DeepSeek · Text

Hermes Agent x DeepSeek

DeepSeek models are large language models tuned for reasoning, code, and agentic tool use. Through RunAPI they share a single API key with pay-as-you-go token billing, and are callable from both the OpenAI and Anthropic SDKs.

4 variants from $0.30 / 1M tokens Commercial OK
Get API Key View Hermes Agent Docs

Prerequisite: npx runapi mcp install

Prompt

Prompt models

Use deepseek-flash when it matches the task: deepseek-flash.

You have access to RunAPI chat models for DeepSeek.

Available DeepSeek models:
- deepseek-flash: deepseek-flash
  chat endpoints: /v1/chat/completions, /v1/messages
- deepseek-v4-flash: Fast, low-cost reasoning; toggle thinking per request
  chat endpoints: /v1/chat/completions, /v1/messages
- deepseek-v4-flash-vision-exp: 1M context; image input for vision tasks; JPEG, PNG, GIF, and WebP
  chat endpoints: /v1/chat/completions, /v1/messages
- deepseek-v4-pro: Flagship reasoning and analysis for complex agentic work
  chat endpoints: /v1/messages, /v1/chat/completions

Use the model ID and chat endpoint that match the user's request.
Example request: Refactor this Python module for readability, explain each change, then add unit tests for the edge cases.
Verify the active model with: hermes model;hermes doctor

Public Versions and Endpoints

Model ID Endpoints Price Catalog
deepseek-flash
/v1/chat/completions /v1/messages
$0.30 / 1M tokens Model detail
deepseek-v4-flash
/v1/chat/completions /v1/messages
$0.30 / 1M tokens Model detail
deepseek-v4-flash-vision-exp
/v1/chat/completions /v1/messages
$0.30 / 1M tokens Model detail
deepseek-v4-pro
/v1/messages /v1/chat/completions
$1.32 / 1M tokens Model detail

Verify

Poll until the task reaches a terminal status

Select <model-id> to generate verification commands.

Configuration

Guide endpoint: <endpoint>

Select <model-id> to generate a request with the endpoint's public input contract.
How it works

Get Started in 3 Steps

  1. Choose a model ID

    Select a public catalog model ID and review its endpoint and current starting price.

  2. Configure RunAPI

    Add the provider configuration for this agent.

  3. Verify the result

    Run the agent status and model-selection commands shown below.

What to Build with Hermes Agent + DeepSeek

  • Evaluating self-hosting

    Test DeepSeek through the RunAPI API before deciding whether to self-host the open weights, and keep the hosted version while it costs less.

  • Reasoning interfaces that show their work

    Enable thinking mode and display the reasoning in your app for tutoring, debugging tools, or decision support.

  • High-volume batch processing

    Run a fast DeepSeek version over large document sets, classification jobs, or data extraction where per-token cost matters most.

Why Use DeepSeek Through RunAPI + Hermes Agent

  • 4 variants, one API key

    Use one RunAPI connection to choose among the live model variants without changing your integration.

  • Clear usage pricing

    See current catalog pricing before you send a request, with no subscription or minimum spend required.

  • Direct responses

    Synchronous calls return the result in the same response, so your agent can use it immediately without task polling.

Hermes Agent + DeepSeek Questions

Can Hermes Agent use DeepSeek through the existing RunAPI provider?

Yes. If RunAPI is already configured in Hermes Agent, switch the model to a DeepSeek version from this page. The base URL and API key stay the same.

How do I turn on reasoning mode for DeepSeek?

Reasoning is a request parameter, not a separate model. Enable thinking in the request body, and the reasoning tokens are billed as output tokens.

Can Hermes Agent use DeepSeek with both OpenAI and Anthropic formats?

Yes. RunAPI serves DeepSeek through OpenAI-compatible chat completions and Anthropic-compatible messages. Choose the provider type that matches your Hermes Agent configuration.

Which model ID should I use?

Choose a public model ID from the version table. Each ID exposes the endpoints shown for that version.

Does this guide configure a chat model?

Yes. This Model Line supports a client-facing LLM protocol.

Start using DeepSeek with Hermes Agent

Get API Key Read Quickstart

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