* feat: read flows from local directory at startup
* cleanup
* add check
* fix
* fix
* fix by endpoint name
---------
Co-authored-by: Gabriel Luiz Freitas Almeida <gabriel@langflow.org>
* refactor(chat.py): rename flow_id variable to flow_id_str for better clarity
refactor(chat.py): update flow_id usage to flow_id_str in build_vertex function for consistency
refactor(chat.py): change flow_id to flow_id_str in build_vertex function for consistency
refactor(chat.py): replace flow_id with flow_id_str in build_vertex function for consistency
refactor(chat.py): update flow_id to flow_id_str in build_vertex_stream function for consistency
refactor(chat.py): change flow_id to flow_id_str in build_vertex_stream function for consistency
refactor(chat.py): replace flow_id with flow_id_str in build_vertex_stream function for consistency
refactor(chat.py): update flow_id to flow_id_str in build_vertex_stream function for consistency
refactor(endpoints.py): replace flow_id with flow_id_str in simplified_run_flow function for consistency
refactor(endpoints.py): update flow_id to flow_id_str in simplified_run_flow function for consistency
refactor(endpoints.py): change flow_id to flow_id_str in simplified_run_flow function for consistency
refactor(endpoints.py): replace flow_id with flow_id_str in simplified_run_flow function for consistency
refactor(endpoints.py): update flow_id to flow_id_str in simplified_run_flow function for consistency
refactor(endpoints.py): change flow_id to flow_id_str in simplified_run_flow function for consistency
refactor(endpoints.py): replace flow_id with flow_id_str in simplified_run_flow function for consistency
refactor(endpoints.py): update flow_id to flow_id_str in simplified_run_flow function for consistency
refactor(endpoints.py): change flow_id to flow_id_str in experimental_run_flow function for consistency
refactor(endpoints.py): replace flow_id with flow_id_str in experimental_run_flow function for consistency
refactor(endpoints.py): update flow_id to flow_id_str in experimental_run_flow function for consistency
refactor(endpoints.py): change flow_id to flow_id_str in experimental_run_flow function for consistency
refactor(endpoints.py): replace flow_id with flow_id_str in experimental_run_flow function for consistency
refactor(endpoints.py): update flow_id to flow_id_str in experimental_run_flow function for consistency
refactor(endpoints.py): change flow_id to flow_id_str in experimental_run_flow function for consistency
refactor(endpoints.py): replace flow_id with flow_id_str in experimental_run_flow function for consistency
refactor(endpoints.py): update flow_id
fix(files.py): update variable names from flow_id to flow_id_str for consistency
feat(files.py): use flow_id_str instead of flow_id for file operations to ensure correct folder paths
feat(files.py): improve error handling and response messages in file operations
feat(flows.py): optimize query for fetching example flows
feat(folders.py): refactor create_folder function for better readability and maintainability
feat(folders.py): update_folder function to handle excluded_flows and concat_folder_components
feat(folders.py): improve error handling and response messages in folder operations
feat(folders.py): optimize query for fetching folder in download_file function
feat(schemas.py): update FlowListReadWithFolderName schema field names to name and description
feat(OpenAIConversationalAgent.py): add support for using pydantic SecretStr for storing API key securely
feat(ChatOpenAISpecs.py): add support for using pydantic SecretStr for storing API key securely
refactor(RecordsOutput.py): change base class from TextComponent to CustomComponent
refactor(base.py): remove unused import and log_transaction call
refactor(model.py): change components and flows fields to have default_factory=list
refactor(utils.py): update SQLModel import and use Field for components and flows fields
refactor(service.py): change table_map declaration to use type hints for better readability
* feat(tests): add import statement for Folder model in conftest.py to support new functionality
refactor(tests): update query in conftest.py to use nested query for Folder name
refactor(tests): update import statement for UUID in test_endpoints.py
refactor(tests): update UUID usage in test_endpoints.py for consistency and clarity
refactor(tests): update UUID usage in test_endpoints.py for consistency and clarity
refactor(tests): update UUID usage in test_endpoints.py for consistency and clarity
refactor(tests): update UUID usage in test_endpoints.py for consistency and clarity
feat(tests): add import statement for Folder model in test_initial_setup.py to support new functionality
refactor(tests): update query in test_initial_setup.py to use Folder model for better readability and maintainability
* new lock
* format
* chore: Bump langflow version to 1.0.0a34 and langflow-base version to 0.0.45
* Fix fallback_to_env_vars type hint
* chore: Add fallback_to_env_vars parameter to run_flow_from_json function
The `run_flow_from_json` function now accepts a new optional parameter `fallback_to_env_vars` which determines whether Global Variables should fallback to environment variables if not found. This change allows for more flexibility in handling variable values.
* chore: Add fallback_to_env_vars parameter to run_flow_from_json function
* chore: Set file path to None when not found in component
This commit modifies the `Vertex` class to set the file path to `None` when it is not found for a required field in a component. This change ensures that the code can handle missing file paths gracefully and avoids raising a `ValueError`.
* chore: Add fallback_to_env_vars parameter to run_flow_from_json function
* new package lock
* Update Dockerfiles to include user creation and use --user flag for pip install
* Add JavaScriptMIMETypeMiddleware to main.py
* Update constants.py and run.py files
* Update package versions in poetry.lock and pyproject.toml files
* Refactor Dockerfile to optimize image building process
* Fix import error in main.py
* Update Dockerfiles to use logspace/langflow image
* Update package versions in pyproject.toml and poetry.lock files
* Update poetry caching action and workflows
* Update poetry caching action and workflows
* Refactor LLMChainComponent build method in LLMChain.py
* Update poetry install command in Makefile
* Refactor Makefile to remove redundant install_backend targets
* Fix codespell issues in project
* Update package versions and dependencies
* Fix import order in chat_io.spec.ts, headerComponent/index.tsx, and chatMessage/index.tsx
* Update ruff command in Makefile and fix poetry cache reuse in Dockerfile
* Refactor ServiceManager class in manager.py to handle default service factories
* Fix typo in DOWNLOAD_WEBHOOK_URL variable assignment
* Refactor cache_service tests in test_cache_manager.py
* Add pytest-profiling
* Update Makefile to run unit tests with parallel execution
* Refactor ServiceManager class in manager.py to handle default service factories
* Refactor node_name condition in Graph class to use "Listen" instead of "GetNotified"
* Refactor file paths in tests/conftest.py for better readability and maintainability
* Sort vertices in each layer by dependency in Graph class
* Refactor variable declaration in SessionService class to use type hinting
* Refactor make tests command in python_test.yml workflow
* Refactor file paths in tests/conftest.py for better readability and maintainability
* Refactor imports in tests/conftest.py to include sqlmodel.Session and related dependencies
* Refactor file paths in tests/conftest.py to include available files in error message
* Refactor file paths in tests/conftest.py to include available files in error message
* Refactor file paths in tests/conftest.py to fix typo in BasicChatwithPromptAndHistory.json
* Refactor test_loading.py to improve code readability and maintainability
* Refactor code in test_template.py, __main__.py, and utils.py to improve code readability and maintainability
* Fix logger.configure() to disable logging when disable flag is True
* Refactor validate_icon function to use emoji library for emoji validation in model.py
* Refactor import statements in base.py files to improve code organization and maintainability
* Refactor state_manager.py to handle error when getting state service and use InMemoryStateService as fallback
* Refactor load_flow_from_json function in load.py to configure logs and load services
* Add test_run_flow_from_json_object function to test_loading.py
* Refactor langflow.processing.process.py and langflow.schema.graph.py
* Set all streaming to false in run_flow_from_json function
* Refactor import statements in base.py files to improve code organization and maintainability
* Refactor arun function in base.py to handle event loop and async execution
* Add docstring to run_flow_from_json
* Refactor import statements in base.py files to use logger in langflow interface
* Refactor build method in ChatOutput and TextInput classes to use build_with_record
* Refactor import statements in base.py files to improve code organization and maintainability
* Refactor import statements in PythonREPLTool.py for improved code organization and maintainability
* Refactor build method in TextOutput class to include optional record_template parameter
* Refactor build method in ChatComponent class to include build_no_record method
* Refactor input_value parameter in TextInput build method to use Text type
* Refactor import statements in FlowTool.py for improved code organization and maintainability
* Bump langflow-base version to 0.0.25 and add asyncer dependency
* Refactor code in multiple files for improved organization and maintainability
* Refactor import statements in multiple files for improved code organization and maintainability
* re-add --fix
* Add PythonREPLToolComponent to tools/__init__.py and create PythonREPLTool.py
* Refactor PythonREPLToolComponent to use build_status_from_tool in PythonREPLTool.py
* Refactor model_specs imports in ChatLiteLLMSpecs.py
* Refactor imports in various files
* Refactor model_specs imports and class names in AnthropicLLMSpecs.py and AnthropicSpecs.py
This pull request introduces comprehensive new tests for our components,
significantly improving our project's test coverage. In addition to the
new component tests, this PR addresses and resolves several issues that
were affecting our general test suite, enhancing its reliability and
efficiency.
* Update model kwargs and temperature values
* Update keyboard shortcuts for advanced editing
* make Message field have no handles
* Update OpenAI API Key handling in OpenAIEmbeddingsComponent
* Remove unnecessary field_type key from CustomComponent class
* Update required field behavior in CustomComponent class
* Refactor AzureOpenAIModel.py: Removed unnecessary "required" attribute from input parameters
* Update BaiduQianfanChatModel and OpenAIModel configurations
* Fix range_spec step type validation
* Update RangeSpec step_type default value to "float"
* Fix Save debounce
* Update parameterUtils to use debounce instead of throttle
* Update input type options in schemas and graph base classes
* Refactor run_flow_with_caching endpoint to include simplified and experimental versions
* Add PythonFunctionComponent and test case for it
* Add nest_asyncio to fix event loop issue
* Refactor test_initial_setup.py to use RunOutputs instead of ResultData
* Remove unused code in test_endpoints.py
* Add asyncio loop to uvicorn command
* Refactor load_session method to handle coroutine result
* Fixed saving
* Fixed debouncing
* Add InputType and OutputType literals to schema.py
* Update input type in Graph class
* Add new schema for simplified API request
* Add delete_messages function and update test_successful_run assertions
* Add STREAM_INFO_TEXT constant to model components
* Add session_id to simplified_run_flow_with_caching endpoint
* Add field_typing import to OpenAIModel.py
* update starter projects
* Add constants for Langflow base module
* Update setup.py to include latest component versions
* Update Starter Examples
* sets starter_project fixture to Basic Prompting
* Refactor test_endpoints.py: Update test names and add new tests for different output types
* Update HuggingFace Spaces link and add image for dark mode
* Remove filepath reference
* Update Vertex params in base.py
* Add tests for different input types
* Add type annotations and improve test coverage
* Add duplicate space link to README
* Update HuggingFace Spaces badge in README
* Add Python 3.10 installation requirement to README
* Refactor flow running endpoints
* Refactor SimplifiedAPIRequest and add documentation for Tweaks
* Refactor input_request parameter in simplified_run_flow function
* Add support for retrieving specific component output
* Add custom Uvicorn worker for Langflow application
* Add asyncio loop to LangflowApplication initialization
* Update Makefile with new variables and start command
* Fix indentation in Makefile
* Refactor run_graph function to add support for running a JSON flow
* Refactor getChatInputField function and update API code
* Update HuggingFace Spaces documentation with duplication process
* Add asyncio event loop to uvicorn command
* Add installation of backend in start target
* udpate some starter projects
* Fix formatting in hugging-face-spaces.mdx
* Update installation instructions for Langflow
* set examples order
* Update start command in Makefile
* Add installation and usage instructions for Langflow
* Update Langflow installation and usage instructions
* Fix langflow command in README.md
* Fix broken link to HuggingFace Spaces guide
* Add new SVG assets for blog post, chat bot, and cloud docs
* Refactor example rendering in NewFlowModal
* Add new SVG file for short bio section
* Remove unused import and add new component
* Update title in usage.mdx
* Update HuggingFace Spaces heading in usage.mdx
* Update usage instructions in getting-started/usage.mdx
* Update cache option in usage documentation
* Remove 'advanced' flag from 'n_messages' parameter in MemoryComponent.py
* Refactor code to improve performance and readability
* Update project names and flow examples
* fix document qa example
* Remove commented out code in sidebars.js
* Delete unused documentation files
* Fix bug in login functionality
* Remove global variables from components
* Fix bug in login functionality
* fix modal returning to input
* Update max-width of chat message sender name
* Update styling for chat message component
* Refactor OpenAIEmbeddingsComponent signature
* Update usage.mdx file
* Update path in Makefile
* Add new migration and what's new documentation files
* Add new chapters and migration guides
* Update version to 0.0.13 in pyproject.toml
* new locks
* Update dependencies in pyproject.toml
* general fixes
* Update dependencies in pyproject.toml and poetry.lock files
* add padding to modal
* ✨ (undrawCards/index.tsx): update the SVG used for BasicPrompt component to undraw_short_bio_re_fmx0.svg to match the desired design
♻️ (undrawCards/index.tsx): adjust the width and height of the BasicPrompt SVG to 65% to improve the visual appearance
* Commented out components/data in sidebars.js
* Refactor component names in outputs.mdx
* Update embedded chat script URL
* Add data component and fix formatting in outputs component
* Update dependencies in poetry.lock and pyproject.toml
* Update dependencies in poetry.lock and pyproject.toml
* Refactor code to improve performance and readability
* Update dependencies in poetry.lock and pyproject.toml
* Fixed IO Modal updates
* Remove dead code at API Modal
* Fixed overflow at CodeTabsComponent tweaks page
* ✨ (NewFlowModal/index.tsx): update the name of the example from "Blog Writter" to "Blog Writer" for better consistency and clarity
* Update dependencies versions
* Update langflow-base to version 0.0.15 and fix setup_env script
* Update dependencies in pyproject.toml
* Lock dependencies in parallel
* Add logging statement to setup_app function
* Fix Ace not having type="module" and breaking build
* Update authentication settings for access token cookie
* Update package versions in package-lock.json
* Add scripts directory to Dockerfile
* Add setup_env command to build_and_run target
* Remove unnecessary make command in setup_env
* Remove unnecessary installation step in build_and_run
* Add debug configuration for CLI
* 🔧 chore(Makefile): refactor build_langflow target to use a separate script for updating dependencies and building
✨ feat(update_dependencies.py): add script to update pyproject.toml dependency version based on langflow-base version in src/backend/base/pyproject.toml
* Add number_of_results parameter to AstraDBSearchComponent
* Update HuggingFace Spaces links
* Remove duplicate imports in hugging-face-spaces.mdx
* Add number_of_results parameter to vector search components
* Fixed supabase not commited
* Revert "Fixed supabase not commited"
This reverts commit afb10a6262.
* Update duplicate-space.png image
* Delete unused files and components
* Add/update script to update dependencies
* Add .bak files to .gitignore
* Update version numbers and remove unnecessary dependencies
* Update langflow-base dependency path
* Add Text import to VertexAiModel.py
* Update langflow-base version to 0.0.16 and update dependencies
* Delete start projects and commit session in delete_start_projects function
* Refactor backend startup script to handle autologin option
* Update poetry installation script to include pipx update check
* Update pipx installation script for different operating systems
* Update Makefile to improve setup process
* Add error handling on streaming and fix streaming bug on error
* Added description to Blog Writer
* Sort base classes alphabetically
* Update duplicate-space.png image
* update position on langflow prompt chaining
* Add Langflow CLI and first steps documentation
* Add exception handling for missing 'content' field in search_with_vector_store method
* Remove unused import and update type hinting
* fix bug on egdes after creating group component
* Refactor APIRequest class and update model imports
* Remove unused imports and fix formatting issues
* Refactor reactflowUtils and styleUtils
* Add CLI documentation to getting-started/cli.mdx
* Add CLI usage instructions
* Add ZoomableImage component to first-steps.mdx
* Update CLI and first steps documentation
* Remove duplicate import and add new imports for ThemedImage and useBaseUrl
* Update Langflow CLI documentation link
* Remove first-steps.mdx and update index.mdx and sidebars.js
* Update Docusaurus dependencies
* Add AstraDB RAG Flow guide
* Remove unused imports
* Remove unnecessary import statement
* Refactor guide for better readability
* Add data component documentation
* Update component headings and add prompt template
* Fix logging level and version display
* Add datetime import and buffer for alembic log
* Update flow names in NewFlowModal and documentation
* Add starter projects to sidebars.js
* Fix error handling in DirectoryReader class
* Handle exception when loading components in setup.py
* Update version numbers in pyproject.toml files
* Update build_langflow_base and build_langflow_backup in Makefile
* Added docs
* Update dependencies and build process
* Add Admonition component for API Key documentation
* Update API endpoint in async-api.mdx
* Remove async-api guidelines
* Fix UnicodeDecodeError in DirectoryReader
* Update dependency version and fix encoding issues
* Add conditional build and publish for base and main projects
* Update version to 1.0.0a2 in pyproject.toml
* Remove duplicate imports and unnecessary code in custom-component.mdx
* Fix poetry lock command in Makefile
* Update package versions in pyproject.toml
* Remove unused components and update imports
* 📦 chore(pre-release-base.yml): add pre-release workflow for base project
📦 chore(pre-release-langflow.yml): add pre-release workflow for langflow project
* Add ChatLiteLLMModelComponent to models package
* Add frontend installation and build steps
* Add Dockerfile for building and pushing base image
* Add emoji package and nest-asyncio dependency
* 📝 (components.mdx): update margin style of ZoomableImage to improve spacing
📝 (features.mdx): update margin style of ZoomableImage to improve spacing
📝 (login.mdx): update margin style of ZoomableImage to improve spacing
* Fix module import error in validate.py
* Fix error message in directory_reader.py
* Update version import and handle ImportError
* Add cryptography and langchain-openai dependencies
* Update poetry installation and remove poetry-monorepo-dependency-plugin
* Update workflow and Dockerfile for Langflow base pre-release
* Update display names and descriptions for AstraDB components
* Update installation instructions for Langflow
* Update Astra DB links and remove unnecessary imports
* Rename AstraDB
* Add new components and images
* Update HuggingFace Spaces URLs
* Update Langflow documentation and add new starter projects
* Update flow name to "Basic Prompting (Hello, world!)" in relevant files
* Update Basic Prompting flow name to "Ahoy World!"
* Remove HuggingFace Spaces documentation
* Add new files and update sidebars.js
* Remove async-tasks.mdx and update sidebars.js
* Update starter project URLs
* Enable migration of global variables
* Update OpenAIEmbeddings deployment and model
* 📝 (inputs.mdx): add margin to image style to improve spacing and center alignment
📝 (inputs.mdx): add margin to image style to improve spacing and center alignment
📝 (inputs.mdx): add margin to image style to improve spacing and center alignment
📝 (inputs.mdx): add margin to image style to improve spacing and center alignment
📝 (inputs.mdx): add margin to image style to improve spacing and center alignment
📝 (inputs.mdx): add margin to image style to improve spacing and center alignment
📝 (inputs.mdx): add margin to image style to improve spacing and center alignment
📝 (inputs.mdx): add margin to image style to improve spacing and center alignment
📝 (inputs.mdx): add margin to image style to improve spacing and center alignment
📝 (inputs.mdx): add margin to image style to improve spacing and center alignment
📝 (inputs.mdx): add margin to image style to improve spacing and center alignment
📝 (inputs.mdx): add margin to image style to improve spacing and center alignment
📝 (inputs.mdx): add margin to image style to improve spacing and center alignment
📝 (inputs.mdx): add margin to image style to improve spacing and center alignment
📝 (inputs.mdx): add margin to image style to improve spacing and center alignment
📝 (inputs.mdx): add margin to image style to improve spacing and center alignment
📝 (inputs.mdx): add margin to image style to improve spacing and center alignment
📝 (inputs.mdx): add margin to image style to improve spacing and center alignment
📝 (inputs.mdx): add margin to image style to improve spacing and center alignment
📝 (inputs.mdx): add margin to image style to improve spacing and center alignment
📝 (inputs.mdx): add margin to image style to improve spacing and center alignment
📝 (inputs.mdx): add margin to image style to improve spacing and center alignment
📝 (inputs.mdx): add margin to image style to improve spacing and center alignment
📝 (inputs.mdx): add margin to image style to improve spacing and center alignment
📝 (inputs.mdx): add margin to image style to improve spacing and center alignment
📝 (inputs.mdx): add margin to image style to improve spacing and center alignment
📝 (inputs.mdx): add margin to image style to improve spacing and center alignment
📝 (inputs.mdx): add margin to image style to improve spacing and center alignment
📝 (inputs.mdx): add margin to image style to improve spacing and center alignment
📝 (inputs.mdx): add margin to image style to improve spacing and center alignment
📝 (inputs.mdx): add margin to image style to improve spacing and center alignment
📝 (inputs.mdx): add margin to image style to improve spacing and center alignment
📝 (inputs.mdx): add margin to image style to improve spacing and center alignment
📝 (inputs.mdx): add margin to image style to improve spacing and center alignment
📝 (inputs.mdx): add margin to image style to improve spacing and center alignment
📝 (inputs.mdx): add margin to image style to improve spacing and center alignment
📝 (inputs.mdx): add margin to image style to improve spacing and center alignment
📝 (inputs.mdx): add margin to image style to improve spacing and center alignment
📝 (inputs.mdx): add margin to image style to improve spacing and center alignment
📝 (inputs.mdx): add margin to image style to improve spacing and center alignment
📝 (inputs.mdx): add margin to image style to improve spacing and center alignment
📝 (inputs.mdx): add margin to image style to improve spacing and center alignment
📝 (inputs.mdx): add margin to image style to improve spacing and center alignment
📝 (inputs.mdx): add margin to image style to improve spacing and center alignment
📝 (inputs.mdx): add margin to image style to improve spacing and center alignment
📝 (inputs.mdx): add margin to image style to improve spacing and center alignment
📝 (inputs.mdx): add margin to image style to improve spacing and center alignment
📝 (inputs.mdx): add margin to image style to improve spacing and center alignment
📝 (inputs.mdx): add margin to image style to improve spacing and center alignment
📝 (inputs.mdx): add margin to image style to improve spacing and center alignment
📝 (rag-with-astradb.mdx): add margin to image styles to improve spacing and readability
* Update welcome message in index.mdx
* Add global variable feature to Langflow documentation
* Reorganized sidebar categories
* Update migration documentation
* Refactor SplitTextComponent class to accept inputs of type Record and Text
* Adjust embeddings docs
* ✨ (cardComponent/index.tsx): add a minimum height to the card component to ensure consistent layout and prevent content from overlapping when the card is empty or has minimal content
* Update flow name from "Ahoy World!" to "Hello, world!"
* Update documentation for embeddings, models, and vector stores
* Update CreateRecordComponent and parameterUtils.ts
* Add documentation for Text and Record types
* Remove commented lines in sidebars.js
* Add run_flow_from_json function to load.py
* Update Langflow package to run flow from JSON file
* Fix type annotations and import errors
* Refactor tests and fix test data
---------
Co-authored-by: Rodrigo Nader <rodrigosilvanader@gmail.com>
Co-authored-by: anovazzi1 <otavio2204@gmail.com>
Co-authored-by: Lucas Oliveira <lucas.edu.oli@hotmail.com>
Co-authored-by: carlosrcoelho <carlosrodrigo.coelho@gmail.com>
Co-authored-by: cristhianzl <cristhian.lousa@gmail.com>
Co-authored-by: Matheus <jacquesmats@gmail.com>
🐛 fix(flows.py): change Flow.from_orm() to Flow.model_validate() to ensure data integrity and validation
🐛 fix(users.py): remove unused import statements to improve code cleanliness and maintainability
🐛 fix(users.py): change User.from_orm() to User.model_validate() to ensure data integrity and validation
🐛 fix(LLMChain.py): remove unused import statements to improve code cleanliness and maintainability
🐛 fix(LLMChain.py): remove unnecessary line breaks to improve code readability
🐛 fix(base.py): remove unused import statements to improve code cleanliness and maintainability
🐛 fix(base.py): remove unnecessary line breaks to improve code readability
🐛 fix(base.py): fix condition to append vertex_id to top_level_vertices to avoid appending non-string values
🐛 fix(vertex/base.py): add parent_node_id attribute to Vertex class to support hierarchical graph structures
🐛 fix(base.py): remove unused import statements to improve code cleanliness and maintainability
🚀 feat(GroupTest): add a new node for a simple chat with a custom prompt template and conversational memory buffer
ℹ️ This commit adds a new node to the GroupTest project. The node is a genericNode with the following properties:
- Width: 384
- Height: 621
- ID: ChatOpenAI-rUJ1b
- Type: genericNode
- Position: x: 170.87326389541306, y: 465.8628482073749
- Data:
- Type: ChatOpenAI
- Node:
- Template:
- Callbacks:
- Required: false
- Placeholder: ""
- Show: false
- Multiline: false
- Password: false
- Name: callbacks
- Advanced: false
- Dynamic: false
- Info: ""
- Type: langchain.callbacks.base.BaseCallbackHandler
- List: true
- Cache:
- Required: false
- Placeholder: ""
- Show: false
- Multiline: false
- Password: false
- Name: cache
- Advanced: false
- Dynamic: false
- Info: ""
- Type: bool
- List: false
- Client:
- Required: false
- Placeholder: ""
- Show: false
- Multiline: false
- Password: false
- Name: client
- Advanced: false
- Dynamic: false
- Info: ""
- Type: Any
- List: false
- Max Retries:
- Required: false
- Placeholder: ""
- Show: false
- Multiline: false
- Value: 6
- Password: false
- Name: max_retries
- Advanced: false
- Dynamic: false
- Info: ""
- Type: int
- List: false
- Max Tokens:
- Required: false
- Placeholder: ""
- Show: true
- Multiline: false
- Password: true
- Name: max_tokens
- Advanced: false
- Dynamic: false
- Info: ""
- Type: int
- List: false
🔧 chore: fix formatting issue in code
📝 docs: update documentation link for `OpenAI` Chat large language models API
🔧 chore: update prompt template configuration in LLMChain node
📝 docs: add documentation link for PromptTemplate in the description
📝 chore(grouped_chat.json): add grouped_chat.json test data file
This commit adds the `grouped_chat.json` file to the `tests/data` directory. The file contains a JSON object representing grouped chat data. This file is necessary for testing and will be used in the test suite.
📝 chore(one_group_chat.json): add one_group_chat.json test data file
This commit adds the one_group_chat.json file, which contains a simple chat with a custom prompt template and conversational memory buffer. This file is used for testing purposes.
🔧 chore: update node configuration for ConversationBufferMemory, ChatOpenAI, and LLMChain
📝 docs: update documentation links for ConversationBufferMemory and LLMChain
🔧 fix: update prompt template in LLMChain to include conversation history and text input variables
🔧 fix: update ConversationBufferMemory node to include description and documentation link
🎨 style: format and organize code for better readability and maintainability
🆕 feat(Vector Store): add Vector Store agent and Vector Store Info node
The Vector Store agent allows querying a Vector Store. It can be used to construct an agent from a Vector Store. The Vector Store Info node provides information about a Vector Store.
The Vector Store agent and Vector Store Info node are added to support the functionality of querying a Vector Store.
🔧 chore: update configuration options in the OpenAI API client
The configuration options in the OpenAI API client have been updated. This commit includes changes to the following options:
- `max_tokens`: Removed the `required` flag and set `show` to `true`
- `metadata`: Set `show` to `false`
- `model_kwargs`: Set `show` to `true` and `advanced` to `true`
- `model_name`: Added options `gpt-3.5-turbo-0613`, `gpt-3.5-turbo`, `gpt-3.5-turbo-16k-0613`, `gpt-3.5-turbo-16k`, `gpt-4-0613`, `gpt-4-32k-0613`, `gpt-4`, `gpt-4-32k`
- `n`: Removed the `show` flag
- `openai_api_base`: Added `display_name` as "OpenAI API Base" and updated `info` with additional details
- `openai_api_key`: Removed the `required` flag and set `show` to `true`
- `openai_organization`: Removed the `show` flag
- `openai_proxy`: Removed the `show` flag
- `request_timeout`: Removed the `show` flag
- `streaming`: Removed the `show` flag
- `tags`: Removed the `show` flag
- `temperature`: Removed the `show` flag
- `tiktoken_model_name`: Removed the `show` flag
- `verbose`: Removed the `show` flag
🔧 chore: update configuration for ChatOpenAI and Chroma nodes
The configuration for the ChatOpenAI and Chroma nodes has been updated. This includes changes to the allowed_special, disallowed_special, chunk_size, client, deployment, embedding_ctx_length, and max_retries properties. These changes were made to improve the functionality and performance of the nodes.
🔧 chore(config): update OpenAIEmbeddings-YwSvx configuration options
The OpenAIEmbeddings-YwSvx configuration options have been updated to include new fields and values. This commit updates the configuration file to reflect these changes.
🔧 chore(config): update configuration options for OpenAIEmbeddings and Chroma
🔧 chore(config): update configuration options for OpenAIEmbeddings and Chroma to improve flexibility and customization
🔧 chore: update configuration options for RecursiveCharacterTextSplitter and WebBaseLoader in flow
The configuration options for RecursiveCharacterTextSplitter and WebBaseLoader in the flow have been updated. The changes include:
- Persist Directory - Chroma: The persist directory option for Chroma has been modified.
- Search Kwargs - Chroma: The search kwargs option for Chroma has been modified.
- Chunk Overlap - RecursiveCharacterTextSplitter: The chunk overlap option for RecursiveCharacterTextSplitter has been modified.
- Chunk Size - RecursiveCharacterTextSplitter: The chunk size option for RecursiveCharacterTextSplitter has been modified.
- Separator Type - RecursiveCharacterTextSplitter: The separator type option for RecursiveCharacterTextSplitter has been modified.
- Separator - RecursiveCharacterTextSplitter: The separator option for RecursiveCharacterTextSplitter has been modified.
- Metadata - WebBaseLoader: The metadata option for WebBaseLoader has been modified.
- Web Page - WebBaseLoader: The web page option for WebBaseLoader has been modified.
🔧 chore(OpenAIEmbeddings): update OpenAIEmbeddings configuration options
The OpenAIEmbeddings node configuration options have been updated to include the following changes:
- `allowed_special` and `disallowed_special` now accept a list of values instead of a single value
- `chunk_size` now accepts an integer value
- `deployment` now accepts a string value
- `embedding_ctx_length` now accepts an integer value
- `headers` now supports multiline values
- `max_retries` now accepts an integer value
- `model` now accepts a string value
- `model_kwargs` now accepts code input
- `openai_api_base` now accepts a password input
- `openai_api_key` now accepts a password input
- `openai_api_type` now accepts a password input
- `openai_api_version` now accepts a password input
- `openai_organization` has been removed from the configuration options
🔧 chore: update OpenAIEmbeddings configuration options in the UI
The OpenAIEmbeddings configuration options in the UI have been updated to include the following changes:
- Added the `openai_organization` option to specify the OpenAI organization.
- Added the `openai_proxy` option to configure the OpenAI proxy.
- Added the `request_timeout` option to set the request timeout.
- Added the `show_progress_bar` option to control the visibility of the progress bar.
- Changed the `tiktoken_model_name` option to be a password field.
- Updated the documentation link for OpenAIEmbeddings.
This commit updates the configuration options to improve the usability and functionality of the OpenAIEmbeddings module in the UI.
🔧 chore: clean up unused code and remove unnecessary fields in the configuration file
📝 docs: update documentation link for the Chroma vectorstore module
🔧 chore: update configuration options for RecursiveCharacterTextSplitter in flow
The configuration options for the RecursiveCharacterTextSplitter node in the flow have been updated. The following changes were made:
- `chunk_size` option: The default value has been changed to 1000.
- `separator_type` option: The available options have been updated to include "Text", "cpp", "go", "html", "java", "js", "latex", "markdown", "php", "proto", "python", "rst", "ruby", "rust", "scala", "sol", and "swift".
- `separators` option: The default value has been changed to ".".
These changes were made to improve the usability and flexibility of the RecursiveCharacterTextSplitter node in the flow.
📝 chore(vector_store_grouped.json): add vector_store_grouped.json test data file
🔀 chore(vector_store_grouped.json): add vector_store_grouped.json test data file
🔨 refactor(test_graph.py): reformat import statements and improve code readability
🔨 refactor(test_prompts_template.py): change dynamic attribute to True for input variables, output parser, partial variables, template, and validate template
🔨 refactor(test_template.py): reformat import statements and remove duplicate import of BaseModel
🔨 refactor(test_template.py): update value for options in format_dict test
🔧 chore(conftest.py): add new path for vector_store_grouped.json file to improve test coverage
🆕 feat(Vector Store): add Vector Store agent and Vector Store Info node
The Vector Store agent allows querying a Vector Store. It can be used to construct an agent from a Vector Store. The Vector Store Info node provides information about a Vector Store.
The Vector Store agent and Vector Store Info node are added to support the functionality of querying a Vector Store.
🔧 chore: update configuration options in the code
📝 docs: add information about the OpenAI API Base configuration option in the code comments
🔧 chore: update configuration for ChatOpenAI and Chroma nodes
📝 docs: update documentation for ChatOpenAI and Chroma nodes
🔧 chore(config): update OpenAIEmbeddings-YwSvx configuration options
The OpenAIEmbeddings-YwSvx configuration options have been updated to include new fields and values. This commit updates the configuration file to reflect these changes.
🔧 chore(config): update configuration options for OpenAIEmbeddings and Chroma
🔧 chore(config): update configuration options for OpenAIEmbeddings and Chroma to improve flexibility and customization
🔧 chore(config): update configuration options for RecursiveCharacterTextSplitter and WebBaseLoader
📝 docs(config): update configuration options for RecursiveCharacterTextSplitter and WebBaseLoader in documentation
🔧 chore(OpenAIEmbeddings): update OpenAIEmbeddings configuration options
The OpenAIEmbeddings node configuration options have been updated to include the following changes:
- `allowed_special` and `disallowed_special` now accept a list of values instead of a single value
- `chunk_size` now accepts an integer value
- `deployment` now accepts a string value
- `embedding_ctx_length` now accepts an integer value
- `headers` now supports multiline values
- `max_retries` now accepts an integer value
- `model` now accepts a string value
- `model_kwargs` now accepts code input
- `openai_api_base` now accepts a password input
- `openai_api_key` now accepts a password input
- `openai_api_type` now accepts a password input
- `openai_api_version` now accepts a password input
- `openai_organization` has been removed from the configuration options
🔧 chore: update OpenAIEmbeddings configuration options in the UI
The OpenAIEmbeddings configuration options in the UI have been updated to include the following changes:
- Added the `openai_organization` option to specify the OpenAI organization.
- Added the `openai_proxy` option to configure the OpenAI proxy.
- Added the `request_timeout` option to set the request timeout.
- Added the `show_progress_bar` option to control the display of progress bars.
- Added the `tiktoken_model_name` option to specify the Tiktoken model name.
These changes improve the flexibility and customization of the OpenAI embedding models.
🔧 chore: clean up unused code and remove unnecessary fields in the configuration file
📝 docs: update documentation link for the Chroma vectorstore module
🔧 fix: fix formatting issue in chunk_size field in RecursiveCharacterTextSplitter node configuration
🔧 fix: fix formatting issue in separator_type field in RecursiveCharacterTextSplitter node configuration
🔧 fix: fix formatting issue in separators field in RecursiveCharacterTextSplitter node configuration
📝 chore(vector_store_grouped.json): add vector_store_grouped.json test data file
🔀 chore(vector_store_grouped.json): add vector_store_grouped.json test data file
✅ test(graph.py): add test case for processing flow with grouped nodes and vector store
🔍 test(graph.py): add assertions to verify the correctness of the processed flow with grouped nodes and vector store
🔧 test(graph.py): update test case for updating template to make a deep copy of sample_nodes to keep it unchanged
🔧 chore(conftest.py): add one_grouped_chat_json_flow fixture to read and return the contents of the one_group_chat.json file
📝 chore(one_group_chat.json): add one_group_chat.json test data file
This commit adds the one_group_chat.json file to the tests/data directory. The file contains a simple chat with a custom prompt template and conversational memory buffer. It is used for testing purposes.
🔧 chore: update node configuration for ConversationBufferMemory, ChatOpenAI, and LLMChain
📝 docs: update documentation links for ConversationBufferMemory and LLMChain
🔧 fix: update prompt template in LLMChain to include conversation history and text input variables
🔧 fix: update ConversationBufferMemory node to include description and documentation links
🎨 style: format and organize code for better readability and maintainability
🐛 fix(conftest.py): update LANGFLOW_REDIS_HOST and BROKER_URL environment variables to use "result_backend" instead of "queue" for better clarity and accuracy
🔧 fix(endpoints.py): move import statement to the top of the file for better organization and readability
🔧 fix(getters.py): change service type from DATABASE_MANAGER to DATABASE_SERVICE for consistency and clarity
🔧 fix(getters.py): change service type from CACHE_MANAGER to CACHE_SERVICE for consistency and clarity
🔧 fix(getters.py): change service type from SESSION_MANAGER to SESSION_SERVICE for consistency and clarity
🔧 fix(getters.py): change service type from TASK_MANAGER to TASK_SERVICE for consistency and clarity
🔧 fix(getters.py): remove unused function get_chat_service() to improve code cleanliness and maintainability
🔧 fix(getters.py): remove duplicate function get_settings_service() to improve code cleanliness and maintainability
🔧 fix(getters.py): remove duplicate function get_db_service() to improve code cleanliness and maintainability
🔧 fix(getters.py): remove duplicate function get_session() to improve code cleanliness and maintainability
🔧 fix(utils.py): remove unused import statement to improve code cleanliness and maintainability
🔧 fix(utils.py): remove unused function setup_superuser() to improve code cleanliness and maintainability
🔧 fix(utils.py): remove unused function teardown_superuser() to improve code cleanliness and maintainability
🔧 fix(utils.py): remove unused function teardown_services() to improve code cleanliness and maintainability
🔧 fix(utils.py): remove unused function initialize_settings_manager() to improve code cleanliness and maintainability
🔧 fix(utils.py): remove unused function initialize_session_manager() to improve code cleanliness and maintainability
🔧 fix(utils.py): remove unused function initialize_services() to improve code cleanliness and maintainability
🔧 fix(conftest.py): remove unused import statement to improve code cleanliness and maintainability
🔧 fix(conftest.py): remove unused function get_session_override() to improve code cleanliness and maintainability
🔧 fix(conftest.py): remove unused function distributed_client_fixture() to improve code cleanliness and maintainability
🔧 fix(conftest.py): remove unused function client_fixture() to improve code cleanliness and maintainability
🔧 fix(conftest.py): remove unused function test_user() to improve code cleanliness and maintainability
🔧 fix(conftest.py): remove unused function active_user
🐛 fix(test_endpoints.py): update import statements to use get_db_service instead of get_db_manager to improve code semantics
🐛 fix(test_login.py): update import statements to use get_db_service instead of get_db_manager to improve code semantics
🐛 fix(test_setup_superuser.py): update import statements to use get_db_service instead of get_db_manager to improve code semantics
🐛 fix(test_user.py): update import statements to use get_db_service instead of get_db_manager to improve code semantics
