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https://github.com/Termix-SSH/Termix.git
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feat: make each plugin an npm workspace built by a termix-plugin CLI
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@@ -0,0 +1,308 @@
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import { beforeEach, describe, expect, it, vi } from "vitest";
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import type { ChatChunk } from "../../../src/backend/providers/types.js";
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const providerFetch = vi.fn();
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vi.mock("../../../src/backend/providers/http.js", async () => {
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const actual = await vi.importActual<
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typeof import("../../../src/backend/providers/http.js")
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>("../../../src/backend/providers/http.js");
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return { ...actual, providerFetch };
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});
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const { openAiAdapter } =
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await import("../../../src/backend/providers/openai.js");
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const { ollamaAdapter } =
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await import("../../../src/backend/providers/ollama.js");
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const { geminiAdapter } =
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await import("../../../src/backend/providers/gemini.js");
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/** Builds a Response whose body streams the given text chunks. */
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function streamingResponse(lines: string[]): Response {
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const encoder = new TextEncoder();
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return {
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ok: true,
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status: 200,
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body: {
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getReader() {
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let index = 0;
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return {
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async read() {
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if (index >= lines.length) return { done: true, value: undefined };
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return { done: false, value: encoder.encode(lines[index++]) };
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},
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releaseLock() {},
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};
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},
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},
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} as unknown as Response;
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}
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/** One SSE frame, built from an object so the JSON stays readable. */
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function sseFrame(payload: unknown): string {
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return `data: ${JSON.stringify(payload)}\n`;
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}
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async function collect(iterable: AsyncIterable<ChatChunk>) {
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const chunks: ChatChunk[] = [];
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for await (const chunk of iterable) chunks.push(chunk);
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return chunks;
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}
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const REQUEST = {
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model: "test-model",
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system: "system",
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messages: [{ role: "user" as const, content: "hi" }],
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tools: [],
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};
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describe("openAiAdapter", () => {
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beforeEach(() => vi.clearAllMocks());
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it("normalises streamed text", async () => {
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providerFetch.mockResolvedValue(
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streamingResponse([
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'data: {"choices":[{"delta":{"content":"Hel"}}]}\n',
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'data: {"choices":[{"delta":{"content":"lo"}}]}\n',
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"data: [DONE]\n",
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]),
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);
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const chunks = await collect(
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openAiAdapter.streamChat({ providerType: "openai" }, REQUEST),
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);
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expect(chunks.filter((c) => c.type === "text")).toEqual([
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{ type: "text", text: "Hel" },
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{ type: "text", text: "lo" },
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]);
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expect(chunks.at(-1)?.type).toBe("done");
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});
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it("reassembles tool arguments split across deltas", async () => {
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providerFetch.mockResolvedValue(
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streamingResponse([
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'data: {"choices":[{"delta":{"tool_calls":[{"index":0,"id":"c1","function":{"name":"list_hosts","arguments":"{\\"a"}}]}}]}\n',
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'data: {"choices":[{"delta":{"tool_calls":[{"index":0,"function":{"arguments":"\\":1}"}}]}}]}\n',
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"data: [DONE]\n",
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]),
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);
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const chunks = await collect(
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openAiAdapter.streamChat({ providerType: "openai" }, REQUEST),
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);
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const call = chunks.find((c) => c.type === "tool_call");
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expect(call).toMatchObject({
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type: "tool_call",
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call: { id: "c1", name: "list_hosts", arguments: { a: 1 } },
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});
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});
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it("survives malformed tool arguments", async () => {
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// A model that emits broken JSON gets an empty object; the tool's own
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// validation then reports the problem back to it.
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providerFetch.mockResolvedValue(
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streamingResponse([
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'data: {"choices":[{"delta":{"tool_calls":[{"index":0,"id":"c1","function":{"name":"list_hosts","arguments":"{not json"}}]}}]}\n',
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"data: [DONE]\n",
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]),
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);
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const chunks = await collect(
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openAiAdapter.streamChat({ providerType: "openai" }, REQUEST),
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);
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expect(chunks.find((c) => c.type === "tool_call")).toMatchObject({
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call: { arguments: {} },
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});
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});
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it("needs a base url for an openai-compatible provider", async () => {
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await expect(
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collect(
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openAiAdapter.streamChat(
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{ providerType: "openai_compatible" },
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REQUEST,
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),
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),
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).rejects.toThrow("base URL");
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});
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});
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describe("ollamaAdapter", () => {
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beforeEach(() => vi.clearAllMocks());
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it("reads newline-delimited json rather than sse", async () => {
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providerFetch.mockResolvedValue(
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streamingResponse([
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'{"message":{"content":"Hel"}}\n',
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'{"message":{"content":"lo"}}\n',
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'{"done":true,"done_reason":"stop"}\n',
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]),
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);
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const chunks = await collect(
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ollamaAdapter.streamChat({ providerType: "ollama" }, REQUEST),
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);
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expect(chunks.filter((c) => c.type === "text")).toHaveLength(2);
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expect(chunks.at(-1)).toMatchObject({ type: "done", stopReason: "stop" });
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});
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it("accepts tool arguments as an object or a json string", async () => {
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providerFetch.mockResolvedValue(
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streamingResponse([
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'{"message":{"tool_calls":[{"function":{"name":"list_hosts","arguments":{"a":1}}}]}}\n',
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'{"message":{"tool_calls":[{"function":{"name":"get_host","arguments":"{\\"hostId\\":2}"}}]}}\n',
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'{"done":true}\n',
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]),
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);
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const chunks = await collect(
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ollamaAdapter.streamChat({ providerType: "ollama" }, REQUEST),
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);
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const calls = chunks.filter((c) => c.type === "tool_call") as any[];
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expect(calls[0].call.arguments).toEqual({ a: 1 });
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expect(calls[1].call.arguments).toEqual({ hostId: 2 });
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});
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});
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describe("geminiAdapter", () => {
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beforeEach(() => vi.clearAllMocks());
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it("carries thoughtSignature off a function call", async () => {
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// Gemini 2.5+ 400s a follow-up whose functionCall parts lost their
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// signature, which broke every conversation on the second turn.
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providerFetch.mockResolvedValue(
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streamingResponse([
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sseFrame({
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candidates: [
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{
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content: {
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parts: [
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{
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functionCall: { name: "list_hosts", args: {} },
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thoughtSignature: "sig-abc",
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},
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],
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},
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},
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],
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}),
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]),
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);
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const chunks = await collect(
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geminiAdapter.streamChat(
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{ providerType: "gemini", apiKey: "k" },
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REQUEST,
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),
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);
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expect(chunks.find((c) => c.type === "tool_call")).toMatchObject({
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call: { name: "list_hosts", providerSignature: "sig-abc" },
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});
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});
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it("echoes the signature back on the next turn", async () => {
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providerFetch.mockResolvedValue(streamingResponse([]));
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await collect(
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geminiAdapter.streamChat(
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{ providerType: "gemini", apiKey: "k" },
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{
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...REQUEST,
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messages: [
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{ role: "user", content: "hi" },
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{
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role: "assistant",
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content: "",
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toolCalls: [
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{
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id: "c1",
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name: "list_hosts",
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arguments: {},
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providerSignature: "sig-abc",
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},
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],
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},
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{
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role: "tool",
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content: "{}",
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toolCallId: "c1",
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toolName: "list_hosts",
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},
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],
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},
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),
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);
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const body = JSON.parse(providerFetch.mock.calls[0][1].body as string);
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const modelTurn = body.contents.find((c: any) => c.role === "model");
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expect(modelTurn.parts[0].thoughtSignature).toBe("sig-abc");
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});
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});
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describe("assertOk error messages", () => {
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beforeEach(() => vi.clearAllMocks());
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function errorResponse(status: number, body: string): Response {
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return {
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ok: false,
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status,
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text: async () => body,
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} as unknown as Response;
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}
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it("pulls the message out of a nested error body", async () => {
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// Slicing the raw JSON used to cut the text off mid-sentence.
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providerFetch.mockResolvedValue(
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errorResponse(
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400,
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JSON.stringify({
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error: {
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code: 400,
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message: "Function call is missing a signature.",
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},
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}),
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),
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);
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await expect(
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collect(openAiAdapter.streamChat({ providerType: "openai" }, REQUEST)),
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).rejects.toThrow("Function call is missing a signature.");
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});
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it("explains a rate limit instead of dumping the body", async () => {
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providerFetch.mockResolvedValue(
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errorResponse(
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429,
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JSON.stringify({ error: { message: "You exceeded your quota." } }),
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),
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);
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await expect(
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collect(openAiAdapter.streamChat({ providerType: "openai" }, REQUEST)),
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).rejects.toThrow(/rate limit reached/i);
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});
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it("explains a rejected key", async () => {
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providerFetch.mockResolvedValue(
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errorResponse(401, JSON.stringify({ error: { message: "Bad key" } })),
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);
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await expect(
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collect(openAiAdapter.streamChat({ providerType: "openai" }, REQUEST)),
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).rejects.toThrow(/rejected the API key/i);
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});
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it("falls back to a trimmed snippet for a non-JSON body", async () => {
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providerFetch.mockResolvedValue(errorResponse(500, "upstream exploded"));
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await expect(
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collect(openAiAdapter.streamChat({ providerType: "openai" }, REQUEST)),
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).rejects.toThrow("upstream exploded");
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});
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});
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