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} from "https://deno.land/x/grammy@v1.35.0/mod.ts";
import { DateTime } from "https://esm.sh/luxon@3.4.4";
import Anthropic from "npm:@anthropic-ai/sdk@0.24.3";
import { backstory } from "../backstory.ts";
import {
/**
 * Format chat history for Anthropic API
 */
function formatChatHistoryForAI(history) {
 */
async function analyzeMessageContent(
  anthropic,
  username,
  messageText,
    console.log({ systemPrompt, formattedHistory });
    const response = await anthropic.messages.create({
      model: "claude-3-5-sonnet-latest",
      max_tokens: 4196,
bot.on("message", async (ctx) => {
  try {
    // Get Anthropic API key from environment
    const apiKey = Deno.env.get("ANTHROPIC_API_KEY");
    if (!apiKey) {
      console.error("Anthropic API key is not configured.");
      ctx.reply(
        "I apologize, but I'm not properly configured at the moment. Please inform the household administrator."
    }
    // Initialize Anthropic client
    const anthropic = new Anthropic({ apiKey });
    // Get message text and user info
    // Analyze message content with chat history context
    const analysis = await analyzeMessageContent(
      anthropic,
      username,
      messageText,

} 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,

We charge a 50% markup on top of raw LLM costs. If you use $10 in Townie
credits, Anthropic will get $6.66 and we'll get $3.33. We think this is fair,
sustainable, and transparent. We don't want to be in the business of having
murky limits, obfuscated credits, or unsustainable margins.

  project,
  branchId,
  // anthropicApiKey,
  // bearerToken,
  selectedFiles,

- [x] Add a "view source" / "send me a PR" link
- [x] Show the HTTP preview in second column if there is one (and let the user pick which one to preview in the iframe)
- [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 { readFile } from "https://esm.town/v/std/utils/index.ts";
import { createAnthropic } from "npm:@ai-sdk/anthropic@1.2.12";
import {
  convertToCoreMessages,
  } = await c.req.json();
  const apiKey = Deno.env.get("ANTHROPIC_API_KEY");
  if (await hasInsufficientCredits({ bearerToken })) {
  });
  const anthropic = createAnthropic({ apiKey });
  let tracedModel = anthropic(model); 
  
  if (Deno.env.get("POSTHOG_PROJECT_API_KEY")) {
    const traceId = `townie_${rowid}_${Date.now()}`;
    // Wrap the Anthropic model with PostHog tracing
    tracedModel = withTracing(anthropic(model), phClient, {
      posthogDistinctId: user.id,
      posthogTraceId: traceId,
    // @ts-ignore
    lastMessage.content.at(-1).providerOptions = {
      anthropic: { cacheControl: { type: "ephemeral" } },
    };
  }
          output_tokens: result.usage.completionTokens,
          cache_read_tokens:
            result.providerMetadata.anthropic.cacheReadInputTokens,
          cache_write_tokens:
            result.providerMetadata.anthropic.cacheCreationInputTokens,
        });
          output_tokens: result.usage.completionTokens,
          cache_read_tokens:
            result.providerMetadata.anthropic.cacheReadInputTokens,
          cache_write_tokens:
            result.providerMetadata.anthropic.cacheCreationInputTokens,
        });
      },

Townie is fully open-source and itself runs on Val Town. Pull requests welcome!
To get Townie running in your Val Town account, click the **Remix** button and then add your ANTHROPIC_API_KEY. You can leave all the other environment variables blank.
Authentication in Townie is handled via Val Town Oauth. However, we have not yet opened up our OAuth to anyone else, which currently makes it very awkward to use your own Townie. Here is a temporary workaround:

        </ul>
        <p>
          The application proxies requests to the Anthropic API and Val Town API, allowing Claude to view and edit your
          project files directly.
        </p>

import Anthropic from "npm:@anthropic-ai/sdk";
import type { GenericMessageEvent } from "npm:@slack/web-api";
import { TOOLS_LIST, TOOLS_OBJECT } from "../tools/index.ts";
const MAX_STEPS = 10;
const anthropic = new Anthropic({ apiKey: Deno.env.get("CLAUDE_API_KEY") });
const TOOL_RESULTS = {};
export async function reply(
  event: GenericMessageEvent,
  messages: Anthropic.MessageParam[],
) {
  // reply in thread or start one
  const thread_ts = event.thread_ts || event.ts;
  try {
    const input: Anthropic.MessageParam[] = [...messages];
    let conversationLogLinkSent = messages.some((message) => {
    for (let step = 0; step < MAX_STEPS; step++) {
      const response = await anthropic.messages.create({
        model: "claude-sonnet-4-20250514",
        system: await getFullSystemPrompt(event),
        tools: TOOLS_LIST,
        // betas: ["context-1m-2025-08-07"],
        // Requires usage tier 4: https://docs.anthropic.com/en/docs/build-with-claude/context-windows#1m-token-context-window
      });