Add event priority system (player_chat=0, perception=1, feedback=2, no_action_followup=3) with getEventPriority helper, implement coalesceQueue() to stable-sort queue by priority and drop redundant no-action follow-ups when player chat is waiting, call coalesceQueue before each queue shift to ensure player messages are processed first, add tests verifying chat promotion/followup dropping/order preservation
Add shouldRetryError helper consolidating retry decision logic, expand rate limit detection to catch token_quota_exceeded errors and quota-related messages (token quota/tokens per minute/too many tokens), implement exponential backoff for rate limits (1s→5s with jitter) vs fixed 150ms for other retries, skip turn gracefully on retry exhaustion instead of throwing non-auth errors, log lastError context when
Add isCerebrasBaseURL helper detecting cerebras.ai/cerebras.com domains, conditionally omit reasoning parameter when using Cerebras baseURL since their API doesn't support reasoning field, preserve reasoning defaults (effort: low) for non-Cerebras providers
Replace verbose JSDoc-style tool formatting with pipe-delimited compact format (name|description|sig:positional|obj:object|args:params), abbreviate common words in descriptions (Automatically→Auto, approximately→approx, coordinate→coord, inventory→inv, nearest→near, number of→#, player→plyr, resource→res, position→pos, whether→if), flatten parameter descriptions from multi-line @param blocks to semic
Add paused state to Brain with setPaused/togglePaused/isPaused methods, suppress all event processing while paused (log suppression to llmLogEntries with scheduler/paused/suppressed tags), add !pause chat command in CognitiveEngine to toggle pause state with confirmation message, expose paused flag in getReplState/getSnapshot for debug visibility, add test verifying ll
Update SKILL.md and mcp-surface.md to recommend compact value reads (query.self/snapshot/inventory helpers), document query runtime shortcuts (self/count/has/summary/snapshot) in mcp-surface.md, add query.self/snapshot usage examples to brain-prompt.md composable patterns, remove degraded environment sentinel warnings now that inject_chat refreshes reflex context first
Add query.self() returning one-shot self state (pos/health/food/heldItem/gameMode/isRaining/timeOfDay), add query.snapshot(range) returning combined self/inventory/nearby snapshot with counts/summary/emptySlots/totalStacks and blocks/entities/ores within range, add inventory.count(name)/has(name, atLeast)/summary() helpers for item queries, register query.self/snapshot as readonly functions in JavaScriptPlanner sandbox
Re-equip block-appropriate tool after ensurePickaxe crafting/ensuring workflow to capture newly crafted pickaxe, add second canHarvest check post-equip to verify harvestability with new tool, replace generic Error with ActionError(RESOURCE_MISSING) for missing tool failures to enable proper error handling
Set inspect depth to null (unlimited) in JavaScriptPlanner.evaluate to fully expand nested objects instead of truncating with [Object] placeholder, add maxArrayLength/maxStringLength limits (100/10000) to prevent unbounded output, add test verifying nested pos objects render as `{ x: 10, y: 64, z: -2 }` instead of `[Object]`
Add forget_conversation() usage examples to SKILL.md and mcp-surface.md, document two-turn value-first flow (read/query returns data first, follow-up turn acts on returned value), add prompt-behavior validation workflow for testing read->action patterns, note forget_conversation clears only conversation memory without touching llm state
Add forgetConversation method to Brain that clears conversationHistory and lastLlmInputSnapshot, expose as forget_conversation() global in JavaScriptPlanner sandbox, update brain-prompt with value-first rule mandating read->return->act pattern for world/query-dependent requests to avoid acting on unresolved variables, add tests verifying forgetConversation only clears conversation state without touching ll
Move brain-prompt system prompt from inline TypeScript string to external brain-prompt.md file, implement template loading with fs.watch hot-reload in development mode, add renderTemplate helper for {{variable}} substitution to inject toolsFormatted, cache loaded template with ensureTemplateLoaded/ensureWatcher helpers to avoid repeated disk reads
Add NO_ACTION_FOLLOWUP_SOURCE_ID constant, implement queueNoActionFollowup method that schedules system_alert event with no_actions reason when planner returns zero actions during observation mode, suppress follow-up if already in follow-up chain to prevent infinite loops, update brain-prompt with feedback loop guard guidance to avoid chat->feedback->chat cycles and clarify feedback:true usage for diagnostic verification only
Add LlmInputSnapshot interface tracking systemPrompt/userMessage/messages/conversationHistory/updatedAt/attempt, store lastLlmInputSnapshot in Brain and inject into RuntimeGlobals as llmInput, expose llmInput/llmMessages/llmSystemPrompt/llmUserMessage/llmConversationHistory as frozen readonly globals in JavaScriptPlanner sandbox, add source:'manual'|'llm' field to DebugReplResult to distinguish user-triggered vs autonomous
Add toCoord/cloneVec3 helpers, return structured telemetry from goToPlayer/goToCoordinate with ok/startPos/endPos/movedDistance/distanceToTargetBefore/distanceToTargetAfter fields, track lastPlannerOutcome summary (actionCount/okCount/errorCount/returnValue/logs) in Brain and inject as [SCRIPT] context with truncation, implement expect/expectMoved/expectNear guardrail tools in JavaScriptPlanner to validate action
Replace async followPlayer skill with sync reflex-based auto-follow that runs during idle mode, add clearFollowTarget action to disable auto-follow before independent movement, add autonomy state to ReflexContext tracking followPlayer/followDistance/followActive/followLastError, implement reconcileAutoFollow in ReflexRuntime using pathfinder GoalFollow that pauses during work/wander/alert modes, add followControl:
Replace string return type with unknown in ActionRegistry/TaskExecutor to support structured responses, change searchForBlock/searchForEntity from navigation to pure search returning structured data with found/block/entity/distance fields, add validation result handling in js-planner to return failed validations as ActionRuntimeResult instead of throwing, use nullish coalescing (??) instead of OR (
Add reconnect option to MineflayerOptions with enabled flag and maxRetries (default: 5), implement tryReconnect method to handle kicked/end events, extract setupBotEventHandlers to reuse on reconnect, track reconnect state with reconnectAttempts/isReconnecting/isStopping flags, add @types/node dependency for setTimeout typing
Replace manual reasoning prefix concatenation with proper reasoning field in Message type, enable reasoning with configurable effort (default: low) in LLM calls, extract reasoningText from response instead of reasoning property
Replace stateful neuri.handle with handleStateless, maintain conversation history manually using Message[] array, append user/assistant messages only after successful parsing to avoid dirty data on retry
- Remove unused ActionLLMHandler and createActionNeuriAgent from adapter.ts
- Replace execution:'parallel'/'sequential' with readonly:true for query tools
- Add 'skip' action for explicit no-op turns
- Remove error suggestion logic (now handled by brain retry)
- Simplify TaskExecutor to use ActionAgent.performAction directly
- Update tests to use createNeuriAgent() without bot parameter
Rin