REST API endpoints for Codespaces machines
Use the REST API to manage availability of machine types for a codespace.
About Codespaces machines
You can determine which machine types are available to create a codespace, either on a given repository or as an authenticated user. For more information, see Changing the machine type for your codespace.
You can also use this information when changing the machine of an existing codespace by updating its machine
property. The machine update will take place the next time the codespace is restarted. For more information, see Changing the machine type for your codespace.
List available machine types for a repository
List the machine types available for a given repository based on its configuration.
OAuth app tokens and personal access tokens (classic) need the codespace
scope to use this endpoint.
Fine-grained access tokens for "List available machine types for a repository"
This endpoint works with the following fine-grained token types:
- GitHub App user access tokens
- GitHub App installation access tokens
- Fine-grained personal access tokens
The fine-grained token must have the following permission set:
- "Codespaces metadata" repository permissions (read)
Parameters for "List available machine types for a repository"
Name, Type, Description |
---|
accept string Setting to |
Name, Type, Description |
---|
owner string RequiredThe account owner of the repository. The name is not case sensitive. |
repo string RequiredThe name of the repository without the |
Name, Type, Description |
---|
location string The location to check for available machines. Assigned by IP if not provided. |
client_ip string IP for location auto-detection when proxying a request |
ref string The branch or commit to check for prebuild availability and devcontainer restrictions. |
HTTP response status codes for "List available machine types for a repository"
Status code | Description |
---|---|
200 | OK |
304 | Not modified |
401 | Requires authentication |
403 | Forbidden |
404 | Resource not found |
500 | Internal Error |
Code samples for "List available machine types for a repository"
Request example
curl -L \
-H "Accept: application/vnd.github+json" \
-H "Authorization: Bearer <YOUR-TOKEN>" \
-H "X-GitHub-Api-Version: 2022-11-28" \
https://api.github.com/repos/OWNER/REPO/codespaces/machines
Response
Status: 200
{
"total_count": 2,
"machines": [
{
"name": "standardLinux",
"display_name": "4 cores, 16 GB RAM, 64 GB storage",
"operating_system": "linux",
"storage_in_bytes": 68719476736,
"memory_in_bytes": 17179869184,
"cpus": 4
},
{
"name": "premiumLinux",
"display_name": "8 cores, 32 GB RAM, 64 GB storage",
"operating_system": "linux",
"storage_in_bytes": 68719476736,
"memory_in_bytes": 34359738368,
"cpus": 8
}
]
}
List machine types for a codespace
List the machine types a codespace can transition to use.
OAuth app tokens and personal access tokens (classic) need the codespace
scope to use this endpoint.
Fine-grained access tokens for "List machine types for a codespace"
This endpoint works with the following fine-grained token types:
The fine-grained token must have the following permission set:
- "Codespaces metadata" repository permissions (read)
Parameters for "List machine types for a codespace"
Name, Type, Description |
---|
accept string Setting to |
Name, Type, Description |
---|
codespace_name string RequiredThe name of the codespace. |
HTTP response status codes for "List machine types for a codespace"
Status code | Description |
---|---|
200 | OK |
304 | Not modified |
401 | Requires authentication |
403 | Forbidden |
404 | Resource not found |
500 | Internal Error |
Code samples for "List machine types for a codespace"
Request example
curl -L \
-H "Accept: application/vnd.github+json" \
-H "Authorization: Bearer <YOUR-TOKEN>" \
-H "X-GitHub-Api-Version: 2022-11-28" \
https://api.github.com/user/codespaces/CODESPACE_NAME/machines
Response
Status: 200
{
"total_count": 2,
"machines": [
{
"name": "standardLinux",
"display_name": "4 cores, 16 GB RAM, 64 GB storage",
"operating_system": "linux",
"storage_in_bytes": 68719476736,
"memory_in_bytes": 17179869184,
"cpus": 4
},
{
"name": "premiumLinux",
"display_name": "8 cores, 32 GB RAM, 64 GB storage",
"operating_system": "linux",
"storage_in_bytes": 68719476736,
"memory_in_bytes": 34359738368,
"cpus": 8
}
]
}