Version 1.0.0 released
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For the complete documentation index, see llms.txt. This page is also available as Markdown.

Choosing Your Models

Seylo allows you to configure different LLM models for each agent to balance performance and cost. Here are recommended configurations:

Better Performance

  • Planner & Validator: Claude 3.7 Sonnet

    • Better reasoning and planning capabilities

    • More reliable task validation

  • Navigator: Claude 3.5 Haiku

    • Efficient for web navigation tasks

    • Good balance of performance and cost

Cost-Effective Configuration

  • Planner & Validator: Claude Haiku or GPT-4o

    • Reasonable performance at lower cost

    • May require more iterations for complex tasks

  • Navigator: Gemini 2.0 Flash or GPT-4o-mini

    • Lightweight and cost-efficient

    • Suitable for basic navigation tasks

Local Models

  • Setup Options:

    • Use Ollama or other custom OpenAI-compatible providers to run models locally

    • Zero API costs and complete privacy with no data leaving your machine

  • Recommended Models:

    • Qwen 2.5 Coder 14B

    • Mistral Small 24B

  • Prompt Engineering:

    • Local models require more specific and cleaner prompts

    • Avoid high-level, ambiguous commands

    • Break complex tasks into clear, detailed steps

    • Provide explicit context and constraints

Note: The cost-effective configuration may produce less stable outputs and require more iterations for complex tasks.

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