use klipy instead of tenor

src/services/ai/openrouter.ts

@@ -7,7 +7,7 @@ import type { ChatCompletionMessageParam, ChatCompletionTool } from "openai/reso
 import { config } from "../../core/config";
 import { createLogger } from "../../core/logger";
 import type { AiProvider, AiResponse, AskOptions, AskWithToolsOptions, MessageStyle } from "./types";
-import { JOEL_TOOLS, MEMORY_EXTRACTION_TOOLS, type ToolCall, type ToolContext } from "./tools";
+import { JOEL_TOOLS, MEMORY_EXTRACTION_TOOLS, getToolsForContext, type ToolCall, type ToolContext } from "./tools";
 import { executeTools } from "./tool-handlers";
 
 const logger = createLogger("AI:OpenRouter");
@@ -79,6 +79,9 @@ export class OpenRouterProvider implements AiProvider {
       { role: "user", content: prompt },
     ];
 
+    // Get the appropriate tools for this context (includes optional tools like GIF search)
+    const tools = getToolsForContext(context);
+
     let iterations = 0;
 
     while (iterations < MAX_TOOL_ITERATIONS) {
@@ -88,7 +91,7 @@ export class OpenRouterProvider implements AiProvider {
         const completion = await this.client.chat.completions.create({
           model: config.ai.model,
           messages,
-          tools: JOEL_TOOLS,
+          tools,
           tool_choice: "auto",
           max_tokens: maxTokens ?? config.ai.maxTokens,
           temperature: temperature ?? config.ai.temperature,
@@ -177,7 +180,7 @@ The user's Discord ID is: ${context.userId}`;
 
     try {
       const completion = await this.client.chat.completions.create({
-        model: config.ai.classificationModel,
+        model: config.ai.model, // Use main model - needs tool support
         messages: [
           { role: "system", content: systemPrompt },
           { role: "user", content: `Analyze this message for memorable content:\n\n"${message}"` },