fix: 修复 secrets.yaml 路径错误导致 LLM 无法认证 - Closes #15

根因: SECRETS_YAML 指向不存在的路径 (projects/workspace-document-analyzer/...)
修复: 改为多路径搜索 ~/.openclaw/config/secrets.yaml 等。
配套: call_llm 增加响应内容诊断日志。

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>

skills/ir_generation_skill/step1_semantic_index.py

@@ -548,11 +548,20 @@ def call_llm(prompt: str, max_retries: int = 2,
     Args:
         temperature: Override config.TEMPERATURE. If None, uses config default.
     """
-    client = config.llm_client()
+    import sys as _sys
+
+    try:
+        client = config.llm_client()
+    except Exception as e:
+        print(f"  LLM 客户端初始化失败: {e}", file=_sys.stderr)
+        print(f"  请检查: IR_PROVIDER={config.LLM_PROVIDER}, secrets.yaml 或环境变量", file=_sys.stderr)
+        raise
+
     temp = temperature if temperature is not None else config.TEMPERATURE
 
     for attempt in range(max_retries + 1):
-        print(f"  LLM 调用 T={temp} (尝试 {attempt + 1}/{max_retries + 1})...", flush=True)
+        print(f"  LLM 调用 model={config.MODEL_NAME} T={temp} "
+              f"(尝试 {attempt + 1}/{max_retries + 1})...", flush=True)
         try:
             resp = client.chat.completions.create(
                 model=config.MODEL_NAME,
@@ -568,17 +577,31 @@ def call_llm(prompt: str, max_retries: int = 2,
             )
             content = resp.choices[0].message.content
             if content is None:
-                raise RuntimeError("LLM returned empty response")
+                raise RuntimeError(
+                    "LLM 返回空响应 (content=None)。可能是 API 配额不足或模型不可用。"
+                )
+
+            # Log response length and first characters for diagnostics
+            print(f"  响应长度: {len(content)} 字符", flush=True)
 
             json_str = extract_json_from_response(content)
-            return json.loads(json_str)
+            result = json.loads(json_str)
+            n_units = len(result.get("function_units", []))
+            n_concepts = len(result.get("concepts", []))
+            print(f"  提取: {n_concepts} 概念, {n_units} 功能单元", flush=True)
+            return result
 
         except (json.JSONDecodeError, ValueError) as e:
-            print(f"  JSON 解析失败: {e}")
+            print(f"  JSON 解析失败: {e}", file=_sys.stderr)
+            # Show a snippet of what the LLM returned for diagnosis
+            print(f"  LLM 返回内容前 500 字符: {content[:500] if content else '(None)'}", file=_sys.stderr)
             if attempt < max_retries:
                 time.sleep(2)
 
-    raise RuntimeError("无法从 LLM 响应中解析 JSON")
+    raise RuntimeError(
+        f"无法从 LLM 响应中解析 JSON（{max_retries + 1} 次尝试均失败）。"
+        f"最后返回内容前 500 字符: {content[:500] if content else '(None)'}"
+    )
 
 
 # ---- Ensemble Orchestration ----