> ## Documentation Index
> Fetch the complete documentation index at: https://docs.openserv.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Resources

> Better reasoning on LLMs.

* **Research Paper on arXiv**: 🔗 [**BRAID: Bounded Reasoning for Autonomous Inference and Decisions**](https://arxiv.org/abs/2512.15959)
* See the **raw benchmark results**: 🔗 [**BRAID Benchmark Results**](https://benchmark.openserv.ai/) The paper is currently under peer-review by the **Artificial Intelligence Review** publication for state-of-the-art research in artificial intelligence and cognitive science ([https://link.springer.com/journal/10462](https://link.springer.com/journal/10462)).
* **Messari report (Sep 2025):**\
  [https://messari.io/report/openserv-braid-ai-architecture-launch](https://messari.io/report/openserv-braid-ai-architecture-launch)
* **Benzinga:**\
  [https://www.benzinga.com/crypto/cryptocurrency/25/08/47387496/openservs-braid-framework-surpasses-gpt-models-targets-enterprise-use-with-auditable-ai-reasoning](https://www.benzinga.com/crypto/cryptocurrency/25/08/47387496/openservs-braid-framework-surpasses-gpt-models-targets-enterprise-use-with-auditable-ai-reasoning)

<Frame>
  <img src="https://mintcdn.com/openserv/gFHu6nurAJVw-mZ4/images/serv-model-differences.png?fit=max&auto=format&n=gFHu6nurAJVw-mZ4&q=85&s=479cd00453683c97d31a5dc8fd8033f5" alt="Same model, better decisions — SERV reasoning compared against base models on a DeFi trade-decision benchmark, plotting accuracy against inference cost." lightAlt="Same model, better decisions — SERV reasoning compared against base models on a DeFi trade-decision benchmark, plotting accuracy against inference cost." darkAlt="Same model, better decisions — SERV reasoning compared against base models on a DeFi trade-decision benchmark, plotting accuracy against inference cost." width="4096" height="2335" data-path="images/serv-model-differences.png" />
</Frame>

<Note>
  **Private beta.** Access is currently limited to selected partners and teams. [Join the waitlist →](https://openserv.typeform.com/to/dG8koJgd)
</Note>

## Next steps

<CardGroup cols={2}>
  <Card title="Quickstart" icon="rocket" href="/serv-reasoning/introduction">
    Two-field SDK setup and the behaviors to know before you build.
  </Card>

  <Card title="Models" icon="brain" href="/serv-reasoning/models">
    The full model catalog with pricing and context windows.
  </Card>

  <Card title="SDK Integration" icon="code" href="/serv-reasoning/sdk-integration">
    Endpoint details and the parameter map for the OpenAI and Anthropic Node SDKs.
  </Card>

  <Card title="SDK Migration" icon="arrow-right-arrow-left" href="/serv-reasoning/sdk-migration">
    Migration patterns for Python, Vercel AI SDK, LangChain, and raw fetch.
  </Card>
</CardGroup>

For benchmark results and the research paper, see [Research](./research). Try any model side-by-side in the [Playground →](https://console.openserv.ai/playground).