website/docs/developer-guide/session-storage.md

# Session Storage

Hermes Agent uses a SQLite database (`~/.hermes/state.db`) to persist session
metadata, full message history, and model configuration across CLI and gateway
sessions. This replaces the earlier per-session JSONL file approach.

Source file: `hermes_state.py`


## Architecture Overview

```
~/.hermes/state.db (SQLite, WAL mode)
├── sessions          — Session metadata, token counts, billing
├── messages          — Full message history per session
├── messages_fts      — FTS5 virtual table for full-text search
└── schema_version    — Single-row table tracking migration state
```

Key design decisions:
- **WAL mode** for concurrent readers + one writer (gateway multi-platform)
- **FTS5 virtual table** for fast text search across all session messages
- **Session lineage** via `parent_session_id` chains (compression-triggered splits)
- **Source tagging** (`cli`, `telegram`, `discord`, etc.) for platform filtering
- Batch runner and RL trajectories are NOT stored here (separate systems)


## SQLite Schema

### Sessions Table

```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,
    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 Table

```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_details TEXT,
    codex_reasoning_items TEXT
);

CREATE INDEX IF NOT EXISTS idx_messages_session ON messages(session_id, timestamp);
```

Notes:
- `tool_calls` is stored as a JSON string (serialized list of tool call objects)
- `reasoning_details` and `codex_reasoning_items` are stored as JSON strings
- `reasoning` stores the raw reasoning text for providers that expose it
- Timestamps are Unix epoch floats (`time.time()`)

### FTS5 Full-Text Search

```sql
CREATE VIRTUAL TABLE IF NOT EXISTS messages_fts USING fts5(
    content,
    content=messages,
    content_rowid=id
);
```

The FTS5 table is kept in sync via three triggers that fire on INSERT, UPDATE,
and DELETE of the `messages` table:

```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 Version and Migrations

Current schema version: **6**

The `schema_version` table stores a single integer. On initialization,
`_init_schema()` checks the current version and applies migrations sequentially:

| Version | Change |
|---------|--------|
| 1 | Initial schema (sessions, messages, FTS5) |
| 2 | Add `finish_reason` column to messages |
| 3 | Add `title` column to sessions |
| 4 | Add unique index on `title` (NULLs allowed, non-NULL must be unique) |
| 5 | Add billing columns: `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 | Add reasoning columns to messages: `reasoning`, `reasoning_details`, `codex_reasoning_items` |

Each migration uses `ALTER TABLE ADD COLUMN` wrapped in try/except to handle
the column-already-exists case (idempotent). The version number is bumped after
each successful migration block.


## Write Contention Handling

Multiple hermes processes (gateway + CLI sessions + worktree agents) share one
`state.db`. The `SessionDB` class handles write contention with:

- **Short SQLite timeout** (1 second) instead of the default 30s
- **Application-level retry** with random jitter (20-150ms, up to 15 retries)
- **BEGIN IMMEDIATE** transactions to surface lock contention at transaction start
- **Periodic WAL checkpoints** every 50 successful writes (PASSIVE mode)

This avoids the "convoy effect" where SQLite's deterministic internal backoff
causes all competing writers to retry at the same intervals.

```
_WRITE_MAX_RETRIES = 15
_WRITE_RETRY_MIN_S = 0.020   # 20ms
_WRITE_RETRY_MAX_S = 0.150   # 150ms
_CHECKPOINT_EVERY_N_WRITES = 50
```


## Common Operations

### Initialize

```python
from hermes_state import SessionDB

db = SessionDB()                           # Default: ~/.hermes/state.db
db = SessionDB(db_path=Path("/tmp/test.db"))  # Custom path
```

### Create and Manage Sessions

```python
# Create a new session
db.create_session(
    session_id="sess_abc123",
    source="cli",
    model="anthropic/claude-sonnet-4.6",
    user_id="user_1",
    parent_session_id=None,  # or previous session ID for lineage
)

# End a session
db.end_session("sess_abc123", end_reason="user_exit")

# Reopen a session (clear ended_at/end_reason)
db.reopen_session("sess_abc123")
```

### Store Messages

```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...",
)
```

### Retrieve Messages

```python
# Raw messages with all metadata
messages = db.get_messages("sess_abc123")

# OpenAI conversation format (for API replay)
conversation = db.get_messages_as_conversation("sess_abc123")
# Returns: [{"role": "user", "content": "..."}, {"role": "assistant", ...}]
```

### Session Titles

```python
# Set a title (must be unique among non-NULL titles)
db.set_session_title("sess_abc123", "Fix Docker Build")

# Resolve by title (returns most recent in lineage)
session_id = db.resolve_session_by_title("Fix Docker Build")

# Auto-generate next title in lineage
next_title = db.get_next_title_in_lineage("Fix Docker Build")
# Returns: "Fix Docker Build #2"
```


## Full-Text Search

The `search_messages()` method supports FTS5 query syntax with automatic
sanitization of user input.

### Basic Search

```python
results = db.search_messages("docker deployment")
```

### FTS5 Query Syntax

| Syntax | Example | Meaning |
|--------|---------|---------|
| Keywords | `docker deployment` | Both terms (implicit AND) |
| Quoted phrase | `"exact phrase"` | Exact phrase match |
| Boolean OR | `docker OR kubernetes` | Either term |
| Boolean NOT | `python NOT java` | Exclude term |
| Prefix | `deploy*` | Prefix match |

### Filtered Search

```python
# Search only CLI sessions
results = db.search_messages("error", source_filter=["cli"])

# Exclude gateway sessions
results = db.search_messages("bug", exclude_sources=["telegram", "discord"])

# Search only user messages
results = db.search_messages("help", role_filter=["user"])
```

### Search Results Format

Each result includes:
- `id`, `session_id`, `role`, `timestamp`
- `snippet` — FTS5-generated snippet with `>>>match<<<` markers
- `context` — 1 message before and after the match (content truncated to 200 chars)
- `source`, `model`, `session_started` — from the parent session

The `_sanitize_fts5_query()` method handles edge cases:
- Strips unmatched quotes and special characters
- Wraps hyphenated terms in quotes (`chat-send` → `"chat-send"`)
- Removes dangling boolean operators (`hello AND` → `hello`)


## Session Lineage

Sessions can form chains via `parent_session_id`. This happens when context
compression triggers a session split in the gateway.

### Query: Find Session Lineage

```sql
-- Find all ancestors of a session
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;

-- Find all descendants of a session
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;
```

### Query: Recent Sessions with Preview

```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;
```

### Query: Token Usage Statistics

```sql
-- Total tokens by model
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;

-- Sessions with highest token usage
SELECT id, title, model, input_tokens + output_tokens AS total_tokens,
       estimated_cost_usd
FROM sessions
ORDER BY total_tokens DESC
LIMIT 10;
```


## Export and Cleanup

```python
# Export a single session with messages
data = db.export_session("sess_abc123")

# Export all sessions (with messages) as list of dicts
all_data = db.export_all(source="cli")

# Delete old sessions (only ended sessions)
deleted_count = db.prune_sessions(older_than_days=90)
deleted_count = db.prune_sessions(older_than_days=30, source="telegram")

# Clear messages but keep the session record
db.clear_messages("sess_abc123")

# Delete session and all messages
db.delete_session("sess_abc123")
```


## Database Location

Default path: `~/.hermes/state.db`

This is derived from `hermes_constants.get_hermes_home()` which resolves to
`~/.hermes/` by default, or the value of `HERMES_HOME` environment variable.

The database file, WAL file (`state.db-wal`), and shared-memory file
(`state.db-shm`) are all created in the same directory.