mirror of
https://github.com/modelstudioai/cli.git
synced 2026-09-14 19:49:23 +08:00
feat(text): support Responses API
This commit is contained in:
@@ -1,20 +1,35 @@
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import {
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defineCommand,
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chatPath,
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responsesPath,
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parseSSE,
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detectOutputFormat,
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readTextFromPathOrStdin,
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type ChatMessage,
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type ChatRequest,
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type ChatResponse,
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type ResponsesRequest,
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type ResponsesResponse,
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type ResponsesStreamEvent,
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type StreamChunk,
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type FlagsDef,
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type ParsedFlags,
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} from "bailian-cli-core";
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import { ansi, emitResult, emitBare } from "bailian-cli-runtime";
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import { readFileSync } from "fs";
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import {
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assertResponsesStreamCompleted,
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inspectResponsesStreamEvent,
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extractResponsesText,
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} from "./responses.ts";
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const CHAT_FLAGS = {
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api: {
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type: "string",
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valueHint: "<chat|responses>",
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choices: ["chat", "responses"] as const,
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description: "API to call (default: chat)",
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},
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model: { type: "string", valueHint: "<model>", description: "Model ID (default: qwen3.8-max)" },
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message: {
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type: "array",
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@@ -72,31 +87,31 @@ function parseMessages(flags: ChatFlags): ParsedMessages {
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if (flags.messagesFile) {
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const raw = readTextFromPathOrStdin(flags.messagesFile);
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const parsed = JSON.parse(raw) as Array<{ role: string; content: string }>;
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for (const m of parsed) {
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if (m.role === "system") {
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system = typeof m.content === "string" ? m.content : "";
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for (const parsedMessage of parsed) {
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if (parsedMessage.role === "system") {
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system = typeof parsedMessage.content === "string" ? parsedMessage.content : "";
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} else {
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messages.push(m as ChatMessage);
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messages.push(parsedMessage as ChatMessage);
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}
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}
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}
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if (flags.message) {
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const validRoles = new Set(["system", "user", "assistant"]);
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const msgs = flags.message;
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for (const m of msgs) {
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const colonIdx = m.indexOf(":");
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const maybeRole = colonIdx !== -1 ? m.slice(0, colonIdx) : "";
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const messageValues = flags.message;
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for (const messageValue of messageValues) {
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const colonIndex = messageValue.indexOf(":");
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const maybeRole = colonIndex !== -1 ? messageValue.slice(0, colonIndex) : "";
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if (validRoles.has(maybeRole)) {
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const content = m.slice(colonIdx + 1);
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const content = messageValue.slice(colonIndex + 1);
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if (maybeRole === "system") {
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system = content;
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} else {
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messages.push({ role: maybeRole as "user" | "assistant", content });
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}
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} else {
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messages.push({ role: "user", content: m });
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messages.push({ role: "user", content: messageValue });
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}
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}
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}
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@@ -105,24 +120,33 @@ function parseMessages(flags: ChatFlags): ParsedMessages {
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}
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export default defineCommand({
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description: "Send a chat completion (OpenAI compatible, DashScope)",
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description: "Send a text model request (OpenAI compatible, DashScope)",
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auth: "apiKey",
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usageArgs: "--message <text> [flags]",
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flags: CHAT_FLAGS,
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exampleArgs: [
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'--message "What is Qwen?"',
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`--api responses --model qwen3.8-max --tool '{"type":"web_search"}' --message "Search for recent Alibaba Cloud news"`,
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'--model qwen-max --system "You are a coding assistant." --message "Write fizzbuzz in Python"',
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'--message "Hello" --message "assistant:Hi!" --message "How are you?"',
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"--messages-file - --stream",
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'--message "Hello" --output json',
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'--model qwq-plus --message "Solve 1+1" --enable-thinking',
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],
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validate: (f) =>
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!f.message && !f.messagesFile ? "Provide --message or --messages-file." : undefined,
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validate: (flags) => {
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if (!flags.message && !flags.messagesFile) {
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return "Provide --message or --messages-file.";
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}
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if (flags.api === "responses" && flags.thinkingBudget !== undefined) {
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return "--thinking-budget is not supported by the Responses API.";
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}
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return undefined;
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},
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async run(ctx) {
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const { settings, flags } = ctx;
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const { system, messages } = parseMessages(flags);
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const api = flags.api ?? "chat";
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const model = flags.model || settings.defaultTextModel || "qwen3.8-max";
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const shouldStream = flags.stream || process.stdout.isTTY;
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const format = detectOutputFormat(settings.output);
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@@ -134,29 +158,39 @@ export default defineCommand({
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}
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allMessages.push(...messages);
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const body: ChatRequest = {
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model,
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messages: allMessages,
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max_tokens: flags.maxTokens ?? 4096,
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stream: shouldStream,
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};
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let body: ChatRequest | ResponsesRequest;
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if (api === "responses") {
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body = {
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model,
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input: allMessages,
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max_output_tokens: flags.maxTokens ?? 4096,
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stream: shouldStream,
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};
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} else {
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body = {
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model,
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messages: allMessages,
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max_tokens: flags.maxTokens ?? 4096,
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stream: shouldStream,
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};
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}
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if (flags.temperature !== undefined) body.temperature = flags.temperature;
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if (flags.topP !== undefined) body.top_p = flags.topP;
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if (flags.enableThinking) {
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body.enable_thinking = true;
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if (flags.thinkingBudget !== undefined) {
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if (api === "chat" && "messages" in body && flags.thinkingBudget !== undefined) {
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body.thinking_budget = flags.thinkingBudget;
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}
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}
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if (flags.tool) {
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const tools = flags.tool.map((t) => {
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const tools = flags.tool.map((toolValue) => {
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try {
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return JSON.parse(t);
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return JSON.parse(toolValue);
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} catch {
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const raw = readFileSync(t, "utf-8");
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const raw = readFileSync(toolValue, "utf-8");
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return JSON.parse(raw);
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}
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});
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@@ -169,8 +203,8 @@ export default defineCommand({
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}
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if (shouldStream) {
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const res = await ctx.client.request({
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path: chatPath(),
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const responseStream = await ctx.client.request({
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path: api === "responses" ? responsesPath() : chatPath(),
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method: "POST",
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body,
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stream: true,
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@@ -178,6 +212,7 @@ export default defineCommand({
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let textContent = "";
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let inThinking = false;
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let responsesCompleted = false;
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const writesStreamingStdout = format === "text";
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const isTTY = process.stdout.isTTY;
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const statusOut =
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@@ -185,8 +220,28 @@ export default defineCommand({
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const resultOut = process.stdout;
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const statusColor = ansi(statusOut);
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for await (const event of parseSSE(res)) {
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for await (const event of parseSSE(responseStream)) {
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if (event.data === "[DONE]") break;
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if (api === "responses") {
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let parsedEvent: ResponsesStreamEvent;
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try {
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parsedEvent = JSON.parse(event.data) as ResponsesStreamEvent;
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} catch {
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continue;
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}
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const update = inspectResponsesStreamEvent(parsedEvent);
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if (update.delta) {
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textContent += update.delta;
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if (writesStreamingStdout) resultOut.write(update.delta);
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}
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if (update.completed) {
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responsesCompleted = true;
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break;
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}
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continue;
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}
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try {
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const parsed = JSON.parse(event.data) as StreamChunk;
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@@ -216,6 +271,7 @@ export default defineCommand({
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// Skip unparseable chunks
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}
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}
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if (api === "responses") assertResponsesStreamCompleted(responsesCompleted);
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if (inThinking) statusOut.write(statusColor.reset);
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if (format === "json") {
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@@ -223,6 +279,20 @@ export default defineCommand({
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} else {
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resultOut.write("\n");
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}
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} else if (api === "responses") {
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const response = await ctx.client.requestJson<ResponsesResponse>({
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path: responsesPath(),
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method: "POST",
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body,
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});
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const text = extractResponsesText(response);
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if (settings.quiet || format === "text") {
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emitBare(text);
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} else {
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emitResult(response, format);
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}
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} else {
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const response = await ctx.client.requestJson<ChatResponse>({
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path: chatPath(),
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@@ -0,0 +1,76 @@
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import {
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BailianError,
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ExitCode,
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type ResponsesResponse,
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type ResponsesStreamEvent,
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} from "bailian-cli-core";
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export interface ResponsesStreamUpdate {
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delta: string;
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completed: boolean;
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}
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export function extractResponsesText(response: ResponsesResponse): string {
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return response.output
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.filter((outputItem) => outputItem.type === "message")
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.flatMap((outputItem) => outputItem.content ?? [])
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.filter((contentItem) => contentItem.type === "output_text")
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.map((contentItem) => contentItem.text ?? "")
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.join("");
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}
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export function extractResponsesStreamDelta(event: ResponsesStreamEvent): string {
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return event.type === "response.output_text.delta" ? (event.delta ?? "") : "";
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}
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function asRecord(value: unknown): Record<string, unknown> | undefined {
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return typeof value === "object" && value !== null
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? (value as Record<string, unknown>)
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: undefined;
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}
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function stringProperty(record: Record<string, unknown> | undefined, property: string) {
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const value = record?.[property];
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return typeof value === "string" && value.trim() ? value : undefined;
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}
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function responsesErrorMessage(event: ResponsesStreamEvent): string | undefined {
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const response = asRecord(event.response);
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const responseError = asRecord(response?.error);
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const eventError = asRecord(event.error);
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return (
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stringProperty(responseError, "message") ??
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stringProperty(eventError, "message") ??
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stringProperty(event, "message")
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);
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}
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export function inspectResponsesStreamEvent(event: ResponsesStreamEvent): ResponsesStreamUpdate {
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if (event.type === "response.failed" || event.type === "error") {
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throw new BailianError(responsesErrorMessage(event) ?? "Response failed.", ExitCode.GENERAL);
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}
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if (event.type === "response.incomplete") {
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const response = asRecord(event.response);
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const incompleteDetails = asRecord(response?.incomplete_details);
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const reason = stringProperty(incompleteDetails, "reason");
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throw new BailianError(
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responsesErrorMessage(event) ??
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(reason ? `Response incomplete: ${reason}` : "Response incomplete."),
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ExitCode.GENERAL,
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);
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}
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return {
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delta: extractResponsesStreamDelta(event),
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completed: event.type === "response.completed",
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};
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}
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export function assertResponsesStreamCompleted(completed: boolean): void {
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if (completed) return;
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throw new BailianError(
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"Stream disconnected before completion: stream closed before response.completed.",
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ExitCode.GENERAL,
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);
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}
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@@ -10,8 +10,37 @@ describe("e2e: text chat", () => {
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test("text chat --help 正常退出", async () => {
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const { stderr, exitCode } = await runCommandE2e(TEXT_CHAT_ROUTES, ["text", "chat", "--help"]);
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expect(exitCode, stderr).toBe(0);
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expect(stderr).toMatch(/--api\s+<chat\|responses>/i);
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expect(stderr).toMatch(/chat|--message|model|stream/i);
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});
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test("text chat 拒绝未知的 --api 值", async () => {
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const { stderr, exitCode } = await runCommandE2e(TEXT_CHAT_ROUTES, [
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"text",
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"chat",
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"--api",
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"legacy",
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"--message",
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"hello",
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]);
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expect(exitCode).toBe(2);
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expect(stderr).toMatch(/--api|chat.*responses/i);
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});
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test("text chat 在 Responses 模式拒绝 --thinking-budget", async () => {
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const { stderr, exitCode } = await runCommandE2e(TEXT_CHAT_ROUTES, [
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"text",
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"chat",
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"--api",
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"responses",
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"--message",
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"hello",
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"--thinking-budget",
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"8",
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]);
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expect(exitCode).toBe(2);
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expect(stderr).toMatch(/thinking-budget.*Responses/i);
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});
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});
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describe.skipIf(!isDashScopeE2EReady())("e2e: text chat(DashScope)", () => {
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@@ -45,7 +74,42 @@ describe.skipIf(!isDashScopeE2EReady())("e2e: text chat(DashScope)", () => {
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request?: { model?: string; messages?: Array<{ content?: string }> };
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}>(stdout);
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expect(data.request?.model).toBe("qwen3.8-max");
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expect(data.request?.messages?.some((m) => m.content === "干跑")).toBe(true);
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expect(data.request?.messages?.some((message) => message.content === "干跑")).toBe(true);
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});
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test("text chat --api responses --dry-run 生成 Responses 请求", async () => {
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const { stdout, stderr, exitCode } = await runCommandE2e(TEXT_CHAT_ROUTES, [
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"text",
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"chat",
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"--dry-run",
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"--api",
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"responses",
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"--model",
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"qwen3.8-max",
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"--system",
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"system",
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"--message",
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"hello",
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"--max-tokens",
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"8",
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"--tool",
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'{"type":"web_search"}',
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"--output",
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"json",
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]);
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expect(exitCode, stderr).toBe(0);
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const data = parseStdoutJson<{ request?: Record<string, unknown> }>(stdout);
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expect(data.request).toMatchObject({
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model: "qwen3.8-max",
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input: [
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{ role: "system", content: "system" },
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{ role: "user", content: "hello" },
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],
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max_output_tokens: 8,
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tools: [{ type: "web_search" }],
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});
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expect(data.request).not.toHaveProperty("messages");
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expect(data.request).not.toHaveProperty("max_tokens");
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});
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test("【qwen3.8-max】文本对话", async () => {
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@@ -0,0 +1,138 @@
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import { BailianError, ExitCode } from "bailian-cli-core";
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import { afterEach, describe, expect, test, vi } from "vite-plus/test";
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import chatCommand from "../src/commands/text/chat.ts";
|
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import {
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extractResponsesStreamDelta,
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extractResponsesText,
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} from "../src/commands/text/responses.ts";
|
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|
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afterEach(() => {
|
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vi.restoreAllMocks();
|
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});
|
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|
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function responsesStreamResponse(events: unknown[]): Response {
|
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const body = events.map((event) => `data: ${JSON.stringify(event)}\n\n`).join("");
|
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return new Response(body, { headers: { "content-type": "text/event-stream" } });
|
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}
|
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|
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async function runResponsesStream(events: unknown[]): Promise<BailianError | undefined> {
|
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vi.spyOn(process.stdout, "write").mockImplementation(() => true);
|
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|
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try {
|
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await chatCommand.run({
|
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settings: { output: "json" },
|
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flags: {
|
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api: "responses",
|
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message: ["hello"],
|
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stream: true,
|
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},
|
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client: {
|
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request: async () => responsesStreamResponse(events),
|
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},
|
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} as never);
|
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return undefined;
|
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} catch (error) {
|
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expect(error).toBeInstanceOf(BailianError);
|
||||
return error as BailianError;
|
||||
}
|
||||
}
|
||||
|
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describe("Responses output", () => {
|
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test("extracts only output_text from message items", () => {
|
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const text = extractResponsesText({
|
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id: "resp_1",
|
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object: "response",
|
||||
status: "completed",
|
||||
output: [
|
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{ type: "reasoning", summary: [{ type: "summary_text", text: "thinking" }] },
|
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{ type: "web_search_call", status: "completed" },
|
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{ type: "message", content: [{ type: "output_text", text: "first" }] },
|
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{
|
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type: "message",
|
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content: [
|
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{ type: "refusal", text: "ignored" },
|
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{ type: "output_text", text: " second" },
|
||||
],
|
||||
},
|
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],
|
||||
});
|
||||
|
||||
expect(text).toBe("first second");
|
||||
});
|
||||
|
||||
test("extracts only response.output_text.delta stream events", () => {
|
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expect(extractResponsesStreamDelta({ type: "response.output_text.delta", delta: "hi" })).toBe(
|
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"hi",
|
||||
);
|
||||
expect(extractResponsesStreamDelta({ type: "response.web_search_call.completed" })).toBe("");
|
||||
});
|
||||
|
||||
test("streaming response.completed finishes successfully", async () => {
|
||||
const error = await runResponsesStream([
|
||||
{ type: "response.output_text.delta", sequence_number: 1, delta: "done" },
|
||||
{
|
||||
type: "response.completed",
|
||||
sequence_number: 2,
|
||||
response: {
|
||||
id: "resp_completed",
|
||||
object: "response",
|
||||
status: "completed",
|
||||
output: [],
|
||||
error: null,
|
||||
incomplete_details: null,
|
||||
},
|
||||
},
|
||||
]);
|
||||
|
||||
expect(error).toBeUndefined();
|
||||
});
|
||||
|
||||
test("streaming response.failed throws the original service message", async () => {
|
||||
const error = await runResponsesStream([
|
||||
{
|
||||
type: "response.failed",
|
||||
sequence_number: 1,
|
||||
response: {
|
||||
id: "resp_failed",
|
||||
object: "response",
|
||||
status: "failed",
|
||||
output: [],
|
||||
error: { code: "quota_exceeded", message: "provider quota exceeded" },
|
||||
},
|
||||
},
|
||||
]);
|
||||
|
||||
expect(error?.exitCode).toBe(ExitCode.GENERAL);
|
||||
expect(error?.message).toBe("provider quota exceeded");
|
||||
});
|
||||
|
||||
test("streaming response.incomplete exits non-zero with the service reason", async () => {
|
||||
const error = await runResponsesStream([
|
||||
{
|
||||
type: "response.incomplete",
|
||||
sequence_number: 1,
|
||||
response: {
|
||||
id: "resp_incomplete",
|
||||
object: "response",
|
||||
status: "incomplete",
|
||||
output: [],
|
||||
incomplete_details: { reason: "max_output_tokens" },
|
||||
},
|
||||
},
|
||||
]);
|
||||
|
||||
expect(error?.exitCode).toBe(ExitCode.GENERAL);
|
||||
expect(error?.message).toBe("Response incomplete: max_output_tokens");
|
||||
});
|
||||
|
||||
test("stream ending before response.completed exits non-zero", async () => {
|
||||
const error = await runResponsesStream([
|
||||
{ type: "response.output_text.delta", sequence_number: 1, delta: "partial" },
|
||||
]);
|
||||
|
||||
expect(error?.exitCode).toBe(ExitCode.GENERAL);
|
||||
expect(error?.message).toBe(
|
||||
"Stream disconnected before completion: stream closed before response.completed.",
|
||||
);
|
||||
});
|
||||
});
|
||||
@@ -6,6 +6,11 @@ export function chatPath(): string {
|
||||
return "/compatible-mode/v1/chat/completions";
|
||||
}
|
||||
|
||||
// ---- Responses (OpenAI Compatible) ----
|
||||
export function responsesPath(): string {
|
||||
return "/compatible-mode/v1/responses";
|
||||
}
|
||||
|
||||
// ---- Image Generation (DashScope) ----
|
||||
/** Async image API used by wan2.6-t2i / wan2.6-image (T2I) and similar message-format models. */
|
||||
export function imagePath(): string {
|
||||
|
||||
@@ -14,6 +14,7 @@ export {
|
||||
memorySearchPath,
|
||||
mcpWebSearchPath,
|
||||
profileSchemaPath,
|
||||
responsesPath,
|
||||
speechRecognizePath,
|
||||
speechSynthesizePath,
|
||||
taskPath,
|
||||
|
||||
@@ -108,6 +108,44 @@ export interface StreamChunk {
|
||||
};
|
||||
}
|
||||
|
||||
// ---- Responses (OpenAI Compatible) ----
|
||||
|
||||
export interface ResponsesRequest {
|
||||
model: string;
|
||||
input: ChatMessage[];
|
||||
max_output_tokens?: number;
|
||||
temperature?: number;
|
||||
top_p?: number;
|
||||
stream?: boolean;
|
||||
tools?: Array<Record<string, unknown>>;
|
||||
enable_thinking?: boolean;
|
||||
}
|
||||
|
||||
export interface ResponsesOutputContent {
|
||||
type: string;
|
||||
text?: string;
|
||||
}
|
||||
|
||||
export interface ResponsesOutputItem {
|
||||
type: string;
|
||||
content?: ResponsesOutputContent[];
|
||||
[key: string]: unknown;
|
||||
}
|
||||
|
||||
export interface ResponsesResponse {
|
||||
id: string;
|
||||
object: "response";
|
||||
status: string;
|
||||
output: ResponsesOutputItem[];
|
||||
[key: string]: unknown;
|
||||
}
|
||||
|
||||
export interface ResponsesStreamEvent {
|
||||
type: string;
|
||||
delta?: string;
|
||||
[key: string]: unknown;
|
||||
}
|
||||
|
||||
// ---- Image (DashScope) ----
|
||||
|
||||
export interface DashScopeImageRequest {
|
||||
|
||||
@@ -0,0 +1,8 @@
|
||||
import { describe, expect, test } from "vite-plus/test";
|
||||
import { responsesPath } from "../src/index.ts";
|
||||
|
||||
describe("Responses API", () => {
|
||||
test("uses the OpenAI-compatible Responses endpoint", () => {
|
||||
expect(responsesPath()).toBe("/compatible-mode/v1/responses");
|
||||
});
|
||||
});
|
||||
@@ -56,7 +56,7 @@ Use this index for the skill-scoped quick index and global flags.
|
||||
| `bl skill list` | No Auth | List registry skills and diff against local installs | [skill.md](skill.md) |
|
||||
| `bl skill remove` | No Auth | Remove locally installed skills (registry is untouched) | [skill.md](skill.md) |
|
||||
| `bl skill update` | No Auth | Update installed skills to the latest registry versions | [skill.md](skill.md) |
|
||||
| `bl text chat` | API Key | Send a chat completion (OpenAI compatible, DashScope) | [text.md](text.md) |
|
||||
| `bl text chat` | API Key | Send a text model request (OpenAI compatible, DashScope) | [text.md](text.md) |
|
||||
| `bl token-plan add-member` | AK/SK | Add a member to a Token Plan organization | [token-plan.md](token-plan.md) |
|
||||
| `bl token-plan assign-seats` | AK/SK | Batch assign Token Plan seats to members | [token-plan.md](token-plan.md) |
|
||||
| `bl token-plan create-key` | AK/SK | Create a Token Plan API key for a seat | [token-plan.md](token-plan.md) |
|
||||
|
||||
@@ -7,38 +7,39 @@ Index: [index.md](index.md)
|
||||
|
||||
## Commands in this group
|
||||
|
||||
| Command | Authentication | Description |
|
||||
| -------------- | -------------- | ----------------------------------------------------- |
|
||||
| `bl text chat` | API Key | Send a chat completion (OpenAI compatible, DashScope) |
|
||||
| Command | Authentication | Description |
|
||||
| -------------- | -------------- | -------------------------------------------------------- |
|
||||
| `bl text chat` | API Key | Send a text model request (OpenAI compatible, DashScope) |
|
||||
|
||||
## Command details
|
||||
|
||||
### `bl text chat`
|
||||
|
||||
| Field | Value |
|
||||
| ------------------ | ----------------------------------------------------- |
|
||||
| **Name** | `text chat` |
|
||||
| **Description** | Send a chat completion (OpenAI compatible, DashScope) |
|
||||
| **Authentication** | API Key |
|
||||
| **Usage** | `bl text chat --message <text> [flags]` |
|
||||
| Field | Value |
|
||||
| ------------------ | -------------------------------------------------------- |
|
||||
| **Name** | `text chat` |
|
||||
| **Description** | Send a text model request (OpenAI compatible, DashScope) |
|
||||
| **Authentication** | API Key |
|
||||
| **Usage** | `bl text chat --message <text> [flags]` |
|
||||
|
||||
#### Flags
|
||||
|
||||
| Flag | Type | Required | Description |
|
||||
| ------------------------ | ------ | -------- | --------------------------------------------------------------------------- |
|
||||
| `--model <model>` | string | no | Model ID (default: qwen3.8-max) |
|
||||
| `--message <text>` | array | no | Message text (repeatable, prefix role: to set role); or use --messages-file |
|
||||
| `--messages-file <path>` | string | no | JSON file with messages array (use - for stdin) |
|
||||
| `--system <text>` | string | no | System prompt |
|
||||
| `--max-tokens <n>` | number | no | Maximum tokens to generate (default: 4096) |
|
||||
| `--temperature <n>` | number | no | Sampling temperature (0.0, 2.0] |
|
||||
| `--top-p <n>` | number | no | Nucleus sampling threshold |
|
||||
| `--stream` | switch | no | Stream response tokens (default: on in TTY) |
|
||||
| `--tool <json-or-path>` | array | no | Tool definition as JSON or file path (repeatable) |
|
||||
| `--enable-thinking` | switch | no | Enable thinking/reasoning mode (for qwen3/qwq models) |
|
||||
| `--thinking-budget <n>` | number | no | Max tokens for thinking (default: 4096) |
|
||||
| `--api-key <key>` | string | no | API key |
|
||||
| `--base-url <url>` | string | no | API base URL |
|
||||
| Flag | Type | Required | Description |
|
||||
| ------------------------- | ------ | -------- | --------------------------------------------------------------------------- |
|
||||
| `--api <chat\|responses>` | string | no | API to call (default: chat) |
|
||||
| `--model <model>` | string | no | Model ID (default: qwen3.8-max) |
|
||||
| `--message <text>` | array | no | Message text (repeatable, prefix role: to set role); or use --messages-file |
|
||||
| `--messages-file <path>` | string | no | JSON file with messages array (use - for stdin) |
|
||||
| `--system <text>` | string | no | System prompt |
|
||||
| `--max-tokens <n>` | number | no | Maximum tokens to generate (default: 4096) |
|
||||
| `--temperature <n>` | number | no | Sampling temperature (0.0, 2.0] |
|
||||
| `--top-p <n>` | number | no | Nucleus sampling threshold |
|
||||
| `--stream` | switch | no | Stream response tokens (default: on in TTY) |
|
||||
| `--tool <json-or-path>` | array | no | Tool definition as JSON or file path (repeatable) |
|
||||
| `--enable-thinking` | switch | no | Enable thinking/reasoning mode (for qwen3/qwq models) |
|
||||
| `--thinking-budget <n>` | number | no | Max tokens for thinking (default: 4096) |
|
||||
| `--api-key <key>` | string | no | API key |
|
||||
| `--base-url <url>` | string | no | API base URL |
|
||||
|
||||
#### Examples
|
||||
|
||||
@@ -46,6 +47,10 @@ Index: [index.md](index.md)
|
||||
bl text chat --message "What is Qwen?"
|
||||
```
|
||||
|
||||
```bash
|
||||
bl text chat --api responses --model qwen3.8-max --tool '{"type":"web_search"}' --message "Search for recent Alibaba Cloud news"
|
||||
```
|
||||
|
||||
```bash
|
||||
bl text chat --model qwen-max --system "You are a coding assistant." --message "Write fizzbuzz in Python"
|
||||
```
|
||||
|
||||
Reference in New Issue
Block a user