🔧 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
✅ test(test_user.py): add test to create a super user for testing purposes and ensure it returns the correct response
🔥 chore(utils.py): remove unused functions run_post and poll_task_status to clean up code
ℹ️ This commit adds a new node called "Basic Chat with Prompt and History" to the project. This node is a simple chat implementation with a custom prompt template and a conversational memory buffer.
The node has the following properties:
- Width: 384
- Height: 621
- ID: ChatOpenAI-N0ogT
- Type: genericNode
- Position: {x: 148.32546232493678, y: 675.5574028128048}
The node contains various configuration options for the ChatOpenAI component, including:
- Callbacks: A list of callback handlers
- Cache: A boolean indicating whether to use caching
- Client: An optional client object
- Max retries: The maximum number of retries
- Max tokens: The maximum number of tokens for the chat response (password field)
- Metadata: Additional metadata for the chat
- Model kwargs: Advanced model configuration options
- Model name: The name of the model to use (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: The number of chat responses to generate
- OpenAI API Base: The base URL of the OpenAI API
- OpenAI API Key: The API key for the OpenAI API
This node allows for creating a basic chat interface with customizable prompts and a history buffer for maintaining conversation context.
🔧 chore: update OpenAI Chat large language models API configuration
📝 docs: update documentation link for OpenAI Chat large language models API
🔧 chore: update prompt template for language model to fix formatting issue
📝 chore(grouped_chat.json): add grouped_chat.json test data file
The grouped_chat.json file is added to the tests/data directory. This file contains a large JSON object representing a grouped chat. It is used for testing purposes.
🚀 feat(test_graph.py): add new tests and fixtures to improve test coverage and ensure correctness of graph module functions
🐛 fix(test_graph.py): fix incorrect function name in test_find_last_node
🔧 chore(test_graph.py): refactor test_get_node_neighbors_complex to be commented out for now, as it is incomplete and causing test failures
ℹ️ This commit adds a new node called "Basic Chat with Prompt and History (2)" to the chat application. This node is responsible for creating a simple chat interface with a custom prompt template and a conversational memory buffer.
The node configuration includes various properties such as callbacks, cache, client, max_retries, max_tokens, metadata, model_kwargs, model_name, n, openai_api_base, openai_api_key, openai_organization, openai_proxy, and more.
This new node enhances the chat functionality by providing a more interactive and dynamic chat experience for users.
📝 chore(tests): add BasicChatwithPromptandHistory.json test data file for testing purposes
🔧 fix(test_endpoints.py): remove unused imports and trailing whitespace
✅ test(test_endpoints.py): add test for basic chat in process endpoint to verify correct response and session_id generation
✅ test(test_endpoints.py): add test for basic chat with different session_ids to verify correct response
✅ test(test_endpoints.py): add test for basic chat with two session_ids and names to verify correct response
The Swagger API overview and paths have been updated to reflect the latest changes in the API. The changes include adding support for a new environment variable, `process.env.PORT`, to allow the application to run on a configurable port. Additionally, the Swagger API documentation has been updated to reflect the latest API version and routes.
🔍 chore(links): update links to use HTTPS instead of HTTP
The links were updated to use HTTPS instead of HTTP to improve security and prevent potential man-in-the-middle attacks.
🚨 fix(Openapi.json): fix invalid JSON syntax by removing trailing comma
The Openapi.json file had an invalid JSON syntax due to a trailing comma in the "file_path" field. This commit removes the trailing comma to fix the syntax error.
🔥 chore(test_graph.py): remove unnecessary comments and assertions
🚀 feat(test_graph.py): add file creation and deletion to test_file_tool_node_build and test_toolkit_node_build
The comments and assertions that were removed were unnecessary and did not add any value to the code. The test_file_tool_node_build and test_toolkit_node_build tests now create a file and delete it after the test is run. This ensures that the tests are self-contained and do not leave any artifacts behind.
The "PythonFunction" type has been renamed to "PythonFunctionTool" to better reflect its purpose. Additionally, two new fields have been added: "description" and "name". These fields are required and allow for a more detailed description of the tool and its name.
