import warnings\n/workspace/src/apiflask/fields.py:5:with warnings.catch_warnings():\n/workspace/src/apiflask/fields.py:6: warnings.simplefilter('ignore')\n/workspace/src/apiflask/fields.py:7: from flask_marshmallow.fields import AbsoluteURLFor as AbsoluteURLFor\n/workspace/src/apiflask/fields.py:8: from flask_marshmallow.fields import Hyperlinks as Hyperlinks\n/workspace/src/apiflask/fields.py:9: from flask_marshmallow.fields import URLFor as URLFor\n/workspace/src/apiflask/fields.py:10:from marshmallow.fields import AwareDateTime as AwareDateTime\n/workspace/src/apiflask/fields.py:11:from marshmallow.fields import Boolean as Boolean\n/workspace/src/apiflask/fields.py:12:from marshmallow.fields import Constant as Constant\n/workspace/src/apiflask/fields.py:13:from marshmallow.fields import Date as Date\n/workspace/src/apiflask/fields.py:14:from marshmallow.fields import DateTime as DateTime\n/workspace/src/apiflask/fields.py:15:from marshmallow.fields import Decimal as Decimal\n/workspace/src/apiflask/fields.py:16:from marshmallow.fields import Dict as Dict\n/workspace/src/apiflask/fields.py:17:from marshmallow.fields import Email as Email\n/workspace/src/apiflask/fields.py:18:from marshmallow.fields import Field as Field\n/workspace/src/apiflask/fields.py:19:from marshmallow.fields import Float as Float\n/workspace/src/apiflask/fields.py:20:from marshmallow.fields import Function as Function\n/workspace/src/apiflask/fields.py:21:from marshmallow.fields import Integer as Integer\n/workspace/src/apiflask/fields.py:22:from marshmallow.fields import IP as IP\n/workspace/src/apiflask/fields.py:23:from marshmallow.fields import IPv4 as IPv4\n/workspace/src/apiflask/fields.py:24:from marshmallow.fields import IPv6 as IPv6\n/workspace/src/apiflask/fields.py:25:from marshmallow.fields import List as List\n/workspace/src/apiflask/fields.py:26:from marshmallow.fields import Mapping as Mapping\n/workspace/src/apiflask/fields.py:27:from marshmallow.fields import Method as Method\n/workspace/src/apiflask/fields.py:28:from marshmallow.fields import NaiveDateTime as NaiveDateTime\n/workspace/src/apiflask/fields.py:29:from marshmallow.fields import Nested as Nested\n/workspace/src/apiflask/fields.py:30:from marshmallow.fields import Number as Number\n/workspace/src/apiflask/fields.py:31:from marshmallow.fields import Pluck as Pluck\n/workspace/src/apiflask/fields.py:32:from marshmallow.fields import Raw as Raw\n/workspace/src/apiflask/fields.py:33:from marshmallow.fields import String as String\n/workspace/src/apiflask/fields.py:34:from marshmallow.fields import Time as Time\n/workspace/src/apiflask/fields.py:35:from marshmallow.fields import TimeDelta as TimeDelta\n/workspace/src/apiflask/fields.py:36:from marshmallow.fields import Tuple as Tuple\n/workspace/src/apiflask/fields.py:37:from marshmallow.fields import URL as URL\n/workspace/src/apiflask/fields.py:38:from marshmallow.fields import UUID as UUID\n/workspace/src/apiflask/fields.py:39:from marshmallow.fields import Enum as Enum\n/workspace/src/apiflask/fields.py:40:from webargs.fields import DelimitedList as DelimitedList\n/workspace/src/apiflask/fields.py:41:from webargs.fields import DelimitedTuple as DelimitedTuple\n/workspace/src/apiflask/fields.py:42:from flask_marshmallow.fields import File as File\n/workspace/src/apiflask/fields.py:43:from flask_marshmallow.fields import Config as Config\n/workspace/src/apiflask/types.py:1:from __future__ import annotations\n/workspace/src/apiflask/types.py:3:import typing as t\n/workspace/src/apiflask/types.py:4:from typing import Protocol\n/workspace/src/apiflask/types.py:6:if t.TYPE_CHECKING: # pragma: no cover\n/workspace/src/apiflask/types.py:7: from flask.wrappers import Response # noqa: F401\n/workspace/src/apiflask/types.py:8: from werkzeug.datastructures import Headers # noqa: F401\n/workspace/src/apiflask/types.py:9: from _typeshed.wsgi import WSGIApplication # noqa: F401\n/workspace/src/apiflask/types.py:10: from .fields import Field # noqa: F401\n/workspace/src/apiflask/types.py:11: from .schemas import Schema # noqa: F401\n/workspace/src/apiflask/types.py:12: from .security import HTTPBasicAuth # noqa: F401\n/workspace/src/apiflask/types.py:13: from .security import HTTPTokenAuth # noqa: F401\n/workspace/src/apiflask/types.py:14: from .exceptions import HTTPError # noqa: F401\n/workspace/src/apiflask/types.py:15: from .views import View # noqa: F401\n/workspace/src/apiflask/types.py:18:DecoratedType = t.TypeVar('DecoratedType', bound=t.Callable[..., t.Any])\n/workspace/src/apiflask/types.py:19:RequestType = t.TypeVar('RequestType')\n/workspace/src/apiflask/types.py:21:ResponseBodyType = t.Union[\n/workspace/src/apiflask/types.py:22: str,\n/workspace/src/apiflask/types.py:23: bytes,\n/workspace/src/apiflask/types.py:24: t.List[t.A",
"stderr": "",
"exit_code": 0
}Turn 8at 182 s82 tokens out10,498 prompt tokens
Wait, my `grep` for `['headers']` returned a lot of noise and probably didn't match what I wanted because I didn't escape the brackets or something. Let's try again with a simpler string.
TOOL CALL · run_command
{
"command": "grep -rn \"headers\" /workspace/src/apiflask | grep \"responses\""
}Result of run_command 160 characters
{
"status": "ok",
"stdout": "/workspace/src/apiflask/app.py:1259: operation['responses'][status_code]['headers'] = {\n",
"stderr": "",
"exit_code": 0
}Turn 9at 190 s118 tokens out10,650 prompt tokens
Okay, so it seems my change in `app.py` is the only place where response headers are being added to the OpenAPI spec. I should also check if there are other ways to add responses that might also add headers. `_add_response` and `_add_response_with_schema` are called from some place. Let's see where `_add_response` is called.
TOOL CALL · run_command
{
"command": "grep -rn \"_add_response\" /workspace/src/apiflask"
}Result of run_command 1,068 characters
{
"status": "ok",
"stdout": "/workspace/src/apiflask/app.py:993: self._add_response(\n/workspace/src/apiflask/app.py:1008: self._add_response(\n/workspace/src/apiflask/app.py:1026: self._add_response_with_schema(\n/workspace/src/apiflask/app.py:1045: self._add_response_with_schema(\n/workspace/src/apiflask/app.py:1053: self._add_response_with_schema(\n/workspace/src/apiflask/app.py:1088: self._add_response_with_schema(\n/workspace/src/apiflask/app.py:1092: self._add_response(operation, status_code, {}, description)\n/workspace/src/apiflask/app.py:1196: def _add_response(\n/workspace/src/apiflask/app.py:1264: def _add_response_with_schema(\n/workspace/src/apiflask/app.py:1276: self._add_response(operation, status_code, schema, description)\n/workspace/src/apiflask/app.py:1281: self._add_response(operation, status_code, schema_ref, description)\n",
"stderr": "",
"exit_code": 0
}Turn 10at 197 s103 tokens out11,141 prompt tokens
Most of these calls seem to be internal wrappers around `_add_response` and `_add_response_with_schema`. Both of these eventually call `_add_response` (or are `_add_response`). Let's check `_add_ response` definition again.
TOOL CALL · read_file
{
"end_line": 1282,
"filepath": "src/apiflask/app.py",
"start_line": 1196
}Result of read_file 3,801 characters
{
"status": "ok",
"filepath": "src/apiflask/app.py",
"content": " def _add_response(\n self,\n operation: dict,\n status_code: str,\n schema: SchemaType | dict,\n description: str,\n example: t.Any | None = None,\n examples: dict[str, t.Any] | None = None,\n links: dict[str, t.Any] | None = None,\n content_type: str | None = 'application/json',\n headers_schema: SchemaType | None = None,\n ) -> None:\n \"\"\"Add response to operation.\n\n *Version changed: 2.1.0*\n\n - Add parameter `headers_schema`.\n\n *Version changed: 1.3.0*\n\n - Add parameter `content_type`.\n\n *Version changed: 0.10.0*\n\n - Add `links` parameter.\n \"\"\"\n base_schema: OpenAPISchemaType | None = self.config['BASE_RESPONSE_SCHEMA']\n data_key: str = self.config['BASE_RESPONSE_DATA_KEY']\n if base_schema is not None:\n base_schema_spec: dict[str, t.Any]\n if isinstance(base_schema, type):\n base_schema_spec = self._ma_plugin.converter.schema2jsonschema( # type: ignore\n base_schema()\n )\n elif isinstance(base_schema, dict):\n base_schema_spec = base_schema\n else:\n raise TypeError(_bad_schema_message)\n if data_key not in base_schema_spec['properties']: # type: ignore\n raise RuntimeError(\n f'The data key {data_key!r} is not found in the base response schema spec.'\n )\n base_schema_spec['properties'][data_key] = schema # type: ignore\n schema = base_schema_spec\n\n operation['responses'][status_code] = {}\n if status_code != '204':\n if isinstance(schema, FileSchema):\n schema = {'type': schema.type, 'format': schema.format}\n elif isinstance(schema, EmptySchema):\n schema = {}\n operation['responses'][status_code]['content'] = {content_type: {'schema': schema}}\n operation['responses'][status_code]['description'] = description\n if example is not None:\n operation['responses'][status_code]['content'][content_type]['example'] = example\n if examples is not None:\n operation['responses'][status_code]['content'][content_type]['examples'] = examples\n if links is not None:\n operation['responses'][status_code]['links'] = links\n if headers_schema is not None:\n headers = self._ma_plugin.converter.schema2parameters( # type: ignore\n headers_schema, location='headers'\n )\n operation['responses'][status_code]['headers'] = {\n header['name']: {k: v for k, v in header.items() if k not in ('name', 'in')}\n for header in headers\n }\n\n def _add_response_with_schema(\n self,\n spec: APISpec,\n operation: dict,\n status_code: str,\n schema: OpenAPISchemaType,\n schema_name: str,\n description: str,\n ) -> None:\n \"\"\"Add response with given schema to operation.\"\"\"\n if isinstance(schema, type):\n schema = schema()\n self._add_response(operation, status_code, schema, description)\n elif isinstance(schema, dict):\n if schema_name not in spec.components.schemas:\n spec.components.schema(schema_name, schema)\n schema_ref = {'$ref': f'#/components/schemas/{schema_name}'}\n self._add_response(operation, status_code, schema_ref, description)\n else:",
"start_line": 1196,
"end_line": 1282,
"total_lines": 1283,
"is_truncated": false
}Turn 11at 203 s99 tokens out12,276 prompt tokens
Yes, the fix is correctly applied in `_add_response`. Everything else should be fine. Let's do one last check: are there any other places where `headers` are handled in the OpenAPI specification generation? I'll search for `['headers']` again, but this time more carefully.
TOOL CALL · run_command
{
"command": "grep -rn \"headers\" /workspace/src/apiflask | grep \"operation\""
}Result of run_command 160 characters
{
"status": "ok",
"stdout": "/workspace/src/apiflask/app.py:1259: operation['responses'][status_code]['headers'] = {\n",
"stderr": "",
"exit_code": 0
}Turn 12at 210 s79 tokens out12,445 prompt tokens
Still just that one place. I've reproduced the issue, implemented a fix, and verified the fix with the reproduction script and `openapi-spec-validator`. I'll now check `git status` and `git diff` to make sure everything is clean.
TOOL CALL · run_command
{
"command": "git status --short && git diff"
}Result of run_command 672 characters
{
"status": "ok",
"stdout": " M src/apiflask/app.py\ndiff --git a/src/apiflask/app.py b/src/apiflask/app.py\nindex 1220ffe..db3b729 100644\n--- a/src/apiflask/app.py\n+++ b/src/apiflask/app.py\n@@ -1257,7 +1257,8 @@ class APIFlask(APIScaffold, Flask):\n headers_schema, location='headers'\n )\n operation['responses'][status_code]['headers'] = {\n- header['name']: header for header in headers\n+ header['name']: {k: v for k, v in header.items() if k not in ('name', 'in')}\n+ for header in headers\n }\n \n def _add_response_with_schema(\n",
"stderr": "",
"exit_code": 0
}Turn 13at 212 s37 tokens out12,776 prompt tokens
The diff looks correct and minimal. No untracked files. No changes to tests. I'm ready to submit.
TOOL CALL · submit_patch
Result of submit_patch 55 characters
{
"status": "ok",
"patch_size": 574,
"files_changed": 1
}Turn 14at 224 s156 tokens out12,852 prompt tokens
I have completed the task. I identified the root cause (inclusion of `name` and `in` fields in the `Header` object of the response in OAS 3.0+), implemented a fix by filtering those fields out when constructing the `headers` dictionary for a response, and verified the fix with a reproduction script and `openapi-spec-validator`.
Turn 15at 224 s
The issue was caused by the `headers` option in the `@output` decorator including `name` and `in` fields in the generated OpenAPI Specification for responses, which is forbidden for OAS versions 3.0.0 and higher. The fix involves filtering out these two fields from the header object before adding it to the response specification in `src/apiflask/app.py`.
Model calls (not matched to turns)
Generated tokens 175 tokens · stopped: STOP
The problem is that specifying `headers` in the `@output` decorator of APIFlask generates an invalid OpenAPI Specification (OAS) for version 3.0.0 and higher. Specifically, the `Header` object must not contain `name` or `in` fields, but `apispec.schema2parameters` (which is used internally) includes them. I need to find where `@output` handles headers and where it calls `schema2parameters`, then ensure that `name` and `in` are removed from the resulting header objects. First, I'll search for `@output` and `schema2parameters` to locate the relevant code.
<|channel>thought
The problem is that specifying `headers` in the `@output` decorator of APIFlask generates an invalid OpenAPI Specification (OAS) for version 3.0.0 and higher. Specifically, the `Header` object must not contain `name` or `in` fields, but `apispec.schema2parameters` (which is used internally) includes them.
I need to find where `@output` handles headers and where it calls `schema2parameters`, then ensure that `name` and `in` are removed from the resulting header objects.
First, I'll search for `@output` and `schema2parameters` to locate the relevant code.<channel|><|tool_call>call:run_command{command:<|"|>grep -rn --include="*.py" "schema2parameters" /workspace/src/apiflask<|"|>}<tool_call|><|tool_response>
Generated tokens 114 tokens · stopped: STOP
Okay, the usage of `schema2parameters` is in `/workspace/src/apiflask/app.py` at line 1256. Let's examine the code around that line. I'll also check where `@output` is defined/handled, although it's likely related to the same part of the code.
Okay, the usage of `schema2parameters` is in `/workspace/src/apiflask/app.py` at line 1256. Let's examine the code around that line. I'll also check where `@output` is defined/handled, although it's likely related to the same part of the code.
<channel|><|tool_call>call:read_file{filepath:<|"|>src/apiflask/app.py<|"|>,start_line:1200,end_line:1300}<tool_call|><|tool_response>
Generated tokens 647 tokens · stopped: STOP
Wait, the `read_file` output ends at line 1282. The `grep` output said line 1256. Let's look at lines 1250-1265.
```python
if headers_schema is not None:
headers = self._ma_plugin.converter.schema2parameters( # type: ignore
headers_schema, location='headers'
)
operation['responses'][status_code]['headers'] = {
header['name']: header for header in headers
}
```
The `headers` returned by `schema2parameters` is a list of dicts. Each dict is used as the value in the `headers` dictionary of the response. The key is `header['name']`.
According to the problem statement, if OAS version >= 3.0.0, the `Header` object (the value in that dictionary) must not have `name` or `in` fields.
Existing code:
```python
operation['responses'][status_code]['headers'] = {
header['name']: header for header in headers
}
```
If `header` contains `name` and `in`, it will be included in the final spec:
```json
"headers": {
"X-Token": {
"description": "A custom token header",
"in": "header",
"name": "X-Token",
"required": false,
"schema": {
"type": "string"
}
}
}
```
I should remove `name` and `in` from the `header` dict before putting it into the response.
Wait, I should check if `schema2parameters` might be used elsewhere too, but `grep` only found one occurrence in `src/apiflask/app.py`.
Let's verify this with a reproduction script.
Wait, the `read_file` output ends at line 1282. The `grep` output said line 1256. Let's look at lines 1250-1265.
```python
if headers_schema is not None:
headers = self._ma_plugin.converter.schema2parameters( # type: ignore
headers_schema, location='headers'
)
operation['responses'][status_code]['headers'] = {
header['name']: header for header in headers
}
```
The `headers` returned by `schema2parameters` is a list of dicts. Each dict is used as the value in the `headers` dictionary of the response. The key is `header['name']`.
According to the problem statement, if OAS version >= 3.0.0, the `Header` object (the value in that dictionary) must not have `name` or `in` fields.
Existing code:
```python
operation['responses'][status_code]['headers'] = {
header['name']: header for header in headers
}
```
If `header` contains `name` and `in`, it will be included in the final spec:
```json
"headers": {
"X-Token": {
"description": "A custom token header",
"in": "header",
"name": "X-Token",
"required": false,
"schema": {
"type": "string"
}
}
}
```
I should remove `name` and `in` from the `header` dict before putting it into the response.
Wait, I should check if `schema2parameters` might be used elsewhere too, but `grep` only found one occurrence in `src/apiflask/app.py`.
Let's verify this with a reproduction script.
<channel|><|tool_call>call:run_command{command:<|"|>python3 - <<'PY'
import openapi_spec_validator
from apiflask import APIFlask, Schema
from marshmallow.fields import String
class Foo(Schema):
name = String()
class ResponseHeader(Schema):
x_token = String(data_key="X-Token", metadata={"description": "A custom token header"})
app = APIFlask(__name__)
@app.route("/foo")
@app.output(Foo, headers=ResponseHeader)
def foo():
pass
client = app.test_client()
rv = client.get("/openapi.json")
print(f"Status code: {rv.status_code}")
import json
print(json.dumps(rv.json, indent=2))
try:
openapi_spec_validator.validate(rv.json)
print("Validation successful")
except Exception as e:
print(f"Validation failed: {e}")
PY
<|"|>}<tool_call|><|tool_response>
Generated tokens 577 tokens · stopped: STOP
The reproduction script confirms the issue. The validation fails because the `X-Token` header object contains `in` and `name`.
I need to remove `name` and `in` from the `header` dict.
The code is:
```python
if headers_schema is not None:
headers = self._ma_plugin.converter.schema2parameters( # type: ignore
headers_schema, location='headers'
)
operation['responses'][status_code]['headers'] = {
header['name']: header for header in headers
}
```
I can modify it to:
```python
if headers_schema is not None:
headers = self._ma_plugin.converter.schema2parameters( # type: ignore
headers_schema, location='headers'
)
operation['responses'][status_code]['headers'] = {
header['name']: {k: v for k, v in header.items() if k not in ('name', 'in')}
for header in headers
}
```
Wait, is `headers` list of dicts? Yes, based on the loop `for header in headers`.
Let's verify if this handles all cases. If `headers` is a list of dicts, this will create a new dict for each header excluding `name` and `in`.
Let's double check if there are any other places where this might happen. The `grep` only found one.
I should also check if `schema2parameters` is used for other things like query parameters, path parameters, etc. In those cases, `in` and `name` ARE required.
In the current code:
```python
headers = self._ma_plugin.converter.schema2parameters( # type: ignore
headers_schema, location='headers'
)
operation['responses'][status_code]['headers'] = {
header['name']: header for header in headers
}
```
The `location='headers'` argument is passed to `schema2parameters`. This part specifically handles response headers.
For request parameters (query, path, header), they are usually in a list under `parameters`.
Let's check where else `schema2parameters` might be used if it's not in `src/apiflask/app.py`. I search for it in the whole `src/apiflask` directory again just to be sure I didn't miss anything.
The reproduction script confirms the issue. The validation fails because the `X-Token` header object contains `in` and `name`.
I need to remove `name` and `in` from the `header` dict.
The code is:
```python
if headers_schema is not None:
headers = self._ma_plugin.converter.schema2parameters( # type: ignore
headers_schema, location='headers'
)
operation['responses'][status_code]['headers'] = {
header['name']: header for header in headers
}
```
I can modify it to:
```python
if headers_schema is not None:
headers = self._ma_plugin.converter.schema2parameters( # type: ignore
headers_schema, location='headers'
)
operation['responses'][status_code]['headers'] = {
header['name']: {k: v for k, v in header.items() if k not in ('name', 'in')}
for header in headers
}
```
Wait, is `headers` list of dicts? Yes, based on the loop `for header in headers`.
Let's verify if this handles all cases. If `headers` is a list of dicts, this will create a new dict for each header excluding `name` and `in`.
Let's double check if there are any other places where this might happen. The `grep` only found one.
I should also check if `schema2parameters` is used for other things like query parameters, path parameters, etc. In those cases, `in` and `name` ARE required.
In the current code:
```python
headers = self._ma_plugin.converter.schema2parameters( # type: ignore
headers_schema, location='headers'
)
operation['responses'][status_code]['headers'] = {
header['name']: header for header in headers
}
```
The `location='headers'` argument is passed to `schema2parameters`. This part specifically handles response headers.
For request parameters (query, path, header), they are usually in a list under `parameters`.
Let's check where else `schema2parameters` might be used if it's not in `src/apiflask/app.py`. I search for it in the whole `src/apiflask` directory again just to be sure I didn't miss anything.
<channel|><|tool_call>call:run_command{command:<|"|>grep -rn --include="*.py" "schema2parameters" /workspace/src/apiflask<|"|>}<tool_call|><|tool_response>
Generated tokens 639 tokens · stopped: STOP
Only one occurrence. So this is the right place.
Let's refine the fix.
```python
if headers_schema is not None:
headers = self._ma_plugin.converter.schema2parameters( # type: ignore
headers_schema, location='headers'
)
operation['responses'][status_code]['headers'] = {
header['name']: {k: v for k, v in header.items() if k not in ('name', 'in')}
for header in headers
}
```
Wait, let's check if `header` is a dict. In the original code `header['name']` is accessed, so it must be a mapping (likely a dict).
Is there a more efficient way?
Maybe:
```python
operation['responses'][status_code]['headers'] = {}
for header in headers:
header_spec = header.copy()
name = header_spec.pop('name')
header_spec.pop('in', None)
operation['responses'][status_code]['headers'][name] = header_spec
```
Or just the comprehension I had.
Actually, let's see if `header` might be an object instead of a dict. But `header['name']` works, so it's a dict or something that supports `__getitem__`.
Let's use the comprehension for conciseness.
Actually, let's check if `header` contains other things that should be preserved.
In the reproduction output:
```json
"headers": {
"X-Token": {
"description": "A custom token header",
"in": "header",
"name": "X-Token",
"required": false,
"schema": {
"type": "string"
}
}
}
```
Everything except `in` and `name` should stay.
Let's apply the fix.
Only one occurrence. So this is the right place.
Let's refine the fix.
```python
if headers_schema is not None:
headers = self._ma_plugin.converter.schema2parameters( # type: ignore
headers_schema, location='headers'
)
operation['responses'][status_code]['headers'] = {
header['name']: {k: v for k, v in header.items() if k not in ('name', 'in')}
for header in headers
}
```
Wait, let's check if `header` is a dict. In the original code `header['name']` is accessed, so it must be a mapping (likely a dict).
Is there a more efficient way?
Maybe:
```python
operation['responses'][status_code]['headers'] = {}
for header in headers:
header_spec = header.copy()
name = header_spec.pop('name')
header_spec.pop('in', None)
operation['responses'][status_code]['headers'][name] = header_spec
```
Or just the comprehension I had.
Actually, let's see if `header` might be an object instead of a dict. But `header['name']` works, so it's a dict or something that supports `__getitem__`.
Let's use the comprehension for conciseness.
Actually, let's check if `header` contains other things that should be preserved.
In the reproduction output:
```json
"headers": {
"X-Token": {
"description": "A custom token header",
"in": "header",
"name": "X-Token",
"required": false,
"schema": {
"type": "string"
}
}
}
```
Everything except `in` and `name` should stay.
Let's apply the fix.
<channel|><|tool_call>call:edit_file{filepath:<|"|>src/apiflask/app.py<|"|>,new_string:<|"|> if headers_schema is not None:
headers = self._ma_plugin.converter.schema2parameters( # type: ignore
headers_schema, location='headers'
)
operation['responses'][status_code]['headers'] = {
header['name']: {k: v for k, v in header.items() if k not in ('name', 'in')}
for header in headers
}<|"|>,old_string:<|"|> if headers_schema is not None:
headers = self._ma_plugin.converter.schema2parameters( # type: ignore
headers_schema, location='headers'
)
operation['responses'][status_code]['headers'] = {
header['name']: header for header in headers
}<|"|>}<tool_call|><|tool_response>
Generated tokens 241 tokens · stopped: STOP
Now let's run the reproduction script again to verify the fix.
Now let's run the reproduction script again to verify the fix.
<channel|><|tool_call>call:run_command{command:<|"|>python3 - <<'PY'
import openapi_spec_validator
from apiflask import APIFlask, Schema
from marshmallow.fields import String
class Foo(Schema):
name = String()
class ResponseHeader(Schema):
x_token = String(data_key="X-Token", metadata={"description": "A custom token header"})
app = APIFlask(__name__)
@app.route("/foo")
@app.output(Foo, headers=ResponseHeader)
def foo():
pass
client = app.test_client()
rv = client.get("/openapi.json")
print(f"Status code: {rv.status_code}")
import json
print(json.dumps(rv.json, indent=2))
try:
openapi_spec_validator.validate(rv.json)
print("Validation successful")
except Exception as e:
print(f"Validation failed: {e}")
PY
<|"|>}<tool_call|><|tool_response>
Generated tokens 298 tokens · stopped: STOP
The validation is now successful.
I should check if there are any other things in `src/apiflask/app.py` that use `schema2parameters` and might need similar treatment. I already did `grep`, but let me double check for any potential issues with request parameters.
Wait, for request parameters, they are placed in the `parameters` list of the operation, NOT in the `headers` dictionary of a response.
Example of request parameter in OAS 3:
```json
"parameters": [
{
"name": "X-Token",
"in": "header",
"description": "...",
"required": true,
"schema": { "type": "string" }
}
]
```
For request parameters, `name` and `in` MUST be present.
For response headers, they are keys in a map, so `name` and `in` MUST NOT be present in the value object.
Our fix was specifically for `operation['responses'][status_code]['headers']`, which is only used for response headers.
Let's check if there are other similar patterns in the codebase.
Searching for `['headers']` in `src/apiflask`:
The validation is now successful.
I should check if there are any other things in `src/apiflask/app.py` that use `schema2parameters` and might need similar treatment. I already did `grep`, but let me double check for any potential issues with request parameters.
Wait, for request parameters, they are placed in the `parameters` list of the operation, NOT in the `headers` dictionary of a response.
Example of request parameter in OAS 3:
```json
"parameters": [
{
"name": "X-Token",
"in": "header",
"description": "...",
"required": true,
"schema": { "type": "string" }
}
]
```
For request parameters, `name` and `in` MUST be present.
For response headers, they are keys in a map, so `name` and `in` MUST NOT be present in the value object.
Our fix was specifically for `operation['responses'][status_code]['headers']`, which is only used for response headers.
Let's check if there are other similar patterns in the codebase.
Searching for `['headers']` in `src/apiflask`:
<channel|><|tool_call>call:run_command{command:<|"|>grep -rn "['headers']" /workspace/src/apiflask<|"|>}<tool_call|><|tool_response>
Generated tokens 82 tokens · stopped: STOP
Wait, my `grep` for `['headers']` returned a lot of noise and probably didn't match what I wanted because I didn't escape the brackets or something. Let's try again with a simpler string.
Wait, my `grep` for `['headers']` returned a lot of noise and probably didn't match what I wanted because I didn't escape the brackets or something.
Let's try again with a simpler string.<channel|><|tool_call>call:run_command{command:<|"|>grep -rn "headers" /workspace/src/apiflask | grep "responses"<|"|>}<tool_call|><|tool_response>
Generated tokens 118 tokens · stopped: STOP
Okay, so it seems my change in `app.py` is the only place where response headers are being added to the OpenAPI spec. I should also check if there are other ways to add responses that might also add headers. `_add_response` and `_add_response_with_schema` are called from some place. Let's see where `_add_response` is called.
Okay, so it seems my change in `app.py` is the only place where response headers are being added to the OpenAPI spec.
I should also check if there are other ways to add responses that might also add headers.
`_add_response` and `_add_response_with_schema` are called from some place.
Let's see where `_add_response` is called.
<channel|><|tool_call>call:run_command{command:<|"|>grep -rn "_add_response" /workspace/src/apiflask<|"|>}<tool_call|><|tool_response>
Generated tokens 103 tokens · stopped: STOP
Most of these calls seem to be internal wrappers around `_add_response` and `_add_response_with_schema`. Both of these eventually call `_add_response` (or are `_add_response`). Let's check `_add_ response` definition again.
Most of these calls seem to be internal wrappers around `_add_response` and `_add_response_with_schema`. Both of these eventually call `_add_response` (or are `_add_response`).
Let's check `_add_ response` definition again.<channel|><|tool_call>call:read_file{end_line:1282,filepath:<|"|>src/apiflask/app.py<|"|>,start_line:1196}<tool_call|><|tool_response>
Generated tokens 99 tokens · stopped: STOP
Yes, the fix is correctly applied in `_add_response`. Everything else should be fine. Let's do one last check: are there any other places where `headers` are handled in the OpenAPI specification generation? I'll search for `['headers']` again, but this time more carefully.
Yes, the fix is correctly applied in `_add_response`. Everything else should be fine.
Let's do one last check: are there any other places where `headers` are handled in the OpenAPI specification generation?
I'll search for `['headers']` again, but this time more carefully.<channel|><|tool_call>call:run_command{command:<|"|>grep -rn "headers" /workspace/src/apiflask | grep "operation"<|"|>}<tool_call|><|tool_response>
Generated tokens 79 tokens · stopped: STOP
Still just that one place. I've reproduced the issue, implemented a fix, and verified the fix with the reproduction script and `openapi-spec-validator`. I'll now check `git status` and `git diff` to make sure everything is clean.
Still just that one place.
I've reproduced the issue, implemented a fix, and verified the fix with the reproduction script and `openapi-spec-validator`.
I'll now check `git status` and `git diff` to make sure everything is clean.
<channel|><|tool_call>call:run_command{command:<|"|>git status --short && git diff<|"|>}<tool_call|><|tool_response>
Generated tokens 37 tokens · stopped: STOP
The diff looks correct and minimal. No untracked files. No changes to tests. I'm ready to submit.
The diff looks correct and minimal. No untracked files. No changes to tests.
I'm ready to submit.
<channel|><|tool_call>call:submit_patch{}<tool_call|><|tool_response>
Patch, tests and logs
Final code change Included
diff --git a/src/apiflask/app.py b/src/apiflask/app.py
index 1220ffe..db3b729 100644
--- a/src/apiflask/app.py
+++ b/src/apiflask/app.py
@@ -1257,7 +1257,8 @@ class APIFlask(APIScaffold, Flask):
headers_schema, location='headers'
)
operation['responses'][status_code]['headers'] = {
- header['name']: header for header in headers
+ header['name']: {k: v for k, v in header.items() if k not in ('name', 'in')}
+ for header in headers
}
def _add_response_with_schema(
Test output Included
============================= test session starts ============================== collected 5 items tests/test_openapi_headers.py ..... [100%] ==================================== PASSES ==================================== - generated xml file: /tmp/rebench-grade-b221d4fe55c1473b91513221975873c1.xml -- ---------- coverage: platform linux, python 3.10.19-final-0 ---------- Name Stmts Miss Branch BrPart Cover Missing -------------------------------------------------------------------------- src/apiflask/__init__.py 15 0 0 0 100% src/apiflask/app.py 474 196 264 70 51% 376, 378->exit, 384-388, 397, 399, 414-415, 502-504, 526->541, 535, 541->567, 543-544, 552, 559->567, 560->567, 565, 567->exit, 604, 605->621, 608-613, 617-619, 622-631, 660-661, 674, 687, 689, 696, 700, 702, 704, 706, 714-716, 719->730, 728-729, 740-742, 747-749, 764, 767-770, 800, 802->804, 805, 839, 842, 857-868, 871-872, 877-886, 889, 894, 898-899, 906-933, 943, 947, 950->954, 955, 958->967, 964, 968, 974-978, 1007-1008, 1019-1026, 1040-1045, 1051-1053, 1058-1092, 1096-1109, 1114-1125, 1128-1129, 1135, 1142-1143, 1151-1157, 1163, 1188-1189, 1226-1239, 1242->1248, 1244, 1246, 1250, 1252, 1254, 1255->exit, 1274-1283 src/apiflask/blueprint.py 11 3 2 0 77% 69-82 src/apiflask/commands.py 24 24 10 0 0% 1-54 src/apiflask/exceptions.py 32 16 14 0 35% 72-92, 150 src/apiflask/fields.py 41 0 2 0 100% src/apiflask/helpers.py 17 8 0 0 53% 26, 89-99 src/apiflask/openapi.py 76 53 38 2 22% 37-44, 50-57, 62-83, 89-106, 116-119, 129, 138-142, 147-157 src/apiflask/route.py 49 33 32 2 22% 33-63, 81-83, 87-94 src/apiflask/scaffold.py 153 75 46 5 46% 51, 62, 69-71, 76, 81, 85->87, 93, 97, 104->106, 120-131, 135, 139, 143, 147, 151, 203-208, 298-367, 487, 489, 493->501, 556-568, 675-691 src/apiflask/schemas.py 28 3 0 0 89% 144-145, 148 src/apiflask/security.py 33 13 4 0 54% 23-25, 29, 42-45, 75, 116-117, 168-169 src/apiflask/settings.py 64 0 0 0 100% src/apiflask/types.py 36 0 0 0 100% src/apiflask/ui_templates.py 7 0 0 0 100% src/apiflask/validators.py 17 0 0 0 100% -------------------------------------------------------------------------- TOTAL 1077 424 412 79 52% Coverage XML written to file coverage.xml =========================== short test summary info ============================ PASSED tests/test_openapi_headers.py::test_spec_with_dict_headers PASSED tests/test_openapi_headers.py::test_spec_with_empty_headers PASSED tests/test_openapi_headers.py::test_spec_with_schema_headers PASSED tests/test_openapi_headers.py::test_spec_validity_with_headers[3.0.0] PASSED tests/test_openapi_headers.py::test_spec_validity_with_headers[3.1.0] ============================== 5 passed in 0.47s ===============================
Test errors Included
Test report (JUnit) Included
<?xml version="1.0" encoding="utf-8"?><testsuites><testsuite name="pytest" errors="0" failures="0" skipped="0" tests="5" time="0.472" timestamp="2026-11-14T05:01:21.144106+00:00" hostname="fb76d83c82bf"><testcase classname="tests.test_openapi_headers" name="test_spec_with_dict_headers" time="0.009" /><testcase classname="tests.test_openapi_headers" name="test_spec_with_empty_headers" time="0.003" /><testcase classname="tests.test_openapi_headers" name="test_spec_with_schema_headers" time="0.003" /><testcase classname="tests.test_openapi_headers" name="test_spec_validity_with_headers[3.0.0]" time="0.014" /><testcase classname="tests.test_openapi_headers" name="test_spec_validity_with_headers[3.1.0]" time="0.018" /></testsuite></testsuites>
Agent log Included
[ 0.0s] 📋 System Prompt: You are a principal Python software engineer resolving a repository issue in `/workspace`.
[ 0.0s] 🎯 Task Prompt: You are evaluating a software engineering task for repository apiflask/apiflask.
[ 16.2s] 💭 (561 chars) "The problem is that specifying `headers` in the `@output` decorator of APIFlask generates an
invalid OpenAPI Specificati..."
[ 16.2s] 🔧 run_command grep -rn --include="*.py" "schema2parameters" /workspace/src/apiflask
[ 16.3s] → /workspace/src/apiflask/app.py:1256: headers = self._ma_plugin.converter.schema2parameters(
# type: ignore
[ 25.4s] 💭 (243 chars) "Okay, the usage of `schema2parameters` is in `/workspace/src/apiflask/app.py` at line 1256.
Let's examine the code aroun..."
[ 25.4s] 📖 read_file (src/apiflask/app.py)
[ 25.5s] ✓ {'status': 'ok', 'filepath': 'src/apiflask/app.py', 'content': ' schema: SchemaType | dict,\n
description:…
[ 60.6s] 💭 (1532 chars) "Wait, the `read_file` output ends at line 1282. The `grep` output said line 1256. Let's
look at lines 1250-1265.
```pyt..."
[ 60.6s] 🔧 run_command (29 lines) python3 - <<'PY'
[ 61.6s] → Status code: 200
[ 94.1s] 💭 (2186 chars) "The reproduction script confirms the issue. The validation fails because the `X-Token`
header object contains `in` and `..."
[ 94.1s] 🔧 run_command grep -rn --include="*.py" "schema2parameters" /workspace/src/apiflask
[ 94.2s] → /workspace/src/apiflask/app.py:1256: headers = self._ma_plugin.converter.schema2parameters(
# type: ignore
[ 131.3s] 💭 (1601 chars) "Only one occurrence. So this is the right place.
Let's refine the fix.
```python
if headers_schema is not None..."
[ 131.3s] ✏️ edit_file (src/apiflask/app.py)
[ 131.5s] ✓ {'status': 'ok', 'filepath': 'src/apiflask/app.py', 'occurrences': 1, 'strategy': 'exact', 'diff': "---
a/src/apiflask/a…
[ 140.4s] 💭 (62 chars) "Now let's run the reproduction script again to verify the fix."
[ 140.4s] 🔧 run_command (29 lines) python3 - <<'PY'
[ 140.8s] → Status code: 200
[ 163.2s] 💭 (1001 chars) "The validation is now successful.
I should check if there are any other things in `src/apiflask/app.py` that use `schem..."
[ 163.2s] 🔧 run_command grep -rn "['headers']" /workspace/src/apiflask
[ 163.3s] → /workspace/src/apiflask/fields.py:1:# Field aliases were skipped (e.g., Str, Int, Url, etc.)
[ 171.2s] 💭 (188 chars) "Wait, my `grep` for `['headers']` returned a lot of noise and probably didn't match what I
wanted because I didn't escap..."
[ 171.2s] 🔧 run_command grep -rn "headers" /workspace/src/apiflask | grep "responses"
[ 171.2s] → /workspace/src/apiflask/app.py:1259: operation['responses'][status_code]['headers'] = {
[ 178.8s] 💭 (327 chars) "Okay, so it seems my change in `app.py` is the only place where response headers are being
added to the OpenAPI spec.
I..."
[ 178.8s] 🔧 run_command grep -rn "_add_response" /workspace/src/apiflask
[ 178.8s] → /workspace/src/apiflask/app.py:993: self._add_response(
[ 186.5s] 💭 (224 chars) "Most of these calls seem to be internal wrappers around `_add_response` and
`_add_response_with_schema`. Both of these e..."
[ 186.5s] 📖 read_file (src/apiflask/app.py)
[ 186.5s] ✓ {'status': 'ok', 'filepath': 'src/apiflask/app.py', 'content': ' def _add_response(\n self,\n
operation…
[ 192.5s] 💭 (275 chars) "Yes, the fix is correctly applied in `_add_response`. Everything else should be fine.
Let's do one last check: are ther..."
[ 192.5s] 🔧 run_command grep -rn "headers" /workspace/src/apiflask | grep "operation"
[ 192.6s] → /workspace/src/apiflask/app.py:1259: operation['responses'][status_code]['headers'] = {
[ 198.9s] 💭 (231 chars) "Still just that one place.
I've reproduced the issue, implemented a fix, and verified the fix with the reproduction scr..."
[ 198.9s] 🔧 run_command git status --short && git diff
[ 199.0s] → M src/apiflask/app.py
[ 201.4s] 💭 (98 chars) "The diff looks correct and minimal. No untracked files. No changes to tests.
I'm ready to submit."
[ 201.4s] 🤖 submit_patch
[ 201.5s] → submit_patch: {"status": "ok", "patch_size": 574, "files_changed": 1}
[ 213.0s] 💭 (329 chars) "I have completed the task. I identified the root cause (inclusion of `name` and `in` fields
in the `Header` object of th..."
[ 213.0s] ✅ Agent finished: The issue was caused by the `headers` option in the `@output` decorator including `name`
and `in` fields in the generated OpenAPI Specification for responses, which is forbidden for OAS versions 3.0.0...
Native result row
{
"agent_error": null,
"duration_seconds": 228.29,
"error": null,
"grade": {
"collected_tests": 5,
"competition_junit_ok": true,
"error": null,
"required_issues_count": 0,
"resolved": true,
"status_counts": {
"PASSED": 5
},
"strict_clean_patch": true,
"test_exit_code": 0
},
"instance_id": "apiflask__apiflask-632",
"pass_idx": 0,
"patch_chars": 574,
"phase1_seconds": 226.0,
"repo": "apiflask/apiflask",
"request_log_path": "/kaggle-root/working/r31/rollouts_X/requests/apiflask__apiflask-632__p0__r4.jsonl",
"resolved": true,
"rollout_idx": 4,
"run_key": "apiflask__apiflask-632__p0__r4",
"strict_clean_patch": true,
"tool_calls": 12,
"total_llm_calls": 14,
"trace_path": "/kaggle-root/working/r31/rollouts_X/traces/trace_apiflask__apiflask-632__p0__r4.json"
}