feat(blocks): Implement Text Encode block #11857
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WalkthroughAdds a new TextEncoderBlock that encodes input strings to escape-sequence form using Python's Changes
Estimated code review effort🎯 3 (Moderate) | ⏱️ ~25 minutes Suggested labels
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- Add module, class, and method docstrings for 80%+ coverage - Add try/except error handling per CodeRabbit review - Use inherited error field from BlockSchemaOutput
PR Review for Text Encoder BlockThank you for implementing the Text Encoder block! I've reviewed the code changes and have the following feedback: What Looks Good
Issues Found1. Missing User Documentation (Critical)The PR adds a new block but does not include corresponding user-facing documentation. Based on the project structure, there should be a file at: The decoder block has documentation at 2. Inconsistent Error Handling (Minor)The TextEncoderBlock includes error handling that yields an "error" output, but the Output schema only defines Recommendation: Either add an VerificationSchema matches implementation: ✅
Action Items
Once the documentation is added, this PR will be ready to merge! The code implementation itself is solid. |
- Add encoder_block.md documentation - Remove error handling that yields undeclared output field - Match pattern used by TextDecoderBlock
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Actionable comments posted: 1
🤖 Fix all issues with AI agents
In `@docs/integrations/block-integrations/encoder_block.md`:
- Around line 12-35: The "Possible use case" section and markdown formatting
need updating: replace the current free-form example with exactly three bolded
use cases (use headings like **Use Case 1**, **Use Case 2**, **Use Case 3**)
each followed by a one-sentence practical description, ensure blank lines exist
above and below both the "## Inputs" and "## Outputs" tables, and add language
tags "text" to both fenced code blocks showing the original multi-line string
and the escaped result (use the example under the "Text Encoder" heading).
Locate these sections by the headers "## Inputs", "## Outputs", and "## Possible
use case" and the Text Encoder examples in the document and apply the changes.
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📒 Files selected for processing (2)
autogpt_platform/backend/backend/blocks/encoder_block.pydocs/integrations/block-integrations/encoder_block.md
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autogpt_platform/backend/**/*.py
📄 CodeRabbit inference engine (.github/copilot-instructions.md)
autogpt_platform/backend/**/*.py: Always run backend setup commands in order: poetry install, poetry run prisma migrate dev, poetry run prisma generate before backend development
Always run poetry run format (Black + isort) before poetry run lint (ruff) for backend code
Use Python 3.10-3.13 with Python 3.11 required for development (managed by Poetry via pyproject.toml)Run linting and formatting: use
poetry run format(Black + isort) to auto-fix, andpoetry run lint(ruff) to check remaining errors
Files:
autogpt_platform/backend/backend/blocks/encoder_block.py
autogpt_platform/backend/backend/blocks/**/*.py
📄 CodeRabbit inference engine (.github/copilot-instructions.md)
Agent blocks in backend/blocks/ must include: block definition with input/output schemas, execution logic with proper error handling, and tests validating functionality. Blocks inherit from Block base class with input/output schemas, implement run method, use uuid.uuid4() for block UUID, and be registered in block registry
Files:
autogpt_platform/backend/backend/blocks/encoder_block.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/encoder_block.py
autogpt_platform/backend/**
📄 CodeRabbit inference engine (autogpt_platform/CLAUDE.md)
autogpt_platform/backend/**: Install dependencies for backend usingpoetry install
Run database migrations usingpoetry run prisma migrate dev
Files:
autogpt_platform/backend/backend/blocks/encoder_block.py
docs/integrations/**/*.md
📄 CodeRabbit inference engine (docs/CLAUDE.md)
docs/integrations/**/*.md: Provide a technical explanation of how the block functions in the 'How It Works' section, including 1-2 paragraphs describing processing logic, validation, error handling, or edge cases, with code examples in backticks when helpful
Provide exactly 3 practical use cases in the 'Use Case' section, formatted with bold headings followed by short one-sentence descriptions
Files:
docs/integrations/block-integrations/encoder_block.md
docs/**/*.md
📄 CodeRabbit inference engine (docs/CLAUDE.md)
docs/**/*.md: Keep documentation descriptions concise and action-oriented, focusing on practical, real-world scenarios
Use consistent terminology with other blocks and avoid overly technical jargon unless necessary in documentation
Files:
docs/integrations/block-integrations/encoder_block.md
🧠 Learnings (5)
📚 Learning: 2025-11-25T08:49:03.583Z
Learnt from: CR
Repo: Significant-Gravitas/AutoGPT PR: 0
File: autogpt_platform/CLAUDE.md:0-0
Timestamp: 2025-11-25T08:49:03.583Z
Learning: Applies to autogpt_platform/backend/blocks/**/*.py : Inherit from `Block` base class and define input/output schemas using `BlockSchema` for backend blocks
Applied to files:
autogpt_platform/backend/backend/blocks/encoder_block.py
📚 Learning: 2025-11-25T08:48:33.246Z
Learnt from: CR
Repo: Significant-Gravitas/AutoGPT PR: 0
File: .github/copilot-instructions.md:0-0
Timestamp: 2025-11-25T08:48:33.246Z
Learning: Applies to autogpt_platform/backend/backend/blocks/**/*.py : Agent blocks in backend/blocks/ must include: block definition with input/output schemas, execution logic with proper error handling, and tests validating functionality. Blocks inherit from Block base class with input/output schemas, implement run method, use uuid.uuid4() for block UUID, and be registered in block registry
Applied to files:
autogpt_platform/backend/backend/blocks/encoder_block.py
📚 Learning: 2025-11-25T08:49:03.583Z
Learnt from: CR
Repo: Significant-Gravitas/AutoGPT PR: 0
File: autogpt_platform/CLAUDE.md:0-0
Timestamp: 2025-11-25T08:49:03.583Z
Learning: Applies to autogpt_platform/backend/blocks/**/*.py : Implement async `run` method in block classes for backend
Applied to files:
autogpt_platform/backend/backend/blocks/encoder_block.py
📚 Learning: 2025-11-25T08:49:03.583Z
Learnt from: CR
Repo: Significant-Gravitas/AutoGPT PR: 0
File: autogpt_platform/CLAUDE.md:0-0
Timestamp: 2025-11-25T08:49:03.583Z
Learning: Applies to autogpt_platform/backend/blocks/**/*.py : Create new blocks in `/backend/backend/blocks/` with provider configuration using `ProviderBuilder` in `_config.py`
Applied to files:
autogpt_platform/backend/backend/blocks/encoder_block.py
📚 Learning: 2026-01-22T11:37:20.219Z
Learnt from: CR
Repo: Significant-Gravitas/AutoGPT PR: 0
File: docs/CLAUDE.md:0-0
Timestamp: 2026-01-22T11:37:20.219Z
Learning: Applies to docs/integrations/**/*.md : Provide a technical explanation of how the block functions in the 'How It Works' section, including 1-2 paragraphs describing processing logic, validation, error handling, or edge cases, with code examples in backticks when helpful
Applied to files:
docs/integrations/block-integrations/encoder_block.md
🪛 markdownlint-cli2 (0.18.1)
docs/integrations/block-integrations/encoder_block.md
13-13: Tables should be surrounded by blank lines
(MD058, blanks-around-tables)
18-18: Tables should be surrounded by blank lines
(MD058, blanks-around-tables)
25-25: Fenced code blocks should have a language specified
(MD040, fenced-code-language)
33-33: Fenced code blocks should have a language specified
(MD040, fenced-code-language)
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🔇 Additional comments (3)
autogpt_platform/backend/backend/blocks/encoder_block.py (2)
56-68: Encoding logic looks solid and mirrors expected behavior.Clear, minimal implementation with the correct unicode escaping and output field.
38-54: The block is automatically discovered and registered via the dynamic loader in__init__.py, which recursively finds all Block subclasses in the backend/blocks/ directory. Additionally,TextEncoderBlockwill be tested automatically as part of the parameterized test intest_block.py:test_available_blocks(), which executes thetest_inputandtest_outputdefined in the block's__init__method. No additional registry wiring or dedicated test file is required.Likely an incorrect or invalid review comment.
docs/integrations/block-integrations/encoder_block.md (1)
9-10: Expand “How it works” with processing + validation/edge-case details.Right now it’s too brief and misses validation/error/edge-case notes. Consider something like:
✍️ Suggested doc update
## How it works -The Text Encoder examines the input text and identifies special characters. It then replaces these characters with their escape sequence equivalents, making the text safe for storage or transmission in formats that don't support raw special characters. +The Text Encoder takes the input string and applies Python’s `unicode_escape` encoding (equivalent to +`codecs.encode(text, "unicode_escape").decode("utf-8")`) to transform special characters like newlines, +tabs, and backslashes into their escaped forms. + +The block relies on the input schema to ensure the value is a string; non-string inputs are rejected by +validation, and any encoding failures surface as block errors. Non-ASCII characters are emitted as +`\uXXXX` sequences, which is useful for ASCII-only payloads.Based on learnings: "Provide a technical explanation of how the block functions in the 'How It Works' section, including 1-2 paragraphs describing processing logic, validation, error handling, or edge cases, with code examples in backticks when helpful".
✏️ Tip: You can disable this entire section by setting review_details to false in your review settings.
- Expand 'How it works' with technical details (unicode_escape encoding, validation, edge cases) - Add blank lines around tables (MD058) - Add language tags to fenced code blocks (MD040) - Replace 'Possible use case' with 3 structured use cases per docs guidelines - Separate example into its own section
PR Review: Text Encoder BlockThanks for implementing the Text Encoder block! This is a useful addition as the inverse of the Text Decoder. Here's my review: ✅ What's Good
📝 Suggestions for Improvement1. Inconsistent Section Heading
2. Decoder Documentation Issue (FYI)I noticed the decoder_block.md includes an "Error" output in its outputs table (line 21), but this doesn't exist in the actual block schema. The encoder documentation correctly omits this - good job! This is actually an issue with the decoder docs that should be fixed separately. 3. Use Case FormatThe current "Use Case" section lists three bullet points, then an "Example" section. Consider either:
The decoder block uses the format: "Possible use case" followed by a scenario description and example. For consistency, consider matching that pattern. 🎯 SummaryOverall, this is a solid implementation with accurate documentation. The main items are:
Great work! The block will be a useful addition for users working with JSON payloads, configs, and test fixtures. 🚀 |
- Move Text Encoder docs from standalone encoder_block.md into text.md (matches CATEGORY_FILE_MAP for TEXT category blocks) - Add Text Encoder to overview table in README.md - Remove orphaned encoder_block.md - Follows exact format expected by generate_block_docs.py
PR Review: Text Encoder BlockGreat work on adding the Text Encoder block! The implementation and documentation are well-structured and follow the existing patterns. What's GoodCode Quality
Documentation Structure
Schema Accuracy
Manual Content
Minor Suggestions
SummaryThe PR is ready to merge. Implementation is solid, documentation accurately reflects the code, and manual content provides real value to users. Recommendation: Approve (suggestions are optional improvements, not blockers) |
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Actionable comments posted: 1
🤖 Fix all issues with AI agents
In `@docs/integrations/block-integrations/text.md`:
- Around line 395-406: The Inputs and Outputs markdown tables under the "Text
Encoder" section (headers "### Inputs" and "### Outputs") have misaligned pipe
spacing triggering MD060; fix by aligning all pipes so columns are vertically
aligned using the "aligned" table style (ensure header, separator, and each row
use consistent spacing for each column so the pipes line up), e.g., adjust the
whitespace in the header row, separator row ("|---|---|---|---|") and every data
row so columns match widths and the pipes form straight vertical lines.
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docs/integrations/README.mddocs/integrations/block-integrations/text.md
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docs/integrations/**/*.md
📄 CodeRabbit inference engine (docs/CLAUDE.md)
docs/integrations/**/*.md: Provide a technical explanation of how the block functions in the 'How It Works' section, including 1-2 paragraphs describing processing logic, validation, error handling, or edge cases, with code examples in backticks when helpful
Provide exactly 3 practical use cases in the 'Use Case' section, formatted with bold headings followed by short one-sentence descriptions
Files:
docs/integrations/block-integrations/text.mddocs/integrations/README.md
docs/**/*.md
📄 CodeRabbit inference engine (docs/CLAUDE.md)
docs/**/*.md: Keep documentation descriptions concise and action-oriented, focusing on practical, real-world scenarios
Use consistent terminology with other blocks and avoid overly technical jargon unless necessary in documentation
Files:
docs/integrations/block-integrations/text.mddocs/integrations/README.md
🧠 Learnings (2)
📓 Common learnings
Learnt from: CR
Repo: Significant-Gravitas/AutoGPT PR: 0
File: docs/CLAUDE.md:0-0
Timestamp: 2026-01-22T11:37:20.219Z
Learning: Applies to docs/integrations/**/*.md : Provide a technical explanation of how the block functions in the 'How It Works' section, including 1-2 paragraphs describing processing logic, validation, error handling, or edge cases, with code examples in backticks when helpful
📚 Learning: 2026-01-22T11:37:20.219Z
Learnt from: CR
Repo: Significant-Gravitas/AutoGPT PR: 0
File: docs/CLAUDE.md:0-0
Timestamp: 2026-01-22T11:37:20.219Z
Learning: Applies to docs/integrations/**/*.md : Provide a technical explanation of how the block functions in the 'How It Works' section, including 1-2 paragraphs describing processing logic, validation, error handling, or edge cases, with code examples in backticks when helpful
Applied to files:
docs/integrations/block-integrations/text.mddocs/integrations/README.md
🪛 markdownlint-cli2 (0.20.0)
docs/integrations/block-integrations/text.md
399-399: Table column style
Table pipe does not align with header for style "aligned"
(MD060, table-column-style)
399-399: Table column style
Table pipe does not align with header for style "aligned"
(MD060, table-column-style)
399-399: Table column style
Table pipe does not align with header for style "aligned"
(MD060, table-column-style)
399-399: Table column style
Table pipe does not align with header for style "aligned"
(MD060, table-column-style)
405-405: Table column style
Table pipe does not align with header for style "aligned"
(MD060, table-column-style)
405-405: Table column style
Table pipe does not align with header for style "aligned"
(MD060, table-column-style)
405-405: Table column style
Table pipe does not align with header for style "aligned"
(MD060, table-column-style)
406-406: Table column style
Table pipe does not align with header for style "aligned"
(MD060, table-column-style)
406-406: Table column style
Table pipe does not align with header for style "aligned"
(MD060, table-column-style)
406-406: Table column style
Table pipe does not align with header for style "aligned"
(MD060, table-column-style)
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✏️ Tip: You can disable this entire section by setting review_details to false in your review settings.
- Add blank line after class docstring before nested class - Reformat test_input dict for proper line length
PR Review: Text Encoder Block ImplementationThis PR looks excellent! The implementation and documentation are thorough and well-structured. Here's my detailed review: ✅ Documentation AccuracyInput/Output Schema Match:
Block Description Accuracy:
✅ Manual Content Quality"How it works" section:
"Possible use case" section:
✅ Template ComplianceThe documentation follows the standard template correctly:
✅ Cross-references & Integration
✅ Code Quality NotesInverse Relationship Verified:
Test Cases:
Note: There's a subtle difference in the test outputs - the encoder keeps quotes unescaped while the decoder expects escaped quotes in input. This is correct because SummaryEverything looks great! The implementation is clean, the documentation is accurate and helpful, and the PR properly addresses the CodeRabbit feedback on formatting. The manual sections provide valuable context for users, and the block correctly implements the inverse of TextDecoderBlock. No issues found. This is ready to merge! 🎉 |
- Add error output field and try/except handling for encoding failures - Add comprehensive unit tests covering basic encoding, multiple escapes, unicode handling, empty strings, and error scenarios Co-authored-by: lif <19658300+majiayu000@users.noreply.github.com> Co-authored-by: Aryan Kaul <134673289+aryancodes1@users.noreply.github.com>
PR Review: Text Encoder Block and DocumentationI've reviewed the changes in this PR. Overall, this is a well-implemented feature with good test coverage and documentation. Here's my detailed feedback: ✅ Strengths
📝 Minor Observations
| Output | Description | Type |
|--------|-------------|------|
| encoded_text | The encoded text with special characters converted to escape sequences | str |
| error | Error message if the operation failed | str |
🎯 RecommendationApproved with minor suggestion: The output table order is a very minor consistency issue. Everything else looks excellent. The block is well-tested, properly documented, and ready to merge. Great work! Reviewed by Claude Code |
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Actionable comments posted: 1
🤖 Fix all issues with AI agents
In `@autogpt_platform/backend/backend/blocks/encoder_block.py`:
- Around line 32-38: The Output inner class in TextEncoderBlock redefines the
error field, removing BlockSchemaOutput's default and making error required;
remove the duplicate error attribute from class Output (or if explicit retention
is needed, set it to the same default "") so Output inherits BlockSchemaOutput's
optional error behavior and only populates error when encoding fails; locate
class Output in encoder_block.py and delete the error SchemaField definition (or
set error: str = SchemaField(description="...", default="")).
🧹 Nitpick comments (1)
autogpt_platform/backend/backend/blocks/test/test_text_encoder.py (1)
36-48: Assert the Unicode escapes directly and drop the inline comment.Line 46’s comment is redundant once the test validates the
\uescapes. Strengthen the assertion to verify Unicode escaping.As per coding guidelines: Avoid comments at all times unless the code is very complex.♻️ Proposed update
- # Unicode characters should be escaped as \uXXXX sequences - assert "\\n" in result[0][1] + assert "\\n" in result[0][1] + assert "\\u4e16" in result[0][1] + assert "\\u754c" in result[0][1]
📜 Review details
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Review profile: CHILL
Plan: Pro
Disabled knowledge base sources:
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📒 Files selected for processing (2)
autogpt_platform/backend/backend/blocks/encoder_block.pyautogpt_platform/backend/backend/blocks/test/test_text_encoder.py
🧰 Additional context used
📓 Path-based instructions (3)
autogpt_platform/backend/**/*.py
📄 CodeRabbit inference engine (.github/copilot-instructions.md)
autogpt_platform/backend/**/*.py: Always run backend setup commands in order: poetry install, poetry run prisma migrate dev, poetry run prisma generate before backend development
Always run poetry run format (Black + isort) before poetry run lint (ruff) for backend code
Use Python 3.10-3.13 with Python 3.11 required for development (managed by Poetry via pyproject.toml)
autogpt_platform/backend/**/*.py: Use FastAPI with async support for API endpoints in the backend
Use Prisma ORM for database operations with PostgreSQL
Use RabbitMQ for async task processing in the backend
Use JWT-based authentication with Supabase integration
Usepoetry run format(Black + isort) to format code andpoetry run lint(ruff) for linting in the backend
Use ClamAV integration for file upload security
autogpt_platform/backend/**/*.py: Format Python code withpoetry run format
Runpoetry run test(runs pytest with a docker based postgres + prisma) before committing backend changes
Files:
autogpt_platform/backend/backend/blocks/encoder_block.pyautogpt_platform/backend/backend/blocks/test/test_text_encoder.py
autogpt_platform/backend/backend/blocks/**/*.py
📄 CodeRabbit inference engine (.github/copilot-instructions.md)
Agent blocks in backend/blocks/ must include: block definition with input/output schemas, execution logic with proper error handling, and tests validating functionality. Blocks inherit from Block base class with input/output schemas, implement run method, use uuid.uuid4() for block UUID, and be registered in block registry
Files:
autogpt_platform/backend/backend/blocks/encoder_block.pyautogpt_platform/backend/backend/blocks/test/test_text_encoder.py
autogpt_platform/**/*.{ts,tsx,js,py}
📄 CodeRabbit inference engine (AGENTS.md)
Avoid comments at all times unless the code is very complex
Files:
autogpt_platform/backend/backend/blocks/encoder_block.pyautogpt_platform/backend/backend/blocks/test/test_text_encoder.py
🧠 Learnings (5)
📚 Learning: 2025-11-25T08:48:33.246Z
Learnt from: CR
Repo: Significant-Gravitas/AutoGPT PR: 0
File: .github/copilot-instructions.md:0-0
Timestamp: 2025-11-25T08:48:33.246Z
Learning: Applies to autogpt_platform/backend/backend/blocks/**/*.py : Agent blocks in backend/blocks/ must include: block definition with input/output schemas, execution logic with proper error handling, and tests validating functionality. Blocks inherit from Block base class with input/output schemas, implement run method, use uuid.uuid4() for block UUID, and be registered in block registry
Applied to files:
autogpt_platform/backend/backend/blocks/encoder_block.pyautogpt_platform/backend/backend/blocks/test/test_text_encoder.py
📚 Learning: 2026-01-28T18:29:18.328Z
Learnt from: CR
Repo: Significant-Gravitas/AutoGPT PR: 0
File: autogpt_platform/CLAUDE.md:0-0
Timestamp: 2026-01-28T18:29:18.328Z
Learning: Applies to autogpt_platform/backend/blocks/**/*.py : Inherit from `Block` base class and define input/output schemas using `BlockSchema` for new blocks
Applied to files:
autogpt_platform/backend/backend/blocks/encoder_block.py
📚 Learning: 2026-01-28T18:29:18.328Z
Learnt from: CR
Repo: Significant-Gravitas/AutoGPT PR: 0
File: autogpt_platform/CLAUDE.md:0-0
Timestamp: 2026-01-28T18:29:18.328Z
Learning: Applies to autogpt_platform/backend/blocks/**/*.py : Implement async `run` method in block implementations
Applied to files:
autogpt_platform/backend/backend/blocks/encoder_block.pyautogpt_platform/backend/backend/blocks/test/test_text_encoder.py
📚 Learning: 2026-01-28T18:29:18.328Z
Learnt from: CR
Repo: Significant-Gravitas/AutoGPT PR: 0
File: autogpt_platform/CLAUDE.md:0-0
Timestamp: 2026-01-28T18:29:18.328Z
Learning: Applies to autogpt_platform/backend/blocks/**/*.py : Follow the Block SDK Guide for adding new blocks, including provider configuration, schema definition, and testing
Applied to files:
autogpt_platform/backend/backend/blocks/encoder_block.py
📚 Learning: 2025-11-25T08:48:33.246Z
Learnt from: CR
Repo: Significant-Gravitas/AutoGPT PR: 0
File: .github/copilot-instructions.md:0-0
Timestamp: 2025-11-25T08:48:33.246Z
Learning: Applies to autogpt_platform/backend/blocks/test/**/*.py : For backend tests, use poetry run pytest for validation. Block tests: poetry run pytest backend/blocks/test/test_block.py -xvs. Specific block: poetry run pytest 'backend/blocks/test/test_block.py::test_available_blocks[BlockName]' -xvs. Use --snapshot-update when output changes and always review with git diff
Applied to files:
autogpt_platform/backend/backend/blocks/test/test_text_encoder.py
🧬 Code graph analysis (2)
autogpt_platform/backend/backend/blocks/encoder_block.py (2)
autogpt_platform/backend/backend/data/block.py (3)
BlockCategory(79-103)BlockSchemaInput(341-347)BlockSchemaOutput(350-358)autogpt_platform/backend/backend/data/model.py (1)
SchemaField(257-309)
autogpt_platform/backend/backend/blocks/test/test_text_encoder.py (1)
autogpt_platform/backend/backend/blocks/encoder_block.py (3)
TextEncoderBlock(15-77)run(60-77)Input(24-30)
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🔇 Additional comments (5)
autogpt_platform/backend/backend/blocks/encoder_block.py (4)
24-31: Input schema looks consistent.Clear field definition and placeholder for expected input.
40-43: Confirm the block id was generated viauuid.uuid4().Please verify this UUID literal was created with
uuid.uuid4(); regenerate if not.Based on learnings: Agent blocks in backend/blocks/ must include: block definition with input/output schemas, execution logic with proper error handling, and tests validating functionality. Blocks inherit from Block base class with input/output schemas, implement run method, use uuid.uuid4() for block UUID, and be registered in block registry.
60-77: Async run path and error handling are straightforward.Yielding
encoded_texton success anderroron failure is clear.
40-58: Block is automatically registered through auto-discovery—no explicit registry changes needed.The TextEncoderBlock is properly registered via the
load_all_blocks()mechanism inbackend/blocks/__init__.py, which dynamically imports all block modules and discovers Block subclasses. The block meets all validation requirements: valid UUID format, proper class name, input/output schemas, and error handling in therun()method (try-except on lines 71-77).autogpt_platform/backend/backend/blocks/test/test_text_encoder.py (1)
6-33: Basic, multi-escape, empty-string, and error-path tests look good.Coverage and assertions are clear for these cases.
Also applies to: 50-77
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PR Review: Text Encoder Block DocumentationI've reviewed the changes in this PR and overall it looks excellent! The documentation is well-written, accurate, and follows the standard template. Here's my detailed feedback: ✅ What's Working Well
🔍 Minor Observations (Not Issues)
✨ SummaryVerdict: This PR is ready to merge! 🎉 The documentation is accurate, well-written, and provides clear value to users. The manual sections show good understanding of the block's purpose and practical applications. Great work on maintaining consistency with existing block documentation while adding helpful technical details. No changes required. |
|
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✅ Tested and Approved
Unit Tests
All 5 encoder unit tests pass:
- Basic encoding
- Multiple escape sequences
- Unicode handling
- Empty string
- Error handling
Roundtrip Testing
- encode → decode: Works perfectly. Text with newlines, tabs, and special characters survives the roundtrip.
- decode → encode: Minor asymmetry with quote escaping (expected behavior per Python's
unicode_escapecodec — quotes pass through encoder but are interpreted by decoder).
UI Testing (Copilot)
Successfully tested the encode/decode chain in Copilot:
| Step | Block | Result |
|---|---|---|
| Original | — | Hello\nWorld |
| Encoded | TextEncoderBlock | Hello\\nWorld |
| Decoded | TextDecoderBlock | Actual newline restored ✅ |
The encoder properly escaped the newline, and the decoder restored it. Blocks work well together as intended.
Summary
The TextEncoderBlock is a solid inverse of TextDecoderBlock for the documented use cases (JSON payloads, config files, etc.). Ship it! 🚀
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Actionable comments posted: 1
🤖 Fix all issues with AI agents
In `@docs/integrations/block-integrations/text.md`:
- Around line 408-409: Rename the "Possible use case" heading to exactly "Use
Case" in the Text Encoder block documentation (replace the heading text
"Possible use case" with "Use Case") and update the section body to contain
exactly three practical use cases—concise, concrete examples—so the "Use Case"
section matches the doc standard.
📜 Review details
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Review profile: CHILL
Plan: Pro
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📒 Files selected for processing (1)
docs/integrations/block-integrations/text.md
🧰 Additional context used
📓 Path-based instructions (2)
docs/integrations/**/*.md
📄 CodeRabbit inference engine (docs/CLAUDE.md)
docs/integrations/**/*.md: Provide a technical explanation of how the block functions in the 'How It Works' section, including 1-2 paragraphs describing processing logic, validation, error handling, or edge cases, with code examples in backticks when helpful
Provide exactly 3 practical use cases in the 'Use Case' section, formatted with bold headings followed by short one-sentence descriptions
Files:
docs/integrations/block-integrations/text.md
docs/**/*.md
📄 CodeRabbit inference engine (docs/CLAUDE.md)
docs/**/*.md: Keep documentation descriptions concise and action-oriented, focusing on practical, real-world scenarios
Use consistent terminology with other blocks and avoid overly technical jargon unless necessary in documentation
Files:
docs/integrations/block-integrations/text.md
🧠 Learnings (1)
📚 Learning: 2026-01-22T11:37:20.219Z
Learnt from: CR
Repo: Significant-Gravitas/AutoGPT PR: 0
File: docs/CLAUDE.md:0-0
Timestamp: 2026-01-22T11:37:20.219Z
Learning: Applies to docs/integrations/**/*.md : Provide a technical explanation of how the block functions in the 'How It Works' section, including 1-2 paragraphs describing processing logic, validation, error handling, or edge cases, with code examples in backticks when helpful
Applied to files:
docs/integrations/block-integrations/text.md
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Re-approved after syncing block docs. ✅
PR Review: Text Encoder BlockI've reviewed the implementation and documentation for the new Text Encoder block. Overall, this is a well-executed addition! Here's my detailed feedback: ✅ Strengths
🔍 Minor Issues Found1. Missing Error Output in Text Decoder (consistency issue)The Text Encoder block has an
Suggestion: This isn't blocking for this PR, but consider adding error handling to Text Decoder in a follow-up for consistency. 2. Output Order Documentation (very minor)In the documentation, the outputs table lists | Output | Description | Type |
|--------|-------------|------|
| error | Error message if encoding fails | str |
| encoded_text | The encoded text with special characters converted to escape sequences | str |However, in the code schema definition, Suggestion: Consider reordering the docs table to match the schema definition order ( ✅ VerdictApproved with minor notes! The implementation is solid, documentation is accurate and helpful, and the block will be useful for users. The issues mentioned are minor consistency observations that don't block this PR. Great work on the clear documentation and comprehensive testing! 🎉 |
PR Review: Text Encoder BlockThank you for adding the Text Encoder block! I've reviewed the implementation and documentation. Overall, this is a solid contribution with well-structured code and documentation. Here's my detailed feedback: ✅ Documentation AccuracyInputs/Outputs Tables: The documentation accurately reflects the block schema:
What it is/does: The description correctly states the block's purpose and matches the implementation. README.md entry: Correctly added to the text blocks section with accurate description. ✅ Manual Content QualityHow it works (text.md:389-393): Excellent technical explanation! It:
Possible use case (text.md:409-415): Great practical examples! The three use cases are:
✅ Template ComplianceThe documentation follows the standard template perfectly:
✅ Consistency with Related BlocksCompared to the Text Decoder block, this implementation is consistent in:
🔍 Minor Observation (Not a Blocker)One small inconsistency I noticed between the encoder and decoder: Text Decoder ( The documentation for Text Decoder shows an For consistency, you might consider:
✅ TestsThe test file (
📋 SummaryApprove with no changes required. The documentation is accurate, well-written, and follows all the templates and standards. The implementation is solid and properly tested. Great work! 🎉 |
PR Review: Text Encoder BlockI've reviewed the changes in this PR and overall it looks excellent! The implementation is clean, well-tested, and the documentation follows the standard template. Here's my detailed feedback: ✅ Strengths
🔍 Minor Observations
✅ VerdictThis PR is ready to merge! The documentation is accurate, comprehensive, and helpful. The manual sections provide good technical details and practical use cases. The minor observations above are purely optional improvements and don't block approval. Great work on maintaining documentation consistency! 🎉 |
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Summary
Implements a
TextEncoderBlockthat encodes plain text into escape sequences (the reverse ofTextDecoderBlock).Changes
Block Implementation
encoder_block.pywithTextEncoderBlockinautogpt_platform/backend/backend/blocks/codecs.encode(text, "unicode_escape").decode("utf-8")for encodingTextDecoderBlockBlockCategory.TEXTDocumentation
docs/integrations/block-integrations/text.md(the auto-generated docs file for TEXT category blocks)docs/integrations/README.mdencoder_block.md(TEXT category blocks belong intext.mdperCATEGORY_FILE_MAPingenerate_block_docs.py)Documentation Formatting (CodeRabbit feedback)
textlanguage tags to fenced code blocks (MD040)How Docs Were Synced
The
check-docs-syncCI job runspoetry run python scripts/generate_block_docs.py --checkwhich expects blocks to be documented in category-grouped files. SinceTextEncoderBlockusesBlockCategory.TEXT, theCATEGORY_FILE_MAPmaps it totext.md— not a standalone file. The block entry was added totext.mdfollowing the exact format used by the generator (with<!-- MANUAL -->markers for hand-written sections).Related Issue
Fixes #11111