refactor: split pilot architecture

Remove the obsolete dashboard now that Langfuse is the analytics surface.\nIntroduce focused transport, model, and configuration modules while preserving the ai_review facade, and document the current runtime architecture.

pilot/model_client.py

@@ -0,0 +1,36 @@
+"""Model-provider adapter for the legacy Anthropic-compatible endpoint."""
+from __future__ import annotations
+
+import json
+
+try:  # Works both as `python pilot/ai_review.py` and `import pilot.model_client`.
+    from .gitea_client import request
+except ImportError:  # pragma: no cover - script-style runtime
+    from gitea_client import request
+
+
+def parse_text_blocks(content: object) -> str:
+    """Return only text blocks from an Anthropic-style response."""
+    if not isinstance(content, list):
+        return ""
+    return "\n".join(
+        block["text"]
+        for block in content
+        if isinstance(block, dict)
+        and block.get("type") == "text"
+        and isinstance(block.get("text"), str)
+    ).strip()
+
+
+def complete(base_url: str, model: str, system: str, user: str, max_tokens: int) -> str:
+    payload = {
+        "model": model,
+        "max_tokens": max_tokens,
+        "system": system,
+        "messages": [{"role": "user", "content": user}],
+    }
+    status, raw = request("POST", f"{base_url.rstrip('/')}/v1/messages", "ollama", payload)
+    if status != 200:
+        detail = raw[:500].decode("utf-8", errors="replace")
+        raise RuntimeError(f"model call failed: HTTP {status}: {detail}")
+    return parse_text_blocks(json.loads(raw).get("content", []))