This adds cache-friendly dynamic tool loading anchored to tool results. Purely additive active-tool changes are recorded with `addedToolNames`, allowing supported Anthropic and OpenAI Responses models to load tool definitions at the point they become available instead of placing them in the cached prompt prefix.
It retains safe fallback behavior for unsupported models and non-additive changes but it will wipe caches.
getShellPath() now runs the configured shellPath through the existing
normalizePath() helper, mirroring getSessionDir(). This lets shellPath
point at a home-directory-relative shell wrapper (e.g.
~/.local/bin/agent-shell-sandbox) and resolves consistently across
machines and OSes with different home directories.
refs #6458
Detect prompt cache misses per turn by comparing each assistant message's
cache reads against the previous request's prompt tokens (core/cache-stats.ts).
Significant misses emit a warning-colored transcript notice at the turn they
occur, noting idle gaps past the cache TTL and model switches when relevant.
/session gained cache statistics: a compact token/cache breakdown with hit
rate, a $-prefixed cost section with per-model cost breakdown, and the
cumulative cost re-billed due to cache misses.
in cases where forking a session was not immediate due to extensions
slowing down teardown, it's possible for the user to select the
message to fork more than once and then create multiple session forks.
in this fix we close the forking menu before starting the fork process
to not allow such behavior.
fixes#6321
* copy native clipboard .node files to the clipboard package
under the bun binary packaging, require("@mariozechner/clipboard-linux-x64-gnu")
doesn't work so instead we rely on require("./clipboard.linux-x64-gnu.node")
for that we need to copy the .node files to the clipboard package dir
* fallback to xclip if native clipboard fails on x11
Use the new provider-specific Xiaomi Token Plan catalogs from models.dev instead of cloning the API-billing Xiaomi catalog into every token-plan region. This removes API-billing-only models such as mimo-v2-omni from xiaomi-token-plan-{cn,ams,sgp}.
* feat(coding-agent): add before_provider_headers extension hook
Extensions can already rewrite the request payload through before_provider_request, but there is no way to adjust the outgoing HTTP
headers of a provider call. This hook fills that gap for cases like request tracing, session correlation, or tenant routing.
Handlers mutate the headers map in place - a null value deletes a header - and the return value is ignored, so a handler cannot accidentally drop auth or attribution headers by
forgetting to spread.
* docs(coding-agent): document before_provider_headers extension hook
Add the before_provider_headers section and lifecycle-diagram entry to
extensions.md; drop the now-superseded proposal file.
* feat(coding-agent): add InlineExtension type for named inline extension factories
* test(coding-agent): update utilities and add regression test for InlineExtension
The Message types require content to always be present, but untyped JS
extension tools, hand-built histories, and old or hand-edited session
files can violate that contract, crashing rendering, compaction, and
provider request conversion with 'content is not iterable'.
Normalize null/missing content to an empty array at the ingestion
boundaries instead of guarding every consumer:
- transformMessages (choke point before every provider request)
- createToolResultMessage in the agent loop
- session entry loading (message and custom_message entries)
- extension custom messages (sendCustomMessage, before_agent_start)
- message_end extension replacements
fixes#6259, fixes#6276
Switch vitest packages (ai, agent, coding-agent) to the dot reporter
with silent: passed-only so passing tests stay quiet while failing
tests still print their console output and full diffs. Add the
github-actions reporter on CI for inline annotations. Switch the tui
node:test runner to the dot reporter as well.
The question extension tool blocks on ctx.ui.custom() but omitted
executionMode, so multiple question calls in one assistant turn ran
under the default parallel mode and raced on the editor slot. Only the
last question rendered; earlier calls hung pending forever.
Set executionMode: "sequential" so the agent loop serializes the
batch. Wrappers already propagate the field to the core.
closes#6189
