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Verdog runtime

Execute Verdog workflows in Python. The runtime runs workflow steps and configured agents, records execution history, and supports resuming or forking runs from compatible checkpoints.

Requires Python 3.12 or later.

Installation

Generated workflow projects declare verdog-runtime as a dependency. To install it directly in a Python environment:

uv pip install verdog-runtime

For creating, checking, and running projects from the terminal, install the Verdog CLI:

uv tool install verdog-cli
verdog --help

Workflow environments need the runtime and their declared dependencies. They do not require the CLI or a backend installation to execute workflows.

Documentation

Runtime 0.1.9 adds the opt-in CodexInvoker(danger_full_access=True) for hosts where Codex's sandbox cannot start, records each invocation's effective sandbox in metadata.json, and counts Codex error items as failed tool calls.

Runtime 0.1.6 stores checkpoint artifact inventories as add-only deltas and shares their ancestry in memory. Existing full-inventory checkpoints remain readable; existing run files are not rewritten.

Runtime 0.1.5 extends each stats.md timing table with agent call counts, input and cached input tokens, output tokens, and estimated USD usage cost. Child usage rolls into its parent call row; parent and previous/next call links keep the existing report hierarchy navigable. Subscription cost estimates describe usage, not additional charges or remaining quota. Token and cost cells use — for Python, Feature, enter, exit, and failure rows where usage does not apply. Agent, Subroutine call, Workflow call, and Total rows use 0 for no usage, unknown for missing measurements, and a known subtotal followed by + ? for partial measurements. Agent call counts are always numeric.

Development

See developer documentation for setup, checks, run-monitoring APIs, and release instructions.

License

AGPL-3.0-only; see LICENSE.

Metadata

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