- Introduced an `AgentPauseGate` mechanism to suspend and resume agent loops and tool executions safely.
- Added a `/pause` slash command to trigger a new fullscreen UI that manages agent suspension and lifecycle.
- Integrated pause checks into the core agent loop and tool execution pipeline to ensure responsive state handling.
- Provided a new pause screen component to facilitate user interaction and resume control during suspension.
- Introduced `stringifyJson` helper to preserve bigint precision by serializing them as decimal strings.
- Replaced native `JSON.stringify` across compaction and session management modules to prevent serialization errors when handling bigint values in tool arguments.
- Added regression tests in `agent` and `coding-agent` packages to ensure bigint tool arguments remain intact through compaction and persistence flows.
- Force `reasoning.context` to `all_turns` in OpenAI Codex requests when `responsesLite` is enabled.
- Include `reasoning.encrypted_content` in the `include` header for lite responses.
- Update request transformation logic to ensure these fields are populated even when reasoning effort is not explicitly set.
- Introduced `Max` as a first-class reasoning effort tier across all packages, including AI providers, coding agent configurations, and RPC protocols.
- Refactored model effort ladders to use wire-exact mappings and removed legacy effort aliasing (e.g., `max-to-xhigh` mapping).
- Updated model registry and provider configurations to support `Max` tier routing, color themes, and UI icon associations.
- Expanded test suites to provide end-to-end coverage for the new reasoning tier, including updated compatibility and fallback scenarios.
- Enabled Codex Responses Lite for GPT-5.6 models by integrating model discovery flags and wire contract updates.
- Implemented request transformations for streaming and remote compaction, including header injection and image detail stripping.
- Introduced sequential-cutoff logic and atomic reasoning summary events for concurrent stream processing.
- Added comprehensive test suites to validate remote compaction, image handling, and reasoning summary delivery.
- Introduced `getOpenAIPromptCacheKey` to provide a unified identity resolution for both cache keys and affinity headers.
- Enabled `x-grok-conv-id` header support in the OpenAI completions provider for models configured with cache affinity.
- Added comprehensive tests to verify cache affinity header behavior across varied session and cache configuration states.
- Aborted the active agent loop synchronously when a terminal yield tool result finishes, so IRC-wake turns stop before another provider call.
- Added a regression covering idle IRC wake handling after a terminal yield.
Fixes#4963
- derive per-tool abort labels from a tool-scoped abort signal for provider-built aborted messages
- restore main's single-call TTSR label test dropped by the merge
- complete the innocent read in the sibling-label test; incomplete matched calls mint no placeholder under the retention policy
Retried handoff generation with toolChoice auto when a provider rejects the cache-preserving toolChoice none request as auto-only.
Kept unrelated provider 400s terminal so bad request failures still surface without masking the cause.
Fixes#4715
- Sent remoteCompaction.model or requestModelId in chat-completions remote compaction requests instead of the local catalog id.
- Covered both direct requestRemoteCompaction formatting and end-to-end openai-completions compaction with wire model ids.
Fixes#4630
- Sent OpenAI-compatible chat messages when compaction.remoteEndpoint targets /chat/completions while preserving the existing custom summarizer payload elsewhere.
- Added regressions for direct wire formatting and end-to-end openai-completions compaction against a configured chat endpoint.
Fixes#4630
TTSR stream-interrupt aborts now carry a per-tool reason so the placeholder
loop labels only the tool call whose stream matched the rule with the rule
name and gives sibling committed tool calls a neutral "TTSR interrupt on
another tool call" reason. Previously the single `message.errorMessage`
was stamped onto every retained tool-call block, so unrelated read/edit
calls read as violating a rule they never matched and misled the model's
own reasoning about which call fired.
Threads the matched `toolcall:<id>` extracted from the TTSR match context
through `agent.abort(...)` as a `ToolScopedAbortReason` object; the agent
loop unwraps it in `emitAbortedAssistantMessage` into a
`toolCallAbortMessages` map on the aborted `AssistantMessage`, and the
`stopReason === "aborted"` fanout in `runAgentLoop` prefers the per-tool
message when one exists.
Fixes#2783
calculateContextTokens returned usage.totalTokens which, with the new
Usage.orchestration sidecar, folds provider-side orchestration back into the
context size used by auto-compaction/context promotion thresholds. Subtract
the orchestration sidecar so context sizing stays conversation-only while
cost and totalTokens keep the orchestration spend visible.
Refs #4469
can1357