| Name | Modified | Size | Downloads / Week |
|---|---|---|---|
| Parent folder | |||
| README.md | 2025-05-21 | 2.6 kB | |
| v0.21.0 source code.tar.gz | 2025-05-21 | 2.0 MB | |
| v0.21.0 source code.zip | 2025-05-21 | 2.3 MB | |
| Totals: 3 Items | 4.3 MB | 0 | |
🔄 KaibanJS v0.21.0 – DeepSeek Integration + MCP Playground Examples
🌟 Highlight: DeepSeek Multi-Model Support + Model Context Protocol (MCP) in Playground
We’ve added official support for the DeepSeek provider with multi-model capabilities, allowing developers to use both deepseek-chat and deepseek-reasoner across agent workflows.
In addition, the React Playground has been upgraded to include DeepSeek llm examples and MCP (Model Context Protocol) examples, aligning with emerging standards for structured agent-tool interaction and enabling powerful, interoperable workflows.
📦 What’s New
🤖 DeepSeek Model Integration
- Introduced support for DeepSeek in agent
llmConfig, with full support for: deepseek-chat-
deepseek-reasoner -
Updated the cost calculator and configuration system to reflect DeepSeek parameters
-
Playground React app now includes DeepSeek-powered agent examples and enhanced Storybook demos
Agent using deepseek-chat:
:::js
const searchAgent = new Agent({
name: 'Scout',
role: 'Information Gatherer',
goal: 'Find up-to-date information about the given sports input.',
background: 'Research',
type: 'ReactChampionAgent',
tools: [searchTool],
llmConfig: {
provider: 'deepseek',
model: 'deepseek-chat',
},
});
Agent using deepseek-reasoner:
:::js
const profileAnalyst = new Agent({
name: 'Mary',
role: 'Profile Analyst',
goal: 'Extract structured information from conversational user input.',
background: 'Data Processor',
tools: [],
llmConfig: {
provider: 'deepseek',
model: 'deepseek-reasoner',
},
});
🧰 Playground Enhancements
- Added DeepSeek examples to the React Playground
- Introduced MCP (Model Context Protocol) examples to demonstrate agent-tool integration using standardized context formats
🧪 Testing Improvements
- Updated tests to include DeepSeek agent workflows
- Validated configuration across DeepSeek, OpenAI, and Anthropic agents
🐛 Community Contribution
- [#233] Fix typos in codebase
Huge thanks to @davidxll for your contribution! Your fixes help keep the codebase clear and developer-friendly.
KaibanJS continues to evolve to support the latest in LLM and multi-agent orchestration. Dive into the Playground to test DeepSeek, explore MCP workflows, and create modular AI systems faster than ever.