Real-Time Stock Market Data for Hermes Agent如何为 Hermes Agent 接入实时股票市场数据

Hermes Agent can reason, remember context, schedule work, and invoke tools, but a language model's training data is not a live market feed. A market-data connection closes that freshness gap for research summaries, watchlist checks, volatility alerts, dashboard prototyping, and data-quality investigations.

The key boundary is equally important: this use case provides evidence for analysis; it does not authorize trading. Quotes can be delayed, venue-specific, consolidated, adjusted, or contractually restricted. Treat “real time” as a documented property of a feed and subscription, not a label inferred from a recent-looking number.

Hermes Agent 可以推理、记忆上下文、安排任务并调用工具，但语言模型的训练数据并不是实时行情源。接入市场数据可以弥补时效性缺口，用于生成研究摘要、检查自选股、触发波动预警、搭建看板原型和排查数据质量问题。

边界同样重要：本场景只为分析提供证据，并不授权交易。报价可能存在延迟、仅覆盖特定交易场所、采用综合行情、经过复权，或受到合同限制。因此，“实时”应当是数据源与订阅方案明确承诺的属性，而不能根据一个看似最新的数字自行判断。

Why not send a WebSocket directly into the model?

A continuous feed is application state, not conversational context. Let a stream consumer handle reconnects, ordering, deduplication, backpressure, and cache updates. Hermes should request a bounded snapshot or aggregate through a tool. This controls token use and makes calls reproducible.

为什么不把 WebSocket 直接送入模型？

持续数据流属于应用状态，不属于对话上下文。应由流消费者处理重连、排序、去重、背压和缓存更新，再由 Hermes 通过工具获取有边界的快照或聚合结果。这样既能控制 token 消耗，也便于复现每次调用。

1. Define freshness before choosing a provider

Specify asset class, exchanges, trade or quote data, maximum acceptable age, extended-hours behavior, history depth, and whether results will be displayed or redistributed. Then compare provider documentation and entitlements. A developer plan may expose a different feed from a paid production plan.

2. Build a provider-neutral adapter

Map vendor fields into one typed contract. Normalize symbol conventions, timestamps, currency, session status, corporate-action adjustments, and typed errors. Keep provider-specific fields under an optional metadata object.

3. Expose narrow read tools

Start with operations such as get_quote, get_bars, and get_market_status. Put limits on symbols, date ranges, granularity, and response size. Do not expose arbitrary URLs, arbitrary SQL, or provider administration.

4. Add the server to Hermes

Hermes's official MCP documentation supports both local stdio servers and remote HTTP endpoints. A local configuration can look like this:

1. 先定义新鲜度，再选择服务商

明确资产类别、交易所、成交或报价数据、可接受的最大时延、盘前盘后行为、历史深度，以及结果是否会展示或再分发。随后再比较服务商文档与数据权限。开发者方案与付费生产方案可能提供不同的数据源。

2. 构建与服务商无关的适配器

把供应商字段映射为统一的类型契约，规范股票代码、时间戳、币种、交易时段、公司行动复权以及类型化错误。服务商专属字段可放入可选 metadata 对象。

3. 暴露范围明确的读取工具

可从 get_quote、get_bars 与 get_market_status 等操作开始，并限制股票数量、日期范围、粒度和响应大小。不要暴露任意 URL、任意 SQL 或服务商管理功能。

4. 将服务加入 Hermes

Hermes 官方 MCP 文档支持本地 stdio 服务和远程 HTTP 端点。本地配置可采用下面的形式：

mcp_servers:
  market_data:
    command: "python"
    args: ["/opt/market-data/server.py"]
    env:
      MARKET_DATA_API_KEY: "replace-with-secret-at-deploy-time"
    timeout: 20
    enabled: true
    tools:
      enabled: ["get_quote", "get_bars", "get_market_status"]

5. Prompt for evidence, not confidence

Require Hermes to state symbol, value type, event time, receipt time, provider/feed, session, currency, and delay classification. If data is stale or the market is closed, the answer should say so before interpreting the move.

6. Test degraded states

Use recorded fixtures for deterministic tests, then run an opt-in live smoke test. Exercise rate limiting, provider timeouts, malformed payloads, symbol not found, closed sessions, stale cache, partial batches, and reconnect recovery.

5. 要求证据，而不是自信语气

要求 Hermes 明确说明股票代码、数值类型、事件时间、接收时间、服务商/数据源、交易时段、币种和延迟分类。如果数据过期或市场休市，应先说明状态，再解释价格变化。

6. 测试降级状态

确定性测试使用录制样例，再执行主动启用的实时冒烟测试。需要覆盖限流、服务商超时、异常数据包、代码不存在、休市、缓存过期、批量结果不完整以及重连恢复。