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Interface: PromptComponents

Defined in: packages/agentos/src/core/llm/IPromptEngine.ts:118

Core components that form the foundation of any prompt construction. These are gathered from various sources (GMI state, user input, RAG) and then augmented with dynamically selected contextual elements. PromptComponents

Properties​

audioInput?​

optional audioInput: AudioInputData

Defined in: packages/agentos/src/core/llm/IPromptEngine.ts:128

Audio input data references if the model or a pre-processing step handles audio.

conversationHistory?​

optional conversationHistory: ConversationMessage[]

Defined in: packages/agentos/src/core/llm/IPromptEngine.ts:122

Conversation history messages, typically an array of Message objects.

customComponents?​

optional customComponents: Record<string, unknown>

Defined in: packages/agentos/src/core/llm/IPromptEngine.ts:141

Additional custom components that templates might use.

retrievedContext?​

optional retrievedContext: string | object[]

Defined in: packages/agentos/src/core/llm/IPromptEngine.ts:137

Retrieved context from a RAG system, to be incorporated into the prompt.

systemPrompts?​

optional systemPrompts: object[]

Defined in: packages/agentos/src/core/llm/IPromptEngine.ts:120

System-level prompts with optional priority ordering. Higher priority usually means placed earlier or given more weight.

content​

content: string

priority?​

optional priority: number

source?​

optional source: string

taskSpecificData?​

optional taskSpecificData: Record<string, unknown>

Defined in: packages/agentos/src/core/llm/IPromptEngine.ts:139

Task-specific data or parameters that need to be included in the prompt.

tools?​

optional tools: ITool<any, any>[]

Defined in: packages/agentos/src/core/llm/IPromptEngine.ts:130

Available tools and their schemas, for models that support function/tool calling.

toolSchemas?​

optional toolSchemas: Record<string, unknown>[]

Defined in: packages/agentos/src/core/llm/IPromptEngine.ts:135

Pre-formatted tool/function schemas that should be forwarded to the model as-is. Useful when upstream logic has already normalized the schema definitions.

userInput?​

optional userInput: string | null

Defined in: packages/agentos/src/core/llm/IPromptEngine.ts:124

Current user input text.

visionInputs?​

optional visionInputs: VisionInputData[]

Defined in: packages/agentos/src/core/llm/IPromptEngine.ts:126

Visual inputs (images) if the target model supports vision.