> ## Documentation Index > Fetch the complete documentation index at: https://docs.formal.ai/llms.txt > Use this file to discover all available pages before exploring further. # CreateConnectorAiProvider > Connector AI Provider ## OpenAPI ````yaml /docs/api/openapi/connectors_openapi.json post /core.v1.ConnectorService/CreateConnectorAiProvider openapi: 3.1.0 info: title: core.v1.ConnectorService version: 0.0.1 servers: - url: https://api.joinformal.com description: Production API security: [] tags: - name: core.v1.ConnectorService paths: /core.v1.ConnectorService/CreateConnectorAiProvider: post: tags: - core.v1.ConnectorService summary: CreateConnectorAiProvider description: Connector AI Provider operationId: core.v1.ConnectorService.CreateConnectorAiProvider requestBody: content: application/json: schema: $ref: '#/components/schemas/core.v1.CreateConnectorAiProviderRequest' required: true responses: '200': description: Success content: application/json: schema: $ref: '#/components/schemas/core.v1.CreateConnectorAiProviderResponse' '400': description: Bad Request - Invalid request parameters or body content: application/json: schema: type: object properties: code: type: string example: invalid_request message: type: string example: Invalid request parameters details: type: object '401': description: Unauthorized - Missing or invalid authentication content: application/json: schema: type: object properties: code: type: string example: unauthorized message: type: string example: Authentication required '403': description: Forbidden - Insufficient permissions content: application/json: schema: type: object properties: code: type: string example: forbidden message: type: string example: Insufficient permissions to perform this action '404': description: Not Found - Resource does not exist content: application/json: schema: type: object properties: code: type: string example: not_found message: type: string example: Resource not found '500': description: Internal Server Error - An error occurred processing the request content: application/json: schema: type: object properties: code: type: string example: internal_error message: type: string example: An internal error occurred security: - ApiKeyAuth: [] x-codeSamples: - lang: curl label: cURL source: >- curl -X POST "https://api.joinformal.com/core.v1.ConnectorService/CreateConnectorAiProvider" \ -H "X-API-KEY: YOUR_API_KEY" \ -H "Content-Type: application/json" \ -d '{ "example": "value" }' - lang: javascript label: JavaScript (fetch) source: >- fetch("https://api.joinformal.com/core.v1.ConnectorService/CreateConnectorAiProvider", { method: "POST", headers: { "X-API-KEY": "YOUR_API_KEY", "Content-Type": "application/json" }, body: JSON.stringify({ example: "value" }) }) .then(response => response.json()) .then(data => console.log(data)) .catch(error => console.error(error)); - lang: python label: Python source: >- import requests url = "https://api.joinformal.com/core.v1.ConnectorService/CreateConnectorAiProvider" headers = { "X-API-KEY": "YOUR_API_KEY", "Content-Type": "application/json" } data = { "example": "value" } response = requests.post(url, headers=headers, json=data) print(response.json()) - lang: go label: Go source: |- package main import ( "bytes" "encoding/json" "fmt" "io" "net/http" ) func main() { url := "https://api.joinformal.com/core.v1.ConnectorService/CreateConnectorAiProvider" body := map[string]string{ "example": "value", } jsonData, _ := json.Marshal(body) req, _ := http.NewRequest("POST", url, bytes.NewBuffer(jsonData)) req.Header.Set("X-API-KEY", "YOUR_API_KEY") req.Header.Set("Content-Type", "application/json") client := &http.Client{} resp, err := client.Do(req) if err != nil { panic(err) } defer resp.Body.Close() responseBody, _ := io.ReadAll(resp.Body) fmt.Println(string(responseBody)) } components: schemas: core.v1.CreateConnectorAiProviderRequest: type: object properties: connectorId: type: string title: connector_id minLength: 1 config: $ref: '#/components/schemas/core.v1.ConnectorAiProviderConfig' title: config title: CreateConnectorAiProviderRequest required: - config additionalProperties: false core.v1.CreateConnectorAiProviderResponse: type: object properties: connectorAiProvider: $ref: '#/components/schemas/core.v1.ConnectorAiProvider' title: connector_ai_provider title: CreateConnectorAiProviderResponse additionalProperties: false core.v1.ConnectorAiProviderConfig: type: object properties: anthropic: $ref: '#/components/schemas/core.v1.AnthropicConfig' title: anthropic description: One of the discriminated union fields - use exactly one awsBedrock: $ref: '#/components/schemas/core.v1.AwsBedrockConfig' title: aws_bedrock description: One of the discriminated union fields - use exactly one azureAi: $ref: '#/components/schemas/core.v1.AzureAiConfig' title: azure_ai description: One of the discriminated union fields - use exactly one formalAiSatellite: $ref: '#/components/schemas/core.v1.FormalAiSatelliteConfig' title: formal_ai_satellite description: One of the discriminated union fields - use exactly one gemini: $ref: '#/components/schemas/core.v1.GeminiConfig' title: gemini description: One of the discriminated union fields - use exactly one googleVertexAi: $ref: '#/components/schemas/core.v1.GoogleVertexAiConfig' title: google_vertex_ai description: One of the discriminated union fields - use exactly one openai: $ref: '#/components/schemas/core.v1.OpenAiConfig' title: openai description: One of the discriminated union fields - use exactly one title: ConnectorAiProviderConfig additionalProperties: false description: >- Exactly one of these fields is required: anthropic or aws_bedrock or azure_ai or formal_ai_satellite or gemini or google_vertex_ai or openai. core.v1.ConnectorAiProvider: type: object properties: id: type: string title: id connectorId: type: string title: connector_id config: $ref: '#/components/schemas/core.v1.ConnectorAiProviderConfig' title: config createdAt: $ref: '#/components/schemas/google.protobuf.Timestamp' title: created_at updatedAt: $ref: '#/components/schemas/google.protobuf.Timestamp' title: updated_at title: ConnectorAiProvider additionalProperties: false description: Entity core.v1.AnthropicConfig: type: object properties: apiKey: type: string title: api_key minLength: 1 title: AnthropicConfig additionalProperties: false core.v1.AwsBedrockConfig: type: object properties: region: type: string title: region minLength: 1 title: AwsBedrockConfig additionalProperties: false core.v1.AzureAiConfig: type: object properties: apiKey: type: string title: api_key minLength: 1 endpoint: type: string title: endpoint minLength: 1 title: AzureAiConfig additionalProperties: false core.v1.FormalAiSatelliteConfig: type: object title: FormalAiSatelliteConfig additionalProperties: false core.v1.GeminiConfig: type: object properties: apiKey: type: string title: api_key minLength: 1 title: GeminiConfig additionalProperties: false core.v1.GoogleVertexAiConfig: type: object properties: gcpProjectId: type: string title: gcp_project_id minLength: 1 region: type: string title: region minLength: 1 title: GoogleVertexAiConfig additionalProperties: false core.v1.OpenAiConfig: type: object properties: apiKey: type: string title: api_key minLength: 1 title: OpenAiConfig additionalProperties: false google.protobuf.Timestamp: type: string examples: - '2023-01-15T01:30:15.01Z' - '2024-12-25T12:00:00Z' format: date-time description: >- A Timestamp represents a point in time independent of any time zone or local calendar, encoded as a count of seconds and fractions of seconds at nanosecond resolution. The count is relative to an epoch at UTC midnight on January 1, 1970, in the proleptic Gregorian calendar which extends the Gregorian calendar backwards to year one. All minutes are 60 seconds long. Leap seconds are "smeared" so that no leap second table is needed for interpretation, using a [24-hour linear smear](https://developers.google.com/time/smear). The range is from 0001-01-01T00:00:00Z to 9999-12-31T23:59:59.999999999Z. By restricting to that range, we ensure that we can convert to and from [RFC 3339](https://www.ietf.org/rfc/rfc3339.txt) date strings. # Examples Example 1: Compute Timestamp from POSIX `time()`. Timestamp timestamp; timestamp.set_seconds(time(NULL)); timestamp.set_nanos(0); Example 2: Compute Timestamp from POSIX `gettimeofday()`. struct timeval tv; gettimeofday(&tv, NULL); Timestamp timestamp; timestamp.set_seconds(tv.tv_sec); timestamp.set_nanos(tv.tv_usec * 1000); Example 3: Compute Timestamp from Win32 `GetSystemTimeAsFileTime()`. FILETIME ft; GetSystemTimeAsFileTime(&ft); UINT64 ticks = (((UINT64)ft.dwHighDateTime) << 32) | ft.dwLowDateTime; // A Windows tick is 100 nanoseconds. Windows epoch 1601-01-01T00:00:00Z // is 11644473600 seconds before Unix epoch 1970-01-01T00:00:00Z. Timestamp timestamp; timestamp.set_seconds((INT64) ((ticks / 10000000) - 11644473600LL)); timestamp.set_nanos((INT32) ((ticks % 10000000) * 100)); Example 4: Compute Timestamp from Java `System.currentTimeMillis()`. long millis = System.currentTimeMillis(); Timestamp timestamp = Timestamp.newBuilder().setSeconds(millis / 1000) .setNanos((int) ((millis % 1000) * 1000000)).build(); Example 5: Compute Timestamp from Java `Instant.now()`. Instant now = Instant.now(); Timestamp timestamp = Timestamp.newBuilder().setSeconds(now.getEpochSecond()) .setNanos(now.getNano()).build(); Example 6: Compute Timestamp from current time in Python. timestamp = Timestamp() timestamp.GetCurrentTime() # JSON Mapping In JSON format, the Timestamp type is encoded as a string in the [RFC 3339](https://www.ietf.org/rfc/rfc3339.txt) format. That is, the format is "{year}-{month}-{day}T{hour}:{min}:{sec}[.{frac_sec}]Z" where {year} is always expressed using four digits while {month}, {day}, {hour}, {min}, and {sec} are zero-padded to two digits each. The fractional seconds, which can go up to 9 digits (i.e. up to 1 nanosecond resolution), are optional. The "Z" suffix indicates the timezone ("UTC"); the timezone is required. A proto3 JSON serializer should always use UTC (as indicated by "Z") when printing the Timestamp type and a proto3 JSON parser should be able to accept both UTC and other timezones (as indicated by an offset). For example, "2017-01-15T01:30:15.01Z" encodes 15.01 seconds past 01:30 UTC on January 15, 2017. In JavaScript, one can convert a Date object to this format using the standard [toISOString()](https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/Date/toISOString) method. In Python, a standard `datetime.datetime` object can be converted to this format using [`strftime`](https://docs.python.org/2/library/time.html#time.strftime) with the time format spec '%Y-%m-%dT%H:%M:%S.%fZ'. Likewise, in Java, one can use the Joda Time's [`ISODateTimeFormat.dateTime()`]( http://joda-time.sourceforge.net/apidocs/org/joda/time/format/ISODateTimeFormat.html#dateTime() ) to obtain a formatter capable of generating timestamps in this format. securitySchemes: ApiKeyAuth: type: apiKey in: header name: X-API-KEY description: API key authentication. Get your API key from the Formal console. ````