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fix(blocks/firecrawl): yield declared json_data output for JSON scrape format#13401

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fix(blocks/firecrawl): yield declared json_data output for JSON scrape format#13401
ly-wang19 wants to merge 1 commit into
Significant-Gravitas:devfrom
ly-wang19:fix/firecrawl-json-output-name

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Background

The Firecrawl Scrape and Crawl blocks declare a json_data output, but the ScrapeFormat.JSON branch yields the undeclared name "json":

elif f == ScrapeFormat.JSON:
    yield "json", scrape_result.json   # "json" is not a declared output ("json_data" is)

Every other format branch yields its declared output name (markdown, html, raw_html, links, screenshot, screenshot_full_page, change_tracking). Because "json" isn't a declared output, Block._executeoutput_schema.validate_field("json", ...)get_field_schema raises ValueError: Invalid property name json (backend/blocks/_base.py). So selecting the JSON format crashes both blocks on a normal, first-class enum option (ScrapeFormat.JSON).

Changes

Yield the declared json_data output name in the ScrapeFormat.JSON branch of both firecrawl/scrape.py and firecrawl/crawl.py. The data access (scrape_result.json / data.json) is already correct — only the output key was wrong.

Testing

Verified by inspection: the Output schemas declare json_data (not json); all sibling format branches yield their declared names; and get_field_schema raises ValueError for any undeclared output name. Minimal one-line fix in each block, no behaviour change for other formats. (These two blocks currently ship without test_input/test_output fixtures, which is why the JSON path wasn't exercised by test_available_blocks — happy to add fixtures in a follow-up if preferred.)

@ly-wang19 ly-wang19 requested a review from a team as a code owner June 20, 2026 16:15
@ly-wang19 ly-wang19 requested review from 0ubbe and majdyz and removed request for a team June 20, 2026 16:15
@github-project-automation github-project-automation Bot moved this to 🆕 Needs initial review in AutoGPT development kanban Jun 20, 2026
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📥 Commits

Reviewing files that changed from the base of the PR and between 6dcf0e2 and 6dac4bc.

📒 Files selected for processing (2)
  • autogpt_platform/backend/backend/blocks/firecrawl/crawl.py
  • autogpt_platform/backend/backend/blocks/firecrawl/scrape.py
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🧰 Additional context used
📓 Path-based instructions (3)
autogpt_platform/backend/**/*.py

📄 CodeRabbit inference engine (.github/copilot-instructions.md)

autogpt_platform/backend/**/*.py: Use Python 3.11 (required; managed by Poetry via pyproject.toml) for backend development
Always run 'poetry run format' (Black + isort) before linting in backend development
Always run 'poetry run lint' (ruff) after formatting in backend development

autogpt_platform/backend/**/*.py: Use poetry run ... command for executing Python package dependencies
Use top-level imports only — avoid local/inner imports except for lazy imports of heavy optional dependencies like openpyxl
Use absolute imports with from backend.module import ... for cross-package imports; single-dot relative imports are acceptable for sibling modules within the same package; avoid double-dot relative imports
Do not use duck typing — avoid hasattr/getattr/isinstance for type dispatch; use typed interfaces/unions/protocols instead
Use Pydantic models over dataclass/namedtuple/dict for structured data
Do not use linter suppressors — no # type: ignore, # noqa, # pyright: ignore; fix the type/code instead
Prefer list comprehensions over manual loop-and-append patterns
Use early return with guard clauses first to avoid deep nesting
Use %s for deferred interpolation in debug log statements for efficiency; use f-strings elsewhere for readability (e.g., logger.debug("Processing %s items", count) vs logger.info(f"Processing {count} items"))
Sanitize error paths by using os.path.basename() in error messages to avoid leaking directory structure
Be aware of TOCTOU (Time-Of-Check-Time-Of-Use) issues — avoid check-then-act patterns for file access and credit charging
Use transaction=True for Redis pipelines to ensure atomicity on multi-step operations
Use max(0, value) guards for computed values that should never be negative
Keep files under ~300 lines; if a file grows beyond this, split by responsibility (extract helpers, models, or a sub-module into a new file)
Keep functions under ~40 lines; extract named helpers when a function grows longer
...

Files:

  • autogpt_platform/backend/backend/blocks/firecrawl/scrape.py
  • autogpt_platform/backend/backend/blocks/firecrawl/crawl.py
autogpt_platform/backend/backend/blocks/**/*.py

📄 CodeRabbit inference engine (.github/copilot-instructions.md)

autogpt_platform/backend/backend/blocks/**/*.py: Inherit from 'Block' base class with input/output schemas when adding new blocks in backend
Implement 'run' method with proper error handling in backend blocks
Generate block UUID using 'uuid.uuid4()' when creating new blocks in backend
Write tests alongside block implementation when adding new blocks in backend

autogpt_platform/backend/backend/blocks/**/*.py: For blocks handling files, use store_media_file() with return_format="for_local_processing" when processing with local tools (ffmpeg, MoviePy, PIL)
For blocks handling files, use store_media_file() with return_format="for_external_api" when sending content to external APIs (Replicate, OpenAI)
For blocks returning files, use store_media_file() with return_format="for_block_output" to enable auto-adaptation to execution context (workspace:// in CoPilot, data URI in graphs)
When creating new blocks, inherit from Block base class, define input/output schemas using BlockSchema, implement async run method, and generate unique block ID using uuid.uuid4()

Files:

  • autogpt_platform/backend/backend/blocks/firecrawl/scrape.py
  • autogpt_platform/backend/backend/blocks/firecrawl/crawl.py
autogpt_platform/{backend,autogpt_libs}/**/*.py

📄 CodeRabbit inference engine (AGENTS.md)

Format Python code with poetry run format

Files:

  • autogpt_platform/backend/backend/blocks/firecrawl/scrape.py
  • autogpt_platform/backend/backend/blocks/firecrawl/crawl.py
🧠 Learnings (17)
📚 Learning: 2026-02-05T04:11:00.596Z
Learnt from: ntindle
Repo: Significant-Gravitas/AutoGPT PR: 11796
File: autogpt_platform/backend/backend/blocks/video/concat.py:3-4
Timestamp: 2026-02-05T04:11:00.596Z
Learning: In autogpt_platform/backend/backend/blocks/**/*.py, when creating a new block, generate a UUID once with uuid.uuid4() and hard-code the resulting string as the block's id parameter. Do not call uuid.uuid4() at runtime; IDs must be constant across all imports and runs to ensure stability.

Applied to files:

  • autogpt_platform/backend/backend/blocks/firecrawl/scrape.py
  • autogpt_platform/backend/backend/blocks/firecrawl/crawl.py
📚 Learning: 2026-03-16T16:32:21.686Z
Learnt from: Abhi1992002
Repo: Significant-Gravitas/AutoGPT PR: 12417
File: autogpt_platform/backend/backend/blocks/agent_mail/pods.py:62-74
Timestamp: 2026-03-16T16:32:21.686Z
Learning: In autogpt_platform/backend/backend/blocks/, the Block base class execute() already wraps run() in a try/except to convert uncaught exceptions into BlockExecutionError/BlockUnknownError. Do not add per-block try/except in individual block run() methods, as this is not the established pattern (e.g., Gmail, Slack, Todoist blocks omit it). Only use explicit try/except within blocks that need to distinguish between success and error yield paths inside a generator (e.g., attachment blocks). This guidance applies to all Python files under autogpt_platform/backend/backend/blocks/ and similar block implementations; avoid duplicating error handling in run() unless a block requires generator-based branching.

Applied to files:

  • autogpt_platform/backend/backend/blocks/firecrawl/scrape.py
  • autogpt_platform/backend/backend/blocks/firecrawl/crawl.py
📚 Learning: 2026-04-23T12:55:26.122Z
Learnt from: majdyz
Repo: Significant-Gravitas/AutoGPT PR: 12893
File: autogpt_platform/backend/backend/blocks/ayrshare/post_to_tiktok.py:24-24
Timestamp: 2026-04-23T12:55:26.122Z
Learning: Cost billing via the cost(*costs) decorator is applied at input-evaluation time (before a block’s run() executes). Therefore, mutating input_data inside run() will not change billing. When a block’s billing depends on a field plus URL/sniff-derived signals, treat the explicitly declared billing field (e.g., is_video) as the only billing source—set it correctly before run() (or in the code path that occurs before the decorator evaluates input_data). This should be checked for all blocks under autogpt_platform/backend/backend/blocks/ so billing signals are not mistakenly assumed to update during run().

Applied to files:

  • autogpt_platform/backend/backend/blocks/firecrawl/scrape.py
  • autogpt_platform/backend/backend/blocks/firecrawl/crawl.py
📚 Learning: 2026-02-26T17:02:22.448Z
Learnt from: Pwuts
Repo: Significant-Gravitas/AutoGPT PR: 12211
File: .pre-commit-config.yaml:160-179
Timestamp: 2026-02-26T17:02:22.448Z
Learning: Keep the pre-commit hook pattern broad for autogpt_platform/backend to ensure OpenAPI schema changes are captured. Do not narrow to backend/api/ alone, since the generated schema depends on Pydantic models across multiple directories (backend/data/, backend/blocks/, backend/copilot/, backend/integrations/, backend/util/). Narrowing could miss schema changes and cause frontend type desynchronization.

Applied to files:

  • autogpt_platform/backend/backend/blocks/firecrawl/scrape.py
  • autogpt_platform/backend/backend/blocks/firecrawl/crawl.py
📚 Learning: 2026-03-05T15:42:08.207Z
Learnt from: ntindle
Repo: Significant-Gravitas/AutoGPT PR: 12297
File: .claude/skills/backend-check/SKILL.md:14-16
Timestamp: 2026-03-05T15:42:08.207Z
Learning: In Python files under autogpt_platform/backend (recursively), rely on poetry run format to perform formatting (Black + isort) and linting (ruff). Do not run poetry run lint as a separate step after poetry run format, since format already includes linting checks.

Applied to files:

  • autogpt_platform/backend/backend/blocks/firecrawl/scrape.py
  • autogpt_platform/backend/backend/blocks/firecrawl/crawl.py
📚 Learning: 2026-03-16T16:30:11.452Z
Learnt from: Abhi1992002
Repo: Significant-Gravitas/AutoGPT PR: 12417
File: autogpt_platform/backend/backend/blocks/agent_mail/threads.py:80-102
Timestamp: 2026-03-16T16:30:11.452Z
Learning: In autogpt_platform/backend/backend/blocks/ (and related blocks under autogpt_platform/backend/backend/blocks/), do not add try/except blocks around a block's run() method for standard error propagation. The block executor framework (backend/executor/manager.py) catches uncaught exceptions from run() and emits them on the 'error' output. Only add explicit try/except blocks when you need to control partial outputs in failure cases (e.g., certain outputs must not be yielded on error, as in attachment blocks). This is the standard pattern across the codebase; apply it broadly to blocks' run() implementations.

Applied to files:

  • autogpt_platform/backend/backend/blocks/firecrawl/scrape.py
  • autogpt_platform/backend/backend/blocks/firecrawl/crawl.py
📚 Learning: 2026-03-16T16:30:23.196Z
Learnt from: Abhi1992002
Repo: Significant-Gravitas/AutoGPT PR: 12417
File: autogpt_platform/backend/backend/blocks/agent_mail/pods.py:62-74
Timestamp: 2026-03-16T16:30:23.196Z
Learning: In any Python file under autogpt_platform/backend/backend/blocks, do not add a try/except around run() solely for standard error handling. The block framework’s _execute() in _base.py already catches unhandled exceptions and re-raises as BlockExecutionError or BlockUnknownError. If you yield ("error", message), _execute() raises BlockExecutionError immediately, so the error port will not propagate downstream. Reserve explicit try/except for scenarios where you must control partial output (e.g., attachment blocks that must skip yielding content_base64 on failure).

Applied to files:

  • autogpt_platform/backend/backend/blocks/firecrawl/scrape.py
  • autogpt_platform/backend/backend/blocks/firecrawl/crawl.py
📚 Learning: 2026-03-16T16:30:11.452Z
Learnt from: Abhi1992002
Repo: Significant-Gravitas/AutoGPT PR: 12417
File: autogpt_platform/backend/backend/blocks/agent_mail/threads.py:80-102
Timestamp: 2026-03-16T16:30:11.452Z
Learning: Do not wrap synchronous AgentMail SDK calls with asyncio.to_thread() in blocks under autogpt_platform/backend/backend/blocks (and across the codebase). The block executor runs node execution in dedicated threads via asyncio.run_coroutine_threadsafe (see manager.py around lines ~745-752 and ~1079). The existing pattern avoids using asyncio.to_thread for SDK calls inside async run() methods, so maintain that approach and do not add to_thread usage in these code paths.

Applied to files:

  • autogpt_platform/backend/backend/blocks/firecrawl/scrape.py
  • autogpt_platform/backend/backend/blocks/firecrawl/crawl.py
📚 Learning: 2026-03-16T16:35:40.236Z
Learnt from: majdyz
Repo: Significant-Gravitas/AutoGPT PR: 12440
File: autogpt_platform/backend/backend/api/features/workflow_import.py:54-63
Timestamp: 2026-03-16T16:35:40.236Z
Learning: Avoid using the word 'competitor' in public-facing identifiers and text. Use neutral naming for API paths, model names, function names, and UI text. Examples: rename 'CompetitorFormat' to 'SourcePlatform', 'convert_competitor_workflow' to 'convert_workflow', '/competitor-workflow' to '/workflow'. Apply this guideline to files under autogpt_platform/backend and autogpt_platform/frontend.

Applied to files:

  • autogpt_platform/backend/backend/blocks/firecrawl/scrape.py
  • autogpt_platform/backend/backend/blocks/firecrawl/crawl.py
📚 Learning: 2026-03-31T15:37:38.626Z
Learnt from: majdyz
Repo: Significant-Gravitas/AutoGPT PR: 12623
File: autogpt_platform/backend/backend/copilot/tools/agent_generator/fixer.py:37-47
Timestamp: 2026-03-31T15:37:38.626Z
Learning: When validating/constructing Anthropic API model IDs in Significant-Gravitas/AutoGPT, allow the hyphen-separated Claude Opus 4.6 model ID `claude-opus-4-6` (it corresponds to `LlmModel.CLAUDE_4_6_OPUS` in `autogpt_platform/backend/backend/blocks/llm.py`). Do NOT require the dot-separated form in Anthropic contexts. Only OpenRouter routing variants should use the dot separator (e.g., `anthropic/claude-opus-4.6`); `claude-opus-4-6` should be treated as correct when passed to Anthropic, and flagged only if it’s used in the OpenRouter path where the dot form is expected.

Applied to files:

  • autogpt_platform/backend/backend/blocks/firecrawl/scrape.py
  • autogpt_platform/backend/backend/blocks/firecrawl/crawl.py
📚 Learning: 2026-04-15T02:43:36.890Z
Learnt from: ntindle
Repo: Significant-Gravitas/AutoGPT PR: 12780
File: autogpt_platform/backend/backend/copilot/tools/workspace_files.py:0-0
Timestamp: 2026-04-15T02:43:36.890Z
Learning: When reviewing Python exception handlers, do not flag `isinstance(e, X)` checks as dead/unreachable if the caught exception `X` is a subclass of the exception type being handled. For example, if `X` (e.g., `VirusScanError`) inherits from `ValueError` (directly or via an intermediate class) and it can be raised within an `except ValueError:` block, then `isinstance(e, X)` inside that handler is reachable and should not be treated as dead code.

Applied to files:

  • autogpt_platform/backend/backend/blocks/firecrawl/scrape.py
  • autogpt_platform/backend/backend/blocks/firecrawl/crawl.py
📚 Learning: 2026-05-23T05:29:43.085Z
Learnt from: majdyz
Repo: Significant-Gravitas/AutoGPT PR: 13200
File: autogpt_platform/backend/backend/executor/scheduler.py:590-593
Timestamp: 2026-05-23T05:29:43.085Z
Learning: When reviewing Python code that uses Pydantic discriminated/tagged unions (e.g., `Annotated[Union[...], Field(discriminator="kind")]`), recognize that using `isinstance(x, SomeVariantInfo)` to narrow the union is an intentional and correct runtime guard and should also enable static type narrowing in tools like Pyright. Do not recommend replacing such `isinstance`-based narrowing with `cast(...)` when the check already proves the variant at runtime.

Applied to files:

  • autogpt_platform/backend/backend/blocks/firecrawl/scrape.py
  • autogpt_platform/backend/backend/blocks/firecrawl/crawl.py
📚 Learning: 2026-04-22T11:46:04.431Z
Learnt from: majdyz
Repo: Significant-Gravitas/AutoGPT PR: 12881
File: autogpt_platform/backend/backend/copilot/config.py:0-0
Timestamp: 2026-04-22T11:46:04.431Z
Learning: Do not flag the Claude Sonnet 4.6 model ID as incorrect when it uses the project’s established hyphenated convention: `anthropic/claude-sonnet-4-6`. This hyphen form is the intentional, production convention and should be treated as valid (including in files like llm.py, blocks tests, reasoning.py, `_is_anthropic_model` tests, and config defaults). Note that OpenRouter also accepts the dot variant `anthropic/claude-sonnet-4.6`, so either form may be tolerated, but `anthropic/claude-sonnet-4-6` should be considered the standard to match project usage.

Applied to files:

  • autogpt_platform/backend/backend/blocks/firecrawl/scrape.py
  • autogpt_platform/backend/backend/blocks/firecrawl/crawl.py
📚 Learning: 2026-04-22T11:46:12.892Z
Learnt from: majdyz
Repo: Significant-Gravitas/AutoGPT PR: 12881
File: autogpt_platform/backend/backend/copilot/baseline/service.py:322-332
Timestamp: 2026-04-22T11:46:12.892Z
Learning: In this codebase (Significant-Gravitas/AutoGPT), OpenRouter-routed Anthropic model IDs should use the hyphen-separated convention (e.g., `anthropic/claude-sonnet-4-6`, `anthropic/claude-opus-4-6`). Although OpenRouter may accept both hyphen and dot variants, treat the hyphen-separated form as the intended, correct codebase-wide convention and do not flag it as an error. Only flag the dot-separated variant (e.g., `anthropic/claude-sonnet-4.6`) as incorrect when reviewing/validating model ID strings for OpenRouter-routed Anthropic models.

Applied to files:

  • autogpt_platform/backend/backend/blocks/firecrawl/scrape.py
  • autogpt_platform/backend/backend/blocks/firecrawl/crawl.py
📚 Learning: 2026-05-07T18:48:14.242Z
Learnt from: majdyz
Repo: Significant-Gravitas/AutoGPT PR: 13040
File: autogpt_platform/backend/backend/blocks/llm.py:0-0
Timestamp: 2026-05-07T18:48:14.242Z
Learning: In this repository, isort may split imports from the same module into separate blocks when some imports are aliased (e.g., `from module import X as Y`) and others are not. Preserve the two-block layout when it results from isort (such as keeping `from openai.types.chat import ChatCompletion as OpenAIChatCompletion` separate from non-aliased imports from `openai.types.chat`). Do not treat that split as a style issue during review; merging them into a single block can fail CI with `Imports are incorrectly sorted and/or formatted`.

Applied to files:

  • autogpt_platform/backend/backend/blocks/firecrawl/scrape.py
  • autogpt_platform/backend/backend/blocks/firecrawl/crawl.py
📚 Learning: 2026-05-26T14:24:34.866Z
Learnt from: Abhi1992002
Repo: Significant-Gravitas/AutoGPT PR: 13217
File: autogpt_platform/backend/backend/api/features/search/service.py:137-137
Timestamp: 2026-05-26T14:24:34.866Z
Learning: In the Significant-Gravitas/AutoGPT backend, treat `user_id` (an opaque UUID used only for correlation/tracing) as non-PII. Do not flag direct logging of `user_id` in `logger.warning`/`logger.info` statements as a PII exposure issue, as the established convention is to log `user_id` for tracing while reserving PII for fields like email or display name.

Applied to files:

  • autogpt_platform/backend/backend/blocks/firecrawl/scrape.py
  • autogpt_platform/backend/backend/blocks/firecrawl/crawl.py
📚 Learning: 2026-06-11T19:39:10.493Z
Learnt from: ntindle
Repo: Significant-Gravitas/AutoGPT PR: 13337
File: autogpt_platform/backend/backend/copilot/graphiti/reranker.py:0-0
Timestamp: 2026-06-11T19:39:10.493Z
Learning: In the Significant-Gravitas/AutoGPT Python backend, when calling the OpenAI Python client `chat.completions.create`, construct the `messages` payload using the concrete typed-dict variants from `openai.types.chat` (e.g., `ChatCompletionSystemMessageParam`, `ChatCompletionUserMessageParam`, etc.) rather than trying to instantiate `ChatCompletionMessageParam` directly. `ChatCompletionMessageParam` is a `Union` alias and is not constructible, so `ChatCompletionMessageParam(role=..., content=...)` should fail type checking. Build each message element with the appropriate concrete typed dict and then annotate the resulting list as `list[ChatCompletionMessageParam]` (e.g., `messages: list[ChatCompletionMessageParam] = [ChatCompletionSystemMessageParam(...), ...]`).

Applied to files:

  • autogpt_platform/backend/backend/blocks/firecrawl/scrape.py
  • autogpt_platform/backend/backend/blocks/firecrawl/crawl.py
🔇 Additional comments (2)
autogpt_platform/backend/backend/blocks/firecrawl/crawl.py (1)

117-117: LGTM!

autogpt_platform/backend/backend/blocks/firecrawl/scrape.py (1)

108-108: LGTM!


Walkthrough

Two single-line fixes in the Firecrawl integration: both FirecrawlCrawlBlock.run and FirecrawlScrapeBlock.run now yield JSON payloads under the key "json_data" instead of "json", matching each block's declared Output schema field name.

Changes

Firecrawl Output Key Alignment

Layer / File(s) Summary
Align json_data output key in crawl and scrape blocks
autogpt_platform/backend/backend/blocks/firecrawl/crawl.py, autogpt_platform/backend/backend/blocks/firecrawl/scrape.py
Both blocks previously yielded JSON payloads under the key "json"; corrected to "json_data" in each to match the Output.json_data schema field declared in both blocks.

Estimated code review effort

🎯 1 (Trivial) | ⏱️ ~2 minutes

Poem

🐇 A key named "json" hid out of sight,
The schema said "json_data" — that's right!
Two tiny lines swapped,
The mismatch was stopped,
Now crawl and scrape outputs align tight. ✨

🚥 Pre-merge checks | ✅ 4 | ❌ 1

❌ Failed checks (1 warning)

Check name Status Explanation Resolution
Docstring Coverage ⚠️ Warning Docstring coverage is 0.00% which is insufficient. The required threshold is 80.00%. Write docstrings for the functions missing them to satisfy the coverage threshold.
✅ Passed checks (4 passed)
Check name Status Explanation
Title check ✅ Passed The title accurately summarizes the main change: fixing the output key name from 'json' to 'json_data' in the Firecrawl blocks' JSON scrape format handling.
Description check ✅ Passed The description is thorough and directly related to the changeset, providing background on the bug, explaining the fix, and detailing verification steps.
Linked Issues check ✅ Passed Check skipped because no linked issues were found for this pull request.
Out of Scope Changes check ✅ Passed Check skipped because no linked issues were found for this pull request.

✏️ Tip: You can configure your own custom pre-merge checks in the settings.

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@codecov

codecov Bot commented Jun 20, 2026

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Codecov Report

❌ Patch coverage is 0% with 2 lines in your changes missing coverage. Please review.
✅ Project coverage is 74.22%. Comparing base (150514f) to head (6dac4bc).
⚠️ Report is 27 commits behind head on dev.

❌ Your patch check has failed because the patch coverage (0.00%) is below the target coverage (80.00%). You can increase the patch coverage or adjust the target coverage.

Additional details and impacted files
@@            Coverage Diff             @@
##              dev   #13401      +/-   ##
==========================================
- Coverage   74.31%   74.22%   -0.09%     
==========================================
  Files        2528     2531       +3     
  Lines      191018   191500     +482     
  Branches    18851    18937      +86     
==========================================
+ Hits       141959   142145     +186     
- Misses      44974    45243     +269     
- Partials     4085     4112      +27     
Flag Coverage Δ
platform-backend 81.75% <0.00%> (-0.04%) ⬇️
platform-frontend-e2e 31.24% <ø> (-0.04%) ⬇️

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Components Coverage Δ
Platform Backend 81.75% <0.00%> (-0.04%) ⬇️
Platform Frontend 46.33% <ø> (-0.24%) ⬇️
AutoGPT Libs ∅ <ø> (∅)
Classic AutoGPT 28.43% <ø> (ø)
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@ntindle

ntindle commented Jun 24, 2026

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/review

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Queued a review for PR #13401 at 6dac4bc.

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