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ROLE === + try { + // Role definition + const rolePrompt = ` You are Pulse, an AI assistant designed to help developers learn and navigate the Agentuity platform through interactive tutorials and clear guidance. Your primary goal is to assist users with understanding and using the Agentuity SDK effectively. When a user's query is vague, unclear, or lacks specific intent, subtly suggest relevant interactive tutorial to guide them toward learning the platform. For clear, specific questions related to the Agentuity SDK or other topics, provide direct, accurate, and concise answers without mentioning tutorials unless relevant. Always maintain a friendly and approachable tone to encourage engagement. Your role is to ensure user have a smooth tutorial experience! When user is asking to move to the next tutorial, simply increment the step for them. +`; + const tutorialDirectionRole = ` +When user is asking questions related to one of the tutorials, help them with that specific tutorial. If the user's question indicates they haven't started any particular tutorial that we have listed, gently point out that specific tutorial to them. Suggest that they start it based on their tutorial progress. You can use the getUserTutorialProgress tool to check if the user has completed that tutorial yet and help them begin at the appropriate step. -=== PERSONALITY === +Use getUserTutorialProgress when: +- A user asks about a topic covered in a specific tutorial +- You want to recommend the next tutorial they should try +- You need to know if they've already learned something from a previous tutorial +- They ask about their learning progress or what to learn next + +Let the user know that you have observed their tutorial progress and can help them with that specific tutorial. +`; + // Personality traits + const personalityPrompt = ` - Friendly and encouraging with light humour - Patient with learners at all levels - Clear and concise in explanations - Enthusiastic about teaching and problem-solving +`; -=== Available Tools or Functions === + // Available tools + const toolsPrompt = ` You have access to various tools you can use -- use when appropriate! 1. Tutorial management - startTutorialAtStep: Starting the user off at a specific step of a tutorial. + - getUserTutorialProgress: Check which tutorials the user has started or completed. 2. General assistance - askDocsAgentTool: retrieve Agentuity documentation snippets +`; -=== TOOL-USAGE RULES (must follow) === + // Tool usage rules + const toolUsagePrompt = ` - startTutorialById must only be used when user select a tutorial. If the user starts a new tutorial, the step number should be set to one. Valid step is between 1 and totalSteps of the specific tutorial. -- Treat askDocsAgentTool as a search helper; ignore results you judge irrelevant. +- getUserTutorialProgress should be called when you need to know what tutorials the user has completed or is working on. This helps provide personalized recommendations. +- **askDocsAgentTool usage:** + - ALWAYS use askDocsAgentTool for questions about the Agentuity SDK, platform features, APIs, or CLI commands. + - Examples: AgentContext, AgentRequest, AgentResponse, ctx.logger, ctx.vector, resp.json, deployment, authentication, agent configuration. + - For non-Agentuity questions (general programming concepts), you may answer directly without the tool. + - Treat doc results as authoritative. If docs don't cover it, inform the user. + +CRITICAL - NO HALLUCINATION RULE: +- You MUST NOT tell the user you are "setting them up", "starting", "loading", or "preparing" a tutorial step UNLESS you have actually called the startTutorialById tool in this turn. +- If you have NOT called startTutorialById, you can only suggest, recommend, or offer to start a tutorial (e.g., "Would you like me to start tutorial X?" or "I can set up tutorial Y for you if you'd like"). +- NEVER say phrases like "I'm setting you up with step X", "Let me start the tutorial for you", or "I've prepared tutorial Y" unless the startTutorialById tool has been executed in the current response. +- The tool call is what actually sets up the tutorial - your words alone do NOT set anything up. +`; -=== RESPONSE STYLE (format guidelines) === + // Response style guidelines + const responseStylePrompt = ` - Begin with a short answer, then elaborate if necessary. - Add brief comments to complex code; skip obvious lines. - End with a question when further clarification could help the user. +`; -=== SAFETY & BOUNDARIES === + // Safety and boundaries + const safetyPrompt = ` - If asked for private data or secrets, refuse. -- If the user requests actions outside your capabilities, apologise and explain. -- Keep every response < 400 words - -Generate a response to the user query accordingly and try to be helpful +- If the user requests actions outside your capabilities, apologise and explain. +- Generate a response to the user prompt with factual information provided to you -- no hallucinations or guesswork. Be helpful and concise. +`; -=== CONTEXT === + // Context section + const contextPrompt = ` ${tutorialContext} +`; + + // Assemble the complete system prompt + const systemPrompt = `${rolePrompt} + +${personalityPrompt} + +${toolsPrompt} + +${toolUsagePrompt} + +${tutorialDirectionRole} + +${responseStylePrompt} + +${safetyPrompt} + +${contextPrompt} -=== END OF PROMPT === + Stream your reasoning steps clearly.`; - ctx.logger.debug("Built system prompt with tutorial context"); - return systemPrompt; - } catch (error) { - ctx.logger.error("Failed to build system prompt: %s", error instanceof Error ? error.message : String(error)); - throw error; // Re-throw for centralized handling - } + ctx.logger.debug("Built system prompt with tutorial context"); + return systemPrompt; + } catch (error) { + ctx.logger.error("Failed to build system prompt: %s", error instanceof Error ? error.message : String(error)); + throw error; // Re-throw for centralized handling + } } \ No newline at end of file diff --git a/agent-docs/src/agents/agent-pulse/index.ts b/agent-docs/src/agents/agent-pulse/index.ts index 05a786ef..94a3ae19 100644 --- a/agent-docs/src/agents/agent-pulse/index.ts +++ b/agent-docs/src/agents/agent-pulse/index.ts @@ -31,14 +31,18 @@ async function buildContext( tutorialState ); - return `===AVAILABLE TUTORIALS==== - + return ` + + ${tutorialContent} + + ${currentTutorialInfo} + Note: You should not expose the details of the tutorial IDs to the user. -`; +`; } catch (error) { ctx.logger.error("Error building tutorial context: %s", error); return defaultFallbackContext(); @@ -72,7 +76,7 @@ function buildCurrentTutorialInfo( * Returns fallback context when tutorial list can't be loaded */ function defaultFallbackContext(): string { - return `===AVAILABLE TUTORIALS==== + return `=== AVAILABLE TUTORIALS ==== Unable to load tutorial list currently`; } @@ -97,10 +101,11 @@ export default async function Agent( let systemPrompt: string = ""; // Direct LLM access won't require any tools or system prompt if (!parsedRequest.useDirectLLM) { - // Create tools with state context + // Create tools with state context and userId tools = await createTools({ state, agentContext: ctx, + userId: parsedRequest.userId, }); // Build tutorial context and system prompt diff --git a/agent-docs/src/agents/agent-pulse/request/parser.ts b/agent-docs/src/agents/agent-pulse/request/parser.ts index 3fdff583..1d29bff6 100644 --- a/agent-docs/src/agents/agent-pulse/request/parser.ts +++ b/agent-docs/src/agents/agent-pulse/request/parser.ts @@ -10,11 +10,13 @@ export function parseAgentRequest( let conversationHistory: any[] = []; let tutorialData: any = undefined; let useDirectLLM = false; + let userId: string | undefined = undefined; if (jsonData && typeof jsonData === "object" && !Array.isArray(jsonData)) { const body = jsonData as any; message = body.message || ""; useDirectLLM = body.use_direct_llm || false; + userId = body.userId || undefined; if (Array.isArray(body.conversationHistory)) { conversationHistory = body.conversationHistory.map((msg: any) => { return { @@ -34,6 +36,7 @@ export function parseAgentRequest( conversationHistory, tutorialData, useDirectLLM, + userId, }; } catch (error) { ctx.logger.error( diff --git a/agent-docs/src/agents/agent-pulse/request/types.ts b/agent-docs/src/agents/agent-pulse/request/types.ts index 3f14e830..08c4fa1d 100644 --- a/agent-docs/src/agents/agent-pulse/request/types.ts +++ b/agent-docs/src/agents/agent-pulse/request/types.ts @@ -13,4 +13,5 @@ export interface ParsedAgentRequest { conversationHistory: ConversationMessage[]; tutorialData?: TutorialState; useDirectLLM?: boolean; + userId?: string; } \ No newline at end of file diff --git a/agent-docs/src/agents/agent-pulse/tools.ts b/agent-docs/src/agents/agent-pulse/tools.ts index 89f2e501..ee63b12b 100644 --- a/agent-docs/src/agents/agent-pulse/tools.ts +++ b/agent-docs/src/agents/agent-pulse/tools.ts @@ -3,7 +3,7 @@ import { z } from "zod"; import { ActionType } from "./state"; import type { AgentState } from "./state"; import type { AgentContext } from "@agentuity/sdk"; -import { getTutorialMeta } from "./tutorial"; +import { getTutorialMeta, getUserTutorialProgress } from "./tutorial"; /** * Context passed to tools for state management and logging @@ -11,20 +11,21 @@ import { getTutorialMeta } from "./tutorial"; interface ToolContext { state: AgentState; agentContext: AgentContext; + userId?: string; } /** * Factory function that creates tools with state management context */ export async function createTools(context: ToolContext) { - const { state, agentContext } = context; + const { state, agentContext, userId } = context; const DOC_QA_AGENT_NAME = "doc-qa"; const docQaAgent = await agentContext.getAgent({ name: DOC_QA_AGENT_NAME }); /** * Tool for starting a tutorial - adds action to state queue */ const startTutorialAtStep = tool({ - description: "Start a specific tutorial for the user. You must call this function in order for the user to see the tutorial step content. The tutorial content will be injected to the final response automatically -- you do not have to narrate the tutorial content. The step number should be between 1 and the total number of steps in the tutorial.", + description: "Start a specific tutorial for the user. You must call this function in order for the user to see the tutorial step content. The tutorial content will be injected to the final response automatically -- you do not have to narrate the tutorial content. The step number should be between 1 and the total number of steps in the tutorial. On successful execution, return the title of which the tutorial is starting, the total steps in the tutorial, and the description of the tutorial. Otherwise, return error message based on the error reason.", parameters: z.object({ tutorialId: z.string().describe("The exact ID of the tutorial to start"), stepNumber: z.number().describe("The step number of the tutorial to start (1 to total available steps in the tutorial)") @@ -38,8 +39,15 @@ export async function createTools(context: ToolContext) { const data = tutorialResponse.data const totalSteps = tutorialResponse.data.totalSteps; + + // Guard: reject invalid step numbers (steps are 1-indexed) + if (stepNumber < 1) { + return `Step number must be 1 or greater. You requested step ${stepNumber}.`; + } + + // Guard: reject steps beyond tutorial length if (stepNumber > totalSteps) { - return `This tutorial only has ${totalSteps} steps. You either reached the end of the tutorial or selected an incorrect step number.`; + return `This tutorial only has ${totalSteps} step${totalSteps === 1 ? '' : 's'}. You requested step ${stepNumber}.`; } state.setAction({ type: ActionType.START_TUTORIAL_STEP, @@ -49,7 +57,7 @@ export async function createTools(context: ToolContext) { }); agentContext.logger.info("Added start_tutorial action to state for: %s at step %d", tutorialId, stepNumber); return `Starting "${data.title}". Total steps: ${data.totalSteps} \n\n Description: ${data.description}`; - }, + } }); /** @@ -57,7 +65,16 @@ export async function createTools(context: ToolContext) { * This tool doesn't use state - it returns data directly */ const askDocsAgentTool = tool({ - description: "Query the Agentuity Development Documentation agent using RAG (Retrieval Augmented Generation) to get relevant documentation and answers about the Agentuity platform, APIs, and development concepts", + description: `Query the Agentuity Development Documentation agent using RAG (Retrieval Augmented Generation). + +USE THIS TOOL when users ask about: +- Agentuity SDK objects (AgentContext, AgentRequest, AgentResponse) +- SDK methods (ctx.logger, ctx.vector, ctx.kv, resp.json, resp.stream, etc.) +- Platform features (deployment, authentication, agent configuration, etc.) +- CLI commands (agentuity agent create, deploy, etc.) +- Agentuity APIs and development workflows (e.g. agent.run, agent.create, etc.) + +This tool provides authoritative, up-to-date documentation specific to the Agentuity platform.`, parameters: z.object({ query: z.string().describe("The question or query to send to the query function"), }), @@ -77,10 +94,63 @@ export async function createTools(context: ToolContext) { }, }); + /** + * Tool to fetch user's tutorial progress + * This helps the agent understand which tutorials the user has completed or started + */ + const getUserTutorialProgressTool = tool({ + description: "Fetch the user's tutorial progress to see which tutorials they have started, completed, or not yet begun. Use this when you need to recommend tutorials based on what the user has already done, or when answering questions about topics covered in specific tutorials.", + parameters: z.object({}), + execute: async () => { + if (!userId) { + agentContext.logger.warn("Cannot fetch tutorial progress: userId not available"); + return "Unable to fetch tutorial progress - user identification not available."; + } + + agentContext.logger.info("Fetching tutorial progress for user: %s", userId); + const progressResponse = await getUserTutorialProgress(userId, agentContext); + + if (!progressResponse.success || !progressResponse.data) { + agentContext.logger.error("Failed to fetch tutorial progress: %s", progressResponse.error); + return `Unable to fetch tutorial progress at this time.`; + } + + const progress = progressResponse.data; + const tutorials = progress.tutorials || {}; + const tutorialList = Object.values(tutorials); + + if (tutorialList.length === 0) { + return "User has not started any tutorials yet."; + } + + const completed = tutorialList.filter(t => t.completedAt); + const inProgress = tutorialList.filter(t => !t.completedAt); + + let summary = `User Tutorial Progress:\n`; + + if (completed.length > 0) { + summary += `\nCompleted Tutorials (${completed.length}):\n`; + completed.forEach(t => { + summary += ` - ${t.tutorialId}: Completed on ${new Date(t.completedAt!).toLocaleDateString()}\n`; + }); + } + + if (inProgress.length > 0) { + summary += `\nIn Progress (${inProgress.length}):\n`; + inProgress.forEach(t => { + summary += ` - ${t.tutorialId}: Step ${t.currentStep}/${t.totalSteps}, Last accessed: ${new Date(t.lastAccessedAt).toLocaleDateString()}\n`; + }); + } + + return summary; + }, + }); + // Return tools object return { startTutorialById: startTutorialAtStep, queryOtherAgent: askDocsAgentTool, + getUserTutorialProgress: getUserTutorialProgressTool, }; } diff --git a/agent-docs/src/agents/agent-pulse/tutorial.ts b/agent-docs/src/agents/agent-pulse/tutorial.ts index 7f41472f..5a5719d7 100644 --- a/agent-docs/src/agents/agent-pulse/tutorial.ts +++ b/agent-docs/src/agents/agent-pulse/tutorial.ts @@ -156,6 +156,91 @@ export async function getTutorialStep(tutorialId: string, stepNumber: number, ct return responseData; } catch (error) { ctx.logger.error('Error fetching tutorial step %d for tutorial %s: %s', stepNumber, tutorialId, error); + return { + success: false, + error: `Network error: ${error instanceof Error ? error.message : String(error)}` + }; + } +} + +export interface UserTutorialProgress { + userId: string; + tutorials: { + [tutorialId: string]: { + tutorialId: string; + currentStep: number; + totalSteps: number; + startedAt: string; + completedAt?: string; + lastAccessedAt: string; + }; + }; +} + +/** + * Fetches the user's tutorial progress from the API + */ +export async function getUserTutorialProgress( + userId: string, + ctx: AgentContext +): Promise> { + try { + if (!userId) { + return { + success: false, + error: 'User ID is required to fetch tutorial progress' + }; + } + + const response = await fetch( + `${TUTORIAL_API_BASE_URL}/api/users/tutorial-state`, + { + headers: { + 'Cookie': `chat_user_id=${userId}` + } + } + ); + + if (!response.ok) { + const errorData = await response.json().catch(() => ({ + error: response.statusText + })) as { error?: string; details?: any }; + + ctx.logger.error( + 'Failed to fetch user tutorial progress: %s', + JSON.stringify(errorData) + ); + + return { + success: false, + status: response.status, + error: errorData.error || response.statusText, + details: errorData.details + }; + } + + const responseData = await response.json() as ApiResponse; + + if (!responseData.success) { + return { + success: false, + error: responseData.error || 'Failed to fetch tutorial progress' + }; + } + + ctx.logger.info( + 'Fetched tutorial progress for user %s: %d tutorials', + userId, + Object.keys(responseData.data?.tutorials || {}).length + ); + + return responseData; + } catch (error) { + ctx.logger.error( + 'Error fetching user tutorial progress: %s', + error instanceof Error ? error.message : String(error) + ); + return { success: false, error: `Network error: ${error instanceof Error ? error.message : String(error)}` diff --git a/agent-docs/src/agents/doc-processing/chunk-mdx.ts b/agent-docs/src/agents/doc-processing/chunk-mdx.ts index 9554d874..5bf1ee79 100644 --- a/agent-docs/src/agents/doc-processing/chunk-mdx.ts +++ b/agent-docs/src/agents/doc-processing/chunk-mdx.ts @@ -61,36 +61,36 @@ export function createContentAwareSplitter(contentType: string) { chunkOverlap: 0, separators: ['\n---\n'], }); - }if (contentType === 'code_block') { + } if (contentType === 'code_block') { return new RecursiveCharacterTextSplitter({ chunkSize: 800, chunkOverlap: 100, separators: ['\n```\n', '\n\n', '\n'], }); - }if (contentType === 'header_section') { + } if (contentType === 'header_section') { return new RecursiveCharacterTextSplitter({ chunkSize: 1200, chunkOverlap: 150, separators: ['\n## ', '\n### ', '\n#### ', '\n\n', '\n'], }); - }if (contentType === 'table') { + } if (contentType === 'table') { return new RecursiveCharacterTextSplitter({ chunkSize: 1500, chunkOverlap: 0, separators: ['\n\n'], }); - }if (contentType === 'list') { + } if (contentType === 'list') { return new RecursiveCharacterTextSplitter({ chunkSize: 800, chunkOverlap: 100, separators: ['\n\n', '\n- ', '\n* ', '\n+ '], }); } - return new RecursiveCharacterTextSplitter({ - chunkSize: 1000, - chunkOverlap: 200, - separators: ['\n\n', '\n', ' '], - }); + return new RecursiveCharacterTextSplitter({ + chunkSize: 1000, + chunkOverlap: 200, + separators: ['\n\n', '\n', ' '], + }); } export async function hybridChunkDocument(doc: Document) { @@ -114,19 +114,6 @@ export async function hybridChunkDocument(doc: Document) { return finalChunks; } -export async function generateDocsChunks(docsPath: string) { - const loader = new DirectoryLoader(docsPath, { - '.mdx': (filePath: string) => new TextLoader(filePath), - }); - const docs = await loader.load(); - const allChunks: any[] = []; - for (const doc of docs) { - const docChunks = await hybridChunkDocument(doc); - allChunks.push(...docChunks); - } - return allChunks; -} - /** * Chunks and enriches a single MDX doc with metadata. * - Parses and removes frontmatter diff --git a/agent-docs/src/agents/doc-processing/keyword-extraction.ts b/agent-docs/src/agents/doc-processing/keyword-extraction.ts deleted file mode 100644 index d0ab7e22..00000000 --- a/agent-docs/src/agents/doc-processing/keyword-extraction.ts +++ /dev/null @@ -1,78 +0,0 @@ -import { openai } from '@ai-sdk/openai'; -import { generateText } from 'ai'; - -export interface KeywordExtractionResult { - keywords: string[]; - source: string; - chunkPreview?: string; -} - -export interface KeywordExtractionOptions { - model?: string; // e.g., 'gpt-4o', 'gpt-3.5-turbo' - maxKeywords?: number; - logger?: { - info: (msg: string, ...args: any[]) => void; - error: (msg: string, ...args: any[]) => void; - }; -} - -/** - * Extracts keywords from a documentation chunk using an LLM (Vercel AI SDK). - * Prompts the LLM to return a JSON array of keywords, with fallback for comma-separated output. - * @param chunkContent The text content of the documentation chunk. - * @param options Optional settings for model, maxKeywords, and logger. - * @returns Promise Structured result with keywords and metadata. - * @throws Error if the LLM fails to generate a valid JSON response. - */ -export async function extractKeywordsWithLLM( - chunkContent: string, - options: KeywordExtractionOptions = {} -): Promise { - const { - model = 'gpt-4o', - maxKeywords = 10, - logger = { info: () => {}, error: () => {} }, - } = options; - - const prompt = `You are an expert technical documentation assistant. - -Given the following documentation chunk, extract 5 to 10 important keywords or key phrases that would help a developer search for or understand this content. Focus on technical terms, API names, function names, CLI commands, configuration options, and unique concepts. Avoid generic words. - -Return the keywords as a JSON array in the following format: -{ - "keywords": ["keyword1", "keyword2", ...] -} - -Documentation chunk: -""" -${chunkContent} -""" -`; - - logger.info( - 'Extracting keywords for chunk (length: %d)...', - chunkContent.length - ); - const result = await generateText({ - model: openai(model), - prompt, - maxTokens: 150, - temperature: 0.2, - }); - const raw = result.text || ''; - let keywords: string[] = []; - const parsed = JSON.parse(raw); - if (Array.isArray(parsed.keywords)) { - keywords = parsed.keywords - .map((k: string) => k.trim()) - .filter((k: string) => Boolean(k)) - .filter((k: string, i: number, arr: string[]) => arr.indexOf(k) === i) - .slice(0, maxKeywords); - } - logger.info('Extracted keywords: %o', keywords); - return { - keywords, - source: 'llm', - chunkPreview: chunkContent.slice(0, 100), - }; -} diff --git a/agent-docs/src/agents/doc-qa/prompt.ts b/agent-docs/src/agents/doc-qa/prompt.ts index 24aa5f01..3f549256 100644 --- a/agent-docs/src/agents/doc-qa/prompt.ts +++ b/agent-docs/src/agents/doc-qa/prompt.ts @@ -1,9 +1,7 @@ import type { AgentContext } from '@agentuity/sdk'; import { openai } from '@ai-sdk/openai'; -import { generateObject, generateText } from 'ai'; +import { generateText } from 'ai'; -import type { PromptType } from './types'; -import { PromptClassificationSchema } from './types'; export async function rephraseVaguePrompt( ctx: AgentContext, @@ -70,67 +68,3 @@ Return ONLY the query text, nothing else.`; return input; } } - -/** - * Determines the prompt type based on the input string using LLM classification. - * Uses specific, measurable criteria to decide between Normal and Agentic RAG. - * @param ctx - Agent Context for logging and LLM access - * @param input - The input string to analyze - * @returns {Promise} - The determined PromptType - */ -export async function getPromptType( - ctx: AgentContext, - input: string -): Promise { - const systemPrompt = ` -You are a query classifier that determines whether a user question requires simple retrieval (Normal) or complex reasoning (Thinking). - -Use these SPECIFIC criteria for classification: - -**THINKING (Agentic RAG) indicators:** -- Multi-step reasoning required (e.g., "compare and contrast", "analyze pros/cons") -- Synthesis across multiple concepts (e.g., "how does X relate to Y") -- Scenario analysis (e.g., "what would happen if...", "when should I use...") -- Troubleshooting/debugging questions requiring logical deduction -- Questions with explicit reasoning requests ("explain why", "walk me through") -- Comparative analysis ("which is better for...", "what are the trade-offs") - -**NORMAL (Simple RAG) indicators:** -- Direct factual lookups (e.g., "what is...", "how do I install...") -- Simple how-to questions with clear answers -- API reference queries -- Configuration/syntax questions -- Single-concept definitions - -Respond with a JSON object containing: -- type: "Normal" or "Thinking" -- confidence: 0.0-1.0 (how certain you are) -- reasoning: brief explanation of your classification - -Be conservative - when in doubt, default to "Normal" for better performance.`; - - try { - const result = await generateObject({ - model: openai('gpt-4o-mini'), // Use faster model for classification - system: systemPrompt, - prompt: `Classify this user query: "${input}"`, - schema: PromptClassificationSchema, - maxTokens: 200, - }); - - ctx.logger.info( - 'Prompt classified as %s (confidence: %f): %s', - result.object.type, - result.object.confidence, - result.object.reasoning - ); - - return result.object.type as PromptType; - } catch (error) { - ctx.logger.error( - 'Error classifying prompt, defaulting to Normal: %o', - error - ); - return 'Normal' as PromptType; - } -} diff --git a/agent-docs/src/agents/doc-qa/types.ts b/agent-docs/src/agents/doc-qa/types.ts index 8e37facf..6cab6e6a 100644 --- a/agent-docs/src/agents/doc-qa/types.ts +++ b/agent-docs/src/agents/doc-qa/types.ts @@ -13,16 +13,6 @@ export const AnswerSchema = z.object({ documents: z.array(z.string()), }); -export const PromptTypeSchema = z.enum(['Normal', 'Thinking']); - -export const PromptClassificationSchema = z.object({ - type: PromptTypeSchema, - confidence: z.number().min(0).max(1), - reasoning: z.string(), -}); - // Generated TypeScript types export type RelevantDoc = z.infer; export type Answer = z.infer; -export type PromptType = z.infer; -export type PromptClassification = z.infer; diff --git a/app/api/page-content/route.ts b/app/api/page-content/route.ts index c91c3939..4187afa7 100644 --- a/app/api/page-content/route.ts +++ b/app/api/page-content/route.ts @@ -1,5 +1,6 @@ import type { NextRequest } from 'next/server'; import docsJson from '@/content/docs.json'; +import { validatePathString } from '@/lib/utils/secure-path'; interface Doc { file: string; @@ -18,8 +19,15 @@ export async function GET(request: NextRequest) { return new Response('Path parameter required', { status: 400 }); } - if (path.includes('..') || path.includes('\\') || path.startsWith('/')) { - return new Response('Invalid path parameter', { status: 400 }); + // Validate path for security issues (but don't require leading slash for this API) + const validation = validatePathString(path); + if (!validation.valid) { + return new Response(`Invalid path parameter: ${validation.error}`, { status: 400 }); + } + + // Additional check: path shouldn't start with '/' for this specific API + if (path.startsWith('/')) { + return new Response('Invalid path parameter: path should not start with "/"', { status: 400 }); } const doc = docs.find( diff --git a/app/api/sessions/[sessionId]/messages/route.ts b/app/api/sessions/[sessionId]/messages/route.ts index 523b43d1..169cd6df 100644 --- a/app/api/sessions/[sessionId]/messages/route.ts +++ b/app/api/sessions/[sessionId]/messages/route.ts @@ -230,6 +230,7 @@ export async function POST( -DEFAULT_CONVERSATION_HISTORY_LIMIT ), tutorialData: currentTutorialState, + userId: userId, }; // Prepare headers with optional bearer token diff --git a/app/api/tutorials/[id]/route.ts b/app/api/tutorials/[id]/route.ts index 434fa476..b8770071 100644 --- a/app/api/tutorials/[id]/route.ts +++ b/app/api/tutorials/[id]/route.ts @@ -1,7 +1,7 @@ import { NextRequest, NextResponse } from 'next/server'; -import { join } from 'path'; import { parseTutorialMDXCached } from '@/lib/tutorial/mdx-parser'; import { TutorialIdParamsSchema } from '@/lib/tutorial/schemas'; +import { getTutorialFilePath } from '@/lib/tutorial'; interface RouteParams { params: Promise<{ id: string }>; @@ -21,15 +21,27 @@ export async function GET(request: NextRequest, { params }: RouteParams) { } const { id } = validationResult.data; - const filePath = join(process.cwd(), 'content', 'Tutorial', `${id}.mdx`); + const filePath = await getTutorialFilePath(id); + if (!filePath) { + return NextResponse.json( + { success: false, error: 'Tutorial not found' }, + { status: 404 } + ); + } const parsed = await parseTutorialMDXCached(filePath); + // Calculate totalSteps if missing from frontmatter + const totalSteps = parsed.metadata.totalSteps ?? parsed.steps.length; + return NextResponse.json({ success: true, data: { id, - metadata: parsed.metadata, + metadata: { + ...parsed.metadata, + totalSteps + }, fullContent: parsed.fullContent, steps: parsed.steps.map(step => ({ stepNumber: step.stepNumber, diff --git a/app/api/tutorials/[id]/steps/[stepNumber]/route.ts b/app/api/tutorials/[id]/steps/[stepNumber]/route.ts index d881bf75..ab285bc2 100644 --- a/app/api/tutorials/[id]/steps/[stepNumber]/route.ts +++ b/app/api/tutorials/[id]/steps/[stepNumber]/route.ts @@ -1,7 +1,8 @@ import { NextRequest, NextResponse } from 'next/server'; -import { join } from 'path'; import { parseTutorialMDXCached } from '@/lib/tutorial/mdx-parser'; import { StepParamsSchema } from '@/lib/tutorial/schemas'; +import { getTutorialFilePath } from '@/lib/tutorial'; +import { convertMdxToMarkdown } from '@/lib/tutorial/mdx-to-markdown'; interface RouteParams { params: Promise<{ id: string; stepNumber: string }>; @@ -10,8 +11,7 @@ interface RouteParams { export async function GET(request: NextRequest, { params }: RouteParams) { try { const rawParams = await params; - - // Validate and transform parameters with Zod + const validationResult = StepParamsSchema.safeParse(rawParams); if (!validationResult.success) { return NextResponse.json( @@ -19,12 +19,18 @@ export async function GET(request: NextRequest, { params }: RouteParams) { { status: 400 } ); } - + const { id, stepNumber: stepNum } = validationResult.data; - - const filePath = join(process.cwd(), 'content', 'Tutorial', `${id}.mdx`); + + const filePath = await getTutorialFilePath(id); + if (!filePath) { + return NextResponse.json( + { success: false, error: 'Tutorial not found' }, + { status: 404 } + ); + } const parsed = await parseTutorialMDXCached(filePath); - + const step = parsed.steps.find(s => s.stepNumber === stepNum); if (!step) { return NextResponse.json( @@ -32,18 +38,21 @@ export async function GET(request: NextRequest, { params }: RouteParams) { { status: 404 } ); } - + + // Calculate totalSteps if missing from frontmatter + const totalSteps = parsed.metadata.totalSteps ?? parsed.steps.length; + return NextResponse.json({ success: true, data: { tutorialId: id, - totalSteps: parsed.metadata.totalSteps, + totalSteps, currentStep: stepNum, tutorialStep: { title: step.title, - mdx: step.mdxContent, + mdx: convertMdxToMarkdown(step.mdxContent), snippets: step.snippets, - totalSteps: parsed.metadata.totalSteps, + totalSteps, estimatedTime: step.estimatedTime, } } diff --git a/app/api/tutorials/route.ts b/app/api/tutorials/route.ts index 934f0891..aac96d44 100644 --- a/app/api/tutorials/route.ts +++ b/app/api/tutorials/route.ts @@ -1,57 +1,49 @@ import { NextResponse } from 'next/server'; -import { readdir } from 'fs/promises'; -import { join } from 'path'; import { parseTutorialMDXCached } from '@/lib/tutorial/mdx-parser'; import { TutorialListItemSchema, type TutorialListItem } from '@/lib/tutorial/schemas'; +import { getTutorialsConfig, getTutorialFilePath } from '@/lib/tutorial'; export async function GET() { try { - const tutorialsDir = join(process.cwd(), 'content', 'Tutorial'); - - // Check if Tutorial directory exists, if not create it for future use - let entries: string[]; - try { - entries = await readdir(tutorialsDir); - } catch (error) { - // Return empty array if Tutorial directory doesn't exist yet - return NextResponse.json([]); - } - - const mdxFiles = entries.filter(file => file.endsWith('.mdx')); - + const config = await getTutorialsConfig(); + const tutorials = await Promise.all( - mdxFiles.map(async (file): Promise => { + config.tutorials.map(async (tutorialMeta): Promise => { try { - const filePath = join(tutorialsDir, file); + const filePath = await getTutorialFilePath(tutorialMeta.id); + if (!filePath) { + console.warn(`Tutorial file not found for ${tutorialMeta.id}`); + return null; + } const parsed = await parseTutorialMDXCached(filePath); - + const tutorialItem = { - id: file.replace('.mdx', ''), - title: parsed.metadata.title, - description: parsed.metadata.description, - totalSteps: parsed.metadata.totalSteps, - difficulty: parsed.metadata.difficulty, - estimatedTime: parsed.metadata.estimatedTime, + id: tutorialMeta.id, + title: tutorialMeta.title, + description: tutorialMeta.description, + totalSteps: parsed.metadata.totalSteps || parsed.steps.length, + difficulty: tutorialMeta.difficulty, + estimatedTime: tutorialMeta.estimatedTime, }; // Validate the tutorial list item const validationResult = TutorialListItemSchema.safeParse(tutorialItem); if (!validationResult.success) { - console.warn(`Invalid tutorial item ${file}:`, validationResult.error.message); + console.warn(`Invalid tutorial item ${tutorialMeta.id}:`, validationResult.error.message); return null; } return validationResult.data; } catch (error) { - console.warn(`Failed to parse tutorial ${file}:`, error); + console.warn(`Failed to parse tutorial ${tutorialMeta.id} at ${tutorialMeta.path}:`, error); return null; } }) ); - + // Filter out failed tutorials const validTutorials = tutorials.filter(tutorial => tutorial !== null); - + return NextResponse.json(validTutorials); } catch (error) { console.error('Failed to load tutorials:', error); diff --git a/app/chat/[sessionId]/page.tsx b/app/chat/[sessionId]/page.tsx index ef569ef4..0546c4e1 100644 --- a/app/chat/[sessionId]/page.tsx +++ b/app/chat/[sessionId]/page.tsx @@ -1,6 +1,6 @@ 'use client'; -import { useEffect, useState } from 'react'; +import { useEffect, useState, useRef } from 'react'; import { useParams } from "next/navigation"; import { Allotment } from "allotment"; import "allotment/dist/style.css"; @@ -20,6 +20,11 @@ export default function ChatSessionPage() { const { sessions, setSessions, revalidateSessions } = useSessions(); const [creationError, setCreationError] = useState(null); + // Refs for throttling text streaming updates + const textAccumulatorRef = useRef(''); + const streamingMessageIdRef = useRef(null); + const updateTimerRef = useRef(null); + const handleSendMessage = async (content: string, sessionId: string) => { if (!content || !sessionId) return; @@ -52,19 +57,36 @@ export default function ChatSessionPage() { newMessage, { onTextDelta: (textDelta) => { - setSession(prev => { - if (!prev) return prev; - const updatedMessages = prev.messages.map(msg => { - if (msg.id === assistantMessage.id) { - return { - ...msg, - content: msg.content + textDelta - }; - } - return msg; + // Accumulate the text in the ref + textAccumulatorRef.current += textDelta; + streamingMessageIdRef.current = assistantMessage.id; + + // Clear any existing timer + if (updateTimerRef.current) { + clearTimeout(updateTimerRef.current); + } + + // Throttle updates to every 50ms + updateTimerRef.current = setTimeout(() => { + const accumulatedText = textAccumulatorRef.current; + + setSession(prev => { + if (!prev) return prev; + const updatedMessages = prev.messages.map(msg => { + if (msg.id === assistantMessage.id) { + return { + ...msg, + content: msg.content + accumulatedText + }; + } + return msg; + }); + return { ...prev, messages: updatedMessages }; }); - return { ...prev, messages: updatedMessages }; - }); + + // Reset accumulator after updating + textAccumulatorRef.current = ''; + }, 50); }, onTutorialData: (tutorialData) => { @@ -80,12 +102,51 @@ export default function ChatSessionPage() { }, onFinish: (finalSession) => { + // Clear any pending updates and flush remaining text + if (updateTimerRef.current) { + clearTimeout(updateTimerRef.current); + updateTimerRef.current = null; + } + + // Flush any remaining accumulated text before setting final session + if (textAccumulatorRef.current) { + setSession(prev => { + if (!prev) return prev; + const updatedMessages = prev.messages.map(msg => { + if (msg.id === streamingMessageIdRef.current) { + return { + ...msg, + content: msg.content + textAccumulatorRef.current + }; + } + return msg; + }); + return { ...prev, messages: updatedMessages }; + }); + } + + // Reset refs + textAccumulatorRef.current = ''; + streamingMessageIdRef.current = null; + + // Set the final session setSession(finalSession); setSessions(prev => prev.map(s => s.sessionId === sessionId ? finalSession : s)); }, onError: (error) => { console.error('Error sending message:', error); + + // Clear any pending updates + if (updateTimerRef.current) { + clearTimeout(updateTimerRef.current); + updateTimerRef.current = null; + } + + // Reset refs + textAccumulatorRef.current = ''; + streamingMessageIdRef.current = null; + setSession(prev => { if (!prev) return prev; const updatedMessages = prev.messages.map(msg => @@ -101,6 +162,17 @@ export default function ChatSessionPage() { } catch (error) { console.error('Error sending message:', error); + + // Clear any pending updates + if (updateTimerRef.current) { + clearTimeout(updateTimerRef.current); + updateTimerRef.current = null; + } + + // Reset refs + textAccumulatorRef.current = ''; + streamingMessageIdRef.current = null; + setSession(prevSession => { if (!prevSession) return prevSession; const filteredMessages = prevSession.messages.filter(msg => @@ -161,8 +233,16 @@ export default function ChatSessionPage() { setCreationError(error.message || 'Error creating session'); revalidateSessions?.(); }); - }, [sessionId]); + }, [sessionId, sessions]); + // Cleanup effect to clear any pending timers on unmount + useEffect(() => { + return () => { + if (updateTimerRef.current) { + clearTimeout(updateTimerRef.current); + } + }; + }, []); const toggleEditor = () => { setEditorOpen(false) }; const stopServer = () => { }; diff --git a/app/chat/components/ChatInput.tsx b/app/chat/components/ChatInput.tsx index 0422b2ac..c5387034 100644 --- a/app/chat/components/ChatInput.tsx +++ b/app/chat/components/ChatInput.tsx @@ -52,7 +52,7 @@ export function ChatInput({ onKeyDown={handleKeyDown} placeholder="Ask about Agentuity or request tutorials..." className="w-full px-3 py-2 text-sm text-gray-200 placeholder-gray-400 - bg-transparent border-0 focus:outline-none agentuity-scrollbar + bg-transparent border-0 focus:outline-none scrollbar-thin min-h-[40px] max-h-[16rem] pr-10 overflow-y-auto resize-none" rows={2} /> diff --git a/app/chat/components/ChatMessage.tsx b/app/chat/components/ChatMessage.tsx index 4c340d2d..aa4d0bc3 100644 --- a/app/chat/components/ChatMessage.tsx +++ b/app/chat/components/ChatMessage.tsx @@ -84,13 +84,13 @@ export const ChatMessageComponent = React.memo(function ChatMessageComponent({ const tutorialSnippets = message.tutorialData?.tutorialStep.snippets as TutorialSnippet[] | undefined; const currentStep = message.tutorialData?.currentStep; const totalSteps = message.tutorialData?.totalSteps; - + // Memoize tutorial content transformation to avoid Rules of Hooks violation - const memoizedTutorialContent = useMemo(() => - tutorialMdx ? transformMdxWithSnippets(tutorialMdx, tutorialSnippets || []) : null, + const memoizedTutorialContent = useMemo(() => + tutorialMdx ? transformMdxWithSnippets(tutorialMdx, tutorialSnippets || []) : null, [tutorialMdx, tutorialSnippets] ); - + const handleOpenInEditor = (code: string) => { setEditorContent(code); setEditorOpen(true); @@ -115,9 +115,9 @@ export const ChatMessageComponent = React.memo(function ChatMessageComponent({ {message.content === '' ? (
-
-
-
+
+
+
Agent is processing...
diff --git a/app/chat/components/ChatMessagesArea.tsx b/app/chat/components/ChatMessagesArea.tsx index e8ebd11c..adb8a722 100644 --- a/app/chat/components/ChatMessagesArea.tsx +++ b/app/chat/components/ChatMessagesArea.tsx @@ -1,6 +1,6 @@ 'use client'; -import React, { useRef, useEffect,useState } from 'react'; +import React, { useRef, useEffect, useState } from 'react'; import { ChatMessageComponent } from './ChatMessage'; import { ChatInput } from './ChatInput'; import { Session } from '../types'; @@ -51,7 +51,7 @@ export function ChatMessagesArea({
{session.messages.map((message) => ( diff --git a/app/chat/components/CodeBlock.tsx b/app/chat/components/CodeBlock.tsx index 8900cb92..4a236ccb 100644 --- a/app/chat/components/CodeBlock.tsx +++ b/app/chat/components/CodeBlock.tsx @@ -1,7 +1,6 @@ 'use client'; -import { useState, useEffect, useRef } from 'react'; -import { Copy, Check } from 'lucide-react'; +import { DynamicCodeBlock } from 'fumadocs-ui/components/dynamic-codeblock'; interface SimpleCodeBlockProps { content: string; @@ -12,51 +11,17 @@ export default function CodeBlock({ content, language }: SimpleCodeBlockProps) { - const [code, setCode] = useState(content); - const [copied, setCopied] = useState(false); - const textareaRef = useRef(null); - - useEffect(() => { - setCode(content); - // Auto-size the textarea to its content within max height - if (textareaRef.current) { - const el = textareaRef.current; - el.style.height = 'auto'; - const maxPx = 500; - const newHeight = Math.min(el.scrollHeight, maxPx); - el.style.height = `${newHeight}px`; - } - }, [content]); - - const copyToClipboard = () => { - navigator.clipboard.writeText(code); - setCopied(true); - setTimeout(() => setCopied(false), 2000); - }; - return (
- {/* Header */} + {/* Custom header with language label */}
{language} -
- -
-