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Develop Custom Tools and OpenRouter Integration

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Linked challenge: Autonomous Market Strategy Team

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Linked challenge

Autonomous Market Strategy Team

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Create custom tools for your CrewAI agents, such as `search_market_data(query: str)` and `generate_financial_projection(data: dict)`. Configure OpenRouter to dynamically select DeepSeek R1 for analytical tasks and potentially other models for creative or summarization tasks, optimizing for cost and performance. Integrate these tools into your agent's capabilities.

Adaptation plan

Keep the source stable, then change the prompt in a predictable order so the next run is easier to evaluate.

Keep stable

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

Tune next

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

Verify after

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

Autonomous Market Strategy Team

This challenge involves constructing an autonomous, multi-agent market strategy team using the CrewAI framework. The team will be tasked with analyzing the competitive landscape for emerging generative AI technologies, such as new video generation models or large language models like DeepSeek. The goal is to provide strategic recommendations for businesses looking to innovate or compete in this rapidly evolving sector. The core intelligence of the agent team will be driven by DeepSeek R1, selected for its advanced reasoning capabilities and cost-efficiency, dynamically routed via OpenRouter for optimal performance across various analytical tasks. Crucially, the agents will leverage MemGPT for long-term memory, allowing them to recall past analyses, adapt to evolving market trends, and maintain conversational context over extended interactions. This enables more sophisticated and consistent strategic planning. To support the development and interaction with this complex system, GitHub Copilot will serve as an AI engineering assistant for creating custom tools and refining agent logic, while Bito AI will provide a chat interface for users to query the team, review reports, and provide feedback, fostering a human-in-the-loop oversight.

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