feat: naive conversation saving

This commit is contained in:
mitchell 2026-04-15 17:14:31 -04:00
parent 8aaa7f6931
commit 91792bf8bf

View file

@ -1,9 +1,15 @@
import os from "node:os"; import os from "node:os";
import { createOpenAICompatible } from "@ai-sdk/openai-compatible"; import { createOpenAICompatible } from "@ai-sdk/openai-compatible";
import { streamText } from "ai"; import { type ModelMessage, streamText } from "ai";
import { renderStream } from "./src/render"; import { renderStream } from "./src/render";
const home = os.homedir();
const convoFile = Bun.file(`${home}/.aicl_convo.json`);
const reasoningFile = Bun.file(`${home}/.aicl_reasoning.md`);
const responsePath = `${home}/.aicl_response.md`;
const responseFile = Bun.file(responsePath);
const provider = createOpenAICompatible({ const provider = createOpenAICompatible({
name: "llama.cpp", name: "llama.cpp",
apiKey: "local", apiKey: "local",
@ -11,22 +17,31 @@ const provider = createOpenAICompatible({
includeUsage: true, // Include usage information in streaming responses includeUsage: true, // Include usage information in streaming responses
}); });
const messages: ModelMessage[] = [];
try {
const convo = await convoFile.json();
messages.push(...convo);
} catch {}
const prompt = Bun.argv[2] ?? "Introduce yourself.";
messages.push({ role: "user", content: prompt });
const { fullStream, reasoningText, text } = streamText({ const { fullStream, reasoningText, text } = streamText({
model: provider("qwen3.5-35b-a3b"), model: provider("qwen3.5-35b-a3b"),
prompt: Bun.argv[2] ?? "Introduce yourself.", messages,
}); });
renderStream(fullStream); renderStream(fullStream);
const home = os.homedir();
const reasoningPath = `${home}/.aicl_reasoning.md`;
const responsePath = `${home}/.aicl_response.md`;
const reasoning = await reasoningText; const reasoning = await reasoningText;
await Bun.file(reasoningPath).write(reasoning ?? ""); await reasoningFile.write(reasoning ?? "");
const response = await text; const response = await text;
await Bun.file(responsePath).write(response); await responseFile.write(response);
messages.push({ role: "assistant", content: response });
await convoFile.write(JSON.stringify(messages));
const [numColumns] = process.stdout.getWindowSize(); const [numColumns] = process.stdout.getWindowSize();
Bun.spawnSync({ Bun.spawnSync({