fix: artifacts key in object does not have messages property, which gives 'Cannot read properties of undefined (reading reverse) error. So, do not add it to obj variable. Instead, add it to msg object.
* added: Neo4j database connectivity, Neo4j credentials, supports the usage of the GraphCypherQaChain node and modifies the FewShotPromptTemplate node to handle variables from the prefix field.
* Merge branch 'main' of github.com:FlowiseAI/Flowise into feature/graphragsupport
* revert pnpm-lock.yaml
* add: neo4j package
* Refactor GraphCypherQAChain: Update version to 1.0, remove memory input, and enhance prompt handling
- Changed version from 2.0 to 1.0.
- Removed the 'Memory' input parameter from the GraphCypherQAChain.
- Made 'cypherPrompt' optional and improved error handling for prompt validation.
- Updated the 'init' and 'run' methods to streamline input processing and response handling.
- Enhanced streaming response logic based on the 'returnDirect' flag.
* Refactor GraphCypherQAChain: Simplify imports and update init method signature
- Consolidated import statements for better readability.
- Removed the 'input' and 'options' parameters from the 'init' method, streamlining its signature to only accept 'nodeData'.
* add output, format final response, fix optional inputs
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Co-authored-by: Henry <hzj94@hotmail.com>
* feat: Enhance ConditionAgent with conversation history selection options
- Added a new parameter `conversationHistorySelection` to allow users to choose which messages from the conversation history to include in prompts.
- Options include: User Question, Last Conversation Message, All Conversation Messages, and Empty.
- Default selection is set to 'All Conversation Messages' for improved context management in sequential LLM and Agent nodes.
* Bump version from 2.0 to 3.0
* feat: Add Azure Cognitive Services integration for speech-to-text functionality
- Introduced a new credential class for Azure Cognitive Services.
- Updated speech-to-text processing to support Azure Cognitive Services as a provider.
- Enhanced UI components to include Azure Cognitive Services options and inputs for configuration.
- Added necessary imports and error handling for Azure API requests.
* Update SpeechToText.jsx linting
* refactor: Update audio file handling in SpeechToText component
- Removed the dependency on 'form-data' and replaced it with a Blob for audio file uploads.
- Simplified the audio file appending process to the form data.
- Cleaned up the headers in the Axios request by removing unnecessary form data headers.
This change enhances the efficiency of audio file processing in the speech-to-text functionality.
---------
Co-authored-by: Henry Heng <henryheng@flowiseai.com>
Co-authored-by: Henry <hzj94@hotmail.com>
* feat: Add Groq Whisper support to SpeechToText component
- Introduced a new speech-to-text provider, Groq Whisper, in both the backend and UI components.
- Updated SpeechToTextType to include GROQ_WHISPER.
- Implemented Groq client integration for audio transcription with customizable model, language, and temperature options.
- Added UI elements for Groq Whisper configuration, including input fields for model, language, and temperature settings.
* turn speech to text none status to false when other was selected
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Co-authored-by: Henry <hzj94@hotmail.com>
* Update 'Require Approval' button description to clarify dependency on MemoryAgent
* Refine RequiredApproval message description
* Fix message description by removing unscaped character ('\')
* Break line
* docs: clarify and enhance the "Require Approval" description for Agent node
* chore: slight update of the description
* feat: Add option to disable conversation history
- Add new `disableConversationHistory` boolean parameter in LLMNodes.ts and Agent.ts to optionally skip including conversation history in prompts
- Fix potential error in Agent.ts when messages array is empty by adding null safety checks
- Improve memory efficiency by allowing stateless interactions when history isn't needed
* feat: add conversation history filtering options
Replace the disable conversation history feature with a more flexible filtering system that allows selecting:
- User question only
- Last message only
- All messages (default)
- No messages
This provides more granular control over conversation context management.
* chore: break lines
* chore: removed ending semi columns
* chore: fix eslint errors
* fix(sequentialagents): improve conversation history filtering logic
- Remove unnecessary state.messages check for user_question case
- Add proper null handling for last_message and all_messages cases
- Remove @ts-ignore comments with proper typing
* Update LLMNode.ts
* Update Agent.ts
---------
Co-authored-by: Henry Heng <henryheng@flowiseai.com>
* feat(models): add Llama 3.3 70B models to groqChat
Add Meta's latest Llama 3.3 70B models to groqChat options:
- llama-3.3-70b-versatile: New versatile model for general tasks
- llama-3.3-70b-specdec: Specialized model for specific tasks
These models offer comparable quality to Llama 3.1 405B at 1/5th the size,
with improvements in:
- Reasoning and math capabilities
- General knowledge tasks
- Instruction following
- Tool use and JSON outputs
- Code generation and feedback
* Revert minor version bump
Henry Heng
Lucas Mohallem Ferraz
Ryan Halliday
Ahmed Rowaihi
Tomoki Yokoyama
Sunny Modi
Aaron
Danila
Elon Zito
Nguyễn Đức Hùng
Hans
Anthony Bryan Gavilan Vinces
Jérémy JOURDIN
Kenny Yap
Karlo Benčić
Pavel Nasovich
Abhishek Patil
vijaykammili
Jean Ibarz
Eduard-Constantin Ibinceanu
richersoon
Henry
Danilo Ferreira
Ajay Satish