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This release is a pre-release and may not be stable for production use.

  tuvl
/ˈtuːvəl/  ·  തൂവൽ  ·  feather

Typed workflows of agents — code, database/HTTP/MCP tools, rules, models,
bounded tool loops and people — on a durable, journaled runtime,
built spec-first and served as REST, SSE and MCP.

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tuvl 2.0 is a redesign with no 1.x compatibility layer — see the CHANGELOG. Versions follow SemVer.

A tuvl workflow is a graph of agents. Each agent has a typed contract — inputs, outputs, the signals it emits — and an engine that implements it:

Engine Determinism
code a Python function deterministic
tool a database, HTTP or MCP operation deterministic
decide ordered rules, then an optional decision model deterministic → bounded
llm one structured model call bounded
loop a model using tools within hard budgets bounded
human a form for a person external
pending a contract waiting for an implementation —

Signals route to the next agent or a named end. tuvl validate checks contracts, data flow, types and policy statically and prints each workflow's determinism profile and worst-case token cost. Every run is durable and journaled: it survives restarts, waits for people, can be paused, stepped and steered, and can be pinned and replayed as a zero-token test fixture.

kind: Workflow
version: tuvl/v2
metadata: { name: refund_flow, description: Handle a refund request }
spec:
  models: [Order, Refund]
  trigger:
    http: { path: /api/refunds, method: POST }
    input: { order_id: uuid, reason: str }
  agents:
    - id: load_order
      description: Load the order
      engine: tool
      inputs: { order_id: uuid }
      outputs: { order: Order }
      tool: { use: db, model: Order, op: read, where: { id: "{{ order_id }}" } }
      routes: { default: triage, not_found: END.missing, error: END.failed }
    - id: triage
      description: Decide how the refund is handled
      engine: decide
      inputs: { order: Order, reason: str }
      outputs: { lane: "enum[auto, review]" }
      decide:
        rules:
          - { when: "order.total > 500", then: review }
          - { when: "true", then: auto }
      routes: { auto: issue_refund, review: approval, error: END.failed }
    # … issue_refund (code), approval (human)
  outputs:
    default: { status: 200, body: { refund_id: "{{ refund.id }}" } }
    missing: { status: 404, body: { error: unknown order } }
    failed:  { status: 500, rollback: true, body: { error: refund failed } }

Install

uv tool install "tuvl[standard]"     # CLI + Insight (dev UI)
# or, in a project
uv add "tuvl[standard]"

tuvl alone is the production server; [standard] adds Insight, served only in dev mode.

Quick start

tuvl init demo --sample --preset gemini -y     # a ticket-triage project with a spec, tests and a lock
cd demo
tuvl validate --strict                         # contracts, data flow, cost
tuvl test                                      # offline tests
tuvl dev --auto-login                          # Insight at http://localhost:8885/insight

Spec-driven

tuvl spec new refund-automation      # write the intent (Markdown, with checked Data and Flows)
tuvl spec check                      # is the spec complete and consistent? (zero tokens)
tuvl spec verify                     # does the implementation match it, step by step?
tuvl spec status                     # task statuses, derived — never typed in
tuvl codegen                         # schemas, code stubs, tests (no model)

The coding agent builds; tuvl referees. Every step above is deterministic and spends no tokens. Coding agents get the same operations over MCP (tuvl mcp) and a skill set in .agents/skills/.

The CI gate:

tuvl validate --strict && tuvl codegen --check && tuvl lock --check && tuvl test && tuvl spec status --strict

Surfaces

  • REST + SSE: each workflow's route, POST /api/workflows/{name}/runs, runs, journal events, approvals, operator control; OpenAPI generated from the contracts.
  • MCP export: trigger.mcp.enabled lists a workflow as a tool on /mcp.
  • TypeScript: @tuvl/client with npx tuvl-client generate for typed inputs and outputs.
  • Insight: specs and task board, workflow canvas, runs with breakpoints, step mode and approvals, change-engine checks against pinned fixtures, judge calibration.

Production

tuvl lock && tuvl ship --tag registry/app:1.0    # gates, Dockerfile (pinned tuvl), Helm chart
tuvl run --role api        # or: worker — scale HTTP and execution separately

Ed25519-signed JWT auth, default-deny triggers, scoped CRUD, approvals with no self-approval, secure fields kept away from models, optional Postgres row-level multi-tenancy.

Documentation

tuvl.dev · in this repository: agentic manual, runtime, engines, decide, loop and tools, judges, spec-driven, Insight, API, CLI, security, observability.


License & contributing

tuvl is licensed under the MIT License — see LICENSE — and will remain MIT-licensed. It is, and will stay, free to use, modify, and distribute.

Development currently happens in a private repository, so the full source is not yet publicly browsable. This is temporary: the complete codebase will be published openly in a future release. In the meantime the project is open to contribution — bug reports, feature proposals, and patches are all welcome. See CONTRIBUTING to get started, or reach out at developer@tuvl.io.

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