chore: import original project baseline

Import the pre-repair source tree as the history baseline. Runtime data (data/), virtualenvs, bytecode caches and logs are gitignored so local secrets and user state stay out of the repo.
2026-09-17 16:40:01 +08:00
commit a7412824e0
124 changed files with 26747 additions and 0 deletions
@@ -0,0 +1,85 @@
+# -*- coding: utf-8 -*-
+r"""真实 API 测试：opencode-go / deepseek-v4-flash + 完整 agent 循环（工具执行）
+运行: C:\Users\14890\miniconda3\envs\haocode\python.exe -u tests/diag_live_agent.py
+"""
+import json
+import os
+import sys
+
+sys.path.insert(0, os.path.join(os.path.dirname(__file__), ".."))
+ROOT = os.path.abspath(os.path.join(os.path.dirname(__file__), ".."))
+
+from core.agent import (Agent, AgentConfig, ModelConfig, RetryConfig)  # noqa: E402
+from core.agent.recovery import AgentRunner  # noqa: E402
+from core.agent.stream_fn import openai_stream  # noqa: E402
+from core.agent.tools import default_tools  # noqa: E402
+
+MODEL_NAME = "deepseek-v4-flash"
+
+cfg = json.load(open(os.path.join(ROOT, "data", "config.json"), encoding="utf-8"))
+prov = cfg["providers"]["opencode-go"]
+
+model = ModelConfig(
+    provider="opencode-go", name=MODEL_NAME,
+    context_window=int(prov.get("model_contexts", {}).get(MODEL_NAME, 1000000)),
+    max_tokens=4096, temperature=0.3,
+    api_key=prov["api_key"], base_url=prov["base_url"],
+)
+
+with open(os.path.join(ROOT, "SYSTEM_PROMPT.md"), encoding="utf-8") as f:
+    system_prompt = f.read()
+
+agent_cfg = AgentConfig(
+    model=model,
+    tools=default_tools(),
+    system_prompt=system_prompt,
+    tool_context={"cwd": ROOT},
+    retry=RetryConfig(max_attempts=2, base_delay_ms=1000),
+)
+agent = Agent(agent_cfg)
+agent.set_stream_fn(openai_stream)
+
+
+def show(e):
+    if e.type == "message_update" and e.assistant_message_event is not None:
+        ev = e.assistant_message_event
+        if ev.type == "text_delta":
+            print("  [正文] " + ev.text, end="", flush=True)
+        elif ev.type == "thinking_delta":
+            print("  [思考] " + ev.text, end="", flush=True)
+        elif ev.type == "toolcall_delta":
+            print(f"  [tc] {ev.tool_call_field}={ev.tool_call_delta!r}",
+                  end="", flush=True)
+    elif e.type == "tool_execution_start" and e.tool_call is not None:
+        print(f"\n  [工具开始] {e.tool_call.name}  参数={e.tool_call.arguments}")
+    elif e.type == "tool_execution_update" and e.arg:
+        print("  [工具输出] " + str(e.arg), end="", flush=True)
+    elif e.type == "tool_execution_end" and e.tool_call is not None:
+        c = e.result.content if e.result else ""
+        if not isinstance(c, str):
+            c = "".join(x.get("text", "") for x in c if isinstance(x, dict))
+        print(f"\n  [工具结束] ok={not e.is_error}  结果={c[:200]!r}")
+    elif e.type == "agent_end":
+        print(f"\n  [agent_end] stop_reason={e.stop_reason} "
+              f"error={getattr(e.error, 'message', None)}")
+
+
+agent.subscribe(show)
+runner = AgentRunner(agent)
+
+print("=" * 60)
+print(f"实时测试: {model.base_url} / {MODEL_NAME}")
+print(f"system prompt: {len(system_prompt)} 字符, tools: {len(default_tools())} 个")
+print("=" * 60)
+
+runner.run("请用 bash 工具执行命令: echo hello-from-haocode && ls，然后告诉我输出结果。")
+
+print("\n===== 最终消息链 =====")
+for m in agent.state.messages:
+    tc = f"  tool_calls={[t.name for t in m.tool_calls]}" if m.tool_calls else ""
+    print(f"- {m.role}: {(m.content or '')[:100]!r}{tc}")
+
+ok = any(m.role == "toolResult" for m in agent.state.messages)
+print("\n===== 结论:", "✅ 真实 tool_call 被发出并执行" if ok
+      else "❌ 没有工具执行（可能供应商不支持 tools API，检查是否走了文字兜底）", "=====")
+sys.exit(0 if ok else 1)