urirun-llm-runtime

AI Cost Tracking

• 🤖 LLM usage: $0.3615 (32 commits)
• 👤 Human dev: ~$1426 (14.3h @ $100/h, 30min dedup)

Generated on 2026-07-19 using openrouter/qwen/qwen3-coder-next

Canonical LLM-facing project for the if-uri URI process execution runtime.

Repo: https://github.com/if-uri/urirun-llm-runtime

LLM clients should load this repository (or its raw docs) as project context so generated code uses POST /run with URI processes — never raw subprocess / GUI hacks.

What this repo contains

LLM consumption (raw URLs)

https://raw.githubusercontent.com/if-uri/urirun-llm-runtime/main/docs/llm/first_system_prompt.md
https://raw.githubusercontent.com/if-uri/urirun-llm-runtime/main/docs/llm/runtime_semantics.md
https://raw.githubusercontent.com/if-uri/urirun-llm-runtime/main/docs/llm/route_catalog.yaml
https://raw.githubusercontent.com/if-uri/urirun-llm-runtime/main/docs/openapi.yaml

Or in Python:

from urirun_llm_runtime import build_first_system_prompt, docs_index
print(build_first_system_prompt())
print(docs_index())

LLM output format

```urirun:processes
[
  {
    "id": "step-1",
    "name": "Diagnose KVM",
    "actor": "script",
    "uri": "kvm://host/doctor/query/report",
    "payload": {},
    "depends_on": []
  }
]
```

Glue code (allowed)

from urirun_llm_runtime import Executor

def run(ctx=None):
    return Executor("http://host-node:8765").execute("kvm://host/env/query/profile")

CLI

Installing the package provides a urirun-llm command (also python -m urirun_llm_runtime):

urirun-llm health                               # GET {node}/health
urirun-llm routes                               # GET {node}/routes
urirun-llm execute kvm://host/env/query/profile # POST {node}/run for one URI
urirun-llm run plan.json                         # execute a urirun:processes plan (file or -)
urirun-llm validate plan.json                    # parse + validate a plan, no execution
urirun-llm lint examples/glue                    # anti-subprocess CI gate over glue
urirun-llm prompt --ticket "check domains"       # print the first LLM system prompt

The node URL comes from --node or $URIRUN_NODE_URL (default http://localhost:8765). execute/run default to --mode execute; pass --mode dry-run to preview.

Local development

pip install -e ".[dev]"
python scripts/assemble_llm_prompt.py
pytest -q
python scripts/validate_examples.py
python scripts/validate_processes.py

Mock runtime (no if-uri)

docker compose up -d --build urirun-mock
curl -sf http://127.0.0.1:8765/health

Real runtime (if-uri monorepo)

git clone https://github.com/if-uri/if-uri ../if-uri   # sibling of this repo
echo "IF_URI_ROOT=../if-uri" > runtime/.env
docker compose -f runtime/docker-compose.yml up -d host-node
docker compose -f runtime/docker-compose.yml --profile smoke run --rm uri-smoke

CI gates (blocking)

1. unit-and-gates — pytest, glue lint, process JSON schema, prompt artifact
2. mock-runtime-smoke — POST /run on mock node
3. if-uri-runtime-smoke — builds real if-uri host-node, runs URI smoke + live Executor

All three must pass on main.

Related

• if-uri — monorepo with connectors and dashboard
• markpact + marksync prompt — orchestration primitives

License

Licensed under Apache-2.0.