Simon WillisonModify

2026-04-02 07:01:37

Release: datasette-llm 0.1a6

• The same model ID no longer needs to be repeated in both the default model and allowed models lists - setting it as a default model automatically adds it to the allowed models list. #6
• Improved documentation for Python API usage.

Tags: llm, datasette

2026-04-02 06:00:34

Release: datasette-enrichments-llm 0.2a1

• The actor who triggers an enrichment is now passed to the llm.mode(... actor=actor) method. #3

Tags: enrichments, llm, datasette

2026-04-01 11:32:16

Release: datasette-extract 0.3a0

• Now uses datasette-llm to manage model configuration, which means you can control which models are available for extraction tasks using the extract purpose and LLM model configuration. #38

Tags: llm, datasette

2026-04-01 11:28:44

Release: datasette-enrichments-llm 0.2a0

• This plugin now uses datasette-llm to configure and manage models. This means it's possible to specify which models should be made available for enrichments, using the new enrichments purpose.

Tags: llm, datasette

2026-04-01 11:24:03

Release: datasette-llm-usage 0.2a0

• Removed features relating to allowances and estimated pricing. These are now the domain of datasette-llm-accountant.
• Now depends on datasette-llm for model configuration. #3
• Full prompts and responses and tool calls can now be logged to the llm_usage_prompt_log table in the internal database if you set the new datasette-llm-usage.log_prompts plugin configuration setting.
• Redesigned the /-/llm-usage-simple-prompt page, which now requires the llm-usage-simple-prompt permission.

Tags: llm, datasette

2026-04-01 11:11:01

Release: datasette-llm 0.1a5

• The llm_prompt_context() plugin hook wrapper mechanism now tracks prompts executed within a chain as well as one-off prompts, which means it can be used to track tool call loops. #5

Tags: llm, datasette