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Chore/API for AgentflowV2 (#4696)
* Enhancement: Introduce prepended chat history handling in Agent and LLM nodes. - Added support for `prependedChatHistory` in both `Agent` and `LLM` classes to allow for initial message context. - Implemented validation for history schema in execution flow to ensure proper format. - Refactored utility functions to include JSON sanitization and validation methods for improved data handling. * update prediction swagger
This commit is contained in:
Henry Heng
@@ -1216,15 +1216,18 @@ paths:
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security:
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- bearerAuth: []
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operationId: createPrediction
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summary: Create a new prediction
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description: Create a new prediction
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summary: Send message to flow and get AI response
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description: |
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Send a message to your flow and receive an AI-generated response. This is the primary endpoint for interacting with your flows and assistants.
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**Authentication**: API key may be required depending on flow settings.
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parameters:
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- in: path
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name: id
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required: true
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schema:
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type: string
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description: Chatflow ID
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description: Flow ID - the unique identifier of your flow
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example: 'your-flow-id'
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requestBody:
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content:
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application/json:
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@@ -1236,24 +1239,36 @@ paths:
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properties:
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question:
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type: string
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description: Question to ask during the prediction process
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description: Question/message to send to the flow
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example: 'Analyze this uploaded file and summarize its contents'
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files:
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type: array
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items:
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type: string
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format: binary
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description: Files to be uploaded
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modelName:
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description: Files to be uploaded (images, audio, documents, etc.)
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streaming:
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type: boolean
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description: Enable streaming responses
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default: false
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overrideConfig:
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type: string
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nullable: true
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example: ''
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description: Other override configurations
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description: JSON string of configuration overrides
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example: '{"sessionId":"user-123","temperature":0.7}'
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history:
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type: string
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description: JSON string of conversation history
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example: '[{"role":"userMessage","content":"Hello"},{"role":"apiMessage","content":"Hi there!"}]'
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humanInput:
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type: string
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description: JSON string of human input for resuming execution
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example: '{"type":"proceed","feedback":"Continue with the plan"}'
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required:
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- question
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required: true
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responses:
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'200':
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description: Prediction created successfully
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description: Successful prediction response
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content:
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application/json:
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schema:
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@@ -1261,45 +1276,106 @@ paths:
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properties:
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text:
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type: string
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description: The result of the prediction
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description: The AI-generated response text
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example: 'Artificial intelligence (AI) is a branch of computer science that focuses on creating systems capable of performing tasks that typically require human intelligence.'
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json:
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type: object
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description: The result of the prediction in JSON format if available
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description: The result in JSON format if available (for structured outputs)
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nullable: true
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question:
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type: string
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description: The question asked during the prediction process
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description: The original question/message sent to the flow
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example: 'What is artificial intelligence?'
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chatId:
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type: string
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description: The chat ID associated with the prediction
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description: Unique identifier for the chat session
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example: 'chat-12345'
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chatMessageId:
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type: string
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description: The chat message ID associated with the prediction
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description: Unique identifier for this specific message
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example: 'msg-67890'
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sessionId:
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type: string
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description: The session ID associated with the prediction
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description: Session identifier for conversation continuity
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example: 'user-session-123'
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nullable: true
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memoryType:
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type: string
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description: The memory type associated with the prediction
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description: Type of memory used for conversation context
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example: 'Buffer Memory'
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nullable: true
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sourceDocuments:
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type: array
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description: Documents retrieved from vector store (if RAG is enabled)
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items:
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$ref: '#/components/schemas/Document'
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nullable: true
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usedTools:
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type: array
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description: Tools that were invoked during the response generation
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items:
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$ref: '#/components/schemas/UsedTool'
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fileAnnotations:
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type: array
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items:
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$ref: '#/components/schemas/FileAnnotation'
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nullable: true
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'400':
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description: Invalid input provided
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description: Bad Request - Invalid input provided or request format is incorrect
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content:
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application/json:
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schema:
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type: object
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properties:
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error:
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type: string
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example: 'Invalid request format. Check required fields and parameter types.'
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'401':
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description: Unauthorized - API key required or invalid
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content:
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application/json:
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schema:
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type: object
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properties:
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error:
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type: string
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example: 'Unauthorized access. Please verify your API key.'
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'404':
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description: Chatflow not found
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description: Not Found - Chatflow with specified ID does not exist
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content:
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application/json:
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schema:
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type: object
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properties:
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error:
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type: string
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example: 'Chatflow not found. Please verify the chatflow ID.'
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'413':
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description: Payload Too Large - Request payload exceeds size limits
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content:
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application/json:
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schema:
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type: object
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properties:
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error:
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type: string
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example: 'Request payload too large. Please reduce file sizes or split large requests.'
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'422':
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description: Validation error
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description: Validation Error - Request validation failed
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content:
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application/json:
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schema:
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type: object
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properties:
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error:
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type: string
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example: 'Validation failed. Check parameter requirements and data types.'
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'500':
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description: Internal server error
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description: Internal Server Error - Flow configuration or execution error
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content:
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application/json:
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schema:
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type: object
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properties:
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error:
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type: string
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example: 'Internal server error. Check flow configuration and node settings.'
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/tools:
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post:
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tags:
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@@ -2011,13 +2087,33 @@ components:
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properties:
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question:
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type: string
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description: The question being asked
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description: The question/message to send to the flow
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example: 'What is artificial intelligence?'
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form:
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type: object
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description: The form object to send to the flow (alternative to question for Agentflow V2)
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additionalProperties: true
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example:
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title: 'Example'
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count: 1
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streaming:
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type: boolean
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description: Enable streaming responses for real-time output
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default: false
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example: false
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overrideConfig:
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type: object
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description: The configuration to override the default prediction settings (optional)
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description: Override flow configuration and pass variables at runtime
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additionalProperties: true
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example:
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sessionId: 'user-session-123'
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temperature: 0.7
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maxTokens: 500
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vars:
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user_name: 'Alice'
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history:
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type: array
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description: The history messages to be prepended (optional)
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description: Previous conversation messages for context
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items:
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type: object
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properties:
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@@ -2030,8 +2126,14 @@ components:
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type: string
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description: The content of the message
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example: 'Hello, how can I help you?'
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example:
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- role: 'apiMessage'
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content: "Hello! I'm an AI assistant. How can I help you today?"
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- role: 'userMessage'
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content: "Hi, my name is Sarah and I'm learning about AI"
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uploads:
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type: array
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description: Files to upload (images, audio, documents, etc.)
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items:
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type: object
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properties:
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@@ -2051,7 +2153,42 @@ components:
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mime:
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type: string
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description: The MIME type of the file or resource
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enum:
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[
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'image/png',
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'image/jpeg',
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'image/jpg',
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'image/gif',
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'image/webp',
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'audio/mp4',
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'audio/webm',
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'audio/wav',
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'audio/mpeg',
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'audio/ogg',
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'audio/aac'
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]
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example: 'image/png'
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example:
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- type: 'file'
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name: 'example.png'
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data: 'data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABgAAAAYCAYAAADgdz34AAABjElEQVRIS+2Vv0oDQRDG'
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mime: 'image/png'
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humanInput:
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type: object
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description: Return human feedback and resume execution from a stopped checkpoint
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properties:
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type:
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type: string
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enum: [proceed, reject]
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description: Type of human input response
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example: 'reject'
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feedback:
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type: string
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description: Feedback to the last output
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example: 'Include more emoji'
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example:
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type: 'reject'
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feedback: 'Include more emoji'
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Tool:
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type: object
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