Prioritized inference tiers, real-time token usage streaming, and context-aware hook decorators

The 0.1.10 release introduces support for Gemini Prioritized Inference service tiers, real-time token usage event streaming, stateful context-aware hook decorators, and explicit tool call correlation IDs across hook callbacks. It also standardizes default system instruction merging behavior, fixes WebSocket compaction events, and expands local Gemma model documentation.

• Gemini Prioritized Inference Service Tier: Configure agents to utilize Gemini Prioritized Inference service tiers for high-priority model execution with automated graceful fallback.
• Tool Call ID Correlation in Lifecycle Hooks: Inspect call_id attributes on tool executions, errors, and hooks to correlate multi-step tool invocations across lifecycle callbacks.
• Context-Aware Hook Decorators: Decorate hook handlers (@hooks.pre_turn, @hooks.post_tool_call, etc.) that optionally accept HookContext as a parameter to maintain state and share data across lifecycle callbacks.
• ActionCompaction Event Emission & Hook: Track context window compaction notifications over WebSockets and intercept them using @hooks.on_compaction.
• Standardized System Instructions Strategy: Plain string instructions default to appending to built-in instructions. To override and completely replace built-in instructions, pass CustomSystemInstructions.
• Live Token Usage Reporting: Introduced real-time UsageUpdate event streaming so token usage accumulates live during agent execution rather than delaying updates until state transitions.
• Interactive CLI Spinner: Updated CLI interactive loop spinner to list all active tool names when running concurrent tool calls (e.g., Running tools 'tool_a', 'tool_b').
• Module Re-exports: Re-exported ReadUrlContentResult and SearchWebResult in connections.local for uniform tool result access.
• Local Gemma Model Documentation: Added guides and tutorials for running agents locally with Gemma models using LiteRT and OpenAI-compatible endpoints.
• LiteRT Token Output Limit: Increased max_output_tokens default in LiteRT local server configuration from 8,192 to 16,384 tokens to prevent truncation during complex reasoning and generation tasks.
• ActionCompaction Event Emission: Fixed issue where compaction notifications were suppressed in external SDK releases, causing @hooks.on_compaction handlers and conversation.compaction_indices tracking to fail; compaction events now emit properly over WebSockets.
• MCP Test Server Startup: Fixed a race condition where the HTTP port was exposed before uvicorn server startup completed, which previously caused intermittent ConnectionRefusedError failures during test initialization.