rootandClaude Fable 5.1
9c881e737f
- CapabilityRegistry: descriptor(id/version/schema/scope/risk/idempotent/preview/replay), invoke = scope limit -> input schema -> server-side authorize -> idempotency key -> handler -> output schema -> audit; capability id <-> tool name mapping (download.submit <-> download__submit) - PiAgentRuntime (pi-agent-core AgentHarness 0.87.1): whitelist tools + before_tool re-check, redacted event stream, JSONL session at sessionDir/<runId>.jsonl, resume/abort/compact, tool-call/duration/token/cost budgets -> abort + run_failed(budget) - AgentSettings -> pi-ai createProvider (anthropic / openai-compatible), compaction mapping - FakeModelProvider + createFakeRuntime (scripted, transcript-derived, survives crash/resume) - buildSystemPrompt, redactForModel; 27 tests incl. SIGKILL + resume Co-Authored-By: Claude Fable 5.1 <[email protected]>
47 lines
2.1 KiB
TypeScript
47 lines
2.1 KiB
TypeScript
import { describe, expect, it } from "vitest";
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import { describeSettings, resolveAgentSettings } from "../src";
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import { compactionFromSettings, resolveModelFromSettings } from "../src/pi/model";
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describe("AgentSettings → pi-ai", () => {
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it("anthropic:baseUrl 去掉 /v1,上下文预算即 contextWindow,apiKey 只在 resolve 时给出", async () => {
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const s = resolveAgentSettings({
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provider: "anthropic",
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baseUrl: "https://proxy.local/v1/",
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apiKey: "sk-ant-secret-value",
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model: "claude-sonnet-4-5",
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thinkingLevel: "high",
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contextBudgetTokens: 100_000,
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});
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const { models, model } = resolveModelFromSettings(s);
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expect(model).toMatchObject({
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api: "anthropic-messages",
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baseUrl: "https://proxy.local",
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id: "claude-sonnet-4-5",
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contextWindow: 100_000,
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reasoning: true,
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});
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expect(JSON.stringify(model)).not.toContain("sk-ant-secret-value");
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const auth = await models.getAuth(model);
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expect(JSON.stringify(auth)).toContain("sk-ant-secret-value");
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expect(JSON.stringify(describeSettings(s))).not.toContain("sk-ant-secret-value");
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expect(s.subagentsEnabled).toBe(false);
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});
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it("openai-compatible 需要带 /v1 的 baseUrl;压缩模式映射", () => {
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const base = { provider: "openai-compatible" as const, apiKey: "k", model: "qwen3" };
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expect(() => resolveModelFromSettings(resolveAgentSettings(base))).toThrow(/baseUrl/);
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const s = resolveAgentSettings({
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...base,
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baseUrl: "http://llm.local/v1",
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contextBudgetTokens: 32_000,
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compaction: { mode: "threshold", threshold: 0.75 },
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});
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const { model } = resolveModelFromSettings(s);
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expect(model).toMatchObject({ api: "openai-completions", baseUrl: "http://llm.local/v1", reasoning: false });
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expect(compactionFromSettings(s, 32_000)).toEqual({ enabled: true, reserveTokens: 8000, keepRecentTokens: 8000 });
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const manual = resolveAgentSettings({ ...s, compaction: { mode: "manual", threshold: 0.8 } });
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expect(compactionFromSettings(manual, 32_000).enabled).toBe(false);
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expect(() => resolveAgentSettings({ ...base, model: "" })).toThrow();
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});
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});
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