🐛 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
🐛 fix(test_database.py): fix function call to Flow.model_validate
🐛 fix(test_llms_template.py): fix values in test cases
🔥 chore(test_store.py): remove unused test file and test case
🔧 fix(endpoints.py): update import statement to reflect changes in module structure
🔧 fix(flows.py): update import statements to reflect changes in module structure
🔧 fix(login.py): update import statement to reflect changes in module structure
🔧 fix(base.py): update import statement to reflect changes in module structure
🔧 fix(base.py): update import statement to reflect changes in module structure
🔧 fix(custom_component.py): update import statement to reflect changes in module structure
🔧 fix(base.py): update import statement to reflect changes in module structure
🔧 fix(base.py): update import statement to reflect changes in module structure
🔧 fix(base.py): update import statement to reflect changes in module structure
🔧 fix(base.py): update import statement to reflect changes in module structure
🔧 fix(base.py): update import statement to reflect changes in module structure
🔧 fix(base.py): update import statement to reflect changes in module structure
🔧 fix(base.py): update import statement to reflect changes in module structure
🔧 fix(base.py): update import statement to reflect changes in module structure
🔧 fix(base.py): update import statement to reflect changes in module structure
🔧 fix(base.py): update import statement to reflect changes in module structure
🔧 fix(base.py): update import statement to reflect changes in module structure
🔧 fix(base.py): update import statement to reflect changes in module structure
🔧 fix(base.py): update import statement to reflect changes in module structure
🔧 fix(base.py): update import statement to reflect changes in module structure
🔧 fix(base.py): update import statement to reflect changes in module structure
🔧 fix(base.py): update import statement to reflect changes in module structure
🔧 fix(base.py): update import statement to reflect changes in module structure
🔧 fix(base.py): update import statement to reflect changes in module structure
🔧 fix(base.py): update import statement to reflect changes in module structure
🔧 fix(base.py): update import statement to reflect changes in module structure
🔧 fix(base.py): update import statement to reflect changes in module structure
🔧 fix(base.py): update import statement to reflect changes in module structure
🔧 fix(process.py): update import statement for get_session_service in langflow.processing.process module to reflect correct module location
🔧 fix(utils.py): update import statement for get_session and get_settings_service in langflow.services.auth.utils module to reflect correct module location
🔧 fix(manager.py): update import statement for ServiceType.CACHE_MANAGER in langflow.services.chat.manager module to reflect correct module location
🔧 fix(manager.py): update import statement for ServiceType.DATABASE_MANAGER in langflow.services.chat.manager module to reflect correct module location
🔧 fix(utils.py): update import statement for get_settings_service in langflow.services.database.manager module to reflect correct module location
🔧 fix(utils.py): update import statement for get_settings_service in langflow.services.database.utils module to reflect correct module location
🔧 fix(getters.py): update import statement for DatabaseManager, SettingsManager, ChatManager in langflow.services.getters module to reflect correct module location
🔧 fix(getters.py): update import statement for get_settings_manager in langflow.services.getters module to reflect correct function name change
🔧 fix(getters.py): update import statement for get_db_manager in langflow.services.getters module to reflect correct function name change
🔧 fix(getters.py): update import statement for get_chat_manager in langflow.services.getters module to reflect correct function name change
🔧 fix(getters.py): update import statement for get_settings_manager in langflow.services.getters module to reflect correct function name change
🔧 fix(getters.py): update import statement for get_db_manager in langflow.services.getters module to reflect correct function name change
🔧 fix(getters.py): update import statement for get_session in langflow.services.getters module to reflect correct function name change
🔧 fix(getters.py): update import statement for get_chat_manager in langflow.services.getters module to reflect correct function name change
🔧 fix(langfuse.py): update import statement for get_settings_service in langflow.services.plugins.langfuse module to reflect correct module location
🔧 fix(schema.py): update import statement for ServiceType.AUTH_MANAGER, ServiceType.CACHE_MANAGER, ServiceType.SETTINGS_MANAGER, ServiceType.DATABASE_MANAGER, ServiceType.CHAT_MANAGER, ServiceType.SESSION_MANAGER, ServiceType.TASK_MANAGER in langflow.services.schema module to reflect correct module location
🔧 fix
🐛 fix(flows.py): change update_flow function signature to include settings_manager as a dependency to improve code readability
🐛 fix(login.py): change auto_login function signature to include settings_manager as a dependency to improve code readability
🐛 fix(users.py): change add_user function signature to include session as a dependency to improve code readability
🐛 fix(users.py): change read_all_users function signature to include session as a dependency to improve code readability
🐛 fix(users.py): change patch_user function signature to include session as a dependency to improve code readability
🐛 fix(users.py): change delete_user function signature to include session as a dependency to improve code readability
🐛 fix(users.py): change add_super_user_for_testing_purposes_delete_me_before_merge_into_dev function signature to include session as a dependency to improve code readability
🐛 fix(flows.py): add missing import statement for TYPE_CHECKING
✨ feat(flows.py): add user_id field to FlowCreate model to allow specifying the user for a new flow
✨ feat(flows.py): add user_id field to FlowRead model to include the user_id in the response
✨ feat(flows.py): add user_id field to Flow model and create a relationship with User model
✨ feat(flows.py): add current_user dependency to create_flow endpoint to set the user_id for a new flow
✨ feat(flows.py): add current_user dependency to read_flows endpoint to filter flows by current user
✨ feat(flows.py): add current_user dependency to read_flow endpoint to filter flow by current user
✨ feat(flows.py): add current_user dependency to update_flow endpoint to filter flow by current user
✨ feat(flows.py): add current_user dependency to delete_flow endpoint to filter flow by current user
✨ feat(flows.py): add current_user dependency to create_flows endpoint to set the user_id for new flows
✨ feat(flows.py): add current_user dependency to upload_file endpoint to set the user_id for new flows
✨ feat(flows.py): add current_user dependency to download_file endpoint to filter flows by current user
🐛 fix(flow.py): add missing import statement for User model
✨ feat(flow.py): add user_id field to Flow model to associate a flow with a user
🐛 fix(schemas.py): change json.dumps to orjson_dumps for improved performance and compatibility with orjson library
🐛 fix(utils.py): change json.loads to orjson.loads for improved performance and compatibility with orjson library
🐛 fix(loading.py): change json.loads to orjson.loads for improved performance and compatibility with orjson library
🐛 fix(utils.py): change json.loads to orjson.loads for improved performance and compatibility with orjson library
🐛 fix(vector_store.py): change json.loads to orjson.loads for improved performance and compatibility with orjson library
🐛 fix(types.py): change json.loads to orjson.loads for improved performance and compatibility with orjson library
🐛 fix(process.py): change json.loads to orjson.loads for improved performance and compatibility with orjson library
✨ feat(server.ts): change port variable case from lowercase port to uppercase PORT to improve semantics
✨ feat(server.ts): add support for process.env.PORT environment variable to be able to run app on a configurable port
🔧 fix(base.py): import orjson instead of json to improve performance and compatibility
🔧 fix(frontend_node/llms.py): use orjson_dumps instead of json.dumps to improve performance and compatibility
🔧 fix(frontend_node/utilities.py): use orjson_dumps instead of json.dumps to improve performance and compatibility
🔧 fix(test_cache.py): import orjson and use orjson_dumps instead of json.dumps to improve performance and compatibility
🔧 fix(test_database.py): import correct json encoder and decoder functions to fix import errors
🔧 fix(test_database.py): replace json.dumps and json.loads with orjson_dumps and orjson.loads for better performance and compatibility
🔧 fix(test_loading.py): remove unused import statement
The conditional statement in the update_flow function was incorrect. The if statement was checking for the opposite of what was intended. The fix changes the if statement to check for the correct condition.
The `save_api_keys` variable has been renamed to `remove_api_keys` to improve the semantics of the code. The new variable name better reflects the functionality of the code, which is to remove API keys from the projects saved in the database.
🔧 chore(__main__.py): change save_api_keys to remove_api_keys to improve semantics
The `remove_api_keys` function is now called on the `flow_data` dictionary if the `save_api_keys` setting is False. This ensures that sensitive information is not saved in the database.
🔨 refactor(parameterComponent): remove unused imports and refactor onChange function to handleOnNewValue
✨ feat(tabsContext): add tabsState and setTabsState to TabsContextType and TabsProvider
🔨 refactor(flowSettingsModal): refactor handleSaveFlow function to update flow and setTabsState with isPending false
The update_flow endpoint now returns a FlowRead response model instead of FlowReadWithStyle. The parameterComponent file has been refactored to remove unused imports and to use a handleOnNewValue function to handle onChange events. The TabsContextType and TabsProvider have been updated to include tabsState and setTabsState. The flowSettingsModal has been refactored to update the flow and setTabsState with isPending false.
🔨 refactor(extraSidebarComponent): add tabsState and setTabsState to TabsContextType
🐛 fix(extraSidebarComponent): disable save button when flow is not pending
🐛 fix(extraSidebarComponent): update flow state after saving
The TabsContextType now includes tabsState and setTabsState to allow for the management of the state of each tab. The save button is now disabled when the flow is not pending. The flow state is now updated after saving to reflect the changes made.
The status codes have been added to the API endpoints to improve the readability of the code and to make it more explicit what the expected response codes are. The status codes have been added to the following endpoints: create_flow, read_flows, read_flow, update_flow, delete_flow, create_flows, upload_file, and download_file.
The imports for the deleted FlowStyle model are removed from flow_styles.py. The comments for the FlowStyleCreate class are updated to reflect the fields it contains.
