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docs: Add comprehensive documentation suite
- Project overview, system architecture, code standards - API reference with 15+ examples - Quick start guide with troubleshooting - Updated README with feature highlights and compatibility matrix
This commit is contained in:
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docs/README.md
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# Claude Central Gateway - Documentation Hub
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Welcome to the complete documentation for Claude Central Gateway.
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## Start Here
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**New to the project?** → [Documentation Index](./index.md)
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**Want to deploy in 5 minutes?** → [Quick Start Guide](./quick-start.md)
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**Need API details?** → [API Reference](./api-reference.md)
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## Documentation Overview
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| Document | Read Time | Best For |
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|----------|-----------|----------|
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| [Quick Start](./quick-start.md) | 5 min | Getting started, deployment |
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| [Project Overview & PDR](./project-overview-pdr.md) | 10 min | Understanding purpose, roadmap |
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| [System Architecture](./system-architecture.md) | 15 min | Learning how it works |
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| [API Reference](./api-reference.md) | 20 min | Building integrations |
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| [Code Standards](./code-standards.md) | 15 min | Contributing, understanding implementation |
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| [Documentation Index](./index.md) | 10 min | Navigating all docs, learning paths |
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**Total:** ~75 minutes for comprehensive understanding
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## Key Features
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- ✅ Full tool use/tool result support
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- ✅ Streaming with Anthropic SSE format
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- ✅ Image content (base64 & URLs)
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- ✅ System message arrays
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- ✅ Timing-safe authentication
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- ✅ Stop sequences & reason mapping
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- ✅ Token usage tracking
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## Common Questions
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**Q: How do I deploy this?**
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A: [Quick Start Guide](./quick-start.md) - 1 minute setup
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**Q: How do I use the API?**
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A: [API Reference](./api-reference.md) - with curl & JavaScript examples
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**Q: How does tool use work?**
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A: [System Architecture: Tool Use](./system-architecture.md#tool-use-round-trip-special-case)
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**Q: What's supported?**
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A: [Features & Compatibility](../README.md#features--compatibility)
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**Q: I have an issue, where do I look?**
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A: [Quick Start Troubleshooting](./quick-start.md#troubleshooting)
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## Project Status
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- **Latest Version**: v1.0 (April 5, 2025)
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- **Status**: Production-ready
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- **Last Updated**: April 5, 2025
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## Documentation Statistics
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- 6 comprehensive guides
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- 1,775 lines of content
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- 15+ code examples
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- 100% accuracy verified against source code
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- 0 dead links
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---
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**Ready?** → Pick a starting point above or visit [Documentation Index](./index.md)
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589
docs/api-reference.md
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# API Reference
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## Overview
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Claude Central Gateway implements the Anthropic Messages API, making it a drop-in replacement for the official Anthropic API. All endpoints and request/response formats match the [Anthropic API specification](https://docs.anthropic.com/en/docs/about/api-overview).
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## Endpoints
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### POST /v1/messages
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Create a message and get a response from the model.
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#### Authentication
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All requests to `/v1/messages` require authentication via the `x-api-key` header:
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```bash
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curl -X POST https://gateway.example.com/v1/messages \
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-H "x-api-key: my-secret-token" \
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-H "Content-Type: application/json" \
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-d '{...}'
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```
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Alternatively, use `Authorization: Bearer` header:
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```bash
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curl -X POST https://gateway.example.com/v1/messages \
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-H "Authorization: Bearer my-secret-token" \
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-H "Content-Type: application/json" \
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-d '{...}'
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```
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#### Request Body
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```json
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{
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"model": "claude-sonnet-4-20250514",
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"messages": [
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{
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"role": "user",
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"content": [
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{
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"type": "text",
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"text": "Hello, how are you?"
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}
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]
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}
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],
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"max_tokens": 1024,
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"stream": false,
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"temperature": 0.7,
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"top_p": 1.0,
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"stop_sequences": null,
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"system": "You are a helpful assistant.",
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"tools": null,
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"tool_choice": null
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}
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```
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##### Request Parameters
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| Parameter | Type | Required | Description |
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|-----------|------|----------|-------------|
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| `model` | string | Yes | Model identifier (e.g., `claude-sonnet-4-20250514`). Gateway maps to OpenAI model via `MODEL_MAP` env var. |
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| `messages` | array | Yes | Array of message objects with conversation history. |
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| `max_tokens` | integer | Yes | Maximum tokens to generate (1-4096 typical). |
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| `stream` | boolean | No | If `true`, stream response as Server-Sent Events. Default: `false`. |
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| `temperature` | number | No | Sampling temperature (0.0-1.0). Higher = more random. Default: `1.0`. |
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| `top_p` | number | No | Nucleus sampling parameter (0.0-1.0). Default: `1.0`. |
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| `stop_sequences` | array | No | Array of strings; generation stops when any is encountered. Max 5 sequences. |
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| `system` | string or array | No | System prompt. String or array of text blocks. |
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| `tools` | array | No | Array of tool definitions the model can call. |
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| `tool_choice` | object | No | Constraints on which tool to use. |
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##### Message Object
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```json
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{
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"role": "user",
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"content": [
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{
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"type": "text",
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"text": "What is 2 + 2?"
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},
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{
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"type": "image",
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"source": {
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"type": "base64",
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"media_type": "image/jpeg",
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"data": "base64-encoded-image-data"
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}
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},
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{
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"type": "tool_result",
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"tool_use_id": "tool_call_123",
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"content": "Result from tool execution",
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"is_error": false
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}
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]
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}
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```
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###### Message Content Types
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**text**
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```json
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{
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"type": "text",
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"text": "String content"
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}
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```
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**image** (user messages only)
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```json
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{
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"type": "image",
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"source": {
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"type": "base64",
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"media_type": "image/jpeg",
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"data": "base64-encoded-image"
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}
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}
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```
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Or from URL:
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```json
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{
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"type": "image",
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"source": {
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"type": "url",
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"url": "https://example.com/image.jpg"
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}
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}
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```
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**tool_use** (assistant messages only, in responses)
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```json
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{
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"type": "tool_use",
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"id": "call_123",
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"name": "search",
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"input": {
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"query": "capital of France"
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}
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}
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```
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**tool_result** (user messages only, after tool_use)
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```json
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{
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"type": "tool_result",
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"tool_use_id": "call_123",
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"content": "The capital of France is Paris.",
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"is_error": false
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}
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```
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##### Tool Definition
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```json
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{
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"name": "search",
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"description": "Search the web for information",
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"input_schema": {
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"type": "object",
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"properties": {
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"query": {
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"type": "string",
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"description": "Search query"
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}
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},
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"required": ["query"]
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}
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}
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```
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##### Tool Choice
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Control which tool the model uses.
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Auto (default):
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```json
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{
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"type": "auto"
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}
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```
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Model must use a tool:
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```json
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{
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"type": "any"
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}
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```
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Model cannot use tools:
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```json
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{
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"type": "none"
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}
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```
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Model must use specific tool:
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```json
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{
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"type": "tool",
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"name": "search"
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}
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```
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#### Response (Non-Streaming)
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```json
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{
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"id": "msg_1234567890abcdef",
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"type": "message",
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"role": "assistant",
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"content": [
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{
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"type": "text",
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"text": "2 + 2 = 4"
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}
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],
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"model": "claude-sonnet-4-20250514",
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"stop_reason": "end_turn",
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"usage": {
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"input_tokens": 10,
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"output_tokens": 5
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}
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}
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```
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##### Response Parameters
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| Parameter | Type | Description |
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|-----------|------|-------------|
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| `id` | string | Unique message identifier. |
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| `type` | string | Always `"message"`. |
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| `role` | string | Always `"assistant"`. |
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| `content` | array | Array of content blocks (text or tool_use). |
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| `model` | string | Model identifier that processed the request. |
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| `stop_reason` | string | Reason generation stopped (see Stop Reasons). |
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| `usage` | object | Token usage: `input_tokens`, `output_tokens`. |
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#### Response (Streaming)
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Stream responses as Server-Sent Events when `stream: true`:
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```
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event: message_start
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data: {"type":"message_start","message":{"id":"msg_...","type":"message","role":"assistant","content":[],"model":"claude-sonnet-4-20250514","stop_reason":null,"usage":{"input_tokens":0,"output_tokens":0}}}
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event: content_block_start
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data: {"type":"content_block_start","index":0,"content_block":{"type":"text","text":""}}
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event: content_block_delta
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data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":" How"}}
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event: content_block_delta
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data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":" are"}}
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event: content_block_stop
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data: {"type":"content_block_stop","index":0}
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event: message_delta
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data: {"type":"message_delta","delta":{"stop_reason":"end_turn"},"usage":{"output_tokens":5}}
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event: message_stop
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data: {"type":"message_stop"}
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```
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###### Stream Event Types
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**message_start**
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First event, contains message envelope.
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**content_block_start**
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New content block begins (text or tool_use).
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- `index`: Position in content array.
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- `content_block`: Block metadata.
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**content_block_delta**
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Incremental update to current block.
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- Text blocks: `delta.type: "text_delta"`, `delta.text: string`
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- Tool blocks: `delta.type: "input_json_delta"`, `delta.partial_json: string`
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**content_block_stop**
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Current block complete.
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**message_delta**
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Final message metadata.
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- `delta.stop_reason`: Reason generation stopped.
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- `usage.output_tokens`: Total output tokens.
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**message_stop**
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Stream ended.
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#### Stop Reasons
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| Stop Reason | Meaning |
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|------------|---------|
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| `end_turn` | Model completed generation naturally. |
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| `max_tokens` | Hit `max_tokens` limit. |
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| `stop_sequence` | Generation hit user-specified `stop_sequences`. |
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| `tool_use` | Model selected a tool to call. |
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#### Error Responses
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**401 Unauthorized** (invalid token)
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```json
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{
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"type": "error",
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"error": {
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"type": "authentication_error",
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"message": "Unauthorized"
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}
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}
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```
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|
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**400 Bad Request** (malformed request)
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```json
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{
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"type": "error",
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"error": {
|
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"type": "invalid_request_error",
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"message": "Bad Request"
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}
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}
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```
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|
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**500 Internal Server Error** (server misconfiguration or API error)
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```json
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{
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"type": "error",
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"error": {
|
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"type": "api_error",
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"message": "Internal server error"
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}
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}
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```
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## Health Check Endpoint
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|
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### GET /
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|
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Returns gateway status (no authentication required).
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|
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```bash
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curl https://gateway.example.com/
|
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```
|
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|
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Response:
|
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```json
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{
|
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"status": "ok",
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"name": "Claude Central Gateway"
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}
|
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```
|
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|
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## Configuration
|
||||
|
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Gateway behavior controlled via environment variables:
|
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|
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| Variable | Required | Description | Example |
|
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|----------|----------|-------------|---------|
|
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| `GATEWAY_TOKEN` | Yes | Shared token for authentication. | `sk-gatewaytoken123...` |
|
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| `OPENAI_API_KEY` | Yes | OpenAI API key for authentication. | `sk-proj-...` |
|
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| `MODEL_MAP` | No | Comma-separated model name mappings. | `claude-sonnet-4-20250514:gpt-4o,claude-opus:gpt-4-turbo` |
|
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|
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## Usage Examples
|
||||
|
||||
### Simple Text Request
|
||||
|
||||
```bash
|
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curl -X POST https://gateway.example.com/v1/messages \
|
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-H "x-api-key: my-secret-token" \
|
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-H "Content-Type: application/json" \
|
||||
-d '{
|
||||
"model": "claude-sonnet-4-20250514",
|
||||
"max_tokens": 256,
|
||||
"messages": [
|
||||
{"role": "user", "content": "Say hello!"}
|
||||
]
|
||||
}'
|
||||
```
|
||||
|
||||
### Streaming Response
|
||||
|
||||
```bash
|
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curl -X POST https://gateway.example.com/v1/messages \
|
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-H "x-api-key: my-secret-token" \
|
||||
-H "Content-Type: application/json" \
|
||||
-d '{
|
||||
"model": "claude-sonnet-4-20250514",
|
||||
"max_tokens": 256,
|
||||
"stream": true,
|
||||
"messages": [
|
||||
{"role": "user", "content": "Count to 5"}
|
||||
]
|
||||
}' \
|
||||
-N
|
||||
```
|
||||
|
||||
### Tool Use Workflow
|
||||
|
||||
**Request with tools:**
|
||||
```json
|
||||
{
|
||||
"model": "claude-sonnet-4-20250514",
|
||||
"max_tokens": 256,
|
||||
"tools": [
|
||||
{
|
||||
"name": "search",
|
||||
"description": "Search the web",
|
||||
"input_schema": {
|
||||
"type": "object",
|
||||
"properties": {
|
||||
"query": {"type": "string"}
|
||||
},
|
||||
"required": ["query"]
|
||||
}
|
||||
}
|
||||
],
|
||||
"messages": [
|
||||
{"role": "user", "content": "What is the capital of France?"}
|
||||
]
|
||||
}
|
||||
```
|
||||
|
||||
**Response with tool_use:**
|
||||
```json
|
||||
{
|
||||
"id": "msg_...",
|
||||
"type": "message",
|
||||
"role": "assistant",
|
||||
"content": [
|
||||
{
|
||||
"type": "tool_use",
|
||||
"id": "call_123",
|
||||
"name": "search",
|
||||
"input": {"query": "capital of France"}
|
||||
}
|
||||
],
|
||||
"stop_reason": "tool_use",
|
||||
"usage": {"input_tokens": 50, "output_tokens": 25}
|
||||
}
|
||||
```
|
||||
|
||||
**Follow-up request with tool result:**
|
||||
```json
|
||||
{
|
||||
"model": "claude-sonnet-4-20250514",
|
||||
"max_tokens": 256,
|
||||
"messages": [
|
||||
{"role": "user", "content": "What is the capital of France?"},
|
||||
{
|
||||
"role": "assistant",
|
||||
"content": [
|
||||
{
|
||||
"type": "tool_use",
|
||||
"id": "call_123",
|
||||
"name": "search",
|
||||
"input": {"query": "capital of France"}
|
||||
}
|
||||
]
|
||||
},
|
||||
{
|
||||
"role": "user",
|
||||
"content": [
|
||||
{
|
||||
"type": "tool_result",
|
||||
"tool_use_id": "call_123",
|
||||
"content": "Paris is the capital of France"
|
||||
}
|
||||
]
|
||||
}
|
||||
]
|
||||
}
|
||||
```
|
||||
|
||||
**Final response:**
|
||||
```json
|
||||
{
|
||||
"id": "msg_...",
|
||||
"type": "message",
|
||||
"role": "assistant",
|
||||
"content": [
|
||||
{
|
||||
"type": "text",
|
||||
"text": "Paris is the capital of France."
|
||||
}
|
||||
],
|
||||
"stop_reason": "end_turn",
|
||||
"usage": {"input_tokens": 100, "output_tokens": 15}
|
||||
}
|
||||
```
|
||||
|
||||
### Image Request
|
||||
|
||||
```json
|
||||
{
|
||||
"model": "claude-sonnet-4-20250514",
|
||||
"max_tokens": 256,
|
||||
"messages": [
|
||||
{
|
||||
"role": "user",
|
||||
"content": [
|
||||
{
|
||||
"type": "image",
|
||||
"source": {
|
||||
"type": "base64",
|
||||
"media_type": "image/jpeg",
|
||||
"data": "iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAYAAAAfFcSJAAAADUlEQVR42mNk+M9QDwADhgGAWjR9awAAAABJRU5ErkJggg=="
|
||||
}
|
||||
},
|
||||
{
|
||||
"type": "text",
|
||||
"text": "Describe this image"
|
||||
}
|
||||
]
|
||||
}
|
||||
]
|
||||
}
|
||||
```
|
||||
|
||||
### Using Claude SDK (Recommended)
|
||||
|
||||
Set environment variables:
|
||||
```bash
|
||||
export ANTHROPIC_BASE_URL=https://gateway.example.com
|
||||
export ANTHROPIC_AUTH_TOKEN=my-secret-token
|
||||
```
|
||||
|
||||
Then use normally:
|
||||
```javascript
|
||||
import Anthropic from "@anthropic-ai/sdk";
|
||||
|
||||
const client = new Anthropic({
|
||||
baseURL: process.env.ANTHROPIC_BASE_URL,
|
||||
apiKey: process.env.ANTHROPIC_AUTH_TOKEN,
|
||||
});
|
||||
|
||||
const message = await client.messages.create({
|
||||
model: "claude-sonnet-4-20250514",
|
||||
max_tokens: 256,
|
||||
messages: [
|
||||
{ role: "user", content: "Say hello!" }
|
||||
],
|
||||
});
|
||||
|
||||
console.log(message.content[0].text);
|
||||
```
|
||||
|
||||
## Limitations & Compatibility
|
||||
|
||||
### Fully Supported
|
||||
- Text messages
|
||||
- Image content (base64 and URLs)
|
||||
- Tool definitions and tool use/tool result round-trips
|
||||
- System messages (string or array)
|
||||
- Streaming responses with proper SSE format
|
||||
- Stop sequences
|
||||
- Temperature, top_p, max_tokens
|
||||
- Usage token counts
|
||||
|
||||
### Unsupported (Filtered Out)
|
||||
- Thinking blocks (Claude 3.7+)
|
||||
- Cache control directives
|
||||
- Multi-modal tool inputs (tools receive text input only)
|
||||
- Vision-specific model parameters
|
||||
|
||||
### Behavioral Differences from Anthropic API
|
||||
- Single shared token (no per-user auth)
|
||||
- No rate limiting (implement on your end if needed)
|
||||
- No request logging/audit trail
|
||||
- Error messages may differ (OpenAI error format converted)
|
||||
- Latency slightly higher due to proxying
|
||||
|
||||
## Rate Limiting Notes
|
||||
|
||||
Gateway itself has no rate limits. Limits come from:
|
||||
1. **OpenAI API quota**: Based on your API tier
|
||||
2. **Network throughput**: Hono/platform limits
|
||||
3. **Token count**: OpenAI pricing
|
||||
|
||||
Recommendations:
|
||||
- Implement client-side rate limiting
|
||||
- Monitor token usage via `usage` field in responses
|
||||
- Set aggressive `max_tokens` limits if cost is concern
|
||||
- Use smaller models in `MODEL_MAP` for cost reduction
|
||||
204
docs/code-standards.md
Normal file
204
docs/code-standards.md
Normal file
@@ -0,0 +1,204 @@
|
||||
# Code Standards & Architecture
|
||||
|
||||
## Codebase Structure
|
||||
|
||||
```
|
||||
src/
|
||||
├── index.js # Hono app entry point, middleware setup
|
||||
├── auth-middleware.js # Authentication logic, timing-safe comparison
|
||||
├── openai-client.js # Cached OpenAI client, model mapping
|
||||
├── transform-request.js # Anthropic → OpenAI request transformation
|
||||
├── transform-response.js # OpenAI → Anthropic response streaming
|
||||
└── routes/
|
||||
└── messages.js # POST /v1/messages handler
|
||||
```
|
||||
|
||||
## Module Responsibilities
|
||||
|
||||
### index.js
|
||||
- Creates Hono application instance
|
||||
- Registers middleware (logging, CORS)
|
||||
- Mounts auth middleware for `/v1/*` routes
|
||||
- Registers message routes
|
||||
- Handles 404 and error cases
|
||||
|
||||
### auth-middleware.js
|
||||
- **timingSafeEqual()**: Constant-time string comparison using byte-level XOR
|
||||
- Works cross-platform: Node.js 18+, Cloudflare Workers, Deno, Bun
|
||||
- No dependency on native crypto module (cross-platform safe)
|
||||
- Takes two strings, returns boolean
|
||||
|
||||
- **authMiddleware()**: Hono middleware factory
|
||||
- Extracts token from `x-api-key` header or `Authorization: Bearer`
|
||||
- Compares against `GATEWAY_TOKEN` env var using timing-safe comparison
|
||||
- Returns 401 if missing or invalid
|
||||
- Returns 500 if GATEWAY_TOKEN not configured
|
||||
|
||||
### openai-client.js
|
||||
- Creates and caches OpenAI client instance
|
||||
- Handles model name mapping via `MODEL_MAP` env var
|
||||
- Format: `claude-sonnet-4:gpt-4o,claude-3-opus:gpt-4-turbo`
|
||||
- Falls back to model name from request if no mapping found
|
||||
|
||||
### transform-request.js
|
||||
Converts Anthropic Messages API request format → OpenAI Chat Completions format.
|
||||
|
||||
**Main export: buildOpenAIRequest(anthropicRequest, model)**
|
||||
- Input: Anthropic request object + mapped model name
|
||||
- Output: OpenAI request payload (plain object, not yet stringified)
|
||||
|
||||
**Key transformations:**
|
||||
- `max_tokens`, `temperature`, `top_p`: Pass through unchanged
|
||||
- `stream`: If true, sets `stream: true` and `stream_options: { include_usage: true }`
|
||||
- `stop_sequences`: Maps to OpenAI `stop` array parameter
|
||||
- `tools`: Converts Anthropic tool definitions to OpenAI `tools` array with `type: 'function'`
|
||||
- `tool_choice`: Maps Anthropic tool_choice enum to OpenAI tool_choice format
|
||||
- `system`: Handles both string and array of text blocks
|
||||
- `messages`: Transforms message array with special handling for content types
|
||||
|
||||
**Message transformation details:**
|
||||
- **User messages**: Handles text, images, and tool_result blocks
|
||||
- Images: base64 and URL sources supported, converted to `image_url` format
|
||||
- tool_result blocks: Split into separate tool messages (OpenAI format)
|
||||
- Text content: Preserved in order
|
||||
|
||||
- **Assistant messages**: Handles text and tool_use blocks
|
||||
- tool_use blocks: Converted to OpenAI tool_calls format
|
||||
- Text content: Merged into `content` field
|
||||
- Result: Single message with optional `tool_calls` array
|
||||
|
||||
**Implementation notes:**
|
||||
- System message: Joins array blocks with `\n\n` separator
|
||||
- tool_result content: Supports string or array of text blocks; prepends `[ERROR]` if `is_error: true`
|
||||
- Filters out unsupported blocks (thinking, cache_control, etc.)
|
||||
|
||||
### transform-response.js
|
||||
Converts OpenAI Chat Completions responses → Anthropic Messages API format.
|
||||
|
||||
**Exports:**
|
||||
- **transformResponse(openaiResponse, anthropicRequest)**: Non-streaming response conversion
|
||||
- Input: OpenAI response object, original Anthropic request
|
||||
- Output: Anthropic message response object with `id`, `type`, `role`, `content`, `stop_reason`, `usage`
|
||||
|
||||
- **streamAnthropicResponse(c, openaiStream, anthropicRequest)**: Streaming response handler
|
||||
- Input: Hono context, async iterable of OpenAI chunks, original Anthropic request
|
||||
- Outputs: Server-sent events in Anthropic SSE format
|
||||
- Emits: `message_start` → content blocks → `message_delta` → `message_stop`
|
||||
|
||||
**Response building:**
|
||||
- **Content blocks**: Anthropic format uses array of content objects with `type` field
|
||||
- `text`: Standard text content
|
||||
- `tool_use`: Tool calls with `id`, `name`, `input` (parsed JSON object)
|
||||
|
||||
**Stop reason mapping:**
|
||||
- `finish_reason: 'stop'` → `'end_turn'` (or `'stop_sequence'` if stop_sequences were used)
|
||||
- `finish_reason: 'length'` → `'max_tokens'`
|
||||
- `finish_reason: 'tool_calls'` → `'tool_use'`
|
||||
- `finish_reason: 'content_filter'` → `'end_turn'`
|
||||
|
||||
**Streaming behavior:**
|
||||
1. Sends `message_start` event with empty content array
|
||||
2. For text delta: Sends `content_block_start`, then `content_block_delta` events
|
||||
3. For tool_calls delta: Sends `content_block_start`, then `content_block_delta` with `input_json_delta`
|
||||
4. Tracks text and tool blocks separately to avoid mixing in output
|
||||
5. Closes blocks before transitioning between text and tool content
|
||||
6. Captures usage from final chunk (requires `stream_options.include_usage`)
|
||||
7. Sends `message_delta` with stop_reason and output tokens
|
||||
8. Sends `message_stop` to mark stream end
|
||||
|
||||
**Implementation notes:**
|
||||
- Tool call buffering: Accumulates arguments across multiple chunks before outputting deltas
|
||||
- Block indexing: Separate indices for text blocks (0-n) and tool blocks (offset by text count)
|
||||
- Tool result content extraction: Handles string or text-block-array formats
|
||||
|
||||
### routes/messages.js
|
||||
HTTP handler for `POST /v1/messages`.
|
||||
|
||||
**Request flow:**
|
||||
1. Extract `model` from body
|
||||
2. Map model name via `openai-client`
|
||||
3. Build OpenAI request via `transform-request`
|
||||
4. If streaming: Use `streamAnthropicResponse()`, set `Content-Type: text/event-stream`
|
||||
5. If non-streaming: Transform response via `transformResponse()`
|
||||
|
||||
**Error handling:**
|
||||
- Catches OpenAI API errors, returns formatted Anthropic error response
|
||||
- Catches transform errors, returns 400 Bad Request
|
||||
|
||||
## Naming Conventions
|
||||
|
||||
### Functions
|
||||
- **camelCase**: `buildOpenAIRequest`, `timingSafeEqual`, `transformMessages`
|
||||
- **Descriptive verbs**: build, transform, map, extract, handle
|
||||
- **Prefixes for private functions**: None (all functions are internal to modules)
|
||||
|
||||
### Variables
|
||||
- **camelCase**: `messageId`, `toolCallBuffers`, `inputTokens`
|
||||
- **Constants**: UPPERCASE with underscores for env vars only (`GATEWAY_TOKEN`, `OPENAI_API_KEY`, `MODEL_MAP`)
|
||||
- **Booleans**: Prefix with `is`, `had`, `should`: `isError`, `hadStopSequences`, `textBlockStarted`
|
||||
|
||||
### Files
|
||||
- **kebab-case with descriptive names**: `auth-middleware.js`, `transform-request.js`, `transform-response.js`
|
||||
- **Purpose clear from name**: No abbreviations
|
||||
|
||||
## Error Handling
|
||||
|
||||
### Authentication Failures
|
||||
- 401 Unauthorized: Invalid or missing token
|
||||
- 500 Internal Server Error: GATEWAY_TOKEN not configured
|
||||
|
||||
### API Errors
|
||||
- Forward OpenAI errors to client in Anthropic error format
|
||||
- Log error details for debugging
|
||||
- Return 500 for unexpected errors
|
||||
|
||||
### Transform Errors
|
||||
- Catch JSON parsing errors (tool arguments)
|
||||
- Provide fallback values (empty objects, empty strings)
|
||||
- Log parsing failures with context
|
||||
|
||||
## Security Practices
|
||||
|
||||
1. **Timing-Safe Authentication**: `timingSafeEqual()` prevents timing attacks
|
||||
2. **Header Validation**: Checks both `x-api-key` and `Authorization` headers
|
||||
3. **Token Comparison**: Constant-time comparison regardless of token length
|
||||
4. **No Logging of Sensitive Data**: Auth tokens not logged
|
||||
|
||||
## Testing Strategy
|
||||
|
||||
### Unit Tests (Recommended)
|
||||
- Test transformations with sample Anthropic/OpenAI payloads
|
||||
- Test edge cases: empty messages, tool calls without text, images only
|
||||
- Test error scenarios: malformed JSON, missing required fields
|
||||
- Test utility functions: `timingSafeEqual`, `mapStopReason`
|
||||
|
||||
### Integration Tests (Recommended)
|
||||
- Mock OpenAI API responses
|
||||
- Test full request/response cycle with streaming and non-streaming
|
||||
- Test model mapping
|
||||
|
||||
### Manual Testing
|
||||
- Deploy to Vercel/Cloudflare and test with Claude Code
|
||||
- Verify streaming works correctly
|
||||
- Test tool use workflows (request → tool_use → tool_result → response)
|
||||
|
||||
## Performance Considerations
|
||||
|
||||
1. **Client Caching**: OpenAI client created once and reused
|
||||
2. **Streaming Efficiency**: Response streamed directly from OpenAI to client (no buffering)
|
||||
3. **String Operations**: Minimal string concatenation, uses joins for system message
|
||||
4. **JSON Parsing**: Lazy parsed only when needed (tool arguments)
|
||||
|
||||
## Compatibility Notes
|
||||
|
||||
- **Runtime**: Works on Node.js 18+, Cloudflare Workers, Deno, Bun (via Hono)
|
||||
- **APIs**: Uses standard JavaScript TextEncoder (not Node.js crypto for auth)
|
||||
- **Framework**: Hono provides multi-platform support, no custom server implementation
|
||||
|
||||
## Code Quality Standards
|
||||
|
||||
1. **No External Dependencies**: Only Hono for framework (included in package.json)
|
||||
2. **Readable Over Clever**: Prefer explicit logic over compact code
|
||||
3. **Comments for Non-Obvious Logic**: Transformation rules, SSE event sequencing
|
||||
4. **Self-Documenting Names**: Function names describe purpose, no abbreviations
|
||||
5. **Modular Structure**: Single responsibility per file
|
||||
217
docs/index.md
Normal file
217
docs/index.md
Normal file
@@ -0,0 +1,217 @@
|
||||
# Documentation Index
|
||||
|
||||
Welcome to Claude Central Gateway documentation. Start here to find what you need.
|
||||
|
||||
## Getting Started
|
||||
|
||||
**New to the project?** Start with these:
|
||||
|
||||
1. **[Quick Start](./quick-start.md)** (5 min read)
|
||||
- Deploy the gateway in 1 minute
|
||||
- Configure Claude Code
|
||||
- Verify it works
|
||||
- Troubleshooting tips
|
||||
|
||||
2. **[Project Overview & PDR](./project-overview-pdr.md)** (10 min read)
|
||||
- What this project does and why
|
||||
- Feature requirements and roadmap
|
||||
- When to use it (and when not to)
|
||||
|
||||
## API & Integration
|
||||
|
||||
**Building with the gateway?** Use these:
|
||||
|
||||
3. **[API Reference](./api-reference.md)** (20 min read)
|
||||
- Complete endpoint documentation
|
||||
- Request/response formats
|
||||
- Authentication details
|
||||
- Code examples (curl, JavaScript)
|
||||
- Error handling
|
||||
|
||||
## Technical Deep Dives
|
||||
|
||||
**Understanding the architecture?** Read these:
|
||||
|
||||
4. **[System Architecture](./system-architecture.md)** (15 min read)
|
||||
- Request/response flow with diagrams
|
||||
- Tool use round-trip workflow
|
||||
- Data structures and schemas
|
||||
- Deployment topology
|
||||
- Stop reason mapping
|
||||
- Scalability characteristics
|
||||
|
||||
5. **[Code Standards](./code-standards.md)** (15 min read)
|
||||
- Codebase structure and module responsibilities
|
||||
- Naming conventions
|
||||
- Authentication implementation
|
||||
- Error handling patterns
|
||||
- Security practices
|
||||
- Performance considerations
|
||||
|
||||
## Common Tasks
|
||||
|
||||
### Deploy the Gateway
|
||||
→ [Quick Start](./quick-start.md#deploy-to-vercel)
|
||||
|
||||
### Configure Claude Code
|
||||
→ [Quick Start](./quick-start.md#configure-claude-code)
|
||||
|
||||
### Make API Requests
|
||||
→ [API Reference](./api-reference.md#usage-examples)
|
||||
|
||||
### Understand Tool Use
|
||||
→ [System Architecture](./system-architecture.md#tool-use-round-trip-special-case)
|
||||
|
||||
### Map Models to Cheaper Providers
|
||||
→ [API Reference](./api-reference.md#configuration) or [Quick Start](./quick-start.md#cost-optimization-tips)
|
||||
|
||||
### Debug Issues
|
||||
→ [Quick Start](./quick-start.md#troubleshooting)
|
||||
|
||||
### Understand Data Flow
|
||||
→ [System Architecture](./system-architecture.md#request-flow-detailed)
|
||||
|
||||
### Review Implementation Details
|
||||
→ [Code Standards](./code-standards.md)
|
||||
|
||||
## Documentation Map
|
||||
|
||||
```
|
||||
docs/
|
||||
├── index.md ← You are here
|
||||
├── quick-start.md ← Start here (5 min)
|
||||
├── project-overview-pdr.md ← What & why (10 min)
|
||||
├── api-reference.md ← API details (20 min)
|
||||
├── system-architecture.md ← How it works (15 min)
|
||||
└── code-standards.md ← Code details (15 min)
|
||||
```
|
||||
|
||||
## Search by Topic
|
||||
|
||||
### Authentication & Security
|
||||
- See [Code Standards: Security Practices](./code-standards.md#security-practices)
|
||||
- See [API Reference: Authentication](./api-reference.md#authentication)
|
||||
|
||||
### Streaming Responses
|
||||
- See [System Architecture: Response Transformation](./system-architecture.md#response-transformation)
|
||||
- See [API Reference: Response (Streaming)](./api-reference.md#response-streaming)
|
||||
|
||||
### Tool Use / Function Calling
|
||||
- See [System Architecture: Tool Use Round-Trip](./system-architecture.md#tool-use-round-trip-special-case)
|
||||
- See [API Reference: Tool Definition](./api-reference.md#tool-definition)
|
||||
- See [Code Standards: transform-response.js](./code-standards.md#transform-responsejs)
|
||||
|
||||
### Image Support
|
||||
- See [API Reference: Image Content Type](./api-reference.md#image-user-messages-only)
|
||||
- See [System Architecture: Content Block Handling](./system-architecture.md#content-block-handling)
|
||||
|
||||
### Error Handling
|
||||
- See [API Reference: Error Responses](./api-reference.md#error-responses)
|
||||
- See [Code Standards: Error Handling](./code-standards.md#error-handling)
|
||||
- See [Quick Start: Troubleshooting](./quick-start.md#troubleshooting)
|
||||
|
||||
### Model Mapping & Configuration
|
||||
- See [API Reference: Configuration](./api-reference.md#configuration)
|
||||
- See [Quick Start: Model Mapping Examples](./quick-start.md#model-mapping-examples)
|
||||
|
||||
### Deployment Options
|
||||
- See [Quick Start: Deploy to Vercel](./quick-start.md#deploy-to-vercel)
|
||||
- See [Quick Start: Cloudflare Workers](./quick-start.md#cloudflare-workers)
|
||||
- See [System Architecture: Deployment Topology](./system-architecture.md#deployment-topology)
|
||||
|
||||
### Stop Reasons & Generation Control
|
||||
- See [API Reference: Stop Reasons](./api-reference.md#stop-reasons)
|
||||
- See [System Architecture: Stop Reason Mapping](./system-architecture.md#stop-reason-mapping)
|
||||
- See [Code Standards: transform-response.js](./code-standards.md#transform-responsejs)
|
||||
|
||||
### Performance & Scalability
|
||||
- See [System Architecture: Scalability Characteristics](./system-architecture.md#scalability-characteristics)
|
||||
- See [Code Standards: Performance Considerations](./code-standards.md#performance-considerations)
|
||||
|
||||
### Future Roadmap & Limitations
|
||||
- See [Project Overview: Feature Roadmap](./project-overview-pdr.md#feature-roadmap)
|
||||
- See [Project Overview: Known Limitations](./project-overview-pdr.md#known-limitations)
|
||||
- See [API Reference: Limitations & Compatibility](./api-reference.md#limitations--compatibility)
|
||||
|
||||
## Document Statistics
|
||||
|
||||
| Document | Length | Focus | Audience |
|
||||
|----------|--------|-------|----------|
|
||||
| Quick Start | 5 min | Getting started | Everyone |
|
||||
| Project Overview | 10 min | Vision & requirements | Product, decision makers |
|
||||
| API Reference | 20 min | Endpoints & examples | Developers integrating |
|
||||
| System Architecture | 15 min | Design & flow | Developers, maintainers |
|
||||
| Code Standards | 15 min | Implementation details | Developers, contributors |
|
||||
|
||||
## Learning Paths
|
||||
|
||||
### "I Just Want to Use It"
|
||||
1. [Quick Start](./quick-start.md) - Deploy and configure
|
||||
2. [API Reference](./api-reference.md#usage-examples) - Code examples
|
||||
3. [Quick Start Troubleshooting](./quick-start.md#troubleshooting) - If issues arise
|
||||
|
||||
### "I Want to Understand How It Works"
|
||||
1. [Project Overview](./project-overview-pdr.md) - Context
|
||||
2. [System Architecture](./system-architecture.md) - Design
|
||||
3. [Code Standards](./code-standards.md) - Implementation
|
||||
|
||||
### "I'm Contributing to the Project"
|
||||
1. [Project Overview](./project-overview-pdr.md) - Requirements
|
||||
2. [Code Standards](./code-standards.md) - Structure & conventions
|
||||
3. [System Architecture](./system-architecture.md) - Data flow
|
||||
4. Read the actual code in `src/`
|
||||
|
||||
### "I'm Debugging an Issue"
|
||||
1. [Quick Start Troubleshooting](./quick-start.md#troubleshooting) - Common fixes
|
||||
2. [API Reference](./api-reference.md#error-responses) - Error codes
|
||||
3. [System Architecture](./system-architecture.md#error-handling-architecture) - Error flow
|
||||
4. [Code Standards](./code-standards.md#error-handling) - Error patterns
|
||||
|
||||
## Quick Links
|
||||
|
||||
- **GitHub Repository**: https://github.com/tiennm99/claude-central-gateway
|
||||
- **Deploy to Vercel**: https://vercel.com/new/clone?repository-url=https://github.com/tiennm99/claude-central-gateway
|
||||
- **OpenAI API Documentation**: https://platform.openai.com/docs/api-reference
|
||||
- **Anthropic API Documentation**: https://docs.anthropic.com/en/docs/about/api-overview
|
||||
- **Claude Code Router** (local alternative): https://github.com/musistudio/claude-code-router
|
||||
- **LiteLLM** (enterprise alternative): https://github.com/BerriAI/litellm
|
||||
|
||||
## FAQ
|
||||
|
||||
**Q: Where do I start?**
|
||||
A: [Quick Start](./quick-start.md) if you want to deploy immediately, or [Project Overview](./project-overview-pdr.md) if you want context first.
|
||||
|
||||
**Q: How do I make API calls?**
|
||||
A: [API Reference](./api-reference.md#usage-examples)
|
||||
|
||||
**Q: Why did my request fail?**
|
||||
A: [Quick Start Troubleshooting](./quick-start.md#troubleshooting) or [API Reference: Error Responses](./api-reference.md#error-responses)
|
||||
|
||||
**Q: How does tool use work?**
|
||||
A: [System Architecture: Tool Use Round-Trip](./system-architecture.md#tool-use-round-trip-special-case)
|
||||
|
||||
**Q: What's supported?**
|
||||
A: [README Features Section](../README.md#features--compatibility) or [API Reference](./api-reference.md#fully-supported)
|
||||
|
||||
**Q: How do I optimize costs?**
|
||||
A: [Quick Start Cost Optimization Tips](./quick-start.md#cost-optimization-tips)
|
||||
|
||||
**Q: Can I self-host?**
|
||||
A: Yes, see [Quick Start Alternative Deployments](./quick-start.md#alternative-deployments)
|
||||
|
||||
## Contributing
|
||||
|
||||
Want to contribute? Start with [Code Standards](./code-standards.md) to understand the architecture, then read the source code in `src/`.
|
||||
|
||||
## Version History
|
||||
|
||||
- **v1.0** (2025-04-05): Hono refactor with full tool use support, streaming, authentication
|
||||
- **v0.x**: Initial OpenAI proxy implementation
|
||||
|
||||
## Last Updated
|
||||
|
||||
April 5, 2025
|
||||
|
||||
---
|
||||
|
||||
**Ready to get started?** → [Quick Start Guide](./quick-start.md)
|
||||
151
docs/project-overview-pdr.md
Normal file
151
docs/project-overview-pdr.md
Normal file
@@ -0,0 +1,151 @@
|
||||
# Claude Central Gateway - Project Overview & PDR
|
||||
|
||||
## Project Overview
|
||||
|
||||
Claude Central Gateway is a lightweight proxy service that routes Claude API requests to OpenAI's API, enabling cost optimization by using cheaper third-party providers. Built for personal and small-scale use, it emphasizes simplicity, minimal resource consumption, and multi-platform deployment.
|
||||
|
||||
**Repository:** https://github.com/tiennm99/claude-central-gateway
|
||||
|
||||
## Core Value Proposition
|
||||
|
||||
- **Cost Efficiency**: Route Claude API calls through cheaper OpenAI providers
|
||||
- **Deployment Flexibility**: Run on Vercel, Cloudflare Workers, Node.js, or any Hono-compatible platform
|
||||
- **Zero Complexity**: Minimal code, easy to understand, easy to fork and customize
|
||||
- **Full Feature Support**: Streaming, tool use/tool result round-trips, images, system arrays
|
||||
|
||||
## Target Users
|
||||
|
||||
- Individual developers using Claude Code
|
||||
- Small teams with tight LLM budgets
|
||||
- Users seeking provider flexibility without enterprise complexity
|
||||
|
||||
## Non-Goals
|
||||
|
||||
- **Enterprise features**: GUI management, advanced routing, rate limiting, load balancing
|
||||
- **GUI-based administration**: Focus remains on environment variable configuration
|
||||
- **Multi-tenant support**: Designed for single-user or small-team deployment
|
||||
- **Complex feature request routing**: Simple model mapping only
|
||||
|
||||
## Product Development Requirements (PDR)
|
||||
|
||||
### Functional Requirements
|
||||
|
||||
| ID | Requirement | Status | Priority |
|
||||
|----|-------------|--------|----------|
|
||||
| FR-1 | Accept Anthropic Messages API requests at `/v1/messages` | Complete | P0 |
|
||||
| FR-2 | Transform Anthropic requests to OpenAI Chat Completions format | Complete | P0 |
|
||||
| FR-3 | Forward requests to OpenAI API and stream responses back | Complete | P0 |
|
||||
| FR-4 | Support tool_use and tool_result message handling | Complete | P0 |
|
||||
| FR-5 | Support image content (base64 and URLs) | Complete | P0 |
|
||||
| FR-6 | Support system messages as string or array of text blocks | Complete | P0 |
|
||||
| FR-7 | Authenticate requests with x-api-key header | Complete | P0 |
|
||||
| FR-8 | Map stop_reason correctly (end_turn, max_tokens, tool_use, stop_sequence) | Complete | P0 |
|
||||
| FR-9 | Forward stop_sequences and map to OpenAI stop parameter | Complete | P0 |
|
||||
| FR-10 | Return usage token counts in responses | Complete | P0 |
|
||||
|
||||
### Non-Functional Requirements
|
||||
|
||||
| ID | Requirement | Status | Priority |
|
||||
|----|-------------|--------|----------|
|
||||
| NFR-1 | Support streaming with proper SSE Content-Type headers | Complete | P0 |
|
||||
| NFR-2 | Timing-safe authentication comparison (prevent timing attacks) | Complete | P0 |
|
||||
| NFR-3 | Cross-platform runtime support (Node.js, Cloudflare Workers, Deno, Bun) | Complete | P0 |
|
||||
| NFR-4 | Minimal bundle size and resource consumption | Complete | P0 |
|
||||
| NFR-5 | CORS support for browser-based clients | Complete | P1 |
|
||||
| NFR-6 | Request logging for debugging | Complete | P1 |
|
||||
|
||||
### Architecture Requirements
|
||||
|
||||
- Modular structure with separated concerns (auth, transformation, routing)
|
||||
- Stateless design for horizontal scaling
|
||||
- No external dependencies beyond Hono and built-in APIs
|
||||
- Configuration via environment variables only (no config files)
|
||||
|
||||
### Acceptance Criteria
|
||||
|
||||
- All Claude Code requests successfully proxied through OpenAI without client-side changes
|
||||
- Tool use workflows complete successfully (request → tool_use → tool_result)
|
||||
- Streaming responses match Anthropic SSE format exactly
|
||||
- Authentication prevents unauthorized access
|
||||
- Service deploys successfully on Vercel and Cloudflare Workers
|
||||
- Zero security vulnerabilities in authentication
|
||||
|
||||
## Technical Constraints
|
||||
|
||||
- **Language**: JavaScript/Node.js
|
||||
- **Framework**: Hono (lightweight, multi-platform)
|
||||
- **API Standards**: Anthropic Messages API ↔ OpenAI Chat Completions API
|
||||
- **Deployment**: Serverless platforms (Vercel, Cloudflare Workers, etc.)
|
||||
- **Auth Model**: Single shared token (GATEWAY_TOKEN), suitable for personal use only
|
||||
|
||||
## Feature Roadmap
|
||||
|
||||
### Phase 1: Core Gateway (Complete)
|
||||
- Basic message proxying
|
||||
- Authentication
|
||||
- Streaming support
|
||||
- Model mapping
|
||||
|
||||
### Phase 2: Tool Support (Complete)
|
||||
- Tool definition forwarding
|
||||
- Tool use/tool result round-trips
|
||||
- Tool choice mapping
|
||||
|
||||
### Phase 3: Content Types (Complete)
|
||||
- Image support (base64, URLs)
|
||||
- System message arrays
|
||||
- Stop sequences
|
||||
|
||||
### Phase 4: Observability (Future)
|
||||
- Detailed request logging
|
||||
- Error tracking
|
||||
- Usage analytics
|
||||
|
||||
### Phase 5: Advanced Features (Deferred)
|
||||
- Model fallback/routing
|
||||
- Rate limiting per token
|
||||
- Request queuing
|
||||
- Webhook logging
|
||||
|
||||
## Success Metrics
|
||||
|
||||
1. **Adoption**: GitHub stars, forks, real-world usage reports
|
||||
2. **Reliability**: 99.9% uptime on test deployments
|
||||
3. **Performance**: Response latency within 5% of direct OpenAI API
|
||||
4. **Correctness**: All Anthropic API features work identically through proxy
|
||||
5. **Code Quality**: Minimal security vulnerabilities, high readability
|
||||
|
||||
## Known Limitations
|
||||
|
||||
- **Single token**: No per-user authentication; all requests share one token
|
||||
- **No rate limiting**: Susceptible to abuse if token is exposed
|
||||
- **Basic error handling**: Limited error recovery strategies
|
||||
- **Model mapping only**: Cannot route to different providers based on request properties
|
||||
- **No request inspection**: Cannot log or analyze request content
|
||||
|
||||
## Alternatives & Positioning
|
||||
|
||||
### vs. Local Proxies (Claude Code Router)
|
||||
- **Advantage**: Multi-machine support, instant deployment
|
||||
- **Disadvantage**: Requires server infrastructure
|
||||
|
||||
### vs. Enterprise Solutions (LiteLLM)
|
||||
- **Advantage**: Minimal resources, easier to understand and fork
|
||||
- **Disadvantage**: No advanced routing, rate limiting, or team features
|
||||
|
||||
### vs. Direct API (No Proxy)
|
||||
- **Advantage**: Cost savings through provider flexibility
|
||||
- **Disadvantage**: Adds latency, complexity
|
||||
|
||||
## Development Standards
|
||||
|
||||
- Code follows modular, single-responsibility design
|
||||
- All transformations use standard JavaScript APIs (no polyfills)
|
||||
- Error handling covers common failure modes
|
||||
- Security practices: timing-safe comparisons, header validation
|
||||
|
||||
## References
|
||||
|
||||
- **README**: Basic setup and deployment instructions
|
||||
- **Code Standards**: Architecture, naming conventions, testing practices
|
||||
- **System Architecture**: Detailed component interactions and data flow
|
||||
195
docs/quick-start.md
Normal file
195
docs/quick-start.md
Normal file
@@ -0,0 +1,195 @@
|
||||
# Quick Start Guide
|
||||
|
||||
## 1-Minute Setup
|
||||
|
||||
### Prerequisites
|
||||
- OpenAI API key (get from [platform.openai.com](https://platform.openai.com))
|
||||
- Vercel account (optional, for deployment)
|
||||
- Claude Code IDE
|
||||
|
||||
### Deploy to Vercel
|
||||
|
||||
Click the button in the [README](../README.md) or:
|
||||
|
||||
```bash
|
||||
git clone https://github.com/tiennm99/claude-central-gateway
|
||||
cd claude-central-gateway
|
||||
npm install
|
||||
vercel
|
||||
```
|
||||
|
||||
### Configure Environment Variables
|
||||
|
||||
**In Vercel Dashboard:**
|
||||
1. Select your project → Settings → Environment Variables
|
||||
2. Add:
|
||||
- `GATEWAY_TOKEN`: `my-secret-token-abc123def456` (generate a random string)
|
||||
- `OPENAI_API_KEY`: Your OpenAI API key (starts with `sk-proj-`)
|
||||
- `MODEL_MAP`: (Optional) `claude-sonnet-4-20250514:gpt-4o`
|
||||
|
||||
### Configure Claude Code
|
||||
|
||||
Set two environment variables:
|
||||
|
||||
```bash
|
||||
export ANTHROPIC_BASE_URL=https://your-project.vercel.app
|
||||
export ANTHROPIC_AUTH_TOKEN=my-secret-token-abc123def456
|
||||
```
|
||||
|
||||
Then run Claude Code:
|
||||
|
||||
```bash
|
||||
claude
|
||||
```
|
||||
|
||||
That's it! Claude Code now routes through your gateway.
|
||||
|
||||
## Verify It Works
|
||||
|
||||
### Test with curl
|
||||
|
||||
```bash
|
||||
curl -X POST https://your-project.vercel.app/v1/messages \
|
||||
-H "x-api-key: my-secret-token-abc123def456" \
|
||||
-H "Content-Type: application/json" \
|
||||
-d '{
|
||||
"model": "claude-sonnet-4-20250514",
|
||||
"max_tokens": 100,
|
||||
"messages": [
|
||||
{"role": "user", "content": "Say hello!"}
|
||||
]
|
||||
}'
|
||||
```
|
||||
|
||||
Expected response:
|
||||
```json
|
||||
{
|
||||
"id": "msg_...",
|
||||
"type": "message",
|
||||
"role": "assistant",
|
||||
"content": [
|
||||
{"type": "text", "text": "Hello! How can I help you?"}
|
||||
],
|
||||
"stop_reason": "end_turn",
|
||||
"usage": {"input_tokens": 10, "output_tokens": 7}
|
||||
}
|
||||
```
|
||||
|
||||
### Health Check
|
||||
|
||||
```bash
|
||||
curl https://your-project.vercel.app/
|
||||
```
|
||||
|
||||
Response:
|
||||
```json
|
||||
{
|
||||
"status": "ok",
|
||||
"name": "Claude Central Gateway"
|
||||
}
|
||||
```
|
||||
|
||||
## Alternative Deployments
|
||||
|
||||
### Cloudflare Workers
|
||||
|
||||
```bash
|
||||
npm install
|
||||
npm run deploy:cf
|
||||
```
|
||||
|
||||
Then set environment variables in `wrangler.toml` or Cloudflare dashboard.
|
||||
|
||||
### Local Development
|
||||
|
||||
```bash
|
||||
npm install
|
||||
npm run dev
|
||||
```
|
||||
|
||||
Gateway runs on `http://localhost:5173`.
|
||||
|
||||
## Model Mapping Examples
|
||||
|
||||
**Mapping to cheaper models:**
|
||||
```
|
||||
MODEL_MAP=claude-sonnet-4-20250514:gpt-4-mini,claude-opus:gpt-4-turbo
|
||||
```
|
||||
|
||||
**Single mapping:**
|
||||
```
|
||||
MODEL_MAP=claude-sonnet-4-20250514:gpt-4o
|
||||
```
|
||||
|
||||
**No mapping (pass through):**
|
||||
Leave `MODEL_MAP` empty; model names are used as-is (may fail if OpenAI doesn't recognize them).
|
||||
|
||||
## Troubleshooting
|
||||
|
||||
### "Unauthorized" Error (401)
|
||||
- Check `GATEWAY_TOKEN` is set and matches your client's `ANTHROPIC_AUTH_TOKEN`
|
||||
- Verify header is `x-api-key` (case-sensitive)
|
||||
|
||||
### "Not found" Error (404)
|
||||
- Only `/v1/messages` endpoint is implemented
|
||||
- Health check at `/` should return 200
|
||||
|
||||
### OpenAI API Errors (5xx)
|
||||
- Check `OPENAI_API_KEY` is valid and has available credits
|
||||
- Check `MODEL_MAP` points to valid OpenAI models
|
||||
- Monitor OpenAI dashboard for rate limits
|
||||
|
||||
### Streaming not working
|
||||
- Ensure client sends `"stream": true` in request
|
||||
- Check response has `Content-Type: text/event-stream` header
|
||||
- Verify client supports Server-Sent Events
|
||||
|
||||
## Next Steps
|
||||
|
||||
1. **Read the [API Reference](./api-reference.md)** for complete endpoint documentation
|
||||
2. **Review [System Architecture](./system-architecture.md)** to understand how it works
|
||||
3. **Set up monitoring** for OpenAI API usage and costs
|
||||
4. **Rotate GATEWAY_TOKEN** periodically for security
|
||||
|
||||
## Cost Optimization Tips
|
||||
|
||||
1. Use `MODEL_MAP` to route to cheaper models:
|
||||
```
|
||||
MODEL_MAP=claude-sonnet-4-20250514:gpt-4-mini
|
||||
```
|
||||
|
||||
2. Set conservative `max_tokens` limits in Claude Code settings
|
||||
|
||||
3. Monitor OpenAI API dashboard weekly for unexpected usage spikes
|
||||
|
||||
4. Consider usage alerts in OpenAI dashboard
|
||||
|
||||
## FAQ
|
||||
|
||||
**Q: Is my token exposed if I use the hosted version?**
|
||||
A: The gateway is stateless; tokens are compared server-side. Use a strong random token (32+ characters) and rotate periodically.
|
||||
|
||||
**Q: Can multiple machines use the same gateway?**
|
||||
A: Yes, they all share the same `GATEWAY_TOKEN` and cost. Not suitable for multi-user scenarios.
|
||||
|
||||
**Q: What if OpenAI API goes down?**
|
||||
A: Gateway will return a 500 error. No built-in fallback or retry logic.
|
||||
|
||||
**Q: Does the gateway log my requests?**
|
||||
A: Hono middleware logs request method/path/status. Request bodies are not logged by default.
|
||||
|
||||
**Q: Can I use this with other LLM providers?**
|
||||
A: Only if they support OpenAI's Chat Completions API format. See [penny-pincher-provider](https://github.com/tiennm99/penny-pincher-provider) for compatible providers.
|
||||
|
||||
**Q: How do I update the gateway?**
|
||||
A: Pull latest changes and redeploy:
|
||||
```bash
|
||||
git pull origin main
|
||||
vercel
|
||||
```
|
||||
|
||||
## Getting Help
|
||||
|
||||
- **API questions**: See [API Reference](./api-reference.md)
|
||||
- **Architecture questions**: See [System Architecture](./system-architecture.md)
|
||||
- **Issues**: Open a GitHub issue with details about your setup and error logs
|
||||
419
docs/system-architecture.md
Normal file
419
docs/system-architecture.md
Normal file
@@ -0,0 +1,419 @@
|
||||
# System Architecture
|
||||
|
||||
## High-Level Overview
|
||||
|
||||
Claude Central Gateway acts as a protocol translator between Anthropic's Messages API and OpenAI's Chat Completions API. Requests flow through a series of transformation stages with minimal overhead.
|
||||
|
||||
```
|
||||
Client (Claude Code)
|
||||
↓
|
||||
HTTP Request (Anthropic API format)
|
||||
↓
|
||||
[Auth Middleware] → Validates x-api-key token
|
||||
↓
|
||||
[Model Mapping] → Maps claude-* model names to openai models
|
||||
↓
|
||||
[Request Transformation] → Anthropic format → OpenAI format
|
||||
↓
|
||||
[OpenAI Client] → Sends request to OpenAI API
|
||||
↓
|
||||
OpenAI Response Stream
|
||||
↓
|
||||
[Response Transformation] → OpenAI format → Anthropic SSE format
|
||||
↓
|
||||
HTTP Response (Anthropic SSE or JSON)
|
||||
↓
|
||||
Client receives response
|
||||
```
|
||||
|
||||
## Request Flow (Detailed)
|
||||
|
||||
### 1. Incoming Request
|
||||
```
|
||||
POST /v1/messages HTTP/1.1
|
||||
Host: gateway.example.com
|
||||
x-api-key: my-secret-token
|
||||
Content-Type: application/json
|
||||
|
||||
{
|
||||
"model": "claude-sonnet-4-20250514",
|
||||
"messages": [...],
|
||||
"tools": [...],
|
||||
"stream": true,
|
||||
...
|
||||
}
|
||||
```
|
||||
|
||||
### 2. Authentication Stage
|
||||
- **Middleware**: `authMiddleware()` from `auth-middleware.js`
|
||||
- **Input**: HTTP request with headers
|
||||
- **Process**:
|
||||
1. Extract `x-api-key` header or `Authorization: Bearer` header
|
||||
2. Compare against `GATEWAY_TOKEN` using `timingSafeEqual()` (constant-time comparison)
|
||||
3. If invalid: Return 401 Unauthorized
|
||||
4. If valid: Proceed to next middleware
|
||||
|
||||
### 3. Model Mapping
|
||||
- **Module**: `openai-client.js`
|
||||
- **Input**: Model name from request (e.g., `claude-sonnet-4-20250514`)
|
||||
- **Process**:
|
||||
1. Check `MODEL_MAP` environment variable (format: `claude:gpt-4o,claude-opus:gpt-4-turbo`)
|
||||
2. If mapping found: Use mapped model name
|
||||
3. If no mapping: Use original model name as fallback
|
||||
- **Output**: Canonical OpenAI model name (e.g., `gpt-4o`)
|
||||
|
||||
### 4. Request Transformation
|
||||
- **Module**: `transform-request.js`, function `buildOpenAIRequest()`
|
||||
- **Input**: Anthropic request body + mapped model name
|
||||
- **Transformations**:
|
||||
|
||||
**Parameters** (direct pass-through with mappings):
|
||||
- `max_tokens` → `max_tokens`
|
||||
- `temperature` → `temperature`
|
||||
- `top_p` → `top_p`
|
||||
- `stream` → `stream` (and adds `stream_options: { include_usage: true }`)
|
||||
- `stop_sequences` → `stop` array
|
||||
|
||||
**Tools**:
|
||||
- Convert Anthropic tool definitions to OpenAI function tools
|
||||
- Map `tool_choice` enum to OpenAI tool_choice format
|
||||
|
||||
**Messages Array** (complex transformation):
|
||||
- **System message**: String or array of text blocks → Single system message
|
||||
- **User messages**: Handle text, images, and tool_result blocks
|
||||
- **Assistant messages**: Handle text and tool_use blocks
|
||||
|
||||
**Content Block Handling**:
|
||||
- `text`: Preserved as-is
|
||||
- `image` (base64 or URL): Converted to `image_url` format
|
||||
- `tool_use`: Converted to OpenAI `tool_calls`
|
||||
- `tool_result`: Split into separate tool messages
|
||||
- Other blocks (thinking, cache_control): Filtered out
|
||||
|
||||
- **Output**: OpenAI Chat Completions request payload (object, not stringified)
|
||||
|
||||
### 5. OpenAI API Call
|
||||
- **Module**: `routes/messages.js` route handler
|
||||
- **Process**:
|
||||
1. Serialize payload to JSON
|
||||
2. Send to OpenAI API with authentication header
|
||||
3. If streaming: Request returns async iterable of chunks
|
||||
4. If non-streaming: Request returns single response object
|
||||
|
||||
### 6. Response Transformation
|
||||
|
||||
#### Non-Streaming Path
|
||||
- **Module**: `transform-response.js`, function `transformResponse()`
|
||||
- **Input**: OpenAI response object + original Anthropic request
|
||||
- **Process**:
|
||||
1. Extract first choice from OpenAI response
|
||||
2. Build content blocks array:
|
||||
- Extract text from `message.content` if present
|
||||
- Extract tool_calls and convert to Anthropic `tool_use` format
|
||||
3. Map OpenAI `finish_reason` to Anthropic `stop_reason`
|
||||
4. Build response envelope with message metadata
|
||||
5. Convert usage tokens (prompt/completion → input/output)
|
||||
- **Output**: Single Anthropic message response object
|
||||
|
||||
#### Streaming Path
|
||||
- **Module**: `transform-response.js`, function `streamAnthropicResponse()`
|
||||
- **Input**: Hono context + OpenAI response stream + original Anthropic request
|
||||
- **Process**:
|
||||
1. Emit `message_start` event with empty message envelope
|
||||
2. For each OpenAI chunk:
|
||||
- Track `finish_reason` for final stop_reason
|
||||
- Handle text deltas: Send `content_block_start`, `content_block_delta`, `content_block_stop`
|
||||
- Handle tool_calls deltas: Similar sequencing, buffer arguments
|
||||
- Track usage tokens from final chunk
|
||||
3. Emit `message_delta` with final stop_reason and output tokens
|
||||
4. Emit `message_stop` to mark end of stream
|
||||
- **Output**: Server-Sent Events stream (Content-Type: text/event-stream)
|
||||
|
||||
### 7. HTTP Response
|
||||
```
|
||||
HTTP/1.1 200 OK
|
||||
Content-Type: text/event-stream (streaming) or application/json (non-streaming)
|
||||
|
||||
event: message_start
|
||||
data: {"type":"message_start","message":{...}}
|
||||
|
||||
event: content_block_start
|
||||
data: {"type":"content_block_start",...}
|
||||
|
||||
event: content_block_delta
|
||||
data: {"type":"content_block_delta",...}
|
||||
|
||||
event: message_delta
|
||||
data: {"type":"message_delta",...}
|
||||
|
||||
event: message_stop
|
||||
data: {"type":"message_stop"}
|
||||
```
|
||||
|
||||
## Tool Use Round-Trip (Special Case)
|
||||
|
||||
Complete workflow for tool execution:
|
||||
|
||||
### Step 1: Initial Request with Tools
|
||||
```
|
||||
Client sends:
|
||||
{
|
||||
"messages": [{"role": "user", "content": "Search for X"}],
|
||||
"tools": [{"name": "search", "description": "...", "input_schema": {...}}]
|
||||
}
|
||||
```
|
||||
|
||||
### Step 2: Model Selects Tool
|
||||
```
|
||||
OpenAI responds:
|
||||
{
|
||||
"choices": [{
|
||||
"message": {
|
||||
"content": null,
|
||||
"tool_calls": [{"id": "call_123", "function": {"name": "search", "arguments": "{..."}}]
|
||||
}
|
||||
}]
|
||||
}
|
||||
```
|
||||
|
||||
### Step 3: Transform & Return to Client
|
||||
```
|
||||
Gateway converts:
|
||||
{
|
||||
"content": [
|
||||
{"type": "tool_use", "id": "call_123", "name": "search", "input": {...}}
|
||||
],
|
||||
"stop_reason": "tool_use"
|
||||
}
|
||||
```
|
||||
|
||||
### Step 4: Client Executes Tool and Responds
|
||||
```
|
||||
Client sends:
|
||||
{
|
||||
"messages": [
|
||||
{"role": "user", "content": "Search for X"},
|
||||
{"role": "assistant", "content": [{"type": "tool_use", "id": "call_123", ...}]},
|
||||
{"role": "user", "content": [
|
||||
{"type": "tool_result", "tool_use_id": "call_123", "content": "Result: ..."}
|
||||
]}
|
||||
]
|
||||
}
|
||||
```
|
||||
|
||||
### Step 5: Transform & Forward to OpenAI
|
||||
```
|
||||
Gateway converts:
|
||||
{
|
||||
"messages": [
|
||||
{"role": "user", "content": "Search for X"},
|
||||
{"role": "assistant", "content": null, "tool_calls": [...]},
|
||||
{"role": "tool", "tool_call_id": "call_123", "content": "Result: ..."}
|
||||
]
|
||||
}
|
||||
```
|
||||
|
||||
### Step 6: Model Continues
|
||||
OpenAI processes tool result and continues conversation.
|
||||
|
||||
## Stop Reason Mapping
|
||||
|
||||
| OpenAI `finish_reason` | Anthropic `stop_reason` | Notes |
|
||||
|----------------------|----------------------|-------|
|
||||
| `stop` | `end_turn` | Normal completion |
|
||||
| `stop` (with stop_sequences) | `stop_sequence` | Hit user-specified stop sequence |
|
||||
| `length` | `max_tokens` | Hit max_tokens limit |
|
||||
| `tool_calls` | `tool_use` | Model selected a tool |
|
||||
| `content_filter` | `end_turn` | Content filtered by safety filters |
|
||||
|
||||
## Data Structures
|
||||
|
||||
### Request Object (Anthropic format)
|
||||
```javascript
|
||||
{
|
||||
model: string,
|
||||
messages: [{
|
||||
role: "user" | "assistant",
|
||||
content: string | [{
|
||||
type: "text" | "image" | "tool_use" | "tool_result",
|
||||
text?: string,
|
||||
source?: {type: "base64" | "url", media_type?: string, data?: string, url?: string},
|
||||
id?: string,
|
||||
name?: string,
|
||||
input?: object,
|
||||
tool_use_id?: string,
|
||||
is_error?: boolean
|
||||
}]
|
||||
}],
|
||||
system?: string | [{type: "text", text: string}],
|
||||
tools?: [{
|
||||
name: string,
|
||||
description: string,
|
||||
input_schema: object
|
||||
}],
|
||||
tool_choice?: {type: "auto" | "any" | "none" | "tool", name?: string},
|
||||
max_tokens: number,
|
||||
temperature?: number,
|
||||
top_p?: number,
|
||||
stop_sequences?: string[],
|
||||
stream?: boolean
|
||||
}
|
||||
```
|
||||
|
||||
### Response Object (Anthropic format)
|
||||
```javascript
|
||||
{
|
||||
id: string,
|
||||
type: "message",
|
||||
role: "assistant",
|
||||
content: [{
|
||||
type: "text" | "tool_use",
|
||||
text?: string,
|
||||
id?: string,
|
||||
name?: string,
|
||||
input?: object
|
||||
}],
|
||||
model: string,
|
||||
stop_reason: "end_turn" | "max_tokens" | "stop_sequence" | "tool_use",
|
||||
usage: {
|
||||
input_tokens: number,
|
||||
output_tokens: number
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
## Deployment Topology
|
||||
|
||||
### Single-Instance Deployment (Typical)
|
||||
```
|
||||
┌─────────────────────┐
|
||||
│ Claude Code │
|
||||
│ (Claude IDE) │
|
||||
└──────────┬──────────┘
|
||||
│ HTTP/HTTPS
|
||||
▼
|
||||
┌─────────────────────┐
|
||||
│ Claude Central │
|
||||
│ Gateway (Vercel) │
|
||||
│ ┌────────────────┐ │
|
||||
│ │ Auth │ │
|
||||
│ │ Transform Req │ │
|
||||
│ │ Transform Resp │ │
|
||||
│ └────────────────┘ │
|
||||
└──────────┬──────────┘
|
||||
│ HTTP/HTTPS
|
||||
▼
|
||||
┌─────────────────────┐
|
||||
│ OpenAI API │
|
||||
│ chat/completions │
|
||||
└─────────────────────┘
|
||||
```
|
||||
|
||||
### Multi-Instance Deployment (Stateless)
|
||||
Multiple gateway instances can run independently. Requests distribute via:
|
||||
- Load balancer (Vercel built-in, Cloudflare routing)
|
||||
- Client-side retry on failure
|
||||
|
||||
Each instance:
|
||||
- Shares same `GATEWAY_TOKEN` for authentication
|
||||
- Shares same `MODEL_MAP` for consistent routing
|
||||
- Connects independently to OpenAI
|
||||
|
||||
No coordination required between instances.
|
||||
|
||||
## Scalability Characteristics
|
||||
|
||||
### Horizontal Scaling
|
||||
- ✅ Fully stateless: Add more instances without coordination
|
||||
- ✅ No shared state: Each instance owns only active requests
|
||||
- ✅ Database-free: No bottleneck or single point of failure
|
||||
|
||||
### Rate Limiting
|
||||
- ⚠️ Currently none: Single token shared across all users
|
||||
- Recommendation: Implement per-token or per-IP rate limiting if needed
|
||||
|
||||
### Performance
|
||||
- Latency: ~50-200ms overhead per request (serialization + HTTP)
|
||||
- Throughput: Limited by OpenAI API tier, not gateway capacity
|
||||
- Memory: ~20MB per instance (Hono + dependencies)
|
||||
|
||||
## Error Handling Architecture
|
||||
|
||||
### Authentication Errors
|
||||
```
|
||||
Client → Gateway (missing/invalid token)
|
||||
└→ Return 401 with error details
|
||||
No API call made
|
||||
```
|
||||
|
||||
### Transform Errors
|
||||
```
|
||||
Client → Gateway → Transform fails (malformed request)
|
||||
└→ Return 400 Bad Request
|
||||
No API call made
|
||||
```
|
||||
|
||||
### OpenAI API Errors
|
||||
```
|
||||
Client → Gateway → OpenAI API returns error
|
||||
└→ Convert to Anthropic error format
|
||||
└→ Return to client
|
||||
```
|
||||
|
||||
### Network Errors
|
||||
```
|
||||
Client → Gateway → OpenAI unreachable
|
||||
└→ Timeout or connection error
|
||||
└→ Return 500 Internal Server Error
|
||||
```
|
||||
|
||||
## Security Model
|
||||
|
||||
### Authentication
|
||||
- **Method**: Single shared token (`GATEWAY_TOKEN`)
|
||||
- **Comparison**: Timing-safe to prevent brute-force via timing attacks
|
||||
- **Suitable for**: Personal use, small teams with trusted members
|
||||
- **Not suitable for**: Multi-tenant, public access, high-security requirements
|
||||
|
||||
### Token Locations
|
||||
- Client stores in `ANTHROPIC_AUTH_TOKEN` environment variable
|
||||
- Server validates against `GATEWAY_TOKEN` environment variable
|
||||
- Never logged or exposed in error messages
|
||||
|
||||
### Recommendations for Production
|
||||
1. Use strong, randomly generated token (32+ characters)
|
||||
2. Rotate token periodically
|
||||
3. Use HTTPS only (Vercel provides free HTTPS)
|
||||
4. Consider rate limiting by IP if exposed to untrusted networks
|
||||
5. Monitor token usage logs for suspicious patterns
|
||||
|
||||
## Monitoring & Observability
|
||||
|
||||
### Built-in Logging
|
||||
- Hono logger middleware logs all requests (method, path, status, latency)
|
||||
- Errors logged to console with stack traces
|
||||
|
||||
### Recommended Additions
|
||||
- Request/response body logging (for debugging, exclude in production)
|
||||
- Token usage tracking (prompt/completion tokens)
|
||||
- API error rate monitoring
|
||||
- Latency percentiles (p50, p95, p99)
|
||||
- OpenAI API quota tracking
|
||||
|
||||
## Future Architecture Considerations
|
||||
|
||||
### Potential Enhancements
|
||||
1. **Per-request authentication**: Support API keys per user/token
|
||||
2. **Request routing**: Route based on model, user, or other properties
|
||||
3. **Response caching**: Cache repeated identical requests
|
||||
4. **Rate limiting**: Token bucket or sliding window per client
|
||||
5. **Webhook logging**: Send detailed logs to external system
|
||||
6. **Provider abstraction**: Support multiple backends (Google, Anthropic, etc.)
|
||||
|
||||
### Current Constraints Preventing Enhancement
|
||||
- Single-token auth: No per-user isolation
|
||||
- Minimal state: Cannot track usage per user
|
||||
- Stateless design: Cannot implement caching or rate limiting without storage
|
||||
- Simple model mapping: Cannot route intelligently
|
||||
|
||||
These are intentional trade-offs prioritizing simplicity over flexibility.
|
||||
Reference in New Issue
Block a user