# get\_\_ai\_llm\_available {% hint style="info" %} This API endpoint is currently available only in the TEST environment. It is not yet available in production. {% endhint %} `GET /ai/llm/available` *Get Available AI LLM Configurations* Retrieve all AI/LLM provider configurations that are available for use. This endpoint returns configurations that can be associated with repositories or used for AI-powered features. **Key Differences from GET /ai/llm:** * This endpoint returns only configurations that are available and ready for use * Configurations must be validated and active * Useful for selecting AI providers when creating or updating repositories **Use Cases:** * Populate dropdown lists when configuring repositories * Display available AI options to users * Verify which AI providers are configured and accessible **Important Notes:** * API secrets are never returned in responses (only masked/null values) * Results are filtered based on workspace access permissions * Configurations are sorted by creation date (newest first) #### TypeScript Client Library ```typescript public getAvailableAiLlms = async (): Promise => { return this.makeRequest('ai/llm/available', 'GET', null); }; ``` #### Code Samples {% tabs %} {% tab title="Shell" %} ```shell # You can also use wget curl -X GET https://backend.flashback.tech/ai/llm/available \ -H 'Accept: application/json' \ -H 'Authorization: Bearer {access-token}' ``` {% endtab %} {% tab title="HTTP" %} ```http GET https://backend.flashback.tech/ai/llm/available HTTP/1.1 Host: backend.flashback.tech Accept: application/json ``` {% endtab %} {% tab title="JavaScript" %} ```javascript const headers = { 'Accept':'application/json', 'Authorization':'Bearer {access-token}' }; fetch('https://backend.flashback.tech/ai/llm/available', { method: 'GET', headers: headers }) .then(function(res) { return res.json(); }).then(function(body) { console.log(body); }); ``` {% endtab %} {% tab title="Ruby" %} ```ruby require 'rest-client' require 'json' headers = { 'Accept' => 'application/json', 'Authorization' => 'Bearer {access-token}' } result = RestClient.get 'https://backend.flashback.tech/ai/llm/available', params: { }, headers: headers p JSON.parse(result) ``` {% endtab %} {% tab title="Python" %} ```python import requests headers = { 'Accept': 'application/json', 'Authorization': 'Bearer {access-token}' } r = requests.get('https://backend.flashback.tech/ai/llm/available', headers = headers) print(r.json()) ``` {% endtab %} {% tab title="PHP" %} ```php 'application/json', 'Authorization' => 'Bearer {access-token}', ); $client = new \GuzzleHttp\Client(); try { $response = $client->request('GET','https://backend.flashback.tech/ai/llm/available', array( 'headers' => $headers, ) ); print_r($response->getBody()->getContents()); } catch (\GuzzleHttp\Exception\BadResponseException $e) { // handle exception or api errors. print_r($e->getMessage()); } // ... ``` {% endtab %} {% tab title="Java" %} ```java URL obj = new URL("https://backend.flashback.tech/ai/llm/available"); HttpURLConnection con = (HttpURLConnection) obj.openConnection(); con.setRequestMethod("GET"); int responseCode = con.getResponseCode(); BufferedReader in = new BufferedReader( new InputStreamReader(con.getInputStream())); String inputLine; StringBuffer response = new StringBuffer(); while ((inputLine = in.readLine()) != null) { response.append(inputLine); } in.close(); System.out.println(response.toString()); ``` {% endtab %} {% tab title="Go" %} ```go package main import ( "bytes" "net/http" ) func main() { headers := map[string][]string{ "Accept": []string{"application/json"}, "Authorization": []string{"Bearer {access-token}"}, } data := bytes.NewBuffer([]byte{jsonReq}) req, err := http.NewRequest("GET", "https://backend.flashback.tech/ai/llm/available", data) req.Header = headers client := &http.Client{} resp, err := client.Do(req) // ... } ``` {% endtab %} {% endtabs %} #### Parameters This endpoint does not require any parameters. > Example responses > 200 Response ```json { "success": true, "aiLlms": [ { "id": "550e8400-e29b-41d4-a716-446655440000", "orgId": "org-123", "workspaceId": "workspace-123", "userId": "user-456", "name": "Production OpenAI", "aiType": "OPENAI", "endpoint": "https://api.openai.com/v1", "key": null, "createdAt": "2024-01-15T10:30:00.000Z", "repos": [] }, { "id": "660f9511-f3ac-52e5-b827-557766551111", "orgId": "org-123", "workspaceId": "workspace-123", "userId": "user-456", "name": "Anthropic Claude", "aiType": "ANTHROPIC", "endpoint": "https://api.anthropic.com/v1", "key": null, "createdAt": "2024-01-14T08:20:00.000Z", "repos": [ { "id": "repo-789", "name": "ai-repo", "createdAt": "2024-01-16T08:00:00.000Z" } ] } ] } ``` #### Responses | Status | Meaning | Description | Schema | | ------ | -------------------------------------------------------------------------- | ----------------------------------------------- | ------ | | 200 | [OK](https://tools.ietf.org/html/rfc7231#section-6.3.1) | Successfully retrieved available configurations | Inline | | 403 | [Forbidden](https://tools.ietf.org/html/rfc7231#section-6.5.3) | Insufficient permissions | Inline | | 500 | [Internal Server Error](https://tools.ietf.org/html/rfc7231#section-6.6.1) | Failed to retrieve configurations | Inline | #### Response Schema Status Code **200** | Name | Type | Required | Restrictions | Description | | -------------- | --------- | -------- | ------------ | ---------------------------------------- | | » success | boolean | false | none | Operation success status | | » aiLlms | \[object] | false | none | Array of available AI LLM configurations | | »» id | string | false | none | Unique identifier for the configuration | | »» orgId | string | false | none | Organization ID | | »» workspaceId | string | false | none | Workspace ID | | »» userId | string | false | none | User ID who created the configuration | | »» name | string | false | none | Configuration name | | »» aiType | string | false | none | AI provider type (OPENAI, GOOGLE, etc.) | | »» endpoint | string | false | none | API endpoint URL | | »» key | string | false | none | Access key (always null for security) | | »» createdAt | string | false | none | ISO 8601 timestamp | | »» repos | \[object] | false | none | Associated repositories (optional) | | »»» id | string | false | none | Repository ID | | »»» name | string | false | none | Repository name | | »»» createdAt | string | false | none | Repository creation timestamp | Status Code **403** | Name | Type | Required | Restrictions | Description | | --------- | ------- | -------- | ------------ | ----------- | | » success | boolean | false | none | none | | » message | string | false | none | none | Status Code **500** | Name | Type | Required | Restrictions | Description | | --------- | ------- | -------- | ------------ | ----------- | | » success | boolean | false | none | none | | » message | string | false | none | none | To perform this operation, you must be authenticated by means of one of the following methods: BearerAuth --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://docs.flashback.tech/support-reference/platform-api-reference/ai-apis/ai-llms/get_ai_llm_available.md?ask= ``` The question should be specific, self-contained, and written in natural language. 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.