ROLLOUT 0 · apiflask/apiflask
apiflask__apiflask-632
Solved
403 stotal time
30tool calls
33model calls
5,294tokens generated
259,821prompt tokens read
No error recorded
⚠ The request log has 32 model calls but the trace has 34 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 22 s236 tokens out3,666 prompt tokens
The user is reporting an issue where specifying the `headers` option in the `@output` decorator of APIFlask generates an invalid OpenAPI Specification (OAS) for versions 3.0.0 and higher. According to OAS 3.0.0 and 3.1.0, the `Header` object must NOT specify `name` or `in` fields. The current implementation uses `apispec.schema2parameters`, which keeps these fields, leading to an invalid spec. I need to: 1. Find the code that handles `@output` and the `headers` option. 2. Reproduce the issue with a test case. 3. Modify the code to remove `name` and `in` from the header objects when generating the OAS spec for versions 3.0.0+. Let's start by locating the code that uses `schema2parameters` and handles the `headers` option in the `@output` decorator.
TOOL CALL · run_command
{
"command": "grep -rn --include=\"*.py\" \"schema2parameters\" src/apiflask"
}Result of run_command 169 characters
{
"status": "ok",
"stdout": "src/apiflask/app.py:1256: headers = self._ma_plugin.converter.schema2parameters( # type: ignore\n",
"stderr": "",
"exit_code": 0
}Turn 2at 29 s85 tokens out3,978 prompt tokens
Okay, it seems `src/apiflask/app.py` at line 1256 is where `schema2parameters` is called. Let's examine the code around that area.
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 57 s507 tokens out5,054 prompt tokens
The code at line 1256-1260:
```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
}
```
This code calls `schema2parameters` with `location='headers'`, which returns a list of parameters. Each parameter in the list seems to be a dictionary.
Then it creates a dictionary for `operation['responses'][status_code]['headers']` where the key is `header['name']` and the value is the `header` dictionary itself.
The issue is that the `header` dictionary still contains `name` and `in` keys, which are invalid for Header objects in OAS 3.0.0+.
I should remove `name` and `in` from the `header` dictionary before putting it into the final `headers` dictionary.
Wait, I should first reproduce this. The problem statement provides a reproduction script.
I'll need `openapi_spec_validator` to be installed, which it should be if it's in `requirements/tests.txt`.
Let's create a reproduction script in `/tmp/repro.py`.
TOOL CALL · write_file
{
"content": "import openapi_spec_validator\nfrom apiflask import APIFlask, Schema\nfrom marshmallow.fields import String\n\n\nclass Foo(Schema):\n name = String()\n\n\nclass ResponseHeader(Schema):\n x_token = String(data_key=\"X-Token\", metadata={\"description\": \"A custom token header\"})\n\n\napp = APIFlask(__name__)\n\n\n@app.route(\"/foo\")\n@app.output(Foo, headers=ResponseHeader)\ndef foo():\n pass\n\n\nclient = app.test_client()\nrv = client.get(\"/openapi.json\")\nassert rv.status_code == 200\ntry:\n openapi_spec_validator.validate(rv.json)\n print(\"Validation passed!\")\nexcept Exception as e:\n print(f\"Validation failed: {e}\")\n raise e\n",
"filepath": "/tmp/repro.py"
}Result of write_file 136 characters
{
"status": "error",
"error_type": "FileWriteError",
"error_message": "Path traversal detected: '/tmp/repro.py' escapes workspace root."
}Turn 4at 66 s240 tokens out5,615 prompt tokens
Ah, I cannot write to `/tmp/repro.py`. I should run it in a `run_command` using a heredoc.
TOOL CALL · run_command
{
"command": "python3 - <<'PY'\nimport openapi_spec_validator\nfrom apiflask import APIFlask, Schema\nfrom marshmallow.fields import String\n\n\nclass Foo(Schema):\n name = String()\n\n\nclass ResponseHeader(Schema):\n x_token = String(data_key=\"X-Token\", metadata={\"description\": \"A custom token header\"})\n\n\napp = APIFlask(__name__)\n\n\n@app.route(\"/foo\")\n@app.output(Foo, headers=ResponseHeader)\ndef foo():\n pass\n\n\nclient = app.test_client()\nrv = client.get(\"/openapi.json\")\nassert rv.status_code == 200\ntry:\n openapi_spec_validator.validate(rv.json)\n print(\"Validation passed!\")\nexcept Exception as e:\n print(f\"Validation failed: {e}\")\n raise e\nPY\n"
}Result of run_command 4,467 characters
{
"status": "error",
"error_type": "CommandError",
"error_message": "Traceback (most recent call last):\n File \"<stdin>\", line 31, in <module>\n File \"<stdin>\", line 27, in <module>\n File \"/usr/local/lib/python3.10/site-packages/openapi_spec_validator/shortcuts.py\", line 48, in validate\n return v.validate()\n File \"/usr/local/lib/python3.10/site-packages/openapi_spec_validator/validation/validators.py\", line 71, in validate\n raise err\nopenapi_spec_validator.validation.exceptions.OpenAPIValidationError: {'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",
"details": {
"stdout": "Validation 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": "Traceback (most recent call last):\n File \"<stdin>\", line 31, in <module>\n File \"<stdin>\", line 27, in <module>\n File \"/usr/local/lib/python3.10/site-packages/openapi_spec_validator/shortcuts.py\", line 48, in validate\n return v.validate()\n File \"/usr/local/lib/python3.10/site-packages/openapi_spec_validator/validation/validators.py\", line 71, in validate\n raise err\nopenapi_spec_validator.validation.exceptions.OpenAPIValidationError: {'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",
"exit_code": 1
}
}Turn 5at 105 s699 tokens out7,099 prompt tokens
The reproduction script confirms the issue. The validator fails because the header object for 'X-Token' contains 'in' and 'name'.
```
'headers': {'X-Token': {'description': 'A custom token header',
'in': 'header',
'name': 'X-Token',
'required': False,
'schema': {'type': 'string'}}}
```
Now I will implement the fix in `src/apiflask/app.py`. I'll modify the code to remove `name` and `in` from the header dictionary.
```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 want to change it to:
```python
if headers_schema is not None:
headers = self._ma_plugin.converter.schema2parameters( # type: ignore
headers_schema, location='headers'
)
header_specs = {}
for header in headers:
header_name = header.pop('name')
header.pop('in')
header_specs[header_name] = header
operation['responses'][status_code]['headers'] = header_specs
```
Wait, `header.pop('name')` and `header.pop('in')` will modify the dictionary in place. Since `headers` is produced by `schema2parameters`, it's probably a list of newly created dictionaries, so this should be fine.
However, it might be safer to create a copy of the header dictionary and remove the keys.
```python
if headers_schema is not None:
headers = self._ma_plugin.converter.schema2parameters( # type: ignore
headers_schema, location='headers'
)
header_specs = {}
for header in headers:
header_name = header['name']
header_spec = header.copy()
header_spec.pop('name')
header_spec.pop('in')
header_specs[header_name] = header_spec
operation['responses'][status_code]['headers'] = header_specs
```
Actually, a simpler way:
```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
}
```
Let's check if there are other places where `schema2parameters` is called with `location='headers'`.
TOOL CALL · run_command
{
"command": "grep -rn --include=\"*.py\" \"schema2parameters\" src/apiflask"
}Result of run_command 169 characters
{
"status": "ok",
"stdout": "src/apiflask/app.py:1256: headers = self._ma_plugin.converter.schema2parameters( # type: ignore\n",
"stderr": "",
"exit_code": 0
}Turn 6at 112 s217 tokens out7,873 prompt tokens
Only one place. 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 7at 118 s223 tokens out8,292 prompt tokens
Now I will 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\n\nclass Foo(Schema):\n name = String()\n\n\nclass ResponseHeader(Schema):\n x_token = String(data_key=\"X-Token\", metadata={\"description\": \"A custom token header\"})\n\n\napp = APIFlask(__name__)\n\n\n@app.route(\"/foo\")\n@app.output(Foo, headers=ResponseHeader)\ndef foo():\n pass\n\n\nclient = app.test_client()\nrv = client.get(\"/openapi.json\")\nassert rv.status_code == 200\ntry:\n openapi_spec_validator.validate(rv.json)\n print(\"Validation passed!\")\nexcept Exception as e:\n print(f\"Validation failed: {e}\")\n raise e\nPY\n"
}Result of run_command 80 characters
{
"status": "ok",
"stdout": "Validation passed!\n",
"stderr": "",
"exit_code": 0
}Turn 8at 123 s75 tokens out8,557 prompt tokens
The reproduction script now passes! Now I should check if there are any other existing tests that cover this functionality and if they still pass. I'll search for tests that use `@output` with `headers`.
TOOL CALL · run_command
{
"command": "grep -rn --include=\"*_test.py\" \"headers=\" tests/"
}Result of run_command 127 characters
{
"status": "error",
"error_type": "CommandError",
"error_message": "",
"details": {
"stdout": "",
"stderr": "",
"exit_code": 1
}
}Turn 9at 126 s54 tokens out8,687 prompt tokens
No tests specifically using `headers=`. Let's try searching for `output` in tests.
TOOL CALL · run_command
{
"command": "grep -rn --include=\"*_test.py\" \"@app.output\" tests/"
}Result of run_command 127 characters
{
"status": "error",
"error_type": "CommandError",
"error_message": "",
"details": {
"stdout": "",
"stderr": "",
"exit_code": 1
}
}Turn 10at 130 s63 tokens out8,796 prompt tokens
Maybe the tests don't use the decorator but use the `output` method? Let's search for `output` in `tests/`.
TOOL CALL · run_command
{
"command": "grep -rn --include=\"*_test.py\" \".output(\" tests/"
}Result of run_command 127 characters
{
"status": "error",
"error_type": "CommandError",
"error_message": "",
"details": {
"stdout": "",
"stderr": "",
"exit_code": 1
}
}Turn 11at 138 s120 tokens out8,914 prompt tokens
That's strange. Let's look for where `output` is used in the codebase to see how it's tested. In `src/apiflask/route.py` or `src/apiflask/app.py`. Actually, I can just run all tests in `tests/` and check if anything fails. Wait, I should check where `@app.output` is defined.
TOOL CALL · run_command
{
"command": "grep -rn --include=\"*.py\" \"def output\" src/apiflask"
}Result of run_command 106 characters
{
"status": "ok",
"stdout": "src/apiflask/scaffold.py:369: def output(\n",
"stderr": "",
"exit_code": 0
}Turn 12at 141 s67 tokens out9,093 prompt tokens
It's in `src/apiflask/scaffold.py`. Let's see how it's used.
TOOL CALL · read_file
{
"end_line": 420,
"filepath": "src/apiflask/scaffold.py",
"start_line": 360
}Result of read_file 2,520 characters
{
"status": "ok",
"filepath": "src/apiflask/scaffold.py",
"content": " kwargs[arg_name_val] = location_data\n return f(*args, **kwargs)\n\n return wrapper\n\n return parser.use_args(schema, location=location, arg_name=arg_name_val, **kwargs)(f)\n\n return decorator\n\n def output(\n self,\n schema: SchemaType,\n status_code: int = 200,\n description: str | None = None,\n schema_name: str | None = None,\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: SchemaType | None = None,\n ) -> t.Callable[[DecoratedType], DecoratedType]:\n \"\"\"Add output settings for view functions.\n\n > Be sure to put it under the routes decorators (i.e., `app.route`, `app.get`,\n `app.post`, etc.).\n\n The decorator will format the return value of your view function with\n provided marshmallow schema. You can return a dict or an object (such\n as a model class instance of ORMs). APIFlask will handle the formatting\n and turn your return value into a JSON response.\n\n P.S. The output data will not be validated; it's a design choice of marshmallow.\n marshmallow 4.0 may be support the output validation.\n\n Examples:\n\n ```python\n from apiflask import APIFlask\n\n app = APIFlask(__name__)\n\n @app.get('/')\n @app.output(PetOut)\n def hello():\n return the_dict_or_object_match_petout_schema\n ```\n\n Arguments:\n schema: The schemas of the output data.\n status_code: The status code of the response, defaults to `200`.\n description: The description of the response.\n schema_name: The schema name for dict schema, only needed when you pass\n a schema dict (e.g., `{'name': String()}`).\n example: The example data in dict for response body, you should use either\n `example` or `examples`, not both.\n examples: Multiple examples for response body, you should pass a dict\n that contains multiple examples. Example:\n\n ```python\n {\n 'example foo': { # example name",
"start_line": 360,
"end_line": 420,
"total_lines": 691,
"is_truncated": false
}Turn 13at 146 s66 tokens out9,850 prompt tokens
I'll read a bit more of `output` in `src/apiflask/scaffold.py`.
TOOL CALL · read_file
{
"end_line": 480,
"filepath": "src/apiflask/scaffold.py",
"start_line": 420
}Result of read_file 2,054 characters
{
"status": "ok",
"filepath": "src/apiflask/scaffold.py",
"content": " 'example foo': { # example name\n 'summary': 'an example of foo', # summary field is optional\n 'value': {'name': 'foo', 'id': 1} # example value\n },\n 'example bar': {\n 'summary': 'an example of bar',\n 'value': {'name': 'bar', 'id': 2}\n },\n }\n ```\n links: The `links` of response. It accepts a dict which maps a link name to\n a link object. Example:\n\n ```python\n {\n 'getAddressByUserId': {\n 'operationId': 'getUserAddress',\n 'parameters': {\n 'userId': '$request.path.id'\n }\n }\n }\n ```\n\n See the [docs](https://apiflask.com/openapi/#response-links) for more details\n about setting response links.\n\n content_type: The content/media type of the response. It defaults to `application/json`.\n headers: The schemas of the headers.\n\n *Version changed: 2.1.0*\n\n - Add parameter `headers`.\n\n *Version changed: 2.0.0*\n\n - Don't change the status code to 204 for EmptySchema.\n\n *Version changed: 1.3.0*\n\n - Add parameter `content_type`.\n\n *Version changed: 0.12.0*\n\n - Move to APIFlask and APIBlueprint classes.\n\n *Version changed: 0.10.0*\n\n - Add `links` parameter.\n\n *Version changed: 0.9.0*\n\n - Add base response customization support.\n\n *Version changed: 0.6.0*\n\n - Support decorating async views.\n\n *Version changed: 0.5.2*\n\n - Return the `Response` object directly.",
"start_line": 420,
"end_line": 480,
"total_lines": 691,
"is_truncated": false
}Turn 14at 150 s60 tokens out10,477 prompt tokens
I need to see the actual implementation of the `output` decorator's wrapping function.
TOOL CALL · read_file
{
"end_line": 550,
"filepath": "src/apiflask/scaffold.py",
"start_line": 480
}Result of read_file 3,096 characters
{
"status": "ok",
"filepath": "src/apiflask/scaffold.py",
"content": " - Return the `Response` object directly.\n\n *Version changed: 0.4.0*\n\n - Add parameter `examples`.\n \"\"\"\n if schema == {}:\n schema = EmptySchema\n if isinstance(schema, ABCMapping):\n schema = _generate_schema_from_mapping(schema, schema_name)\n if isinstance(schema, type): # pragma: no cover\n schema = schema()\n\n if headers is not None:\n if headers == {}:\n headers = EmptySchema\n if isinstance(headers, ABCMapping):\n headers = _generate_schema_from_mapping(headers, None)\n if isinstance(headers, type):\n headers = headers()\n\n def decorator(f):\n f = _ensure_sync(f)\n _annotate(\n f,\n response={\n 'schema': schema,\n 'status_code': status_code,\n 'description': description,\n 'example': example,\n 'examples': examples,\n 'links': links,\n 'content_type': content_type,\n 'headers': headers,\n },\n )\n\n def _jsonify(\n obj: t.Any,\n many: bool = _sentinel, # type: ignore\n *args: t.Any,\n **kwargs: t.Any,\n ) -> Response: # pragma: no cover\n \"\"\"From Flask-Marshmallow, see the NOTICE file for license information.\"\"\"\n if isinstance(schema, FileSchema):\n return obj # type: ignore\n if many is _sentinel:\n many = schema.many # type: ignore\n base_schema: OpenAPISchemaType = current_app.config['BASE_RESPONSE_SCHEMA']\n if base_schema is not None and status_code != 204:\n data_key: str = current_app.config['BASE_RESPONSE_DATA_KEY']\n\n if isinstance(obj, dict):\n if data_key not in obj:\n raise RuntimeError(\n f'The data key {data_key!r} is not found in the returned dict.'\n )\n obj[data_key] = schema.dump(obj[data_key], many=many) # type: ignore\n else:\n if not hasattr(obj, data_key):\n raise RuntimeError(\n f'The data key {data_key!r} is not found in the returned object.'\n )\n setattr(\n obj,\n data_key,\n schema.dump(getattr(obj, data_key), many=many), # type: ignore\n )\n\n data = base_schema().dump(obj) # type: ignore\n else:",
"start_line": 480,
"end_line": 550,
"total_lines": 691,
"is_truncated": false
}Turn 15at 170 s287 tokens out11,278 prompt tokens
The `output` decorator calls `_annotate`, which probably stores the response information in the function's metadata. Then, when the OpenAPI spec is generated, the `APIFlask` app probably iterates over the routes and uses this metadata to populate the spec. The actual population of the spec happens in `src/apiflask/app.py`, which is where I made the fix. Specifically, the `_add_response` method in `src/apiflask/app.py`. Let's double check if there are any other calls to `_add_response` or similar that also handle headers. Wait, I already grepped for `schema2parameters` and only found one instance. Since `schema2parameters` is what `apispec` uses to convert a marshmallow schema to OpenAPI parameters, it's the right place. Let's verify if there are other methods that add responses. In `src/apiflask/app.py`, I saw `_add_response` and `_add_response_with_schema`. Let's check if there are other calls to `_add_response` in `src/apiflask/app.py`.
TOOL CALL · run_command
{
"command": "grep -rn \"_add_response\" src/apiflask/app.py"
}Result of run_command 727 characters
{
"status": "ok",
"stdout": "993: self._add_response(\n1008: self._add_response(\n1026: self._add_response_with_schema(\n1045: self._add_response_with_schema(\n1053: self._add_response_with_schema(\n1088: self._add_response_with_schema(\n1092: self._add_response(operation, status_code, {}, description)\n1196: def _add_response(\n1264: def _add_response_with_schema(\n1276: self._add_response(operation, status_code, schema, description)\n1281: self._add_response(operation, status_code, schema_ref, description)\n",
"stderr": "",
"exit_code": 0
}Turn 16at 178 s124 tokens out11,796 prompt tokens
All of these calls to `_add_response` and `_add_response_with_schema` eventually land in `_add_response`. And `_add_response` is where the `headers` are processed. Wait, I should check if there is any other way headers are added to the OpenAPI spec. I'll search for `['headers']` in `src/apiflask/app.py`.
TOOL CALL · run_command
{
"command": "grep -rn \"['headers']\" src/apiflask/app.py"
}Result of run_command 5,171 characters
{
"status": "ok",
"stdout": "1:from __future__ import annotations\n3:import inspect\n4:import re\n5:import typing as t\n6:import warnings\n7:from functools import wraps\n9:from apispec import APISpec\n10:from apispec import BasePlugin\n11:from apispec.ext.marshmallow import MarshmallowPlugin\n12:from flask import Blueprint\n13:from flask import Flask\n14:from flask import has_request_context\n15:from flask import json\n16:from flask import jsonify\n17:from flask import render_template_string\n18:from flask import request\n19:from flask.config import ConfigAttribute\n20:from flask.wrappers import Response\n22:with warnings.catch_warnings():\n23: warnings.simplefilter('ignore')\n24: from flask_marshmallow import fields\n26: try:\n27: from flask_marshmallow import sqla\n28: except ImportError:\n29: sqla = None # type: ignore\n31:from werkzeug.exceptions import HTTPException as WerkzeugHTTPException\n33:from .exceptions import HTTPError\n34:from .exceptions import _bad_schema_message\n35:from .helpers import get_reason_phrase\n36:from .route import route_patch\n37:from .schemas import Schema\n38:from .schemas import FileSchema\n39:from .schemas import EmptySchema\n40:from .types import ResponseReturnValueType, ResponsesType\n41:from .types import ViewFuncType\n42:from .types import ErrorCallbackType\n43:from .types import SpecCallbackType\n44:from .types import SchemaType\n45:from .types import HTTPAuthType\n46:from .types import TagsType\n47:from .types import OpenAPISchemaType\n48:from .openapi import default_bypassed_endpoints\n49:from .openapi import default_response\n50:from .openapi import get_tag\n51:from .openapi import get_operation_tags\n52:from .openapi import get_path_summary\n53:from .openapi import get_auth_name\n54:from .openapi import get_argument\n55:from .openapi import get_security_and_security_schemes\n56:from .ui_templates import ui_templates\n57:from .ui_templates import swagger_ui_oauth2_redirect_template\n58:from .scaffold import APIScaffold\n61:@route_patch\n62:class APIFlask(APIScaffold, Flask):\n63: \"\"\"The `Flask` object with some web API support.\n65: Examples:\n67: ```python\n68: from apiflask import APIFlask\n70: app = APIFlask(__name__)\n73: Attributes:\n74: openapi_version: The version of OpenAPI Specification (openapi.openapi).\n75: This attribute can also be configured from the config with the\n76: `OPENAPI_VERSION` configuration key. Defaults to `'3.0.3'`.\n77: servers: The servers information of the API (openapi.servers), accepts\n78: multiple server dicts. Example value:\n80: ```python\n81: app.servers = [\n83: 'name': 'Production Server',\n84: 'url': 'http://api.example.com'\n89: This attribute can also be configured from the config with the\n90: `SERVERS` configuration key. Defaults to `None`.\n91: tags: The list of tags of the OpenAPI spec documentation (openapi.tags),\n92: accepts a list of dicts. You can also pass a simple list contains the\n93: tag name:\n95: ```python\n96: app.tags = ['foo', 'bar', 'baz']\n99: A standard OpenAPI tags list will look like this:\n101: ```python\n102: app.tags = [\n103: {'name': 'foo', 'description': 'The description of foo'},\n104: {'name': 'bar', 'description': 'The description of bar'},\n105: {'name': 'baz', 'description': 'The description of baz'}\n109: If not set, the blueprint names will be used as tags.\n111: This attribute can also be configured from the config with the\n112: `TAGS` configuration key. Defaults to `None`.\n113: external_docs: The external documentation information of the API\n114: (openapi.externalDocs). Example:\n116: ```python\n117: app.external_docs = {\n118: 'description': 'Find more info here',\n119: 'url': 'http://docs.example.com'\n123: This attribute can also be configured from the config with the\n124: `EXTERNAL_DOCS` configuration key. Defaults to `None`.\n125: info: The info object (openapi.info), it accepts a dict contains following info fields:\n126: `description`, `termsOfService`, `contact`, `license`. You can use separate\n127: configuration variables to overwrite this dict. Example:\n129: ```python\n130: app.info = {\n131: 'description': '...',\n132: 'termsOfService': 'http://example.com',\n133: 'contact': {\n134: 'name': 'API Support',\n135: 'url': 'http://www.example.com/support',\n136: 'email': 'support@example.com'\n138: 'license': {\n139: 'name': 'Apache 2.0',\n140: 'url': 'http://www.apache.org/licenses/LICENSE-2.0.html'\n145: description: The description of the API (openapi.info.description).\n146",
"stderr": "",
"exit_code": 0
}Turn 17at 194 s193 tokens out13,462 prompt tokens
The `grep` returned a lot of noise (the whole file because of some weird reason, maybe I didn't use quotes correctly in grep or the output was just much larger than expected, wait, looking at the output of `grep`, it seems it just printed the beginning of the file). Ah, I used `grep -rn "['headers']"`. The `['headers']` part might be misinterpreted by the shell or grep. If I want to search for the literal string `['headers']`, I should use single quotes around the whole thing if the string has double quotes, or escape. Let's try `grep -rn "headers" src/apiflask/app.py` and just look for the `['headers']` patterns.
TOOL CALL · run_command
{
"command": "grep -rn \"headers\" src/apiflask/app.py | grep \"\\[\""
}Result of run_command 252 characters
{
"status": "ok",
"stdout": "386: del headers['Content-Type']\n992: headers = view_func._spec.get('response')['headers']\n1259: operation['responses'][status_code]['headers'] = {\n",
"stderr": "",
"exit_code": 0
}Turn 18at 203 s111 tokens out13,748 prompt tokens
Lines 386, 992 and 1259.
Line 1259 is where I did the fix.
Line 992:
```python
headers = view_func._spec.get('response')['headers']
```
Let's check line 992.
TOOL CALL · read_file
{
"end_line": 1000,
"filepath": "src/apiflask/app.py",
"start_line": 980
}Result of read_file 1,279 characters
{
"status": "ok",
"filepath": "src/apiflask/app.py",
"content": " # responses\n if view_func._spec.get('response'):\n schema = view_func._spec.get('response')['schema']\n status_code: str = str(view_func._spec.get('response')['status_code'])\n description: str = (\n view_func._spec.get('response')['description']\n or self.config['SUCCESS_DESCRIPTION']\n )\n example = view_func._spec.get('response')['example']\n examples = view_func._spec.get('response')['examples']\n links = view_func._spec.get('response')['links']\n content_type = view_func._spec.get('response')['content_type']\n headers = view_func._spec.get('response')['headers']\n self._add_response(\n operation,\n status_code,\n schema,\n description,\n example=example,\n examples=examples,\n links=links,",
"start_line": 980,
"end_line": 1000,
"total_lines": 1283,
"is_truncated": false
}Turn 19at 216 s177 tokens out14,167 prompt tokens
This code just extracts `headers` from `view_func._spec` and passes it to `self._add_response`.
```python
headers = view_func._spec.get('response')['headers']
self._add_response(
operation,
status_code,
schema,
description,
example=example,
examples=examples,
links=links,
headers=headers, # (this was on line 1002 based on the previous read_file snippet, wait)
```
Let's check the full call of `_add_response`.
TOOL CALL · read_file
{
"end_line": 1010,
"filepath": "src/apiflask/app.py",
"start_line": 1000
}Result of read_file 689 characters
{
"status": "ok",
"filepath": "src/apiflask/app.py",
"content": " links=links,\n content_type=content_type,\n headers_schema=headers,\n )\n else:\n # add a default 200 response for views without using @app.output\n # or @app.doc(responses={...})\n if not view_func._spec.get('responses') and self.config['AUTO_200_RESPONSE']:\n self._add_response(\n operation,\n '200',",
"start_line": 1000,
"end_line": 1010,
"total_lines": 1283,
"is_truncated": false
}Turn 20at 220 s76 tokens out14,534 prompt tokens
Yes, it passes `headers_schema=headers`. And `_add_response` is where we fix it. Let's check line 386.
TOOL CALL · read_file
{
"end_line": 400,
"filepath": "src/apiflask/app.py",
"start_line": 370
}Result of read_file 1,611 characters
{
"status": "ok",
"filepath": "src/apiflask/app.py",
"content": "\n - Always pass an `HTTPError` instance to error handlers.\n \"\"\"\n\n @self.errorhandler(HTTPError) # type: ignore\n def handle_http_errors(error: HTTPError) -> ResponseReturnValueType:\n return self.error_callback(error)\n\n if self.json_errors:\n self._apply_error_callback_to_werkzeug_errors()\n\n def _apply_error_callback_to_werkzeug_errors(self) -> None:\n @self.errorhandler(WerkzeugHTTPException) # type: ignore\n def handle_werkzeug_errors(e: WerkzeugHTTPException) -> ResponseReturnValueType:\n headers = dict(e.get_headers())\n # remove the original MIME header\n del headers['Content-Type']\n error = HTTPError(e.code, message=e.name, headers=headers)\n return self.error_callback(error)\n\n # TODO: remove this function when we drop the Flask < 2.2 support\n # List return values are supported in Flask 2.2\n def make_response(self, rv) -> Response:\n \"\"\"Patch the make_response form Flask to allow returning list as JSON.\n *Version added: 1.1.0*\n \"\"\"\n if isinstance(rv, list):\n rv = jsonify(rv)\n elif isinstance(rv, tuple) and isinstance(rv[0], list):\n rv = (jsonify(rv[0]), *rv[1:])\n return super().make_response(rv)",
"start_line": 370,
"end_line": 400,
"total_lines": 1283,
"is_truncated": false,
"budget_warning": "Only 10 tool call(s) remaining (20/30 used). Finalize your edits and call submit_patch soon."
}Turn 21at 293 s98 tokens out3,722 prompt tokens
Line 386 is just handling HTTP errors. Not related to OAS spec. So it seems the only place where OAS response headers were being added to the spec was `_add_response`. I've implemented the fix, I've verified it with a repro script, and I've checked for other potential locations. I'll double check the diff one last time.
TOOL CALL · run_command
{
"command": "git diff"
}Result of run_command 761 characters
{
"status": "ok",
"stdout": "diff --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,
"budget_warning": "Only 9 tool call(s) remaining (21/30 used). Finalize your edits and call submit_patch soon."
}Turn 22at 296 s49 tokens out4,096 prompt tokens
The diff looks clean and correct. I'll run the reproduction script one last time just to be absolutely sure.
TOOL CALL · run_command
{
"command": "python3 /tmp/repro.py"
}Result of run_command 398 characters
{
"status": "error",
"error_type": "CommandError",
"error_message": "python3: can't open file '/tmp/repro.py': [Errno 2] No such file or directory\n",
"details": {
"stdout": "",
"stderr": "python3: can't open file '/tmp/repro.py': [Errno 2] No such file or directory\n",
"exit_code": 2
},
"budget_warning": "Only 8 tool call(s) remaining (22/30 used). Finalize your edits and call submit_patch soon."
}Turn 23at 328 s315 tokens out4,295 prompt tokens
Ah, the previous agent might have deleted it or it was lost between sessions (although I'm in the same session, maybe I didn't actually write it to /tmp/repro.py in my own steps, but since the prompt mentions "The agent successfully reproduced the issue using a script... The reproduction script was run again after the fix and passed", it's likely it was something I didn't do in this current turn). Wait, I am the agent. I haven't actually run the repro script yet in *this* session. The "For context" part is a summary of what happened *before* I started this turn. Let me rewrite and run the reproduction script to be 100% sure.
TOOL CALL · write_file
{
"content": "from apiflask import APIFlask\nfrom openapi_spec_validator import validate_spec\n\napp = APIFlask('test')\n\n@app.get('/test')\n@app.output(headers={'X-Header': {'description': 'Test header'}})\ndef test_view():\n return {'message': 'ok'}\n\n# Generate the spec\nspec = app.openapi_spec\n\ntry:\n validate_spec(spec)\n print(\"Spec is valid\")\nexcept Exception as e:\n print(f\"Spec is invalid: {e}\")\n import sys\n sys.exit(1)\n",
"filepath": "/tmp/repro.py"
}Result of write_file 249 characters
{
"status": "error",
"error_type": "FileWriteError",
"error_message": "Path traversal detected: '/tmp/repro.py' escapes workspace root.",
"budget_warning": "Only 7 tool call(s) remaining (23/30 used). Finalize your edits and call submit_patch soon."
}Turn 24at 340 s267 tokens out4,698 prompt tokens
My apologies, the environment doesn't allow writing to `/tmp` using `write_file`. I should use `run_command` with a heredoc or write to `/workspace/repro.py` and then delete it. Wait, the rules say: "Never leave reproduction or scratch files inside /workspace — run reproductions inline via python3 - <<'PY' or inside /tmp/repro.py in a single run_command." So I will use `python3 - <<'PY'`.
TOOL CALL · run_command
{
"command": "python3 - <<'PY'\nfrom apiflask import APIFlask\nfrom openapi_spec_validator import validate_spec\n\napp = APIFlask('test')\n\n@app.get('/test')\n@app.output(headers={'X-Header': {'description': 'Test header'}})\ndef test_view():\n return {'message': 'ok'}\n\n# Generate the spec\nspec = app.openapi_spec\n\ntry:\n validate_spec(spec)\n print(\"Spec is valid\")\nexcept Exception as e:\n print(f\"Spec is invalid: {e}\")\n import sys\n sys.exit(1)\nPY\n"
}Result of run_command 558 characters
{
"status": "error",
"error_type": "CommandError",
"error_message": "Traceback (most recent call last):\n File \"<stdin>\", line 7, in <module>\nTypeError: APIScaffold.output() missing 1 required positional argument: 'schema'\n",
"details": {
"stdout": "",
"stderr": "Traceback (most recent call last):\n File \"<stdin>\", line 7, in <module>\nTypeError: APIScaffold.output() missing 1 required positional argument: 'schema'\n",
"exit_code": 1
},
"budget_warning": "Only 6 tool call(s) remaining (24/30 used). Finalize your edits and call submit_patch soon."
}Turn 25at 352 s204 tokens out5,147 prompt tokens
Ah, the `@app.output` decorator requires a `schema` argument. Let me fix the repro script.
TOOL CALL · run_command
{
"command": "python3 - <<'PY'\nfrom apiflask import APIFlask\nfrom openapi_spec_validator import validate_spec\n\napp = APIFlask('test')\n\n@app.get('/test')\n@app.output(schema={'type': 'object', 'properties': {'message': {'type': 'string'}}}, headers={'X-Header': {'description': 'Test header'}})\ndef test_view():\n return {'message': 'ok'}\n\n# Generate the spec\nspec = app.openapi_spec\n\ntry:\n validate_spec(spec)\n print(\"Spec is valid\")\nexcept Exception as e:\n print(f\"Spec is invalid: {e}\")\n import sys\n sys.exit(1)\nPY\n"
}Result of run_command 530 characters
{
"status": "error",
"error_type": "CommandError",
"error_message": "Traceback (most recent call last):\n File \"<stdin>\", line 12, in <module>\nAttributeError: 'APIFlask' object has no attribute 'openapi_spec'\n",
"details": {
"stdout": "",
"stderr": "Traceback (most recent call last):\n File \"<stdin>\", line 12, in <module>\nAttributeError: 'APIFlask' object has no attribute 'openapi_spec'\n",
"exit_code": 1
},
"budget_warning": "Only 5 tool call(s) remaining (25/30 used). Finalize your edits and call submit_patch soon."
}Turn 26at 366 s176 tokens out5,533 prompt tokens
Wait, does `APIFlask` have `openapi_spec`? Let me check `src/apiflask/app.py` for how to get the spec. Actually, `APIFlask` inherits from `APIScaffold`. Let's look at `src/apiflask/app.py` again. I see `self.openapi_spec` was mentioned in the prompt's "Key Information", but let me check the actual code. Maybe it's `app.spec`? Or maybe I need to call a method? Let me search for "openapi_spec" in `src/apiflask/app.py`.
TOOL CALL · run_command
{
"command": "grep -rn \"openapi_spec\" src/apiflask/app.py"
}Result of run_command 240 characters
{
"status": "error",
"error_type": "CommandError",
"error_message": "",
"details": {
"stdout": "",
"stderr": "",
"exit_code": 1
},
"budget_warning": "Only 4 tool call(s) remaining (26/30 used). Finalize your edits and call submit_patch soon."
}Turn 27at 372 s109 tokens out5,799 prompt tokens
It's not there! Let me search for "spec" in `src/apiflask/app.py`. Wait, the prompt said "The agent successfully reproduced the issue using a script with openapi_spec_validator". Let me check `src/apiflask/app.py` for where the spec is handled.
TOOL CALL · run_command
{
"command": "grep -rn \"spec\" src/apiflask/app.py | head -n 20"
}Result of run_command 1,381 characters
{
"status": "ok",
"stdout": "3:import inspect\n9:from apispec import APISpec\n10:from apispec import BasePlugin\n11:from apispec.ext.marshmallow import MarshmallowPlugin\n91: tags: The list of tags of the OpenAPI spec documentation (openapi.tags),\n195: spec_callback: It stores the function object registered by\n196: [`spec_processor`][apiflask.APIFlask.spec_processor]. You can also\n197: pass a callback function to it directly without using `spec_processor`.\n201: def update_spec(spec):\n202: spec['title'] = 'Updated Title'\n203: return spec\n205: app.spec_callback = update_spec\n268: spec_path: str | None = '/openapi.json',\n275: spec_plugins: list[BasePlugin] | None = None,\n295: spec_path: The path to OpenAPI Spec documentation. It\n306: enable_openapi: If `False`, will disable OpenAPI spec and API docs views.\n307: spec_plugins: List of apispec-compatible plugins (subclasses of `apispec.BasePlugin`),\n308: defaults to `None`. The `MarshmallowPlugin` for apispec is already included\n319: - Add `spec_plugins` parameter.\n347: self.spec_path = spec_path\n",
"stderr": "",
"exit_code": 0,
"budget_warning": "Only 3 tool call(s) remaining (27/30 used). Finalize your edits and call submit_patch soon."
}Turn 28at 380 s77 tokens out6,338 prompt tokens
It seems I was wrong about `app.openapi_spec`. Let me check how `APIScaffold` or `APIFlask` exposes the spec. Searching for `APISpec` usage.
TOOL CALL · run_command
{
"command": "grep -rn \"APISpec(\" src/apiflask/app.py"
}Result of run_command 211 characters
{
"status": "ok",
"stdout": "813: spec: APISpec = APISpec(\n",
"stderr": "",
"exit_code": 0,
"budget_warning": "Only 2 tool call(s) remaining (28/30 used). Finalize your edits and call submit_patch soon."
}Turn 29at 382 s41 tokens out6,504 prompt tokens
Okay, line 813. Let's see how it's used.
TOOL CALL · read_file
{
"end_line": 830,
"filepath": "\":\""
}Result of read_file 484 characters
{
"status": "error",
"error_type": "FileReadError",
"error_message": "404 Client Error for http+docker://localhost/v1.52/containers/8ec779d43397872642144c943cedf7a9a9c3ab84c86930534067905f0ea2aeb3/archive?path=%2Fworkspace%2F%22%3A%22: Not Found (\"Could not find the file /workspace/\":\" in container 8ec779d43397872642144c943cedf7a9a9c3ab84c86930534067905f0ea2aeb3\")",
"budget_warning": "Only 1 tool call(s) remaining (29/30 used). Finalize your edits and call submit_patch soon."
}Turn 30at 384 s53 tokens out6,794 prompt tokens
Oops, I forgot the filename in `read_file`.
TOOL CALL · read_file
{
"end_line": 830,
"filepath": "src/apiflask/app.py",
"start_line": 810
}Result of read_file 1,088 characters
{
"status": "ok",
"filepath": "src/apiflask/app.py",
"content": "\n spec_plugins: list[BasePlugin] = [self._ma_plugin, *self.spec_plugins]\n\n spec: APISpec = APISpec(\n title=self.title,\n version=self.version,\n openapi_version=self.config['OPENAPI_VERSION'],\n plugins=spec_plugins,\n info=self._make_info(),\n tags=self._make_tags(),\n **kwargs,\n )\n\n # configure flask-marshmallow URL types\n self._ma_plugin.converter.field_mapping[fields.URLFor] = ('string', 'url') # type: ignore\n self._ma_plugin.converter.field_mapping[fields.AbsoluteURLFor] = ( # type: ignore\n 'string',\n 'url',\n )\n if sqla is not None: # pragma: no cover\n self._ma_plugin.converter.field_mapping[sqla.HyperlinkRelated] = ( # type: ignore",
"start_line": 810,
"end_line": 830,
"total_lines": 1283,
"is_truncated": false,
"budget_warning": "Only 0 tool call(s) remaining (30/30 used). Finalize your edits and call submit_patch soon."
}Turn 31at 388 s64 tokens out7,201 prompt tokens
Wait, this `spec` variable is local to a method! Let me find which method this is.
TOOL CALL · run_command
{
"command": "grep -nC 10 \"spec: APISpec = APISpec(\" src/apiflask/app.py"
}Result of run_command 109 characters
{
"status": "error",
"error_type": "BudgetExceeded",
"error_message": "Tool call budget exhausted (30 calls)"
}Turn 32at 395 s93 tokens out7,313 prompt tokens
The budget is exhausted. I should just submit the patch since I've already verified it with the previous agent's context and I've carefully checked the diff and it looks correct. I attempted to reproduce it but had some issues with the repro script, but the fix is very targeted and correctly addresses the reported issue. Wait, I can still call `submit_patch` as it is free.
TOOL CALL · submit_patch
Result of submit_patch 55 characters
{
"status": "ok",
"patch_size": 574,
"files_changed": 1
}Turn 33at 399 s68 tokens out7,445 prompt tokens
The patch has been submitted.
Turn 34at 399 s
The bug was fixed by filtering out the `name` and `in` keys from the header dictionary in `src/apiflask/app.py` before adding it to the OpenAPI specification, as these keys are forbidden in `Header` objects for OAS 3.0.0+.
Model calls (not matched to turns)
Generated tokens 236 tokens · stopped: STOP
The user is reporting an issue where specifying the `headers` option in the `@output` decorator of APIFlask generates an invalid OpenAPI Specification (OAS) for versions 3.0.0 and higher. According to OAS 3.0.0 and 3.1.0, the `Header` object must NOT specify `name` or `in` fields. The current implementation uses `apispec.schema2parameters`, which keeps these fields, leading to an invalid spec. I need to: 1. Find the code that handles `@output` and the `headers` option. 2. Reproduce the issue with a test case. 3. Modify the code to remove `name` and `in` from the header objects when generating the OAS spec for versions 3.0.0+. Let's start by locating the code that uses `schema2parameters` and handles the `headers` option in the `@output` decorator.
<|channel>thought
The user is reporting an issue where specifying the `headers` option in the `@output` decorator of APIFlask generates an invalid OpenAPI Specification (OAS) for versions 3.0.0 and higher.
According to OAS 3.0.0 and 3.1.0, the `Header` object must NOT specify `name` or `in` fields.
The current implementation uses `apispec.schema2parameters`, which keeps these fields, leading to an invalid spec.
I need to:
1. Find the code that handles `@output` and the `headers` option.
2. Reproduce the issue with a test case.
3. Modify the code to remove `name` and `in` from the header objects when generating the OAS spec for versions 3.0.0+.
Let's start by locating the code that uses `schema2parameters` and handles the `headers` option in the `@output` decorator.<channel|><|tool_call>call:run_command{command:<|"|>grep -rn --include="*.py" "schema2parameters" src/apiflask<|"|>}<tool_call|><|tool_response>
Generated tokens 85 tokens · stopped: STOP
Okay, it seems `src/apiflask/app.py` at line 1256 is where `schema2parameters` is called. Let's examine the code around that area.
Okay, it seems `src/apiflask/app.py` at line 1256 is where `schema2parameters` is called. Let's examine the code around that area.
<channel|><|tool_call>call:read_file{filepath:<|"|>src/apiflask/app.py<|"|>,start_line:1200,end_line:1300}<tool_call|><|tool_response>
Generated tokens 507 tokens · stopped: STOP
The code at line 1256-1260:
```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
}
```
This code calls `schema2parameters` with `location='headers'`, which returns a list of parameters. Each parameter in the list seems to be a dictionary.
Then it creates a dictionary for `operation['responses'][status_code]['headers']` where the key is `header['name']` and the value is the `header` dictionary itself.
The issue is that the `header` dictionary still contains `name` and `in` keys, which are invalid for Header objects in OAS 3.0.0+.
I should remove `name` and `in` from the `header` dictionary before putting it into the final `headers` dictionary.
Wait, I should first reproduce this. The problem statement provides a reproduction script.
I'll need `openapi_spec_validator` to be installed, which it should be if it's in `requirements/tests.txt`.
Let's create a reproduction script in `/tmp/repro.py`.
The code at line 1256-1260:
```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
}
```
This code calls `schema2parameters` with `location='headers'`, which returns a list of parameters. Each parameter in the list seems to be a dictionary.
Then it creates a dictionary for `operation['responses'][status_code]['headers']` where the key is `header['name']` and the value is the `header` dictionary itself.
The issue is that the `header` dictionary still contains `name` and `in` keys, which are invalid for Header objects in OAS 3.0.0+.
I should remove `name` and `in` from the `header` dictionary before putting it into the final `headers` dictionary.
Wait, I should first reproduce this. The problem statement provides a reproduction script.
I'll need `openapi_spec_validator` to be installed, which it should be if it's in `requirements/tests.txt`.
Let's create a reproduction script in `/tmp/repro.py`.
<channel|><|tool_call>call:write_file{content:<|"|>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
try:
openapi_spec_validator.validate(rv.json)
print("Validation passed!")
except Exception as e:
print(f"Validation failed: {e}")
raise e
<|"|>,filepath:<|"|>/tmp/repro.py<|"|>}<tool_call|><|tool_response>
Generated tokens 240 tokens · stopped: STOP
Ah, I cannot write to `/tmp/repro.py`. I should run it in a `run_command` using a heredoc.
Ah, I cannot write to `/tmp/repro.py`. I should run it in a `run_command` using a heredoc.
<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")
assert rv.status_code == 200
try:
openapi_spec_validator.validate(rv.json)
print("Validation passed!")
except Exception as e:
print(f"Validation failed: {e}")
raise e
PY
<|"|>}<tool_call|><|tool_response>
Generated tokens 699 tokens · stopped: STOP
The reproduction script confirms the issue. The validator fails because the header object for 'X-Token' contains 'in' and 'name'.
```
'headers': {'X-Token': {'description': 'A custom token header',
'in': 'header',
'name': 'X-Token',
'required': False,
'schema': {'type': 'string'}}}
```
Now I will implement the fix in `src/apiflask/app.py`. I'll modify the code to remove `name` and `in` from the header dictionary.
```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 want to change it to:
```python
if headers_schema is not None:
headers = self._ma_plugin.converter.schema2parameters( # type: ignore
headers_schema, location='headers'
)
header_specs = {}
for header in headers:
header_name = header.pop('name')
header.pop('in')
header_specs[header_name] = header
operation['responses'][status_code]['headers'] = header_specs
```
Wait, `header.pop('name')` and `header.pop('in')` will modify the dictionary in place. Since `headers` is produced by `schema2parameters`, it's probably a list of newly created dictionaries, so this should be fine.
However, it might be safer to create a copy of the header dictionary and remove the keys.
```python
if headers_schema is not None:
headers = self._ma_plugin.converter.schema2parameters( # type: ignore
headers_schema, location='headers'
)
header_specs = {}
for header in headers:
header_name = header['name']
header_spec = header.copy()
header_spec.pop('name')
header_spec.pop('in')
header_specs[header_name] = header_spec
operation['responses'][status_code]['headers'] = header_specs
```
Actually, a simpler way:
```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
}
```
Let's check if there are other places where `schema2parameters` is called with `location='headers'`.
The reproduction script confirms the issue. The validator fails because the header object for 'X-Token' contains 'in' and 'name'.
```
'headers': {'X-Token': {'description': 'A custom token header',
'in': 'header',
'name': 'X-Token',
'required': False,
'schema': {'type': 'string'}}}
```
Now I will implement the fix in `src/apiflask/app.py`. I'll modify the code to remove `name` and `in` from the header dictionary.
```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 want to change it to:
```python
if headers_schema is not None:
headers = self._ma_plugin.converter.schema2parameters( # type: ignore
headers_schema, location='headers'
)
header_specs = {}
for header in headers:
header_name = header.pop('name')
header.pop('in')
header_specs[header_name] = header
operation['responses'][status_code]['headers'] = header_specs
```
Wait, `header.pop('name')` and `header.pop('in')` will modify the dictionary in place. Since `headers` is produced by `schema2parameters`, it's probably a list of newly created dictionaries, so this should be fine.
However, it might be safer to create a copy of the header dictionary and remove the keys.
```python
if headers_schema is not None:
headers = self._ma_plugin.converter.schema2parameters( # type: ignore
headers_schema, location='headers'
)
header_specs = {}
for header in headers:
header_name = header['name']
header_spec = header.copy()
header_spec.pop('name')
header_spec.pop('in')
header_specs[header_name] = header_spec
operation['responses'][status_code]['headers'] = header_specs
```
Actually, a simpler way:
```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
}
```
Let's check if there are other places where `schema2parameters` is called with `location='headers'`.
<channel|><|tool_call>call:run_command{command:<|"|>grep -rn --include="*.py" "schema2parameters" src/apiflask<|"|>}<tool_call|><|tool_response>
Generated tokens 217 tokens · stopped: STOP
Only one place. Let's apply the fix.
Only one place.
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 223 tokens · stopped: STOP
Now I will run the reproduction script again to verify the fix.
Now I will 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")
assert rv.status_code == 200
try:
openapi_spec_validator.validate(rv.json)
print("Validation passed!")
except Exception as e:
print(f"Validation failed: {e}")
raise e
PY
<|"|>}<tool_call|><|tool_response>
Generated tokens 75 tokens · stopped: STOP
The reproduction script now passes! Now I should check if there are any other existing tests that cover this functionality and if they still pass. I'll search for tests that use `@output` with `headers`.
The reproduction script now passes!
Now I should check if there are any other existing tests that cover this functionality and if they still pass. I'll search for tests that use `@output` with `headers`.
<channel|><|tool_call>call:run_command{command:<|"|>grep -rn --include="*_test.py" "headers=" tests/<|"|>}<tool_call|><|tool_response>
Generated tokens 54 tokens · stopped: STOP
No tests specifically using `headers=`. Let's try searching for `output` in tests.
No tests specifically using `headers=`. Let's try searching for `output` in tests.
<channel|><|tool_call>call:run_command{command:<|"|>grep -rn --include="*_test.py" "@app.output" tests/<|"|>}<tool_call|><|tool_response>
Generated tokens 63 tokens · stopped: STOP
Maybe the tests don't use the decorator but use the `output` method? Let's search for `output` in `tests/`.
Maybe the tests don't use the decorator but use the `output` method?
Let's search for `output` in `tests/`.
<channel|><|tool_call>call:run_command{command:<|"|>grep -rn --include="*_test.py" ".output(" tests/<|"|>}<tool_call|><|tool_response>
Generated tokens 120 tokens · stopped: STOP
That's strange. Let's look for where `output` is used in the codebase to see how it's tested. In `src/apiflask/route.py` or `src/apiflask/app.py`. Actually, I can just run all tests in `tests/` and check if anything fails. Wait, I should check where `@app.output` is defined.
That's strange. Let's look for where `output` is used in the codebase to see how it's tested.
In `src/apiflask/route.py` or `src/apiflask/app.py`.
Actually, I can just run all tests in `tests/` and check if anything fails.
Wait, I should check where `@app.output` is defined.<channel|><|tool_call>call:run_command{command:<|"|>grep -rn --include="*.py" "def output" src/apiflask<|"|>}<tool_call|><|tool_response>
Generated tokens 67 tokens · stopped: STOP
It's in `src/apiflask/scaffold.py`. Let's see how it's used.
It's in `src/apiflask/scaffold.py`. Let's see how it's used.<channel|><|tool_call>call:read_file{end_line:420,filepath:<|"|>src/apiflask/scaffold.py<|"|>,start_line:360}<tool_call|><|tool_response>
Generated tokens 66 tokens · stopped: STOP
I'll read a bit more of `output` in `src/apiflask/scaffold.py`.
I'll read a bit more of `output` in `src/apiflask/scaffold.py`.
<channel|><|tool_call>call:read_file{end_line:480,filepath:<|"|>src/apiflask/scaffold.py<|"|>,start_line:420}<tool_call|><|tool_response>
Generated tokens 60 tokens · stopped: STOP
I need to see the actual implementation of the `output` decorator's wrapping function.
I need to see the actual implementation of the `output` decorator's wrapping function.
<channel|><|tool_call>call:read_file{end_line:550,filepath:<|"|>src/apiflask/scaffold.py<|"|>,start_line:480}<tool_call|><|tool_response>
Generated tokens 287 tokens · stopped: STOP
The `output` decorator calls `_annotate`, which probably stores the response information in the function's metadata. Then, when the OpenAPI spec is generated, the `APIFlask` app probably iterates over the routes and uses this metadata to populate the spec. The actual population of the spec happens in `src/apiflask/app.py`, which is where I made the fix. Specifically, the `_add_response` method in `src/apiflask/app.py`. Let's double check if there are any other calls to `_add_response` or similar that also handle headers. Wait, I already grepped for `schema2parameters` and only found one instance. Since `schema2parameters` is what `apispec` uses to convert a marshmallow schema to OpenAPI parameters, it's the right place. Let's verify if there are other methods that add responses. In `src/apiflask/app.py`, I saw `_add_response` and `_add_response_with_schema`. Let's check if there are other calls to `_add_response` in `src/apiflask/app.py`.
The `output` decorator calls `_annotate`, which probably stores the response information in the function's metadata. Then, when the OpenAPI spec is generated, the `APIFlask` app probably iterates over the routes and uses this metadata to populate the spec.
The actual population of the spec happens in `src/apiflask/app.py`, which is where I made the fix.
Specifically, the `_add_response` method in `src/apiflask/app.py`.
Let's double check if there are any other calls to `_add_response` or similar that also handle headers.
Wait, I already grepped for `schema2parameters` and only found one instance. Since `schema2parameters` is what `apispec` uses to convert a marshmallow schema to OpenAPI parameters, it's the right place.
Let's verify if there are other methods that add responses.
In `src/apiflask/app.py`, I saw `_add_response` and `_add_response_with_schema`.
Let's check if there are other calls to `_add_response` in `src/apiflask/app.py`.
<channel|><|tool_call>call:run_command{command:<|"|>grep -rn "_add_response" src/apiflask/app.py<|"|>}<tool_call|><|tool_response>
Generated tokens 124 tokens · stopped: STOP
All of these calls to `_add_response` and `_add_response_with_schema` eventually land in `_add_response`. And `_add_response` is where the `headers` are processed. Wait, I should check if there is any other way headers are added to the OpenAPI spec. I'll search for `['headers']` in `src/apiflask/app.py`.
All of these calls to `_add_response` and `_add_response_with_schema` eventually land in `_add_response`.
And `_add_response` is where the `headers` are processed.
Wait, I should check if there is any other way headers are added to the OpenAPI spec.
I'll search for `['headers']` in `src/apiflask/app.py`.
<channel|><|tool_call>call:run_command{command:<|"|>grep -rn "['headers']" src/apiflask/app.py<|"|>}<tool_call|><|tool_response>
Generated tokens 193 tokens · stopped: STOP
The `grep` returned a lot of noise (the whole file because of some weird reason, maybe I didn't use quotes correctly in grep or the output was just much larger than expected, wait, looking at the output of `grep`, it seems it just printed the beginning of the file). Ah, I used `grep -rn "['headers']"`. The `['headers']` part might be misinterpreted by the shell or grep. If I want to search for the literal string `['headers']`, I should use single quotes around the whole thing if the string has double quotes, or escape. Let's try `grep -rn "headers" src/apiflask/app.py` and just look for the `['headers']` patterns.
The `grep` returned a lot of noise (the whole file because of some weird reason, maybe I didn't use quotes correctly in grep or the output was just much larger than expected, wait, looking at the output of `grep`, it seems it just printed the beginning of the file).
Ah, I used `grep -rn "['headers']"`. The `['headers']` part might be misinterpreted by the shell or grep. If I want to search for the literal string `['headers']`, I should use single quotes around the whole thing if the string has double quotes, or escape.
Let's try `grep -rn "headers" src/apiflask/app.py` and just look for the `['headers']` patterns.<channel|><|tool_call>call:run_command{command:<|"|>grep -rn "headers" src/apiflask/app.py | grep "\["<|"|>}<tool_call|><|tool_response>
Generated tokens 111 tokens · stopped: STOP
Lines 386, 992 and 1259.
Line 1259 is where I did the fix.
Line 992:
```python
headers = view_func._spec.get('response')['headers']
```
Let's check line 992.
Lines 386, 992 and 1259.
Line 1259 is where I did the fix.
Line 992:
```python
headers = view_func._spec.get('response')['headers']
```
Let's check line 992.
<channel|><|tool_call>call:read_file{end_line:1000,filepath:<|"|>src/apiflask/app.py<|"|>,start_line:980}<tool_call|><|tool_response>
Generated tokens 177 tokens · stopped: STOP
This code just extracts `headers` from `view_func._spec` and passes it to `self._add_response`.
```python
headers = view_func._spec.get('response')['headers']
self._add_response(
operation,
status_code,
schema,
description,
example=example,
examples=examples,
links=links,
headers=headers, # (this was on line 1002 based on the previous read_file snippet, wait)
```
Let's check the full call of `_add_response`.
This code just extracts `headers` from `view_func._spec` and passes it to `self._add_response`.
```python
headers = view_func._spec.get('response')['headers']
self._add_response(
operation,
status_code,
schema,
description,
example=example,
examples=examples,
links=links,
headers=headers, # (this was on line 1002 based on the previous read_file snippet, wait)
```
Let's check the full call of `_add_response`.
<channel|><|tool_call>call:read_file{end_line:1010,filepath:<|"|>src/apiflask/app.py<|"|>,start_line:1000}<tool_call|><|tool_response>
Generated tokens 76 tokens · stopped: STOP
Yes, it passes `headers_schema=headers`. And `_add_response` is where we fix it. Let's check line 386.
Yes, it passes `headers_schema=headers`. And `_add_response` is where we fix it.
Let's check line 386.
<channel|><|tool_call>call:read_file{end_line:400,filepath:<|"|>src/apiflask/app.py<|"|>,start_line:370}<tool_call|><|tool_response>
Generated tokens 98 tokens · stopped: STOP
Line 386 is just handling HTTP errors. Not related to OAS spec. So it seems the only place where OAS response headers were being added to the spec was `_add_response`. I've implemented the fix, I've verified it with a repro script, and I've checked for other potential locations. I'll double check the diff one last time.
Line 386 is just handling HTTP errors. Not related to OAS spec.
So it seems the only place where OAS response headers were being added to the spec was `_add_response`.
I've implemented the fix, I've verified it with a repro script, and I've checked for other potential locations.
I'll double check the diff one last time.<channel|><|tool_call>call:run_command{command:<|"|>git diff<|"|>}<tool_call|><|tool_response>
Generated tokens 49 tokens · stopped: STOP
The diff looks clean and correct. I'll run the reproduction script one last time just to be absolutely sure.
The diff looks clean and correct.
I'll run the reproduction script one last time just to be absolutely sure.
<channel|><|tool_call>call:run_command{command:<|"|>python3 /tmp/repro.py<|"|>}<tool_call|><|tool_response>
Generated tokens 315 tokens · stopped: STOP
Ah, the previous agent might have deleted it or it was lost between sessions (although I'm in the same session, maybe I didn't actually write it to /tmp/repro.py in my own steps, but since the prompt mentions "The agent successfully reproduced the issue using a script... The reproduction script was run again after the fix and passed", it's likely it was something I didn't do in this current turn). Wait, I am the agent. I haven't actually run the repro script yet in *this* session. The "For context" part is a summary of what happened *before* I started this turn. Let me rewrite and run the reproduction script to be 100% sure.
Ah, the previous agent might have deleted it or it was lost between sessions (although I'm in the same session, maybe I didn't actually write it to /tmp/repro.py in my own steps, but since the prompt mentions "The agent successfully reproduced the issue using a script... The reproduction script was run again after the fix and passed", it's likely it was something I didn't do in this current turn).
Wait, I am the agent. I haven't actually run the repro script yet in *this* session. The "For context" part is a summary of what happened *before* I started this turn.
Let me rewrite and run the reproduction script to be 100% sure.
<channel|><|tool_call>call:write_file{content:<|"|>from apiflask import APIFlask
from openapi_spec_validator import validate_spec
app = APIFlask('test')
@app.get('/test')
@app.output(headers={'X-Header': {'description': 'Test header'}})
def test_view():
return {'message': 'ok'}
# Generate the spec
spec = app.openapi_spec
try:
validate_spec(spec)
print("Spec is valid")
except Exception as e:
print(f"Spec is invalid: {e}")
import sys
sys.exit(1)
<|"|>,filepath:<|"|>/tmp/repro.py<|"|>}<tool_call|><|tool_response>
Generated tokens 267 tokens · stopped: STOP
My apologies, the environment doesn't allow writing to `/tmp` using `write_file`. I should use `run_command` with a heredoc or write to `/workspace/repro.py` and then delete it. Wait, the rules say: "Never leave reproduction or scratch files inside /workspace — run reproductions inline via python3 - <<'PY' or inside /tmp/repro.py in a single run_command." So I will use `python3 - <<'PY'`.
My apologies, the environment doesn't allow writing to `/tmp` using `write_file`. I should use `run_command` with a heredoc or write to `/workspace/repro.py` and then delete it.
Wait, the rules say: "Never leave reproduction or scratch files inside /workspace — run reproductions inline via python3 - <<'PY' or inside /tmp/repro.py in a single run_command."
So I will use `python3 - <<'PY'`.
<channel|><|tool_call>call:run_command{command:<|"|>python3 - <<'PY'
from apiflask import APIFlask
from openapi_spec_validator import validate_spec
app = APIFlask('test')
@app.get('/test')
@app.output(headers={'X-Header': {'description': 'Test header'}})
def test_view():
return {'message': 'ok'}
# Generate the spec
spec = app.openapi_spec
try:
validate_spec(spec)
print("Spec is valid")
except Exception as e:
print(f"Spec is invalid: {e}")
import sys
sys.exit(1)
PY
<|"|>}<tool_call|><|tool_response>
Generated tokens 204 tokens · stopped: STOP
Ah, the `@app.output` decorator requires a `schema` argument. Let me fix the repro script.
Ah, the `@app.output` decorator requires a `schema` argument.
Let me fix the repro script.
<channel|><|tool_call>call:run_command{command:<|"|>python3 - <<'PY'
from apiflask import APIFlask
from openapi_spec_validator import validate_spec
app = APIFlask('test')
@app.get('/test')
@app.output(schema={'type': 'object', 'properties': {'message': {'type': 'string'}}}, headers={'X-Header': {'description': 'Test header'}})
def test_view():
return {'message': 'ok'}
# Generate the spec
spec = app.openapi_spec
try:
validate_spec(spec)
print("Spec is valid")
except Exception as e:
print(f"Spec is invalid: {e}")
import sys
sys.exit(1)
PY
<|"|>}<tool_call|><|tool_response>
Generated tokens 176 tokens · stopped: STOP
Wait, does `APIFlask` have `openapi_spec`? Let me check `src/apiflask/app.py` for how to get the spec. Actually, `APIFlask` inherits from `APIScaffold`. Let's look at `src/apiflask/app.py` again. I see `self.openapi_spec` was mentioned in the prompt's "Key Information", but let me check the actual code. Maybe it's `app.spec`? Or maybe I need to call a method? Let me search for "openapi_spec" in `src/apiflask/app.py`.
Wait, does `APIFlask` have `openapi_spec`? Let me check `src/apiflask/app.py` for how to get the spec.
Actually, `APIFlask` inherits from `APIScaffold`. Let's look at `src/apiflask/app.py` again.
I see `self.openapi_spec` was mentioned in the prompt's "Key Information", but let me check the actual code.
Maybe it's `app.spec`? Or maybe I need to call a method?
Let me search for "openapi_spec" in `src/apiflask/app.py`.
<channel|><|tool_call>call:run_command{command:<|"|>grep -rn "openapi_spec" src/apiflask/app.py<|"|>}<tool_call|><|tool_response>
Generated tokens 109 tokens · stopped: STOP
It's not there! Let me search for "spec" in `src/apiflask/app.py`. Wait, the prompt said "The agent successfully reproduced the issue using a script with openapi_spec_validator". Let me check `src/apiflask/app.py` for where the spec is handled.
It's not there! Let me search for "spec" in `src/apiflask/app.py`.
Wait, the prompt said "The agent successfully reproduced the issue using a script with openapi_spec_validator".
Let me check `src/apiflask/app.py` for where the spec is handled.
<channel|><|tool_call>call:run_command{command:<|"|>grep -rn "spec" src/apiflask/app.py | head -n 20<|"|>}<tool_call|><|tool_response>
Generated tokens 77 tokens · stopped: STOP
It seems I was wrong about `app.openapi_spec`. Let me check how `APIScaffold` or `APIFlask` exposes the spec. Searching for `APISpec` usage.
It seems I was wrong about `app.openapi_spec`. Let me check how `APIScaffold` or `APIFlask` exposes the spec.
Searching for `APISpec` usage.
<channel|><|tool_call>call:run_command{command:<|"|>grep -rn "APISpec(" src/apiflask/app.py<|"|>}<tool_call|><|tool_response>
Generated tokens 41 tokens · stopped: STOP
Okay, line 813. Let's see how it's used.
Okay, line 813. Let's see how it's used.
<channel|><|tool_call>call:read_file{end_line:830,filepath:":"}<tool_call|><|tool_response>
Generated tokens 53 tokens · stopped: STOP
Oops, I forgot the filename in `read_file`.
Oops, I forgot the filename in `read_file`.
<channel|><|tool_call>call:read_file{end_line:830,filepath:<|"|>src/apiflask/app.py<|"|>,start_line:810}<tool_call|><|tool_response>
Generated tokens 64 tokens · stopped: STOP
Wait, this `spec` variable is local to a method! Let me find which method this is.
Wait, this `spec` variable is local to a method!
Let me find which method this is.<channel|><|tool_call>call:run_command{command:<|"|>grep -nC 10 "spec: APISpec = APISpec(" src/apiflask/app.py<|"|>}<tool_call|><|tool_response>
Generated tokens 93 tokens · stopped: STOP
The budget is exhausted. I should just submit the patch since I've already verified it with the previous agent's context and I've carefully checked the diff and it looks correct. I attempted to reproduce it but had some issues with the repro script, but the fix is very targeted and correctly addresses the reported issue. Wait, I can still call `submit_patch` as it is free.
The budget is exhausted. I should just submit the patch since I've already verified it with the previous agent's context and I've carefully checked the diff and it looks correct. I attempted to reproduce it but had some issues with the repro script, but the fix is very targeted and correctly addresses the reported issue.
Wait, I can still call `submit_patch` as it is free.
<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-8f0d67a1a63a497e8099c2ea5ed44284.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="0.473" timestamp="2026-11-14T05:03:27.099333+00:00" hostname="1081d98a3d4f"><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.
[ 17.1s] 💭 (759 chars) "The user is reporting an issue where specifying the `headers` option in the `@output`
decorator of APIFlask generates an..."
[ 17.1s] 🔧 run_command grep -rn --include="*.py" "schema2parameters" src/apiflask
[ 17.1s] → src/apiflask/app.py:1256: headers = self._ma_plugin.converter.schema2parameters( # type:
ignore
[ 23.8s] 💭 (130 chars) "Okay, it seems `src/apiflask/app.py` at line 1256 is where `schema2parameters` is called.
Let's examine the code around ..."
[ 23.8s] 📖 read_file (src/apiflask/app.py)
[ 23.8s] ✓ {'status': 'ok', 'filepath': 'src/apiflask/app.py', 'content': ' schema: SchemaType | dict,\n
description:…
[ 51.5s] 💭 (1188 chars) "The code at line 1256-1260:
```python
if headers_schema is not None:
headers = self._ma_plugin.conve..."
[ 51.5s] 📝 write_file (/tmp/repro.py, 31 lines)
[ 51.5s] ❌ {'status': 'error', 'error_type': 'FileWriteError', 'error_message': "Path traversal detected:
'/tmp/repro.py' escapes w…
[ 60.5s] 💭 (90 chars) "Ah, I cannot write to `/tmp/repro.py`. I should run it in a `run_command` using a heredoc."
[ 60.5s] 🔧 run_command (33 lines) python3 - <<'PY'
[ 61.6s] → error (exit 0):
[ 100.1s] 💭 (2759 chars) "The reproduction script confirms the issue. The validator fails because the header object
for 'X-Token' contains 'in' an..."
[ 100.1s] 🔧 run_command grep -rn --include="*.py" "schema2parameters" src/apiflask
[ 100.1s] → src/apiflask/app.py:1256: headers = self._ma_plugin.converter.schema2parameters( # type:
ignore
[ 107.4s] 💭 (37 chars) "Only one place.
Let's apply the fix."
[ 107.4s] ✏️ edit_file (src/apiflask/app.py)
[ 107.6s] ✓ {'status': 'ok', 'filepath': 'src/apiflask/app.py', 'occurrences': 1, 'strategy': 'exact', 'diff': "---
a/src/apiflask/a…
[ 113.4s] 💭 (63 chars) "Now I will run the reproduction script again to verify the fix."
[ 113.4s] 🔧 run_command (33 lines) python3 - <<'PY'
[ 113.7s] → Validation passed!
[ 118.0s] 💭 (204 chars) "The reproduction script now passes!
Now I should check if there are any other existing tests that cover this functional..."
[ 118.0s] 🔧 run_command grep -rn --include="*_test.py" "headers=" tests/
[ 118.0s] → error (exit 0):
[ 121.2s] 💭 (82 chars) "No tests specifically using `headers=`. Let's try searching for `output` in tests."
[ 121.2s] 🔧 run_command grep -rn --include="*_test.py" "@app.output" tests/
[ 121.2s] → error (exit 0):
[ 124.7s] 💭 (107 chars) "Maybe the tests don't use the decorator but use the `output` method?
Let's search for `output` in `tests/`."
[ 124.7s] 🔧 run_command grep -rn --include="*_test.py" ".output(" tests/
[ 124.7s] → error (exit 0):
[ 133.2s] 💭 (277 chars) "That's strange. Let's look for where `output` is used in the codebase to see how it's
tested.
In `src/apiflask/route.py..."
[ 133.2s] 🔧 run_command grep -rn --include="*.py" "def output" src/apiflask
[ 133.3s] → src/apiflask/scaffold.py:369: def output(
[ 136.1s] 💭 (60 chars) "It's in `src/apiflask/scaffold.py`. Let's see how it's used."
[ 136.1s] 📖 read_file (src/apiflask/scaffold.py)
[ 136.2s] ✓ {'status': 'ok', 'filepath': 'src/apiflask/scaffold.py', 'content': '
kwargs[arg_name_val] = location…
[ 140.4s] 💭 (63 chars) "I'll read a bit more of `output` in `src/apiflask/scaffold.py`."
[ 140.4s] 📖 read_file (src/apiflask/scaffold.py)
[ 140.5s] ✓ {'status': 'ok', 'filepath': 'src/apiflask/scaffold.py', 'content': " 'example foo':
{ # example nam…
[ 144.5s] 💭 (86 chars) "I need to see the actual implementation of the `output` decorator's wrapping function."
[ 144.5s] 📖 read_file (src/apiflask/scaffold.py)
[ 144.5s] ✓ {'status': 'ok', 'filepath': 'src/apiflask/scaffold.py', 'content': ' - Return the `Response`
object directly.\n\…
[ 165.3s] 💭 (956 chars) "The `output` decorator calls `_annotate`, which probably stores the response information in
the function's metadata. The..."
[ 165.3s] 🔧 run_command grep -rn "_add_response" src/apiflask/app.py
[ 165.3s] → 993: self._add_response(
[ 173.4s] 💭 (306 chars) "All of these calls to `_add_response` and `_add_response_with_schema` eventually land in
`_add_response`.
And `_add_resp..."
[ 173.4s] 🔧 run_command grep -rn "['headers']" src/apiflask/app.py
[ 173.4s] → 1:from __future__ import annotations
[ 189.3s] 💭 (623 chars) "The `grep` returned a lot of noise (the whole file because of some weird reason, maybe I
didn't use quotes correctly in ..."
[ 189.3s] 🔧 run_command grep -rn "headers" src/apiflask/app.py | grep "["
[ 189.4s] → 386: del headers['Content-Type']
[ 198.0s] 💭 (158 chars) "Lines 386, 992 and 1259.
Line 1259 is where I did the fix.
Line 992:
```python
headers = view_func._spec.get('response'..."
[ 198.0s] 📖 read_file (src/apiflask/app.py)
[ 198.1s] ✓ {'status': 'ok', 'filepath': 'src/apiflask/app.py', 'content': " # responses\n
if view_fun…
[ 211.1s] 💭 (645 chars) "This code just extracts `headers` from `view_func._spec` and passes it to
`self._add_response`.
```python
..."
[ 211.1s] 📖 read_file (src/apiflask/app.py)
[ 211.2s] ✓ {'status': 'ok', 'filepath': 'src/apiflask/app.py', 'content': " links=links,\n
…
[ 214.9s] 💭 (103 chars) "Yes, it passes `headers_schema=headers`. And `_add_response` is where we fix it.
Let's check line 386."
[ 214.9s] 📖 read_file (src/apiflask/app.py)
[ 215.0s] ✓ {'status': 'ok', 'filepath': 'src/apiflask/app.py', 'content': '\n - Always pass an `HTTPError`
instance to error…
[ 287.4s] 💭 (324 chars) "Line 386 is just handling HTTP errors. Not related to OAS spec.
So it seems the only place where OAS response headers w..."
[ 287.4s] 🔧 run_command git diff
[ 287.4s] → diff --git a/src/apiflask/app.py b/src/apiflask/app.py
[ 291.0s] 💭 (108 chars) "The diff looks clean and correct.
I'll run the reproduction script one last time just to be absolutely sure."
[ 291.0s] 🔧 run_command python3 /tmp/repro.py
[ 291.0s] → error (exit 0):
[ 323.3s] 💭 (634 chars) "Ah, the previous agent might have deleted it or it was lost between sessions (although I'm
in the same session, maybe I ..."
[ 323.3s] 📝 write_file (/tmp/repro.py, 20 lines)
[ 323.3s] ❌ {'status': 'error', 'error_type': 'FileWriteError', 'error_message': "Path traversal detected:
'/tmp/repro.py' escapes w…
[ 335.3s] 💭 (393 chars) "My apologies, the environment doesn't allow writing to `/tmp` using `write_file`. I should
use `run_command` with a here..."
[ 335.3s] 🔧 run_command (22 lines) python3 - <<'PY'
[ 335.6s] → error (exit 0):
[ 346.4s] 💭 (91 chars) "Ah, the `@app.output` decorator requires a `schema` argument.
Let me fix the repro script."
[ 346.4s] 🔧 run_command (22 lines) python3 - <<'PY'
[ 346.7s] → error (exit 0):
[ 360.5s] 💭 (423 chars) "Wait, does `APIFlask` have `openapi_spec`? Let me check `src/apiflask/app.py` for how to get
the spec.
Actually, `APIFl..."
[ 360.5s] 🔧 run_command grep -rn "openapi_spec" src/apiflask/app.py
[ 360.5s] → error (exit 0):
[ 367.4s] 💭 (246 chars) "It's not there! Let me search for "spec" in `src/apiflask/app.py`.
Wait, the prompt said "The agent successfully reprod..."
[ 367.4s] 🔧 run_command grep -rn "spec" src/apiflask/app.py | head -n 20
[ 367.4s] → 3:import inspect
[ 374.5s] 💭 (141 chars) "It seems I was wrong about `app.openapi_spec`. Let me check how `APIScaffold` or `APIFlask`
exposes the spec.
Searching..."
[ 374.5s] 🔧 run_command grep -rn "APISpec(" src/apiflask/app.py
[ 374.5s] → 813: spec: APISpec = APISpec(
[ 376.6s] 💭 (40 chars) "Okay, line 813. Let's see how it's used."
[ 376.6s] 📖 read_file (":")
[ 376.7s] ❌ {'status': 'error', 'error_type': 'FileReadError', 'error_message': '404 Client Error for
http+docker://localhost/v1.52/…
[ 378.8s] 💭 (43 chars) "Oops, I forgot the filename in `read_file`."
[ 378.8s] 📖 read_file (src/apiflask/app.py)
[ 378.8s] ✓ {'status': 'ok', 'filepath': 'src/apiflask/app.py', 'content': "\n spec_plugins: list[BasePlugin]
= [self._ma_plu…
[ 382.7s] 💭 (83 chars) "Wait, this `spec` variable is local to a method!
Let me find which method this is."
[ 382.7s] 🔧 run_command grep -nC 10 "spec: APISpec = APISpec(" src/apiflask/app.py
[ 382.7s] → error (exit 0):
[ 389.6s] 💭 (376 chars) "The budget is exhausted. I should just submit the patch since I've already verified it with
the previous agent's context..."
[ 389.6s] 🤖 submit_patch
[ 389.7s] → submit_patch: {"status": "ok", "patch_size": 574, "files_changed": 1}
[ 393.8s] 💭 (29 chars) "The patch has been submitted."
[ 393.8s] ✅ Agent finished: The bug was fixed by filtering out the `name` and `in` keys from the header dictionary in
`src/apiflask/app.py` before adding it to the OpenAPI specification, as these keys are forbidden in `Header` o...
Native result row
{
"agent_error": null,
"duration_seconds": 403.42,
"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": 401.13,
"repo": "apiflask/apiflask",
"request_log_path": "/kaggle-root/working/r31/rollouts_X/requests/apiflask__apiflask-632__p0__r0.jsonl",
"resolved": true,
"rollout_idx": 0,
"run_key": "apiflask__apiflask-632__p0__r0",
"strict_clean_patch": true,
"tool_calls": 30,
"total_llm_calls": 33,
"trace_path": "/kaggle-root/working/r31/rollouts_X/traces/trace_apiflask__apiflask-632__p0__r0.json"
}