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Deepreasoning

Deepreasoning is an open-source LLM inference API and chat interface that combines DeepSeek R1 reasoning traces with Anthropic Claude models. It provides a unified request format for sending messages to the integrated models, with options including streaming and model-specific configuration.

Explore the practical guide ↓

Independent OpenViST project profile, based on linked sources.

Deepreasoning — OpenViST project profile in AI APIs & Platforms.
OpenViST project illustration. See the linked sources for product details.
Understand the project

Practical overview

When it fits

Use Deepreasoning when a project or workflow needs a single interface combining DeepSeek R1 reasoning traces with Claude responses, or when developers want to build and configure that API from source.

Who it is for

  • Developers building applications that need a unified interface to DeepSeek R1 and Claude.
  • People who want to use the combined models through the project's chat interface.
  • Teams or individual developers who want to compile and self-host the service.

Documented uses

  • Submit conversational messages through a single inference API.
  • Receive responses in a stream or as a regular request.
  • Use the chat interface to work with the integrated models.
  • Configure request behavior, system prompts, and provider-specific request settings.
Before you choose

Requirements & limits

  • Self-hosting prerequisites include Rust 1.75 or higher and API keys for both providers.
  • The API accepts streaming and non-streaming requests and supports system prompts and provider-specific configuration.
  • The README gives different example ports for the config file and API request, so users should verify their effective server port.
  • The repository is MIT-licensed and identifies the project as independent from Anthropic.

Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.

Source-based practical guide

Build and configure Deepreasoning from source

Prepare the Rust project and configure its server settings.

Before you start

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

Steps

  1. Clone the repository and enter its directory.

  2. Build the project with the command below.

    Documented command
    cargo build --release

  3. Create config.toml in the project root and set the server host and port; the example uses 127.0.0.1 and 3000.

  4. Configure the required provider keys using environment variables or the project's configuration approach.

Expected outcome

A compiled project with server settings configured, ready for the documented API-use stage.

Guide limitations

  • The setup instructions do not specify a complete environment-variable naming scheme.
  • The README's API request example uses port 1337, while its configuration example sets port 3000; check the applicable configuration before making requests.
Documentation 1 ↗
COMPARE OPTIONS

Compare options for Model inference and serving

These projects document a common task and share a project role. This is a source-based comparison, not an execution benchmark or a guarantee of interchangeability.

ProjectDocumented purposePlatformAccess and requirements
DeepreasoningSubmit conversational messages through a single inference API.Server, Web
LocalaiServe AI models on self-hosted infrastructure.Docker, Self-hosted, ServerThe project is presented as open source and uses the MIT license. It is documented for self-hosted, server, Docker, and macOS-based use; the evidence does not specify pricing or an account requirement.
LitellmCall multiple LLM APIs through a common integration surfaceCloud, Self-hosted, ServerThe project is publicly available as open-source software and is classified for cloud, server and self-hosted deployment. The supplied evidence does not specify pricing or account requirements.
Evidence and transparency

Sources & review

Official repository ↗
Source record details
Source availability
Active
Sources checked
13 October 2026
Original website title
winfunc/deepreasoning · Official homepage title · retained in its source language
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