xiaoju
94f725c50b
- Remove llmProvider and workspace from CursorAgentConfig (now just command/model/timeout) - extractWorkspacePath uses runtime.extract + runtime.cas instead of standalone reactor - TextProducerFn signature gains runtime parameter: (ctx, prompt, runtime) - develop-entry.ts hardcodes cursor-agent path, no more env var dependency - Drop @uncaged/workflow-reactor dep from workflow-agent-cursor - Update tests for simplified config 小橘 <xiaoju@shazhou.work>
@uncaged/workflow-agent-llm
AgentFn adapter that calls an OpenAI-compatible POST /chat/completions endpoint using LlmProvider from @uncaged/workflow-runtime.
Single-turn: system text is the current role’s systemPrompt, user text is the thread’s initial prompt (ctx.start.content). Errors from HTTP, JSON, or empty choices are thrown as Error with a JSON payload string.
Install
bun add @uncaged/workflow-agent-llm @uncaged/workflow-runtime zod
In this monorepo: "@uncaged/workflow-agent-llm": "workspace:*", "@uncaged/workflow-runtime": "workspace:*" (and satisfy zod ^4 as required by @uncaged/workflow-runtime).
Usage
import { createLlmAdapter } from "@uncaged/workflow-agent-llm";
const agent = createLlmAdapter({
baseUrl: "https://api.openai.com/v1",
apiKey: process.env.OPENAI_API_KEY!,
model: "gpt-4.1-mini",
});
API overview
| Export | Description |
|---|---|
createLlmAdapter(provider) |
LlmProvider → AgentFn |
chatCompletionText({ provider, messages }) |
Low-level Result<string, LlmChatError> helper |
LlmMessage |
{ role: "system" | "user" | "assistant"; content: string } |
LlmChatError |
Discriminated error kinds for failed completions |