SDK v0.0.72
Multiple stability and reliability improvements including durable session context across interrupts, improved prompt queue handling, better MCP server integration with OAuth support, LiteLLM routing fixes, retry logic for network interruptions, and enhanced checkpoint tracking. Plugin settings are now centralized in the hub for better consistency.
- Prompts queued during a turn now survive being interrupted: they are preserved across user-initiated aborts, drained after a turn aborts itself, and edits made to the queue inside the abort window are applied rather than lost. Stopping a session now has consistent full-stop semantics across hosts
- Session context stays durable across aborts and hub restarts, so an interrupted session resumes with the state it had rather than a reset one
- Queued turns that fail are now reported as
run.failedinstead of completing silently - A hung MCP server no longer takes down session creation, and stdio servers that were never configured get a 30-second initialize budget instead of blocking indefinitely
- Remote SSE MCP servers now surface an OAuth authorization prompt on a 401 instead of failing outright, and remote MCP supports pre-registered OAuth clients for setups where dynamic client registration isn't available
- LiteLLM requests route through Chat Completions instead of the Responses API, fixing calls against LiteLLM proxies
- Network interruptions that happen mid-stream but before any model output are retried instead of failing the turn
- Vertex ADC token refreshes use the configured fetch, so they work behind proxies and custom transports
- Checkpoint diffs now include files that were untracked when the snapshot was taken, and checkpoints are picked up when git is initialized part-way through a session
- Plugin settings and contributions are centralized in the hub, with host-aware snapshots and atomic host plugin toggles; a source host no longer runs a foreign compiled plugin-sandbox bootstrap
- Scheduled run reports carry execution context — readable headers, schedule metadata, durations, and lifecycle error details
Full Changelog: sdk/sdk/v0.0.71...sdk/sdk/v0.0.72
Source: original entry ↗
More from Cline
Follow Cline to get its new changes in your feed and email digest.
Desktop v0.0.48
Added support for GPT-6 models on OpenAI and Azure OpenAI endpoints by fixing the max_tokens parameter issue. Updated default models across multiple providers and refreshed the model catalog with new CommandCode and Reflection providers.
CLI v3.0.73
GPT-6 models now work with OpenAI and Azure OpenAI endpoints after fixing a token parameter issue. Claude Sonnet 5.5 is restored as the default model when none is selected, and the model catalog has been refreshed with new providers and updated default models across multiple services.
SDK v0.0.95
OpenAI-compatible requests for GPT-6 and later models now use max_completion_tokens instead of max_tokens to prevent rejection by OpenAI and Azure. The hub daemon now tracks client launcher information as OTel resource attributes, the model catalog expanded from 6,952 to 7,041 models with new providers, and default models were updated across multiple providers with Claude Sonnet 5.5 restored as the primary recommended option.