🔧 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
✨ feat(utils.py): add support for nested proxy dictionary in template to handle field and id separately
✅ test(test_graph.py): add test cases for process_flow function to ensure correct processing of grouped chat data
✅ test(test_graph.py): add test cases for update_template function to ensure correct updating of template
🔧 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
The code was removing the "code" template for CustomComponent by setting its "show" property to false. However, this code is no longer needed and has been removed to simplify the logic and improve maintainability.
🐛 fix(utils.py): change condition from `node["data"]["node"]["flow"]` to `node["data"]["node"].get("flow")` to handle cases where "flow" key is missing in node data
🐛 fix(utils.py): fix incorrect variable name in get_updated_edges function, change `new_edge` to `edge` in the condition
🐛 fix(chat.py): remove unused variable 'valid' to improve code readability
🐛 fix(chat.py): fix indentation of 'yield' statement to match the surrounding code
🐛 fix(chat.py): fix indentation of 'yield' statement to match the surrounding code
🐛 fix(chat.py): fix indentation of 'yield' statement to match the surrounding code
🐛 fix(chat.py): fix indentation of 'yield' statement to match the surrounding code
🐛 fix(chat.py): fix indentation of 'yield' statement to match the surrounding code
🐛 fix(chat.py): fix indentation of 'yield' statement to match the surrounding code
🐛 fix(chat.py): fix indentation of 'yield' statement to match the surrounding code
🐛 fix(chat.py): fix indentation of 'yield' statement to match the surrounding code
🐛 fix(chat.py): fix indentation of 'yield' statement to match the surrounding code
🐛 fix(chat.py): fix indentation of 'yield' statement to match the surrounding code
🐛 fix(chat.py): fix indentation of 'yield' statement to match the surrounding code
🐛 fix(chat.py): fix indentation of 'yield' statement to match the surrounding code
🐛 fix(chat.py): fix indentation of 'yield' statement to match the surrounding code
🐛 fix(chat.py): fix indentation of 'yield' statement to match the surrounding code
🐛 fix(chat.py): fix indentation of 'yield' statement to match the surrounding code
🐛 fix(chat.py): fix indentation of 'yield' statement to match the surrounding code
🐛 fix(chat.py): fix indentation of 'yield' statement to match the surrounding code
🐛 fix(chat.py): fix indentation of 'yield' statement to match the surrounding code
🐛 fix(chat.py): fix indentation of 'yield' statement to match the surrounding code
🐛 fix(chat.py): fix indentation of 'yield' statement to match the surrounding code
🐛 fix(chat.py): fix indentation of 'yield' statement to match the surrounding code
🐛 fix(chat.py): fix indentation of 'yield' statement to match the surrounding code
🐛 fix(chat.py): fix indentation of 'yield' statement to match the surrounding code
🐛 fix(chat.py
- Update the version of the package "langflow" from "0.5.0b6" to "0.5.0" to indicate a stable release.
- Update the version of the package "fastapi" from "^0.100.0" to "^0.103.0" to use the latest version.
- Update the version of the package "uvicorn" from "^0.22.0" to "^0.23.0" to use the latest version.
- Update the version of the package "langchain" from "^0.0.306" to "^0.0.308" to use the latest version.
- Update the version of the package "tiktoken" from "~0.4.0" to "~0.5.0" to use the latest version.
- Update the version of the package "cohere" from "^4.21.0" to "^4.27.0" to use the latest version.
- Update the version of the package "alembic" from "^1.11.2" to "^1.12.0" to use the latest version.
- Update the version of the package "metal-sdk" from "^2.0.2" to "^2.2.0" to use the latest version.
These updates ensure that the project is using the latest versions of the dependencies and takes advantage of any bug fixes or new features introduced in the updated versions.
The "CLASSES_TO_REMOVE" list in the constants.py file has been updated to include the "RunnableSerializable" class. This change was made to ensure that the "RunnableSerializable" class is properly removed when processing the list of classes to remove.
📝 docs(README.md): update langflow command in HuggingFace Spaces section to 'langflow run' for clarity and consistency
📝 docs(README.md): remove empty line in README.md file
✨ feat(anyio.py): add name attribute to AnyIOBackend class to identify the backend by name
✨ feat(celery.py): add name attribute to CeleryBackend class to identify the backend by name
✨ feat(manager.py): add backend_name property to TaskService class to get the name of the backend
🔧 chore(api_key.py): make last_used_at field nullable in ApiKeyBase model
🔧 chore(flow.py): make data field nullable in FlowBase model
🔧 chore(user.py): make profile_image field nullable in User model
