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import { nanoid } from "https://esm.sh/nanoid@5.0.5";
import { sqlite } from "https://esm.town/v/stevekrouse/sqlite";
import Anthropic from "npm:@anthropic-ai/sdk@0.24.3";
const TABLE_NAME = `memories`;
  try {
    // Get API key from environment
    const apiKey = Deno.env.get("ANTHROPIC_API_KEY");
    if (!apiKey) {
      console.error("Anthropic API key is not configured.");
      return null;
    }
    // Initialize Anthropic client
    const anthropic = new Anthropic({ apiKey });
    // Format previous facts for the prompt
    console.log({ message });
    const response = await anthropic.messages.create({
      model: "claude-3-5-sonnet-latest",
      max_tokens: 1000,

You'll need to set up some environment variables to make it run.
- `ANTHROPIC_API_KEY` for LLM calls
- You'll need to follow [these instructions](https://docs.val.town/integrations/telegram/) to make a telegram bot, and set `TELEGRAM_TOKEN`. You'll also need to get a `TELEGRAM_CHAT_ID` in order to have the bot remember chat contents.
- For the Google Calendar integration you'll need `GOOGLE_CALENDAR_ACCOUNT_ID` and `GOOGLE_CALENDAR_CALENDAR_ID`. See [these instuctions](https://www.val.town/v/stevekrouse/pipedream) for details.

import { DateTime } from "https://esm.sh/luxon@3.4.4";
import Anthropic from "npm:@anthropic-ai/sdk@0.24.3";
const RECIPIENTS = ["Geoffrey", "Maggie"] as const;
async function analyzeHtmlContent(
  anthropic: Anthropic,
  htmlContent: string,
  imageSummaries: ImageSummary[]
) {
  try {
    const response = await anthropic.messages.create({
      model: "claude-3-5-sonnet-latest",
      max_tokens: 4196,
  console.log(e.text);
  // Get Anthropic API key from environment
  const apiKey = Deno.env.get("ANTHROPIC_API_KEY");
  if (!apiKey) {
    console.error("Anthropic API key is not configured for this val.");
    return;
  }
  // Initialize Anthropic client
  const anthropic = new Anthropic({ apiKey });
  // Process each image attachment serially
      );
      const response = await anthropic.messages.create({
        model: "claude-3-5-sonnet-latest",
        max_tokens: 4196,
  // Analyze HTML content
  const htmlAnalysis = await analyzeHtmlContent(
    anthropic,
    e.html || "",
    summaries

} from "https://esm.town/v/geoffreylitt/getWeather";
import { sqlite } from "https://esm.town/v/stevekrouse/sqlite";
import Anthropic from "npm:@anthropic-ai/sdk@0.24.3";
const TABLE_NAME = `memories`;
  try {
    // Get API key from environment
    const apiKey = Deno.env.get("ANTHROPIC_API_KEY");
    if (!apiKey) {
      console.error("Anthropic API key is not configured.");
      return null;
    }
    // Initialize Anthropic client
    const anthropic = new Anthropic({ apiKey });
    const response = await anthropic.messages.create({
      model: "claude-3-5-sonnet-latest",
      max_tokens: 150,

import { nanoid } from "https://esm.sh/nanoid@5.0.5";
import { sqlite } from "https://esm.town/v/stevekrouse/sqlite";
import Anthropic from "npm:@anthropic-ai/sdk@0.24.3";
const TABLE_NAME = `memories`;
  try {
    // Get API key from environment
    const apiKey = Deno.env.get("ANTHROPIC_API_KEY");
    if (!apiKey) {
      console.error("Anthropic API key is not configured.");
      return null;
    }
    // Initialize Anthropic client
    const anthropic = new Anthropic({ apiKey });
    // Format previous facts for the prompt
    console.log({ message });
    const response = await anthropic.messages.create({
      model: "claude-3-5-sonnet-latest",
      max_tokens: 1000,

  project: any;
  branchId: string | undefined;
  anthropicApiKey: string;
  bearerToken: string;
  selectedFiles: string[];
  project,
  branchId,
  anthropicApiKey,
  bearerToken,
  selectedFiles,
      project,
      branchId,
      anthropicApiKey,
      selectedFiles,
      images: images

- [ ] Give it a replace_file command (instead of delete & create)?
- [ ] Add other LLMs ie Gemini, Deepseek, o3-mini, etc. Figure out how to get a text-editing to work in an LLM agnostic way
- [x] Figure out a convention to teach in the anthropic prompt mod where the LLM always checks the readme for the scope (if not provided) and keeps it up to take with every change
- [x] Ability to create new projects from the interface
- [x] Figure out why OpenTownie can't create HTTP vals. Maybe give it a seperate tool for it?
- [x] Start a timer for messages
- [x] Add more indicators that it's "still working"
- [x] Require users supply their own Anthropic token?
- [x] Add cost indications on messages
- [x] Add a bell noise when the message is done to let us know

import { anthropic } from "npm:@ai-sdk/anthropic";
import { ValTown } from "npm:@valtown/sdk@0.37.0";
import fileWithLinesNumbers from "../utils/fileWithLinesNumbers.ts";
export function getTextEditorTool(bearerToken: string, project: any, branch_id: string | undefined) {
  const vt = new ValTown({ bearerToken });
  return anthropic.tools.textEditor_20250124({
    execute: async ({
      command,

import { readFile } from "https://esm.town/v/std/utils@71-main/index.ts";
import { createAnthropic } from "npm:@ai-sdk/anthropic";
import { ValTown } from "npm:@valtown/sdk@0.37.0";
import { convertToCoreMessages, type CoreUserMessage, streamText } from "npm:ai";
  }
  const { messages, project, branchId, anthropicApiKey, selectedFiles, images } = await c.req.json();
  console.log("Original messages:", JSON.stringify(messages, null, 2));
  console.log("Images received:", JSON.stringify(images, null, 2));
  // Check if API key is available
  if (!anthropicApiKey) {
    return Response.json({
      error: "Anthropic API key is required. Please log out and add your Anthropic API key to use this app.",
    }, { status: 400 });
  }
  let apiKey;
  if (!anthropicApiKey) {
    return Response.json({
      error: "Anthropic API key is required. Please log out and add your Anthropic API key to use this app.",
    }, { status: 400 });
  } else if (anthropicApiKey === Deno.env.get("PASSWORD")) {
    apiKey = Deno.env.get("PROVIDED_ANTHROPIC_API_KEY");
  } else {
    apiKey = anthropicApiKey;
  }
  const anthropic = createAnthropic({
    apiKey,
  });
    // @ts-ignore
    lastMessage.content.at(-1).providerOptions = {
      anthropic: { cacheControl: { type: "ephemeral" } },
    };
  }
  const result = await streamText({
    model: anthropic("claude-3-7-sonnet-20250219"),
    messages: coreMessages,
    system: system + "\n\n" + open_townie_prompt_additions,

## How It Works
1. **Login**: Authenticate with your Val Town API token and Anthropic API key
2. **Select a Project**: Choose which Val Town project you want to work on
3. **Select Files**: Browse your project files and select which ones to include in the context window
- A Val Town account with API access
- An Anthropic API key (Claude 3.7 Sonnet)
### Setup
1. Visit the OpenTownie app
2. Enter your Val Town API token (with `projects:write` and `users:read` permissions)
3. Enter your Anthropic API key
4. Click "Login" to access your projects
- AI SDK for Claude integration
The application proxies requests to the Anthropic API and Val Town API, allowing Claude to view and edit your project files directly.
## Privacy & Security
- Your Val Town API token and Anthropic API key are stored locally in your browser
- No data is stored on our servers
- All communication with the APIs is done directly from your browser