Mario Zechner
8a0903ebf2
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.
49 lines
1.6 KiB
TypeScript
49 lines
1.6 KiB
TypeScript
import type { ResponseOutputMessage } from "openai/resources/responses/responses.js";
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import { describe, expect, it } from "vitest";
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import { convertResponsesMessages } from "../src/api/openai-responses-shared.ts";
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import { getModel } from "../src/compat.ts";
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import type { AssistantMessage, Context, Usage } from "../src/types.ts";
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const usage: Usage = {
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input: 0,
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output: 0,
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cacheRead: 0,
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cacheWrite: 0,
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totalTokens: 0,
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cost: { input: 0, output: 0, cacheRead: 0, cacheWrite: 0, total: 0 },
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};
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describe("OpenAI Responses message ID conversion", () => {
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it("generates unique fallback message IDs for multiple text blocks in one assistant turn", () => {
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const model = getModel("openai-codex", "gpt-5.5");
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const assistant: AssistantMessage = {
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role: "assistant",
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content: [
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{ type: "thinking", thinking: "private reasoning" },
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{ type: "text", text: "visible answer" },
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],
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api: "anthropic-messages",
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provider: "anthropic",
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model: "claude-opus-4-8",
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usage,
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stopReason: "stop",
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timestamp: Date.now() - 1000,
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};
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const context: Context = {
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systemPrompt: "You are concise.",
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messages: [{ role: "user", content: "hello", timestamp: Date.now() - 2000 }, assistant],
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};
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const input = convertResponsesMessages(model, context, new Set(["openai", "openai-codex", "opencode"]));
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const messageIds = input
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.filter(
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(item): item is ResponseOutputMessage =>
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item.type === "message" && "id" in item && typeof item.id === "string",
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)
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.map((item) => item.id);
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expect(messageIds).toEqual(["msg_pi_1", "msg_pi_1_1"]);
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expect(new Set(messageIds).size).toBe(messageIds.length);
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});
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});
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