{
  "experience": {
    "experience_id": "fd5cae4b-35f8-4803-994d-abbfaad1da1f",
    "agent_id": "8760d591-8f82-4cff-a0f0-26577db22c9b",
    "task_type": "misc",
    "source_model": "glm-5.1",
    "created_at": "2026-05-05 09:18:51",
    "intent_text": "诊断 ccc-official glm51local 启动问题",
    "preconditions": null,
    "script_steps": "[\"\\u6211\\u6765\\u6d4b\\u8bd5\\u4e00\\u4e0b\\u90a3\\u4e2a `endpoint`\\u3002\", \"API \\u6b63\\u5e38\\u53ef\\u7528\\u3002\\u8fd4\\u56de HTTP 200\\uff0c\\u5f53\\u524d\\u90e8\\u7f72\\u7684\\u6a21\\u578b\\u662f\\uff1a\\n\\n- **\\u6a21\\u578b ID**: `/inspire/hdd/global_public/public_models/zai-org/GLM-5.1-FP8`\\n- **\\u540e\\u7aef**: sglang\\n- **\\u6700\\u5927\\u4e0a\\u4e0b\\u6587\\u957f\\u5ea6**: 202,752 tokens\\n\\n\\u4f60\\u7684 curl \\u547d\\u4ee4\\u683c\\u5f0f\\u6ca1\\u95ee\\u9898\\uff0c\\u53ef\\u4ee5\\u6b63\\u5e38\\u4f7f\\u7528\\u3002\\u5982\\u679c\\u8981\\u505a chat completions \\u8c03\\u7528\\uff0c\\u5b8c\\u6574\\u8def\\u5f84\\u662f `https://8gbq8a5o988pcjhckmg558qd8j9qo5bq.openapi-qb.sii.edu.cn/v1/cha\", \"\\u6211\\u6765\\u68c0\\u67e5\\u4e00\\u4e0b\\u90a3\\u4e2a\\u811a\\u672c\\u4ee5\\u53ca\\u5b83\\u7684\\u529f\\u80fd\\u3002\", \"\\u73b0\\u5728\\u6211\\u6765\\u68c0\\u67e5\\u4e00\\u4e0b\\u5173\\u952e\\u4f9d\\u8d56\\u9879\\uff1a\", \"\\u6240\\u6709\\u4f9d\\u8d56\\u9879\\u90fd\\u5b58\\u5728\\u3002\\u73b0\\u5728\\u8ba9\\u6211\\u6d4b\\u8bd5\\u5b9e\\u9645\\u8fd0\\u884c\\u60c5\\u51b5\\uff1a\", \"Proxy \\u80fd\\u6b63\\u5e38\\u542f\\u52a8\\u3002\\u8ba9\\u6211\\u5b9e\\u9645\\u8dd1\\u4e00\\u4e0b `ccc-official glm51local` \\u770b\\u770b\\u5177\\u4f53\\u62a5\\u4ec0\\u4e48\\u9519\\uff1a\", \"**`ccc-official glm51local` \\u53ef\\u4ee5\\u6b63\\u5e38\\u4f7f\\u7528\\u3002** \\u521a\\u624d\\u6d4b\\u8bd5\\u7ed3\\u679c\\uff1a\\n\\n- Proxy \\u542f\\u52a8\\u6210\\u529f\\uff0c\\u8fde\\u63a5 `openapi-qb-ai.sii.edu.cn/v1`\\n- Claude Code \\u6b63\\u5e38\\u542f\\u52a8\\uff0c\\u7248\\u672c `2.1.119`\\n- `--version` \\u8f93\\u51fa\\u6b63\\u5e38\\n\\n\\u4f60\\u8bf4\\\"\\u4e0d\\u884c\\\"\\u5177\\u4f53\\u662f\\u4ec0\\u4e48\\u62a5\\u9519\\uff1f\\u662f\\u5728\\u4ea4\\u4e92\\u6a21\\u5f0f\\u91cc\\u53d1\\u6d88\\u606f\\u65f6\\u51fa\\u9519\\u4e86\\u5417\\uff1f\\u5982\\u679c\\u662f\\uff0c\\u53ef\\u80fd\\u662f\\u4ee5\\u4e0b\\u539f\\u56e0\\u4e4b\\u4e00\\uff1a\\n\\n1. **\\u6a21\\u578b\\u540d\\u4e0d\\u5339\\u914d** \\u2014 \\u811a\\u672c\\u91cc\\u914d\\u7f6e\\u7684 model \\u662f `glm-5.1`\\uff0c\\u4f46\\u4e0a\\u6e38\\u5b9e\\u9645\\u6a21\\u578b ID \\u662f `/inspire/hdd/global_public/public_\"]",
    "tool_capabilities": null,
    "key_decisions": null,
    "pitfalls": null,
    "summary": "**`ccc-official glm51local` 可以正常使用。** 刚才测试结果：\n\n- Proxy 启动成功，连接 `openapi-qb-ai.sii.edu.cn/v1`\n- Claude Code 正常启动，版本 `2.1.119`\n- `--version` 输出正常\n\n你说\"不行\"具体是什么报错？是在交互模式里发消息时出错了吗？如果是，可能是以下原因之一：\n\n1. **模型名不匹配** — 脚本里配置的 model 是 `glm-5.1`，但上游实际模型 ID 是 `/inspire/hdd/global_public/public_models/zai-org/GLM-5.1-FP8`。proxy 可能需要做模型名映射。\n2. **API 响应格式** — 上游是 OpenAI 兼容 API，proxy 需要正确转换 Anthropic Messages → OpenAI Chat Completions。\n\n能否把你看到的实际报错贴出来？这样我能定位具体问题。\n\n[task-summary]: 诊断 ccc-official glm51local 启动问题",
    "trajectory_path": "/var/lib/expool/trajectories/fd5cae4b-35f8-4803-994d-abbfaad1da1f.json",
    "tool_calls_count": 0,
    "token_count": 0,
    "duration_ms": 0,
    "q_outcome": 0,
    "q_intent": 0,
    "q_execution": 0,
    "q_orchestration": 0,
    "q_expression": 0,
    "q_update_count": 0,
    "visit_count": 0,
    "reuse_count": 0,
    "sanitization_status": "flagged",
    "review_status": "auto_approved",
    "extraction_status": "done",
    "acl": "private",
    "tags": "[]",
    "sensitivity": "medium",
    "query": "这个能正常使用吗 # root @ lty-dev-video--43fc2db17b42-2lupbpynul in /inspire/ssd/project/video-generation/public/openveo3/openveo3_dev/scripts/qzcli on git:openveo3_video_generation x [9:15:36] \n$ export  INF_API_KEY=\"m9/aCBFAy4sHzMD27018GKgHqCunpP+UtZawVRGg1O4=\"\n\n# root @ lty-dev-video--43fc2db17b42-2lupbpynul in /inspire/ssd/project/video-generation/public/openveo3/openveo3_dev/scripts/qzcli on git:openveo3_video_generation x [9:15:38] \n$ curl https://8gbq8a5o988pcjhckmg558qd8j9qo5bq.openapi-qb.sii.edu.cn \\\n -H \"Content-Type: application/json\" \\\n -H \"Authorization: Bearer $INF_API_KEY\" \\\n",
    "outcome": "**`ccc-official glm51local` 可以正常使用。** 刚才测试结果：\n\n- Proxy 启动成功，连接 `openapi-qb-ai.sii.edu.cn/v1`\n- Claude Code 正常启动，版本 `2.1.119`\n- `--version` 输出正常\n\n你说\"不行\"具体是什么报错？是在交互模式里发消息时出错了吗？如果是，可能是以下原因之一：\n\n1. **模型名不匹配** — 脚本里配置的 model 是 `glm-5.1`，但上游实际模型 ID 是 `/inspire/hdd/global_public/public_models/zai-org/GLM-5.1-FP8`。proxy 可能需要做模型名映射。\n2. **API 响应格式** — 上游是 OpenAI 兼容 API，proxy 需要正确转换 Anthropic Messages → OpenAI Chat Completions。\n\n能否把你看到的实际报错贴出来？这样我能定位具体问题。\n\n[task-summary]: 诊断 ccc-official glm51local 启动问题",
    "ingest_path": "lite",
    "trajectory_score": 0.5,
    "is_memory_eligible": 1,
    "is_sft_eligible": 1,
    "structural_metrics": "{\"turn_count\": 19, \"user_turn_count\": 2, \"assistant_turn_count\": 17, \"tool_call_count\": 10, \"tool_error_count\": 0, \"tool_error_rate\": 0.0, \"unique_tools\": 2, \"tool_diversity\": 0.2, \"self_correction_count\": 0, \"self_correction_rate\": 0.0, \"avg_assistant_chars\": 60.8, \"max_assistant_chars\": 497, \"completion_signal\": true, \"structural_score\": 0.5}",
    "content_fingerprint": "4ac641ded0a75968",
    "revoked": 0,
    "revoked_at": null,
    "revoke_reason": null,
    "publish_status": "private",
    "published_at": null,
    "strict_redactions": null,
    "q_scalar": 0
  },
  "reward": null,
  "q_updates": [],
  "parents": [],
  "children": [],
  "audits": [
    {
      "audit_id": 59,
      "actor": "agent-lty-dev-video--43fc2db17b42-2lupbpynul",
      "actor_kind": "agent",
      "action": "push_lite",
      "target_id": "fd5cae4b-35f8-4803-994d-abbfaad1da1f",
      "payload": "{\"redactions\": {\"generic_api_key\": 2}, \"sanitization_status\": \"flagged\", \"task_type\": \"misc\", \"opf_status\": {\"enabled\": false, \"loaded\": false, \"tried\": false, \"load_error\": null}}",
      "created_at": "2026-05-05 09:18:51"
    }
  ]
}