chore: update default LLM models

Updated the default model versions for OpenAI to gpt-5.4-mini and Gemini
to gemini-3.1-flash-lite-preview across the codebase and documentation.

Signed-off-by: Chmouel Boudjnah <chmouel@redhat.com>

Author: chmouel

config/300-repositories.yaml

@@ -398,8 +398,8 @@ spec:
                                   Model specifies which LLM model to use for this role (optional).
                                   You can specify any model supported by your provider.
                                   If not specified, provider-specific defaults are used:
-                                  - OpenAI: gpt-5-mini
-                                  - Gemini: gemini-2.5-flash-lite
+                                  - OpenAI: gpt-5.4-mini
+                                  - Gemini: gemini-3.1-flash-lite-preview
                                 type: string
                               name:
                                 description: Name is a unique identifier for this analysis role

docs/content/docs/api/settings.md

@@ -264,8 +264,8 @@ Defines the base prompt template that Pipelines-as-Code sends to the LLM.
 {{< param name="roles[].model" type="string" id="param-roles-model" >}}
 Specifies the LLM model for this role. If omitted, Pipelines-as-Code uses provider-specific defaults:
 
-- OpenAI: `gpt-5-mini`
-- Gemini: `gemini-2.5-flash-lite`
+- OpenAI: `gpt-5.4-mini`
+- Gemini: `gemini-3.1-flash-lite-preview`
 {{< /param >}}
 
 {{< param name="roles[].on_cel" type="string" id="param-roles-on-cel" >}}

docs/content/docs/guides/llm-analysis/_index.md

@@ -26,8 +26,8 @@ Additional output destinations (`check-run` and `annotation`) and structured JSO
 
 Pipelines-as-Code supports two LLM providers:
 
-- **OpenAI** -- Default model: `gpt-5-mini`
-- **Google Gemini** -- Default model: `gemini-2.5-flash-lite`
+- **OpenAI** -- Default model: `gpt-5.4-mini`
+- **Google Gemini** -- Default model: `gemini-3.1-flash-lite-preview`
 
 You can specify any model your chosen provider supports. See [Model Selection]({{< relref "/docs/guides/llm-analysis/model-and-triggers#model-selection" >}}) for guidance on choosing the right model.
 
@@ -53,7 +53,7 @@ spec:
         key: "token"
       roles:
         - name: "failure-analysis"
-          model: "gpt-5-mini"  # Optional: specify model (uses provider default if omitted)
+          model: "gpt-5.4-mini"  # Optional: specify model (uses provider default if omitted)
           prompt: |
             You are a DevOps expert. Analyze this failed pipeline and:
             1. Identify the root cause
@@ -129,3 +129,4 @@ When you set `commit_content: true`, Pipelines-as-Code includes the following fi
 - Pipelines-as-Code **intentionally excludes email addresses** from the commit context to protect personally identifiable information (PII) when sending data to external LLM providers.
 - Fields appear only if your Git provider makes them available. Some providers supply limited information (for example, Bitbucket Cloud provides only the author name).
 - Author and committer may be the same person or different (for example, when using `git commit --amend` or rebasing).
+asing).

docs/content/docs/guides/llm-analysis/model-and-triggers.md

@@ -9,8 +9,8 @@ This page explains how to choose the right LLM model for each analysis role and
 
 Each analysis role can specify a different model. Choosing the right model lets you balance cost against analysis depth. If you do not specify a model, Pipelines-as-Code uses provider-specific defaults:
 
-- **OpenAI**: `gpt-5-mini`
-- **Gemini**: `gemini-2.5-flash-lite`
+- **OpenAI**: `gpt-5.4-mini`
+- **Gemini**: `gemini-3.1-flash-lite-preview`
 
 ### Specifying Models
 
@@ -37,7 +37,7 @@ settings:
         model: "gpt-5"
         prompt: "Analyze security failures..."
 
-      # Use default model (gpt-5-mini) for general analysis
+      # Use default model (gpt-5.4-mini) for general analysis
       - name: "general-failure"
         # No model specified - uses provider default
         prompt: "Analyze this failure..."

pkg/apis/pipelinesascode/v1alpha1/types_llm.go

@@ -63,8 +63,8 @@ type AnalysisRole struct {
 	// Model specifies which LLM model to use for this role (optional).
 	// You can specify any model supported by your provider.
 	// If not specified, provider-specific defaults are used:
-	// - OpenAI: gpt-5-mini
-	// - Gemini: gemini-2.5-flash-lite
+	// - OpenAI: gpt-5.4-mini
+	// - Gemini: gemini-3.1-flash-lite-preview
 	// +optional
 	Model string `json:"model,omitempty"`
 

pkg/llm/providers/gemini/client.go

@@ -15,7 +15,7 @@ import (
 
 const (
 	defaultBaseURL = "https://generativelanguage.googleapis.com/v1beta"
-	defaultModel   = "gemini-2.5-flash-lite"
+	defaultModel   = "gemini-3.1-flash-lite-preview"
 )
 
 func init() {

pkg/llm/providers/openai/client.go

@@ -14,7 +14,7 @@ import (
 
 const (
 	defaultBaseURL = "https://api.openai.com/v1"
-	defaultModel   = "gpt-5-mini"
+	defaultModel   = "gpt-5.4-mini"
 )
 
 func init() {

pkg/llm/providers/openai/client_test.go

@@ -209,7 +209,7 @@ func TestAnalyzeSuccess(t *testing.T) {
 		ID:      "chatcmpl-123",
 		Object:  "chat.completion",
 		Created: 1234567890,
-		Model:   "gpt-5-mini",
+		Model:   "gpt-5.4-mini",
 		Choices: []openaiChoice{
 			{
 				Index: 0,
@@ -500,7 +500,7 @@ func TestAnalyzeWithContext(t *testing.T) {
 		ID:      "chatcmpl-123",
 		Object:  "chat.completion",
 		Created: 1234567890,
-		Model:   "gpt-5-mini",
+		Model:   "gpt-5.4-mini",
 		Choices: []openaiChoice{
 			{
 				Index: 0,
@@ -523,7 +523,7 @@ func TestAnalyzeWithContext(t *testing.T) {
 			var reqBody openaiRequest
 			err := json.NewDecoder(req.Body).Decode(&reqBody)
 			assert.NilError(t, err)
-			assert.Equal(t, reqBody.Model, "gpt-5-mini")
+			assert.Equal(t, reqBody.Model, "gpt-5.4-mini")
 			assert.Equal(t, len(reqBody.Messages), 1)
 
 			body, err := json.Marshal(mockResponse)
@@ -570,7 +570,7 @@ func TestRequestMarshaling(t *testing.T) {
 			var reqBody openaiRequest
 			err := json.NewDecoder(req.Body).Decode(&reqBody)
 			assert.NilError(t, err)
-			assert.Equal(t, reqBody.Model, "gpt-5-mini")
+			assert.Equal(t, reqBody.Model, "gpt-5.4-mini")
 			assert.Equal(t, len(reqBody.Messages), 1)
 			assert.Equal(t, reqBody.Messages[0].Role, "user")
 			assert.Equal(t, reqBody.MaxCompletionTokens, 100)

samples/repository-llm.yaml

@@ -5,7 +5,7 @@
 # Each role can specify a different model. You can use any model supported by your provider.
 # - Consult OpenAI docs: https://platform.openai.com/docs/models
 # - Consult Gemini docs: https://ai.google.dev/gemini-api/docs/models/gemini
-# If no model is specified, provider defaults are used (gpt-5-mini for OpenAI, gemini-2.5-flash-lite for Gemini)
+# If no model is specified, provider defaults are used (gpt-5.4-mini for OpenAI, gemini-3.1-flash-lite-preview for Gemini)
 
 apiVersion: v1
 kind: Namespace