# TrustGraph Text Completion API This is a low-level interface to the LLM service. For a higher-level interface with template management, consider the [Prompt API](api-prompt.md). ## Request/response ### Request Some LLM system permit specifying a separate `system` prompt. When the same system prompt is used repeatedly, this can result in lower token costs for the system part or quicker LLM response. The request contains the following fields: - `system`: A string, the system part - `prompt`: A string, the user part ### Response The response contains the following fields: - `response`: LLM response ## REST service The REST service accepts a request object containing the question field. The response is a JSON object containing the `answer` field. e.g. Request: ``` { "system": "You are a helpful agent", "prompt": "What does NASA stand for?" } ``` Response: ``` { "response": "National Aeronautics and Space Administration" } ``` ## Websocket Requests have a `request` object containing the `system` and `prompt` fields. Responses have a `response` object containing `response` field. e.g. Request: ``` { "id": "blrqotfefnmnh7de-1", "service": "text-completion", "flow": "default", "request": { "system": "You are a helpful agent", "prompt": "What does NASA stand for?" } } ``` Response: ``` { "id": "blrqotfefnmnh7de-1", "response": { "response": "National Aeronautics and Space Administration" }, "complete": true } ``` ## Pulsar The Pulsar schema for the Text Completion API is defined in Python code here: https://github.com/trustgraph-ai/trustgraph/blob/master/trustgraph-base/trustgraph/schema/models.py Default request queue: `non-persistent://tg/request/text-completion` Default response queue: `non-persistent://tg/response/text-completion` Request schema: `trustgraph.schema.TextCompletionRequest` Response schema: `trustgraph.schema.TextCompletionResponse` ## Pulsar Python client The client class is `trustgraph.clients.LlmClient` https://github.com/trustgraph-ai/trustgraph/blob/master/trustgraph-base/trustgraph/clients/llm_client.py