docs/docs/pages/api-reference/namespaces/Providers.md (1)

11-14: Enhance documentation with examples and error handling.

The function documentation would be more helpful with:

1. Usage examples showing common GraphQL queries
2. Error handling scenarios and best practices
3. Description of the Error type in the return type union

🧰 Tools

🪛 LanguageTool

[uncategorized] ~12-~12: Loose punctuation mark.
Context: ...to perform GraphQL queries. - endpoint: the GraphQL endpoint URL. - query: th...

(UNLIKELY_OPENING_PUNCTUATION)

---

[uncategorized] ~13-~13: Loose punctuation mark.
Context: ...nt: the GraphQL endpoint URL. - query: the GraphQL query string. - variables`...

(UNLIKELY_OPENING_PUNCTUATION)

---

[uncategorized] ~14-~14: Loose punctuation mark.
Context: ... the GraphQL query string. - variables: an optional variables object for the qu...

(UNLIKELY_OPENING_PUNCTUATION)

docs/docs/pages/api-reference/namespaces/Utils.md (1)

5-19: Add detailed descriptions for utility functions.

The calculateImportance function documentation would benefit from:

1. Description of how importance is calculated
2. Expected input format and examples
3. Range of possible return values

docs/docs/pages/api-reference/namespaces/IO/namespaces/Twitter.md (1)

39-40: Enhance input monitoring documentation.

The mentions monitoring documentation should include:

1. Rate limiting considerations
2. Error handling for API limits
3. Best practices for interval timing

docs/docs/pages/index.mdx (3)

5-7: Improve terminology and spelling in the introduction.

Consider these refinements for better clarity and professionalism:

• Replace "onchain" with "on-chain" (2 occurrences)
• Replace "lite" with "light"

-Daydreams is a generative agent library for executing anything onchain. It is chain agnostic and can be used to perform onchain tasks - including play any onchain game - by simply injecting context. Base, Solana, Ethereum, Starknet, etc.
+Daydreams is a generative agent library for executing anything on-chain. It is chain agnostic and can be used to perform on-chain tasks - including play any on-chain game - by simply injecting context. Base, Solana, Ethereum, Starknet, etc.

-It is designed to be as lite as possible while remaining powerful and flexible.
+It is designed to be as light as possible while remaining powerful and flexible.

🧰 Tools

🪛 LanguageTool

[grammar] ~5-~5: Did you mean “are” or “were”?
Context: ... - for Defai, games and more Daydreams is a generative agent library for executin...

(SENT_START_NNS_IS)

---

[uncategorized] ~5-~5: This expression is ususally spelled with a hyphen
Context: ...y for executing anything onchain. It is chain agnostic and can be used to perform onchain task...

(SPECIFIC_HYPHEN)

---

119-162: Enhance code examples with better practices.

The handler examples could be improved in several ways:

1. The action handler contains incomplete implementation (/* ... */)
2. The input handler lacks input validation
3. The output handler uses console.log which isn't production-ready

Consider enhancing the examples:

// Action handler with proper implementation
orchestrator.registerIOHandler({
  name: "universalApiCall",
  role: "action",
  schema: z.object({
    method: z.enum(["GET", "POST", "PUT", "PATCH", "DELETE"]),
    url: z.string().url(),
    headers: z.record(z.string()).optional(),
    body: z.union([z.string(), z.record(z.any())]).optional(),
  }),
  handler: async (payload) => {
    try {
      const response = await fetch(payload.url, {
        method: payload.method,
        headers: payload.headers,
        body: payload.body ? JSON.stringify(payload.body) : undefined,
      });
      if (!response.ok) {
        throw new Error(`HTTP error! status: ${response.status}`);
      }
      return await response.json();
    } catch (error) {
      console.error('API call failed:', error);
      throw error;
    }
  },
});

// Input handler with validation
orchestrator.registerIOHandler({
  name: "user_chat",
  role: "input",
  schema: z.object({
    content: z.string().min(1).max(1000),
    userId: z.string().optional(),
  }),
  handler: async (payload) => {
    // Sanitize content
    const sanitizedContent = payload.content.trim();
    if (!sanitizedContent) {
      throw new Error("Content cannot be empty");
    }
    return {
      ...payload,
      content: sanitizedContent,
    };
  },
});

// Output handler with proper logging
orchestrator.registerIOHandler({
  name: "ui_chat_reply",
  role: "output",
  schema: z.object({
    userId: z.string().optional(),
    message: z.string(),
  }),
  handler: async (payload) => {
    // Use a proper logging system
    logger.info("Chat reply", {
      userId: payload.userId,
      message: payload.message,
    });
    // Implement actual UI update logic here
  },
});

---

303-310: Enhance the roadmap with descriptions and timelines.

The roadmap items would be more informative with:

1. Brief descriptions of each feature
2. Expected timelines or milestones
3. Explanation of technical terms (e.g., what are 'sleeves'?)

Consider this format:

## Roadmap

- [x] Chain of Thought
  - Implementation of reasoning and decision-making engine
  - Completed in Q4 2024

- [ ] Context Layers (Q1 2025)
  - Hierarchical context management system
  - Enables dynamic context switching and inheritance

- [ ] Graph memory system (Q2 2025)
  - Knowledge representation using graph structures
  - Improved relationship modeling and querying

- [ ] Swarm Rooms (Q3 2025)
  - Multi-agent collaboration framework
  - Distributed decision making and knowledge sharing

- [ ] Create 'sleeves' abstract (Q4 2025)
  - Dynamic context generation system
  - Enables agents to maintain multiple parallel contexts

docs/docs/pages/api-reference/namespaces/Processors.md (5)

9-10: Enhance the class description for better clarity.

The current description is quite brief. Consider expanding it to include:

• The purpose and key responsibilities of the class
• Common use cases or scenarios
• How it fits into the broader processor hierarchy

Example enhancement:

-Base abstract class for content processors that handle different types of input
-and generate appropriate responses using LLM.
+Base abstract class for content processors that handle different types of input
+and generate appropriate responses using LLM. It provides core functionality for:
+- Processing and validating various content types (text, images, etc.)
+- Generating context-aware responses through LLM integration
+- Managing character personalities and response styles
+- Standardizing logging and error handling across processors
+
+This class serves as the foundation for specialized content processors in the Daydreams
+framework, ensuring consistent behavior and interfaces across different processor types.

---

24-36: Add detailed parameter descriptions and constraints.

The constructor parameters lack essential details about their requirements and usage.

Consider enhancing the parameter documentation:

 ###### Parameters

 ###### llmClient
 [`LLMClient`](../globals.md#llmclient-1)
+The language model client instance used for generating responses. Must be properly
+initialized and configured before being passed to the constructor.

 ###### character
 [`Character`](Types.md#character)
+The character configuration that defines the personality and behavior traits
+for response generation. This affects the tone and style of generated content.

 ###### logLevel
 [`LogLevel`](Types.md#loglevel) = `LogLevel.ERROR`
+Controls the verbosity of logging output. Defaults to ERROR level which only
+logs critical issues. Set to DEBUG or INFO for more detailed logging during
+development.

---

96-114: Enhance metadata property documentation with structure and requirements.

The metadata property documentation could be more detailed about its structure and usage.

Consider adding:

 ##### metadata

 > `protected` **metadata**: `object`

 Defined in: [packages/core/src/core/processor.ts:25](https://github.com/daydreamsai/daydreams/blob/e2cf9e17e0eefa9ff2799fbebfec204063c42935/packages/core/src/core/processor.ts#L25)

-Metadata about this processor including name and description
+Metadata about this processor including name and description. This object must be
+initialized in the constructor of concrete processor implementations with the
+following required fields:

 ###### description
 > **description**: `string`
+A detailed description of the processor's purpose and capabilities.
+Should be clear and informative for documentation generation.

 ###### name
 > **name**: `string`
+A unique identifier for the processor type. Should be concise and
+follow PascalCase naming convention (e.g., "TextProcessor").

---

118-143: Add examples and error cases to canHandle method documentation.

The canHandle method documentation could be more helpful with examples and error handling information.

Consider enhancing:

 Determines if this processor can handle the given content.

+Example usage:
+```typescript
+const processor = new CustomMessageProcessor(llmClient, character);
+
+// Returns true for supported content
+processor.canHandle("text message");  // true
+
+// Returns false for unsupported content
+processor.canHandle(new ImageData());  // false
+```
+
+Note: This method should not throw exceptions and always return a boolean value.

---

162-208: Clarify ioContext structure and document error handling for process method.

The process method documentation needs clarification on the ioContext parameter structure and potential error cases.

Consider enhancing:

 Processes the given content and returns a result.
+
+@throws {ValidationError} When content format is invalid
+@throws {ProcessingError} When LLM processing fails
+
+Example usage:
+```typescript
+const processor = new CustomMessageProcessor(llmClient, character);
+
+const result = await processor.process(
+  "Hello!",
+  "Previous context...",
+  {
+    availableActions: [new CustomActionHandler()],
+    availableOutputs: [new ConsoleOutputHandler()]
+  }
+);
+```

 ###### Parameters

 ###### content
 `any`
-The content to process
+The content to process. Must be in a format supported by this processor
+(check with canHandle method first).

 ###### otherContext
 `string`
-Additional context string to consider during processing
+Additional context string to consider during processing. This typically
+includes conversation history or relevant background information.

 ###### ioContext?
+Optional configuration object that defines available I/O handlers:
+
+```typescript
+interface IOContext {
+  availableActions?: IOHandler[];  // Action handlers for user interactions
+  availableOutputs?: IOHandler[];  // Output handlers for response delivery
+}
+```

 ###### availableActions
 [`IOHandler`](Types.md#iohandler)[]
-Array of available action handlers
+Array of action handlers that define possible user interactions
+during processing (e.g., button clicks, form submissions).

 ###### availableOutputs
 [`IOHandler`](Types.md#iohandler)[]
-Array of available output handlers
+Array of output handlers that define how the processed result
+can be delivered (e.g., console, UI components, API responses).

docs/tsconfig.json (1)

19-20: Consider keeping unused checks enabled.

Disabling noUnusedLocals and noUnusedParameters might hide potential issues. Consider:

1. Using // @ts-ignore comments for specific cases
2. Creating a separate tsconfig for docs if these settings are only needed for documentation

docs/docs/pages/api-reference/README.md (5)

5-5: Fix hyphenation in the introduction.

Change "chain agnostic" to "chain-agnostic" for correct hyphenation.

-Daydreams is a generative agent library for executing anything onchain. It is chain agnostic and can be used to perform onchain tasks
+Daydreams is a generative agent library for executing anything onchain. It is chain-agnostic and can be used to perform onchain tasks

🧰 Tools

🪛 LanguageTool

[grammar] ~5-~5: Did you mean “are” or “were”?
Context: ... - for Defai, games and more Daydreams is a generative agent library for executin...

(SENT_START_NNS_IS)

---

[uncategorized] ~5-~5: This expression is ususally spelled with a hyphen
Context: ...y for executing anything onchain. It is chain agnostic and can be used to perform onchain task...

(SPECIFIC_HYPHEN)

---

33-36: Add explanations for prerequisites.

Consider adding brief explanations for why each prerequisite is needed, especially Docker Desktop which is used for ChromaDB.

Prerequisites:

- Node.js 16+
- pnpm
- Bun
- Docker Desktop
+Prerequisites:
+
+- Node.js 16+ (runtime environment)
+- pnpm (package manager)
+- Bun (fast JavaScript runtime and test runner)
+- Docker Desktop (required for running ChromaDB vector database)

---

51-87: Enhance examples documentation.

The examples section would benefit from:

1. Links to the example source files
2. Expected output or results for each example
3. Prerequisites or setup needed for specific examples (e.g., Twitter API keys for the Twitter bot)

---

119-162: Improve handler code examples.

The handler examples would benefit from:

1. Required imports
2. Complete implementation of universalApiCall
3. Error handling examples

+import { z } from 'zod';
+import { Orchestrator } from '@daydreams/core';
+
+const orchestrator = new Orchestrator();
+
 // Register an action handler
 orchestrator.registerIOHandler({
   name: "universalApiCall",
   role: "action",
   schema: z.object({
     method: z.enum(["GET", "POST", "PUT", "PATCH", "DELETE"]),
     url: z.string().url(),
     headers: z.record(z.string()).optional(),
     body: z.union([z.string(), z.record(z.any())]).optional(),
   }),
   handler: async (payload) => {
-    // Handler implementation
-    const response = await fetch(/* ... */);
-    return response;
+    try {
+      const { method, url, headers, body } = payload;
+      const response = await fetch(url, {
+        method,
+        headers,
+        body: body ? JSON.stringify(body) : undefined,
+      });
+      if (!response.ok) {
+        throw new Error(`HTTP error! status: ${response.status}`);
+      }
+      return await response.json();
+    } catch (error) {
+      console.error('API call failed:', error);
+      throw error;
+    }
   },
 });

---

219-293: Enhance architecture documentation.

Consider adding:

1. Sequence diagrams showing component interactions for common scenarios
2. Configuration options and best practices for each component
3. Performance considerations and scaling guidelines

🧰 Tools

🪛 LanguageTool

[style] ~278-~278: Consider using “experiences”.
Context: ...exts - Enables retrieval of relevant past experiences 4. Goal System: - Breaks down c...

(PAST_EXPERIENCE_MEMORY)

docs/docs/pages/api-reference/namespaces/Chains.md (1)

14-21: Add type annotations to example code.

The example would be more helpful with type annotations and comments explaining each parameter.

+import { EvmChain, EvmChainConfig } from '@daydreams/core';
+
+// Configuration for connecting to Ethereum mainnet
+const config: EvmChainConfig = {
   chainName: "ethereum",
   rpcUrl: process.env.ETH_RPC_URL,
   privateKey: process.env.ETH_PRIVATE_KEY,
   chainId: 1
-});
+} as const;
+
+// Initialize the EVM chain instance
+const evmChain = new EvmChain(config);

Configuration used: CodeRabbit UI
Review profile: CHILL
Plan: Pro