claudeers.

🔓 unclaimed — this page was auto-generated from GitHub. Are you the creator?

Claim this page →
// Integrations & Connectors

deepreasoning

A high-performance LLM inference API and Chat UI that integrates DeepSeek R1's CoT reasoning traces with Anthropic Claude models.

Dormant
25/100
last commit 9 months ago
last release over 1 year ago
releases 1
open issues 50
// install
git clone https://github.com/winfunc/deepreasoning

DeepReasoning 🐬🧠

deepreasoning

Harness the power of DeepSeek R1's reasoning and Claude's creativity and code generation capabilities with a unified API and chat interface.

Getting StartedFeaturesAPI UsageDocumentationSelf-HostingContributing


[!NOTE] Disclaimer: This project is not affiliated with, endorsed by, or sponsored by Anthropic. Claude is a trademark of Anthropic, PBC. This is an independent developer project using Claude.

Overview

DeepReasoning is a high-performance LLM inference API that combines DeepSeek R1's Chain of Thought (CoT) reasoning capabilities with Anthropic Claude's creative and code generation prowess. It provides a unified interface for leveraging the strengths of both models while maintaining complete control over your API keys and data.

Features

🚀 Zero Latency - Instant responses with R1's CoT followed by Claude's response in a single stream, powered by a high-performance Rust API

🔒 Private & Secure - End-to-end security with local API key management. Your data stays private

⚙️ Highly Configurable - Customize every aspect of the API and interface to match your needs

🌟 Open Source - Free and open-source codebase. Contribute, modify, and deploy as you wish

🤖 Dual AI Power - Combine DeepSeek R1's reasoning with Claude's creativity and code generation

🔑 Managed BYOK API - Use your own API keys with our managed infrastructure for complete control

Why R1 + Claude?

DeepSeek R1's CoT trace demonstrates deep reasoning to the point of an LLM experiencing "metacognition" - correcting itself, thinking about edge cases, and performing quasi Monte Carlo Tree Search in natural language.

However, R1 lacks in code generation, creativity, and conversational skills. Claude 3.5 Sonnet excels in these areas, making it the perfect complement. DeepReasoning combines both models to provide:

  • R1's exceptional reasoning and problem-solving capabilities
  • Claude's superior code generation and creativity
  • Fast streaming responses in a single API call
  • Complete control with your own API keys

Getting Started

Prerequisites

  • Rust 1.75 or higher
  • DeepSeek API key
  • Anthropic API key

Installation

  1. Clone the repository:
git clone https://github.com/getasterisk/deepreasoning.git
cd deepreasoning
  1. Build the project:
cargo build --release

Configuration

Create a config.toml file in the project root:

[server]
host = "127.0.0.1"
port = 3000

[pricing]
# Configure pricing settings for usage tracking

API Usage

See API Docs

Basic Example

import requests

response = requests.post(
    "http://127.0.0.1:1337/",
    headers={
        "X-DeepSeek-API-Token": "<YOUR_DEEPSEEK_API_KEY>",
        "X-Anthropic-API-Token": "<YOUR_ANTHROPIC_API_KEY>"
    },
    json={
        "messages": [
            {"role": "user", "content": "How many 'r's in the word 'strawberry'?"}
        ]
    }
)

print(response.json())

Streaming Example

import asyncio
import json
import httpx

async def stream_response():
    async with httpx.AsyncClient() as client:
        async with client.stream(
            "POST",
            "http://127.0.0.1:1337/",
            headers={
                "X-DeepSeek-API-Token": "<YOUR_DEEPSEEK_API_KEY>",
                "X-Anthropic-API-Token": "<YOUR_ANTHROPIC_API_KEY>"
            },
            json={
                "stream": True,
                "messages": [
                    {"role": "user", "content": "How many 'r's in the word 'strawberry'?"}
                ]
            }
        ) as response:
            response.raise_for_status()
            async for line in response.aiter_lines():
                if line:
                    if line.startswith('data: '):
                        data = line[6:]
                        try:
                            parsed_data = json.loads(data)
                            if 'content' in parsed_data:
                                content = parsed_data.get('content', '')[0]['text']
                                print(content, end='',flush=True)
                            else:
                                print(data, flush=True)
                        except json.JSONDecodeError:
                            pass

if __name__ == "__main__":
    asyncio.run(stream_response())

Configuration Options

The API supports extensive configuration through the request body:

{
    "stream": false,
    "verbose": false,
    "system": "Optional system prompt",
    "messages": [...],
    "deepseek_config": {
        "headers": {},
        "body": {}
    },
    "anthropic_config": {
        "headers": {},
        "body": {}
    }
}

Self-Hosting

DeepReasoning can be self-hosted on your own infrastructure. Follow these steps:

  1. Configure environment variables or config.toml
  2. Build the Docker image or compile from source
  3. Deploy to your preferred hosting platform

Security

  • No data storage or logged
  • BYOK (Bring Your Own Keys) architecture
  • Regular security audits and updates

Contributing

We welcome contributions! Please see our Contributing Guidelines for details on:

  • Code of Conduct
  • Development process
  • Submitting pull requests
  • Reporting issues

License

This project is licensed under the MIT License - see the LICENSE file for details.

Acknowledgments

DeepReasoning is a free and open-source project by Asterisk. Special thanks to:

  • DeepSeek for their incredible R1 model
  • Anthropic for Claude's capabilities
  • The open-source community for their continuous support

Made with ❤️ by Asterisk

// compatibility

Platformsapi
Operating systems
AI compatibilityclaude
LicenseMIT
Pricingopen-source
LanguageRust

// faq

What is deepreasoning?

A high-performance LLM inference API and Chat UI that integrates DeepSeek R1's CoT reasoning traces with Anthropic Claude models.. It is open-source on GitHub.

Is deepreasoning free to use?

deepreasoning is open-source under the MIT license, so it is free to use.

What category does deepreasoning belong to?

deepreasoning is listed under integrations in the Claudeers registry of Claude-compatible tools.

0 views
5,361 stars
unclaimed
updated 15 days ago

// embed badge

deepreasoning on Claudeers
[![Claudeers](https://claudeers.com/api/badge/deepreasoning.svg)](https://claudeers.com/deepreasoning)

// retro hit counter

deepreasoning hit counter
[![Hits](https://claudeers.com/api/counter/deepreasoning.svg)](https://claudeers.com/deepreasoning)

// reviews

// guestbook

0/500

// related in Integrations & Connectors

🔓

Use claude code and codex for free in the terminal, VSCode extension, and discord like OpenClaw (voice supported)

// integrationsAlishahryar1/Python39,205MIT[ claude ]
🔓

Bridge local AI coding agents (Claude Code, Cursor, Gemini CLI, Codex) to messaging platforms (Feishu/Lark, DingTalk, Slack, Telegram, Discord, LINE, WeChat…

// integrationschenhg5/Go13,605[ claude ]
🔓

All parts of Claude Code's system prompt, 27 builtin tool descriptions, sub agent prompts (Plan/Explore/Task), utility prompts (CLAUDE.md, compact, statusli…

// integrationsPiebald-AI/JavaScript11,624MIT[ claude ]
🔓

Fastest, smallest, and fully autonomous AI assistant infrastructure written in Zig

// integrationsnullclaw/Zig7,737MIT[ claude ]

// built by

Connectorlinks several projects together across the ecosystem · 7 connections
→ see how deepreasoning connects across the ecosystem