Ship the
agent. Skip
the plumbing.
Promptrails is the control plane for AI agents in production —prompts, orchestration, tracing, guardrails, cost, across 14 LLM providers. One contract. No lock-in.
Build agents, not plumbing.
One SDK, 14 providers, versioned prompts, full tracing — Python, JS, or Go.
Read the docs →Iterate on prompts, no deploy.
Promote, A/B, roll back from the dashboard. Evals + scores in the same loop.
See versioning →Cost & latency, by span.
Per-agent rollups, p99 dashboards, scanner verdicts. Decide what ships, with data.
View metrics →SSO. Audit. BYO cloud.
Roles, audit log, encrypted credentials, DPA on request. SOC 2 in progress.
Talk to us →Six tools.
One contract.
Most teams ship an agent by gluing six SaaS tools together. We replaced the glue with a single SDK and a single trace.
Agents.
Five execution strategies — simple, chain, multi-agent, workflow, composite — composed from versioned prompts and tools.
Prompts.
Jinja2 templates with input/output schemas. Promote, roll back, A/B without a deploy.
Tracing.
OTel-style distributed traces with 14 span kinds. Every LLM call, tool, and guardrail captured.
Guardrails.
14 scanners. PII, toxicity, prompt injection, jailbreak. Block, redact, or log.
Cost.
Per-execution and per-span cost across providers. Workspace and per-agent rollups.
MCP tools.
First-class Model Context Protocol. Connect APIs, data sources, remote MCP servers.
One graph.
Every span.
Every run is a tree of spans — calls, tools, guardrails, retrievals — with cost, latency, and the full prompt + response captured at each node.
Wherever
you write code.
Agents
3 agents
“We deleted four internal services the day we shipped Promptrails. Tracing alone paid for it inside a month — turns out half our prompts were calling GPT-5 when Haiku was fine.”