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Hoshi 1.0 is our proprietary frontier model, purpose-built for agentic workloads. It delivers frontier-tier performance on coding, structured output, and tool-use benchmarks at a fraction of the credits of leading alternatives.

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Why Hoshi 1.0?

Hoshi 1.0 is designed from the ground up for the kinds of tasks EKB agents perform every day: reasoning over documents, calling tools, generating structured output, and following multi-step instructions. It is not a general-purpose chatbot — it is an agent engine.

Credits

Frontier-level quality at a fraction of the credits of GPT 5.5 or Sonnet 5.

OpenAI-Compatible

Drop-in Chat Completions API — change three lines and keep your stack.

No Lock-In

Standard request/response shape. Switch back or route around us anytime.

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Pricing

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When to Use Hoshi vs. Frontier Models

Choosing the right model depends on the task. Use the guide below to decide when Hoshi 1.0 is the best fit and when you might reach for a frontier model like Sonnet 5 or GPT 5.5.

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Use Hoshi 1.0 When…

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Use a Frontier Model When…

For most EKB agent workloads — tool calling, structured output, RAG, and multi-step automation — Hoshi 1.0 is the recommended default. Use frontier models only when you have a specific reason to do so.

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Quick Comparison

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Getting Started

Hoshi 1.0 is available in EKB as a predefined model. No API key configuration is required.

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Select Hoshi in Your Agent

1

Navigate to Agents

Go to Agents in the sidebar.
2

Open or create an agent

Select an existing agent or create a new one.
3

Go to the General tab

Open the General tab in the agent configuration.
4

Select Hoshi 1.0

Find the Model drop-down selector and choose Hoshi 1.0 from the list.

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FAQ

For agentic tasks — tool calling, structured output, coding, and multi-step reasoning — Hoshi 1.0 performs at the same frontier tier. Frontier models may have an edge on highly creative writing, multimodal reasoning, and extremely long contexts.
When you send the same context repeatedly (e.g., the same system prompt or knowledge base retrieval), cached tokens are billed at 10 credits / 1M — roughly 15× cheaper than fresh input tokens.
No. Hoshi 1.0 is our flagship model and will be actively maintained and improved. Future versions will be announced with clear migration timelines.

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