92 lines
4.6 KiB
Plaintext
92 lines
4.6 KiB
Plaintext
# agent_chat_generic.dspy - 纯通用会话（不挂任何产线插件）
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# 用于对照测试：确定通用 agent 本身的能力，隔离产线工具/技能/角色/记忆的干扰
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# generic=True 时 gateway 跳过 resolve_project，不 load_agent_config 产线能力，只用 GENERAL_TOOLS + 通用心智
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import json
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uid = await get_user()
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if not uid:
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uid = 'user-01'
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action = (params_kw or {}).get('action', 'send_message')
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if action == 'send_message':
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prompt = (params_kw or {}).get('prompt', '') or ''
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prompt = prompt.strip()
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if not prompt:
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return json.dumps({"error": "prompt 必填"}, ensure_ascii=False)
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# 停止类指令
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stop_kw = ['停止', '取消', '停下', '终止', '停', 'stop', 'cancel', 'abort']
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if prompt.strip().lower() in stop_kw:
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async def _stop():
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yield json.dumps({"content": "已停止。"}, ensure_ascii=False) + '\n'
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return await stream_response(request, _stop, 'text/plain; charset=utf-8')
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from pipeline_service.gateway import get_gateway
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gateway = get_gateway()
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# 前端模型下拉选中的模型必须透传——之前忽略导致用户选了模型仍走默认值，
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# 默认模型名与 llm 表不匹配时直接"无可用模型"卡死。
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model_id = (params_kw or {}).get('model_id', '') or ''
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# 上传文件：之前完全忽略 file 字段（上传静默丢弃）。与 agent_chat 走同一套处理：
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# 落盘到 workspace 会话目录（generic 无项目，read_file 根=WORKSPACE_BASE，相对路径可读）。
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import os
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from ahserver.filestorage import FileStorage
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from sqlor.dbpools import DBPools
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from pipeline_core.upload_tools import extract_text, resolve_upload_dir, save_uploads, build_file_context
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_uploads = []
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_fval = (params_kw or {}).get('file')
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_fpaths = _fval if isinstance(_fval, list) else ([_fval] if _fval else [])
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for _fp in _fpaths:
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try:
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_abs = FileStorage().realPath(_fp)
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_uploads.append((_abs, os.path.basename(_abs)))
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except Exception:
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pass
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if _uploads:
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try:
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_dbname = get_module_dbname('pipeline_core')
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async with DBPools().sqlorContext(_dbname) as sor:
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_udir, _rel = await resolve_upload_dir(sor, uid, '')
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_saved = save_uploads(_udir, _uploads)
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_byname = {os.path.basename(src): n for (src, _n), (n, _p) in zip(_uploads, _saved)}
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_items = []
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for _src, _name in _uploads:
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_preview, _total, _trunc = extract_text(_src, _name)
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_isbin = (not _preview and _total == 0)
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_relp = (_rel + _byname.get(_name, _name)) if _name in _byname else ''
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_items.append((_name, _relp, _preview, _total, _trunc, _isbin))
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_fctx = build_file_context(_items)
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if _fctx:
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prompt = _fctx + "\n用户指令：" + prompt
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except Exception:
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pass
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async def agent_stream():
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async for chunk in gateway.run_message("web", uid, prompt, generic=True, model_id=model_id):
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data = json.loads(chunk)
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t = data.get('type', '')
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if t == 'tool_call':
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yield json.dumps({"content": "**🔧 调用: " + data.get('tool', '') + "**\n```\n" + json.dumps(data.get('params', {}), ensure_ascii=False) + "\n```\n\n"}, ensure_ascii=False) + '\n'
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elif t == 'tool_result':
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yield json.dumps({"content": data.get('result', '') + "\n\n"}, ensure_ascii=False) + '\n'
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elif t == 'reply':
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yield json.dumps({"content": data.get('message', '')}, ensure_ascii=False) + '\n'
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elif t == 'ask_user':
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yield json.dumps({"content": "❓ " + data.get('message', '')}, ensure_ascii=False) + '\n'
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elif t == 'confirm':
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_tool = data.get('tool', '')
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_params = data.get('params', {}) or {}
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_cmd = _params.get('command', '') if isinstance(_params, dict) else ''
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yield json.dumps({"content": "⚠️ 需要你确认执行命令：`" + str(_cmd)[:120] + "`\n请回复「确认」执行、「全部确认」本会话不再询问，或「取消」放弃。"}, ensure_ascii=False) + '\n'
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elif t == 'error':
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yield json.dumps({"error": data.get('message', '')}, ensure_ascii=False) + '\n'
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else:
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yield json.dumps({"content": chunk}, ensure_ascii=False) + '\n'
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return await stream_response(request, agent_stream, 'text/plain; charset=utf-8')
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return json.dumps({"error": "Unknown action: " + str(action)}, ensure_ascii=False)
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