fix

Author: Fosol

services/net/auto-clipper/Config/AutoClipperOptions.cs

@@ -122,11 +122,6 @@ public class AutoClipperOptions : ServiceOptions
     /// </summary>
     public int LlmPromptCharacterLimit { get; set; } = 0;
 
-    /// <summary>
-    /// get/set - The LLM temperature.
-    /// </summary>
-    public double LlmTemperature { get; set; } = 0.1;
-
     /// <summary>
     /// get/set - The LLM boundary score threshold.
     /// </summary>

services/net/auto-clipper/Config/StationProfile.cs

@@ -27,6 +27,7 @@ public class StationTextProfile
     public Dictionary<string, string> KeywordCategories { get; set; } = new();
     public bool LlmSegmentation { get; set; } = true;
     public string LlmModel { get; set; } = string.Empty;
+    public float? LlmTemperature { get; set; }
     public string LlmPrompt { get; set; } = string.Empty;
     public string? SystemPrompt { get; set; }
     public bool? LlmDiarization { get; set; } = null;

services/net/auto-clipper/Config/Stations/CKNW.yml

@@ -19,6 +19,7 @@ text:
     "(?i)coming up": Promo
   llm_segmentation: true
   llm_model: gpt-5.1-chat
+  llm_temperature: 1
   system_prompt: |
     You are a Broadcast Structure Parser. Your ONLY job is to detect segment transitions.
     Output MUST be a single, raw JSON object.

services/net/auto-clipper/LLM/ClipSegmentationService.cs

@@ -5,6 +5,7 @@
 using System.Text.RegularExpressions;
 using Microsoft.Extensions.Logging;
 using Microsoft.Extensions.Options;
+using TNO.Core.Exceptions;
 using TNO.Core.Extensions;
 using TNO.Services.AutoClipper.Azure;
 using TNO.Services.AutoClipper.Config;
@@ -71,7 +72,7 @@ public async Task<IReadOnlyList<ClipDefinition>> GenerateClipsAsync(IReadOnlyLis
             var payload = new
             {
                 model = string.IsNullOrWhiteSpace(settings?.ModelOverride) ? _options.LlmDefaultModel : settings!.ModelOverride!,
-                temperature = _options.LlmTemperature,
+                temperature = settings!.TemperatureOverride,
                 messages = new object[]
                 {
                     new { role = "system", content = systemPrompt },
@@ -87,16 +88,25 @@ public async Task<IReadOnlyList<ClipDefinition>> GenerateClipsAsync(IReadOnlyLis
 
             using var response = await _httpClient.SendAsync(request, cancellationToken);
             var body = await response.Content.ReadAsStringAsync(cancellationToken);
-            response.EnsureSuccessStatusCode();
 
-            var clipDefinitions = ParseResponse(body, transcript, settings, heuristicHits);
-            if (clipDefinitions.Count == 0)
+            if (response.IsSuccessStatusCode)
             {
-                _logger.LogWarning("LLM segmentation did not return any clips.");
+
+                var clipDefinitions = ParseResponse(body, transcript, settings, heuristicHits);
+                if (clipDefinitions.Count == 0)
+                {
+                    _logger.LogWarning("LLM segmentation did not return any clips.");
+                    return [];
+                }
+
+                return clipDefinitions;
+            }
+            else
+            {
+                var responseException = new HttpClientRequestException(response);
+                _logger.LogError(responseException, "Failed to segment transcript with LLM. Error: {Details}", body);
                 return [];
             }
-
-            return clipDefinitions;
         }
         catch (Exception ex)
         {

services/net/auto-clipper/LLM/ClipSegmentationSettings.cs

@@ -1,11 +1,10 @@
-using System.Collections.Generic;
-
 namespace TNO.Services.AutoClipper.LLM;
 
 public class ClipSegmentationSettings
 {
     public string? PromptOverride { get; set; }
     public string? ModelOverride { get; set; }
+    public float? TemperatureOverride { get; set; }
     public string? SystemPrompt { get; set; }
     public int? PromptCharacterLimit { get; set; }
     public int? MaxStories { get; set; }

services/net/auto-clipper/Pipeline/ClipProcessingPipeline.cs

@@ -58,6 +58,7 @@ private static ClipSegmentationSettings BuildSegmentationSettings(StationProfile
         {
             PromptOverride = string.IsNullOrWhiteSpace(profile.Text.LlmPrompt) ? null : profile.Text.LlmPrompt,
             ModelOverride = string.IsNullOrWhiteSpace(profile.Text.LlmModel) ? null : profile.Text.LlmModel,
+            TemperatureOverride = profile.Text.LlmTemperature,
             SystemPrompt = string.IsNullOrWhiteSpace(profile.Text.SystemPrompt) ? null : profile.Text.SystemPrompt,
             PromptCharacterLimit = profile.Text.PromptCharacterLimit,
             MaxStories = profile.Text.MaxStories,

services/net/auto-clipper/appsettings.json

@@ -60,7 +60,6 @@
     "LlmApiVersion": "",
     "LlmPrompt": "",
     "LlmPromptCharacterLimit": 0,
-    "LlmTemperature": 0.2,
     "StationConfigPath": "Config/Stations"
   },
   "CHES": {

tools/auto-clipper-harness/Program.cs

@@ -298,6 +298,7 @@ static ClipSegmentationSettings BuildSegmentationSettings(StationProfile profile
     {
         PromptOverride = string.IsNullOrWhiteSpace(profile.Text.LlmPrompt) ? null : profile.Text.LlmPrompt,
         ModelOverride = string.IsNullOrWhiteSpace(profile.Text.LlmModel) ? null : profile.Text.LlmModel,
+        TemperatureOverride = profile.Text.LlmTemperature,
         SystemPrompt = string.IsNullOrWhiteSpace(profile.Text.SystemPrompt) ? null : profile.Text.SystemPrompt,
         PromptCharacterLimit = profile.Text.PromptCharacterLimit,
         MaxStories = profile.Text.MaxStories,

tools/scripts/gen-env-files.sh

@@ -569,13 +569,14 @@ Kafka__BootstrapServers=host.docker.internal:$portKafkaBrokerAdvertisedExternal
 Service__AzureSpeechKey={ENTER A VALID AZURE KEY}
 Service__AzureSpeechRegion=westus
 
+Service__AzureSpeechStorageConnectionString={Connection String}
+Service__AzureSpeechStorageContainer=batch-transcripts
+
 # Configure Azure OpenAI/Foundary LLM Service
 Service__LlmApiUrl=https://mmiopenai.cognitiveservices.azure.com
 Service__LlmApiKey={ENTER A VALID AZURE KEY}
-Service__LlmModel=
-Service__LlmDeployment=gpt-4o-mini
-Service__LlmPrompt=
-Service__LlmApiVersion=2025-01-01-preview" >> ./services/net/auto-clipper/.env
+Service__LlmDefaultModel=gpt-5.1-chat
+Service__LlmPrompt=" >> ./services/net/auto-clipper/.env
     echo "./services/net/auto-clipper/.env created"
 fi