38 lines
1.6 KiB
Markdown
38 lines
1.6 KiB
Markdown
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# Configuring Conversation History
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By default, the `Memory` instance includes the last 10 messages from the current memory thread in each new request. You can customize this by configuring the `lastMessages` option:
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```typescript
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import { Agent } from "@mastra/core/agent";
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import { Memory } from "@mastra/memory";
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import { openai } from "@ai-sdk/openai";
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import { LibSQLStore } from "@mastra/libsql";
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// Create a memory instance with custom conversation history settings
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const memory = new Memory({
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storage: new LibSQLStore({
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url: "file:../../memory.db",
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}),
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options: {
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lastMessages: 20, // Include the last 20 messages in the context instead of the default 10
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},
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});
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// Create an agent with the configured memory
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export const memoryAgent = new Agent({
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name: "MemoryAgent",
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instructions: `
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You are a helpful assistant with memory capabilities.
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You can remember previous conversations and user preferences.
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When a user shares information about themselves, acknowledge it and remember it for future reference.
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If asked about something mentioned earlier in the conversation, recall it accurately.
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`,
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model: openai("gpt-4o"),
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memory: memory,
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});
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```
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The `lastMessages` option controls how many of the most recent messages are included in the agent's context window. This is important because language models have a limited context window size, and including too many messages can push out other important information.
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You'll want to balance between having enough context for the agent to understand the conversation and not overwhelming the context window with too much history.
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