fix(ai_client): Restore AI text capture and fix tool declaration in Gemini generation loop.

src/ai_client.py

@@ -107,7 +107,7 @@ _MAX_TOOL_OUTPUT_BYTES: int = 500_000
 _ANTHROPIC_CHUNK_SIZE: int = 120_000
 
 _SYSTEM_PROMPT: str = (
- "You are a helpful coding assistant with access to a PowerShell tool and MCP tools (file access: read_file, list_directory, search_files, get_file_summary, web access: web_search, fetch_url). "
+ "You are a helpful coding assistant with access to a PowerShell tool (run_powershell) and MCP tools (file access: read_file, list_directory, search_files, get_file_summary, web access: web_search, fetch_url). "
  "When calling file/directory tools, always use the 'path' parameter for the target path. "
  "When asked to create or edit files, prefer targeted edits over full rewrites. "
  "Always explain what you are doing before invoking the tool.\n\n"
@@ -764,13 +764,16 @@ def _send_gemini(md_content: str, user_message: str, base_dir: str,
          r["output"] = val
   for r_idx in range(MAX_TOOL_ROUNDS + 2):
    events.emit("request_start", payload={"provider": "gemini", "model": _model, "round": r_idx})
+   
+   # Shared config for this round
+   td = _gemini_tool_declaration() if enable_tools else None
+   config = types.GenerateContentConfig(
+    tools=[td] if td else [],
+    temperature=_temperature,
+    max_output_tokens=_max_tokens,
+   )
+
    if stream_callback:
-    # In 1.0.0, we use send_message with stream=True
-    config = types.GenerateContentConfig(
-     tools=[types.Tool(function_declarations=[types.FunctionDeclaration(**s) for s in mcp_client.get_tool_schemas()])] if enable_tools else [],
-     temperature=_temperature,
-     max_output_tokens=_max_tokens,
-    )
     resp = _gemini_chat.send_message_stream(payload, config=config)
     txt_chunks: list[str] = []
     calls = []
@@ -796,17 +799,14 @@ def _send_gemini(md_content: str, user_message: str, base_dir: str,
       }
      final_resp = chunk
     txt = "".join(txt_chunks)
+    if txt: all_text.append(txt)
     # Final validation of response object for subsequent code
     resp = final_resp 
     events.emit("response_received", payload={"provider": "gemini", "model": _model, "usage": usage, "round": r_idx})
    else:
-    config = types.GenerateContentConfig(
-     tools=[types.Tool(function_declarations=[types.FunctionDeclaration(**s) for s in mcp_client.get_tool_schemas()])] if enable_tools else [],
-     temperature=_temperature,
-     max_output_tokens=_max_tokens,
-    )
     resp = _gemini_chat.send_message(payload, config=config)
     txt = resp.text or ""
+    if txt: all_text.append(txt)
     calls = [p.function_call for c in resp.candidates if getattr(c, "content", None) for p in c.content.parts if p.function_call]
     usage = {
      "input_tokens": getattr(resp.usage_metadata, "prompt_token_count", 0),