akka optimize training endpoints
Serve a base model or a candidate to try it by hand
Synopsis
An endpoint makes a model answerable at an OpenAI-compatible address.
An endpoint is the deployment rather than the model. A serving process holds a bounded number of adapters over one resident copy of its base model, so a candidate whose base model is already served attaches to that endpoint: it answers in seconds and claims no further devices. What tells the models at one address apart is the model name a request asks for.
This is the one thing in the training service that holds GPUs while nothing is happening, which is why an endpoint is a deliberate act and why deleting one is worth doing when you are finished with it. Training and evaluation need no endpoint; they load what they need and release it.
Examples
# Serve a selected base model akka-optimize training endpoints create --model Qwen/Qwen3-8B --workload triage # Serve a candidate, which attaches to its base model's endpoint akka-optimize training endpoints create --model triage-candidate # Wait for one that is already coming up akka-optimize training endpoints wait 970076e8 # Send it one input akka-optimize training endpoints send 970076e8 --input "Is this ticket a billing problem?" # Stop answering for one model akka-optimize training endpoints detach 970076e8 triage-candidate
Options inherited from parent commands
--cache-file string location of cache file (default "~/.akka/cache.yaml")
--config string location of config file (default "~/.akka/config.yaml")
--context string configuration context to use
--disable-prompt Disable all interactive prompts when running akka commands. If input is required, defaults will be used, or an error will be raised.
This is equivalent to setting the environment variable AKKA_DISABLE_PROMPTS to true.
--force Skip the confirmation prompt
--jq string Filter the JSON output with a jq expression
--json string Output JSON with only these fields; --json= lists the fields a command offers
--no-color Print without color, as NO_COLOR does
-o, --output string set output format to one of [text,json,json-compact,go-template=] (default "text")
--page-mode string the mode for paging, either paged, buffered or auto. (default "auto")
-q, --quiet set quiet output (helpful when used as part of a script)
--region string Region to use if the project has more than one region
--timeout duration client command timeout (default 10s)
--trainer-url string Trainer service URL (default http://localhost:9001, or TRAINER_URL)
--url string Optimize service URL (default http://localhost:9010, or OPTIMIZE_URL)
--use-grpc-web use grpc-web when talking to Akka APIs. This is useful when behind corporate firewalls that decrypt traffic but don't support HTTP/2.
--verbose set verbose output
SEE ALSO
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akka optimize training - Base models, workloads, runs, snapshots, comparisons, pipelines, evaluations, endpoints and their data
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akka optimize training endpoints create - Make a model answerable at an endpoint
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akka optimize training endpoints delete - Take an endpoint down and release its devices
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akka optimize training endpoints detach - Stop serving one model at an endpoint
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akka optimize training endpoints get - Display an endpoint and the models it serves
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akka optimize training endpoints list - List endpoints
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akka optimize training endpoints proxy - Open a local address that forwards to an endpoint’s model
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akka optimize training endpoints send - Send one input to a model at an endpoint
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akka optimize training endpoints wait - Wait for an endpoint to answer