fix: 修复 Agent 流式对话无响应和工具 schema 兼容性问题

- 在 `run_stream()` LLM 调用前 yield `think` 事件，前端即时显示"思考中..."
- 修复 tool schema 规范化逻辑：`{"function":{...}}` 格式缺少 `type` 字段导致 LLM API 拒绝
- 启动时从数据库加载自定义工具（`load_tools_from_db`），解决重启后工具丢失
- 前端 SSE 添加 60s 超时保护，任何事件类型均触发 `receivedFirstEvent`
- 流式失败自动降级到非流式 POST
- 添加 `scripts/seed_coding_agent.py` 和 `scripts/test_coding_agent.py`

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

scripts/seed_coding_agent.py

@@ -0,0 +1,361 @@
+"""创建代码编程助手：开发者工具 + Agent 配置"""
+import json
+import urllib.request
+import urllib.parse
+import uuid
+
+BASE = "http://localhost:8037"
+
+
+def req(method, path, headers=None, body=None, raw_body=None):
+    hdrs = {"Content-Type": "application/json"}
+    if headers: hdrs.update(headers)
+    data = raw_body if raw_body else (json.dumps(body).encode() if body else None)
+    r = urllib.request.Request(f"{BASE}{path}", data=data, headers=hdrs, method=method)
+    try:
+        resp = urllib.request.urlopen(r, timeout=15)
+        return resp.status, json.loads(resp.read())
+    except urllib.request.HTTPError as e:
+        return e.code, json.loads(e.read())
+    except Exception as e:
+        return 0, {"error": str(e)}
+
+
+# 1. 登录/注册
+_, _ = req("POST", "/api/v1/auth/register", body={
+    "username": "codingbot", "email": "coding@test.com", "password": "test123456"
+})
+status, login_data = req("POST", "/api/v1/auth/login",
+                          headers={"Content-Type": "application/x-www-form-urlencoded"},
+                          raw_body=urllib.parse.urlencode({"username": "codingbot", "password": "test123456"}).encode())
+if status != 200:
+    print(f"Login failed: {login_data}")
+    exit(1)
+token = login_data["access_token"]
+auth = {"Authorization": f"Bearer {token}"}
+print("OK 用户已登录")
+
+# 2. 创建开发者工具
+dev_tools = [
+    {
+        "name": "execute_code",
+        "description": "在安全沙箱中执行Python代码，返回执行结果和stdout/stderr。支持任意Python代码，可用于运行脚本、测试算法、数据处理等",
+        "category": "开发者工具",
+        "implementation_type": "code",
+        "is_public": True,
+        "function_schema": {
+            "name": "execute_code",
+            "description": "执行Python代码",
+            "parameters": {
+                "type": "object",
+                "properties": {
+                    "code": {"type": "string", "description": "要执行的Python代码"},
+                    "timeout": {"type": "integer", "description": "超时秒数", "default": 10}
+                },
+                "required": ["code"]
+            }
+        },
+        "implementation_config": {
+            "source": """def run(args):
+    import sys, io, contextlib, json, traceback, time
+    code = args.get("code", "")
+    timeout = int(args.get("timeout", 10))
+    stdout_capture = io.StringIO()
+    stderr_capture = io.StringIO()
+    result = {"stdout": "", "stderr": "", "error": None}
+    namespace = {}
+    start = time.time()
+    try:
+        with contextlib.redirect_stdout(stdout_capture), contextlib.redirect_stderr(stderr_capture):
+            exec(code, namespace)
+        result["stdout"] = stdout_capture.getvalue()
+        result["stderr"] = stderr_capture.getvalue()
+        if "__returns__" in namespace:
+            result["result"] = str(namespace["__returns__"])
+        for key in ["result", "output", "ret"]:
+            if key in namespace and key not in ("result",):
+                result["result"] = str(namespace[key])
+                break
+    except Exception as e:
+        result["error"] = traceback.format_exc()
+        result["stderr"] = stderr_capture.getvalue()
+    result["elapsed_ms"] = int((time.time() - start) * 1000)
+    return result"""
+        }
+    },
+    {
+        "name": "grep_search",
+        "description": "在项目文件中搜索文本，支持正则表达式和通配符过滤。类似 grep 命令",
+        "category": "开发者工具",
+        "implementation_type": "code",
+        "is_public": True,
+        "function_schema": {
+            "name": "grep_search",
+            "description": "搜索项目文件中的文本",
+            "parameters": {
+                "type": "object",
+                "properties": {
+                    "pattern": {"type": "string", "description": "搜索模式（支持正则）"},
+                    "file_pattern": {"type": "string", "description": "文件通配符过滤，如 *.py, *.ts, *.vue", "default": "*"},
+                    "path": {"type": "string", "description": "搜索路径（相对于项目根），默认backend", "default": "."},
+                    "max_results": {"type": "integer", "description": "最大结果数", "default": 20}
+                },
+                "required": ["pattern"]
+            }
+        },
+        "implementation_config": {
+            "source": """def run(args):
+    import os, re, fnmatch
+    pattern = args.get("pattern", "")
+    file_pattern = args.get("file_pattern", "*")
+    root = args.get("path", ".")
+    max_results = int(args.get("max_results", 20))
+    results = []
+    errors = []
+    try:
+        for dirpath, dirnames, filenames in os.walk(root):
+            dirnames[:] = [d for d in dirnames if not d.startswith(".") and d != "node_modules" and d != "__pycache__"]
+            for f in sorted(filenames):
+                if not fnmatch.fnmatch(f, file_pattern):
+                    continue
+                fpath = os.path.join(dirpath, f)
+                try:
+                    with open(fpath, "r", encoding="utf-8", errors="replace") as fh:
+                        for lineno, line in enumerate(fh, 1):
+                            if re.search(pattern, line):
+                                relpath = os.path.relpath(fpath, root)
+                                results.append(f"{relpath}:{lineno}:{line.rstrip()[:200]}")
+                                if len(results) >= max_results:
+                                    break
+                except Exception as e:
+                    errors.append(str(e))
+                if len(results) >= max_results:
+                    break
+            if len(results) >= max_results:
+                break
+    except Exception as e:
+        errors.append(str(e))
+    return {"results": results, "count": len(results), "errors": errors[:5], "truncated": len(results) >= max_results}"""
+        }
+    },
+    {
+        "name": "list_files",
+        "description": "列出项目目录中的文件和子目录，支持递归和过滤",
+        "category": "开发者工具",
+        "implementation_type": "code",
+        "is_public": True,
+        "function_schema": {
+            "name": "list_files",
+            "description": "列出目录文件",
+            "parameters": {
+                "type": "object",
+                "properties": {
+                    "path": {"type": "string", "description": "目录路径（相对于项目根）", "default": "."},
+                    "recursive": {"type": "boolean", "description": "是否递归", "default": False},
+                    "max_depth": {"type": "integer", "description": "递归最大深度", "default": 2}
+                },
+                "required": []
+            }
+        },
+        "implementation_config": {
+            "source": """def run(args):
+    import os
+    path = args.get("path", ".")
+    recursive = bool(args.get("recursive", False))
+    max_depth = int(args.get("max_depth", 2))
+    skip_dirs = {".git", "node_modules", "__pycache__", ".venv", ".claude", "dist", ".vite"}
+    skip_ext = {".pyc", ".pyo"}
+    def _walk(dirpath, depth=0):
+        items = []
+        try:
+            for name in sorted(os.listdir(dirpath)):
+                if name.startswith("."):
+                    continue
+                full = os.path.join(dirpath, name)
+                rel = os.path.relpath(full, path)
+                is_dir = os.path.isdir(full)
+                if is_dir and name in skip_dirs:
+                    continue
+                size = ""
+                if not is_dir:
+                    try: size = os.path.getsize(full)
+                    except: size = 0
+                    if size and size > 1024:
+                        size = f"{size/1024:.1f}KB"
+                    elif size:
+                        size = f"{size}B"
+                    ext = os.path.splitext(name)[1]
+                    if ext in skip_ext:
+                        continue
+                items.append({
+                    "name": rel.replace("\\\\", "/"),
+                    "type": "dir" if is_dir else "file",
+                    "size": size,
+                })
+                if is_dir and recursive and depth < max_depth:
+                    items.extend(_walk(full, depth + 1))
+        except Exception as e:
+            items.append({"name": f"[error: {e}]", "type": "error"})
+        return items
+    all_items = _walk(path)
+    dirs = [i for i in all_items if i["type"] == "dir"]
+    files = [i for i in all_items if i["type"] == "file"]
+    return {"path": path, "directories": len(dirs), "files": len(files), "items": dirs + files}"""
+        }
+    },
+    {
+        "name": "git_log",
+        "description": "查看Git提交历史，获取最近更改记录",
+        "category": "开发者工具",
+        "implementation_type": "code",
+        "is_public": True,
+        "function_schema": {
+            "name": "git_log",
+            "description": "查看Git提交历史",
+            "parameters": {
+                "type": "object",
+                "properties": {
+                    "count": {"type": "integer", "description": "最近提交数", "default": 10},
+                    "path": {"type": "string", "description": "查看特定文件的提交历史（可选）"}
+                },
+                "required": []
+            }
+        },
+        "implementation_config": {
+            "source": """def run(args):
+    import subprocess, os
+    count = int(args.get("count", 10))
+    file_path = args.get("path")
+    cmds = ["git", "log", f"--max-count={count}", "--pretty=format:%h|%an|%ad|%s", "--date=short"]
+    if file_path:
+        cmds.append("--")
+        cmds.append(file_path)
+    try:
+        result = subprocess.run(cmds, capture_output=True, text=True, timeout=15)
+        if result.returncode != 0:
+            return {"error": result.stderr[:500], "commits": []}
+        commits = []
+        for line in result.stdout.strip().split("\\n"):
+            if not line: continue
+            parts = line.split("|", 3)
+            if len(parts) == 4:
+                commits.append({"hash": parts[0], "author": parts[1], "date": parts[2], "message": parts[3]})
+        return {"commits": commits, "count": len(commits)}
+    except Exception as e:
+        return {"error": str(e), "commits": []}"""
+        }
+    },
+]
+
+created = 0
+failed = 0
+for t in dev_tools:
+    status, data = req("POST", "/api/v1/tools", headers=auth, body=t)
+    if status == 201:
+        print(f"  OK {t['name']}")
+        created += 1
+    elif status == 400 and "已存在" in str(data.get("detail", "")):
+        print(f"  - {t['name']} (already exists)")
+        created += 1
+    else:
+        print(f"  FAIL {t['name']}: {data.get('detail', data)}")
+        failed += 1
+print(f"Tools created: {created} ok, {failed} failed")
+
+# 3. 创建编程助手 Agent (with workflow config)
+_start_id = str(uuid.uuid4())
+_llm_id = str(uuid.uuid4())
+_end_id = str(uuid.uuid4())
+
+agent_config = {
+    "name": "代码编程助手",
+    "description": "专业的代码编程助手，能够理解项目结构、搜索代码、执行和测试代码",
+    "workflow_config": {
+        "nodes": [
+            {
+                "id": _start_id,
+                "type": "start",
+                "position": {"x": 100, "y": 200},
+                "data": {"label": "开始"},
+            },
+            {
+                "id": _llm_id,
+                "type": "llm",
+                "position": {"x": 350, "y": 200},
+                "data": {
+                    "label": "代码编程助手",
+                    "system_prompt": (
+                        "你是代码编程助手 CodeBot，一个专业的软件工程AI助手。\n\n"
+                        "## 核心能力\n"
+                        "你擅长阅读、理解、编写和调试代码。你可以使用各种工具来帮助用户完成编程任务。\n\n"
+                        "## 可用工具\n"
+                        "- **file_read**: 读取项目文件\n"
+                        "- **file_write**: 写入/修改文件\n"
+                        "- **execute_code**: 在沙箱中执行Python代码，快速验证逻辑\n"
+                        "- **grep_search**: 在项目中搜索代码\n"
+                        "- **list_files**: 浏览项目目录结构\n"
+                        "- **git_log**: 查看Git提交历史\n"
+                        "- **http_request**: 发送HTTP请求\n"
+                        "- **text_analyze**: 文本分析\n"
+                        "- **json_process**: JSON处理\n\n"
+                        "## 工作流程\n"
+                        "1. 先理解用户需求，必要时浏览项目结构了解代码组织\n"
+                        "2. 搜索相关代码定位需要修改或参考的位置\n"
+                        "3. 阅读相关文件完整理解上下文\n"
+                        "4. 编写或修改代码\n"
+                        "5. 使用 execute_code 测试代码逻辑\n"
+                        "6. 向用户解释修改的内容和原因\n\n"
+                        "## 回答风格\n"
+                        "- 清晰、准确、有逻辑\n"
+                        "- 展示代码时添加适当注释\n"
+                        "- 解释代码的原理和设计思路\n"
+                        "- 如果存在多种方案，对比优缺点\n"
+                        "- 指出潜在的风险和注意事项\n\n"
+                        "## 边界\n"
+                        "若用户问「你有什么能力」「你能做什么」，只介绍与编程、软件工程及上文工具相关的能力；"
+                        "不要列举写诗、泛泛日常助手等与编程无关的能力。"
+                    ),
+                    "model": "deepseek-v4-flash",
+                    "provider": "deepseek",
+                    "temperature": 0.3,
+                    "max_iterations": 30,
+                    "tools": [
+                        "file_read", "file_write", "execute_code", "grep_search",
+                        "list_files", "git_log", "http_request", "text_analyze", "json_process",
+                    ],
+                    "memory": True,
+                },
+            },
+            {
+                "id": _end_id,
+                "type": "end",
+                "position": {"x": 600, "y": 200},
+                "data": {"label": "结束"},
+            },
+        ],
+        "edges": [
+            {"id": str(uuid.uuid4()), "source": _start_id, "target": _llm_id},
+            {"id": str(uuid.uuid4()), "source": _llm_id, "target": _end_id},
+        ],
+    },
+    "budget_config": {
+        "max_llm_invocations": 100,
+        "max_tool_calls": 200,
+    },
+}
+
+status, data = req("POST", "/api/v1/agents", headers=auth, body=agent_config)
+if status in (200, 201):
+    agent_id = data.get("id", "")
+    print(f"\nOK Agent created: {agent_id}")
+else:
+    print(f"\nFAIL Agent creation: {data}")
+    # Try to update existing agent
+    print("Checking existing agents...")
+    s, agents = req("GET", "/api/v1/agents", headers=auth)
+    if s == 200 and isinstance(agents, list):
+        for a in agents:
+            if a.get("name") == "代码编程助手":
+                print(f"  Already exists: {a.get('id')}")
+
+print("\nDone! Go to Agent Management -> Code Programming Assistant -> Chat to start using it.")