Feature/suggestion pills

shared/types.ts

@@ -37,6 +37,8 @@ export type Content = {
   // For streaming support - shows in-progress tool calls
   toolCalls?: ToolCall[];
   thinking?: boolean;
+  // AI-generated follow-up suggestions
+  suggestions?: string[];
 };
 
 export type MeshFileType = string;
@@ -57,6 +59,7 @@ export type ParametricArtifact = {
   version: string;
   code: string;
   parameters: Parameter[];
+  suggestions?: string[];
 };
 
 export type ParameterOption = { value: string | number; label: string };

src/components/chat/ChatSection.tsx

@@ -2,13 +2,15 @@ import { useCallback, useEffect, useMemo, useRef, useState } from 'react';
 import { ScrollArea } from '@/components/ui/scroll-area';
 import { Message, Model } from '@shared/types';
 import TextAreaChat from '@/components/TextAreaChat';
+import { SuggestionPills } from '@/components/chat/SuggestionPills';
 import { AssistantMessage } from '@/components/chat/AssistantMessage';
 import { UserMessage } from '@/components/chat/UserMessage';
 import { useConversation } from '@/services/conversationService';
 import { AssistantLoading } from '@/components/chat/AssistantLoading';
 import { ChatTitle } from '@/components/chat/ChatTitle';
 import { TreeNode } from '@shared/Tree';
 import { PARAMETRIC_MODELS } from '@/lib/utils';
+import { supabase } from '@/lib/supabase';
 import {
   useIsLoading,
   useSendContentMutation,
@@ -28,7 +30,9 @@ export function ChatSection({ messages }: ChatSectionProps) {
   // Sync model selection with the conversation history (last used model)
   useEffect(() => {
     if (messages.length > 0) {
-      const lastAssistantMessage = [...messages].reverse().find((m) => m.role === 'assistant');
+      const lastAssistantMessage = [...messages]
+        .reverse()
+        .find((m) => m.role === 'assistant');
       if (lastAssistantMessage?.content?.model) {
         setModel(lastAssistantMessage.content.model);
       }
@@ -67,6 +71,75 @@ export function ChatSection({ messages }: ChatSectionProps) {
     return messages[messages.length - 1];
   }, [messages, conversation.current_message_leaf_id]);
 
+  // Generate suggestions based on the last user message
+  const [suggestions, setSuggestions] = useState<string[]>([]);
+  const lastUserMessage = useMemo(() => {
+    return [...messages].reverse().find((m) => m.role === 'user');
+  }, [messages]);
+
+  // Generate suggestions when loading completes and we have a new assistant response
+  useEffect(() => {
+    // Don't generate while loading
+    if (isLoading) {
+      setSuggestions([]);
+      return;
+    }
+
+    // Need a user message to base suggestions on
+    const userPrompt = lastUserMessage?.content?.text;
+    if (!userPrompt) {
+      setSuggestions([]);
+      return;
+    }
+
+    // Check if the last message is an assistant message with an artifact (model was generated)
+    const lastMsg = messages[messages.length - 1];
+    if (lastMsg?.role !== 'assistant' || !lastMsg?.content?.artifact) {
+      setSuggestions([]);
+      return;
+    }
+
+    // Get the generated code for context
+    const generatedCode = lastMsg.content.artifact.code;
+    const parameters = lastMsg.content.artifact.parameters;
+
+    // Generate suggestions
+    const generateSuggestions = async () => {
+      try {
+        const { data, error } = await supabase.functions.invoke(
+          'suggestion-generator',
+          {
+            body: {
+              userPrompt,
+              generatedCode,
+              parameters,
+            },
+          },
+        );
+
+        if (error) throw error;
+        if (data?.suggestions) {
+          setSuggestions(data.suggestions);
+        }
+      } catch (err) {
+        console.error('Failed to generate suggestions:', err);
+        setSuggestions([]);
+      }
+    };
+
+    generateSuggestions();
+  }, [isLoading, lastUserMessage, messages]);
+
+  const handleSuggestionSelect = useCallback(
+    (suggestion: string) => {
+      sendMessage({
+        text: suggestion,
+        model: model,
+      });
+    },
+    [model, sendMessage],
+  );
+
   // Get the current version number based on assistant messages only
   const getCurrentVersion = useCallback(
     (index: number) => {
@@ -111,6 +184,11 @@ export function ChatSection({ messages }: ChatSectionProps) {
         </div>
       </ScrollArea>
       <div className="w-full min-w-52 max-w-xl bg-transparent px-4 pb-6">
+        <SuggestionPills
+          suggestions={suggestions}
+          onSelect={handleSuggestionSelect}
+          disabled={isLoading}
+        />
         <TextAreaChat
           onSubmit={sendMessage}
           placeholder="Keep iterating with Adam..."

src/components/chat/SuggestionPills.tsx

@@ -0,0 +1,36 @@
+import { Button } from '@/components/ui/button';
+import { cn } from '@/lib/utils';
+
+interface SuggestionPillsProps {
+  suggestions: string[];
+  onSelect: (suggestion: string) => void;
+  disabled?: boolean;
+}
+
+export function SuggestionPills({
+  disabled,
+  suggestions,
+  onSelect,
+}: SuggestionPillsProps) {
+  if (!suggestions.length) return null;
+
+  return (
+    <div className="scrollbar-hide flex gap-2 overflow-x-auto pb-2 [-ms-overflow-style:none] [scrollbar-width:none] [&::-webkit-scrollbar]:hidden">
+      {suggestions.map((suggestion, index) => (
+        <Button
+          key={index}
+          variant="outline"
+          size="sm"
+          className={cn(
+            'shrink-0 rounded-full border border-adam-neutral-700 bg-adam-neutral-800 text-xs text-white hover:text-white hover:opacity-80',
+            disabled ? 'opacity-50' : '',
+          )}
+          onClick={() => onSelect(suggestion)}
+          disabled={disabled}
+        >
+          {suggestion}
+        </Button>
+      ))}
+    </div>
+  );
+}

supabase/functions/suggestion-generator/deno.json

@@ -0,0 +1,10 @@
+{
+  "imports": {
+    "@shared/": "../../../shared/"
+  },
+  "lint": {
+    "rules": {
+      "exclude": ["no-import-prefix", "no-unversioned-import"]
+    }
+  }
+}

supabase/functions/suggestion-generator/index.ts

@@ -0,0 +1,124 @@
+import 'jsr:@supabase/functions-js/edge-runtime.d.ts';
+import { corsHeaders } from '../_shared/cors.ts';
+
+const OPENROUTER_API_URL = 'https://openrouter.ai/api/v1/chat/completions';
+const OPENROUTER_API_KEY = Deno.env.get('OPENROUTER_API_KEY') ?? '';
+
+Deno.serve(async (req) => {
+  if (req.method === 'OPTIONS') {
+    return new Response('ok', { headers: corsHeaders });
+  }
+
+  if (req.method !== 'POST') {
+    return new Response('Method not allowed', { status: 405 });
+  }
+
+  try {
+    const { userPrompt, generatedCode, parameters } = await req.json();
+
+    if (!userPrompt) {
+      return new Response(JSON.stringify({ suggestions: [] }), {
+        headers: { ...corsHeaders, 'Content-Type': 'application/json' },
+      });
+    }
+
+    // Build parameter summary for context
+    const paramSummary = parameters
+      ?.map(
+        (p: { name: string; value: string | number | boolean }) =>
+          `${p.name}=${p.value}`,
+      )
+      .join(', ');
+
+    const suggestionPrompt = `You are helping a user iterate on a 3D CAD model. 
+
+USER REQUEST: "${userPrompt}"
+
+CURRENT PARAMETERS: ${paramSummary || 'none'}
+
+GENERATED CODE:
+\`\`\`openscad
+${generatedCode?.slice(0, 1500) || 'No code available'}
+\`\`\`
+
+Based on the ACTUAL model above, suggest exactly 2 specific improvements the user could make next.
+
+Your suggestions should:
+- Reference actual parameters or features in the code (e.g., if there's cup_height, suggest "Taller cup" not generic "Make bigger")
+- Be actionable modifications (2-4 words)
+- Be different from each other (one could adjust a dimension, another could add a feature)
+
+DO NOT suggest:
+- Generic things like "Add more detail" or "Improve design"
+- Exporting, rendering, or color changes
+- Things already in the model
+
+Return exactly 2 suggestions:
+<suggestion>First suggestion</suggestion>
+<suggestion>Second suggestion</suggestion>`;
+
+    const response = await fetch(OPENROUTER_API_URL, {
+      method: 'POST',
+      headers: {
+        'Content-Type': 'application/json',
+        Authorization: `Bearer ${OPENROUTER_API_KEY}`,
+        'HTTP-Referer': 'https://adam-cad.com',
+        'X-Title': 'Adam CAD',
+      },
+      body: JSON.stringify({
+        model: 'anthropic/claude-3.5-haiku',
+        max_tokens: 100,
+        messages: [
+          {
+            role: 'user',
+            content: suggestionPrompt,
+          },
+        ],
+      }),
+    });
+
+    if (!response.ok) {
+      throw new Error(`OpenRouter API error: ${response.statusText}`);
+    }
+
+    const data = await response.json();
+    let suggestions: string[] = [];
+
+    if (data.choices && data.choices[0]?.message?.content) {
+      const responseText = data.choices[0].message.content;
+      const suggestionRegex = /<suggestion>(.*?)<\/suggestion>/gi;
+      const matches = responseText.matchAll(suggestionRegex);
+
+      suggestions = Array.from(
+        new Set(
+          Array.from(matches)
+            .map(([, text]) => {
+              if (!text) return null;
+              const cleaned = text
+                .trim()
+                .replace(/[""'']/g, '')
+                .replace(/^["']|["']$/g, '')
+                .trim();
+              const words = cleaned.split(/\s+/);
+              if (words.length > 5) return null;
+              return words
+                .map(
+                  (w) => w.charAt(0).toUpperCase() + w.slice(1).toLowerCase(),
+                )
+                .join(' ');
+            })
+            .filter((s): s is string => s !== null && s.length > 0),
+        ),
+      ).slice(0, 2);
+    }
+
+    return new Response(JSON.stringify({ suggestions }), {
+      headers: { ...corsHeaders, 'Content-Type': 'application/json' },
+    });
+  } catch (error) {
+    console.error('Error generating suggestions:', error);
+    return new Response(JSON.stringify({ suggestions: [] }), {
+      headers: { ...corsHeaders, 'Content-Type': 'application/json' },
+    });
+  }
+});