Deploy Optimized Agents for Coding and Search Automation
Leverage optimized agent performance for autonomous coding and search tasks.
When building AI agents, explicitly define the model's role as a 'Code Agent' or 'Search Agent' to take advantage of DeepSeek's architectural optimizations for tool use.
The Scenario
You are building an autonomous AI agent to manage your documentation or automate parts of your software development lifecycle.
Before & after
Setting up an AI to interact with external tools or browse the web manually often requires 60+ minutes of prompt engineering to prevent the model from hallucinating or losing track.
By prompting the model as a 'Code Agent' or 'Search Agent' in V3.1-Terminus/V3.2, you get structured, tool-ready outputs in about 1-2 minutes.
The Prompt
Act as a Code Agent. Analyze the following repository structure and suggest a refactoring plan for [MODULE_NAME]. Format your output as a series of actionable steps for a developer: [PASTE_REPO_DETAILS_OR_CODE_HERE].
DeepSeek-V3.1-Terminus and subsequent versions (V3.2) have been specifically optimized for agentic workflows. This means the models are better at deciding when to call tools and how to maintain consistency during long-running agent tasks.
Source
Change Log | DeepSeek API Docs"Agent capabilities: Further optimized the performance of the Code Agent and Search Agent."