Real-time Voice-Enabled Enterprise Intelligence Agent
Develop a real-time, voice-enabled enterprise intelligence agent using Google's Agent Development Kit (ADK) with Gemini 2.5 Pro. Inspired by the growing need for intelligent agents to interface with enterprise data platforms like Snowflake, this challenge focuses on creating an assistant that can answer complex business queries, summarize dashboards, and provide insights through a natural voice interface. The agent will leverage Gemini's multimodal capabilities to process voice commands and generate conversational responses, while using custom tools to query and interact with a simulated or actual Snowflake data warehouse. The goal is to deliver immediate, accurate information to users via voice, streamlining access to critical business intelligence and mimicking the functionality of an advanced AI assistant within messaging or communication platforms.
What you are building
The core problem, expected build, and operating context for this challenge.
Develop a real-time, voice-enabled enterprise intelligence agent using Google's Agent Development Kit (ADK) with Gemini 2.5 Pro. Inspired by the growing need for intelligent agents to interface with enterprise data platforms like Snowflake, this challenge focuses on creating an assistant that can answer complex business queries, summarize dashboards, and provide insights through a natural voice interface. The agent will leverage Gemini's multimodal capabilities to process voice commands and generate conversational responses, while using custom tools to query and interact with a simulated or actual Snowflake data warehouse. The goal is to deliver immediate, accurate information to users via voice, streamlining access to critical business intelligence and mimicking the functionality of an advanced AI assistant within messaging or communication platforms.
Shared data for this challenge
Review public datasets and any private uploads tied to your build.
How submissions are scored
These dimensions define what the evaluator checks, how much each dimension matters, and which criteria separate a passable run from a strong one.
SchemaValidation
Output JSON adheres to the specified schema.
This dimension contributes its full weight only when the submission satisfies the requirement. Partial credit is not awarded.
RetrievalSuccess
The agent successfully retrieved data.
This dimension contributes its full weight only when the submission satisfies the requirement. Partial credit is not awarded.
AnswerAccuracy
Cosine similarity of generated text response to ground truth answer. • target: 0.9 • range: 0-1
This dimension contributes its full weight only when the submission satisfies the requirement. Partial credit is not awarded.
Latency
End-to-end response time for voice query in milliseconds. • target: 2000 • range: 0-5000
This dimension contributes its full weight only when the submission satisfies the requirement. Partial credit is not awarded.
What you should walk away with
Master Google ADK for defining agent capabilities, tool usage, and conversational logic with Gemini 2.5 Pro as the core model.
Integrate Retell AI to enable real-time, low-latency voice interaction, processing user speech input and synthesizing agent responses for a natural conversational experience.
Develop custom tool definitions within Google ADK that can interface with a simulated Snowflake data warehouse (e.g., via a Python API wrapper) to retrieve business metrics and reports.
Design advanced conversational turns within the agent to handle follow-up questions, disambiguate queries, and present complex data insights in an easy-to-understand format.
Leverage Gemini 2.5 Pro's multimodal capabilities for potentially interpreting visual data (if the prompt includes simulated dashboards) or enriching voice responses with relevant context.
Deploy the Google ADK agent and its associated tools on Google Cloud's Vertex AI Workbench, utilizing its infrastructure for scalable and managed agent execution.
Implement logging and monitoring strategies within Vertex AI to observe agent performance, tool usage, and user satisfaction metrics.
[ok] Wrote CHALLENGE.md
[ok] Wrote .versalist.json
[ok] Wrote eval/examples.json
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