Head of Developer Experience @RespanAI (Formerly Keywords AI, YC W24)

Joined February 2023
72 Photos and videos
10 engineers × 4 CLI agents = 40 accounts, 40 invoices, 40 price tags. We made it 1. Claude Code, Codex, Gemini CLI, OpenCode, and more can now run through Respan Gateway with unified billing and discounted usage.
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sth fable 5 actually can do with samples. not sure how people making those videos.
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hi :3
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Frank Chen retweeted
MiniMax is live on @RespanAI Gateway Developers now have another easy way to access our models. as more teams ship AI products across text, speech, image, video, and music, we want our models right there when you need them. link in comments 👇 #MiniMax #Respan #AIGateway #MultimodalAI #AIModels #Developers #BuildWithAI
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Frank Chen retweeted
Tera is live on the Respan Gateway. Users can now call Tera models while keeping unified observability (logs, cost, latency, reliability) in Respan. Congrats to the @RespanAI team for the launch!
Introducing Respan AI Gateway. The world’s first AI gateway with built-in observability, evals, and prompt optimization. Access 1,000 models through one endpoint, with the production layer teams need beyond routing.
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Frank Chen retweeted

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Frank Chen retweeted
Novita AI is now available on Respan Gateway. Teams can now discover and build with our AI and agent cloud through @RespanAI. We give developers access to model APIs, GPU infrastructure, and agent runtimes for building production AI applications.
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Frank Chen retweeted
Baseten is live on the Respan Gateway. Congratulations to the @RespanAI team on their Gateway launch as they bring observability, evals, and routing to agents. Try Baseten Model APIs now on Respan.
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Frank Chen retweeted
AI bill is out of control, and the fix lives in the gateway layer! wrote about why the gateway is becoming the control plane for spend, observability evals:
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Frank Chen retweeted
Introducing Respan AI Gateway. The world’s first AI gateway with built-in observability, evals, and prompt optimization. Access 1,000 models through one endpoint, with the production layer teams need beyond routing.
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Frank Chen retweeted
May 22
AI observability platforms raised $1B to reinvent print debugging for the agent era. Reading traces manually is not a scalable production workflow. We think the stack should catch issues itself. Meet Respan.
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Doing a smog check today and realized California really said: “Your car seems fine, but prove it.” Honestly, AI apps need the same energy. Your agent might look fine in demo, but in production you still need to prove: latency isn’t creeping up cost isn’t randomly spiking tool calls aren’t silently failing answers aren’t getting worse after a prompt change The vibe is not “trust me bro, it works", and that’s what we’re building at respan.ai
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Working on SEO with claude code now it's so considerate😂
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Interesting. This is also what we support at @RespanAI. Most gateways like OpenRouter use router-style APIs that normalize requests into an OpenAI format. That can change behavior or drop provider-specific features. Respan is different. We provide a true pass-through gateway, so requests, headers, and streaming are forwarded as-is. Agent CLIs behave exactly the same as calling the provider directly. In addition, we also log all calls for observability and debugging. (PS. we also support Codex, Gemini CLI , and OpenCode)
Anthropic has quietly shipped third-party inference for Cowork and Code in Claude Desktop. This should work with local models or OpenRouter via LiteLLM proxy. Is it just me?
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Frank Chen retweeted
Apr 24
Respan Launch Week, Day 5 🚀 Introducing AI Gateway Limits and Alerts. LLM costs can get out of control fast in production, especially as traffic grows across models, API keys, and apps. Now you can set limits directly in Respan AI Gateway: - Alerts via email or Slack - Recurring budgets for LLM usage - Limits by API key or model - Controls for cost, requests, or tokens When a limit is exceeded, you can block the request or send a warning. Built for teams that want to move fast with clear cost controls. Try it today!
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Frank Chen retweeted
Apr 23
Respan Launch Week, Day 4: Introducing Respan Integrations Most teams still spend days setting up observability. That’s why we invested heavily in Respan Integrations. We support major LLM and agent frameworks like OpenAI, Anthropic, Gemini, LangChain, Vercel AI, and Pydantic AI, with more being added. Run 'npx [at]respan/cli setup' and start tracing in minutes, not days.
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The cake is 🐐
Replying to @RespanAI
@RespanAI team pulling all nighters for their launch week to keep up with demands. Absolutely cracked team everyone lives and works under the same roof. Bullish on these guys
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Frank Chen retweeted
Apr 22
Respan Launch Week, Day 3: introducing @RespanAI Agent, CLI, and MCP. Three ways to stop doing AI engineering by hand: → Agent: ask it to build an evaluator, fix a prompt, or find the root cause of a bad trace on the platform. → CLI: npx respan@cli setup - auth, framework detection, and tracing in one command. → MCP: plug Respan into Claude Code, Cursor, or anything that speaks MCP. Same data, same access, wherever you work.
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