feat(wip): web search agent

[AndlerRL]

Summary by Sourcery

Enable web search capabilities in AI actions by defining web search tools, integrating them into existing streaming and execution functions, and introducing a multi-step web search agent.

New Features:

• Define a reusable web search tool in AI actions and a separate tools module.
• Add factory functions to instantiate various LLM clients and derive model identifiers.
• Extend streaming and generation functions to optionally use web search as a tool.
• Implement a multi-step webSearchAgent that iteratively queries the web and synthesizes results.
• Introduce executeAIWithWebSearch to enable tool-assisted AI execution in ai-executers.actions.
• Add a WebSearchAgent class for optimized query generation, web search, and LLM-based result synthesis.
• Provide webSearchTool and wordwareWebSearchTool in a new tools package for external use.

Enhancements:

• Refactor imports and consolidate message formatting for AI SDK integration.
• Centralize LLM client and model selection logic across actions.

Chores:

• Add @ai-sdk/perplexity dependency in package.json.

[sourcery-ai]

Reviewer's Guide

This PR integrates web search functionality across the AI pipeline by defining reusable webSearch tools, abstracting LLM client/model selection, extending existing streaming and generation functions to optionally invoke web search, and introducing a standalone WebSearchAgent module with full multi-step reasoning support.

Sequence Diagram: Basic Web Search Tool Invocation via AI Function

sequenceDiagram
    actor User
    participant App as "Application Logic (e.g., streamTextWithWebSearch)"
    participant LLM as "Language Model"
    participant Tool as "webSearchTool"
    participant SearchAPI as "Web Search API (/api/web-search or direct)"

    User->>App: Submits query
    App->>LLM: Call LLM (e.g., streamText) with messages and webSearchTool
    LLM-->>Tool: execute({query: "search_term"})
    Tool->>SearchAPI: Perform Search (e.g., POST /api/web-search or call Tavily/Google)
    SearchAPI-->>Tool: Search Results
    Tool-->>LLM: Return search results
    LLM->>App: Stream/Return final response incorporating search results
    App->>User: Display response

Loading

Sequence Diagram: WebSearchAgent Class searchAndSynthesize Method

sequenceDiagram
    participant Caller
    participant WSAInstance as "WebSearchAgent (Class Instance)"
    participant LLMQueryGen as "LLM (for Query Generation - generateObject)"
    participant GoogleSearchAPI as "Google Custom Search API"
    participant LLMSynthesis as "LLM (for Synthesis - generateObject)"

    Caller->>WSAInstance: searchAndSynthesize("user_query")

    WSAInstance->>LLMQueryGen: generateObject({prompt_for_queries, schema: searchQuerySchema})
    LLMQueryGen-->>WSAInstance: {queries: ["q1", "q2"]}

    loop For each generated query
        WSAInstance->>GoogleSearchAPI: GET /customsearch/v1 (params: query, apiKey, cx)
        GoogleSearchAPI-->>WSAInstance: Raw Search Results (JSON)
        WSAInstance->>WSAInstance: Format and collect results (as WebSearchResultItem[])
    end

    WSAInstance->>LLMSynthesis: generateObject({prompt_with_all_results, userQuery, schema: webSearchResultSchema})
    LLMSynthesis-->>WSAInstance: {searchResults: "synthesized_text", sources: [...], ...}

    WSAInstance-->>Caller: {searchResults, sources, rawResults}

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File-Level Changes

Change	Details	Files
Define and integrate webSearch tools	Add webSearchTool definition using ai.tool in main ai actions Add webSearchTool definition with Tavily API in executers Create lib/tools/web-search.ts with two tool variants Export webSearchTool for external consumption	apps/masterbots.ai/app/actions/ai-main-call.actions.ts apps/masterbots.ai/app/actions/ai-executers.actions.ts apps/masterbots.ai/lib/tools/web-search.ts
Implement webSearchAgent and streaming response support	Introduce webSearchAgent with multi-step reasoning loop and tool invocation Add createResponseStreamWithWebSearch to route requests through the agent Stream agent answers as SSE with chunked text encoding	apps/masterbots.ai/app/actions/ai-main-call.actions.ts
Abstract LLM client creation and model selection	Add createLLMClient factory for various AiClientType backends Add getModelId helper to choose default model per client Add getModelInstance in executers for SDK consistency	apps/masterbots.ai/app/actions/ai-main-call.actions.ts apps/masterbots.ai/app/actions/ai-executers.actions.ts
Extend core streaming/generation functions with web search support	Add streamTextWithWebSearch, generateTextWithWebSearch and generateObjectWithWebSearch Add executeAIWithWebSearch helper with tool-enabled generateText Pass tools and toolChoice when webSearch flag is true	apps/masterbots.ai/app/actions/ai-main-call.actions.ts apps/masterbots.ai/app/actions/ai-executers.actions.ts
Introduce standalone WebSearchAgent module	Add lib/agents/web-search-agent.ts implementing WebSearchAgent class Define Zod schemas for queries, results and synthesized output Implement generateSearchQueries, performWebSearch, searchAndSynthesize and search methods	apps/masterbots.ai/lib/agents/web-search-agent.ts
Update dependencies for new AI backends	Add @ai-sdk/perplexity to package.json dependencies	apps/masterbots.ai/package.json

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Project	Deployment	Preview	Comments	Updated (UTC)
masterbots	Error			Aug 26, 2025 1:28am

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[AndlerRL]

Andler Development Support - June 2025