mirror of
https://github.com/sst/opencode.git
synced 2025-08-14 02:08:01 +00:00
This commit is contained in:
Frank
parent
2970ba6416
commit
40036abb9d
10 changed files with 616 additions and 8 deletions
499
packages/function/src/gateway.ts
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499
packages/function/src/gateway.ts
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@ -0,0 +1,499 @@
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import { Hono, Context, Next } from "hono"
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import { Resource } from "sst"
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import { generateText, streamText } from "ai"
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import { createAnthropic } from "@ai-sdk/anthropic"
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import { createOpenAI } from "@ai-sdk/openai"
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import { createOpenAICompatible } from "@ai-sdk/openai-compatible"
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import { type LanguageModelV2Prompt } from "@ai-sdk/provider"
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import { type ChatCompletionCreateParamsBase } from "openai/resources/chat/completions"
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type Env = {}
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const auth = async (c: Context, next: Next) => {
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const authHeader = c.req.header("authorization")
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if (!authHeader || !authHeader.startsWith("Bearer ")) {
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return c.json(
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{
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error: {
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message: "Missing API key.",
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type: "invalid_request_error",
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param: null,
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code: "unauthorized",
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},
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},
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401,
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)
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}
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const apiKey = authHeader.split(" ")[1]
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// Replace with your validation logic
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if (apiKey !== Resource.OPENCODE_API_KEY.value) {
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return c.json(
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{
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error: {
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message: "Invalid API key.",
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type: "invalid_request_error",
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param: null,
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code: "unauthorized",
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},
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},
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401,
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)
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}
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await next()
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}
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export default new Hono<{ Bindings: Env }>()
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.get("/", (c) => c.text("Hello, world!"))
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.post("/v1/chat/completions", auth, async (c) => {
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try {
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const body = await c.req.json<ChatCompletionCreateParamsBase>()
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console.log(body)
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const model = (() => {
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const [provider, ...parts] = body.model.split("/")
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const model = parts.join("/")
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if (provider === "anthropic" && model === "claude-sonnet-4") {
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return createAnthropic({
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apiKey: Resource.ANTHROPIC_API_KEY.value,
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})("claude-sonnet-4-20250514")
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}
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if (provider === "openai" && model === "gpt-4.1") {
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return createOpenAI({
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apiKey: Resource.OPENAI_API_KEY.value,
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})("gpt-4.1")
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}
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if (provider === "zhipuai" && model === "glm-4.5-flash") {
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return createOpenAICompatible({
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name: "Zhipu AI",
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baseURL: "https://api.z.ai/api/paas/v4",
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apiKey: Resource.ZHIPU_API_KEY.value,
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})("glm-4.5-flash")
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}
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throw new Error(`Unsupported provider: ${provider}`)
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})()
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const requestBody = transformOpenAIRequestToAiSDK()
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return body.stream ? await handleStream() : await handleGenerate()
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async function handleStream() {
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const result = await streamText({
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model,
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...requestBody,
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})
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const encoder = new TextEncoder()
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const stream = new ReadableStream({
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async start(controller) {
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const id = `chatcmpl-${Date.now()}`
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const created = Math.floor(Date.now() / 1000)
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try {
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for await (const chunk of result.fullStream) {
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// TODO
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//console.log("!!! CHUCK !!!", chunk);
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switch (chunk.type) {
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case "text-delta": {
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const data = {
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id,
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object: "chat.completion.chunk",
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created,
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model: body.model,
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choices: [
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{
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index: 0,
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delta: {
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content: chunk.text,
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},
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finish_reason: null,
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},
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],
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}
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controller.enqueue(encoder.encode(`data: ${JSON.stringify(data)}\n\n`))
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break
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}
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case "reasoning-delta": {
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const data = {
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id,
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object: "chat.completion.chunk",
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created,
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model: body.model,
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choices: [
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{
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index: 0,
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delta: {
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reasoning_content: chunk.text,
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},
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finish_reason: null,
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},
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],
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}
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controller.enqueue(encoder.encode(`data: ${JSON.stringify(data)}\n\n`))
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break
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}
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case "tool-call": {
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const data = {
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id,
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object: "chat.completion.chunk",
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created,
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model: body.model,
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choices: [
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{
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index: 0,
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delta: {
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tool_calls: [
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{
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id: chunk.toolCallId,
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type: "function",
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function: {
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name: chunk.toolName,
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arguments: JSON.stringify(chunk.input),
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},
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},
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],
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},
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finish_reason: null,
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},
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],
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}
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controller.enqueue(encoder.encode(`data: ${JSON.stringify(data)}\n\n`))
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break
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}
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case "error": {
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const data = {
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id,
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object: "chat.completion.chunk",
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created,
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model: body.model,
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error: {
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message: chunk.error,
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type: "server_error",
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},
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}
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controller.enqueue(encoder.encode(`data: ${JSON.stringify(data)}\n\n`))
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controller.enqueue(encoder.encode("data: [DONE]\n\n"))
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controller.close()
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break
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}
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case "finish": {
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const finishReason =
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{
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stop: "stop",
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length: "length",
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"content-filter": "content_filter",
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"tool-calls": "tool_calls",
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error: "stop",
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other: "stop",
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unknown: "stop",
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}[chunk.finishReason] || "stop"
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const data = {
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id,
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object: "chat.completion.chunk",
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created,
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model: body.model,
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choices: [
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{
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index: 0,
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delta: {},
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finish_reason: finishReason,
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},
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],
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usage: {
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prompt_tokens: chunk.totalUsage.inputTokens,
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completion_tokens: chunk.totalUsage.outputTokens,
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total_tokens: chunk.totalUsage.totalTokens,
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completion_tokens_details: {
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reasoning_tokens: chunk.totalUsage.reasoningTokens,
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},
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prompt_tokens_details: {
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cached_tokens: chunk.totalUsage.cachedInputTokens,
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},
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},
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}
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controller.enqueue(encoder.encode(`data: ${JSON.stringify(data)}\n\n`))
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controller.enqueue(encoder.encode("data: [DONE]\n\n"))
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controller.close()
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break
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}
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//case "stream-start":
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//case "response-metadata":
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case "start-step":
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case "finish-step":
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case "text-start":
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case "text-end":
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case "reasoning-start":
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case "reasoning-end":
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case "tool-input-start":
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case "tool-input-delta":
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case "tool-input-end":
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case "raw":
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default:
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// Log unknown chunk types for debugging
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console.warn(`Unknown chunk type: ${(chunk as any).type}`)
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break
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}
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}
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} catch (error) {
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controller.error(error)
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}
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},
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})
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return new Response(stream, {
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headers: {
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"Content-Type": "text/plain; charset=utf-8",
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"Cache-Control": "no-cache",
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Connection: "keep-alive",
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},
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})
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}
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async function handleGenerate() {
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const response = await generateText({
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model,
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...requestBody,
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})
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return c.json({
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id: `chatcmpl-${Date.now()}`,
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object: "chat.completion" as const,
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created: Math.floor(Date.now() / 1000),
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model: body.model,
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choices: [
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{
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index: 0,
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message: {
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role: "assistant" as const,
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content: response.content?.find((c) => c.type === "text")?.text ?? "",
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reasoning_content: response.content?.find((c) => c.type === "reasoning")?.text,
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tool_calls: response.content
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?.filter((c) => c.type === "tool-call")
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.map((toolCall) => ({
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id: toolCall.toolCallId,
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type: "function" as const,
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function: {
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name: toolCall.toolName,
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arguments: toolCall.input,
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},
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})),
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},
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finish_reason:
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(
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{
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stop: "stop",
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length: "length",
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"content-filter": "content_filter",
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"tool-calls": "tool_calls",
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error: "stop",
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other: "stop",
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unknown: "stop",
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} as const
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)[response.finishReason] || "stop",
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},
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],
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usage: {
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prompt_tokens: response.usage?.inputTokens,
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completion_tokens: response.usage?.outputTokens,
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total_tokens: response.usage?.totalTokens,
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completion_tokens_details: {
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reasoning_tokens: response.usage?.reasoningTokens,
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},
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prompt_tokens_details: {
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cached_tokens: response.usage?.cachedInputTokens,
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},
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},
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})
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}
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function transformOpenAIRequestToAiSDK() {
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const prompt = transformMessages()
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return {
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prompt,
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maxOutputTokens: body.max_tokens ?? body.max_completion_tokens ?? undefined,
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temperature: body.temperature ?? undefined,
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topP: body.top_p ?? undefined,
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frequencyPenalty: body.frequency_penalty ?? undefined,
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presencePenalty: body.presence_penalty ?? undefined,
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providerOptions: body.reasoning_effort
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? {
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anthropic: {
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reasoningEffort: body.reasoning_effort,
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},
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}
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: undefined,
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stopSequences: (typeof body.stop === "string" ? [body.stop] : body.stop) ?? undefined,
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responseFormat: (() => {
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if (!body.response_format) return { type: "text" }
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if (body.response_format.type === "json_schema")
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return {
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type: "json",
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schema: body.response_format.json_schema.schema,
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name: body.response_format.json_schema.name,
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description: body.response_format.json_schema.description,
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}
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if (body.response_format.type === "json_object") return { type: "json" }
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throw new Error("Unsupported response format")
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})(),
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seed: body.seed ?? undefined,
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}
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function transformTools() {
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const { tools, tool_choice } = body
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if (!tools || tools.length === 0) {
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return { tools: undefined, toolChoice: undefined }
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}
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const aiSdkTools = tools.reduce(
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(acc, tool) => {
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acc[tool.function.name] = {
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type: "function" as const,
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name: tool.function.name,
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description: tool.function.description,
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inputSchema: tool.function.parameters,
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}
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return acc
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},
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{} as Record<string, any>,
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)
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let aiSdkToolChoice
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if (tool_choice == null) {
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aiSdkToolChoice = undefined
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} else if (tool_choice === "auto") {
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aiSdkToolChoice = "auto"
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} else if (tool_choice === "none") {
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aiSdkToolChoice = "none"
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} else if (tool_choice === "required") {
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aiSdkToolChoice = "required"
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} else if (tool_choice.type === "function") {
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aiSdkToolChoice = {
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type: "tool",
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toolName: tool_choice.function.name,
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}
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}
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return { tools: aiSdkTools, toolChoice: aiSdkToolChoice }
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}
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function transformMessages() {
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const { messages } = body
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const prompt: LanguageModelV2Prompt = []
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for (const message of messages) {
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switch (message.role) {
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case "system": {
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prompt.push({
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role: "system",
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content: message.content as string,
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})
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break
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}
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case "user": {
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if (typeof message.content === "string") {
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prompt.push({
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role: "user",
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content: [{ type: "text", text: message.content }],
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})
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} else {
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const content = message.content.map((part) => {
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switch (part.type) {
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case "text":
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return { type: "text" as const, text: part.text }
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case "image_url":
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return {
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type: "file" as const,
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mediaType: "image/jpeg" as const,
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data: part.image_url.url,
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}
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default:
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throw new Error(`Unsupported content part type: ${(part as any).type}`)
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}
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})
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prompt.push({
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role: "user",
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content,
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})
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}
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break
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}
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case "assistant": {
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const content: Array<
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| { type: "text"; text: string }
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| {
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type: "tool-call"
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toolCallId: string
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toolName: string
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input: any
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}
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> = []
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if (message.content) {
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content.push({
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type: "text",
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text: message.content as string,
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})
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}
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if (message.tool_calls) {
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for (const toolCall of message.tool_calls) {
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content.push({
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type: "tool-call",
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toolCallId: toolCall.id,
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toolName: toolCall.function.name,
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input: JSON.parse(toolCall.function.arguments),
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})
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}
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}
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prompt.push({
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role: "assistant",
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content,
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})
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break
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}
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case "tool": {
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prompt.push({
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role: "tool",
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content: [
|
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{
|
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type: "tool-result",
|
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toolName: "placeholder",
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toolCallId: message.tool_call_id,
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output: {
|
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type: "text",
|
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value: message.content as string,
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},
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},
|
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],
|
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})
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break
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}
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|
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default: {
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throw new Error(`Unsupported message role: ${message.role}`)
|
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}
|
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}
|
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}
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return prompt
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}
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}
|
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} catch (error: any) {
|
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return c.json({ error: { message: error.message } }, 500)
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}
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})
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.all("*", (c) => c.text("Not Found"))
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