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Google ADK Agent Setup

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Linked challenge: Biotech Orchestration System

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Linked challenge

Biotech Orchestration System

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Initialize a Google ADK agent using Gemini 3.1 Pro. Configure the agent to accept multimodal inputs (image + text) for molecular analysis. Provide the schema for a 'run_simulation' tool.

Adaptation plan

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Keep stable

Hold the task contract and output shape stable so generated implementations remain comparable.

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Update libraries, interfaces, and environment assumptions to match the stack you actually run.

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

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This prompt is mostly narrative and instruction-driven, so adapt examples and output constraints before you rewrite the structure.

Linked challenge

Biotech Orchestration System

Reflecting the multi-billion dollar deal between Insilico Medicine and Eli Lilly, this challenge involves building a high-performance biotech agent orchestrator. You will use the Google ADK to develop a system that coordinates drug discovery tasks across various specialized environments. The core reasoning engine will be Gemini 3.1 Pro, which will use its large context window and multimodal capabilities to analyze molecular structures and research papers. You will integrate Featherless AI for high-throughput model serving of specialized chemistry models and Edge Impulse to handle data from lab sensors. This system will simulate the orchestration of a co-development pipeline, where agents must determine the feasibility of drug candidates based on simulated efficacy data. The challenge emphasizes the use of modern model runtimes and specialized inference for high-stakes scientific applications.

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