session-logs

To search conversation history in JSONL files, you can parse the logs to quickly find specific keywords or phrases across all past sessions. This allows you to easily recall and retrieve relevant interaction data.

Extracting user messages and assistant responses from session logs involves parsing the JSONL data structure. This separates individual interactions, allowing you to pull specific communication details and tool usage metrics from your sessions.

Yes, you need jq installed to analyze JSONL session logs. The Skill requires jq for parsing the JSONL files to retrieve past interactions and extract relevant communication data effectively.

The best way to index conversation history by date and size is to use a parsing tool to organize your JSONL session logs. This provides an easy navigation structure for auditing and analyzing past interactions.

Yes, you can analyze the cost and performance metrics of a specific JSONL session. By parsing the conversation history, you can extract tool usage details and performance data for individual interactions on a given date.

Using jq for parsing conversation history is effective because it directly processes JSONL files, enabling fast extraction of user messages and assistant responses. It is specifically required to query and retrieve data from these structured logs.