Command Line Interface¶
Warning
This document is a work in progress and might not be updated with the latest changes.
Try to use agl -h to get the latest help message.
Tip
Agent-lightning also provides utilities to help you build your own CLI for LitAgent and Trainer. See Trainer for references.
agl¶
usage: agl [-h] {vllm,store,prometheus,agentops}
Agent Lightning CLI entry point.
Available subcommands:
vllm Run the vLLM CLI with Agent Lightning instrumentation.
store Run a LightningStore server.
prometheus Serve Prometheus metrics from the multiprocess registry.
agentops Start the AgentOps server manager.
positional arguments:
{vllm,store,prometheus,agentops}
Subcommand to run.
options:
-h, --help show this help message and exit
agl vllm¶
Agent-lightning's instrumented vLLM CLI.
usage: agl vllm [-h] [-v] {chat,complete,serve,bench,collect-env,run-batch} ...
vLLM CLI
positional arguments:
{chat,complete,serve,bench,collect-env,run-batch}
chat Generate chat completions via the running API server.
complete Generate text completions based on the given prompt via the running API server.
collect-env Start collecting environment information.
run-batch Run batch prompts and write results to file.
options:
-h, --help show this help message and exit
-v, --version show program's version number and exit
For full list: vllm [subcommand] --help=all
For a section: vllm [subcommand] --help=ModelConfig (case-insensitive)
For a flag: vllm [subcommand] --help=max-model-len (_ or - accepted)
Documentation: https://docs.vllm.ai
agl store¶
Agent-lightning's LightningStore CLI. Use it to start an independent LightningStore server.
Currently the store data are stored in memory and will be lost when the server is stopped.
usage: agl store [-h] [--host HOST] [--port PORT] [--cors-origin CORS_ORIGINS] [--log-level {DEBUG,INFO,WARNING,ERROR}] [--tracker {prometheus,console} [{prometheus,console} ...]] [--n-workers N_WORKERS] [--backend {memory,mongo}]
[--mongo-uri MONGO_URI]
Run a LightningStore server
options:
-h, --help show this help message and exit
--host HOST Host to bind the server to
--port PORT Port to run the server on
--cors-origin CORS_ORIGINS
Allowed CORS origin. Repeat for multiple origins. Use '*' to allow all origins.
--log-level {DEBUG,INFO,WARNING,ERROR}
Configure the logging level for the store.
--tracker {prometheus,console} [{prometheus,console} ...]
Enable metrics tracking. Repeat for multiple trackers.
--n-workers N_WORKERS
Number of workers to run in the server. When it's greater than 1, the server will be run using `mp` launch mode. Only applicable for zero-copy stores such as MongoDB backend.
--backend {memory,mongo}
Backend to use for the store.
--mongo-uri MONGO_URI
MongoDB URI to use for the store. Applicable only if --backend is 'mongo'.
Tip
After launching the store via CLI, you can tell the Trainer to use the store by passing the store address to the trainer.
store_client = agl.LightningStoreClient("http://localhost:4747")
trainer = agl.Trainer(store=store_client, ...)
See using external store for more details.
agl prometheus¶
Expose the Prometheus multiprocess registry on a dedicated FastAPI server. This is useful when the main LightningStore service is under heavy load; exporters can scrape this auxiliary endpoint instead.
usage: agl prometheus [-h] [--host HOST] [--port PORT] [--metrics-path METRICS_PATH] [--log-level {DEBUG,INFO,WARNING,ERROR}] [--access-log]
Serve Prometheus metrics outside the LightningStore server.
options:
-h, --help show this help message and exit
--host HOST Host to bind the metrics server to.
--port PORT Port to expose the Prometheus metrics on.
--metrics-path METRICS_PATH
HTTP path used to expose metrics. Must start with '/' and not be the root path.
--log-level {DEBUG,INFO,WARNING,ERROR}
Configure the logging level for the metrics server.
--access-log Enable uvicorn access logs. Disabled by default to reduce noise.