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55 lines
1.5 KiB
Markdown
55 lines
1.5 KiB
Markdown
# Logging to SQLite
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`llm` can log all prompts and responses to a SQLite database.
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First, create a database in the correct location. You can do that using the `llm init-db` command:
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```bash
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llm init-db
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```
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This creates a database in a directory on your computer. You can find the location of that database using the `llm logs path` command:
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```bash
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llm logs path
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```
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On my Mac that outputs:
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```
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/Users/simon/Library/Application Support/io.datasette.llm/log.db
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```
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This will differ for other operating systems.
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(You can customize the location of this file by setting a path in the `LLM_LOG_PATH` environment variable.)
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Once that SQLite database has been created any prompts you run will be logged to that database.
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To avoid logging a prompt, pass `--no-log` or `-n` to the command:
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```bash
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llm 'Ten names for cheesecakes' -n
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```
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## Viewing the logs
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You can view the logs using the `llm logs` command:
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```bash
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llm logs
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```
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This will output the three most recent logged items as a JSON array of objects.
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Add `-n 10` to see the ten most recent items:
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```bash
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llm logs -n 10
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```
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Or `-n 0` to see everything that has ever been logged:
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```bash
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llm logs -n 0
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```
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You can truncate the display of the prompts and responses using the `-t/--truncate` option:
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```bash
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llm logs -n 5 -t
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```
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This is useful for finding a conversation that you would like to continue.
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You can also use [Datasette](https://datasette.io/) to browse your logs like this:
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```bash
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datasette "$(llm logs path)"
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```
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