v1.1.16

Features

• Model: Added OpenAI Responses API support in OpenAIModel, including streaming, tool calls, and related adapter integration, so agents can use the Responses API alongside existing chat-completions flows.
• Graph: Strengthened GraphAgent human-in-the-loop support and resume behavior, including clearer HITL event handling, checkpoint recovery, and AG-UI integration updates for interrupted graph runs.
• Agent: Added configurable run limits for LlmAgent through AgentRunLimits, allowing callers to cap total turns, LLM calls, and tool calls and fail fast when a budget is exceeded.
• Eval/Optimization: Added an evaluation-and-optimization closed loop, covering pipeline config validation, standardized evaluation, failure attribution, case diff analysis, gate/budget decisions, real optimizer write-back, atomic report publishing, audit indexing, and offline model / trace replay validation.
• Examples: Added examples/optimization/eval_optimize_loop for the evaluation-optimization workflow and examples/llmagent_with_limit for demonstrating agent run limits.

Bug Fixes

• Tools: Fixed BashTool whitelist validation so every executable segment in standalone commands, pipelines, and compound shell syntax (;, &&, ||, newlines, background &) is checked. Heredoc bodies are treated as data, and unverifiable substitution syntax now fails closed.
• Code Execution: Deferred docker and python-magic imports to first use, preventing import-time hangs or crashes on Windows and other environments without Docker Desktop or libmagic installed.
• Telemetry: Fixed missing trace reporting when LLM calls are cancelled with GeneratorExit after a client disconnects during deployed service runs.
• Eval/Optimization: Hardened report publishing, credential redaction, telemetry completeness, and config snapshot handling so optimization artifacts do not leak secrets or publish partial state.

Docs

• Docs: Added English and Chinese documentation for OpenAI Responses API usage, GraphAgent HITL/resume behavior, and LlmAgent run-limit configuration.