Changelog

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New features

• SERV Tools. Enable server-side features by declaring specially named tools in any request — no SERV-specific API required. SERV detects tools prefixed with serv_, activates the feature, and strips the tool before the model runs. Works identically across the OpenAI SDK, Anthropic SDK, Vercel AI SDK, and raw HTTP. Read the reference →
• serv_prompt_guard. Opt-in protection against prompt-injection attacks that try to leak or override your system prompt. Declare the tool by name to enable it — no parameters needed. See usage →
• serv_shadow_agent. Runs a validate-and-iterate loop over the model’s output to raise accuracy on hard tasks. Configure hint and max_iterations through schema defaults. See usage →

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New features

• Build, Launch, Run. The full OpenServ platform is now organized around three product surfaces: Build for shipping agents and apps, Launch for token launches without presales or VCs, and Run for the AI Cofounder Suite that handles post-launch operations.
• OpenClaw. A new OS-level gateway for AI agents across WhatsApp, Telegram, Discord, iMessage, and more — send a message, get an agent response. Includes a quickstart, ERC-8004 identity, x402 marketplace agents, and Telegram and Twitter integrations. Start with OpenClaw →
• OpenServ Skills + ClawHub. Official OpenServ skills (openserv-agent-sdk, openserv-client, openserv-multi-agent-workflows, openserv-ideaboard-api, openserv-launch) are now installable into any coding agent or IDE, with ClawHub as the public registry. Browse skills →
• No-code path. A guided no-code experience for building with Workflows, Agents, and Connect — no SDK required. Open the no-code quickstart →

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Updates

• SDK Integration reference. New page covering the three SERV endpoints (/v1/chat/completions, /v1/responses, /v1/messages) with side-by-side OpenAI and Anthropic SDK examples and a full parameter map. Open the reference →
• SDK Migration guide. Step-by-step migration paths for Python (openai, anthropic), the Vercel AI SDK, LangChain, LlamaIndex, Mastra, AutoGen, CrewAI, Instructor, LiteLLM, and raw fetch. Read the guide →
• Day One with SERV. Production-ready defaults — when to start with serv-nano or serv-mini, when to upgrade, and which tasks to delegate to the model vs. your application. Open Day One →

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Updates

• Expanded model catalog. Added GPT-5.5, GPT-5.4, GPT-5.4 Mini, GPT-5.4 Nano, Claude Opus 4.6, Claude Sonnet 4.6, Claude Haiku 4.5, Gemini Flash Latest, Gemini Pro Latest, Gemma 4, Grok 4.3 and 4.20, Qwen 3.6, and DeepSeek v4 — all available through the same SERV endpoint with pricing and context windows on a single page. Browse models →
• Same-model performance comparison. New benchmark visual on the SERV Reasoning overview shows accuracy vs. inference cost for each model with and without SERV Reasoning on a DeFi trade-decision benchmark.
• Quickstart, refined. First-request examples now cover the OpenAI SDK, Anthropic SDK, and raw HTTP against /v1/chat/completions, /v1/responses, and /v1/messages, with the SERV-specific behaviors called out up front. Open the quickstart →
• reasoning_effort values clarified. Accepted values are none, low, medium, and high. If you were passing minimal, switch to low.

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New features

• Playground. Try SERV Reasoning side by side with any base model — same prompt, two outputs, real token, cost, and latency numbers. No SDK setup required. Open the Playground →
• OpenAI- and Anthropic-compatible inference API. Point your existing OpenAI or Anthropic SDK at the SERV endpoint and keep your prompts, tool definitions, and application logic unchanged. See the Chat Completions, Responses, and Messages references, plus the compatibility notes.
• BRAID research framework. Published the research behind SERV Reasoning — bounded, machine-readable reasoning graphs that replace free-form chain-of-thought. Read the summary →
• Public roadmap. The SERV Reasoning roadmap is now public, from the current Private Beta through Public API, fine-tuned models, and longer-horizon research. See the roadmap →

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Updates

• Model catalog and pricing. Refreshed pricing for Claude Opus and Qwen models, plus a single page covering every available model, API ID, context window, and per-million-token rate. Browse models →
• Quickstart. Streamlined the SERV Reasoning quickstart with first-request examples for the OpenAI SDK, Anthropic SDK, and raw HTTP.