feat: add image analysis support
- Agent now supports multimodal messages (text + images) - Telegram handler downloads photos and sends to Claude/GPT-4V - Works with both Anthropic and OpenAI vision models - Updates branding to AssureBot in messages https://claude.ai/code/session_015VqJ7gN4vaxtYfYc92UjLs
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Claude
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secure/agent.ts
123
secure/agent.ts
@ -1,7 +1,7 @@
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/**
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* Moltbot Secure - Agent Core
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* AssureBot - Agent Core
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*
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* Minimal AI agent that handles conversations.
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* Minimal AI agent that handles conversations with image support.
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* Direct API calls to Anthropic or OpenAI - no intermediaries.
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*/
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@ -10,9 +10,22 @@ import OpenAI from "openai";
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import type { SecureConfig } from "./config.js";
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import type { AuditLogger } from "./audit.js";
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export type ImageContent = {
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type: "image";
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data: string; // base64
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mediaType: "image/jpeg" | "image/png" | "image/gif" | "image/webp";
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};
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export type TextContent = {
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type: "text";
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text: string;
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};
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export type MessageContent = string | (TextContent | ImageContent)[];
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export type Message = {
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role: "user" | "assistant";
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content: string;
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content: MessageContent;
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};
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export type AgentResponse = {
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@ -25,6 +38,7 @@ export type AgentResponse = {
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export type AgentCore = {
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chat: (messages: Message[], systemPrompt?: string) => Promise<AgentResponse>;
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analyzeImage: (imageData: string, mediaType: ImageContent["mediaType"], prompt?: string) => Promise<AgentResponse>;
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provider: "anthropic" | "openai";
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};
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@ -53,8 +67,28 @@ function createAnthropicAgent(config: SecureConfig, audit: AuditLogger): AgentCo
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const model = config.ai.model || DEFAULT_ANTHROPIC_MODEL;
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function convertContent(content: MessageContent): Anthropic.MessageParam["content"] {
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if (typeof content === "string") {
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return content;
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}
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return content.map((part) => {
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if (part.type === "text") {
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return { type: "text" as const, text: part.text };
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}
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return {
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type: "image" as const,
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source: {
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type: "base64" as const,
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media_type: part.mediaType,
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data: part.data,
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},
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};
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});
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}
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return {
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provider: "anthropic",
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async chat(messages: Message[], systemPrompt?: string): Promise<AgentResponse> {
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try {
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const response = await client.messages.create({
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@ -63,7 +97,7 @@ function createAnthropicAgent(config: SecureConfig, audit: AuditLogger): AgentCo
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system: systemPrompt || DEFAULT_SYSTEM_PROMPT,
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messages: messages.map((m) => ({
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role: m.role,
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content: m.content,
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content: convertContent(m.content),
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})),
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});
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@ -86,6 +120,23 @@ function createAnthropicAgent(config: SecureConfig, audit: AuditLogger): AgentCo
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throw err;
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}
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},
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async analyzeImage(
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imageData: string,
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mediaType: ImageContent["mediaType"],
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prompt = "What's in this image? Describe it in detail."
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): Promise<AgentResponse> {
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const messages: Message[] = [
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{
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role: "user",
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content: [
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{ type: "image", data: imageData, mediaType },
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{ type: "text", text: prompt },
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],
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},
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];
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return this.chat(messages);
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},
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};
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}
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@ -96,20 +147,53 @@ function createOpenAIAgent(config: SecureConfig, audit: AuditLogger): AgentCore
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const model = config.ai.model || DEFAULT_OPENAI_MODEL;
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type OpenAIContent = OpenAI.ChatCompletionContentPart[];
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function convertContent(content: MessageContent): string | OpenAIContent {
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if (typeof content === "string") {
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return content;
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}
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return content.map((part) => {
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if (part.type === "text") {
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return { type: "text" as const, text: part.text };
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}
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return {
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type: "image_url" as const,
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image_url: {
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url: `data:${part.mediaType};base64,${part.data}`,
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},
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};
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});
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}
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return {
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provider: "openai",
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async chat(messages: Message[], systemPrompt?: string): Promise<AgentResponse> {
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try {
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const openaiMessages: OpenAI.ChatCompletionMessageParam[] = [
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{ role: "system", content: systemPrompt || DEFAULT_SYSTEM_PROMPT },
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];
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for (const m of messages) {
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if (m.role === "user") {
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openaiMessages.push({
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role: "user",
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content: convertContent(m.content),
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});
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} else {
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// Assistant messages are always text
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openaiMessages.push({
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role: "assistant",
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content: typeof m.content === "string" ? m.content : "",
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});
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}
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}
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const response = await client.chat.completions.create({
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model,
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max_tokens: 4096,
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messages: [
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{ role: "system", content: systemPrompt || DEFAULT_SYSTEM_PROMPT },
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...messages.map((m) => ({
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role: m.role as "user" | "assistant",
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content: m.content,
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})),
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],
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messages: openaiMessages,
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});
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const text = response.choices[0]?.message?.content || "";
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@ -130,6 +214,23 @@ function createOpenAIAgent(config: SecureConfig, audit: AuditLogger): AgentCore
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throw err;
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}
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},
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async analyzeImage(
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imageData: string,
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mediaType: ImageContent["mediaType"],
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prompt = "What's in this image? Describe it in detail."
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): Promise<AgentResponse> {
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const messages: Message[] = [
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{
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role: "user",
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content: [
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{ type: "image", data: imageData, mediaType },
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{ type: "text", text: prompt },
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],
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},
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];
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return this.chat(messages);
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},
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};
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}
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@ -1,14 +1,14 @@
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/**
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* Moltbot Secure - Telegram Channel
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* AssureBot - Telegram Channel
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*
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* Minimal, secure Telegram bot handler.
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* Minimal, secure Telegram bot handler with image analysis.
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* Allowlist-only: only approved users can interact.
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*/
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import { Bot, Context } from "grammy";
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import type { SecureConfig } from "./config.js";
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import type { AuditLogger } from "./audit.js";
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import type { AgentCore, ConversationStore } from "./agent.js";
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import type { AgentCore, ConversationStore, ImageContent } from "./agent.js";
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export type TelegramBot = {
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bot: Bot;
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@ -62,7 +62,7 @@ export function createTelegramBot(deps: TelegramDeps): TelegramBot {
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}
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await ctx.reply(
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`Welcome to Moltbot Secure.
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`Welcome to AssureBot.
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You are authorized to use this bot.
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@ -72,7 +72,10 @@ Commands:
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/status - Check bot status
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/help - Show help
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Just send me a message to chat!`
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Features:
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- Send text messages to chat
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- Send images for analysis
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- Forward content for analysis`
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);
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});
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@ -113,12 +116,13 @@ Just send me a message to chat!`
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}
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await ctx.reply(
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`Moltbot Secure Help
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`AssureBot Help
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This is a secure, self-hosted AI assistant.
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A secure, self-hosted AI assistant.
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Features:
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- Chat with AI (text messages)
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- Image analysis (send photos)
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- Forward content for analysis
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- Receive webhook notifications
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@ -255,13 +259,74 @@ Security:
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// Handle photos
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bot.on("message:photo", async (ctx) => {
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const userId = ctx.from?.id;
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const username = formatUsername(ctx);
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if (!userId || !isUserAllowed(userId, config.telegram.allowedUsers)) {
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audit.messageBlocked({
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userId: userId || 0,
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username,
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reason: "User not in allowlist",
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});
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return;
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}
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await ctx.reply(
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"I received your image. Image analysis is available with Claude - please describe what you'd like me to analyze."
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);
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const startTime = Date.now();
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const caption = ctx.message.caption || "What's in this image? Describe it in detail.";
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try {
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await ctx.replyWithChatAction("typing");
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// Get the largest photo (last in array)
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const photos = ctx.message.photo;
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const photo = photos[photos.length - 1];
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// Get file info
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const file = await ctx.api.getFile(photo.file_id);
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if (!file.file_path) {
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await ctx.reply("Sorry, I couldn't download the image.");
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return;
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}
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// Download the file
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const fileUrl = `https://api.telegram.org/file/bot${config.telegram.botToken}/${file.file_path}`;
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const response = await fetch(fileUrl);
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if (!response.ok) {
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await ctx.reply("Sorry, I couldn't download the image.");
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return;
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}
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const buffer = await response.arrayBuffer();
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const base64 = Buffer.from(buffer).toString("base64");
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// Determine media type from file path
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const ext = file.file_path.split(".").pop()?.toLowerCase();
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let mediaType: ImageContent["mediaType"] = "image/jpeg";
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if (ext === "png") mediaType = "image/png";
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else if (ext === "gif") mediaType = "image/gif";
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else if (ext === "webp") mediaType = "image/webp";
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// Analyze with AI
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const result = await agent.analyzeImage(base64, mediaType, caption);
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await ctx.reply(result.text, { parse_mode: "Markdown" }).catch(async () => {
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await ctx.reply(result.text);
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});
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audit.message({
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userId,
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username,
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text: `[IMAGE] ${caption}`,
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response: result.text,
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durationMs: Date.now() - startTime,
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});
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} catch (err) {
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const errorMsg = err instanceof Error ? err.message : String(err);
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audit.error({
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error: `Failed to analyze image: ${errorMsg}`,
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metadata: { userId, username },
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});
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await ctx.reply("Sorry, I couldn't analyze that image. Please try again.");
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}
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});
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// Handle documents
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