mesa-runtime/lib
A thin, programmatic wrapper around CI in this repo comprising a simple backend and a library that communicates with it.
Usage
from mesa_runtime import MesaRuntime
client = MesaRuntime("https://example.cloudfront.net", "username", "password")
run_id = client.dispatch("batch-2026-01", "foo", "onco")
print(client.get_run(run_id))
Batch inference uploads the batch file with the caller's AWS credentials:
run_id = client.run_batch_inference("foo/bar", "baz", "qux.jsonl", "quux")
print(client.get_inference_run(run_id))
API
| Method | Description |
|---|---|
list_training_data() |
List available training data objects from S3 |
dispatch(training_batch_name, model_name, schema, ...) |
Trigger a workflow run, returns its ID |
get_run(run_id) |
Fetch a single run by ID |
list_runs() |
List the ten most recent runs |
list_queued_runs() |
List all pending runs |
cancel(run_id) |
Cancel a run |
get_logs(run_id, ...) |
Fetch step logs for a run |
get_step_inputs(run_id) |
Extract dispatch inputs from step env vars |
get_runner_status() |
Get runner online/busy status |
run_batch_inference(job_id, model_id, batch_file, bucket, ...) |
Upload a Bedrock batch file and trigger an inference run, returns its ID |
get_inference_run(run_id) |
Fetch a single inference run by ID |
list_inference_runs() |
List the ten most recent inference runs |
cancel_inference(run_id) |
Cancel an inference run |
get_inference_logs(run_id, ...) |
Fetch step logs for an inference run |
Metadata
Release files for londonaicentre-mesa-runtime 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
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| londonaicentre_mesa_runtime-0.1.0.tar.gz | 5.5 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| londonaicentre_mesa_runtime-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 12.1 kB
Release files / londonaicentre_mesa_runtime-0.1.0.tar.gz
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