🐛 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
✨ feat(tests): add assertion for response status code 201 after creating a user
🐛 fix(tests): update endpoint path from "/api/v1/user/{user_id}" to "/api/v1/users/{user_id}" for consistency and clarity
🐛 fix(tests): update endpoint path from "/api/v1/user" to "/api/v1/users/whoami" to fetch the updated user
🐛 fix(tests): update endpoint path from "/api/v1/user/{user_id}" to "/api/v1/users/{user_id}" for consistency and clarity
🐛 fix(tests): update endpoint path from "/api/v1/user/{user_id}" to "/api/v1/users/{user_id}" for consistency and clarity
✨ feat(tests): add assertion for response status code 401 and detail message after fetching the updated user
✨ feat(tests): add assertion for response status code 200 after deleting a user
🐛 fix(tests): update endpoint path from "/api/v1/user/{user_id}" to "/api/v1/users/{user_id}" for consistency and clarity
✨ feat(tests): add assertion for response status code 200 and detail message after deleting a user
🐛 fix(tests): update endpoint path from "/api/v1/user/{user_id}" to "/api/v1/users/{user_id}" for consistency and clarity
🐛 fix(tests): update endpoint path from "/api/v1/user/{user_id}" to "/api/v1/users/{user_id}" for consistency and clarity
✨ feat(tests): add assertion for response status code 304 after patching user data
✨ feat(tests): add assertion for response status code 200 after resetting user password
🐛 fix(tests): update endpoint path from "/api/v1/user/{user_id}" to "/api/v1/users/{user_id}" for consistency and clarity
✨ feat(tests): add assertion for response status code 422 and detail message after patching user data with wrong id
🐛 fix(tests): update endpoint path from "/api/v1/user/{user_id}" to "/api/v1/users/{user_id}" for consistency and clarity
✨ feat(tests): add assertion for response
🔧 chore(conftest.py): add pytest fixture for loading JSON flow with prompt and history
🔧 chore(conftest.py): add pytest fixture for adding a flow with prompt and history to the database
✨ feat(conftest.py): add fixture 'flow' to create a test flow in tests/conftest.py
🐛 fix(test_endpoints.py): import missing get_settings_manager function in tests/test_endpoints.py to fix NameError
✨ feat(test_endpoints.py): add test case 'test_process_flow_without_autologin' to test flow processing without auto login
🐛 fix(test_endpoints.py): fix incorrect endpoint URL in test case 'test_process_flow_without_autologin' in tests/test_endpoints.py
✨ feat(test_endpoints.py): add test case 'test_process_flow_fails_autologin_off' to test flow processing failure when auto login is off
🐛 fix(base.py): add optional user_id parameter to _build and _build_list_of_nodes_and_update_params methods in Vertex class to support building with user-specific data
🐛 fix(base.py): add optional user_id parameter to _get_and_instantiate_class method in Vertex class to support building with user-specific data
🐛 fix(custom_component.py): add user_id attribute to CustomComponent class to store the user ID associated with the component
🐛 fix(custom_component.py): add user_id parameter to list_flows method in CustomComponent class to filter flows by user ID
🐛 fix(custom_component.py): add user_id parameter to get_flow method in CustomComponent class to filter flows by user ID
🐛 fix(conftest.py): add client parameter to active_user fixture in tests to fix missing dependency error
✨ feat(test_api_key.py): add tests for API key creation, retrieval, and deletion
✨ feat(test_user.py): remove unused fixtures and imports from test_user.py module
✨ feat(conftest.py): add session_getter fixture to create a blank session for testing
🔧 fix(test_custom_component.py): pass session_getter fixture to list_flows function for testing
The following changes were made:
- Removed the `custom_chain` fixture and the `MyCustomChain` and `CustomChain` classes as they were not being used.
- Removed the `data_processing`, `filter_docs`, `get_request`, and `post_request` fixtures as they were not being used.
🔧 fix(test_agents_template.py): set "dynamic" property to False for all template variables to ensure consistency and improve clarity
🐛 fix(test_chains_template.py): add missing "dynamic" field to template dictionaries to ensure consistency and avoid potential bugs
🔧 fix(test_custom_component.py): fix import statements and remove unused imports to improve code readability and maintainability
✨ feat(test_custom_component.py): add tests for the initialization of the CodeParser, Component, and CustomComponent classes
🔧 fix(test_custom_component.py): fix test names and add missing test cases for the Component and CustomComponent classes
🔨 refactor: refactor server.ts to use uppercase PORT variable for improved semantics
✨ feat: add support for process.env.PORT environment variable to run app on configurable port
🔨 refactor: refactor CustomComponent tests for improved readability and maintainability
🔨 refactor: refactor CodeParser tests for improved readability and maintainability
🔨 refactor: refactor Component tests for improved readability and maintainability
🐛 fix: fix CustomComponent class template validation to raise HTTPException when code is None
🔧 fix(tests): fix syntax error in custom_component._class_template_validation
✨ feat(tests): add test_custom_component_get_code_tree_syntax_error to test CustomComponent.get_code_tree method for raising CodeSyntaxError when given incorrect syntax
✨ feat(tests): add test_custom_component_get_function_entrypoint_args_no_args to test CustomComponent.get_function_entrypoint_args property with a build method with no arguments
✨ feat(tests): add test_custom_component_get_function_entrypoint_return_type_no_return_type to test CustomComponent.get_function_entrypoint_return_type property with a build method with no return type
✨ feat(tests): add test_custom_component_get_main_class_name_no_main_class to test CustomComponent.get_main_class_name property when there is no main class
✨ feat(tests): add test_custom_component_build_not_implemented to test CustomComponent.build method for raising NotImplementedError
✨ feat(tests): add fixtures for custom_chain, data_processing, filter_docs, and get_request
🔧 fix(tests): remove commented out code and unused imports to improve code readability and maintainability
🐛 fix(test_llms_template.py): set "dynamic" property to False for all template properties to ensure static values are used
🐛 fix(test_prompts_template.py): set "dynamic" property to False for all template properties to ensure consistency and improve readability
- Refactor code parsing in `code_parser.py` to handle imports, function definitions, and class attributes more robustly and cleanly.
- Add new methods in `component.py` to parse Assign and AnnAssign statements, and FunctionDef statements.
- Refactor `custom_component.py` to improve the handling of custom components, including better extraction of main class name and template configuration.
- Update `types.py` to better handle the building of custom component templates, including handling of field configurations and error handling.
- Minor formatting fix in `conftest.py` test fixture.
These changes improve the robustness and readability of the code, and provide better handling and validation of custom components.
