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README.md
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README.md
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# Go LLM Gateway
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## Overview
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A lightweight LLM proxy gateway written in Go that provides a unified API interface for multiple LLM providers. Similar to LiteLLM, but built natively in Go using each provider's official SDK.
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## Purpose
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Simplify LLM integration by exposing a single, consistent API that routes requests to different providers:
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- **Google Generative AI** (Gemini)
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- **Anthropic** (Claude)
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- **OpenAI** (GPT models)
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Instead of managing multiple SDK integrations in your application, call one endpoint and let the gateway handle provider-specific implementations.
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## Architecture
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```
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Client Request
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↓
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Go LLM Gateway (unified API)
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↓
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├─→ Google Gen AI SDK
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├─→ Anthropic SDK
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└─→ OpenAI SDK
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```
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## Key Features
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- **Single API interface** for multiple LLM providers
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- **Native Go SDKs** for optimal performance and type safety
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- **Provider abstraction** - switch providers without changing client code
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- **Lightweight** - minimal overhead, fast routing
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- **Easy configuration** - manage API keys and provider settings centrally
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## Use Cases
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- Applications that need multi-provider LLM support
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- Cost optimization (route to cheapest provider for specific tasks)
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- Failover and redundancy (fallback to alternative providers)
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- A/B testing across different models
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- Centralized LLM access for microservices
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## 🎉 Status: **WORKING!**
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✅ **All three providers integrated with official Go SDKs:**
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- OpenAI → `github.com/openai/openai-go`
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- Anthropic → `github.com/anthropics/anthropic-sdk-go`
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- Google → `google.golang.org/genai`
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✅ **Compiles successfully** (36MB binary)
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✅ **Provider auto-selection** (gpt→OpenAI, claude→Anthropic, gemini→Google)
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✅ **Configuration system** (YAML with env var support)
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✅ **Streaming support** (Server-Sent Events for all providers)
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## Quick Start
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```bash
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# 1. Set API keys
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export OPENAI_API_KEY="your-key"
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export ANTHROPIC_API_KEY="your-key"
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export GOOGLE_API_KEY="your-key"
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# 2. Build
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cd go-llm-gateway
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go build -o gateway ./cmd/gateway
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# 3. Run
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./gateway
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# 4. Test (non-streaming)
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curl -X POST http://localhost:8080/v1/chat/completions \
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-H "Content-Type: application/json" \
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-d '{
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"model": "gpt-4o-mini",
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"input": [
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{
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"role": "user",
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"content": [{"type": "input_text", "text": "Hello!"}]
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}
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]
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}'
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# 5. Test streaming
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curl -X POST http://localhost:8080/v1/chat/completions \
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-H "Content-Type: application/json" \
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-N \
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-d '{
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"model": "claude-3-5-sonnet-20241022",
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"stream": true,
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"input": [
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{
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"role": "user",
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"content": [{"type": "input_text", "text": "Write a haiku about Go"}]
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}
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]
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}'
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```
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## API Standard
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This gateway implements the **[Open Responses](https://www.openresponses.org)** specification — an open-source, multi-provider API standard for LLM interfaces based on OpenAI's Responses API.
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**Why Open Responses:**
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- **Multi-provider by default** - one schema that maps cleanly across providers
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- **Agentic workflow support** - consistent streaming events, tool invocation patterns, and "items" as atomic units
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- **Extensible** - stable core with room for provider-specific features
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By following the Open Responses spec, this gateway ensures:
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- Interoperability across different LLM providers
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- Standard request/response formats (messages, tool calls, streaming)
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- Compatibility with existing Open Responses tooling and ecosystem
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For full specification details, see: **https://www.openresponses.org**
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## Tech Stack
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- **Language:** Go
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- **API Specification:** [Open Responses](https://www.openresponses.org)
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- **SDKs:**
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- `google.golang.org/genai` (Google Generative AI)
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- Anthropic Go SDK
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- OpenAI Go SDK
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- **Transport:** RESTful HTTP (potentially gRPC in the future)
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## Status
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🚧 **In Development** - Project specification and initial setup phase.
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## Getting Started
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1. **Copy the example config** and fill in provider API keys:
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```bash
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cp config.example.yaml config.yaml
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```
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You can also override API keys via environment variables (`GOOGLE_API_KEY`, `ANTHROPIC_API_KEY`, `OPENAI_API_KEY`).
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2. **Run the gateway** using the default configuration path:
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```bash
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go run ./cmd/gateway --config config.yaml
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```
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The server listens on the address configured under `server.address` (defaults to `:8080`).
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3. **Call the Open Responses endpoint**:
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```bash
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curl -X POST http://localhost:8080/v1/responses \
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-H 'Content-Type: application/json' \
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-d '{
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"model": "gpt-4o-mini",
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"input": [
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{"role": "user", "content": [{"type": "input_text", "text": "Hello!"}]}
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]
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}'
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```
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Include `"provider": "anthropic"` (or `google`, `openai`) to pin a provider; otherwise the gateway infers it from the model name.
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## Project Structure
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- `cmd/gateway`: Entry point that loads configuration, wires providers, and starts the HTTP server.
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- `internal/config`: YAML configuration loader with environment overrides for API keys.
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- `internal/api`: Open Responses request/response types and validation helpers.
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- `internal/server`: HTTP handlers that expose `/v1/responses`.
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- `internal/providers`: Provider abstractions plus provider-specific scaffolding in `google`, `anthropic`, and `openai` subpackages.
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## Next Steps
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- Implement the actual SDK calls inside each provider using the official Go clients.
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- Support streaming responses and tool invocation per the broader Open Responses spec.
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- Add structured logging, tracing, and request-level metrics.
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- Expand configuration to support routing policies (cost, latency, failover, etc.).
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