xingyue
deac2336b6
Built-in role agent that uses workflow config models directly, with its own tool-calling run loop. No external agent dependency. - OpenAI-compatible chat completion client with tool_calls support - P0 toolkit: read_file, write_file, run_command - Integrates via createAgent factory from workflow-agent-kit - CAS detail recording for each turn - Path sandboxing and shell opt-in (UWF_BUILTIN_ALLOW_SHELL)
17 lines
539 B
TypeScript
17 lines
539 B
TypeScript
import { describe, expect, test } from "bun:test";
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import type { LlmToolCall } from "../src/llm/types.js";
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/** Mirror OpenAI response shape for parser coverage via chatCompletionWithTools integration later. */
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describe("LlmToolCall shape", () => {
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test("tool call record fields", () => {
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const call: LlmToolCall = {
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id: "call_1",
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name: "read_file",
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arguments: '{"path":"README.md"}',
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};
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expect(call.name).toBe("read_file");
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expect(JSON.parse(call.arguments)).toEqual({ path: "README.md" });
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});
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});
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