Fetches /api/v1/images/models in parallel with /models and merges results
into the model picker. Image-only models (e.g. Sourceful, Seedream, Flux
via this endpoint) were previously invisible since they don't appear in the
standard /models endpoint.
Models from the images API get usesImagesAPI=true and route through a new
generateImageAPIResponse() path in ChatViewModel that POSTs to /api/v1/images
with {model, prompt} instead of the chat completions endpoint. The response's
b64_json data is decoded and displayed via the existing GeneratedImagesView.
Cost is taken directly from the usage.cost field in the images API response
(USD per image) via a new rawCostUSD field on ChatResponse.Usage, bypassing
the token-based calculateCost() path used for chat models.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Personal Data Tools: native Calendar, Reminders, Contacts (hidden pending
Apple TCC fix in beta), and Location & Maps access via EventKit, Contacts
framework, and MapKit. Write actions (create event/reminder, complete
reminder) gate through an approval sheet. Four hardened-runtime entitlements
added to oAI.entitlements; Info.plist usage strings added for all services.
Personal Data section shows a β badge while Contacts is hidden.
2nd Brain always-trust: inline toggle on the Agent Skills row for the skill
named "2nd Brain" skips the bash approval dialog when the command contains
.brain_helper.py, gated by three runtime checks in MCPService.
Research agents: spawn_research_agents tool runs up to 5 concurrent read-only
sub-agents (read_file, list_directory, search_files, web_search — no write,
no bash, no nesting). Bounded by maxConcurrentAgents setting (default 3) and
a hard ceiling of 8 tasks. Added items field to Tool.Function.Parameters.Property
for JSON Schema array support; wired into AnthropicProvider.convertParametersToDict.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Caches the system prompt/tools and growing conversation history via
cache_control breakpoints, cutting cost and latency on repeated turns.
Covers both the regular chat path and the tool-calling loop
(chatWithToolMessages), which has its own request-building code and was
initially missed. Cost calculation now accounts for cache write/read
pricing instead of treating all input tokens as full price. Verified
live: cache reads grow turn-over-turn in oAI.log.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>