feat(agents): support OpenRouter image generation models

Add support for extracting and saving generated images from OpenRouter
models that return images (like gpt-5-image-mini).

- Extract base64 images from assistant responses via extractAssistantImages()
- Save generated images using standard media store ("generated" subdir)
- Send generated images to users via message channels
- Support both direct agent responses and subagent image generation

This enables use of OpenRouter's image generation models in Moltbot
conversations and subagent tasks.

src/agents/pi-embedded-runner/run.ts

@@ -618,7 +618,7 @@ export async function runEmbeddedPiAgent(
             usage,
           };
 
-          const payloads = buildEmbeddedRunPayloads({
+          const payloads = await buildEmbeddedRunPayloads({
             assistantTexts: attempt.assistantTexts,
             toolMetas: attempt.toolMetas,
             lastAssistant: attempt.lastAssistant,

src/agents/pi-embedded-runner/run/payloads.ts

@@ -4,6 +4,7 @@ import type { ReasoningLevel, VerboseLevel } from "../../../auto-reply/thinking.
 import { isSilentReplyText, SILENT_REPLY_TOKEN } from "../../../auto-reply/tokens.js";
 import { formatToolAggregate } from "../../../auto-reply/tool-meta.js";
 import type { MoltbotConfig } from "../../../config/config.js";
+import { saveMediaBuffer } from "../../../media/store.js";
 import {
   formatAssistantErrorText,
   formatRawAssistantErrorForUi,
@@ -12,15 +13,33 @@ import {
   normalizeTextForComparison,
 } from "../../pi-embedded-helpers.js";
 import {
+  extractAssistantImages,
   extractAssistantText,
   extractAssistantThinking,
   formatReasoningMessage,
 } from "../../pi-embedded-utils.js";
 import type { ToolResultFormat } from "../../pi-embedded-subscribe.js";
 
+/**
+ * Save base64 image data from OpenRouter image generation models.
+ * Uses the standard media store with "generated" subdirectory.
+ */
+async function saveGeneratedImage(image: {
+  mimeType: string;
+  data: string;
+}): Promise<string | null> {
+  try {
+    const buffer = Buffer.from(image.data, "base64");
+    const saved = await saveMediaBuffer(buffer, image.mimeType, "generated");
+    return saved.path;
+  } catch {
+    return null;
+  }
+}
+
 type ToolMetaEntry = { toolName: string; meta?: string };
 
-export function buildEmbeddedRunPayloads(params: {
+export async function buildEmbeddedRunPayloads(params: {
   assistantTexts: string[];
   toolMetas: ToolMetaEntry[];
   lastAssistant: AssistantMessage | undefined;
@@ -31,16 +50,18 @@ export function buildEmbeddedRunPayloads(params: {
   reasoningLevel?: ReasoningLevel;
   toolResultFormat?: ToolResultFormat;
   inlineToolResultsAllowed: boolean;
-}): Array<{
-  text?: string;
-  mediaUrl?: string;
-  mediaUrls?: string[];
-  replyToId?: string;
-  isError?: boolean;
-  audioAsVoice?: boolean;
-  replyToTag?: boolean;
-  replyToCurrent?: boolean;
-}> {
+}): Promise<
+  Array<{
+    text?: string;
+    mediaUrl?: string;
+    mediaUrls?: string[];
+    replyToId?: string;
+    isError?: boolean;
+    audioAsVoice?: boolean;
+    replyToTag?: boolean;
+    replyToCurrent?: boolean;
+  }>
+> {
   const replyItems: Array<{
     text: string;
     media?: string[];
@@ -209,6 +230,21 @@ export function buildEmbeddedRunPayloads(params: {
     }
   }
 
+  // Extract and save generated images from OpenRouter image models
+  if (params.lastAssistant) {
+    const generatedImages = extractAssistantImages(params.lastAssistant);
+    for (const img of generatedImages) {
+      const filePath = await saveGeneratedImage(img);
+      if (filePath) {
+        // Add image as a separate media item
+        replyItems.push({
+          text: "",
+          media: [filePath],
+        });
+      }
+    }
+  }
+
   const hasAudioAsVoiceTag = replyItems.some((item) => item.audioAsVoice);
   return replyItems
     .map((item) => ({

src/agents/pi-embedded-utils.ts

@@ -206,6 +206,32 @@ export function extractAssistantThinking(msg: AssistantMessage): string {
   return blocks.join("\n").trim();
 }
 
+/**
+ * Extract image blocks from assistant message content.
+ * Used for OpenRouter image generation models that return images as ImageContent.
+ */
+export function extractAssistantImages(
+  msg: AssistantMessage,
+): Array<{ mimeType: string; data: string }> {
+  if (!Array.isArray(msg.content)) return [];
+  const images: Array<{ mimeType: string; data: string }> = [];
+  for (const block of msg.content) {
+    if (!block || typeof block !== "object") continue;
+    const record = block as unknown as Record<string, unknown>;
+    if (
+      record.type === "image" &&
+      typeof record.data === "string" &&
+      typeof record.mimeType === "string"
+    ) {
+      images.push({
+        mimeType: record.mimeType,
+        data: record.data,
+      });
+    }
+  }
+  return images;
+}
+
 export function formatReasoningMessage(text: string): string {
   const trimmed = text.trim();
   if (!trimmed) return "";

src/agents/subagent-announce.ts

@@ -11,6 +11,7 @@ import {
 import { normalizeMainKey } from "../routing/session-key.js";
 import { resolveQueueSettings } from "../auto-reply/reply/queue.js";
 import { callGateway } from "../gateway/call.js";
+import { saveMediaBuffer } from "../media/store.js";
 import { defaultRuntime } from "../runtime.js";
 import {
   type DeliveryContext,
@@ -20,7 +21,24 @@ import {
 } from "../utils/delivery-context.js";
 import { isEmbeddedPiRunActive, queueEmbeddedPiMessage } from "./pi-embedded.js";
 import { type AnnounceQueueItem, enqueueAnnounce } from "./subagent-announce-queue.js";
-import { readLatestAssistantReply } from "./tools/agent-step.js";
+import { readLatestAssistantReplyWithMedia } from "./tools/agent-step.js";
+
+/**
+ * Save base64 image data from subagent image generation models.
+ * Uses the standard media store with "generated" subdirectory.
+ */
+async function saveGeneratedImage(image: {
+  mimeType: string;
+  data: string;
+}): Promise<string | null> {
+  try {
+    const buffer = Buffer.from(image.data, "base64");
+    const saved = await saveMediaBuffer(buffer, image.mimeType, "generated");
+    return saved.path;
+  } catch {
+    return null;
+  }
+}
 
 function formatDurationShort(valueMs?: number) {
   if (!valueMs || !Number.isFinite(valueMs) || valueMs <= 0) return undefined;
@@ -321,6 +339,7 @@ export async function runSubagentAnnounceFlow(params: {
   try {
     const requesterOrigin = normalizeDeliveryContext(params.requesterOrigin);
     let reply = params.roundOneReply;
+    let replyImages: Array<{ mimeType: string; data: string }> | undefined;
     let outcome: SubagentRunOutcome | undefined = params.outcome;
     if (!reply && params.waitForCompletion !== false) {
       const waitMs = Math.min(params.timeoutMs, 60_000);
@@ -353,15 +372,20 @@ export async function runSubagentAnnounceFlow(params: {
       if (wait?.status === "timeout") {
         if (!outcome) outcome = { status: "timeout" };
       }
-      reply = await readLatestAssistantReply({
+      // Use the new function that also extracts images
+      const replyContent = await readLatestAssistantReplyWithMedia({
         sessionKey: params.childSessionKey,
       });
+      reply = replyContent.text;
+      replyImages = replyContent.images;
     }
 
-    if (!reply) {
-      reply = await readLatestAssistantReply({
+    if (!reply && !replyImages) {
+      const replyContent = await readLatestAssistantReplyWithMedia({
         sessionKey: params.childSessionKey,
       });
+      reply = replyContent.text;
+      replyImages = replyContent.images;
     }
 
     if (!outcome) outcome = { status: "unknown" };
@@ -373,6 +397,39 @@ export async function runSubagentAnnounceFlow(params: {
       endedAt: params.endedAt,
     });
 
+    // Handle generated images - send them directly to the user
+    const savedImagePaths: string[] = [];
+    if (replyImages && replyImages.length > 0) {
+      for (const img of replyImages) {
+        const filePath = await saveGeneratedImage(img);
+        if (filePath) {
+          savedImagePaths.push(filePath);
+        }
+      }
+      // Send images directly to the user if we have a delivery context
+      if (savedImagePaths.length > 0 && requesterOrigin?.to && requesterOrigin?.channel) {
+        try {
+          await callGateway({
+            method: "send",
+            params: {
+              to: requesterOrigin.to,
+              message: "Here's what I generated:", // Non-empty message required
+              mediaUrls: savedImagePaths,
+              channel: requesterOrigin.channel,
+              accountId: requesterOrigin.accountId,
+              idempotencyKey: crypto.randomUUID(),
+            },
+            timeoutMs: 30_000,
+          });
+          defaultRuntime.log(
+            `[subagent] Images sent: ${savedImagePaths.length} image(s) to ${requesterOrigin.to}`,
+          );
+        } catch (err) {
+          defaultRuntime.error?.(`Failed to send subagent images: ${String(err)}`);
+        }
+      }
+    }
+
     // Build status label
     const statusLabel =
       outcome.status === "ok"
@@ -385,17 +442,25 @@ export async function runSubagentAnnounceFlow(params: {
 
     // Build instructional message for main agent
     const taskLabel = params.label || params.task || "background task";
+    // If we sent images, mention it in the findings
+    const imageNote =
+      savedImagePaths.length > 0
+        ? `\n[${savedImagePaths.length} image(s) were generated and sent to the user]`
+        : "";
     const triggerMessage = [
       `A background task "${taskLabel}" just ${statusLabel}.`,
       "",
       "Findings:",
       reply || "(no output)",
+      imageNote,
       "",
       statsLine,
       "",
       "Summarize this naturally for the user. Keep it brief (1-2 sentences). Flow it into the conversation naturally.",
       "Do not mention technical details like tokens, stats, or that this was a background task.",
-      "You can respond with NO_REPLY if no announcement is needed (e.g., internal task with no user-facing result).",
+      savedImagePaths.length > 0
+        ? "The generated image(s) have already been sent to the user. Just acknowledge the completion naturally."
+        : "You can respond with NO_REPLY if no announcement is needed (e.g., internal task with no user-facing result).",
     ].join("\n");
 
     const queued = await maybeQueueSubagentAnnounce({

src/agents/tools/agent-step.ts

@@ -3,7 +3,16 @@ import crypto from "node:crypto";
 import { callGateway } from "../../gateway/call.js";
 import { INTERNAL_MESSAGE_CHANNEL } from "../../utils/message-channel.js";
 import { AGENT_LANE_NESTED } from "../lanes.js";
-import { extractAssistantText, stripToolMessages } from "./sessions-helpers.js";
+import {
+  extractAssistantText,
+  extractAssistantImages,
+  stripToolMessages,
+} from "./sessions-helpers.js";
+
+export interface AssistantReplyContent {
+  text?: string;
+  images?: Array<{ mimeType: string; data: string }>;
+}
 
 export async function readLatestAssistantReply(params: {
   sessionKey: string;
@@ -18,6 +27,29 @@ export async function readLatestAssistantReply(params: {
   return last ? extractAssistantText(last) : undefined;
 }
 
+/**
+ * Read the latest assistant reply including both text and images.
+ * Used for subagent announce flow where images need to be forwarded.
+ */
+export async function readLatestAssistantReplyWithMedia(params: {
+  sessionKey: string;
+  limit?: number;
+}): Promise<AssistantReplyContent> {
+  const history = (await callGateway({
+    method: "chat.history",
+    params: { sessionKey: params.sessionKey, limit: params.limit ?? 50 },
+  })) as { messages?: unknown[] };
+  const filtered = stripToolMessages(Array.isArray(history?.messages) ? history.messages : []);
+  const last = filtered.length > 0 ? filtered[filtered.length - 1] : undefined;
+  if (!last) return {};
+  const text = extractAssistantText(last);
+  const images = extractAssistantImages(last);
+  return {
+    text: text || undefined,
+    images: images.length > 0 ? images : undefined,
+  };
+}
+
 export async function runAgentStep(params: {
   sessionKey: string;
   message: string;

src/agents/tools/sessions-helpers.ts

@@ -325,3 +325,32 @@ export function extractAssistantText(message: unknown): string | undefined {
   const joined = chunks.join("").trim();
   return joined ? sanitizeUserFacingText(joined) : undefined;
 }
+
+/**
+ * Extract image blocks from an assistant message.
+ * Used for OpenRouter image generation models that return images.
+ */
+export function extractAssistantImages(
+  message: unknown,
+): Array<{ mimeType: string; data: string }> {
+  if (!message || typeof message !== "object") return [];
+  if ((message as { role?: unknown }).role !== "assistant") return [];
+  const content = (message as { content?: unknown }).content;
+  if (!Array.isArray(content)) return [];
+  const images: Array<{ mimeType: string; data: string }> = [];
+  for (const block of content) {
+    if (!block || typeof block !== "object") continue;
+    const record = block as Record<string, unknown>;
+    if (
+      record.type === "image" &&
+      typeof record.data === "string" &&
+      typeof record.mimeType === "string"
+    ) {
+      images.push({
+        mimeType: record.mimeType,
+        data: record.data,
+      });
+    }
+  }
+  return images;
+}