feat: initial implementation of qflash gateway
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# qflash: OpenAI Proxy Gateway for Qwen3.8-Flash-Next
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Standalone, performant, zero-dependency Go OpenAI proxy gateway for the **Qwen3.8-Flash-Next** Hugging Face Gradio space (`https://halvo78-qwen3-8-flash-next-playground.hf.space`).
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Created by Luxferre in 2026, released into the public domain.
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---
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## Features
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- **Zero External Dependencies**: Built entirely with Go standard library packages (`net/http`, `encoding/json`, `bufio`, etc.).
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- **OpenAI-Compatible API**: Implements standard `/v1/chat/completions` (streaming & non-streaming) and `/v1/models`.
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- **Real-Time Token Streaming**: Streams SSE chunks with incremental token delivery directly to clients.
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- **Deep Reasoning Separation**:
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- Automatically isolates thinking traces from both standard `<think>...</think>` tags and the playground's blockquote thinking blocks (`> 💭 **Thinking Process...**`).
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- Emits pure thought traces to `delta.reasoning_content` (streaming) and `message.reasoning_content` (non-streaming).
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- Keeps `delta.content` and `message.content` clean.
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- **Stateful Streaming Tool Call Interception**:
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- Injects tool schemas into system instructions.
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- Intercepts `<tool_call>` blocks in real time via `StreamToolCallFilter` without leaking raw XML or JSON into `delta.content`.
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- Emits structured `delta.tool_calls` chunks and sets `finish_reason: "tool_calls"`.
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- **Reasoning Effort Control**: Respects standard `reasoning_effort: "none"` to switch dynamically into high-speed Instruct Mode.
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- **Zero-Dependency SOCKS5 Proxy Client**:
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- RFC 1928 and RFC 1929 compliant client with domain resolution (`socks5h://`), IPv4, IPv6, and authentication.
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- Wireable via `-socks` CLI flag or `ALL_PROXY` / `SOCKS5_PROXY` environment variables.
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- **Bring Your Own Key (BYOK) Pass-through**:
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- Passes client API keys or custom base URLs directly to upstream inference engines when provided.
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---
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## Architecture & Model Aliases
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The gateway serves the following models under `/v1/models`:
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| Model ID | Target Model | Description |
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|---|---|---|
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| `Qwen/Qwen3.8-Flash-Next` | `Qwen/Qwen3.8-Flash-Next` | Primary playground model (125B MoE, 6B activated) |
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| `qwen3.8-flash-next` | `Qwen/Qwen3.8-Flash-Next` | Standard lowercase alias |
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| `qwen-flash-next` | `Qwen/Qwen3.8-Flash-Next` | Shorthand alias |
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| `qwen-flash` | `Qwen/Qwen3.8-Flash-Next` | Quick convenience alias |
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Any unlisted custom model name requested by the client is passed through directly.
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---
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## Build Instructions
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Build binary with Go:
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```bash
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make qflash
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```
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Or run test suite:
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```bash
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make test
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```
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The resulting binary will be placed at `bin/qflash`.
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---
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## Configuration Flags & Environment Variables
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| Flag | Shorthand | Environment Variable | Default | Description |
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|---|---|---|---|---|
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| `-port` | | `PORT` | `8080` | Port to bind the HTTP server |
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| `-endpoint` | | | `https://halvo78-qwen3-8-flash-next-playground.hf.space` | Upstream Gradio space base URL |
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| `-model` | | | `Qwen/Qwen3.8-Flash-Next` | Default model ID |
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| `-thinking` | `-enable-thinking` | | `true` | Enable chain-of-thought reasoning by default |
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| `-hf-token` | | `HF_TOKEN` | `""` | Hugging Face user access token |
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| `-api-key` | | `OPENAI_API_KEY` / `QWEN_API_KEY` | `""` | Upstream inference engine API key |
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| `-base-url` | | `OPENAI_BASE_URL` / `QWEN_BASE_URL` | `""` | Upstream inference engine base URL |
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| `-user-agent` | `-ua` | `USER_AGENT` | Firefox 153 on Linux | Custom User-Agent header |
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| `-socks` | `-proxy`, `-socks5` | `ALL_PROXY`, `SOCKS5_PROXY` | `""` | SOCKS5 proxy URL (`socks5://127.0.0.1:1080`) |
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---
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## Usage Examples
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### 1. Launch Gateway
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```bash
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./bin/qflash -port 8080
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```
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### 2. List Models
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```bash
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curl http://127.0.0.1:8080/v1/models
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```
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### 3. Non-Streaming Chat Completion
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```bash
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curl -X POST http://127.0.0.1:8080/v1/chat/completions \
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-H "Content-Type: application/json" \
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-d '{
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"model": "qwen3.8-flash-next",
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"messages": [
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{"role": "user", "content": "Explain QSA micro-blocks in one sentence."}
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],
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"stream": false
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}'
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```
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### 4. Streaming Chat Completion (Real-Time SSE)
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```bash
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curl -N -X POST http://127.0.0.1:8080/v1/chat/completions \
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-H "Content-Type: application/json" \
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-d '{
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"model": "qwen-flash",
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"messages": [
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{"role": "user", "content": "Write a quick Python countdown loop."}
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],
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"stream": true
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}'
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```
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### 5. Instruct Mode (Disable Thinking)
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```bash
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curl -X POST http://127.0.0.1:8080/v1/chat/completions \
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-H "Content-Type: application/json" \
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-d '{
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"model": "qwen-flash",
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"messages": [
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{"role": "user", "content": "Hello!"}
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],
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"reasoning_effort": "none"
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}'
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```
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### 6. Python OpenAI SDK Integration
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```python
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from openai import OpenAI
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client = OpenAI(
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base_url="http://127.0.0.1:8080/v1",
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api_key="sk-dummy"
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)
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stream = client.chat.completions.create(
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model="qwen3.8-flash-next",
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messages=[
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{"role": "user", "content": "Prove that the sum of the first n odd numbers is n^2."}
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],
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stream=True
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)
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for chunk in stream:
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delta = chunk.choices[0].delta
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if hasattr(delta, "reasoning_content") and delta.reasoning_content:
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print(f"[THINK] {delta.reasoning_content}", end="", flush=True)
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if delta.content:
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print(delta.content, end="", flush=True)
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print()
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```
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