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Implement Core Agents and Model Context Protocol Tooling

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Linked challenge: Build a Hybrid Reasoning Web Research Agent

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Linked challenge

Build a Hybrid Reasoning Web Research Agent

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Implement the primary orchestrator agent and at least two specialized sub-agents (e.g., 'Searcher' and 'Analyzer') using Langroid. Focus on robust Model Context Protocol (Model Context Protocol) integration for essential web browsing tools (e.g., a simulated search engine API or web scraper). Ensure agents can securely pass task context and tool results.

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Test failure handling, edge cases, and any code paths that depend on hidden context or secrets.

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Linked challenge

Build a Hybrid Reasoning Web Research Agent

This challenge involves developing an autonomous agent system capable of comprehensive web research. The system will feature a primary orchestrator agent that intelligently delegates tasks to specialized sub-agents. These agents will leverage advanced Model Context Protocol -enabled web browsing tools and implement a sophisticated Retrieval Augmented Generation (RAG) pipeline to efficiently synthesize information from diverse web sources. A core aspect of this challenge is implementing a hybrid reasoning mechanism: agents will dynamically shift between 'instant' (quick, high-level summarization) and 'deep' (detailed analysis, cross-referencing, critical evaluation) modes using adaptive thinking budgets based on the complexity and novelty of the research task. This approach ensures optimal resource allocation and deeper insights when required, mimicking human-like cognitive processes in an agentic framework.

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