winfunc/deepreasoning
Deepreasoning
DeepReasoning este un gateway AI self-hosted și o interfață de chat care oferă un API de inferență LLM. Acesta funcționează ca o punte care îmbină urmele de raționament (reasoning traces) din DeepSeek R1 cu capacitățile generative ale modelelor Claude pentru a facilita rezolvarea problemelor complexe.
Sistemul este livrat ca o aplicație dockerizată, permițând deployment-ul pe infrastructură privată. Această arhitectură permite inferența LLM privată și gestionarea securizată a cheilor API și a token-urilor de autentificare pe hardware controlat de utilizator.
Proiectul acoperă orchestrarea multi-model prin combinarea raționamentului de tip "chain-of-thought" și a output-urilor generative într-un singur flux unificat. Utilizează un gateway API stateless și server-sent events pentru a livra răspunsuri incrementale ale modelului către interfața client.
Features
- Reasoning-Generative Bridges - Functions as a bridge merging DeepSeek R1 reasoning traces with Anthropic Claude models for complex problem solving.
- Self-Hosted Chat Interfaces - Provides a deployable, private web interface for interacting with various LLM backends via Docker.
- Complex Problem Solving - Solves complex tasks by integrating chain-of-thought reasoning with generative models for step-by-step logical processing.
- Chat and API Access - Offers both a web-based chat interface and a programmatic API for streaming combined reasoning and generative outputs.
- Multi-Model Orchestration - Coordinates the reasoning capabilities of DeepSeek R1 and the generative strengths of Claude models within a single workflow.
- Private LLM Inference - Provides a framework for running LLM APIs and interfaces on private hardware to maintain total environment control.
- Reasoning Step Outputs - Surfaces detailed intermediate reasoning steps from models alongside the final generative response in a single stream.
- Private Infrastructure Hosting - Allows deployment of the inference wrapper and chat interface on user-controlled hardware for full environment authority.
- Self-Hosted AI Infrastructure - Serves as a private gateway for managing LLM API keys and hosting inference interfaces on owned hardware.
- Self-Hosted API Deployments - Provides a configuration for deploying the API service on private, user-owned infrastructure.
- Self-Hosted Inference Servers - Enables running the AI inference engine on self-managed servers for complete control over the hardware environment.
- API Key Management - Provides secure local storage and management of LLM API keys and authentication tokens on private infrastructure.
- Model - Merges separate chain-of-thought reasoning traces and final generation streams into a unified response for the client.
- Model Response Streaming - Implements incremental delivery of AI model outputs to the user interface for improved responsiveness during inference.
- Dockerized LLM Chat Deployments - Ships as a fully containerized LLM chat application with an integrated API for easy deployment.
- Containerized Deployments - Provides standardized packaging via containers to ensure consistent application execution across diverse private infrastructure.
- Token Streaming - Utilizes real-time token streaming to deliver incremental model updates to the user interface.
- Local Secret Fallbacks - Stores authentication tokens and API keys in local encrypted files on private infrastructure to prevent cloud exposure.
- Container-Based Isolation - Uses container images to encapsulate the application and its dependencies for consistent execution across private hardware.
- Stateless Architectures - Implements a stateless architecture to route requests between the client and multiple LLM providers without server-side sessions.
