refactor: centralize common strings, paths, and default values into a new Constants class.
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@@ -20,7 +20,7 @@ public class GroqApiClient : ISpeechClient, ILlmClient
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_httpClient.BaseAddress = new Uri("https://api.groq.com/openai/v1/");
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}
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public async Task<string> TranscribeAsync(string filePath, string language = "", string model = "whisper-large-v3-turbo")
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public async Task<string> TranscribeAsync(string filePath, string language = "", string model = Toak.Core.Constants.Defaults.WhisperModel)
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{
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using var content = new MultipartFormDataContent();
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using var fileStream = File.OpenRead(filePath);
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@@ -29,7 +29,7 @@ public class GroqApiClient : ISpeechClient, ILlmClient
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streamContent.Headers.ContentType = new MediaTypeHeaderValue("audio/wav"); // or mpeg
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content.Add(streamContent, "file", Path.GetFileName(filePath));
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string modelToUse = string.IsNullOrWhiteSpace(model) ? "whisper-large-v3-turbo" : model;
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string modelToUse = string.IsNullOrWhiteSpace(model) ? Toak.Core.Constants.Defaults.WhisperModel : model;
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// according to docs whisper-large-v3-turbo requires the language to be provided if it is to be translated later potentially or if we need the most accurate behavior
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// Actually, if we want language param, we can pass it to either model
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@@ -56,11 +56,11 @@ public class GroqApiClient : ISpeechClient, ILlmClient
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return result?.Text ?? string.Empty;
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}
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public async Task<string> RefineTextAsync(string rawTranscript, string systemPrompt, string model = "openai/gpt-oss-20b")
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public async Task<string> RefineTextAsync(string rawTranscript, string systemPrompt, string model = Toak.Core.Constants.Defaults.LlmModel)
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{
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var requestBody = new LlamaRequest
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{
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Model = string.IsNullOrWhiteSpace(model) ? "openai/gpt-oss-20b" : model,
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Model = string.IsNullOrWhiteSpace(model) ? Toak.Core.Constants.Defaults.LlmModel : model,
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Temperature = 0.0,
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Messages = new[]
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{
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@@ -87,11 +87,11 @@ public class GroqApiClient : ISpeechClient, ILlmClient
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return result?.Choices?.FirstOrDefault()?.Message?.Content ?? string.Empty;
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}
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public async IAsyncEnumerable<string> RefineTextStreamAsync(string rawTranscript, string systemPrompt, string model = "openai/gpt-oss-20b")
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public async IAsyncEnumerable<string> RefineTextStreamAsync(string rawTranscript, string systemPrompt, string model = Toak.Core.Constants.Defaults.LlmModel)
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{
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var requestBody = new LlamaRequest
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{
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Model = string.IsNullOrWhiteSpace(model) ? "openai/gpt-oss-20b" : model,
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Model = string.IsNullOrWhiteSpace(model) ? Toak.Core.Constants.Defaults.LlmModel : model,
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Temperature = 0.0,
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Stream = true,
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Messages = new[]
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