Move libpanto projects to libpantograph dependency

2026-07-07T18:15:28Z

Remove the in-repo libpanto sources and binding projects from pantograph. Consume libpantograph through the Zig package URL at code.tjp.lol/libpantograph.git, including the Lua module artifact used by CLI extensions.

Load extensions via unified policy, entry/activate, rocks and paths

2026-07-01T21:37:04Z

Replace the split [tools]/[extensions] config sections and the two-stage load gate with a single model: - [extensions] is now one policy resolved across all layers. Rules from every layer are kept (not clobbered) and resolved by last-match-wins after sorting by (layer, glob specificity, deny-last), so a base layer can carve one name out of an otherwise-denied group and a higher layer's broad rule still wins. Default is allow; whitelist via deny=["**"]. - Registration is deferred: a source returns an entry {name, activate} (or a list, or the sugar tool table), is always eval'd side-effect-free, and only permitted names get activate()d. Identity is the declared name, not the filename. Collapses the old pre/post-load two-stage gate. - The loader runs two passes (eval -> shadow -> filter -> activate) with precedence project>user>base and, within a layer, rocks

libpanto fixes

2026-06-19T20:55:35Z

- ensuring stream.next() sequences are interruptible - Agent.run() takes any user message, not just chat text

some go bindings fixes and an example app

2026-06-11T19:26:12Z

example full application through the lua api

2026-06-10T23:53:46Z

expose `panto` to extensions as a require()able module, not a global

2026-06-10T15:55:05Z

event lifecycle

2026-06-09T14:52:47Z

lua /commands

2026-06-03T04:09:31Z

.panto/tools/ resolution

2026-05-27T13:59:24Z

Stream OpenAI tool_use as discrete blocks; drop BlockMeta

2026-05-27T13:02:47Z

Close each tool_use on next-index delta (and at finalize) so receivers see one start/delta/complete trio per tool, matching Anthropic. Log+drop fragments for already-closed indices. Remove BlockMeta from the Receiver interface: tool id/name can't be reliably known at onBlockStart under OpenAI's streaming model. Receivers get identity from the assembled ContentBlock at onBlockComplete. CLI renders 'tool: {args} : (name)' accordingly.

pantograph.git/examples, branch main