feat: AI Agent Sandbox MCP Server v1を実装

Specifications、Design、ImplementationPlanの優先順位を整理し、単一Task実行モデル、typed option優先、設定可能なresource上限、local Ollamaを必須とするRelease Gateを文書化。

.NET 10/C# 14の5 production project、3 test project、E2E Clientを構築。typed YAML、en/ja locale、fixed/user prompt、stdioおよびloopback限定Streamable HTTP、agent_run/agent_status、Session、Ollama text/tool/Vision、TaskGraphとtoken accountingを実装。

Windows sandboxとしてfixed AppContainer、canonical/reparse検査、能力別ACL、path+SHA-256 executable approval、child-process restriction、Job Object、task journal、atomic file transaction、crash recoveryを実装。WFPのIPv4/IPv6 default denyとexact allow、dynamic session、temporary loopback exemption、管理者/BFE診断を追加。

Security/Recovery test、MCP/Ollama integration test、stdio/HTTP Operational E2E、Release Bundle生成・checksum・manifest・fresh extraction検査を追加。Requirement TraceabilityとPhase 0〜11の進捗、初回セットアップ可能なREADMEを整備。

Debug/Release/publish/objをrepository rootのbuild/へ集約し、旧project-local bin/objへの依存を除去。artifacts/とbuild/をGit管理外に設定し、clean checkoutでもsolution buildからE2E Clientまで生成可能にした。

1 files changed, 37 insertions, 0 deletions

diff --git a/src/Agent.App/Logging/JsonLinesRuntimeObserver.cs b/src/Agent.App/Logging/JsonLinesRuntimeObserver.cs
new file mode 100644
index 0000000..b7cbd26
--- /dev/null
+++ b/src/Agent.App/Logging/JsonLinesRuntimeObserver.cs
@@ -0,0 +1,37 @@
+using System.Text.Json;
+using Agent.Core.Ollama;
+using Agent.Core.Runtime;
+using Agent.Core.Tools;
+
+namespace Agent.App.Logging;
+
+public sealed class JsonLinesRuntimeObserver(string logDirectory) : IAgentRuntimeObserver
+{
+    private readonly object _sync = new();
+    private readonly string _path = Path.Combine(logDirectory, "llm.jsonl");
+
+    public void LlmRequest(Guid taskId, int iteration, IReadOnlyList<OllamaMessage> messages) => Write(new
+    {
+        timestamp = DateTimeOffset.UtcNow, task_id = taskId, event_name = "llm.request", iteration,
+        messages = messages.Select(static message => new { message.Role, message.Content, image_count = message.Images?.Count ?? 0, message.ToolName })
+    });
+
+    public void LlmResponse(Guid taskId, int iteration, OllamaResult result) => Write(new
+    {
+        timestamp = DateTimeOffset.UtcNow, task_id = taskId, event_name = "llm.response", iteration,
+        result.Content, input_tokens = result.InputTokens, output_tokens = result.OutputTokens,
+        tool_calls = result.ToolCalls?.Select(static call => call.Function.Name).ToArray() ?? []
+    });
+
+    public void ToolResult(Guid taskId, string toolName, ToolExecutionResult result) => Write(new
+    {
+        timestamp = DateTimeOffset.UtcNow, task_id = taskId, event_name = "llm.tool_result", tool_name = toolName,
+        result.Success, result.ExternalEffect, result.Output, result.FailureFingerprint
+    });
+
+    private void Write(object value)
+    {
+        string line = JsonSerializer.Serialize(value);
+        lock (_sync) File.AppendAllText(_path, line + Environment.NewLine);
+    }
+}