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Add mention of llm-web-ui to logging docs #773

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41 changes: 19 additions & 22 deletions docs/logging.md
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Expand Up @@ -190,31 +190,28 @@ You can also use [Datasette](https://datasette.io/) to browse your logs like thi
```bash
datasette "$(llm logs path)"
```

### Browsing logs using llm-web-ui

For a more LLM-oriented experience, you can use [`llm-web-ui`](https://github.com/martinklepsch/llm-web-ui) to browse your conversations and responses through a locally running web interface:

```bash
npx llm-web-ui "$(llm logs path)"
```

This launches a web UI that provides a user-friendly way to:
- View all your conversations
- Search through prompts and responses
- Filter conversations by model
- Examine detailed token usage statistics
- Navigate through conversation history

The web UI is especially helpful when working with multi-turn conversations or when you need to quickly locate specific interactions with your models.

## SQL schema

Here's the SQL schema used by the `logs.db` database:

<!-- [[[cog
import cog
from llm.migrations import migrate
import sqlite_utils
import re
db = sqlite_utils.Database(memory=True)
migrate(db)

def cleanup_sql(sql):
first_line = sql.split('(')[0]
inner = re.search(r'\((.*)\)', sql, re.DOTALL).group(1)
columns = [l.strip() for l in inner.split(',')]
return first_line + '(\n ' + ',\n '.join(columns) + '\n);'

cog.out("```sql\n")
for table in ("conversations", "responses", "responses_fts", "attachments", "prompt_attachments"):
schema = db[table].schema
cog.out(format(cleanup_sql(schema)))
cog.out("\n")
cog.out("```\n")
]]] -->
```sql
CREATE TABLE [conversations] (
[id] TEXT PRIMARY KEY,
Expand Down Expand Up @@ -257,5 +254,5 @@ CREATE TABLE [prompt_attachments] (
[attachment_id])
);
```
<!-- [[[end]]] -->

`responses_fts` configures [SQLite full-text search](https://www.sqlite.org/fts5.html) against the `prompt` and `response` columns in the `responses` table.