DeepSeek V4 Agent Bench Kit

An unofficial English starter for developers testing DeepSeek V4 Preview.

This repository is independently written. It is not affiliated with DeepSeek. It does not copy DeepSeek model weights, docs, branding assets, or private material.

Why this exists

DeepSeek V4 Preview changed the practical evaluation surface for open-weight and API-based AI systems:

• deepseek-v4-pro and deepseek-v4-flash are available through the official API.
• The official API keeps the OpenAI-compatible base URL and also exposes an Anthropic-compatible endpoint.
• The models are positioned around 1M context, thinking/non-thinking modes, coding-agent integration, tool calls, JSON output, and cost-sensitive workloads.

This guide packages one focused workflow: building a lightweight benchmark for agentic coding and tool-use workflows.

Use Case

Use this when you want a small reproducible bench before trusting DeepSeek V4 in autonomous coding or ops agents.

Quick Start

Set an API key locally:

export DEEPSEEK_API_KEY="replace-with-your-key"

Use this repo as a checklist while wiring DeepSeek V4 into:

• agent benchmarks, coding tasks, tool calling, trace review
• OpenAI-compatible clients via https://api.deepseek.com
• Anthropic-compatible clients via https://api.deepseek.com/anthropic
• Agent tooling that benefits from long context and explicit reasoning effort controls

Example command shape:

python run_bench.py --model deepseek-v4-pro --suite coding-agent-smoke

Evaluation Plan

• Add 10 tasks with expected artifacts.\n- [ ] Capture tool calls and final diffs.\n- [ ] Grade correctness, cost, latency, and recovery behavior.\n- [ ] Rerun with Flash for baseline economics.

Guardrails

• Keep API keys in environment variables or a secret manager.
• Do not commit prompts containing customer data, private logs, or proprietary code.
• Label benchmark results with date, model name, parameters, and dataset version.
• Do not claim official affiliation with DeepSeek.
• Link back to official docs and upstream projects when publishing demos.

Official References

• DeepSeek V4 Preview release: https://api-docs.deepseek.com/news/news260424
• DeepSeek API quick start: https://api-docs.deepseek.com/
• Models and pricing: https://api-docs.deepseek.com/quick_start/pricing
• Coding agent integration: https://api-docs.deepseek.com/guides/coding_agents

Launch Post Draft

DeepSeek V4 claims stronger agent capability. This repo gives English developers a small bench kit to test that claim in their own stack.

Attribution

DeepSeek, DeepSeek V4, and related model names belong to their respective owner. This repository is an independent English field guide built around public official documentation.