refactor COT and cleanups #21
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WalkthroughThis pull request introduces enhancements to the CodeRabbit AI framework, focusing on memory management, goal tracking, and type system improvements. A new constant Changes
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Actionable comments posted: 3
🧹 Nitpick comments (7)
packages/core/src/types/index.ts (3)
120-120: Redundant property 'content' in 'ActionStep'The
contentproperty is already defined inBaseStep. SinceActionStepextendsBaseStep, there's no need to redeclarecontent.Apply this diff to remove the redundant
contentproperty:export interface ActionStep extends BaseStep { type: "action"; - content: string; toolCall?: { name: string; arguments: any;
165-165: Consider making 'priority' an optional field or enforce its rangeThe
priorityfield is currently required and accepts any number. Since priorities are expected to be between 1 and 10, you might want to enforce this range using a type or validation logic.Consider updating the type:
- priority: number; + priority: number; // Expected to be between 1-10And enforce the range where the
Goalobjects are created or validated.
172-172: Specify the valid range for 'progress'The
progressfield indicates partial completion between 0-100. Consider enforcing this range in the type definition or through validation to prevent invalid values.Optionally, you can define the type with more specific constraints using a type alias or validation logic.
packages/core/src/core/chain-of-thought.ts (1)
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1079-1273: Refactor 'think' method for better readability and maintainabilityThe
thinkmethod is lengthy and complex, spanning nearly 200 lines. Consider breaking it into smaller, focused methods to enhance readability, simplify debugging, and improve maintainability.packages/core/src/core/step-manager.ts (1)
Line range hint
33-43: Prevent 'type' property from being overwritten in 'updateStep'Currently, the
typeproperty is explicitly preserved fromcurrentStep, but ifupdatesincludes atype, it might overwrite the existing value. To safeguard against unintended changes, excludetypefromupdatesbefore merging.Apply this diff:
public updateStep(id: string, updates: Partial<Step>): void { const index = this.steps.findIndex((s) => s.id === id); if (index === -1) { throw new Error(`Step with ID ${id} not found`); } const currentStep = this.steps[index]; + const { type: _ignoredType, ...restUpdates } = updates; const updatedStep = { ...currentStep, - ...updates, + ...restUpdates, type: currentStep.type, // Preserve the original step type timestamp: Date.now(), // Update timestamp on changes } as Step;examples/example-basic.ts (1)
4-4: Tests needed for memory integration.The TODO comment indicates missing tests. Given the critical nature of the memory system, comprehensive tests should be added to ensure reliable functionality.
Would you like me to help generate unit tests for the memory integration? This should include:
- Memory initialization tests
- Document storage and retrieval tests
- Integration tests with ChainOfThought
examples/example-goal.ts (1)
76-87: Consider maintaining consistency with example-basic.ts.While the memory initialization is functional, consider storing both ETERNUM_CONTEXT and PROVIDER_GUIDE as done in example-basic.ts. The PROVIDER_GUIDE could be valuable for goal-based operations.
Apply this change for consistency:
// Initialize memory const memory = new ChromaVectorDB("agent_memory"); // Load initial context await memory.storeDocument({ title: "Game Rules", content: ETERNUM_CONTEXT, category: "rules", tags: ["game-mechanics", "rules"], lastUpdated: new Date(), }); + +await memory.storeDocument({ + title: "Provider Guide", + content: PROVIDER_GUIDE, + category: "actions", + tags: ["actions", "provider-guide"], + lastUpdated: new Date(), +});
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📒 Files selected for processing (8)
examples/eternum-context.ts(2 hunks)examples/example-basic.ts(3 hunks)examples/example-goal.ts(3 hunks)packages/core/src/core/chain-of-thought.ts(17 hunks)packages/core/src/core/goal-manager.ts(1 hunks)packages/core/src/core/step-manager.ts(1 hunks)packages/core/src/core/vector-db.ts(1 hunks)packages/core/src/types/index.ts(1 hunks)
✅ Files skipped from review due to trivial changes (1)
- packages/core/src/core/goal-manager.ts
🔇 Additional comments (6)
packages/core/src/core/step-manager.ts (1)
3-3: Ensure imported types are consistent and completeNow that step types are imported from
../types, verify that all necessary types (BaseStep,ActionStep, etc.) are correctly exported and imported where needed to maintain type safety.examples/example-basic.ts (2)
40-57: Well-structured memory initialization with proper metadata!The initialization of the memory system is well-organized with appropriate metadata for both game rules and provider guide documents. The categorization and tagging will help with efficient retrieval.
59-61: Clean integration of memory into ChainOfThought!The memory system is properly integrated into the ChainOfThought constructor while maintaining the existing worldState parameter.
examples/example-goal.ts (1)
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192-236: Excellent implementation of memory-related event handlers!The event handlers are well-structured with:
- Clear separation between experience and knowledge storage
- Comprehensive error handling
- Good use of visual differentiation for different event types
- Proper logging of relevant metadata
examples/eternum-context.ts (1)
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434-670: Excellent documentation structure and content!The PROVIDER_GUIDE is well-organized with:
- Clear sections for different operations
- Comprehensive examples with parameters
- Important rules and guidelines
- Structured format using XML-like tags
packages/core/src/core/vector-db.ts (1)
686-705: Robust error handling and improved query logic!The changes improve the searchDocumentsByTag method with:
- Comprehensive error handling with proper logging
- More precise query logic using $and operator
- Clear error messages with relevant context
| try { | ||
| parsed = JSON.parse(response.toString()); | ||
|
|
||
| console.log("parsed", parsed); |
There was a problem hiding this comment.
🛠️ Refactor suggestion
Replace 'console.log' with the logger
Direct use of console.log is inconsistent with the application's logging strategy. Replace it with this.logger.debug for better log management.
Apply this diff:
- console.log("parsed", parsed);
+ this.logger.debug("getValidatedLLMResponse", "Parsed response", { parsed });📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| console.log("parsed", parsed); | |
| this.logger.debug("getValidatedLLMResponse", "Parsed response", { parsed }); |
| .map((doc) => ({ | ||
| ...JSON.parse(doc.content), | ||
| id: doc.id, | ||
| lastUpdated: doc.lastUpdated, | ||
| })) | ||
| .sort((a, b) => b.timestamp - a.timestamp); | ||
| } catch (error) { |
There was a problem hiding this comment.
🛠️ Refactor suggestion
Add error handling for JSON parsing in 'getBlackboardHistory'
Similar to getBlackboardState, ensure that JSON parsing errors are handled to prevent crashes when processing blackboard history.
Apply this diff to add error handling:
return docs
.map((doc) => {
- return {
- ...JSON.parse(doc.content),
- id: doc.id,
- lastUpdated: doc.lastUpdated,
- };
+ try {
+ return {
+ ...JSON.parse(doc.content),
+ id: doc.id,
+ lastUpdated: doc.lastUpdated,
+ };
+ } catch (error) {
+ this.logger.error("getBlackboardHistory", "Failed to parse blackboard document content", { error });
+ return null;
+ }
})
+ .filter((entry) => entry !== null)
.sort((a, b) => b.timestamp - a.timestamp);📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| .map((doc) => ({ | |
| ...JSON.parse(doc.content), | |
| id: doc.id, | |
| lastUpdated: doc.lastUpdated, | |
| })) | |
| .sort((a, b) => b.timestamp - a.timestamp); | |
| } catch (error) { | |
| .map((doc) => { | |
| try { | |
| return { | |
| ...JSON.parse(doc.content), | |
| id: doc.id, | |
| lastUpdated: doc.lastUpdated, | |
| }; | |
| } catch (error) { | |
| this.logger.error("getBlackboardHistory", "Failed to parse blackboard document content", { error }); | |
| return null; | |
| } | |
| }) | |
| .filter((entry) => entry !== null) | |
| .sort((a, b) => b.timestamp - a.timestamp); | |
| } catch (error) { |
| const aContent = JSON.parse(a.content); | ||
| const bContent = JSON.parse(b.content); | ||
| return aContent.timestamp - bContent.timestamp; | ||
| }) | ||
| .forEach((doc) => { | ||
| const update = JSON.parse(doc.content); | ||
| if (!state[update.type]) { | ||
| state[update.type] = {}; | ||
| } | ||
| state[update.type][update.key] = update.value; | ||
| }); | ||
|
|
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🛠️ Refactor suggestion
Add error handling for JSON parsing in 'getBlackboardState'
When parsing doc.content as JSON, there is a possibility of a parsing error if the content is malformed. Add error handling to catch JSON parsing errors and prevent the application from crashing.
Apply this diff to add error handling:
blackboardDocs
.sort((a, b) => {
- const aContent = JSON.parse(a.content);
- const bContent = JSON.parse(b.content);
+ let aContent;
+ let bContent;
+ try {
+ aContent = JSON.parse(a.content);
+ bContent = JSON.parse(b.content);
+ } catch (error) {
+ this.logger.error("getBlackboardState", "Failed to parse blackboard document content", { error });
+ return 0; // Keep original order if parsing fails
+ }
return aContent.timestamp - bContent.timestamp;
})
.forEach((doc) => {
- const update = JSON.parse(doc.content);
+ let update;
+ try {
+ update = JSON.parse(doc.content);
+ } catch (error) {
+ this.logger.error("getBlackboardState", "Failed to parse blackboard document content", { error });
+ return;
+ }
if (!state[update.type]) {
state[update.type] = {};
}Committable suggestion skipped: line range outside the PR's diff.
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Actionable comments posted: 1
🔭 Outside diff range comments (1)
packages/core/src/core/llm-client.ts (1)
Line range hint
126-130: Handle 'openrouter' provider ingetApiKeyFromEnvmethod.The
getApiKeyFromEnvmethod currently only supports the 'anthropic' provider. Since the client is now using the 'openrouter' provider, this method will throw an error. Update the method to handle 'openrouter' by returningenv.OPENROUTER_API_KEY.Apply this diff to fix the issue:
private getApiKeyFromEnv(provider: string): string { + if (provider === "openrouter") { + return env.OPENROUTER_API_KEY; + } else if (provider === "anthropic") { return env.ANTHROPIC_API_KEY; } throw new Error(`Unsupported provider: ${provider}`); }
♻️ Duplicate comments (1)
packages/core/src/core/chain-of-thought.ts (1)
1453-1522:⚠️ Potential issueAdd error handling for JSON parsing in blackboard operations.
The blackboard state management needs error handling for JSON parsing operations to prevent crashes.
Apply this diff:
blackboardDocs .sort((a, b) => { - const aContent = JSON.parse(a.content); - const bContent = JSON.parse(b.content); + let aContent, bContent; + try { + aContent = JSON.parse(a.content); + bContent = JSON.parse(b.content); + } catch (error) { + this.logger.error("getBlackboardState", "Failed to parse blackboard content", { error }); + return 0; + } return aContent.timestamp - bContent.timestamp; }) .forEach((doc) => { - const update = JSON.parse(doc.content); + let update; + try { + update = JSON.parse(doc.content); + } catch (error) { + this.logger.error("getBlackboardState", "Failed to parse update content", { error }); + return; + } if (!state[update.type]) { state[update.type] = {}; } state[update.type][update.key] = update.value; });
🧹 Nitpick comments (7)
packages/core/src/core/llm-client.ts (2)
173-174: Make the model inanalyzemethod configurable.The
analyzemethod uses a hardcoded model"deepseek/deepseek-r1". Consider making the model configurable by usingthis.config.modelor accepting it as a parameter. This will enhance flexibility and maintain consistency across the client.Apply this diff to enhance configurability:
const response = await generateText({ - model: openrouter("deepseek/deepseek-r1"), + model: openrouter(this.config.model), temperature, messages: [ // ... ], maxTokens, });
189-191: Ensure event listeners are registered for emitted events.The
analyzemethod emits a"trace:tokens"event with token usage data. To prevent potential issues with unhandled events, verify that appropriate event listeners are registered to handle this event. Additionally, consider documenting the event name and data structure for clarity.packages/core/src/types/index.ts (2)
118-148: Consider standardizing error handling across step types.While the
ActionStepinterface includes comprehensive error handling witherroranddurationfields, other step types might benefit from similar error tracking capabilities for consistency.Consider extending other step types with error handling:
export interface PlanningStep extends BaseStep { type: "planning"; plan: string; facts: string; + error?: Error; + duration?: number; } export interface SystemStep extends BaseStep { type: "system"; systemPrompt: string; + error?: Error; + duration?: number; } export interface TaskStep extends BaseStep { type: "task"; task: string; + error?: Error; + duration?: number; }
231-265: Add JSDoc comments for event handlers.The event system is well-designed, but would benefit from documentation explaining when each event is emitted and what the event parameters represent.
Add JSDoc comments for better developer experience:
export interface ChainOfThoughtEvents { + /** Emitted when a new step is added to the chain */ step: (step: Step) => void; + /** Emitted when an action starts execution */ "action:start": (action: CoTAction) => void; // Add similar comments for other events }examples/eternum-context.ts (1)
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439-671: Standardize contract address placeholders.The documentation uses
<eternum-trade_systems>syntax for contract addresses. Consider using a more standard format that clearly indicates these are placeholders.Apply this format consistently:
- "contractAddress": "<eternum-trade_systems>", + "contractAddress": "{{ETERNUM_TRADE_SYSTEMS_ADDRESS}}",packages/core/src/core/chain-of-thought.ts (2)
282-363: Enhance error handling in goal validation.While the goal validation system is well-designed, it could benefit from more specific error handling.
Add specific error types and handling:
+interface GoalValidationError extends Error { + type: 'REQUIREMENTS' | 'RESOURCES' | 'DEPENDENCIES'; + details: Record<string, any>; +} private async canExecuteGoal(goal: Goal): Promise<{ possible: boolean; reason: string; missing_requirements: string[]; }> { - try { + try { const [relevantDocs, relevantExperiences, blackboardState] = await Promise.all([ this.memory.findSimilarDocuments(goal.description, 5), this.memory.findSimilarEpisodes(goal.description, 3), this.getBlackboardState(), ]); + } catch (error) { + const validationError = new Error('Goal validation failed') as GoalValidationError; + validationError.type = 'DEPENDENCIES'; + validationError.details = { error }; + throw validationError; + }
1556-1643: Consider adding response caching.The LLM response validation system could benefit from caching successful responses to avoid unnecessary retries and reduce API calls.
Consider implementing a caching mechanism:
- Cache successful responses using a combination of prompt and schema as key
- Implement cache invalidation strategy
- Add cache hit/miss metrics
Example implementation:
interface CacheEntry<T> { response: T; timestamp: number; schema: string; } private responseCache = new Map<string, CacheEntry<any>>(); private getCacheKey(prompt: string, schema: z.ZodSchema<any>): string { return crypto.createHash('md5') .update(`${prompt}${JSON.stringify(zodToJsonSchema(schema))}`) .digest('hex'); }
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📒 Files selected for processing (7)
examples/eternum-context.ts(3 hunks)examples/example-goal.ts(4 hunks)packages/core/package.json(1 hunks)packages/core/src/core/chain-of-thought.ts(19 hunks)packages/core/src/core/env.ts(1 hunks)packages/core/src/core/llm-client.ts(4 hunks)packages/core/src/types/index.ts(1 hunks)
🔇 Additional comments (7)
packages/core/src/core/env.ts (1)
13-13: Addition ofOPENROUTER_API_KEYis appropriate.Including
OPENROUTER_API_KEYin the environment schema is necessary for configuring the OpenRouter SDK. This addition aligns with the changes made to theLLMClient.packages/core/package.json (1)
17-17: New dependencies align with the updated SDK usage.The addition of
"@openrouter/ai-sdk-provider": "^0.0.6"and"ai": "^4.1.0"as dependencies is appropriate. These packages are required for the integration of the OpenRouter SDK and thegenerateTextfunction used inLLMClient.Also applies to: 19-19
packages/core/src/types/index.ts (2)
107-116: Well-structured type definitions!The
StepTypeandBaseStepdefinitions provide a solid foundation for the step system. The use of discriminated unions with thetypefield and optional properties allows for both type safety and flexibility.
150-189: Excellent goal tracking system design!The goal-related types provide a robust foundation for goal management:
- Clear horizon types for temporal organization
- Comprehensive status tracking
- Well-thought-out success criteria and scoring system
- Proper type safety with optional fields where appropriate
examples/example-goal.ts (2)
130-132: Use the logger for token tracking.Replace direct console logging with the logger for consistent log management.
Apply this diff:
- console.log("\n💡 Tokens used:", { input, output }); + dreams.logger.debug("token_usage", "Tokens used", { input, output });
71-84: Verify the specified model version.The LLM client is initialized with "deepseek/deepseek-r1". Ensure this model version exists and is appropriate for the task.
Run this script to check the model:
✅ Verification successful
Model configuration is correctly implemented
The model "deepseek/deepseek-r1" is properly integrated through OpenRouter's SDK and follows the correct implementation pattern. The necessary dependencies and configurations are in place.
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash # Description: Check if the specified model exists and get its capabilities curl -s "https://api.deepseek.com/v1/models" | jq '.data[] | select(.id | contains("deepseek-r1"))'Length of output: 157
Script:
#!/bin/bash # Search for model configurations and documentation echo "=== Searching for model configurations ===" rg -i "deepseek" --type ts --type js --type json -C 2 echo -e "\n=== Checking package.json for relevant dependencies ===" cat package.json | jq '.dependencies' echo -e "\n=== Searching for documentation files ===" fd -e md -e txt | xargs rg -i "deepseek" -C 2Length of output: 1101
Script:
#!/bin/bash # Check OpenRouter integration and configuration echo "=== Checking OpenRouter configuration ===" rg -i "openrouter" --type ts --type js --type json -C 3 echo -e "\n=== Looking for model configuration files ===" fd -e config -e json -e yaml -e yml | xargs rg -i "openrouter|model"Length of output: 2650
examples/eternum-context.ts (1)
435-439: Well-structured provider documentation!The provider guide is clearly organized with important rules and guidelines prominently displayed at the beginning.
| private getDefaultModel(): string { | ||
| return "anthropic/claude-3.5-sonnet:beta"; |
There was a problem hiding this comment.
Update the default model to match the new provider.
The getDefaultModel method returns "anthropic/claude-3.5-sonnet:beta", which is associated with the Anthropic provider. Since the code now utilizes the OpenRouter SDK, consider updating the default model to one compatible with OpenRouter or ensure that the provider is correctly set to Anthropic if that's intentional.
Apply this diff to fix the inconsistency:
private getDefaultModel(): string {
- return "anthropic/claude-3.5-sonnet:beta";
+ return "openrouter/default-model"; // Replace with an appropriate default model
}Committable suggestion skipped: line range outside the PR's diff.
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Actionable comments posted: 4
🔭 Outside diff range comments (2)
packages/core/src/core/chain-of-thought.ts (2)
Line range hint
113-231: Add error handling for memory operations.The strategy planning code doesn't handle potential failures in memory operations gracefully.
Apply this diff to add proper error handling:
public async planStrategy(objective: string): Promise<void> { this.logger.debug("planStrategy", "Planning strategy for objective", { objective, }); - const [relevantDocs, relevantExperiences] = await Promise.all([ - this.memory.findSimilarDocuments(objective, 5), - this.memory.findSimilarEpisodes(objective, 3), - ]); + let relevantDocs: Documentation[] = []; + let relevantExperiences: EpisodicMemory[] = []; + + try { + [relevantDocs, relevantExperiences] = await Promise.all([ + this.memory.findSimilarDocuments(objective, 5), + this.memory.findSimilarEpisodes(objective, 3), + ]); + } catch (error) { + this.logger.error("planStrategy", "Failed to retrieve context from memory", { error }); + // Continue with empty context rather than failing completely + }
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374-439: Add validation for goal refinement results.The goal refinement process should validate that sub-goals maintain parent goal constraints.
Add validation to ensure sub-goals align with parent goals:
private async refineGoal(goal: Goal, maxRetries: number = 3): Promise<void> { + const validateSubGoals = (subGoals: RefinedGoal[], parentGoal: Goal): boolean => { + // Ensure sub-goals don't exceed parent's scope + const totalComplexity = subGoals.reduce((sum, sg) => sum + sg.priority, 0); + if (totalComplexity > parentGoal.priority * 1.5) { + return false; + } + return true; + }; try { const subGoals = await this.getValidatedLLMResponse<RefinedGoal[]>({ prompt, systemPrompt: "You are a goal refinement system that breaks down complex goals into actionable steps.", schema, maxRetries, onRetry: (error, attempt) => { this.logger.error("refineGoal", `Attempt ${attempt} failed`, { error, }); }, }); + if (!validateSubGoals(subGoals, goal)) { + throw new Error("Sub-goals exceed parent goal's scope"); + } // Add sub-goals to goal manager with parent reference for (const subGoal of subGoals) { this.goalManager.addGoal({
♻️ Duplicate comments (1)
packages/core/src/core/llm-client.ts (1)
125-126:⚠️ Potential issueUpdate the default model to match the new provider.
The
getDefaultModelmethod returns an Anthropic model, but the code now uses the OpenRouter SDK. This inconsistency could cause issues.
🧹 Nitpick comments (4)
packages/core/src/core/llm-client.ts (1)
100-123: Add type safety to response handling.While the response mapping is correct, consider adding TypeScript interfaces for the OpenRouter response structure to improve type safety and maintainability.
interface OpenRouterResponse { text: string; usage: { promptTokens: number; completionTokens: number; }; finishReason: string; }examples/example-goal.ts (1)
57-57: Consider making the model configurable.The model is hardcoded to "deepseek/deepseek-r1". Consider:
- Moving this to a configuration file
- Making it environment-variable configurable
- Adding validation for supported models
// config.ts export const DEFAULT_MODEL = process.env.LLM_MODEL || "deepseek/deepseek-r1"; // Validation const SUPPORTED_MODELS = ["deepseek/deepseek-r1", "anthropic/claude-3.5-sonnet:beta"]; if (!SUPPORTED_MODELS.includes(DEFAULT_MODEL)) { throw new Error(`Unsupported model: ${DEFAULT_MODEL}`); }examples/eternum-context.ts (1)
14-25: Improve game overview structure and clarity.The game overview section contains duplicate headers and could be better organized for clarity.
Apply this diff to improve the structure:
-# Game Overview -1. Guide players through game mechanics -2. Help optimize resource management and building decisions -3. Provide strategic recommendations based on game state - -# Game Overview - +# Game Overview and Objectives +## Assistant Goals +1. Guide players through game mechanics +2. Help optimize resource management and building decisions +3. Provide strategic recommendations based on game state + +## Game Mechanics - Players expand their Realm to build a hyperstructure - Hyperstructures require 3M fragments and significant resources - Once built, hyperstructures generate points when defended - First player to accumulate 9M points wins the gamepackages/core/src/core/chain-of-thought.ts (1)
53-53: Consider initializing memory in a separate method.The memory initialization is spread across multiple locations. Consider consolidating it into a dedicated initialization method.
export class ChainOfThought extends EventEmitter { - public memory: VectorDB; + private memory: VectorDB; + + public getMemory(): VectorDB { + return this.memory; + } + + private initializeMemory(memory: VectorDB): void { + this.memory = memory; + this.logger.debug("initializeMemory", "Memory system initialized"); + } constructor( private llmClient: LLMClient, memory: VectorDB, initialContext?: ChainOfThoughtContext, config: { logLevel?: LogLevel; } = {} ) { super(); // ... other initialization code ... - this.memory = memory; + this.initializeMemory(memory); }Also applies to: 65-65, 105-105
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📒 Files selected for processing (5)
examples/eternum-context.ts(3 hunks)examples/example-goal.ts(4 hunks)packages/core/src/core/chain-of-thought.ts(18 hunks)packages/core/src/core/llm-client.ts(4 hunks)packages/core/src/core/processor.ts(0 hunks)
💤 Files with no reviewable changes (1)
- packages/core/src/core/processor.ts
🔇 Additional comments (6)
packages/core/src/core/llm-client.ts (2)
191-194: LGTM! Well-structured token usage tracking.The implementation properly emits token usage metrics, enabling monitoring and optimization of API usage.
18-19: Consider documenting the rationale for MaxListeners value.The MaxListeners limit of 50 seems high. While this might be intentional, it could indicate potential memory leaks if many listeners are not properly cleaned up. Consider:
- Documenting why 50 listeners are needed
- Implementing a cleanup mechanism for listeners
- Using a lower value if 50 is not justified
Run this script to check the actual listener usage:
✅ Verification successful
The MaxListeners limit of 50 is justified.
The high limit is appropriate given the extensive event system that covers core operations (thinking, actions), goal management, memory operations, and system monitoring. The value allows multiple components to subscribe to these events for logging, monitoring, and extensibility purposes.
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash # Search for event listener registrations to verify the need for 50 listeners rg -A 2 "\.on\("Length of output: 5416
examples/example-goal.ts (1)
60-79: LGTM! Well-structured memory initialization.The implementation properly initializes the ChromaVectorDB and stores both game rules and provider guide with appropriate metadata and tags.
examples/eternum-context.ts (1)
Line range hint
434-671: LGTM! Well-structured API documentation.The PROVIDER_GUIDE section is well-organized with:
- Clear function documentation
- Detailed parameter descriptions
- Helpful examples
- Important rules and validations
packages/core/src/core/chain-of-thought.ts (2)
30-44: LGTM! Well-defined interfaces.The new interfaces
RefinedGoalandLLMValidationOptionsare well-structured and provide good type safety.
289-370: 🛠️ Refactor suggestionAdd retry mechanism for goal execution checks.
The goal execution validation lacks a retry mechanism for transient failures.
Apply this diff to add retries:
private async canExecuteGoal(goal: Goal): Promise<{ possible: boolean; reason: string; missing_requirements: string[]; }> { + const maxRetries = 3; + let attempts = 0; + + while (attempts < maxRetries) { try { const [relevantDocs, relevantExperiences, blackboardState] = await Promise.all([ this.memory.findSimilarDocuments(goal.description, 5), this.memory.findSimilarEpisodes(goal.description, 3), this.getBlackboardState(), ]); // ... rest of the function ... return response; } catch (error) { + attempts++; + if (attempts >= maxRetries) { this.logger.error( "canExecuteGoal", "Failed to check goal executability", { error } ); return { possible: false, - reason: "Error checking goal executability", + reason: `Failed to check goal executability after ${maxRetries} attempts`, missing_requirements: [], }; + } + // Wait before retrying + await new Promise(resolve => setTimeout(resolve, attempts * 1000)); } + } }Likely invalid or redundant comment.
| apiKey: this.config.apiKey, | ||
| }); | ||
| } | ||
| private initializeClient(): void {} |
There was a problem hiding this comment.
🛠️ Refactor suggestion
Remove unused method.
The initializeClient method is empty and appears to be unused. Consider removing it to improve code maintainability.
- private initializeClient(): void {}| // llmClient.on("trace:tokens", ({ input, output }) => { | ||
| // console.log("\n💡 Tokens used:", { input, output }); | ||
| // }); |
There was a problem hiding this comment.
🛠️ Refactor suggestion
Remove or implement commented code.
The token usage event logging is commented out without explanation. Either:
- Remove the commented code if it's no longer needed
- Implement the feature if it's still required
- Add a comment explaining why it's disabled if it's temporarily disabled
| private async getValidatedLLMResponse<T>({ | ||
| prompt, | ||
| systemPrompt, | ||
| schema, | ||
| maxRetries = 3, | ||
| onRetry, | ||
| }: LLMValidationOptions<T>): Promise<T> { | ||
| const jsonSchema = zodToJsonSchema(schema, "mySchema"); | ||
| const validate = ajv.compile(jsonSchema as JSONSchemaType<T>); | ||
| let attempts = 0; | ||
|
|
||
| const formattedPrompt = ` | ||
| ${prompt} | ||
|
|
||
| <response_structure> | ||
| Return a JSON object matching this schema. Do not include any markdown formatting. | ||
|
|
||
| ${JSON.stringify(jsonSchema, null, 2)} | ||
| </response_structure> | ||
| `; | ||
|
|
||
| while (attempts < maxRetries) { | ||
| try { | ||
| const response = await this.llmClient.analyze(formattedPrompt, { | ||
| system: systemPrompt, | ||
| }); | ||
|
|
||
| let responseText = response.toString(); | ||
|
|
||
| // Remove markdown code block formatting if present | ||
| responseText = responseText.replace(/```json\n?|\n?```/g, ""); | ||
|
|
||
| let parsed: T; | ||
| try { | ||
| parsed = JSON.parse(responseText); | ||
| } catch (parseError) { | ||
| this.logger.error( | ||
| "getValidatedLLMResponse", | ||
| "Failed to parse LLM response as JSON", | ||
| { | ||
| response: responseText, | ||
| error: parseError, | ||
| } | ||
| ); | ||
| attempts++; | ||
| onRetry?.(parseError as Error, attempts); | ||
| continue; | ||
| } | ||
|
|
||
| if (!validate(parsed)) { | ||
| this.logger.error( | ||
| "getValidatedLLMResponse", | ||
| "Response failed schema validation", | ||
| { | ||
| errors: validate.errors, | ||
| response: parsed, | ||
| } | ||
| ); | ||
| attempts++; | ||
| onRetry?.( | ||
| new Error( | ||
| `Schema validation failed: ${JSON.stringify(validate.errors)}` | ||
| ), | ||
| attempts | ||
| ); | ||
| continue; | ||
| } | ||
|
|
||
| return parsed; | ||
| } catch (error) { | ||
| this.logger.error( | ||
| "getValidatedLLMResponse", | ||
| `Attempt ${attempts + 1} failed`, | ||
| { error } | ||
| ); | ||
| attempts++; | ||
| onRetry?.(error as Error, attempts); | ||
|
|
||
| if (attempts >= maxRetries) { | ||
| throw new Error( | ||
| `Failed to get valid LLM response after ${maxRetries} attempts: ${error}` | ||
| ); | ||
| } | ||
| } | ||
| } | ||
|
|
||
| throw new Error("Maximum retries exceeded"); | ||
| } |
There was a problem hiding this comment.
🛠️ Refactor suggestion
Add timeout handling for LLM operations.
The LLM response validation should include a timeout mechanism to prevent hanging.
Add timeout handling:
private async getValidatedLLMResponse<T>({
prompt,
systemPrompt,
schema,
maxRetries = 3,
onRetry,
+ timeout = 30000, // 30 second default timeout
}: LLMValidationOptions<T>): Promise<T> {
const jsonSchema = zodToJsonSchema(schema, "mySchema");
const validate = ajv.compile(jsonSchema as JSONSchemaType<T>);
let attempts = 0;
while (attempts < maxRetries) {
try {
- const response = await this.llmClient.analyze(formattedPrompt, {
+ const response = await Promise.race([
+ this.llmClient.analyze(formattedPrompt, {
system: systemPrompt,
- });
+ }),
+ new Promise((_, reject) =>
+ setTimeout(() => reject(new Error("LLM response timeout")), timeout)
+ )
+ ]);📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| private async getValidatedLLMResponse<T>({ | |
| prompt, | |
| systemPrompt, | |
| schema, | |
| maxRetries = 3, | |
| onRetry, | |
| }: LLMValidationOptions<T>): Promise<T> { | |
| const jsonSchema = zodToJsonSchema(schema, "mySchema"); | |
| const validate = ajv.compile(jsonSchema as JSONSchemaType<T>); | |
| let attempts = 0; | |
| const formattedPrompt = ` | |
| ${prompt} | |
| <response_structure> | |
| Return a JSON object matching this schema. Do not include any markdown formatting. | |
| ${JSON.stringify(jsonSchema, null, 2)} | |
| </response_structure> | |
| `; | |
| while (attempts < maxRetries) { | |
| try { | |
| const response = await this.llmClient.analyze(formattedPrompt, { | |
| system: systemPrompt, | |
| }); | |
| let responseText = response.toString(); | |
| // Remove markdown code block formatting if present | |
| responseText = responseText.replace(/```json\n?|\n?```/g, ""); | |
| let parsed: T; | |
| try { | |
| parsed = JSON.parse(responseText); | |
| } catch (parseError) { | |
| this.logger.error( | |
| "getValidatedLLMResponse", | |
| "Failed to parse LLM response as JSON", | |
| { | |
| response: responseText, | |
| error: parseError, | |
| } | |
| ); | |
| attempts++; | |
| onRetry?.(parseError as Error, attempts); | |
| continue; | |
| } | |
| if (!validate(parsed)) { | |
| this.logger.error( | |
| "getValidatedLLMResponse", | |
| "Response failed schema validation", | |
| { | |
| errors: validate.errors, | |
| response: parsed, | |
| } | |
| ); | |
| attempts++; | |
| onRetry?.( | |
| new Error( | |
| `Schema validation failed: ${JSON.stringify(validate.errors)}` | |
| ), | |
| attempts | |
| ); | |
| continue; | |
| } | |
| return parsed; | |
| } catch (error) { | |
| this.logger.error( | |
| "getValidatedLLMResponse", | |
| `Attempt ${attempts + 1} failed`, | |
| { error } | |
| ); | |
| attempts++; | |
| onRetry?.(error as Error, attempts); | |
| if (attempts >= maxRetries) { | |
| throw new Error( | |
| `Failed to get valid LLM response after ${maxRetries} attempts: ${error}` | |
| ); | |
| } | |
| } | |
| } | |
| throw new Error("Maximum retries exceeded"); | |
| } | |
| private async getValidatedLLMResponse<T>({ | |
| prompt, | |
| systemPrompt, | |
| schema, | |
| maxRetries = 3, | |
| onRetry, | |
| timeout = 30000, // 30 second default timeout | |
| }: LLMValidationOptions<T>): Promise<T> { | |
| const jsonSchema = zodToJsonSchema(schema, "mySchema"); | |
| const validate = ajv.compile(jsonSchema as JSONSchemaType<T>); | |
| let attempts = 0; | |
| const formattedPrompt = ` | |
| ${prompt} | |
| <response_structure> | |
| Return a JSON object matching this schema. Do not include any markdown formatting. | |
| ${JSON.stringify(jsonSchema, null, 2)} | |
| </response_structure> | |
| `; | |
| while (attempts < maxRetries) { | |
| try { | |
| const response = await Promise.race([ | |
| this.llmClient.analyze(formattedPrompt, { | |
| system: systemPrompt, | |
| }), | |
| new Promise((_, reject) => | |
| setTimeout(() => reject(new Error("LLM response timeout")), timeout) | |
| ) | |
| ]); | |
| let responseText = response.toString(); | |
| // Remove markdown code block formatting if present |
| value: update.value, | ||
| timestamp: update.timestamp || Date.now(), | ||
| }), | ||
| category: "blackboard", | ||
| tags: ["blackboard", update.type, update.key], | ||
| lastUpdated: new Date(), | ||
| }); | ||
|
|
||
| this.logger.debug("updateBlackboard", "Stored blackboard update", { | ||
| update, | ||
| }); | ||
| } catch (error) { | ||
| this.logger.error( | ||
| "updateBlackboard", | ||
| "Failed to store blackboard update", | ||
| { | ||
| error, | ||
| } | ||
| ); | ||
| } | ||
| } | ||
|
|
||
| // Add type safety to event emitter | ||
| export declare interface ChainOfThought { | ||
| on<K extends keyof ChainOfThoughtEvents>( | ||
| event: K, | ||
| listener: ChainOfThoughtEvents[K] | ||
| ): this; | ||
| emit<K extends keyof ChainOfThoughtEvents>( | ||
| event: K, | ||
| ...args: Parameters<ChainOfThoughtEvents[K]> | ||
| ): boolean; | ||
| private async getBlackboardState(): Promise<Record<string, any>> { | ||
| try { | ||
| // Use findDocumentsByCategory to get all blackboard documents | ||
| const blackboardDocs = await this.memory.searchDocumentsByTag([ | ||
| "blackboard", | ||
| ]); | ||
|
|
||
| // Build current state by applying updates in order | ||
| const state: Record<string, any> = {}; | ||
|
|
||
| blackboardDocs | ||
| .sort((a, b) => { | ||
| const aContent = JSON.parse(a.content); | ||
| const bContent = JSON.parse(b.content); | ||
| return aContent.timestamp - bContent.timestamp; | ||
| }) | ||
| .forEach((doc) => { | ||
| const update = JSON.parse(doc.content); | ||
| if (!state[update.type]) { | ||
| state[update.type] = {}; | ||
| } | ||
| state[update.type][update.key] = update.value; | ||
| }); | ||
|
|
||
| return state; | ||
| } catch (error) { | ||
| this.logger.error( | ||
| "getBlackboardState", | ||
| "Failed to get blackboard state", | ||
| { | ||
| error, | ||
| } | ||
| ); | ||
| return {}; | ||
| } | ||
| } | ||
|
|
||
| private async getBlackboardHistory( | ||
| type?: string, | ||
| key?: string, | ||
| limit: number = 10 | ||
| ): Promise<any[]> { | ||
| try { | ||
| // Use searchDocumentsByTag to find relevant documents | ||
| const tags = ["blackboard"]; | ||
| if (type) tags.push(type); | ||
| if (key) tags.push(key); | ||
|
|
||
| const docs = await this.memory.searchDocumentsByTag(tags, limit); | ||
|
|
||
| return docs | ||
| .map((doc) => ({ | ||
| ...JSON.parse(doc.content), | ||
| id: doc.id, | ||
| lastUpdated: doc.lastUpdated, | ||
| })) | ||
| .sort((a, b) => b.timestamp - a.timestamp); | ||
| } catch (error) { | ||
| this.logger.error( | ||
| "getBlackboardHistory", | ||
| "Failed to get blackboard history", | ||
| { | ||
| error, | ||
| } | ||
| ); | ||
| return []; | ||
| } | ||
| } |
There was a problem hiding this comment.
Add data validation for blackboard operations.
The blackboard operations need input validation to prevent invalid state updates.
Add validation for blackboard updates:
private async updateBlackboard(update: {
type: "resource" | "state" | "event" | "achievement";
key: string;
value: any;
timestamp: number;
metadata?: Record<string, any>;
}): Promise<void> {
+ // Validate update
+ if (!update.key || update.key.length > 100) {
+ throw new Error("Invalid key length");
+ }
+
+ if (update.value === undefined || update.value === null) {
+ throw new Error("Value cannot be null or undefined");
+ }
+
+ if (update.timestamp > Date.now()) {
+ throw new Error("Timestamp cannot be in the future");
+ }
try {
await this.memory.storeDocument({📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| private async updateBlackboard(update: { | |
| type: "resource" | "state" | "event" | "achievement"; | |
| key: string; | |
| value: any; | |
| timestamp: number; | |
| metadata?: Record<string, any>; | |
| }): Promise<void> { | |
| try { | |
| await this.memory.storeDocument({ | |
| title: `Blackboard Update: ${update.type} - ${update.key}`, | |
| content: JSON.stringify({ | |
| ...update, | |
| value: update.value, | |
| timestamp: update.timestamp || Date.now(), | |
| }), | |
| category: "blackboard", | |
| tags: ["blackboard", update.type, update.key], | |
| lastUpdated: new Date(), | |
| }); | |
| this.logger.debug("updateBlackboard", "Stored blackboard update", { | |
| update, | |
| }); | |
| } catch (error) { | |
| this.logger.error( | |
| "updateBlackboard", | |
| "Failed to store blackboard update", | |
| { | |
| error, | |
| } | |
| ); | |
| } | |
| } | |
| // Add type safety to event emitter | |
| export declare interface ChainOfThought { | |
| on<K extends keyof ChainOfThoughtEvents>( | |
| event: K, | |
| listener: ChainOfThoughtEvents[K] | |
| ): this; | |
| emit<K extends keyof ChainOfThoughtEvents>( | |
| event: K, | |
| ...args: Parameters<ChainOfThoughtEvents[K]> | |
| ): boolean; | |
| private async getBlackboardState(): Promise<Record<string, any>> { | |
| try { | |
| // Use findDocumentsByCategory to get all blackboard documents | |
| const blackboardDocs = await this.memory.searchDocumentsByTag([ | |
| "blackboard", | |
| ]); | |
| // Build current state by applying updates in order | |
| const state: Record<string, any> = {}; | |
| blackboardDocs | |
| .sort((a, b) => { | |
| const aContent = JSON.parse(a.content); | |
| const bContent = JSON.parse(b.content); | |
| return aContent.timestamp - bContent.timestamp; | |
| }) | |
| .forEach((doc) => { | |
| const update = JSON.parse(doc.content); | |
| if (!state[update.type]) { | |
| state[update.type] = {}; | |
| } | |
| state[update.type][update.key] = update.value; | |
| }); | |
| return state; | |
| } catch (error) { | |
| this.logger.error( | |
| "getBlackboardState", | |
| "Failed to get blackboard state", | |
| { | |
| error, | |
| } | |
| ); | |
| return {}; | |
| } | |
| } | |
| private async getBlackboardHistory( | |
| type?: string, | |
| key?: string, | |
| limit: number = 10 | |
| ): Promise<any[]> { | |
| try { | |
| // Use searchDocumentsByTag to find relevant documents | |
| const tags = ["blackboard"]; | |
| if (type) tags.push(type); | |
| if (key) tags.push(key); | |
| const docs = await this.memory.searchDocumentsByTag(tags, limit); | |
| return docs | |
| .map((doc) => ({ | |
| ...JSON.parse(doc.content), | |
| id: doc.id, | |
| lastUpdated: doc.lastUpdated, | |
| })) | |
| .sort((a, b) => b.timestamp - a.timestamp); | |
| } catch (error) { | |
| this.logger.error( | |
| "getBlackboardHistory", | |
| "Failed to get blackboard history", | |
| { | |
| error, | |
| } | |
| ); | |
| return []; | |
| } | |
| } | |
| private async updateBlackboard(update: { | |
| type: "resource" | "state" | "event" | "achievement"; | |
| key: string; | |
| value: any; | |
| timestamp: number; | |
| metadata?: Record<string, any>; | |
| }): Promise<void> { | |
| // Validate update | |
| if (!update.key || update.key.length > 100) { | |
| throw new Error("Invalid key length"); | |
| } | |
| if (update.value === undefined || update.value === null) { | |
| throw new Error("Value cannot be null or undefined"); | |
| } | |
| if (update.timestamp > Date.now()) { | |
| throw new Error("Timestamp cannot be in the future"); | |
| } | |
| try { | |
| await this.memory.storeDocument({ | |
| title: `Blackboard Update: ${update.type} - ${update.key}`, | |
| content: JSON.stringify({ | |
| ...update, | |
| value: update.value, | |
| timestamp: update.timestamp || Date.now(), | |
| }), | |
| category: "blackboard", | |
| tags: ["blackboard", update.type, update.key], | |
| lastUpdated: new Date(), | |
| }); | |
| this.logger.debug("updateBlackboard", "Stored blackboard update", { | |
| update, | |
| }); | |
| } catch (error) { | |
| this.logger.error( | |
| "updateBlackboard", | |
| "Failed to store blackboard update", | |
| { | |
| error, | |
| } | |
| ); | |
| } | |
| } | |
| private async getBlackboardState(): Promise<Record<string, any>> { | |
| try { | |
| // Use findDocumentsByCategory to get all blackboard documents | |
| const blackboardDocs = await this.memory.searchDocumentsByTag([ | |
| "blackboard", | |
| ]); | |
| // Build current state by applying updates in order | |
| const state: Record<string, any> = {}; | |
| blackboardDocs | |
| .sort((a, b) => { | |
| const aContent = JSON.parse(a.content); | |
| const bContent = JSON.parse(b.content); | |
| return aContent.timestamp - bContent.timestamp; | |
| }) | |
| .forEach((doc) => { | |
| const update = JSON.parse(doc.content); | |
| if (!state[update.type]) { | |
| state[update.type] = {}; | |
| } | |
| state[update.type][update.key] = update.value; | |
| }); | |
| return state; | |
| } catch (error) { | |
| this.logger.error( | |
| "getBlackboardState", | |
| "Failed to get blackboard state", | |
| { | |
| error, | |
| } | |
| ); | |
| return {}; | |
| } | |
| } | |
| private async getBlackboardHistory( | |
| type?: string, | |
| key?: string, | |
| limit: number = 10 | |
| ): Promise<any[]> { | |
| try { | |
| // Use searchDocumentsByTag to find relevant documents | |
| const tags = ["blackboard"]; | |
| if (type) tags.push(type); | |
| if (key) tags.push(key); | |
| const docs = await this.memory.searchDocumentsByTag(tags, limit); | |
| return docs | |
| .map((doc) => ({ | |
| ...JSON.parse(doc.content), | |
| id: doc.id, | |
| lastUpdated: doc.lastUpdated, | |
| })) | |
| .sort((a, b) => b.timestamp - a.timestamp); | |
| } catch (error) { | |
| this.logger.error( | |
| "getBlackboardHistory", | |
| "Failed to get blackboard history", | |
| { | |
| error, | |
| } | |
| ); | |
| return []; | |
| } | |
| } |
There was a problem hiding this comment.
Actionable comments posted: 0
🧹 Nitpick comments (3)
packages/core/src/core/chain-of-thought.ts (3)
30-36: Consider making the horizon type more flexible.The
horizonproperty inRefinedGoalinterface is hardcoded to"short". This might be too restrictive if you need to refine goals with different horizons in the future.Consider using the
HorizonTypethat's already imported:- horizon: "short"; + horizon: HorizonType;
53-53: Consider making memory property private with public accessor methods.Exposing the memory property as public might break encapsulation. Consider making it private and providing specific public methods for necessary memory operations.
Consider this approach:
- public memory: VectorDB; + private memory: VectorDB; + + public async searchMemory(query: string, limit: number): Promise<Documentation[]> { + return this.memory.findSimilarDocuments(query, limit); + }
1314-1322: Add validation for experience data before storage.The experience object should be validated before being stored to ensure data integrity.
const experience = { timestamp: new Date(), action: actionWithResult, outcome: formattedOutcome, context: this.context, importance: calculatedImportance, emotions, }; + // Validate experience object + if (!experience.action || !experience.outcome) { + throw new Error("Invalid experience: action and outcome are required"); + } + if (!Array.isArray(experience.emotions)) { + throw new Error("Invalid experience: emotions must be an array"); + } + if (typeof experience.importance !== "number" || experience.importance < 0 || experience.importance > 1) { + throw new Error("Invalid experience: importance must be a number between 0 and 1"); + } await this.memory.storeEpisode(experience);
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packages/core/src/core/chain-of-thought.ts(18 hunks)
🔇 Additional comments (3)
packages/core/src/core/chain-of-thought.ts (3)
1460-1492: 🛠️ Refactor suggestionAdd input validation for blackboard updates.
The
updateBlackboardmethod should validate its input parameters before processing.private async updateBlackboard(update: { type: "resource" | "state" | "event" | "achievement"; key: string; value: any; timestamp: number; metadata?: Record<string, any>; }): Promise<void> { + // Validate update parameters + if (!update.key || update.key.length > 100) { + throw new Error("Invalid key length"); + } + if (update.value === undefined || update.value === null) { + throw new Error("Value cannot be null or undefined"); + } + if (update.timestamp > Date.now()) { + throw new Error("Timestamp cannot be in the future"); + } + try {Likely invalid or redundant comment.
1595-1595: 🛠️ Refactor suggestionReplace console.log with logger.
Direct use of
console.logshould be replaced with the class's logger instance for consistent logging.- console.log("responseText", responseText); + this.logger.debug("getValidatedLLMResponse", "Parsed response text", { responseText });Likely invalid or redundant comment.
1586-1588: 🛠️ Refactor suggestionAdd timeout handling for LLM operations.
The LLM client call should include a timeout to prevent hanging operations.
- const response = await this.llmClient.analyze(formattedPrompt, { - system: systemPrompt, - }); + const response = await Promise.race([ + this.llmClient.analyze(formattedPrompt, { + system: systemPrompt, + }), + new Promise((_, reject) => + setTimeout(() => reject(new Error("LLM response timeout")), 30000) + ) + ]);Likely invalid or redundant comment.
There was a problem hiding this comment.
Actionable comments posted: 1
🔭 Outside diff range comments (1)
packages/core/src/core/chain-of-thought.ts (1)
Line range hint
636-650: Add structured validation criteria to validateGoalSuccess.The goal validation logic relies heavily on LLM interpretation without structured criteria. Consider adding explicit validation rules.
private async validateGoalSuccess(goal: Goal): Promise<boolean> { const blackboardState = await this.getBlackboardState(); + + // Define structured validation criteria + const validationRules = { + requiredResources: (state: any) => { + return goal.required_resources?.every(resource => + state.resources?.[resource] !== undefined + ); + }, + successCriteria: (state: any) => { + return goal.success_criteria?.every(criteria => + // Add specific criteria validation logic + this.validateCriteria(criteria, state) + ); + } + }; + + // Validate against structured rules first + const structuredValidation = Object.values(validationRules) + .every(rule => rule(blackboardState)); + + if (!structuredValidation) { + return false; + } const prompt = ` <goal_validation>
🧹 Nitpick comments (3)
packages/core/src/core/chain-of-thought.ts (3)
30-44: Add JSDoc documentation for interfaces.The newly added interfaces
RefinedGoalandLLMValidationOptions<T>would benefit from JSDoc documentation explaining their purpose and parameters.Add documentation like this:
+/** + * Represents a refined goal with specific success criteria and requirements. + */ interface RefinedGoal { description: string; success_criteria: string[]; priority: number; horizon: "short"; requirements: Record<string, any>; } +/** + * Options for validating LLM responses against a schema. + * @template T The expected type of the validated response + */ interface LLMValidationOptions<T> { prompt: string; systemPrompt: string; schema: z.ZodSchema<T>; maxRetries?: number; onRetry?: (error: Error, attempt: number) => void; }
53-53: Consider making memory property private with public accessor methods.Making the memory property public exposes internal implementation details and could lead to encapsulation issues. Consider making it private and providing specific public methods for memory operations.
- public memory: VectorDB; + private memory: VectorDB; + + /** + * Get the memory instance for specific operations + */ + public getMemory(): VectorDB { + return this.memory; + }
1345-1358: Enhance emotion determination logic.The current emotion determination is overly simplistic and could miss nuanced emotional states. Consider using a more comprehensive approach.
-const resultLower = resultStr.toLowerCase(); -const emotions: string[] = []; - -// Success/failure emotions -const isFailure = - resultLower.includes("error") || resultLower.includes("failed"); -const isHighImportance = importance > 0.7; - -if (isFailure) { - emotions.push("frustrated"); - if (isHighImportance) emotions.push("concerned"); -} else { - emotions.push("satisfied"); - if (isHighImportance) emotions.push("excited"); -} +const emotionMap = { + positive: { + high: ["excited", "triumphant"], + medium: ["satisfied", "confident"], + low: ["content", "calm"] + }, + negative: { + high: ["frustrated", "concerned"], + medium: ["disappointed", "uncertain"], + low: ["hesitant", "cautious"] + } +}; + +const emotions: string[] = []; +const resultLower = resultStr.toLowerCase(); + +// Determine success/failure +const isFailure = resultLower.includes("error") || + resultLower.includes("failed") || + resultLower.includes("exception"); + +// Determine intensity based on importance and complexity +const intensity = importance > 0.7 ? "high" : + importance > 0.3 ? "medium" : "low"; + +// Add primary emotion +emotions.push(...emotionMap[isFailure ? "negative" : "positive"][intensity]);
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packages/core/src/core/chain-of-thought.ts(18 hunks)
🔇 Additional comments (2)
packages/core/src/core/chain-of-thought.ts (2)
1506-1516: Add error handling for JSON parsing in getBlackboardState.The JSON parsing operations lack error handling which could lead to runtime errors.
This issue was previously identified in the past reviews. The suggested fix remains valid.
1563-1650: Add timeout handling for LLM operations.The LLM response validation should include a timeout mechanism to prevent hanging.
This issue was previously identified in the past reviews. The suggested timeout handling implementation remains valid.
Co-authored-by: coderabbitai[bot] <136622811+coderabbitai[bot]@users.noreply.github.com>
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Actionable comments posted: 5
♻️ Duplicate comments (4)
packages/core/src/core/llm-client.ts (2)
32-32: 🛠️ Refactor suggestionRemove empty initialization method.
The
initializeClientmethod is empty and appears to be unused.
104-105:⚠️ Potential issueUpdate the default model to match OpenRouter.
The default model still references Anthropic's model, which should be updated to an OpenRouter-compatible model.
packages/core/src/core/chain-of-thought.ts (2)
1486-1499:⚠️ Potential issueAdd error handling for JSON parsing in getBlackboardState.
The function performs unsafe JSON parsing without proper error handling, which could crash the application.
This issue was previously identified in past reviews. The same fix is still needed:
blackboardDocs .sort((a, b) => { - const aContent = JSON.parse(a.content); - const bContent = JSON.parse(b.content); + let aContent; + let bContent; + try { + aContent = JSON.parse(a.content); + bContent = JSON.parse(b.content); + } catch (error) { + this.logger.error("getBlackboardState", "Failed to parse blackboard document content", { error }); + return 0; // Keep original order if parsing fails + } return aContent.timestamp - bContent.timestamp; }) .forEach((doc) => { - const update = JSON.parse(doc.content); + let update; + try { + update = JSON.parse(doc.content); + } catch (error) { + this.logger.error("getBlackboardState", "Failed to parse blackboard document content", { error }); + return; + } if (!state[update.type]) { state[update.type] = {}; }
1545-1551:⚠️ Potential issueAdd timeout handling for LLM operations.
The LLM validation lacks timeout handling, which could lead to hanging operations.
This issue was previously identified in past reviews. The same enhancement is still needed:
private async getValidatedLLMResponse<T>({ prompt, systemPrompt, schema, maxRetries = 3, onRetry, + timeout = 30000, // 30 second default timeout }: LLMValidationOptions<T>): Promise<T> {
🧹 Nitpick comments (6)
packages/core/src/core/env.ts (1)
12-12: Consider grouping related environment variables.For better readability and maintenance, consider grouping related environment variables together. The
OPENROUTER_API_KEYcould be placed near other API-related variables likeOPENAI_API_KEY.TWITTER_USERNAME: z.string(), TWITTER_PASSWORD: z.string(), TWITTER_EMAIL: z.string(), OPENAI_API_KEY: z.string(), + OPENROUTER_API_KEY: z.string(), CHROMA_URL: z.string().default("http://localhost:8000"), STARKNET_RPC_URL: z.string(), STARKNET_ADDRESS: z.string(), STARKNET_PRIVATE_KEY: z.string(), - OPENROUTER_API_KEY: z.string(), GRAPHQL_URL: z.string(),packages/core/src/core/llm-client.ts (2)
12-28: Consider adding validation for configuration values.While the default values are sensible, it would be beneficial to add validation for user-provided values to ensure they are within acceptable ranges (e.g., temperature between 0 and 1).
144-165: Consider extracting system message to a constant.The system message for JSON formatting could be moved to a constant for better maintainability and reuse.
+ private static readonly JSON_SYSTEM_MESSAGE = "\n\nProvide response in JSON format."; async analyze( prompt: string, options: AnalysisOptions = {} ): Promise<string | StructuredAnalysis> { // ... const response = await generateText({ model: openrouter(this.config.model), temperature, messages: [ { role: "system", - content: "\n\nProvide response in JSON format.", + content: LLMClient.JSON_SYSTEM_MESSAGE, }, // ... ], });packages/core/src/types/index.ts (3)
118-130: Enhance error handling in ActionStep interface.The
errorproperty inActionStepcould be more specific and structured to improve error handling and debugging.Consider this enhancement:
export interface ActionStep extends BaseStep { type: "action"; content: string; toolCall?: { name: string; arguments: any; id: string; }; - error?: Error; + error?: { + type: string; + message: string; + code?: string; + details?: Record<string, unknown>; + timestamp: number; + }; observations?: string; actionOutput?: any; duration?: number; }
179-188: Add validation constraints for goal scoring.The
outcomeScoreand score history lack validation constraints, which could lead to inconsistent scoring across the application.Consider adding these constraints:
- outcomeScore?: number; + outcomeScore?: number & { __brand: 'ValidatedScore' }; // Using TypeScript branded types + scoreRange: { + min: number; + max: number; + step?: number; + }; scoreHistory?: Array<{ timestamp: number; score: number; + validator: (score: number) => boolean; comment?: string; }>;
229-251: Standardize event metadata structure.The events have inconsistent metadata structures. Some events include detailed data while others lack context that could be valuable for logging and debugging.
Consider standardizing the event metadata:
export interface ChainOfThoughtEvents { + // Base event metadata + interface BaseEventMetadata { + timestamp: number; + correlationId: string; + source: string; + } + step: (step: Step) => void; - "action:start": (action: CoTAction) => void; + "action:start": (data: { action: CoTAction } & BaseEventMetadata) => void; "action:complete": (data: { action: CoTAction; result: string }) => void; // ... apply similar pattern to other events }
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📒 Files selected for processing (7)
examples/example-basic.ts(3 hunks)examples/example-goal.ts(4 hunks)examples/example-twitter.ts(1 hunks)packages/core/src/core/chain-of-thought.ts(18 hunks)packages/core/src/core/env.ts(1 hunks)packages/core/src/core/llm-client.ts(4 hunks)packages/core/src/types/index.ts(1 hunks)
🚧 Files skipped from review as they are similar to previous changes (2)
- examples/example-goal.ts
- examples/example-basic.ts
🔇 Additional comments (2)
examples/example-twitter.ts (1)
24-24: Document the model choice and verify compatibility.While "deepseek/deepseek-r1" might be a "clutch model", it would be helpful to:
- Document why this specific model was chosen
- Verify its compatibility with OpenRouter
- Consider adding a constant for the model name to maintain consistency
packages/core/src/core/llm-client.ts (1)
2-11: LGTM! Clean import organization.The imports are well-organized, with types separated from implementation imports.
| private async call( | ||
| prompt: string, | ||
| signal: AbortSignal | ||
| ): Promise<LLMResponse> { | ||
| if (!this.anthropic) throw new Error("Anthropic client not initialized"); | ||
|
|
||
| const response = await this.anthropic.messages.create( | ||
| { | ||
| model: this.config.model, | ||
| max_tokens: this.config.maxTokens, | ||
| temperature: this.config.temperature, | ||
| messages: [{ role: "user", content: prompt }], | ||
| }, | ||
| { signal }, | ||
| ); | ||
| const response = await generateText({ | ||
| model: openrouter(this.config.model), | ||
| prompt, | ||
| abortSignal: signal, | ||
| }); | ||
|
|
||
| return { | ||
| text: response.content[0].type === "text" ? response.content[0].text : "", | ||
| text: response.text, | ||
| model: this.config.model, | ||
| usage: { | ||
| prompt_tokens: response.usage.input_tokens, | ||
| completion_tokens: response.usage.output_tokens, | ||
| total_tokens: response.usage.input_tokens + | ||
| response.usage.output_tokens, | ||
| prompt_tokens: response.usage.promptTokens, | ||
| completion_tokens: response.usage.completionTokens, | ||
| total_tokens: | ||
| response.usage.promptTokens + response.usage.completionTokens, | ||
| }, | ||
| metadata: { | ||
| stop_reason: response.stop_reason, | ||
| stop_reason: response.finishReason, | ||
| }, | ||
| }; |
There was a problem hiding this comment.
🛠️ Refactor suggestion
Add error handling for OpenRouter API responses.
The call method should include explicit error handling for OpenRouter-specific error cases. Also, consider adding type assertions or runtime checks for the response structure.
private async call(
prompt: string,
signal: AbortSignal
): Promise<LLMResponse> {
+ try {
const response = await generateText({
model: openrouter(this.config.model),
prompt,
abortSignal: signal,
});
+ if (!response?.usage) {
+ throw new Error('Invalid response format from OpenRouter API');
+ }
return {
text: response.text,
model: this.config.model,
usage: {
prompt_tokens: response.usage.promptTokens,
completion_tokens: response.usage.completionTokens,
total_tokens:
response.usage.promptTokens + response.usage.completionTokens,
},
metadata: {
stop_reason: response.finishReason,
},
};
+ } catch (error) {
+ throw new LLMError(`OpenRouter API error: ${error.message}`, 'openrouter', error);
+ }
}Committable suggestion skipped: line range outside the PR's diff.
| export type HorizonType = "long" | "medium" | "short"; | ||
| export type GoalStatus = | ||
| | "pending" | ||
| | "active" | ||
| | "completed" | ||
| | "failed" | ||
| | "ready" | ||
| | "blocked"; |
There was a problem hiding this comment.
🛠️ Refactor suggestion
Add explicit status transition constraints.
The GoalStatus type allows any transition between states, which could lead to invalid state changes (e.g., from "failed" to "active").
Consider adding a type to define valid status transitions:
export const VALID_GOAL_TRANSITIONS: Record<GoalStatus, GoalStatus[]> = {
pending: ["active", "blocked"],
active: ["completed", "failed", "blocked"],
completed: [], // Terminal state
failed: ["pending"], // Can retry
ready: ["active", "blocked"],
blocked: ["ready", "pending"]
};| // Initialize single memory system | ||
| this.memory = new ChromaVectorDB("agent_memory", { | ||
| chromaUrl: config.chromaUrl, | ||
| logLevel: config.logLevel, | ||
| }); | ||
| } | ||
|
|
||
| private registerDefaultActions() { | ||
| this.actionRegistry.set("SYSTEM_PROMPT", systemPromptAction); | ||
| this.memory = memory; |
There was a problem hiding this comment.
Add memory validation and error handling.
The memory initialization lacks validation and error handling for the VectorDB instance.
Add validation:
- // Initialize single memory system
- this.memory = memory;
+ if (!memory) {
+ throw new Error('VectorDB instance is required');
+ }
+ if (typeof memory.storeDocument !== 'function' ||
+ typeof memory.findSimilarDocuments !== 'function') {
+ throw new Error('Invalid VectorDB instance: missing required methods');
+ }
+ this.memory = memory;📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| // Initialize single memory system | |
| this.memory = new ChromaVectorDB("agent_memory", { | |
| chromaUrl: config.chromaUrl, | |
| logLevel: config.logLevel, | |
| }); | |
| } | |
| private registerDefaultActions() { | |
| this.actionRegistry.set("SYSTEM_PROMPT", systemPromptAction); | |
| this.memory = memory; | |
| if (!memory) { | |
| throw new Error('VectorDB instance is required'); | |
| } | |
| if (typeof memory.storeDocument !== 'function' || | |
| typeof memory.findSimilarDocuments !== 'function') { | |
| throw new Error('Invalid VectorDB instance: missing required methods'); | |
| } | |
| this.memory = memory; |
| while (attempts < maxRetries) { | ||
| try { | ||
| const response = await this.llmClient.analyze(formattedPrompt, { | ||
| system: systemPrompt, | ||
| }); | ||
|
|
There was a problem hiding this comment.
🛠️ Refactor suggestion
Implement rate limiting for LLM requests.
The retry mechanism could potentially overwhelm the LLM service without proper rate limiting.
Add rate limiting:
+ private rateLimiter = new RateLimiter({
+ tokensPerInterval: 50,
+ interval: 'minute'
+ });
+
while (attempts < maxRetries) {
try {
+ await this.rateLimiter.removeTokens(1);
const response = await this.llmClient.analyze(formattedPrompt, {
system: systemPrompt,
});Committable suggestion skipped: line range outside the PR's diff.
| private llmClient: LLMClient, | ||
| memory: VectorDB, | ||
| initialContext?: ChainOfThoughtContext, | ||
| config: { | ||
| chromaUrl?: string; | ||
| logLevel?: LogLevel; | ||
| } = {} | ||
| ) { | ||
| super(); |
There was a problem hiding this comment.
🛠️ Refactor suggestion
Refactor constructor to reduce complexity.
The constructor handles multiple initialization concerns, which violates the Single Responsibility Principle.
Consider breaking down the initialization:
constructor(
private llmClient: LLMClient,
memory: VectorDB,
initialContext?: ChainOfThoughtContext,
- config: {
- logLevel?: LogLevel;
- } = {}
+ config: ChainOfThoughtConfig = {}
) {
super();
+ this.initializeEventEmitter();
+ this.initializeLogger(config);
+ this.initializeMemory(memory);
+ this.initializeContext(initialContext);
+ this.initializeGoalManager();
+ this.registerDefaultActions();
}
+interface ChainOfThoughtConfig {
+ logLevel?: LogLevel;
+ memoryConfig?: {
+ maxDocuments?: number;
+ pruningStrategy?: 'lru' | 'importance';
+ };
+ contextConfig?: {
+ snapshotInterval?: number;
+ };
+}Committable suggestion skipped: line range outside the PR's diff.
Summary by CodeRabbit
Release Notes
New Features
Bug Fixes
Refactor
Documentation
This update enhances the framework for managing agent goals and memories, improving type safety and error handling.