using System.Net.Http.Json;
using System.Text.Json;
using Microsoft.Extensions.Logging;
using Microsoft.Extensions.Options;
using TarninaHub.Application.Matchmaking;
namespace TarninaHub.Infrastructure.Llm;
///
/// OpenAI-compatible chat completion provider. Interchangeable behind
/// (ADR-0005). The API key is read from
/// configuration/secrets and never logged.
///
public sealed class OpenAiCompatibleLlmProvider : ILlmProvider
{
private readonly HttpClient _httpClient;
private readonly LlmSettings _settings;
private readonly ILogger _logger;
public OpenAiCompatibleLlmProvider(
HttpClient httpClient,
IOptions settings,
ILogger logger)
{
_httpClient = httpClient;
_settings = settings.Value;
_logger = logger;
}
public bool IsConfigured => _settings.IsConfigured;
public async Task CompleteAsync(
string systemPrompt,
string userPrompt,
CancellationToken cancellationToken)
{
if (!IsConfigured)
{
return null;
}
var endpoint = _settings.BaseUrl.TrimEnd('/') + "/chat/completions";
var payload = new
{
model = _settings.Model,
max_tokens = _settings.MaxTokens,
messages = new object[]
{
new { role = "system", content = systemPrompt },
new { role = "user", content = userPrompt },
},
};
try
{
using var request = new HttpRequestMessage(HttpMethod.Post, endpoint)
{
Content = JsonContent.Create(payload),
};
request.Headers.Authorization = new System.Net.Http.Headers.AuthenticationHeaderValue(
"Bearer",
_settings.ApiKey);
using var response = await _httpClient.SendAsync(request, cancellationToken);
if (!response.IsSuccessStatusCode)
{
_logger.LogWarning("LLM provider returned status {Status}.", (int)response.StatusCode);
return null;
}
var document = await response.Content.ReadFromJsonAsync(cancellationToken);
return document
.GetProperty("choices")[0]
.GetProperty("message")
.GetProperty("content")
.GetString();
}
catch (Exception exception) when (exception is not OperationCanceledException)
{
_logger.LogWarning(exception, "LLM completion failed; falling back to template rationale.");
return null;
}
}
}