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ALP Agent Studio

Low-code platform for building ALP agents with visual DAG design, a capability marketplace, model routing, and A/B testing.

Pricing

PlanPriceIncludes
Pro$99 / moVisual designer, sandbox, 10 agents
EnterpriseCustomUnlimited agents, SSO, private marketplace, SLA

Feature Deep-Dive

Visual DAG Designer

Drag-and-drop interface for composing @task, @workflow, and @swarm blocks. Real-time validation highlights cycles, missing contracts, and policy violations.

Capability Marketplace

Publish and discover reusable agent skills. Each skill is versioned, tested, and metered. Invoke skills across projects without copy-pasting code.

Model Routing Configuration

Route agent steps to GPT-4o, Claude Sonnet, Llama 3, or local GGUF models based on cost, latency, or capability requirements. Fallback chains handle provider outages.

Testing Sandbox

Spin up isolated execution environments for agents. Inject faults, replay event logs, and measure reproducibility before production deployment.

A/B Testing

Compare two agent personas or model routes on the same workload. Statistical significance testing is built into the analytics pipeline.

Use Cases

  • Product teams prototype agent flows without hand-coding DAGs.
  • Platform teams curate an internal capability marketplace.
  • ML teams compare model providers on real ALP workloads.

Integration

Integrates with @agent, @swarm_marketplace, @policy, and @contract. Agent Studio exports standard .alp files compatible with the CLI, MCP server, and SHAM IDE.

Quickstart

  1. Open studio.alp.cloud and sign in.
  2. Create a new agent project or import an existing .alp file.
  3. Drag tasks onto the canvas and connect them with data edges.
  4. Run a sandbox test: Studio.run(agentId, { input: testCase })
  5. Publish to the marketplace or export to your CI pipeline.