🐛 fix(base.py): remove 'suffixes' attribute from TemplateFieldCreator class as it is duplicate and not used
🐛 fix(base.py): change 'suffixes' to 'file_types' in TOOL_INPUTS dictionary to improve consistency and readability
🐛 fix(base.py): remove 'suffixes' attribute from TemplateFieldCreator class as it is duplicate and not used
🐛 fix(frontend_node/base.py): remove 'suffixes' attribute from FrontendNode class as it is duplicate and not used
🐛 fix(frontend_node/documentloaders.py): remove 'suffixes' attribute from build_file_field function as it is duplicate and not used
🐛 fix(frontend_node/documentloaders.py): remove 'suffixes' attribute from file_path_templates dictionary as it is duplicate and not used
🐛 fix(frontend_node/documentloaders.py): remove 'suffixes' attribute from build_file_field function as it is duplicate and not used
🐛 fix(frontend_node/documentloaders.py): remove 'suffixes' attribute from file_path_templates dictionary as it is duplicate and not used
🐛 fix(frontend_node/documentloaders.py): remove 'suffixes' attribute from build_file_field function as it is duplicate and not used
🐛 fix(frontend_node/documentloaders.py): remove 'suffixes' attribute from file_path_templates dictionary as it is duplicate and not used
🐛 fix(frontend_node/documentloaders.py): remove 'suffixes' attribute from build_file_field function as it is duplicate and not used
🐛 fix(frontend_node/documentloaders.py): remove 'suffixes' attribute from file_path_templates dictionary as it is duplicate and not used
🐛 fix(frontend_node/documentloaders.py): remove 'suffixes' attribute from build_file_field function as it is duplicate and not used
🐛 fix(frontend_node/documentloaders.py): remove 'suffixes' attribute from file_path_templates dictionary as it is duplicate and not used
🐛 fix(frontend_node/documentloaders.py): remove 'suffixes' attribute from build_file_field function as it is duplicate and not used
🐛 fix(frontend_node/documentloaders.py): remove 'suffixes' attribute from
🐛 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(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_user.py): update error message and details for invalid UUID input in test_patch_user_wrong_id and test_delete_user_wrong_id to provide more specific information
✨ feat(__main__.py): add 'store' option to the run command to enable/disable store feature
🔧 fix(store.py): add check_if_store_is_enabled endpoint to check if store feature is enabled
✨ feat(store.py): add get_tags endpoint to retrieve tags from the store
🔧 fix(base.py): add STORE setting to enable/disable store feature
🔧 fix(schema.py): rename 'likes_count' field to 'liked_by_count' in ComponentResponse and ListComponentResponse
🔧 fix(service.py): change default sorting in query_components function to sort by 'count(liked_by)'
✅ test(test_store.py): update sort parameter in test_search_components to 'count(liked_by)'
The test covers the search_components function in the StoreService class. It mocks the response from the HTTP GET request and asserts that the request was made with the correct parameters. It also asserts that the search method returns a list of ComponentResponse objects.
The test_process_flow_vector_store_grouped function now includes assertions to check if the expected keywords are present in the source and target fields of the edges in the processed_flow dictionary. This ensures that the processing of the flow vector store grouped JSON is correctly generating the edges with the expected connections between nodes.
🐛 fix(base.py): change assignment of parent_node_id and parent_is_top_level to use state dictionary instead of _data attribute
🐛 fix(test_graph.py): change arguments passed to update_source_handle() function to match its signature
🔧 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
