chore: update model references to latest versions across docs and code

- Update default summarize model to `claude-sonnet-4-5`
- Replace `gpt-4o` references with `gpt-5.2` throughout docs
- Replace `gpt-4o-mini` references with `gpt-5-mini`
- Add MiniMax-M2.5 and M2.5-lightning to static models list
- Update image generation warning to suggest `gpt-5.2`
- Update OpenAI chat example script to use `gpt-5-mini`
- Update REST API docs and examples with current model names

cmd/generate_changelog/README.md

@@ -246,7 +246,7 @@ Set the model via environment variable:
 ```bash
 export FABRIC_CHANGELOG_SUMMARIZE_MODEL=claude-opus-4
 # or
-export FABRIC_CHANGELOG_SUMMARIZE_MODEL=gpt-4
+export FABRIC_CHANGELOG_SUMMARIZE_MODEL=gpt-5.2
 ```
 
 AI summaries are cached and only regenerated when:

cmd/generate_changelog/internal/changelog/summarize.go

@@ -7,7 +7,7 @@ import (
 	"strings"
 )
 
-const DefaultSummarizeModel = "claude-sonnet-4-20250514"
+const DefaultSummarizeModel = "claude-sonnet-4-5"
 const MinContentLength = 256 // Minimum content length to consider for summarization
 
 const prompt = `# ROLE

docs/notification-config.yaml

@@ -16,6 +16,6 @@ notification: true
 # notificationCommand: '/path/to/custom-notification-script.sh "$1" "$2"'
 
 # Other common settings
-model: "gpt-4o"
+model: "gpt-5.2"
 temperature: 0.7
 stream: true

docs/rest-api.md

@@ -81,7 +81,7 @@ Stream AI responses using Server-Sent Events (SSE).
     {
       "userInput": "Explain quantum computing",
       "vendor": "openai",
-      "model": "gpt-4o",
+      "model": "gpt-5.2",
       "patternName": "explain",
       "contextName": "",
       "strategyName": "",
@@ -103,7 +103,7 @@ Stream AI responses using Server-Sent Events (SSE).
 | ------- | ---------- | --------- | ------------- |
 | `userInput` | **Yes** | - | Your message or question |
 | `vendor` | **Yes** | - | AI provider: `openai`, `anthropic`, `gemini`, `ollama`, etc. |
-| `model` | **Yes** | - | Model name: `gpt-4o`, `claude-sonnet-4.5`, `gemini-2.0-flash-exp`, etc. |
+| `model` | **Yes** | - | Model name: `gpt-5.2`, `claude-sonnet-4.5`, `gemini-2.0-flash-exp`, etc. |
 | `patternName` | No | `""` | Pattern to apply (from `~/.config/fabric/patterns/`) |
 | `contextName` | No | `""` | Context to prepend (from `~/.config/fabric/contexts/`) |
 | `strategyName` | No | `""` | Strategy to use (from `~/.config/fabric/strategies/`) |
@@ -151,7 +151,7 @@ curl -X POST http://localhost:8080/chat \
     "prompts": [{
       "userInput": "What is Fabric?",
       "vendor": "openai",
-      "model": "gpt-4o",
+      "model": "gpt-5.2",
       "patternName": "explain"
     }]
   }'
@@ -232,9 +232,9 @@ List available AI models.
 
 ```json
 {
-  "models": ["gpt-4o", "gpt-4o-mini", "claude-sonnet-4.5", "gemini-2.0-flash-exp"],
+  "models": ["gpt-5.2", "gpt-5-mini", "claude-sonnet-4.5", "gemini-2.0-flash-exp"],
   "vendors": {
-    "openai": ["gpt-4o", "gpt-4o-mini"],
+    "openai": ["gpt-5.2", "gpt-5-mini"],
     "anthropic": ["claude-sonnet-4.5", "claude-opus-4.5"],
     "gemini": ["gemini-2.0-flash-exp", "gemini-2.0-flash-thinking-exp"]
   }
@@ -359,7 +359,7 @@ curl -X POST http://localhost:8080/chat \
     \"prompts\": [{
       \"userInput\": \"$TRANSCRIPT\",
       \"vendor\": \"openai\",
-      \"model\": \"gpt-4o\",
+      \"model\": \"gpt-5.2\",
       \"patternName\": \"youtube_summary\"
     }]
   }"
@@ -374,7 +374,7 @@ curl -s -X POST http://localhost:8080/youtube/transcript \
 jq -r '.transcript' | \
 xargs -I {} curl -X POST http://localhost:8080/chat \
   -H "Content-Type: application/json" \
-  -d "{\"prompts\":[{\"userInput\":\"{}\",\"vendor\":\"openai\",\"model\":\"gpt-4o\",\"patternName\":\"youtube_summary\"}]}"
+  -d "{\"prompts\":[{\"userInput\":\"{}\",\"vendor\":\"openai\",\"model\":\"gpt-5.2\",\"patternName\":\"youtube_summary\"}]}"
 ```
 
 #### Alternative: Using a script
@@ -398,7 +398,7 @@ curl -X POST "$API_BASE/chat" \
     \"prompts\": [{
       \"userInput\": $(echo "$TRANSCRIPT" | jq -Rs .),
       \"vendor\": \"openai\",
-      \"model\": \"gpt-4o\",
+      \"model\": \"gpt-5.2\",
       \"patternName\": \"youtube_summary\"
     }]
   }"

internal/plugins/ai/openai/openai.go

@@ -75,7 +75,7 @@ func (o *Client) SetResponsesAPIEnabled(enabled bool) {
 // checkImageGenerationCompatibility warns if the model doesn't support image generation
 func checkImageGenerationCompatibility(model string) {
 	if !supportsImageGeneration(model) {
-		fmt.Fprintf(os.Stderr, "Warning: Model '%s' does not support image generation. Supported models: %s. Consider using -m gpt-4o for image generation.\n",
+		fmt.Fprintf(os.Stderr, "Warning: Model '%s' does not support image generation. Supported models: %s. Consider using -m gpt-5.2 for image generation.\n",
 			model, strings.Join(ImageGenerationSupportedModels, ", "))
 	}
 }

internal/plugins/ai/openai/openai_image_test.go

@@ -521,7 +521,7 @@ func TestCheckImageGenerationCompatibility(t *testing.T) {
 				assert.NotEmpty(t, output, "Expected warning output for unsupported model")
 				assert.Contains(t, output, tt.expectedText, "Warning message should contain model name")
 				assert.Contains(t, output, "Supported models:", "Warning should mention supported models")
-				assert.Contains(t, output, "gpt-4o", "Warning should suggest gpt-4o")
+				assert.Contains(t, output, "gpt-5.2", "Warning should suggest gpt-5.2")
 			} else {
 				assert.Empty(t, output, "No warning expected for supported model")
 			}

internal/plugins/ai/openai_compatible/providers_config.go

@@ -194,6 +194,8 @@ func (c *Client) getStaticModels(modelsKey string) ([]string, error) {
 		}, nil
 	case "static:minimax":
 		return []string{
+			"MiniMax-M2.5",
+			"MiniMax-M2.5-lightning",
 			"MiniMax-M2",
 			"MiniMax-M2.1",
 			"MiniMax-M2.1-lightning",

internal/plugins/template/Examples/openai-chat.sh

@@ -6,7 +6,7 @@ RESPONSE=$(curl "$OPENAI_API_BASE_URL/chat/completions" \
   -s -w "\n%{http_code}" \
   -H "Content-Type: application/json" \
   -H "Authorization: Bearer $OPENAI_API_KEY" \
-  -d "{\"model\":\"gpt-4o-mini\",\"messages\":[{\"role\":\"user\",\"content\":$INPUT}]}")
+  -d "{\"model\":\"gpt-5-mini\",\"messages\":[{\"role\":\"user\",\"content\":$INPUT}]}")
 
 HTTP_CODE=$(echo "$RESPONSE" | tail -n1)
 BODY=$(echo "$RESPONSE" | sed '$d')

internal/server/docs/API_VARIABLES_EXAMPLE.md

@@ -12,7 +12,7 @@ This example demonstrates how to use pattern variables in REST API calls to the
     {
       "userInput": "Hello my name is Kayvan",
       "patternName": "translate",
-      "model": "gpt-4o",
+      "model": "gpt-5.2",
       "vendor": "openai",
       "contextName": "",
       "strategyName": "",
@@ -64,7 +64,7 @@ curl -X POST http://localhost:8080/api/chat \
       {
         "userInput": "Hello my name is Kayvan",
         "patternName": "translate",
-        "model": "gpt-4o",
+        "model": "gpt-5.2",
         "vendor": "openai",
         "variables": {
           "lang_code": "fr"
@@ -85,7 +85,7 @@ For patterns that use multiple variables:
     {
       "userInput": "Analyze this business model",
       "patternName": "custom_analysis",
-      "model": "gpt-4o",
+      "model": "gpt-5.2",
       "variables": {
         "role": "expert consultant",
         "experience": "15",