> For the complete documentation index, see [llms.txt](https://docs.interactive.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.interactive.ai/cli/iai_jobs_create.md).

# iai jobs create

Create a job in a project

## Synopsis

Save an image or Python-script job without starting a run. Use 'iai jobs run' for manual execution.

```
iai jobs create <job_name> [flags]
```

## Examples

```
  iai jobs create my-job --image-type external --image-repository docker.io --image-name python --image-tag 3.12-slim --command python --args=-c --args="print('hello')" --memory 512M --cpu 0.5
  iai jobs create my-job --image-type internal --image-name my-app --image-tag v1 --memory 1G --cpu 1 --env LOG_LEVEL=debug --secret DB_PASSWORD
  iai jobs create report --type script --script main.py --pyproject pyproject.toml --memory 512M --cpu 0.5
  iai jobs create daily-report --type script --script main.py --pyproject pyproject.toml --memory 512M --cpu 0.5 --schedule "0 2 * * *" --schedule-timezone Europe/Berlin
```

## Options

```
      --args stringArray                  Container arguments; can be repeated; image jobs only
      --command stringArray               Container entrypoint override; can be repeated; image jobs only
      --cpu string                        CPU cores or millicores (e.g. 0.5, 1, 2, 500m, 1000m)
      --env stringArray                   Environment variable (NAME=VALUE); can be repeated
  -h, --help                              help for create
      --image-name string                 Container image name
      --image-repository string           Image repository; required for external images
      --image-tag string                  Container image tag
      --image-type string                 Image type: 'internal' (project's private registry) or 'external' (any public registry)
      --memory string                     Memory in megabytes (M) or gigabytes (G) (e.g. 128M, 512M, 1G, 1.5G)
      --pyproject string                  pyproject.toml path; required for script jobs; combined with --script, maximum 350,000 bytes
      --retention-failed-runs int32       Failed, timed-out, or stopped runs to retain (0-20); server default: 10
      --retention-successful-runs int32   Successful runs to retain (0-20); server default: 5
      --retention-ttl int32               Seconds to keep finished runs (0-2592000); zero requests immediate cleanup; server default: 604800 seconds
      --retries int32                     Maximum retries after failure; share the run timeout and may repeat side effects; server default: 0
      --schedule string                   Five-field cron schedule or calendar shortcut (e.g. '0 2 * * *', '@daily'); omit for manual execution only
      --schedule-timezone string          IANA timezone for the schedule (e.g. Europe/Berlin, US/Eastern, UTC); defaults to UTC; requires --schedule
      --script string                     Python script path; required for script jobs; combined with --pyproject, maximum 350,000 bytes
      --secret stringArray                Secrets to be loaded as env vars; can be repeated
      --stack-id string                   Stack ID to assign the job to
      --timeout int                       Run time budget in seconds (1-21600, max 6h), including startup, dependency installation, and all retries; server default: 3600 seconds
      --type string                       Job type: 'image' or 'script' (default "image")
```

## Options inherited from parent commands

```
      --api-key string               API key for authentication
      --cfg-file string              Path to YAML config file with organization, project, and optional service definitions
      --deployment-hostname string   Hostname for the deployment API (default "https://deployment.interactive.ai")
      --hostname string              Hostname for the API (default "https://app.interactive.ai")
  -o, --organization string          Organization name that owns the project
  -p, --project string               Project name
```

## SEE ALSO

* [iai jobs](/cli/iai_jobs.md) - Manage saved jobs and executions


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation by asking a question.

Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters:

```
GET https://docs.interactive.ai/cli/iai_jobs_create.md?ask=<question>&goal=<user_goal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case.

The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.