Hermes-agent
This commit is contained in:
+386
@@ -0,0 +1,386 @@
|
||||
# 会话存储
|
||||
|
||||
Hermes Agent 使用 SQLite 数据库(`~/.hermes/state.db`)跨 CLI 和 gateway 会话持久化会话元数据、完整消息历史及模型配置。这替代了早期的逐会话 JSONL 文件方案。
|
||||
|
||||
源文件:`hermes_state.py`
|
||||
|
||||
|
||||
## 架构概览
|
||||
|
||||
```
|
||||
~/.hermes/state.db (SQLite, WAL mode)
|
||||
├── sessions — 会话元数据、token 计数、计费信息
|
||||
├── messages — 每个会话的完整消息历史
|
||||
├── messages_fts — FTS5 虚拟表(content + tool_name + tool_calls)
|
||||
├── messages_fts_trigram — 使用 trigram tokenizer 的 FTS5 虚拟表(CJK / 子串搜索)
|
||||
├── state_meta — 键值元数据表
|
||||
└── schema_version — 单行表,跟踪迁移状态
|
||||
```
|
||||
|
||||
关键设计决策:
|
||||
- **WAL 模式**:支持并发读取 + 单写入(gateway 多平台)
|
||||
- **FTS5 虚拟表**:跨所有会话消息的快速全文搜索
|
||||
- **会话血缘**:通过 `parent_session_id` 链实现(压缩触发的会话分割)
|
||||
- **来源标记**(`cli`、`telegram`、`discord` 等):用于平台过滤
|
||||
- 批量运行器和 RL 轨迹不存储于此(独立系统)
|
||||
|
||||
|
||||
## SQLite Schema
|
||||
|
||||
### Sessions 表
|
||||
|
||||
```sql
|
||||
CREATE TABLE IF NOT EXISTS sessions (
|
||||
id TEXT PRIMARY KEY,
|
||||
source TEXT NOT NULL,
|
||||
user_id TEXT,
|
||||
model TEXT,
|
||||
model_config TEXT,
|
||||
system_prompt TEXT,
|
||||
parent_session_id TEXT,
|
||||
started_at REAL NOT NULL,
|
||||
ended_at REAL,
|
||||
end_reason TEXT,
|
||||
message_count INTEGER DEFAULT 0,
|
||||
tool_call_count INTEGER DEFAULT 0,
|
||||
input_tokens INTEGER DEFAULT 0,
|
||||
output_tokens INTEGER DEFAULT 0,
|
||||
cache_read_tokens INTEGER DEFAULT 0,
|
||||
cache_write_tokens INTEGER DEFAULT 0,
|
||||
reasoning_tokens INTEGER DEFAULT 0,
|
||||
billing_provider TEXT,
|
||||
billing_base_url TEXT,
|
||||
billing_mode TEXT,
|
||||
estimated_cost_usd REAL,
|
||||
actual_cost_usd REAL,
|
||||
cost_status TEXT,
|
||||
cost_source TEXT,
|
||||
pricing_version TEXT,
|
||||
title TEXT,
|
||||
api_call_count INTEGER DEFAULT 0,
|
||||
FOREIGN KEY (parent_session_id) REFERENCES sessions(id)
|
||||
);
|
||||
|
||||
CREATE INDEX IF NOT EXISTS idx_sessions_source ON sessions(source);
|
||||
CREATE INDEX IF NOT EXISTS idx_sessions_parent ON sessions(parent_session_id);
|
||||
CREATE INDEX IF NOT EXISTS idx_sessions_started ON sessions(started_at DESC);
|
||||
CREATE UNIQUE INDEX IF NOT EXISTS idx_sessions_title_unique
|
||||
ON sessions(title) WHERE title IS NOT NULL;
|
||||
```
|
||||
|
||||
### Messages 表
|
||||
|
||||
```sql
|
||||
CREATE TABLE IF NOT EXISTS messages (
|
||||
id INTEGER PRIMARY KEY AUTOINCREMENT,
|
||||
session_id TEXT NOT NULL REFERENCES sessions(id),
|
||||
role TEXT NOT NULL,
|
||||
content TEXT,
|
||||
tool_call_id TEXT,
|
||||
tool_calls TEXT,
|
||||
tool_name TEXT,
|
||||
timestamp REAL NOT NULL,
|
||||
token_count INTEGER,
|
||||
finish_reason TEXT,
|
||||
reasoning TEXT,
|
||||
reasoning_content TEXT,
|
||||
reasoning_details TEXT,
|
||||
codex_reasoning_items TEXT,
|
||||
codex_message_items TEXT
|
||||
);
|
||||
|
||||
CREATE INDEX IF NOT EXISTS idx_messages_session ON messages(session_id, timestamp);
|
||||
```
|
||||
|
||||
说明:
|
||||
- `tool_calls` 以 JSON 字符串存储(序列化的 tool call 对象列表)
|
||||
- `reasoning_details`、`codex_reasoning_items` 和 `codex_message_items` 以 JSON 字符串存储
|
||||
- `reasoning` 存储提供商暴露的原始推理文本
|
||||
- 时间戳为 Unix epoch 浮点数(`time.time()`)
|
||||
|
||||
### FTS5 全文搜索
|
||||
|
||||
```sql
|
||||
CREATE VIRTUAL TABLE IF NOT EXISTS messages_fts USING fts5(
|
||||
content,
|
||||
content=messages,
|
||||
content_rowid=id
|
||||
);
|
||||
```
|
||||
|
||||
FTS5 表通过三个触发器与 `messages` 表保持同步,分别在 INSERT、UPDATE 和 DELETE 时触发:
|
||||
|
||||
```sql
|
||||
CREATE TRIGGER IF NOT EXISTS messages_fts_insert AFTER INSERT ON messages BEGIN
|
||||
INSERT INTO messages_fts(rowid, content) VALUES (new.id, new.content);
|
||||
END;
|
||||
|
||||
CREATE TRIGGER IF NOT EXISTS messages_fts_delete AFTER DELETE ON messages BEGIN
|
||||
INSERT INTO messages_fts(messages_fts, rowid, content)
|
||||
VALUES('delete', old.id, old.content);
|
||||
END;
|
||||
|
||||
CREATE TRIGGER IF NOT EXISTS messages_fts_update AFTER UPDATE ON messages BEGIN
|
||||
INSERT INTO messages_fts(messages_fts, rowid, content)
|
||||
VALUES('delete', old.id, old.content);
|
||||
INSERT INTO messages_fts(rowid, content) VALUES (new.id, new.content);
|
||||
END;
|
||||
```
|
||||
|
||||
|
||||
## Schema 版本与迁移
|
||||
|
||||
当前 schema 版本:**11**
|
||||
|
||||
`schema_version` 表存储单个整数。简单的列添加由 `_reconcile_columns()` 声明式处理(对比实时列与 `SCHEMA_SQL` 并 ADD 缺失列)。版本门控链保留用于无法声明式表达的数据迁移及索引/FTS 变更:
|
||||
|
||||
| 版本 | 变更 |
|
||||
|------|------|
|
||||
| 1 | 初始 schema(sessions、messages、FTS5) |
|
||||
| 2 | 向 messages 添加 `finish_reason` 列 |
|
||||
| 3 | 向 sessions 添加 `title` 列 |
|
||||
| 4 | 在 `title` 上添加唯一索引(允许 NULL,非 NULL 必须唯一) |
|
||||
| 5 | 添加计费列:`cache_read_tokens`、`cache_write_tokens`、`reasoning_tokens`、`billing_provider`、`billing_base_url`、`billing_mode`、`estimated_cost_usd`、`actual_cost_usd`、`cost_status`、`cost_source`、`pricing_version` |
|
||||
| 6 | 向 messages 添加推理列:`reasoning`、`reasoning_details`、`codex_reasoning_items` |
|
||||
| 7 | 向 messages 添加 `reasoning_content` 列 |
|
||||
| 8 | 向 sessions 添加 `api_call_count` 列 |
|
||||
| 9 | 向 messages 添加 `codex_message_items` 列,用于 Codex Responses 消息 id/phase 重放 |
|
||||
| 10 | 添加 `messages_fts_trigram` 虚拟表(trigram tokenizer,用于 CJK / 子串搜索)并回填现有行 |
|
||||
| 11 | 重新索引 `messages_fts` 和 `messages_fts_trigram` 以覆盖 `tool_name` + `tool_calls`,从外部内容模式切换为内联模式;删除旧触发器并回填所有消息行 |
|
||||
|
||||
声明式列添加使用 `ALTER TABLE ADD COLUMN`,包裹在 try/except 中以处理列已存在的情况(幂等)。每个成功的迁移块完成后版本号递增。
|
||||
|
||||
|
||||
## 写入竞争处理
|
||||
|
||||
多个 hermes 进程(gateway + CLI 会话 + worktree agent)共享同一个 `state.db`。`SessionDB` 类通过以下方式处理写入竞争:
|
||||
|
||||
- **短 SQLite 超时**(1 秒),而非默认的 30 秒
|
||||
- **应用层重试**,带随机抖动(20–150ms,最多 15 次重试)
|
||||
- **BEGIN IMMEDIATE** 事务,在事务开始时暴露锁竞争
|
||||
- **定期 WAL checkpoint**,每 50 次成功写入执行一次(PASSIVE 模式)
|
||||
|
||||
这避免了"护卫效应"——SQLite 确定性内部退避会导致所有竞争写入者在相同间隔重试。
|
||||
|
||||
```
|
||||
_WRITE_MAX_RETRIES = 15
|
||||
_WRITE_RETRY_MIN_S = 0.020 # 20ms
|
||||
_WRITE_RETRY_MAX_S = 0.150 # 150ms
|
||||
_CHECKPOINT_EVERY_N_WRITES = 50
|
||||
```
|
||||
|
||||
|
||||
## 常用操作
|
||||
|
||||
### 初始化
|
||||
|
||||
```python
|
||||
from hermes_state import SessionDB
|
||||
|
||||
db = SessionDB() # 默认:~/.hermes/state.db
|
||||
db = SessionDB(db_path=Path("/tmp/test.db")) # 自定义路径
|
||||
```
|
||||
|
||||
### 创建和管理会话
|
||||
|
||||
```python
|
||||
# 创建新会话
|
||||
db.create_session(
|
||||
session_id="sess_abc123",
|
||||
source="cli",
|
||||
model="anthropic/claude-sonnet-4.6",
|
||||
user_id="user_1",
|
||||
parent_session_id=None, # 或用于血缘追踪的上一个会话 ID
|
||||
)
|
||||
|
||||
# 结束会话
|
||||
db.end_session("sess_abc123", end_reason="user_exit")
|
||||
|
||||
# 重新打开会话(清除 ended_at/end_reason)
|
||||
db.reopen_session("sess_abc123")
|
||||
```
|
||||
|
||||
### 存储消息
|
||||
|
||||
```python
|
||||
msg_id = db.append_message(
|
||||
session_id="sess_abc123",
|
||||
role="assistant",
|
||||
content="Here's the answer...",
|
||||
tool_calls=[{"id": "call_1", "function": {"name": "terminal", "arguments": "{}"}}],
|
||||
token_count=150,
|
||||
finish_reason="stop",
|
||||
reasoning="Let me think about this...",
|
||||
)
|
||||
```
|
||||
|
||||
### 检索消息
|
||||
|
||||
```python
|
||||
# 包含所有元数据的原始消息
|
||||
messages = db.get_messages("sess_abc123")
|
||||
|
||||
# OpenAI 对话格式(用于 API 重放)
|
||||
conversation = db.get_messages_as_conversation("sess_abc123")
|
||||
# 返回:[{"role": "user", "content": "..."}, {"role": "assistant", ...}]
|
||||
```
|
||||
|
||||
### 会话标题
|
||||
|
||||
```python
|
||||
# 设置标题(非 NULL 标题中必须唯一)
|
||||
db.set_session_title("sess_abc123", "Fix Docker Build")
|
||||
|
||||
# 按标题解析(返回血缘中最新的)
|
||||
session_id = db.resolve_session_by_title("Fix Docker Build")
|
||||
|
||||
# 自动生成血缘中的下一个标题
|
||||
next_title = db.get_next_title_in_lineage("Fix Docker Build")
|
||||
# 返回:"Fix Docker Build #2"
|
||||
```
|
||||
|
||||
|
||||
## 全文搜索
|
||||
|
||||
`search_messages()` 方法支持 FTS5 查询语法,并自动对用户输入进行清理。
|
||||
|
||||
### 基本搜索
|
||||
|
||||
```python
|
||||
results = db.search_messages("docker deployment")
|
||||
```
|
||||
|
||||
### FTS5 查询语法
|
||||
|
||||
| 语法 | 示例 | 含义 |
|
||||
|------|------|------|
|
||||
| 关键词 | `docker deployment` | 两个词均包含(隐式 AND) |
|
||||
| 引号短语 | `"exact phrase"` | 精确短语匹配 |
|
||||
| 布尔 OR | `docker OR kubernetes` | 任一词 |
|
||||
| 布尔 NOT | `python NOT java` | 排除词 |
|
||||
| 前缀 | `deploy*` | 前缀匹配 |
|
||||
|
||||
### 过滤搜索
|
||||
|
||||
```python
|
||||
# 仅搜索 CLI 会话
|
||||
results = db.search_messages("error", source_filter=["cli"])
|
||||
|
||||
# 排除 gateway 会话
|
||||
results = db.search_messages("bug", exclude_sources=["telegram", "discord"])
|
||||
|
||||
# 仅搜索用户消息
|
||||
results = db.search_messages("help", role_filter=["user"])
|
||||
```
|
||||
|
||||
### 搜索结果格式
|
||||
|
||||
每条结果包含:
|
||||
- `id`、`session_id`、`role`、`timestamp`
|
||||
- `snippet` — FTS5 生成的片段,带 `>>>match<<<` 标记
|
||||
- `context` — 匹配前后各 1 条消息(内容截断至 200 字符)
|
||||
- `source`、`model`、`session_started` — 来自父会话
|
||||
|
||||
`_sanitize_fts5_query()` 方法处理边缘情况:
|
||||
- 去除不匹配的引号和特殊字符
|
||||
- 将含连字符的词包裹在引号中(`chat-send` → `"chat-send"`)
|
||||
- 移除悬空的布尔运算符(`hello AND` → `hello`)
|
||||
|
||||
|
||||
## 会话血缘
|
||||
|
||||
会话可通过 `parent_session_id` 形成链。这发生在 gateway 中上下文压缩触发会话分割时。
|
||||
|
||||
### 查询:查找会话血缘
|
||||
|
||||
```sql
|
||||
-- 查找会话的所有祖先
|
||||
WITH RECURSIVE lineage AS (
|
||||
SELECT * FROM sessions WHERE id = ?
|
||||
UNION ALL
|
||||
SELECT s.* FROM sessions s
|
||||
JOIN lineage l ON s.id = l.parent_session_id
|
||||
)
|
||||
SELECT id, title, started_at, parent_session_id FROM lineage;
|
||||
|
||||
-- 查找会话的所有后代
|
||||
WITH RECURSIVE descendants AS (
|
||||
SELECT * FROM sessions WHERE id = ?
|
||||
UNION ALL
|
||||
SELECT s.* FROM sessions s
|
||||
JOIN descendants d ON s.parent_session_id = d.id
|
||||
)
|
||||
SELECT id, title, started_at FROM descendants;
|
||||
```
|
||||
|
||||
### 查询:带预览的最近会话
|
||||
|
||||
```sql
|
||||
SELECT s.*,
|
||||
COALESCE(
|
||||
(SELECT SUBSTR(m.content, 1, 63)
|
||||
FROM messages m
|
||||
WHERE m.session_id = s.id AND m.role = 'user' AND m.content IS NOT NULL
|
||||
ORDER BY m.timestamp, m.id LIMIT 1),
|
||||
''
|
||||
) AS preview,
|
||||
COALESCE(
|
||||
(SELECT MAX(m2.timestamp) FROM messages m2 WHERE m2.session_id = s.id),
|
||||
s.started_at
|
||||
) AS last_active
|
||||
FROM sessions s
|
||||
ORDER BY s.started_at DESC
|
||||
LIMIT 20;
|
||||
```
|
||||
|
||||
### 查询:Token 使用统计
|
||||
|
||||
```sql
|
||||
-- 按模型统计总 token 数
|
||||
SELECT model,
|
||||
COUNT(*) as session_count,
|
||||
SUM(input_tokens) as total_input,
|
||||
SUM(output_tokens) as total_output,
|
||||
SUM(estimated_cost_usd) as total_cost
|
||||
FROM sessions
|
||||
WHERE model IS NOT NULL
|
||||
GROUP BY model
|
||||
ORDER BY total_cost DESC;
|
||||
|
||||
-- token 使用量最高的会话
|
||||
SELECT id, title, model, input_tokens + output_tokens AS total_tokens,
|
||||
estimated_cost_usd
|
||||
FROM sessions
|
||||
ORDER BY total_tokens DESC
|
||||
LIMIT 10;
|
||||
```
|
||||
|
||||
|
||||
## 导出与清理
|
||||
|
||||
```python
|
||||
# 导出单个会话及其消息
|
||||
data = db.export_session("sess_abc123")
|
||||
|
||||
# 导出所有会话(含消息)为字典列表
|
||||
all_data = db.export_all(source="cli")
|
||||
|
||||
# 删除旧会话(仅删除已结束的会话)
|
||||
deleted_count = db.prune_sessions(older_than_days=90)
|
||||
deleted_count = db.prune_sessions(older_than_days=30, source="telegram")
|
||||
|
||||
# 清除消息但保留会话记录
|
||||
db.clear_messages("sess_abc123")
|
||||
|
||||
# 删除会话及所有消息
|
||||
db.delete_session("sess_abc123")
|
||||
```
|
||||
|
||||
|
||||
## 数据库位置
|
||||
|
||||
默认路径:`~/.hermes/state.db`
|
||||
|
||||
该路径由 `hermes_constants.get_hermes_home()` 推导,默认解析为 `~/.hermes/`,或 `HERMES_HOME` 环境变量的值。
|
||||
|
||||
数据库文件、WAL 文件(`state.db-wal`)和共享内存文件(`state.db-shm`)均创建于同一目录。
|
||||
Reference in New Issue
Block a user