* ✨ (sql.py): add new output definitions for the SQLAgentComponent to include 'Agent' and 'Response' outputs for better functionality and flexibility
* 📝 (sql.py): update import statement for Output class to match new file structure
♻️ (sql.py): refactor Output class usage to remove unnecessary attributes and improve code readability
---------
Co-authored-by: Edwin Jose <edwin.jose@datastax.com>
✨ (google_generative_ai_constants.py): add new Google Generative AI models (gemini-2.5 and gemini-2.0) to the list of supported models.
Co-authored-by: Edwin Jose <edwin.jose@datastax.com>
* refactor: Simplify flow execution validation by removing unnecessary asyncio.wait_for calls
Updated the validate_flow_execution function to directly use the client.post and client.get methods with a timeout parameter, improving code readability and maintainability. This change eliminates redundant timeout handling while ensuring consistent timeout values across API calls.
* refactor: Enhance template tests for improved structure and validation
Refactored the template tests in `test_starter_projects.py` to utilize parameterization for better readability and maintainability. Introduced helper functions to retrieve template files and disabled tracing for all tests. Updated individual test methods to validate JSON structure, flow execution, and endpoint validation, ensuring comprehensive coverage of template functionality. This change streamlines the testing process and enhances the robustness of the test suite.
* refactor: Update project metadata and import paths in starter project JSON files
Modified the metadata section in multiple starter project JSON files to reflect updated code hashes and module paths, transitioning from 'lfx' to 'langflow' components. This change enhances consistency across the codebase and ensures that the correct modules are referenced for improved maintainability and clarity.
* chore: Update template test commands to utilize parallel execution
Modified the commands in the Makefile and CI workflows to include the `-n auto` option for pytest, enabling parallel test execution for the starter project template tests. This change enhances test performance and efficiency across the codebase.
* chore: Remove news-aggregated.json file
Deleted the news-aggregated.json file
* Update test_template_validation.py
* [autofix.ci] apply automated fixes
---------
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* ♻️ (components.py): refactor get_and_cache_all_types_dict function to filter out base components path and only load custom components for traditional full loading. This improves code readability and maintainability.
* ✨ (test_component_loading_fix.py): Add tests for the component loading fix that filters out BASE_COMPONENTS_PATH from custom components.
* [autofix.ci] apply automated fixes
* 🐛 (test_component_loading_fix.py): remove unnecessary test case for GitHub issue #8967 and fix test_component_merging_logic method to handle custom component loading failure properly
♻️ (test_component_loading_fix.py): refactor test_component_loading_fix.py to improve readability and remove redundant try-except block in test_component_merging_logic
* [autofix.ci] apply automated fixes
* ♻️ (components.py): refactor _process_single_module function to simplify create_component_template call and improve code readability
♻️ (components.py): refactor _determine_loading_strategy function to handle component loading strategy based on lazy_load_components setting and improve code structure
* 📝 (components.py): add comments and improve readability in _process_single_module function
✨ (components.py): introduce _determine_loading_strategy function to determine and execute the appropriate component loading strategy based on settings service
---------
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Co-authored-by: Gabriel Luiz Freitas Almeida <gabriel@langflow.org>
* add template tests
* remove files
* adding validate flow build
* add validate endpoint and flow execution
* Update .github/workflows/template-tests.yml
Co-authored-by: coderabbitai[bot] <136622811+coderabbitai[bot]@users.noreply.github.com>
* Update src/backend/base/langflow/utils/template_validation.py
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* [autofix.ci] apply automated fixes
* change workflow running
* add ci
* fix test
* fix test
* delete when push
* fix: Exclude template tests from unit test bundle
Template tests are already run separately in CI via the test-templates job.
This change prevents duplicate execution and eliminates timeout failures
in the unit test suite by excluding slow template execution tests.
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
* fix: Exclude template tests from unit test bundle
Template tests are already run separately in CI via the test-templates job.
This change prevents duplicate execution and eliminates timeout failures
in the unit test suite by excluding slow template execution tests.
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
* fix: Exclude template tests from unit test bundle
Template tests are already run separately in CI via the test-templates job.
This change prevents duplicate execution and eliminates timeout failures
in the unit test suite by excluding slow template execution tests.
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
* fix: Remove remaining merge conflict markers
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
* fix: Improve validate.py unit tests to eliminate CI failures
Fixed 4 failing tests in test_validate.py:
- test_code_with_syntax_error: Better error message handling for syntax errors
- test_raises_error_for_missing_function: Handle StopIteration along with ValueError
- test_creates_simple_class: Use optional constructor parameter to avoid TypeError
- test_handles_validation_error: Use proper ValidationError constructor from pydantic_core
- test_creates_context_with_langflow_imports: Remove invalid module patching
- test_creates_mock_classes_on_import_failure: Use proper import mocking
All 50 validate tests now pass consistently, improving CI stability.
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
* enhance: Add comprehensive edge case tests for template_validation.py
Added 6 additional test cases to improve coverage of template_validation.py:
- test_validate_stream_exception: Tests Graph.validate_stream() exception handling
- test_code_validation_other_exceptions: Tests TypeError/KeyError/AttributeError handling
- test_vertices_sorted_without_end_vertex_events: Tests variable usage tracking
- test_vertex_count_tracking: Tests vertex_count increment paths
- test_empty_lines_in_stream: Tests empty line handling in event streams
- test_event_stream_validation_exception: Tests exception handling in _validate_event_stream
These tests target the remaining 7 uncovered lines to maximize coverage percentage.
Total tests: 40 (all passing)
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
---------
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Co-authored-by: Claude <noreply@anthropic.com>
* feat: Add smoke tests workflow for PR validation
- Adds smoke-test label trigger for running tests without API keys
- Runs backend tests excluding api_key_required markers
- Runs full frontend test suite with mocked APIs
- Provides fast feedback (~10-15 min) before lgtm label
- Enables external contributors to validate changes without API costs
- Comments results back to PR automatically
Usage: Add 'smoke-test' label to any PR to trigger
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
* fix: Fix YAML indentation in smoke-tests workflow script block
* refactor: Focus smoke tests on critical functionality only
- Run only 10 essential backend test files (version, schema, serialization, etc.)
- Run only frontend unit tests (skip integration/e2e)
- Reduce timeout from 15 to 8 minutes
- Target critical functionality without external dependencies
- Avoid problematic database/API-dependent tests
* fix: Use correct Jest CLI option --testPathPatterns
* add frontend tests
* add tests
* change to essential tests
* fix: Create superuser in test_load_bundles_from_urls test
The test_load_bundles_from_urls test was failing because the load_bundles_from_urls
function expects a superuser to exist in the database, but the test client fixture
sets LANGFLOW_AUTO_LOGIN=false by default, which doesn't create a superuser.
This fix creates a superuser in the test database before calling the function,
resolving the 'Superuser not found in the database' error.
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
* add on conditions
* fix: Check PR labels correctly for smoke test trigger
Change condition from github.event.label.name to
github.event.pull_request.labels.*.name to work with all trigger
events (synchronize, opened, etc), not just labeled events.
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
* add workdispatch
* remove initial test
* adding timeout minutes
* edit env var
---------
Co-authored-by: Claude <noreply@anthropic.com>
* Store mcp server headers
* Add headers on pre check url and is valid url
* adds validation of headers according to RFC 7230
* Fixed sanitized value
* Added backend tests for mcp util.py to increase coverage
* [autofix.ci] apply automated fixes
* [autofix.ci] apply automated fixes (attempt 2/3)
* make key pair input use flatmap id on data test ids
* added testids
* added random test names and added tests for persistence
* fix ruff lint
* [autofix.ci] apply automated fixes
* Fix mypy lint errors
---------
Co-authored-by: autofix-ci[bot] <114827586+autofix-ci[bot]@users.noreply.github.com>
* ✨ (AccountMenu/index.tsx): Add computeNonPrereleaseVersion function to calculate non-prerelease version for comparing versions
📝 (utils.ts): Add computeNonPrereleaseVersion function to extract non-prerelease version for version comparison in AccountMenu component
* refactor: replace computeNonPrereleaseVersion with stripReleaseStageFromVersion for version comparison in AccountMenu component
- Updated AccountMenu to utilize stripReleaseStageFromVersion for determining the latest version.
- Removed computeNonPrereleaseVersion function from utils and replaced it with stripReleaseStageFromVersion for clarity and consistency in version handling.
* ✅ (strip-release-fn.test.ts): add standalone test for stripReleaseStageFromVersion function to avoid dependency issues in test environment
* 📝 (strip-release-fn.test.ts): add detailed documentation for the stripReleaseStageFromVersion function to explain its functionality and examples
* 🐛 (python_code_structured_tool.py): fix issue with handling default values in function arguments to prevent potential errors
* [autofix.ci] apply automated fixes
---------
Co-authored-by: Gabriel Luiz Freitas Almeida <gabriel@langflow.org>
Co-authored-by: Carlos Coelho <80289056+carlosrcoelho@users.noreply.github.com>
Co-authored-by: autofix-ci[bot] <114827586+autofix-ci[bot]@users.noreply.github.com>
* Changed Youtube to YouTube
* Updated AIML to AI/ML API
* Updated AI/ML Model name
* Changed Anthropic description
* updated arXiv name
* Set Astra Vectorize as legacy
* Updated get env var
* Updates firecrawl names
* Updated Icon for Google Gen AI embeddings
* Add Space on Home Assistant
* Updated Hugging Face name
* Updated Maritalk Name
* Updated Not Diamond name
* Updated ScrapeGraph names
* Changed SearchApi Name
* Changed TwelveLabs naming
* Updated AstraDB naming
* Updated VertexAI naming
* Updated Wolfram
* Updated Yahoo naming
* Updated Yahoo Finance name
* Updated Yahoo Finance
* [autofix.ci] apply automated fixes
* Update google serper bundle
* updated ai ml icon name
* Updated maritalk
* Changed ai ml api name
* removed openai from base url
* Revert components-bundles changes
* revert changes on components-vector-stores
* Revert changes on deployment-hugging-face-spaces
* Revert changes on integrations-nvidia-ingest
* Revert changes on release-notes
* Update changes on sequential agent
* [autofix.ci] apply automated fixes
* fixed filterSidebar test
* updated filter edge test
* updated shard 11 test with new sidebar names
---------
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* Added color to number
* Group cleanlab outputs
* [autofix.ci] apply automated fixes
---------
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* init auth forms
* Add iam endpoint
* Add radix radio
* Add radio group UI element
* Add IAM endpoint to types
* Add auth modal
* Remove auth from tools component
* Add auth modal to mcp server tab
* Add placeholders to fields
* Add dynamic headers
* changed authentication name
* CHanged paddings
* Added header and button under feature flag
* [autofix.ci] apply automated fixes
* update api key form field
* add credential handling and fix feature flag
* Update autologin condition
* design update
* style updates
* ci details
* revert ci logs
* test update, ff name update, and username + pass -> basic
* restore ci
* default fix
* added iam endpoint
* add oauth
* remove secretstr
* updated backend test and schema
* updated test
* updated test user can update
* test fix
---------
Co-authored-by: Mike Fortman <michael.fortman@datastax.com>
Co-authored-by: autofix-ci[bot] <114827586+autofix-ci[bot]@users.noreply.github.com>
* ✨ (flows.py): Improve flow naming logic to handle duplicate names more effectively and accurately
📝 (test_rename_flow_to_save.py): Add unit tests to ensure correct numbering and handling of duplicate flow names
* [autofix.ci] apply automated fixes
* ✨ (test_rename_flow_to_save.py): refactor test functions to remove unnecessary session parameter and improve code readability
* 📝 (flows.py): improve regex pattern to extract numbers only from flows following a specific naming convention to avoid extracting numbers from the original flow name if it contains parentheses
* [autofix.ci] apply automated fixes
* 📝 (flows.py): improve comments for better readability and understanding of regex usage in extracting numbers from flow names
---------
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* feat: Add dual output support to Agent component with structured JSON parsing
## Summary
- Add "Structured Response" output alongside existing "Response" output
- Filter out conflicting json_mode field from OpenAI inputs
- Implement robust JSON parsing with fallback handling
## Changes Made
### Agent Component (agent.py)
- Add second output: "Structured Response" (Data type) with tool_mode=False
- Filter json_mode from OpenAI inputs to prevent UI conflicts
- Add json_response() method with multi-stage JSON parsing:
- Direct JSON parsing for valid responses
- Regex extraction for embedded JSON in text
- Graceful error handling with diagnostic info
- Share execution between outputs (no duplicate agent runs)
- Fix model building to handle missing json_mode attribute
### Tests (test_agent_component.py)
- Add 9 comprehensive test cases covering:
- Dual output structure validation
- Input filtering verification
- JSON parsing (valid, embedded, error cases)
- Model building without json_mode
- Shared execution efficiency
- Frontend node structure
- Component initialization
## Benefits
- Users get both Message and Data output types to choose from
- Clean UI without confusing duplicate JSON toggles
- Robust JSON parsing handles various response formats
- Efficient single-execution approach
- Maintains backward compatibility
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
* [autofix.ci] apply automated fixes
* update to templates with model list update
* [autofix.ci] apply automated fixes
* Update test_agent_component.py
* update to the test and update to templates
* [autofix.ci] apply automated fixes
---------
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Co-authored-by: autofix-ci[bot] <114827586+autofix-ci[bot]@users.noreply.github.com>
Co-authored-by: Edwin Jose <edwin.jose@datastax.com>
* feat: filter out base components path in custom component loading
* revert changes to allow testing the function
* feat: add module_name parameter to custom component template functions
* feat: include full module name in component template creation
* feat: add module metadata to various starter project JSON files
* feat: add code hash generation for custom component templates
* test: add unit tests for code hash and module metadata functionality
* feat: add code hash to metadata in various starter project JSON files
* feat: refactor code hash generation to accept source code and class name
* feat: implement loading strategy for custom components in settings service
* Update metadata for various starter project JSON files to include code hashes and module references for ChatInput and ChatOutput components. This enhances traceability and consistency across the project configurations.
* refactor: improve _generate_code_hash function for better error handling and clarity
- Simplified the logic to generate a SHA256 hash of the source code.
- Added explicit error handling for empty source code, encoding issues, and type errors.
- Updated docstring to reflect changes in argument descriptions and added information about raised exceptions.
* test: add unit tests for metadata functionality in custom utils
- Introduced tests for the _generate_code_hash function, covering basic hash generation, error handling for empty and None source, hash consistency, and uniqueness for different code.
- Added tests to verify metadata addition in template building functions, ensuring that module names and code hashes are correctly included in the metadata of custom components.
---------
Co-authored-by: Edwin Jose <edwin.jose@datastax.com>
* reactor to have common mcp codes in mcp_support
* [autofix.ci] apply automated fixes
* Refactor MCP API argument passing and function signatures
Updated function calls in mcp_projects.py to use explicit keyword arguments for clarity. Refactored mcp_support.py to use more concise query assignment and added keyword-only arguments to handle_call_tool and handle_list_tools for improved code readability and maintainability.
* Rename mcp_support.py to mcp_utils.py and update imports
Renamed mcp_support.py to mcp_utils.py for clarity and updated all relevant import statements in mcp.py and mcp_projects.py to reflect the new module name.
---------
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* test: enhance agent component tests and add new fixture for database-less sessions
- Added `use_noop_session` fixture to facilitate testing without a database.
- Expanded `TestAgentComponent` with new tests for agent responses using the Calculator tool and validation across all OpenAI and Anthropic models.
- Updated `test_component.py` to include tests for message sending without a database, ensuring proper event handling and message integrity.
- Refactored existing tests for clarity and consistency.
* fix: enhance user retrieval logic in get_or_create_super_user and teardown_superuser functions
- Updated user retrieval in both functions to handle different result types from the database query, ensuring robustness against unexpected return values.
- Added checks for `first()` method and list type to improve error handling and maintainability.
* feat: add support for no-op database operations in settings
- Introduced `use_noop_database` configuration option to disable all database operations, controlled by the `LANGFLOW_USE_NOOP_DATABASE` environment variable.
- Updated the `use_noop_session` fixture to reflect the new environment variable for testing without a database.
* feat: implement NoopSession for database-less operations
- Added NoopSession class to provide a no-operation database session, allowing for testing and operation without a real database connection.
- Updated DatabaseService to utilize NoopSession when the `use_noop_database` setting is enabled, ensuring all database operations are disabled in this mode.
- Enhanced error handling and logging for session management, improving robustness in scenarios where the database is not in use.
* refactor: update import paths for NoopSession in test files
- Changed import path for NoopSession from `langflow.services.database.service` to `langflow.services.database.session` in both `test_agent_component.py` and `test_component.py`.
- This refactor improves code organization and aligns with recent changes in the project structure.
* feat: enhance NoopSession with result handling methods
- Added an internal _NoopResult class to the NoopSession, providing methods `first()`, `all()`, and `one_or_none()` for better handling of no-operation results.
- This enhancement improves the usability of NoopSession in testing scenarios by mimicking expected database query behaviors.
* refactor: improve logging for NOOP database session
- Changed the log level from warning to info for the NOOP database session message in the DatabaseService class.
- This adjustment enhances clarity in logging, indicating that all DB operations are disabled without implying an error condition.
* docs: improve docstring formatting for custom_component_update function
- Reformatted the docstring for the custom_component_update function to enhance readability by breaking long lines into multiple lines.
- This change improves documentation clarity, making it easier for developers to understand the function's purpose and behavior.
* docs: add LANGFLOW_USE_NOOP_DATABASE environment variable documentation
- Introduced documentation for the new LANGFLOW_USE_NOOP_DATABASE environment variable, which allows users to enable a no-op database mode, avoiding database connections and operations.
- This addition enhances the clarity of configuration options available for Langflow, aiding users in understanding how to run flows without a database.
* refactor: move NOOP database session logging to settings
- Removed the logging statement from the DatabaseService class and added it to the `set_use_noop_database` field validator in the Settings class.
- This change centralizes the logging for the NOOP database session, improving code organization and ensuring that the message is logged whenever the setting is applied.
* refactor: update config response handling and import structure
- Moved EventManager import to the correct module path.
- Refactored get_config endpoint to utilize ConfigResponse.from_settings for improved clarity and maintainability.
- Updated ConfigResponse to include a class method for instantiating from Settings, enhancing the encapsulation of configuration logic.
* 📝 Add docstrings to `improve-docs-and-configsetup` (#8677)
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* Fix check for server ready when using 0.0.0.0 as host
* [autofix.ci] apply automated fixes
* [autofix.ci] apply automated fixes (attempt 2/3)
* fix: add noqa comment to health check host assignment for clarity
---------
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Co-authored-by: Gabriel Luiz Freitas Almeida <gabriel@langflow.org>
feat: add NVIDIA Remix starter template
Introduced a new JSON configuration file for the NVIDIA Remix starter project, defining nodes and edges for chat input, output, and agent interactions. This setup enhances the integration of the NVIDIA RTX Remix Toolkit REST API, providing a structured approach for building chat-based applications.
Co-authored-by: Gabriel Luiz Freitas Almeida <gabriel@langflow.org>
feat: add code field to build configuration in custom component update if it was removed
- Introduced `add_code_field_to_build_config` utility function to enhance build configuration with a code field.
- Updated `custom_component_update` to conditionally add the code field if it is not already present, improving component customization capabilities.
Co-authored-by: Edwin Jose <edwin.jose@datastax.com>
* Improved health check and stream URL check on MCP
* Improved health check by validating session connectivity
* Changed mcp servers from json checks
* Fixed imports
* Fixed mcp server tab test
* feat: add DataFrame output to Structured Output component
- Add new DataFrame output alongside existing Data output for structured data
- Single output: creates DataFrame with one row
- Multiple outputs: creates DataFrame with multiple rows, each containing a Data object
- Maintains backward compatibility with existing Data output
- Includes comprehensive test coverage for both single and multiple output scenarios
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
* [autofix.ci] apply automated fixes
* [autofix.ci] apply automated fixes (attempt 2/3)
* [autofix.ci] apply automated fixes
* Update structured_output.py
* [autofix.ci] apply automated fixes
* udpate to tests
* [autofix.ci] apply automated fixes
* [autofix.ci] apply automated fixes (attempt 2/3)
* update to format instructions
* Update system prompt in structured output component test
Expanded the system prompt in the test for StructuredOutputComponent to provide more detailed extraction instructions, including handling of missing values, duplicates, and output format requirements. This improves test clarity and better simulates real-world extraction scenarios.
* [autofix.ci] apply automated fixes
* Update structured_output.py
* fix: return empty Data object instead of None in StructuredOutputComponent
Updated the return statement in the StructuredOutputComponent to return an empty Data object when there are no outputs, improving consistency in the output handling.
* [autofix.ci] apply automated fixes
---------
Co-authored-by: Claude <noreply@anthropic.com>
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Co-authored-by: Edwin Jose <edwin.jose@datastax.com>
Co-authored-by: Gabriel Luiz Freitas Almeida <gabriel@langflow.org>
* feat: enhance DataFrame Operations component with contains filter and modern UI
- Add "contains" filter operator for partial string matching in DataFrame filters
- Update UI to use SortableListInput with icons for consistent modern design
- Add 7 filter operators: equals, not equals, contains, starts with, ends with, greater than, less than
- Fix deselection handling to prevent "unhashable type: list" errors
- Improve dynamic field visibility when operations are deselected
- Add comprehensive test suite with 25 tests covering all operations and edge cases
- Update placeholder text from "Select DataFrame Operation" to "Select Operation"
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
* [autofix.ci] apply automated fixes
* Update dataframe_operations.py
---------
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Co-authored-by: Edwin Jose <edwin.jose@datastax.com>
* fix: Update log_vertex_build to accept UUID for flow_id and improve error handling
* Changed flow_id type from str to str | UUID for better type safety.
* Added error handling to raise a ValueError if flow_id is invalid, enhancing robustness of the logging function.
* fix: Ensure flow_id is not None before logging vertex build details
* Updated log_vertex_build call to check if flow_id is not None, enhancing robustness and preventing potential errors when flow_id is absent.
* refactor: Simplify flow reading logic by removing unnecessary settings service dependency
* 🛠️ (flows.py): Remove settings_service parameter from _read_flow and related functions to streamline flow retrieval logic.
* 🔧 (flows.py): Adjust query to directly filter by user_id, enhancing clarity and reducing complexity.
* test: Enhance flow retrieval tests with user isolation checks
* 🧪 (test_flows.py): Remove hardcoded user_id from flow creation tests to ensure user-specific data handling.
* ✨ (test_flows.py): Add a new test to verify that users can only access their own flows, ensuring proper user isolation in flow retrieval.
* 🔧 (test_flows.py): Implement user creation and cleanup logic to maintain test integrity and avoid side effects.
- Updated langflow version to 1.5.0 in pyproject.toml, package.json, and package-lock.json.
- Updated langflow-base dependency to version 0.5.0.
- Added platform markers for several dependencies in uv.lock to improve compatibility across different systems.
* fix: update message input handling in LCAgentComponent and improve memory data retrieval
* Refactor MessageTextInput to MessageInput for consistency.
* Enhance input dictionary construction to handle different input types in LCAgentComponent.
* Update get_memory_data method to filter out current input value from retrieved messages.
* fix: update AgentComponent to include documentation link and improve input handling
* Added documentation link for AgentComponent.
* Removed memory inputs from the agent component for cleaner input management.
* Enhanced error handling in message_response method to ensure better validation and logging of exceptions.
* fix: enhance input handling in LCAgentComponent by updating message conversion
* Updated input dictionary construction in LCAgentComponent to use to_lc_message() for Message instances, improving input handling consistency.
* test: add regression test for message duplication in agent component
* Introduced a new test to verify that mathematical expressions do not experience message duplication when processed by the agent component.
* The test checks both input and output JSON to ensure correct handling of expressions like "2+2" without duplication errors.
* test: add workspace tag to regression test for message duplication in agent component
* Updated the regression test for mathematical expressions to include the "@workspace" tag, enhancing test categorization and organization.
* This change ensures better tracking and management of tests related to the agent component.
* fix: add temporary comment in get_memory_data to address message duplication
* Added a TODO comment in the get_memory_data method of AgentComponent to indicate a temporary fix for message duplication issues. This serves as a reminder to develop a more robust solution in the future.
* feat: add message extraction utility for BaseMessage
* Introduced a new helper function, _get_message_from_base_message, to extract and concatenate text content from BaseMessage instances, improving message handling.
* Updated input handling in handle_on_chain_start to utilize the new extraction function, ensuring consistent processing of input messages.
* refactor: standardize code snippets across starter project JSON files
* Updated the "value" field in multiple starter project JSON files to ensure consistent formatting and structure of code snippets.
* This change enhances readability and maintainability of the code examples provided in the starter projects.
* feat: add caching and content dictionary creation for images
* Introduced a new function, create_image_content_dict, to generate a content dictionary for multimodal inputs from image files, enhancing image handling capabilities.
* Implemented LRU caching to optimize performance for repeated image processing.
* Added comprehensive error handling and documentation for better usability and maintainability.
* refactor: update message handling to utilize create_image_content_dict
* Replaced direct image URL creation with create_image_content_dict for improved image content handling in the Data and Message classes.
* Adjusted the order of content in human messages to ensure text appears first, enhancing message structure and clarity.
* Removed deprecated to_lc_message method to streamline the codebase and improve maintainability.
* docs: enhance _get_message_from_base_message docstring for clarity
* Expanded the docstring for the _get_message_from_base_message function to provide detailed information on input types, expected behavior, and examples of usage.
* Improved documentation aims to enhance usability and maintainability of the code by clarifying how to extract text content from BaseMessage instances.
* refactor: enhance image path handling and update message content structure
* Modified the get_file_paths function to support both Image objects and string paths for improved flexibility in file handling.
* Updated test cases to reflect changes in image content structure, ensuring consistency in type and source type attributes.
* Introduced new tests for create_image_content_dict to validate successful creation and error handling for image content dictionaries.
* refactor: streamline message extraction in handle_on_chain_start
* Removed the _get_message_from_base_message function to simplify the codebase.
* Updated handle_on_chain_start to directly use the text method of BaseMessage for extracting message content, enhancing clarity and maintainability.
* feat: enhance input handling for multimodal messages
* Added functionality to process image content within input messages, ensuring images are included in chat history as HumanMessage instances.
* Updated input handling logic to separate image types from text, improving the structure and clarity of message content.
* This enhancement supports better management of multimodal inputs in the agent's chat history.
* feat: add to_lc_message method for converting Data to BaseMessage
* Introduced the to_lc_message method in the Message class to facilitate conversion of Data instances to BaseMessage.
* Implemented logic to handle both HumanMessage and AIMessage based on the presence of required keys and sender type.
* Added logging for missing required keys to improve debugging and maintainability.
* refactor: simplify sender check in Message class
* Updated the sender validation logic in the Message class to remove unnecessary checks for missing sender values.
* This change enhances code clarity and maintains the intended functionality for handling user messages with associated files.
* test: update test_message_from_human_text to reflect content type change
* Modified the test for message conversion to assert that lc_message.content is a string instead of a list.
* Updated assertions to ensure the content matches the expected text, enhancing test accuracy and reliability.
* fix: update sender validation in Message class and adjust test case
* Modified the sender validation logic to handle cases where the sender is not specified, defaulting to HumanMessage.
* Updated the corresponding test case to reflect this change, ensuring accurate type assertion for lc_message when no sender is provided.
* refactor: update import statements for consistency and clarity
* Replaced the import of BaseModel from langchain.pydantic_v1 with the direct import from pydantic to streamline dependencies.
* This change enhances code clarity and aligns with best practices for managing imports in the codebase.
---------
Co-authored-by: Edwin Jose <edwin.jose@datastax.com>
Co-authored-by: Carlos Coelho <80289056+carlosrcoelho@users.noreply.github.com>
* Updated the message processing logic in both ProjectMCPServer and handle_call_tool to ensure that duplicate messages are not added to the collected results.
* Introduced a helper function to manage the addition of results, enhancing code clarity and maintainability.
Co-authored-by: Cristhian Zanforlin Lousa <cristhian.lousa@gmail.com>
