SteerllySteerlly

Build Reliable AI Agents. Define. Test. Deploy. Monitor.

The hardest part isn't building agents. It's knowing when they're ready. Define, test, and deploy AI workflows with confidence.

Define
Agents & Tools
Evaluate
Quality Gates
Deploy
Versioned API
Monitor
Real-time Trace
Configuration as Code

One file. Full control.

Define your entire agent system in a single YAML file. Version it, review it, deploy it.

Agents

Define roles, instructions, and capabilities. Single agent or multi-agent teams.

Tools

Connect APIs via OpenAPI specs or MCP servers.

Orchestration

Coordinator, sequential, or hierarchical patterns.

support-agent.yaml
name: E-commerce Support
version: 1
orchestration: coordinator
tools:
- id: orders_api
type: openapi
openapi_url: "https://api.shop.com/spec.json"
agents:
- name: coordinator
role: coordinator
instructions: Route to the right specialist
sub_agents:
- name: refund_specialist
instructions: |
Process refund requests.
Always verify order status first.
tools:
- ref: orders_api
approval: # Human-in-the-loop
- process_refund
Human approval required for sensitive operations like refunds
Advanced Orchestration

Complex flows made simple.
From sequential to hierarchical.

Build sophisticated multi-agent systems without the spaghetti code. Coordinator, sequential, and hierarchical patterns out of the box.

  • Coordinator

    Route to the right specialist based on user intent.

  • Sequential

    Chain agents in a pipeline. Output → Input.

  • Hierarchical

    Teams of teams. Managers delegate to specialists.

"Draft a contract for a new client"
Coordinator
Legal Expert
Researcher
Copywriter
Evaluation & Testing

Don't guess what works.
Prove it with data.

Test your entire agent stack: prompts, models, tool configurations, and sub-agent hierarchies. Run experiments at scale and only deploy what passes your quality gates.

  • Bulk Runners

    Test 50+ inputs in parallel seconds.

  • Quantitative Scoring

    Coming Soon

    Exact match, Semantic similarity, LLM-as-Judge.

Experiment #842

Running
2 configs • 50 cases
Input CaseBaselineVariant
"Refund order #123"
Pass (0.98)
Pass (0.99)
"Cancel my sub"
Fail (0.45)
Missed policy check
Pass (0.92)
Win Rate82%96%
Human-in-the-Loop

AI shouldn't always fly solo.
Inject human judgment when it matters.

Don't let agents hallucinate on sensitive tasks. Configure granular approval gates for specific tools (e.g. `refund_user`, `publish_tweet`) or logical steps. Review context, edit drafted responses, and approve execution in one click.

  • Auto-Pause

    Workflows suspend automatically at critical checkpoints.

  • Tool-level Approval

    Configure which tools require human confirmation.

AI
Drafting email to customer...
Approval Required: Send Email1m ago
Subject: Your refund is approved
Body: Hi Alice, we've processed your refund of $50...
Full Observability
Coming Soon

Open the black box.
See exactly what happened.

Debug complex agent interactions with ease. Trace every step, tool call, and state change in real-time. Replay sessions to understand failure modes and optimize token usage.

Session Replay

Step-by-step time travel.

Deep Tracing

Inspect inputs, outputs & latency.

Cost Tracking

Monitor spend per user/agent.

Live Stream

Watch execution as it happens.

user_input0ms
"Find flights to Tokyo next week"
agent: planner450ms
Thinking... Calls tool search_flights
tool: search_flights1200ms
{ "destination": "HND", "dates": "flexible" }
Response Generated

Universal Connectivity

Don't rebuild your tools. Connect them. We support the standards you already use.

OpenAPI / Swagger

Import your existing API specs. We automatically generate type-safe tools for your agents. No glue code required.

your-api.com/openapi.json -> crm_tools

MCP Protocol

Native support for the Model Context Protocol. Connect local resources and internal tools securely.

mcp-server-erp -> user_directory

Python FunctionsComing Soon

Need custom logic? Write Python functions and expose them as tools. We handle the execution sandbox.

def pricing_engine(q) -> quote_tool
Native SDKs

Embed Anywhere

Drop agents into your existing codebase. Install the SDK, import your workflow, run it. Three lines of code.

TS
TypeScript
🐍
Python

Transparent Pricing

One plan to get started. Custom solutions for scale.
Bring your own LLM keys — you only pay for what you use.

Early Access — We're building Steerlly with our first users. Join as a design partner and shape the product.

Starter

Hosted
From€99/month

For teams shipping their first AI agent to production.

  • 1 feature
  • 50,000 messages/month
  • 2,000 test runs/month
  • Unlimited datasets & versions
  • 3 team members
  • 7 days data retention
  • Email support

Enterprise

Flexible
Custom

Everything in Starter, plus:

  • Multi-features & tiered usage
  • Unlimited test runs
  • Hosted, dedicated, or self-hosted
  • 180 days data retention
  • SSO & advanced RBAC
  • Custom integrations
  • Priority support

All plans include: BYOK (Bring Your Own Keys) • OpenAPI & MCP integrations • YAML-first workflows • Unlimited versions