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The root barrel is now core-only and side-effect free: types, createModels/createProvider, auth substrate, lazyStream/lazyApi, faux, utils. Generated catalogs, api-registry, env-api-keys, images, global stream functions, and per-API lazy wrappers leave the root. New @earendil-works/pi-ai/compat preserves the old surface verbatim as a strict superset of the root: api-dispatch stream/complete with env key injection, the builtin registration side effect (skip-if-present so it cannot clobber earlier overrides), deprecated getModel/getModels/ getProviders aliases of the new getBuiltin* reads in providers/all, lazy api wrappers + setBedrockProviderModule, and image generation. Compat dies with the coding-agent ModelManager migration. Packaging: exports map gains ./compat, ./providers/*, ./api/*; sideEffects array lists only the effectful modules. Old-global imports across agent/coding-agent/examples and pi-ai tests switch to /compat (path-only; compat is a superset). The coding-agent extension loader resolves the pi-ai ROOT specifier to compat, so existing user extensions using the old global API keep working at runtime until compat is removed. vitest configs alias /compat to src; browser smoke imports old globals from /compat.
121 lines
4.5 KiB
TypeScript
121 lines
4.5 KiB
TypeScript
import { describe, expect, it } from "vitest";
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import { complete, getModel } from "../src/compat.ts";
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import type { Api, Context, Model, StreamOptions } from "../src/types.ts";
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import { hasAzureOpenAICredentials, resolveAzureDeploymentName } from "./azure-utils.ts";
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import { resolveApiKey } from "./oauth.ts";
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type StreamOptionsWithExtras = StreamOptions & Record<string, unknown>;
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const oauthTokens = await Promise.all([resolveApiKey("github-copilot"), resolveApiKey("openai-codex")]);
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const [githubCopilotToken, openaiCodexToken] = oauthTokens;
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async function expectResponseId<TApi extends Api>(model: Model<TApi>, options: StreamOptionsWithExtras = {}) {
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const context: Context = {
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systemPrompt: "You are a helpful assistant. Be concise.",
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messages: [{ role: "user", content: "Reply with exactly: response id test", timestamp: Date.now() }],
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};
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const response = await complete(model, context, options);
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expect(response.stopReason, response.errorMessage).not.toBe("error");
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expect(response.responseId).toBeTruthy();
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expect(typeof response.responseId).toBe("string");
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}
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describe("responseId E2E Tests", () => {
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describe.skipIf(!process.env.GEMINI_API_KEY)("Google Provider", () => {
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const llm = getModel("google", "gemini-2.5-flash");
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it("should expose responseId", { retry: 3, timeout: 30000 }, async () => {
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await expectResponseId(llm);
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});
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});
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describe("Google Vertex Provider", () => {
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const vertexProject = process.env.GOOGLE_CLOUD_PROJECT || process.env.GCLOUD_PROJECT;
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const vertexLocation = process.env.GOOGLE_CLOUD_LOCATION;
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const vertexApiKey = process.env.GOOGLE_CLOUD_API_KEY;
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const isVertexConfigured = Boolean(vertexProject && vertexLocation);
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const vertexOptions = { project: vertexProject, location: vertexLocation } as const;
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const llm = getModel("google-vertex", "gemini-3-flash-preview");
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it.skipIf(!isVertexConfigured)("should expose responseId with ADC", { retry: 3, timeout: 30000 }, async () => {
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await expectResponseId(llm, vertexOptions);
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});
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it.skipIf(!vertexApiKey)("should expose responseId with API key", { retry: 3, timeout: 30000 }, async () => {
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await expectResponseId(llm, { apiKey: vertexApiKey! });
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});
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});
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describe.skipIf(!process.env.OPENAI_API_KEY)("OpenAI Completions Provider", () => {
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const { compat: _compat, ...baseModel } = getModel("openai", "gpt-4o-mini");
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void _compat;
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const llm: Model<"openai-completions"> = {
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...baseModel,
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api: "openai-completions",
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};
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it("should expose responseId", { retry: 3, timeout: 30000 }, async () => {
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await expectResponseId(llm);
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});
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});
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describe.skipIf(!process.env.OPENAI_API_KEY)("OpenAI Responses Provider", () => {
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const llm = getModel("openai", "gpt-5-mini");
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it("should expose responseId", { retry: 3, timeout: 30000 }, async () => {
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await expectResponseId(llm);
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});
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});
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describe.skipIf(!process.env.ANTHROPIC_API_KEY)("Anthropic Provider", () => {
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const llm = getModel("anthropic", "claude-sonnet-4-5");
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it("should expose responseId", { retry: 3, timeout: 30000 }, async () => {
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await expectResponseId(llm);
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});
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});
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describe.skipIf(!hasAzureOpenAICredentials())("Azure OpenAI Responses Provider", () => {
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const llm = getModel("azure-openai-responses", "gpt-4o-mini");
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const azureDeploymentName = resolveAzureDeploymentName(llm.id);
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const azureOptions = azureDeploymentName ? { azureDeploymentName } : {};
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it("should expose responseId", { retry: 3, timeout: 30000 }, async () => {
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await expectResponseId(llm, azureOptions);
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});
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});
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describe.skipIf(!process.env.MISTRAL_API_KEY)("Mistral Provider", () => {
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const llm = getModel("mistral", "devstral-medium-latest");
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it("should expose responseId", { retry: 3, timeout: 30000 }, async () => {
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await expectResponseId(llm);
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});
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});
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describe("GitHub Copilot Provider", () => {
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it.skipIf(!githubCopilotToken)("OpenAI path should expose responseId", { retry: 3, timeout: 30000 }, async () => {
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const llm = getModel("github-copilot", "gpt-5.3-codex");
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await expectResponseId(llm, { apiKey: githubCopilotToken });
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});
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it.skipIf(!githubCopilotToken)(
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"Anthropic path should expose responseId",
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{ retry: 3, timeout: 30000 },
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async () => {
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const llm = getModel("github-copilot", "claude-sonnet-4.6");
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await expectResponseId(llm, { apiKey: githubCopilotToken });
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},
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);
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});
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describe("OpenAI Codex Provider", () => {
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it.skipIf(!openaiCodexToken)("should expose responseId", { retry: 3, timeout: 30000 }, async () => {
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const llm = getModel("openai-codex", "gpt-5.5");
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await expectResponseId(llm, { apiKey: openaiCodexToken });
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});
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});
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});
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