singularity-forge/packages/pi-coding-agent/src/utils/proxy-server.ts

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import express from "express";
import type { Server } from "http";
import {
getModels,
stream,
type Context,
type Message,
type Model,
type StreamOptions,
} from "@singularity-forge/pi-ai";
import { AuthStorage } from "../core/auth-storage.js";
import { ModelRegistry } from "../core/model-registry.js";
export type ProxyServerOptions = {
port: number;
authStorage: AuthStorage;
modelRegistry: ModelRegistry;
onLog?: (msg: string) => void;
};
export class ProxyServer {
private server: Server | null = null;
constructor(private options: ProxyServerOptions) {}
async start(): Promise<void> {
if (this.server) return;
const app = express();
app.use(express.json());
const { authStorage, modelRegistry, onLog } = this.options;
const log = (msg: string) => onLog?.(msg);
// 1. Model Listing
app.get(["/v1/models", "/v1beta/models"], async (req, res) => {
const providers = ["google", "google-gemini-cli", "google-vertex", "anthropic", "openai"];
const allModels = providers.flatMap((p) => getModels(p as any));
const formatted = allModels.map((m) => ({
id: m.id,
object: "model",
created: 1677610602,
owned_by: m.provider,
name: m.name,
capabilities: m.capabilities,
}));
if (req.path.startsWith("/v1beta")) {
res.json({ models: formatted });
} else {
res.json({ data: formatted, object: "list" });
}
});
// 2. Chat Completions (OpenAI & GenAI)
const handleChat = async (req: express.Request, res: express.Response) => {
const body = req.body;
const isOpenAi = req.path.includes("/v1/chat/completions");
const modelId = isOpenAi ? body.model : req.params.modelId?.replace(/:streamGenerateContent$/, "");
if (!modelId) {
return res.status(400).json({ error: "Model ID is required" });
}
try {
// Resolve model and provider
const resolvedModel = modelRegistry.getModel(modelId);
if (!resolvedModel) {
return res.status(404).json({ error: `Model ${modelId} not found` });
}
// Resolve API key
const apiKey = await authStorage.getApiKey(resolvedModel.provider);
if (!apiKey) {
return res.status(401).json({ error: `No API key for provider ${resolvedModel.provider}. Use /login first.` });
}
// Normalize messages
const context: Context = isOpenAi
? this.normalizeOpenAi(body)
: this.normalizeGoogle(body);
const streamOptions: StreamOptions = {
apiKey,
temperature: body.temperature,
maxTokens: isOpenAi ? body.max_tokens : body.generationConfig?.maxOutputTokens,
};
const eventStream = stream(resolvedModel as any, context, streamOptions);
if (body.stream) {
this.handleStreamingResponse(eventStream, res, isOpenAi, modelId);
} else {
await this.handleStaticResponse(eventStream, res, isOpenAi, modelId);
}
} catch (err: any) {
log(`Proxy error: ${err.message}`);
res.status(500).json({ error: err.message });
}
};
app.post("/v1/chat/completions", handleChat);
app.post("/v1beta/models/:modelId\\:streamGenerateContent", handleChat);
return new Promise((resolve) => {
this.server = app.listen(this.options.port, () => {
log(`Proxy Server running on http://localhost:${this.options.port}`);
resolve();
});
});
}
stop(): void {
if (this.server) {
this.server.close();
this.server = null;
}
}
private normalizeOpenAi(body: any): Context {
const messages = body.messages || [];
const system = messages.find((m: any) => m.role === "system")?.content;
const history = messages.filter((m: any) => m.role !== "system").map((m: any) => ({
role: m.role === "user" ? "user" : "assistant",
content: typeof m.content === "string" ? [{ type: "text", text: m.content }] : m.content,
}));
return { messages: history, systemPrompt: system };
}
private normalizeGoogle(body: any): Context {
const contents = body.contents || [];
const history = contents.map((c: any) => ({
role: c.role === "user" ? "user" : "assistant",
content: (c.parts || []).map((p: any) => ({ type: "text", text: p.text })),
}));
const system = body.systemInstruction?.parts?.[0]?.text;
return { messages: history, systemPrompt: system };
}
private handleStreamingResponse(eventStream: any, res: express.Response, isOpenAi: boolean, modelId: string) {
res.setHeader("Content-Type", isOpenAi ? "text/event-stream" : "application/json");
eventStream.on("data", (ev: any) => {
if (ev.type === "text_delta") {
if (isOpenAi) {
const chunk = {
id: `chatcmpl-${Date.now()}`,
object: "chat.completion.chunk",
created: Math.floor(Date.now() / 1000),
model: modelId,
choices: [{ index: 0, delta: { content: ev.delta }, finish_reason: null }],
};
res.write(`data: ${JSON.stringify(chunk)}\n\n`);
} else {
const chunk = { candidates: [{ content: { parts: [{ text: ev.delta }] } }] };
res.write(JSON.stringify(chunk) + "\n");
}
}
});
eventStream.on("done", () => {
if (isOpenAi) res.write("data: [DONE]\n\n");
res.end();
});
eventStream.on("error", (ev: any) => {
if (!res.headersSent) res.status(500).json({ error: ev.error.errorMessage });
else res.end();
});
}
private async handleStaticResponse(eventStream: any, res: express.Response, isOpenAi: boolean, modelId: string) {
let fullContent = "";
eventStream.on("data", (ev: any) => {
if (ev.type === "text_delta") fullContent += ev.delta;
});
return new Promise<void>((resolve) => {
eventStream.on("done", () => {
if (isOpenAi) {
res.json({
id: `chatcmpl-${Date.now()}`,
object: "chat.completion",
created: Math.floor(Date.now() / 1000),
model: modelId,
choices: [{ index: 0, message: { role: "assistant", content: fullContent }, finish_reason: "stop" }],
});
} else {
res.json({ candidates: [{ content: { parts: [{ text: fullContent }] } }] });
}
resolve();
});
eventStream.on("error", (ev: any) => {
res.status(500).json({ error: ev.error.errorMessage });
resolve();
});
});
}
}