> ## Documentation Index
> Fetch the complete documentation index at: https://ona.com/docs/llms.txt
> Use this file to discover all available pages before exploring further.
# List LLM Integrations
> Lists LLM integrations for a runner.
`Unary` ยท [`Runner Configurations`](/docs/api-reference/generated/runner-configuration/overview)
Lists LLM integrations for a runner.
Use this method to:
* View all integrations
* Monitor integration status
* Check available LLMs
### Examples
* List integrations:
Shows all LLM integrations.
```yaml theme={null}
filter:
runnerIds: ["d2c94c27-3b76-4a42-b88c-95a85e392c68"]
pagination:
pageSize: 20
```
## Endpoint
```text theme={null}
POST /api/gitpod.v1.RunnerConfigurationService/ListLLMIntegrations
```
Send a Bearer token as described in [Authentication](/docs/api-reference#authenticate-requests). If your organization uses a custom management-plane domain, replace `https://app.ona.com` with that domain.
## Request example
```bash cURL theme={null}
export ONA_HOST=https://app.ona.com
export ONA_API_KEY=
curl --request POST \
--url "$ONA_HOST/api/gitpod.v1.RunnerConfigurationService/ListLLMIntegrations" \
--header "Authorization: Bearer $ONA_API_KEY" \
--header "Content-Type: application/json" \
--data '{
"pagination": {
"pageSize": 1
}
}'
```
```python Python theme={null}
import gitpod.v1.pagination_pb2 as pagination_pb2
import gitpod.v1.runner_configuration_pb2 as runner_configuration_pb2
from ona_sdk import create_client_from_env
ona = create_client_from_env()
request = runner_configuration_pb2.ListLLMIntegrationsRequest(
pagination=pagination_pb2.PaginationRequest(
page_size=1,
),
)
response = ona.services.runner_configuration.list_llm_integrations(request)
print(response)
```
```typescript TypeScript theme={null}
import { create } from "@bufbuild/protobuf";
import { createClientFromEnv } from "@gitpod/sdk";
import { ListLLMIntegrationsRequestSchema } from "@gitpod/sdk/gitpod/v1/runner_configuration_pb";
async function main() {
const ona = createClientFromEnv();
const request = create(ListLLMIntegrationsRequestSchema, {
pagination: {
pageSize: 1,
},
});
const response = await ona.services.runnerConfiguration.listLLMIntegrations(request);
console.log(response);
}
main().catch(console.error);
```
```go Go theme={null}
package main
import (
"context"
"fmt"
"log"
"connectrpc.com/connect"
"github.com/gitpod-io/gitpod-sdk-go/sdk"
gitpodpb "github.com/gitpod-io/gitpod-sdk-go/v1"
)
func main() {
ona, err := sdk.NewFromEnv()
if err != nil {
log.Fatal(err)
}
request := connect.NewRequest(&gitpodpb.ListLLMIntegrationsRequest{
Pagination: &gitpodpb.PaginationRequest{
PageSize: 1,
},
})
response, err := ona.Services.RunnerConfiguration.ListLLMIntegrations(context.Background(), request)
if err != nil {
log.Fatal(err)
}
fmt.Println(response.Msg)
}
```
```json Request body theme={null}
{
"pagination": {
"pageSize": 1
}
}
```
## Request
`gitpod.v1.ListLLMIntegrationsRequest`
| Field | Type | Required | Description |
| ------------ | -------------------------------------------------------------- | -------- | ----------------------------------------------------------------------- |
| `pagination` | [PaginationRequest](#type-gitpod-v1-pagination-request) | No | pagination contains the pagination options for listing scm integrations |
| `filter` | [Filter](#type-gitpod-v1-list-llm-integrations-request-filter) | No | |
## Response
`gitpod.v1.ListLLMIntegrationsResponse`
| Field | Type | Required | Description |
| -------------------------- | ---------------------------------------------------------- | -------- | ------------------------------------------------------------------------------------------------------------------------------------------ |
| `pagination` | [PaginationResponse](#type-gitpod-v1-pagination-response) | No | pagination contains the pagination options for listing llm integrations |
| `integrations` | array of [LLMIntegration](#type-gitpod-v1-llm-integration) | No | |
| `llmManagedByOna` | boolean | No | **Deprecated.** Deprecated: Use ona\_intelligence\_providers together with LLMIntegration.provider instead. |
| `onaIntelligenceProviders` | array of [LLMProvider](#enum-gitpod-v1-llm-provider) | No | ona\_intelligence\_providers lists the provider families governed by Ona Intelligence for the organization that owns the requested runner. |
## Related types
`gitpod.v1.LLMIntegration`
| Field | Type | Required | Description |
| ----------------- | -------------------------------------------------------------------------------------- | -------- | ------------------------------------------------------------------------------------------------------ |
| `id` | string | No | id is the unique identifier of the LLM integration |
| `runnerId` | string | No | |
| `models` | array of [SupportedModel](#enum-gitpod-v1-supported-model) | No | models represents the supported LLM models for this integration |
| `endpoint` | string | No | |
| `encryptedApiKey` | base64 string | No | encrypted\_api\_key is the LLM provider's API key encrypted with the runner's public key. |
| `maxTokens` | 64-bit integer string | No | the maximum number of tokens to generate before stopping. 0 is a model default. |
| `phase` | [LLMIntegrationPhase](#enum-gitpod-v1-llm-integration-phase) | No | phase represents the current status/phase of the LLM integration |
| `phaseReason` | string | No | phase\_reason provides explanation for the current phase (e.g., "insufficient funds", "user disabled") |
| `requestHeaders` | array of [LLMIntegrationRequestHeader](#type-gitpod-v1-llm-integration-request-header) | No | request\_headers contains optional headers for the LLM integration. |
| `provider` | [LLMProvider](#enum-gitpod-v1-llm-provider) | No | provider identifies the governance provider family for this integration. |
LLMIntegrationRequestHeader represents a custom header to be passed to LLM requests.
The value field contains:
* Plain text values in update requests (will be encrypted server-side).
* Encrypted binary values on read requests (decrypt directly to get original value).
`gitpod.v1.LLMIntegrationRequestHeader`
| Field | Type | Required | Description |
| ------------ | -------------------------------------------------------------------------------------- | -------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| `key` | string | No | |
| `value` | base64 string | No | |
| `headerType` | [LLMIntegrationRequestHeaderType](#enum-gitpod-v1-llm-integration-request-header-type) | No | header\_type controls how value is interpreted. Unspecified values are treated as literals for backward compatibility. Constraints: `enum.defined_only=true`. |
`gitpod.v1.ListLLMIntegrationsRequest.Filter`
| Field | Type | Required | Description |
| ----------- | --------------- | -------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| `runnerIds` | array of string | No | runner\_ids filters the response to only LLM integrations of these Runner IDs Constraints: `repeated.items.string.uuid=true, repeated.max_items=25, repeated.min_items=0`. |
`gitpod.v1.PaginationRequest`
| Field | Type | Required | Description |
| ---------- | ------- | -------- | ---------------------------------------------------------------------------------------------------------------------------------------- |
| `pageSize` | integer | No | Page size is the maximum number of results to retrieve per page. Defaults to 25. Maximum 100. Constraints: `int32.gte=0, int32.lte=100`. |
| `token` | string | No | Token for the next set of results that was returned as next\_token of a PaginationResponse |
`gitpod.v1.PaginationResponse`
| Field | Type | Required | Description |
| ----------- | ------ | -------- | --------------------------------------------------------------------------------------- |
| `nextToken` | string | No | Token passed for retrieving the next set of results. Empty if there are no more results |
LLMIntegrationPhase represents the current status/phase of an LLM integration
| Value | Number | Description |
| ----------------------------------- | -----: | ---------------------------------------------------------------- |
| `LLM_INTEGRATION_PHASE_UNSPECIFIED` | 0 | |
| `LLM_INTEGRATION_PHASE_AVAILABLE` | 1 | The integration can be used to make requests |
| `LLM_INTEGRATION_PHASE_UNAVAILABLE` | 2 | The integration cannot be used, likely due to insufficient funds |
| `LLM_INTEGRATION_PHASE_DISABLED` | 3 | The integration cannot be used because the user disabled it |
LLMIntegrationRequestHeaderType describes how an LLM integration request
header value is resolved.
| Value | Number | Description |
| ---------------------------------------------------- | -----: | ---------------------------------------------------------------------------------------- |
| `LLM_INTEGRATION_REQUEST_HEADER_TYPE_UNSPECIFIED` | 0 | Existing untyped headers are literal values. |
| `LLM_INTEGRATION_REQUEST_HEADER_TYPE_LITERAL` | 1 | The configured value is sent as-is when the request does not already contain the header. |
| `LLM_INTEGRATION_REQUEST_HEADER_TYPE_CEL_EXPRESSION` | 2 | The configured value is a CEL expression evaluated by a supported agent. |
| Value | Number | Description |
| -------------------------- | -----: | ---------------------------------------------------------------------------------------------------- |
| `LLM_PROVIDER_UNSPECIFIED` | 0 | |
| `LLM_PROVIDER_ANTHROPIC` | 1 | Anthropic models, including Claude-family models served via Anthropic, Bedrock, or Vertex endpoints. |
| `LLM_PROVIDER_OPENAI` | 2 | OpenAI models, including OPENAI\_AUTO and OpenAI-compatible endpoints. |
SupportedModel enumerates the LLM models available for agent executions
| Value | Number | Description |
| ------------------------------------- | -----: | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| `SUPPORTED_MODEL_UNSPECIFIED` | 0 | |
| `SUPPORTED_MODEL_SONNET_3_5` | 1 | |
| `SUPPORTED_MODEL_SONNET_3_7` | 2 | |
| `SUPPORTED_MODEL_SONNET_3_7_EXTENDED` | 3 | |
| `SUPPORTED_MODEL_SONNET_4` | 4 | |
| `SUPPORTED_MODEL_SONNET_4_EXTENDED` | 5 | |
| `SUPPORTED_MODEL_SONNET_4_5` | 8 | |
| `SUPPORTED_MODEL_SONNET_4_5_EXTENDED` | 9 | |
| `SUPPORTED_MODEL_SONNET_4_6` | 18 | |
| `SUPPORTED_MODEL_SONNET_4_6_EXTENDED` | 19 | |
| `SUPPORTED_MODEL_SONNET_5` | 32 | |
| `SUPPORTED_MODEL_OPUS_4` | 6 | |
| `SUPPORTED_MODEL_OPUS_4_EXTENDED` | 7 | |
| `SUPPORTED_MODEL_OPUS_4_5` | 14 | |
| `SUPPORTED_MODEL_OPUS_4_5_EXTENDED` | 15 | |
| `SUPPORTED_MODEL_OPUS_4_6` | 16 | |
| `SUPPORTED_MODEL_OPUS_4_6_EXTENDED` | 17 | |
| `SUPPORTED_MODEL_OPUS_4_7` | 22 | |
| `SUPPORTED_MODEL_OPUS_4_8` | 31 | |
| `SUPPORTED_MODEL_HAIKU_4_5` | 21 | |
| `SUPPORTED_MODEL_OPENAI_4O` | 10 | |
| `SUPPORTED_MODEL_OPENAI_4O_MINI` | 11 | |
| `SUPPORTED_MODEL_OPENAI_O1` | 12 | |
| `SUPPORTED_MODEL_OPENAI_O1_MINI` | 13 | |
| `SUPPORTED_MODEL_OPENAI_AUTO` | 23 | SUPPORTED\_MODEL\_OPENAI\_AUTO flags a request as OpenAI-bound without encoding a specific model slug. The actual model is chosen by the client (today: native Codex via \~/.codex/config.toml) and captured from the upstream Responses-API response.model field for metering and rate-card lookup. This keeps the proto stable across OpenAI model-catalog churn. Reserved numbers 24-30 are intentionally left free for future OpenAI routing sentinels if we ever need to distinguish sub-families. |