capability-runtime 0.1.1

Bridge/glue layer that composes Agently (LLM/TriggerFlow) with skills-runtime-sdk (skills/tools/WAL/events).

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capability-runtime

capability-runtime is a production-oriented runtime/adapter layer that exposes a stable Runtime API while composing two upstream systems:

• skills-runtime-sdk for skills, tools, approvals, WAL, and event evidence
• Agently for OpenAI-compatible transport and TriggerFlow-based orchestration internals

The public contract of this repository is intentionally narrow:

• capability primitives: AgentSpec and WorkflowSpec
• execution entrypoint: Runtime
• evidence surface: NodeReport, host snapshots, and service-facade helpers

What You Get

• A single execution surface: Runtime.run() and Runtime.run_stream()
• Public capability registration and manifest descriptors
• Workflow orchestration on top of the runtime without exposing TriggerFlow as a public API
• Evidence-first results through NodeReport, tool-call reports, approval summaries, and WAL locators
• Host-facing helpers for wait/resume, approval tickets, continuity, and service streaming

Architecture At A Glance

                           +-----------------------------+
                           | Host Application            |
                           | - register capabilities     |
                           | - run / stream / continue   |
                           +--------------+--------------+
                                          |
                                          v
+------------------------------------------------------------------------+
| capability-runtime                                                     |
|                                                                        |
|  Public contract                                                       |
|  - AgentSpec / WorkflowSpec                                            |
|  - Runtime                                                             |
|  - NodeReport / HostRunSnapshot / RuntimeServiceFacade                 |
|                                                                        |
|  Internal adapters                                                     |
|  - AgentAdapter                                                        |
|  - TriggerFlowWorkflowEngine                                           |
|  - service/session continuity bridge                                   |
+------------------------------+-----------------------------------------+
                               |
                               v
                 +-------------------------------+
                 | skills-runtime-sdk            |
                 | - skills + tools              |
                 | - approvals + exec sessions   |
                 | - WAL / AgentEvent evidence   |
                 +---------------+---------------+
                                 |
                                 v
                 +-------------------------------+
                 | Agently / TriggerFlow         |
                 | - OpenAI-compatible transport |
                 | - workflow execution internals|
                 +-------------------------------+

Install

From source:

python -m pip install -e .

With development dependencies:

python -m pip install -e ".[dev]"

When the package is published, the install form is:

python -m pip install capability-runtime

Import name:

import capability_runtime

Quickstart

1. Offline runtime loop

python examples/01_quickstart/run_mock.py

This path is the smallest reproducible loop:

• register an AgentSpec
• validate the registry
• run in mode="mock"
• inspect the terminal CapabilityResult

2. Bridge mode with a real model backend

cp examples/01_quickstart/.env.example examples/01_quickstart/.env
python examples/01_quickstart/run_bridge.py

Bridge mode reuses Agently's OpenAI-compatible transport but still delegates the actual skills/tools/WAL semantics to skills-runtime-sdk.

3. Workflow orchestration

python examples/02_workflow/run.py

For a higher-level index, start with examples/README.md.

Public API At A Glance

The package root exposes the supported contract:

from capability_runtime import (
    Runtime,
    RuntimeConfig,
    CustomTool,
    AgentSpec,
    AgentIOSchema,
    WorkflowSpec,
    Step,
    LoopStep,
    ParallelStep,
    ConditionalStep,
    InputMapping,
    CapabilitySpec,
    CapabilityKind,
    CapabilityResult,
    CapabilityStatus,
    NodeReport,
    HostRunSnapshot,
    ApprovalTicket,
    ResumeIntent,
    RuntimeServiceFacade,
    RuntimeServiceRequest,
    RuntimeServiceHandle,
    RuntimeSession,
)

The runtime currently supports three execution modes through RuntimeConfig.mode:

• mock: deterministic local testing without a real LLM backend
• bridge: Agently transport + skills-runtime-sdk execution semantics
• sdk_native: native skills-runtime-sdk backend without Agently transport

Repository Layout

.
├── src/capability_runtime/      # package source
├── examples/                    # human-facing runnable examples
├── docs_for_coding_agent/       # compact pack for coding agents
├── help/                        # public help and operational guides
├── config/                      # example config shapes
├── scripts/                     # release / validation helpers
└── tests/                       # offline regression guardrails

Documentation Map

• help/README.md: public help index
• examples/README.md: runnable examples by scenario
• docs_for_coding_agent/README.md: compact coding-agent pack
• config/README.md: config shape reference

Recommended reading order for new users:

1. help/00-overview.md
2. help/01-quickstart.md
3. help/03-python-api.md
4. examples/README.md

Release And PyPI Publishing

This repository ships GitHub Actions workflows for:

• Tier-0 CI on push and pull request
• tag-driven and manual PyPI publishing

Release guardrails:

• the Git tag must match pyproject.toml's [project].version
• the Git tag must match capability_runtime.__version__
• the publish job builds both sdist and wheel before uploading

The publish workflow is designed for PyPI Trusted Publishing. You still need to configure the corresponding Trusted Publisher entry on pypi.org.

Relationship To The Upstreams

• skills-runtime-sdk remains the source of truth for skills, approvals, tools, WAL, and event evidence.
• Agently remains the transport/orchestration substrate where this repository chooses to bridge instead of forking or reimplementing.
• capability-runtime is the contract-convergence layer: it narrows those upstream capabilities into a smaller host-facing runtime surface.