feat(aggregation): Implement sub-agent summarization pass

src/ai_client.py

@@ -2450,3 +2450,52 @@ def get_history_bleed_stats(md_content: Optional[str] = None) -> dict[str, Any]:
   "percentage": 0,
  })
 
+def run_subagent_summarization(file_path: str, content: str, is_code: bool, outline: str) -> str:
+ """Performs a stateless summarization request using a sub-agent prompt."""
+ prompt_tmpl = mma_prompts.TIER4_SUMMARIZE_CODE_PROMPT if is_code else mma_prompts.TIER4_SUMMARIZE_TEXT_PROMPT
+ prompt = prompt_tmpl.format(file_path=file_path, outline=outline, content=content)
+ if _provider == "gemini":
+  _ensure_gemini_client()
+  if _gemini_client:
+   resp = _gemini_client.models.generate_content(
+    model=_model,
+    contents=prompt,
+    config=types.GenerateContentConfig(
+     temperature=0.0,
+     max_output_tokens=1024,
+    )
+   )
+   return resp.text or ""
+ elif _provider == "anthropic":
+  _ensure_anthropic_client()
+  if _anthropic_client:
+   resp = _anthropic_client.messages.create(
+    model=_model,
+    max_tokens=1024,
+    messages=[{"role": "user", "content": prompt}]
+   )
+   return "".join([b.text for b in resp.content if hasattr(b, "text") and b.text])
+ elif _provider == "deepseek":
+  creds = _load_credentials()
+  api_key = creds.get("deepseek", {}).get("api_key")
+  if not api_key: return "ERROR: DeepSeek API key missing"
+  headers = {"Authorization": f"Bearer {api_key}", "Content-Type": "application/json"}
+  payload = {
+   "model": _model,
+   "messages": [{"role": "user", "content": prompt}],
+   "temperature": 0.0,
+  }
+  try:
+   r = requests.post("https://api.deepseek.com/chat/completions", headers=headers, json=payload, timeout=60)
+   r.raise_for_status()
+   return r.json()["choices"][0]["message"]["content"]
+  except Exception as e:
+   return f"ERROR: DeepSeek summarization failed: {e}"
+ elif _provider == "gemini_cli":
+  # Using the adapter for a one-off call
+  from src.gemini_cli_adapter import GeminiCliAdapter
+  adapter = GeminiCliAdapter(binary_path="gemini")
+  resp_data = adapter.send(prompt, model=_model)
+  return resp_data.get("text", "")
+ return "ERROR: Unsupported provider for sub-agent summarization"
+