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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.