shitton

src/ai/ai-runtime-target.ts

@@ -119,6 +119,8 @@ export function getDefaultModelForPurpose(provider: AiProvider, purpose: AiRunti
             }
         case AiProvider.GEMINI:
             switch (purpose) {
+                case "vision":
+                case "ocr":
                 case "outputImages":
                     return Environment.GEMINI_IMAGE_MODEL;
                 case "speechToText":

src/ai/provider-model-runtime.ts

@@ -164,14 +164,14 @@ export async function getModelCapabilities(
             case AiProvider.GEMINI: {
                 const chatLike = lowerModelName(model).startsWith("gemini-") && !isGeminiNonChatModel(model);
                 const reasoningModel = lowerModelName(model).includes("2.5") || lowerModelName(model).includes("thinking");
-                const imageTarget = resolveAiRuntimeTarget(provider, "outputImages");
+                const imageTarget = resolveAiRuntimeTarget(provider, "vision");
                 const speechTarget = resolveAiRuntimeTarget(provider, "speechToText");
                 const ttsTarget = resolveAiRuntimeTarget(provider, "textToSpeech");
 
                 return buildCapabilities({
                     chat: capability(true, target, runtimeTarget),
-                    vision: capability(chatLike, target, runtimeTarget),
-                    ocr: capability(chatLike, target, runtimeTarget),
+                    vision: capability(!!imageTarget.apiKey && !!imageTarget.model, imageTarget, runtimeTarget),
+                    ocr: capability(!!imageTarget.apiKey && !!imageTarget.model, imageTarget, runtimeTarget),
                     thinking: capability(reasoningModel, target, runtimeTarget),
                     extendedThinking: capability(reasoningModel, target, runtimeTarget),
                     tools: capability(chatLike, target, runtimeTarget),

src/ai/unified-ai-runner.gemini.ts

@@ -6,7 +6,19 @@ import {GeminiMessage} from "./gemini-chat-message";
 import {createGoogleGenAiClient} from "./ai-runtime-target";
 import {aiLog, aiLogDuration, aiLogProviderTarget, aiLogToolCall} from "../logging/ai-logger";
 
-import {AsyncIterableStream, GeminiFunctionCallLike, GeminiResponseLike, MAX_TOOL_ROUNDS, RuntimeConfigSnapshot, ToolCallData, ToolExecutionMemory, executeToolBatch, roundStatus, safeJsonParseObject, GeminiGenerationRequest} from "./unified-ai-runner.shared";
+import {
+    AsyncIterableStream,
+    executeToolBatch,
+    GeminiFunctionCallLike,
+    GeminiGenerationRequest,
+    GeminiResponseLike,
+    MAX_TOOL_ROUNDS,
+    roundStatus,
+    RuntimeConfigSnapshot,
+    safeJsonParseObject,
+    ToolCallData,
+    ToolExecutionMemory
+} from "./unified-ai-runner.shared";
 
 function collectGeminiResponseText(response: GeminiResponseLike & { text?: string }): string {
     if (typeof response.text === "string") return response.text;
@@ -88,6 +100,14 @@ export async function runGemini(
         hasToolInputFiles: !!toolContext.pythonInputFiles?.length,
     });
 
+    // TODO: 13.05.2026, Danil Nikolaev: find a better way?
+    const imageCount = messages.reduce((sum, m) => {
+        return sum + (m.parts.filter(p => "inlineData" in p && "mimeType" in p.inlineData && p.inlineData.mimeType.startsWith("image")).length)
+    }, 0);
+
+    const target = imageCount ? config.geminiImageTarget : config.geminiChatTarget;
+    const model = target.model;
+
     const toolMemory: ToolExecutionMemory = new Map();
 
     for (let round = 0; round < MAX_TOOL_ROUNDS; round++) {
@@ -99,7 +119,7 @@ export async function runGemini(
         await streamMessage.flush();
 
         const request: GeminiGenerationRequest = {
-            model: config.geminiChatTarget.model,
+            model: model,
             contents: messages,
             config: {
                 tools: getGeminiTools(),

src/ai/unified-ai-runner.shared.ts

@@ -279,6 +279,7 @@ export type RuntimeConfigSnapshot = {
     ollamaRagMaxArchiveDepth: number;
 
     geminiChatTarget: AiRuntimeTarget;
+    geminiImageTarget: AiRuntimeTarget;
 
     mistralChatTarget: AiRuntimeTarget;
 
@@ -310,6 +311,7 @@ export function snapshotRuntimeConfig(): RuntimeConfigSnapshot {
         ollamaRagMaxArchiveDepth: Environment.OLLAMA_RAG_MAX_ARCHIVE_DEPTH,
 
         geminiChatTarget: resolveAiRuntimeTarget(AiProvider.GEMINI, "chat"),
+        geminiImageTarget: resolveAiRuntimeTarget(AiProvider.GEMINI, "vision"),
 
         mistralChatTarget: resolveAiRuntimeTarget(AiProvider.MISTRAL, "chat"),
 
@@ -641,6 +643,7 @@ export async function rejectUnsupportedAttachments(
     if (!unsupported) return false;
 
     if (!kinds.has("audio")) {
+        // TODO: 13.05.2026, Danil Nikolaev: add "Regenerate" button
         await replyToMessage({
             message: msg,
             text: unsupportedAttachmentText(provider, effectiveModel, unsupported),