🐛 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_prompts_template.py): fix value of validate_template to False to align with expected behavior
🐛 fix(test_template.py): update value of options to "gpt-4-1106-preview" to reflect the latest version
🐛 fix(test_template.py): update type annotation in test_format_dict function to reflect the correct type of the field
🐛 fix(test_prompts_template.py): update type annotation in test_prompt_template function to reflect the correct type of the field
🐛 fix(api_key.py): import correct function for get_session in langflow/api/v1/api_key.py
🐛 fix(chat.py): import correct function for get_chat_manager and get_session in langflow/api/v1/chat.py
🐛 fix(components.py): import correct function for get_session in langflow/api/v1/components.py
🐛 fix(endpoints.py): import correct function for get_session and get_settings_manager in langflow/api/v1/endpoints.py
🐛 fix(flows.py): import correct function for get_session and get_settings_manager in langflow/api/v1/flows.py
🐛 fix(login.py): import correct function for get_session and get_settings_manager in langflow/api/v1/login.py
🐛 fix(users.py): import correct function for get_session in langflow/api/v1/users.py
🐛 fix(base.py): import correct function for get_settings_manager in langflow/interface/agents/base.py
🐛 fix(base.py): import correct function for get_settings_manager in langflow/interface/base.py
🐛 fix(base.py): import correct function for get_settings_manager in langflow/interface/chains/base.py
🐛 fix(custom_component.py): import correct function for get_db_manager in langflow/interface/custom/custom_component.py
🐛 fix(base.py): import correct function for get_settings_manager in langflow/interface/document_loaders/base.py
🐛 fix(base.py): import correct function for get_settings_manager in langflow/interface/embeddings/base.py
🐛 fix(base.py): import correct function for get_settings_manager in langflow/interface/llms/base.py
🐛 fix(base.py): import correct function for get_settings_manager in langflow/interface/memories/base.py
🐛 fix(base.py): import correct function for get_settings_manager in langflow/interface/output_parsers/base.py
🐛 fix(base.py): import correct function for get_settings_manager in langflow/interface/prompts/base.py
🐛 fix(base.py): import correct function for get_settings_manager in langflow/interface/retrievers/base.py
🐛 fix(base.py): update import statement for get_settings_manager function to reflect new module location
🐛 fix(base.py): update import statement for get_settings_manager function to reflect new module location
🐛 fix(base.py): update import statement for get_settings_manager function to reflect new module location
🐛 fix(base.py): update import statement for get_settings_manager function to reflect new module location
🐛 fix(base.py): update import statement for get_settings_manager function to reflect new module location
🐛 fix(base.py): update import statement for get_settings_manager function to reflect new module location
🐛 fix(base.py): update import statement for get_settings_manager function to reflect new module location
🐛 fix(base.py): update import statement for get_settings_manager function to reflect new module location
🐛 fix(base.py): update import statement for get_settings_manager function to reflect new module location
🐛 fix(base.py): update import statement for get_settings_manager function to reflect new module location
🐛 fix(base.py): update import statement for get_settings_manager function to reflect new module location
🐛 fix(base.py): update import statement for get_settings_manager function to reflect new module location
🐛 fix(base.py): update import statement for get_settings_manager function to reflect new module location
🐛 fix(base.py): update import statement for get_settings_manager function to reflect new module location
🐛 fix(base.py): update import statement for get_settings_manager function to reflect new module location
🐛 fix(base.py): update import statement for get_settings_manager function to reflect new module location
🐛 fix(base.py): update import statement for get_settings_manager function to reflect new module location
🐛 fix(base.py): update import statement for get_settings_manager function to reflect new module location
🐛 fix(base.py): update import statement for get_settings_manager function to reflect new module location
🐛 fix(base.py): update import statement for get_settings_manager function to reflect new module location
🐛 fix(base.py): update import statement for get_settings_manager function to reflect new module location
🐛 fix(base.py): update import statement for get_settings_manager function to reflect new module location
🐛 fix(base.py): update import statement for get_settings_manager function to reflect new module location
🐛 fix(base.py): update import statement for get_settings_manager function to reflect
🔧 fix(test_user.py): update import statement for get_settings_manager to reflect new module structure
🔧 fix(test_user.py): update variable names for superuser and superuser password to match new naming convention
🔧 fix(test_user.py): update variable names for superuser and superuser password to match new naming convention
🔧 fix(test_vectorstore_template.py): update import statement for get_settings_manager to reflect new module structure
🔧 fix(test_chains_template.py): update test functions to include logged_in_headers parameter to test authenticated requests
🔧 fix(test_endpoints.py): update test_get_all function to include logged_in_headers parameter to test authenticated requests
🔧 fix(test_llms_template.py): update test functions to include logged_in_headers parameter to test authenticated requests
🔧 fix(test_prompts_template.py): update test functions to include logged_in_headers parameter to test authenticated requests
🔧 fix(test_vectorstore_template.py): update test functions to include logged_in_headers parameter to test authenticated requests
🔧 fix(test_prompts_template.py): update import statement to use get_settings_manager function from langflow.services.utils module
🔧 fix(test_vectorstore_template.py): update import statement to use get_settings_manager function from langflow.services.utils module
🔧 fix(test_llms_template.py): update assertion to use settings from settings_manager instead of settings module
🔧 fix(test_prompts_template.py): update assertion to use settings from settings_manager instead of settings module
🔧 fix(test_vectorstore_template.py): update assertion to use settings from settings_manager instead of settings module
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
🔧 fix(test_endpoints.py): update test_get_all to assert "PromptTemplate" instead of "ZeroShotPrompt"
🔧 fix(test_endpoints.py): update test_valid_prompt and test_invalid_prompt to use PROMPT_REQUEST variable
🔧 fix(test_endpoints.py): update test_various_prompts to use PROMPT_REQUEST variable
🔧 fix(test_prompts_template.py): remove test_zero_shot_prompt as it is no longer needed
The import statement for TimeTravelGuideChainNode is fixed to ensure the correct module is imported. The test_get_all function is updated to assert the presence of "PromptTemplate" instead of "ZeroShotPrompt" in the response. The test_valid_prompt, test_invalid_prompt, and test_various_prompts functions are updated to use the PROMPT_REQUEST variable for the request payload. The test_zero_shot_prompt function is removed as it is no longer needed.
The API endpoint URLs have been updated to include the version number to improve the API's versioning and maintainability. The changes were made to the server.ts file and the tests that use the API endpoints.
🐛 fix(tests): update API endpoint paths in test files
The API endpoint paths in the test files were outdated and have been updated to reflect the current API version. This ensures that the tests are running against the correct endpoints and that the tests are up-to-date with the current API version.
The "suffix" and "prefix" fields have been changed from type "str" to "prompt" to allow for more flexibility in the input. The "format_instructions" field has been updated to be required and multiline, and to show the instructions by default. This change will make it easier for users to understand the expected input format.
