68 lines
2.0 KiB
Markdown
68 lines
2.0 KiB
Markdown
# The simplest conversation
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Like all other Agent frameworks, you can use openmcp-sdk to accomplish the simplest text interaction with a large model. This can be easily done with just a few lines of code.
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## Create agent
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openmcp-sdk can quickly create an agent instance with the following statement:
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```typescript
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import { OmAgent } from 'openmcp-sdk/service/sdk';
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const agent = new OmAgent();
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```
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It is the foundation for all our subsequent work.
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## Set up the large model
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The default large model can be set via `setDefaultLLM`. Here's an example using deepseek:
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```typescript
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agent.setDefaultLLM({
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baseURL: 'https://api.deepseek.com',
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apiToken: 'sk-xxxxxxxxxxxxxxxx',
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model: 'deepseek-chat',
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});
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```
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:::tip
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To prevent the api key from being exposed in the code, we recommend inputting it via environment variables:
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Add the following content to your bashrc or zshrc file:
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```bash
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export OPENMCP_API_TOKEN=sk-xxxxxxxxxxxxxxxx
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```
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Then modify the above code:
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```typescript
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agent.setDefaultLLM({
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baseURL: 'https://api.deepseek.com',
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apiToken: process.env['OPENMCP_API_TOKEN'],
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model: 'deepseek-chat',
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});
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```
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:::
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For other large model access parameters, please refer to the documentation of each large model provider.
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## Send a conversation
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Using the `ainvoke` method, we can directly send text to the large model to complete an interaction and conversation:
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```typescript
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const result = await agent.ainvoke({ messages: '你好，我是 LSTM-Kirigaya，我的另一个名字是锦恢' });
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console.log(result)
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```
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Running the above code, you will get the following reply:
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```
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你好，LSTM-Kirigaya（锦恢）！很高兴认识你～
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你的名字结合了技术（LSTM，长短期记忆网络）和动漫元素（Kirigaya可能让人联想到《刀剑神域》的桐谷和人/桐人），而“锦恢”这个中文名又很有诗意，听起来像是一位对AI和二次元都充满热情的伙伴呢！
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有什么想聊的吗？无论是技术、ACG，还是名字背后的故事，我都乐意倾听～ ✨
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``` |