fleet-memory/hindsight-docs/examples/integrations/ai-sdk.ts
2026-02-18 13:06:03 +01:00

122 lines
3.5 KiB
TypeScript

/**
* Hindsight AI SDK integration examples
* These snippets are embedded in the documentation via CodeSnippet.
*/
// [docs:setup]
import { HindsightClient } from '@vectorize-io/hindsight-client';
import { createHindsightTools } from '@vectorize-io/hindsight-ai-sdk';
const client = new HindsightClient({ baseUrl: 'http://localhost:8888' });
const tools = createHindsightTools({
client,
bankId: 'user-123',
});
// [/docs:setup]
// [docs:generate-text]
import { generateText } from 'ai';
import { openai } from '@ai-sdk/openai';
const { text } = await generateText({
model: openai('gpt-4o'),
tools,
maxSteps: 5,
system: 'You are a helpful assistant with long-term memory.',
prompt: 'Remember that I prefer dark mode and large fonts.',
});
// [/docs:generate-text]
// [docs:stream-text]
import { streamText } from 'ai';
const result = streamText({
model: openai('gpt-4o'),
tools,
maxSteps: 5,
system: 'You are a helpful assistant with long-term memory.',
prompt: 'What are my display preferences?',
});
for await (const chunk of result.textStream) {
process.stdout.write(chunk);
}
// [/docs:stream-text]
// [docs:tool-loop-agent]
import { generateText, ToolLoopAgent, stepCountIs } from 'ai';
import { openai } from '@ai-sdk/openai';
import { HindsightClient } from '@vectorize-io/hindsight-client';
import { createHindsightTools } from '@vectorize-io/hindsight-ai-sdk';
const client = new HindsightClient({ baseUrl: process.env.HINDSIGHT_API_URL! });
const agent = new ToolLoopAgent({
model: openai('gpt-4o'),
tools: createHindsightTools({ client, bankId: 'user-123' }),
stopWhen: stepCountIs(10),
system: 'You are a helpful assistant with long-term memory.',
});
const result = await agent.generate({
prompt: 'Remember that my favorite editor is Neovim',
});
// [/docs:tool-loop-agent]
// [docs:next-api-route]
// app/api/chat/route.ts
import { streamText } from 'ai';
import { openai } from '@ai-sdk/openai';
import { HindsightClient } from '@vectorize-io/hindsight-client';
import { createHindsightTools } from '@vectorize-io/hindsight-ai-sdk';
const hindsightClient = new HindsightClient({
baseUrl: process.env.HINDSIGHT_API_URL!,
});
export async function POST(req: Request) {
const { messages, userId } = await req.json();
// Tools are created per-request, closing over the current user's bankId
const tools = createHindsightTools({
client: hindsightClient,
bankId: userId,
});
return streamText({
model: openai('gpt-4o'),
tools,
maxSteps: 5,
system: 'You are a helpful assistant with long-term memory.',
messages,
}).toDataStreamResponse();
}
// [/docs:next-api-route]
// [docs:constructor-options]
const tools = createHindsightTools({
client,
bankId: userId,
retain: {
async: true, // fire-and-forget (default: false)
tags: ['env:prod', 'app:support'], // always attached to every retained memory
metadata: { version: '2.0' }, // always attached to every retained memory
},
recall: {
budget: 'high', // processing depth: low | mid | high (default: 'mid')
types: ['experience', 'world'], // restrict to these fact types (default: all)
maxTokens: 2048, // cap token budget (default: API default)
includeEntities: true, // include entity observations (default: false)
includeChunks: true, // include raw source chunks (default: false)
},
reflect: {
budget: 'mid', // processing depth (default: 'mid')
},
});
// [/docs:constructor-options]