Search

import { readFile } from "https://esm.town/v/std/utils/index.ts";
import { Agent, run, webSearchTool } from "npm:@openai/agents@0.3.0";
import { storeLead } from "./db.ts";
  const d = inputData.data || inputData;
  
  if (!Deno.env.get("OPENAI_API_KEY")) {
    const outputData = {
      ...Object.fromEntries(PASSTHROUGH_KEYS.map(k => [k, d[k] ?? ""])),
      match: null,
      reasoning: "Set OPENAI_API_KEY environment variable to enable AI research",
    };
    await storeLead(inputData, outputData);

Note: When changing a SQLite table's schema, change the table's name (e.g., add _2 or _3) to create a fresh table.
### OpenAI
```ts
import { OpenAI } from "https://esm.town/v/std/openai";
const openai = new OpenAI();
const completion = await openai.chat.completions.create({
  messages: [
    { role: "user", content: "Say hello in a creative way" },

  ["aiforswes", ["AI"], "https://www.aiforswes.com/feed"],
  ["tesslBlog", ["AI"], "https://rss-generator.artivilla.com/rss/tessl.xml"],
  ["openaiNews", ["AI"], "https://openai.com/news/rss.xml"],
  [
    "anthropicNews",

};
// ---------- OpenAI mutation with evolutionary context ----------
async function mutatePayloadViaOpenAI(args: {
  openaiKey: string;
  model: string;
  agentId: string;
}): Promise<{ payloadSource: string }> {
  const {
    openaiKey,
    model,
    agentId,
  const resp = await fetchWithRetry(
    "https://api.openai.com/v1/chat/completions",
    {
      method: "POST",
      headers: {
        Authorization: `Bearer ${openaiKey}`,
        "Content-Type": "application/json",
      },
  if (!resp.ok) {
    const text = await resp.text().catch(() => "");
    throw new Error(`OpenAI error: ${resp.status} ${text.slice(0, 300)}`);
  }
  const parsed = safeJsonParse(content ?? "{}");
  if (!parsed?.payloadSource) {
    throw new Error("OpenAI JSON missing payloadSource.");
  }
  const {
    VALTOWN_API_KEY,
    OPENAI_API_KEY,
    REP_VALID,
    REP_MODEL = "gpt-4-turbo-preview",
  const url = new URL(req.url);
  if (!VALTOWN_API_KEY || !OPENAI_API_KEY || !REP_VALID) {
    return Response.json(
      {
        error:
          "Missing env: VALTOWN_API_KEY, OPENAI_API_KEY, REP_VALID are required.",
      },
      { status: 500 },
      }
      const { payloadSource } = await mutatePayloadViaOpenAI({
        openaiKey: OPENAI_API_KEY,
        model: REP_MODEL,
        agentId: AGENT_ID,

Note: When changing a SQLite table's schema, change the table's name (e.g., add _2 or _3) to create a fresh table.
### OpenAI
```ts
import { OpenAI } from "https://esm.town/v/std/openai";
const openai = new OpenAI();
const completion = await openai.chat.completions.create({
  messages: [
    { role: "user", content: "Say hello in a creative way" },

# PineconeIndex
A simple interface for making and querying Pinecone vector databases. Use OpenAI
embeddings to vectorize and search
Create keys for
[Pinecone](https://docs.pinecone.io/guides/projects/manage-api-keys) and
[OpenAI](https://platform.openai.com/docs/api-reference/project-api-keys), and
store then in your environment variables. Then,
// set up your environment variables
const pineconeKey = Deno.env.get("PINECONE_KEY");
const modelToken = Deno.env.get("OPENAI_KEY");
const index = new PineconeIndex({
PineconeIndex also provides `handleRequest` as a convenience method to access
your indices via HTTP. This is useful when accessing the index from other vals,
especially without sharing Pinecone and OpenAI credentials.
### Server setup

    const {model, modelToken} = this.options;
    const response = await axios.post(
      "https://api.openai.com/v1/embeddings",
      {model, input: text }, 
      {

Note: When changing a SQLite table's schema, change the table's name (e.g., add _2 or _3) to create a fresh table.
### OpenAI
```ts
import { OpenAI } from "https://esm.town/v/std/openai";
const openai = new OpenAI();
const completion = await openai.chat.completions.create({
  messages: [
    { role: "user", content: "Say hello in a creative way" },

Note: When changing a SQLite table's schema, change the table's name (e.g., add _2 or _3) to create a fresh table.
### OpenAI
```ts
import { OpenAI } from "https://esm.town/v/std/openai";
const openai = new OpenAI();
const completion = await openai.chat.completions.create({
  messages: [
    { role: "user", content: "Say hello in a creative way" },

/** @jsxImportSource npm:hono@3/jsx */
// @ts-ignore
import { OpenAI } from "https://esm.town/v/std/openai?v=4";
// @ts-ignore
import { blob } from "https://esm.town/v/std/blob?v=11";
const app = new Hono();
const openai = new OpenAI();
async function processInput(state: SessionState, newText: string) {
  // 2. Always Run Archivist (To tag data)
  const archivistRes = await openai.chat.completions.create({
    model: "gpt-4o",
    messages: [
  if (state.phase === "MIMICRY_TEST") {
    // RUN GHOSTWRITER
    const writerRes = await openai.chat.completions.create({
      model: "gpt-4o",
      messages: [
  } else {
    // RUN INVESTIGATOR
    const invRes = await openai.chat.completions.create({
      model: "gpt-4o",
      messages: [