Create or update AWS SageMaker integration
curl --request PUT \
--url https://api.galileo.ai/v2/integrations/aws_sagemaker \
--header 'Content-Type: application/json' \
--header 'Galileo-API-Key: <api-key>' \
--data '
{
"token": {},
"multi_modal_config": {
"max_files": 2,
"max_file_size_bytes": 2
},
"models": [
{
"name": "<string>",
"alias": "<string>",
"integration": "openai",
"user_role": "<string>",
"assistant_role": "<string>",
"system_supported": false,
"input_modalities": [],
"alternative_names": [
"<string>"
],
"input_token_limit": 123,
"output_token_limit": 123,
"token_limit": 123,
"cost_by": "tokens",
"is_chat": false,
"provides_log_probs": false,
"formatting_tokens": 0,
"response_prefix_tokens": 0,
"api_version": "<string>",
"legacy_mistral_prompt_format": false,
"requires_max_tokens": false,
"max_top_p": 123,
"params_map": {
"model": "<string>",
"temperature": "<string>",
"max_tokens": "<string>",
"stop_sequences": "<string>",
"top_p": "<string>",
"top_k": "<string>",
"frequency_penalty": "<string>",
"presence_penalty": "<string>",
"echo": "<string>",
"logprobs": "<string>",
"top_logprobs": "<string>",
"n": "<string>",
"api_version": "<string>",
"tools": "<string>",
"tool_choice": "<string>",
"response_format": "<string>",
"reasoning_effort": "<string>",
"verbosity": "<string>",
"deployment_name": "<string>"
},
"output_map": {
"response": "<string>",
"token_count": "<string>",
"input_token_count": "<string>",
"output_token_count": "<string>",
"completion_reason": "<string>"
},
"input_map": {
"prompt": "<string>",
"prefix": "",
"suffix": ""
}
}
],
"credential_type": "key_secret",
"region": "us-west-2",
"inference_profiles": {}
}
'import requests
url = "https://api.galileo.ai/v2/integrations/aws_sagemaker"
payload = {
"token": {},
"multi_modal_config": {
"max_files": 2,
"max_file_size_bytes": 2
},
"models": [
{
"name": "<string>",
"alias": "<string>",
"integration": "openai",
"user_role": "<string>",
"assistant_role": "<string>",
"system_supported": False,
"input_modalities": [],
"alternative_names": ["<string>"],
"input_token_limit": 123,
"output_token_limit": 123,
"token_limit": 123,
"cost_by": "tokens",
"is_chat": False,
"provides_log_probs": False,
"formatting_tokens": 0,
"response_prefix_tokens": 0,
"api_version": "<string>",
"legacy_mistral_prompt_format": False,
"requires_max_tokens": False,
"max_top_p": 123,
"params_map": {
"model": "<string>",
"temperature": "<string>",
"max_tokens": "<string>",
"stop_sequences": "<string>",
"top_p": "<string>",
"top_k": "<string>",
"frequency_penalty": "<string>",
"presence_penalty": "<string>",
"echo": "<string>",
"logprobs": "<string>",
"top_logprobs": "<string>",
"n": "<string>",
"api_version": "<string>",
"tools": "<string>",
"tool_choice": "<string>",
"response_format": "<string>",
"reasoning_effort": "<string>",
"verbosity": "<string>",
"deployment_name": "<string>"
},
"output_map": {
"response": "<string>",
"token_count": "<string>",
"input_token_count": "<string>",
"output_token_count": "<string>",
"completion_reason": "<string>"
},
"input_map": {
"prompt": "<string>",
"prefix": "",
"suffix": ""
}
}
],
"credential_type": "key_secret",
"region": "us-west-2",
"inference_profiles": {}
}
headers = {
"Galileo-API-Key": "<api-key>",
"Content-Type": "application/json"
}
response = requests.put(url, json=payload, headers=headers)
print(response.text)const options = {
method: 'PUT',
headers: {'Galileo-API-Key': '<api-key>', 'Content-Type': 'application/json'},
body: JSON.stringify({
token: {},
multi_modal_config: {max_files: 2, max_file_size_bytes: 2},
models: [
{
name: '<string>',
alias: '<string>',
integration: 'openai',
user_role: '<string>',
assistant_role: '<string>',
system_supported: false,
input_modalities: [],
alternative_names: ['<string>'],
input_token_limit: 123,
output_token_limit: 123,
token_limit: 123,
cost_by: 'tokens',
is_chat: false,
provides_log_probs: false,
formatting_tokens: 0,
response_prefix_tokens: 0,
api_version: '<string>',
legacy_mistral_prompt_format: false,
requires_max_tokens: false,
max_top_p: 123,
params_map: {
model: '<string>',
temperature: '<string>',
max_tokens: '<string>',
stop_sequences: '<string>',
top_p: '<string>',
top_k: '<string>',
frequency_penalty: '<string>',
presence_penalty: '<string>',
echo: '<string>',
logprobs: '<string>',
top_logprobs: '<string>',
n: '<string>',
api_version: '<string>',
tools: '<string>',
tool_choice: '<string>',
response_format: '<string>',
reasoning_effort: '<string>',
verbosity: '<string>',
deployment_name: '<string>'
},
output_map: {
response: '<string>',
token_count: '<string>',
input_token_count: '<string>',
output_token_count: '<string>',
completion_reason: '<string>'
},
input_map: {prompt: '<string>', prefix: '', suffix: ''}
}
],
credential_type: 'key_secret',
region: 'us-west-2',
inference_profiles: {}
})
};
fetch('https://api.galileo.ai/v2/integrations/aws_sagemaker', options)
.then(res => res.json())
.then(res => console.log(res))
.catch(err => console.error(err));<?php
$curl = curl_init();
curl_setopt_array($curl, [
CURLOPT_URL => "https://api.galileo.ai/v2/integrations/aws_sagemaker",
CURLOPT_RETURNTRANSFER => true,
CURLOPT_ENCODING => "",
CURLOPT_MAXREDIRS => 10,
CURLOPT_TIMEOUT => 30,
CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
CURLOPT_CUSTOMREQUEST => "PUT",
CURLOPT_POSTFIELDS => json_encode([
'token' => [
],
'multi_modal_config' => [
'max_files' => 2,
'max_file_size_bytes' => 2
],
'models' => [
[
'name' => '<string>',
'alias' => '<string>',
'integration' => 'openai',
'user_role' => '<string>',
'assistant_role' => '<string>',
'system_supported' => false,
'input_modalities' => [
],
'alternative_names' => [
'<string>'
],
'input_token_limit' => 123,
'output_token_limit' => 123,
'token_limit' => 123,
'cost_by' => 'tokens',
'is_chat' => false,
'provides_log_probs' => false,
'formatting_tokens' => 0,
'response_prefix_tokens' => 0,
'api_version' => '<string>',
'legacy_mistral_prompt_format' => false,
'requires_max_tokens' => false,
'max_top_p' => 123,
'params_map' => [
'model' => '<string>',
'temperature' => '<string>',
'max_tokens' => '<string>',
'stop_sequences' => '<string>',
'top_p' => '<string>',
'top_k' => '<string>',
'frequency_penalty' => '<string>',
'presence_penalty' => '<string>',
'echo' => '<string>',
'logprobs' => '<string>',
'top_logprobs' => '<string>',
'n' => '<string>',
'api_version' => '<string>',
'tools' => '<string>',
'tool_choice' => '<string>',
'response_format' => '<string>',
'reasoning_effort' => '<string>',
'verbosity' => '<string>',
'deployment_name' => '<string>'
],
'output_map' => [
'response' => '<string>',
'token_count' => '<string>',
'input_token_count' => '<string>',
'output_token_count' => '<string>',
'completion_reason' => '<string>'
],
'input_map' => [
'prompt' => '<string>',
'prefix' => '',
'suffix' => ''
]
]
],
'credential_type' => 'key_secret',
'region' => 'us-west-2',
'inference_profiles' => [
]
]),
CURLOPT_HTTPHEADER => [
"Content-Type: application/json",
"Galileo-API-Key: <api-key>"
],
]);
$response = curl_exec($curl);
$err = curl_error($curl);
curl_close($curl);
if ($err) {
echo "cURL Error #:" . $err;
} else {
echo $response;
}package main
import (
"fmt"
"strings"
"net/http"
"io"
)
func main() {
url := "https://api.galileo.ai/v2/integrations/aws_sagemaker"
payload := strings.NewReader("{\n \"token\": {},\n \"multi_modal_config\": {\n \"max_files\": 2,\n \"max_file_size_bytes\": 2\n },\n \"models\": [\n {\n \"name\": \"<string>\",\n \"alias\": \"<string>\",\n \"integration\": \"openai\",\n \"user_role\": \"<string>\",\n \"assistant_role\": \"<string>\",\n \"system_supported\": false,\n \"input_modalities\": [],\n \"alternative_names\": [\n \"<string>\"\n ],\n \"input_token_limit\": 123,\n \"output_token_limit\": 123,\n \"token_limit\": 123,\n \"cost_by\": \"tokens\",\n \"is_chat\": false,\n \"provides_log_probs\": false,\n \"formatting_tokens\": 0,\n \"response_prefix_tokens\": 0,\n \"api_version\": \"<string>\",\n \"legacy_mistral_prompt_format\": false,\n \"requires_max_tokens\": false,\n \"max_top_p\": 123,\n \"params_map\": {\n \"model\": \"<string>\",\n \"temperature\": \"<string>\",\n \"max_tokens\": \"<string>\",\n \"stop_sequences\": \"<string>\",\n \"top_p\": \"<string>\",\n \"top_k\": \"<string>\",\n \"frequency_penalty\": \"<string>\",\n \"presence_penalty\": \"<string>\",\n \"echo\": \"<string>\",\n \"logprobs\": \"<string>\",\n \"top_logprobs\": \"<string>\",\n \"n\": \"<string>\",\n \"api_version\": \"<string>\",\n \"tools\": \"<string>\",\n \"tool_choice\": \"<string>\",\n \"response_format\": \"<string>\",\n \"reasoning_effort\": \"<string>\",\n \"verbosity\": \"<string>\",\n \"deployment_name\": \"<string>\"\n },\n \"output_map\": {\n \"response\": \"<string>\",\n \"token_count\": \"<string>\",\n \"input_token_count\": \"<string>\",\n \"output_token_count\": \"<string>\",\n \"completion_reason\": \"<string>\"\n },\n \"input_map\": {\n \"prompt\": \"<string>\",\n \"prefix\": \"\",\n \"suffix\": \"\"\n }\n }\n ],\n \"credential_type\": \"key_secret\",\n \"region\": \"us-west-2\",\n \"inference_profiles\": {}\n}")
req, _ := http.NewRequest("PUT", url, payload)
req.Header.Add("Galileo-API-Key", "<api-key>")
req.Header.Add("Content-Type", "application/json")
res, _ := http.DefaultClient.Do(req)
defer res.Body.Close()
body, _ := io.ReadAll(res.Body)
fmt.Println(string(body))
}HttpResponse<String> response = Unirest.put("https://api.galileo.ai/v2/integrations/aws_sagemaker")
.header("Galileo-API-Key", "<api-key>")
.header("Content-Type", "application/json")
.body("{\n \"token\": {},\n \"multi_modal_config\": {\n \"max_files\": 2,\n \"max_file_size_bytes\": 2\n },\n \"models\": [\n {\n \"name\": \"<string>\",\n \"alias\": \"<string>\",\n \"integration\": \"openai\",\n \"user_role\": \"<string>\",\n \"assistant_role\": \"<string>\",\n \"system_supported\": false,\n \"input_modalities\": [],\n \"alternative_names\": [\n \"<string>\"\n ],\n \"input_token_limit\": 123,\n \"output_token_limit\": 123,\n \"token_limit\": 123,\n \"cost_by\": \"tokens\",\n \"is_chat\": false,\n \"provides_log_probs\": false,\n \"formatting_tokens\": 0,\n \"response_prefix_tokens\": 0,\n \"api_version\": \"<string>\",\n \"legacy_mistral_prompt_format\": false,\n \"requires_max_tokens\": false,\n \"max_top_p\": 123,\n \"params_map\": {\n \"model\": \"<string>\",\n \"temperature\": \"<string>\",\n \"max_tokens\": \"<string>\",\n \"stop_sequences\": \"<string>\",\n \"top_p\": \"<string>\",\n \"top_k\": \"<string>\",\n \"frequency_penalty\": \"<string>\",\n \"presence_penalty\": \"<string>\",\n \"echo\": \"<string>\",\n \"logprobs\": \"<string>\",\n \"top_logprobs\": \"<string>\",\n \"n\": \"<string>\",\n \"api_version\": \"<string>\",\n \"tools\": \"<string>\",\n \"tool_choice\": \"<string>\",\n \"response_format\": \"<string>\",\n \"reasoning_effort\": \"<string>\",\n \"verbosity\": \"<string>\",\n \"deployment_name\": \"<string>\"\n },\n \"output_map\": {\n \"response\": \"<string>\",\n \"token_count\": \"<string>\",\n \"input_token_count\": \"<string>\",\n \"output_token_count\": \"<string>\",\n \"completion_reason\": \"<string>\"\n },\n \"input_map\": {\n \"prompt\": \"<string>\",\n \"prefix\": \"\",\n \"suffix\": \"\"\n }\n }\n ],\n \"credential_type\": \"key_secret\",\n \"region\": \"us-west-2\",\n \"inference_profiles\": {}\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.galileo.ai/v2/integrations/aws_sagemaker")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Put.new(url)
request["Galileo-API-Key"] = '<api-key>'
request["Content-Type"] = 'application/json'
request.body = "{\n \"token\": {},\n \"multi_modal_config\": {\n \"max_files\": 2,\n \"max_file_size_bytes\": 2\n },\n \"models\": [\n {\n \"name\": \"<string>\",\n \"alias\": \"<string>\",\n \"integration\": \"openai\",\n \"user_role\": \"<string>\",\n \"assistant_role\": \"<string>\",\n \"system_supported\": false,\n \"input_modalities\": [],\n \"alternative_names\": [\n \"<string>\"\n ],\n \"input_token_limit\": 123,\n \"output_token_limit\": 123,\n \"token_limit\": 123,\n \"cost_by\": \"tokens\",\n \"is_chat\": false,\n \"provides_log_probs\": false,\n \"formatting_tokens\": 0,\n \"response_prefix_tokens\": 0,\n \"api_version\": \"<string>\",\n \"legacy_mistral_prompt_format\": false,\n \"requires_max_tokens\": false,\n \"max_top_p\": 123,\n \"params_map\": {\n \"model\": \"<string>\",\n \"temperature\": \"<string>\",\n \"max_tokens\": \"<string>\",\n \"stop_sequences\": \"<string>\",\n \"top_p\": \"<string>\",\n \"top_k\": \"<string>\",\n \"frequency_penalty\": \"<string>\",\n \"presence_penalty\": \"<string>\",\n \"echo\": \"<string>\",\n \"logprobs\": \"<string>\",\n \"top_logprobs\": \"<string>\",\n \"n\": \"<string>\",\n \"api_version\": \"<string>\",\n \"tools\": \"<string>\",\n \"tool_choice\": \"<string>\",\n \"response_format\": \"<string>\",\n \"reasoning_effort\": \"<string>\",\n \"verbosity\": \"<string>\",\n \"deployment_name\": \"<string>\"\n },\n \"output_map\": {\n \"response\": \"<string>\",\n \"token_count\": \"<string>\",\n \"input_token_count\": \"<string>\",\n \"output_token_count\": \"<string>\",\n \"completion_reason\": \"<string>\"\n },\n \"input_map\": {\n \"prompt\": \"<string>\",\n \"prefix\": \"\",\n \"suffix\": \"\"\n }\n }\n ],\n \"credential_type\": \"key_secret\",\n \"region\": \"us-west-2\",\n \"inference_profiles\": {}\n}"
response = http.request(request)
puts response.read_body{
"id": "<string>",
"name": "<string>",
"created_at": "2023-11-07T05:31:56Z",
"updated_at": "2023-11-07T05:31:56Z",
"created_by": "<string>",
"permissions": [],
"is_selected": false,
"is_disabled": false
}{
"detail": [
{
"loc": [
"<string>"
],
"msg": "<string>",
"type": "<string>",
"input": "<unknown>",
"ctx": {}
}
]
}integrations
Create or update AWS SageMaker integration
Create or update an AWS integration for this user from Galileo.
PUT
/
v2
/
integrations
/
aws_sagemaker
Create or update AWS SageMaker integration
curl --request PUT \
--url https://api.galileo.ai/v2/integrations/aws_sagemaker \
--header 'Content-Type: application/json' \
--header 'Galileo-API-Key: <api-key>' \
--data '
{
"token": {},
"multi_modal_config": {
"max_files": 2,
"max_file_size_bytes": 2
},
"models": [
{
"name": "<string>",
"alias": "<string>",
"integration": "openai",
"user_role": "<string>",
"assistant_role": "<string>",
"system_supported": false,
"input_modalities": [],
"alternative_names": [
"<string>"
],
"input_token_limit": 123,
"output_token_limit": 123,
"token_limit": 123,
"cost_by": "tokens",
"is_chat": false,
"provides_log_probs": false,
"formatting_tokens": 0,
"response_prefix_tokens": 0,
"api_version": "<string>",
"legacy_mistral_prompt_format": false,
"requires_max_tokens": false,
"max_top_p": 123,
"params_map": {
"model": "<string>",
"temperature": "<string>",
"max_tokens": "<string>",
"stop_sequences": "<string>",
"top_p": "<string>",
"top_k": "<string>",
"frequency_penalty": "<string>",
"presence_penalty": "<string>",
"echo": "<string>",
"logprobs": "<string>",
"top_logprobs": "<string>",
"n": "<string>",
"api_version": "<string>",
"tools": "<string>",
"tool_choice": "<string>",
"response_format": "<string>",
"reasoning_effort": "<string>",
"verbosity": "<string>",
"deployment_name": "<string>"
},
"output_map": {
"response": "<string>",
"token_count": "<string>",
"input_token_count": "<string>",
"output_token_count": "<string>",
"completion_reason": "<string>"
},
"input_map": {
"prompt": "<string>",
"prefix": "",
"suffix": ""
}
}
],
"credential_type": "key_secret",
"region": "us-west-2",
"inference_profiles": {}
}
'import requests
url = "https://api.galileo.ai/v2/integrations/aws_sagemaker"
payload = {
"token": {},
"multi_modal_config": {
"max_files": 2,
"max_file_size_bytes": 2
},
"models": [
{
"name": "<string>",
"alias": "<string>",
"integration": "openai",
"user_role": "<string>",
"assistant_role": "<string>",
"system_supported": False,
"input_modalities": [],
"alternative_names": ["<string>"],
"input_token_limit": 123,
"output_token_limit": 123,
"token_limit": 123,
"cost_by": "tokens",
"is_chat": False,
"provides_log_probs": False,
"formatting_tokens": 0,
"response_prefix_tokens": 0,
"api_version": "<string>",
"legacy_mistral_prompt_format": False,
"requires_max_tokens": False,
"max_top_p": 123,
"params_map": {
"model": "<string>",
"temperature": "<string>",
"max_tokens": "<string>",
"stop_sequences": "<string>",
"top_p": "<string>",
"top_k": "<string>",
"frequency_penalty": "<string>",
"presence_penalty": "<string>",
"echo": "<string>",
"logprobs": "<string>",
"top_logprobs": "<string>",
"n": "<string>",
"api_version": "<string>",
"tools": "<string>",
"tool_choice": "<string>",
"response_format": "<string>",
"reasoning_effort": "<string>",
"verbosity": "<string>",
"deployment_name": "<string>"
},
"output_map": {
"response": "<string>",
"token_count": "<string>",
"input_token_count": "<string>",
"output_token_count": "<string>",
"completion_reason": "<string>"
},
"input_map": {
"prompt": "<string>",
"prefix": "",
"suffix": ""
}
}
],
"credential_type": "key_secret",
"region": "us-west-2",
"inference_profiles": {}
}
headers = {
"Galileo-API-Key": "<api-key>",
"Content-Type": "application/json"
}
response = requests.put(url, json=payload, headers=headers)
print(response.text)const options = {
method: 'PUT',
headers: {'Galileo-API-Key': '<api-key>', 'Content-Type': 'application/json'},
body: JSON.stringify({
token: {},
multi_modal_config: {max_files: 2, max_file_size_bytes: 2},
models: [
{
name: '<string>',
alias: '<string>',
integration: 'openai',
user_role: '<string>',
assistant_role: '<string>',
system_supported: false,
input_modalities: [],
alternative_names: ['<string>'],
input_token_limit: 123,
output_token_limit: 123,
token_limit: 123,
cost_by: 'tokens',
is_chat: false,
provides_log_probs: false,
formatting_tokens: 0,
response_prefix_tokens: 0,
api_version: '<string>',
legacy_mistral_prompt_format: false,
requires_max_tokens: false,
max_top_p: 123,
params_map: {
model: '<string>',
temperature: '<string>',
max_tokens: '<string>',
stop_sequences: '<string>',
top_p: '<string>',
top_k: '<string>',
frequency_penalty: '<string>',
presence_penalty: '<string>',
echo: '<string>',
logprobs: '<string>',
top_logprobs: '<string>',
n: '<string>',
api_version: '<string>',
tools: '<string>',
tool_choice: '<string>',
response_format: '<string>',
reasoning_effort: '<string>',
verbosity: '<string>',
deployment_name: '<string>'
},
output_map: {
response: '<string>',
token_count: '<string>',
input_token_count: '<string>',
output_token_count: '<string>',
completion_reason: '<string>'
},
input_map: {prompt: '<string>', prefix: '', suffix: ''}
}
],
credential_type: 'key_secret',
region: 'us-west-2',
inference_profiles: {}
})
};
fetch('https://api.galileo.ai/v2/integrations/aws_sagemaker', options)
.then(res => res.json())
.then(res => console.log(res))
.catch(err => console.error(err));<?php
$curl = curl_init();
curl_setopt_array($curl, [
CURLOPT_URL => "https://api.galileo.ai/v2/integrations/aws_sagemaker",
CURLOPT_RETURNTRANSFER => true,
CURLOPT_ENCODING => "",
CURLOPT_MAXREDIRS => 10,
CURLOPT_TIMEOUT => 30,
CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
CURLOPT_CUSTOMREQUEST => "PUT",
CURLOPT_POSTFIELDS => json_encode([
'token' => [
],
'multi_modal_config' => [
'max_files' => 2,
'max_file_size_bytes' => 2
],
'models' => [
[
'name' => '<string>',
'alias' => '<string>',
'integration' => 'openai',
'user_role' => '<string>',
'assistant_role' => '<string>',
'system_supported' => false,
'input_modalities' => [
],
'alternative_names' => [
'<string>'
],
'input_token_limit' => 123,
'output_token_limit' => 123,
'token_limit' => 123,
'cost_by' => 'tokens',
'is_chat' => false,
'provides_log_probs' => false,
'formatting_tokens' => 0,
'response_prefix_tokens' => 0,
'api_version' => '<string>',
'legacy_mistral_prompt_format' => false,
'requires_max_tokens' => false,
'max_top_p' => 123,
'params_map' => [
'model' => '<string>',
'temperature' => '<string>',
'max_tokens' => '<string>',
'stop_sequences' => '<string>',
'top_p' => '<string>',
'top_k' => '<string>',
'frequency_penalty' => '<string>',
'presence_penalty' => '<string>',
'echo' => '<string>',
'logprobs' => '<string>',
'top_logprobs' => '<string>',
'n' => '<string>',
'api_version' => '<string>',
'tools' => '<string>',
'tool_choice' => '<string>',
'response_format' => '<string>',
'reasoning_effort' => '<string>',
'verbosity' => '<string>',
'deployment_name' => '<string>'
],
'output_map' => [
'response' => '<string>',
'token_count' => '<string>',
'input_token_count' => '<string>',
'output_token_count' => '<string>',
'completion_reason' => '<string>'
],
'input_map' => [
'prompt' => '<string>',
'prefix' => '',
'suffix' => ''
]
]
],
'credential_type' => 'key_secret',
'region' => 'us-west-2',
'inference_profiles' => [
]
]),
CURLOPT_HTTPHEADER => [
"Content-Type: application/json",
"Galileo-API-Key: <api-key>"
],
]);
$response = curl_exec($curl);
$err = curl_error($curl);
curl_close($curl);
if ($err) {
echo "cURL Error #:" . $err;
} else {
echo $response;
}package main
import (
"fmt"
"strings"
"net/http"
"io"
)
func main() {
url := "https://api.galileo.ai/v2/integrations/aws_sagemaker"
payload := strings.NewReader("{\n \"token\": {},\n \"multi_modal_config\": {\n \"max_files\": 2,\n \"max_file_size_bytes\": 2\n },\n \"models\": [\n {\n \"name\": \"<string>\",\n \"alias\": \"<string>\",\n \"integration\": \"openai\",\n \"user_role\": \"<string>\",\n \"assistant_role\": \"<string>\",\n \"system_supported\": false,\n \"input_modalities\": [],\n \"alternative_names\": [\n \"<string>\"\n ],\n \"input_token_limit\": 123,\n \"output_token_limit\": 123,\n \"token_limit\": 123,\n \"cost_by\": \"tokens\",\n \"is_chat\": false,\n \"provides_log_probs\": false,\n \"formatting_tokens\": 0,\n \"response_prefix_tokens\": 0,\n \"api_version\": \"<string>\",\n \"legacy_mistral_prompt_format\": false,\n \"requires_max_tokens\": false,\n \"max_top_p\": 123,\n \"params_map\": {\n \"model\": \"<string>\",\n \"temperature\": \"<string>\",\n \"max_tokens\": \"<string>\",\n \"stop_sequences\": \"<string>\",\n \"top_p\": \"<string>\",\n \"top_k\": \"<string>\",\n \"frequency_penalty\": \"<string>\",\n \"presence_penalty\": \"<string>\",\n \"echo\": \"<string>\",\n \"logprobs\": \"<string>\",\n \"top_logprobs\": \"<string>\",\n \"n\": \"<string>\",\n \"api_version\": \"<string>\",\n \"tools\": \"<string>\",\n \"tool_choice\": \"<string>\",\n \"response_format\": \"<string>\",\n \"reasoning_effort\": \"<string>\",\n \"verbosity\": \"<string>\",\n \"deployment_name\": \"<string>\"\n },\n \"output_map\": {\n \"response\": \"<string>\",\n \"token_count\": \"<string>\",\n \"input_token_count\": \"<string>\",\n \"output_token_count\": \"<string>\",\n \"completion_reason\": \"<string>\"\n },\n \"input_map\": {\n \"prompt\": \"<string>\",\n \"prefix\": \"\",\n \"suffix\": \"\"\n }\n }\n ],\n \"credential_type\": \"key_secret\",\n \"region\": \"us-west-2\",\n \"inference_profiles\": {}\n}")
req, _ := http.NewRequest("PUT", url, payload)
req.Header.Add("Galileo-API-Key", "<api-key>")
req.Header.Add("Content-Type", "application/json")
res, _ := http.DefaultClient.Do(req)
defer res.Body.Close()
body, _ := io.ReadAll(res.Body)
fmt.Println(string(body))
}HttpResponse<String> response = Unirest.put("https://api.galileo.ai/v2/integrations/aws_sagemaker")
.header("Galileo-API-Key", "<api-key>")
.header("Content-Type", "application/json")
.body("{\n \"token\": {},\n \"multi_modal_config\": {\n \"max_files\": 2,\n \"max_file_size_bytes\": 2\n },\n \"models\": [\n {\n \"name\": \"<string>\",\n \"alias\": \"<string>\",\n \"integration\": \"openai\",\n \"user_role\": \"<string>\",\n \"assistant_role\": \"<string>\",\n \"system_supported\": false,\n \"input_modalities\": [],\n \"alternative_names\": [\n \"<string>\"\n ],\n \"input_token_limit\": 123,\n \"output_token_limit\": 123,\n \"token_limit\": 123,\n \"cost_by\": \"tokens\",\n \"is_chat\": false,\n \"provides_log_probs\": false,\n \"formatting_tokens\": 0,\n \"response_prefix_tokens\": 0,\n \"api_version\": \"<string>\",\n \"legacy_mistral_prompt_format\": false,\n \"requires_max_tokens\": false,\n \"max_top_p\": 123,\n \"params_map\": {\n \"model\": \"<string>\",\n \"temperature\": \"<string>\",\n \"max_tokens\": \"<string>\",\n \"stop_sequences\": \"<string>\",\n \"top_p\": \"<string>\",\n \"top_k\": \"<string>\",\n \"frequency_penalty\": \"<string>\",\n \"presence_penalty\": \"<string>\",\n \"echo\": \"<string>\",\n \"logprobs\": \"<string>\",\n \"top_logprobs\": \"<string>\",\n \"n\": \"<string>\",\n \"api_version\": \"<string>\",\n \"tools\": \"<string>\",\n \"tool_choice\": \"<string>\",\n \"response_format\": \"<string>\",\n \"reasoning_effort\": \"<string>\",\n \"verbosity\": \"<string>\",\n \"deployment_name\": \"<string>\"\n },\n \"output_map\": {\n \"response\": \"<string>\",\n \"token_count\": \"<string>\",\n \"input_token_count\": \"<string>\",\n \"output_token_count\": \"<string>\",\n \"completion_reason\": \"<string>\"\n },\n \"input_map\": {\n \"prompt\": \"<string>\",\n \"prefix\": \"\",\n \"suffix\": \"\"\n }\n }\n ],\n \"credential_type\": \"key_secret\",\n \"region\": \"us-west-2\",\n \"inference_profiles\": {}\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.galileo.ai/v2/integrations/aws_sagemaker")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Put.new(url)
request["Galileo-API-Key"] = '<api-key>'
request["Content-Type"] = 'application/json'
request.body = "{\n \"token\": {},\n \"multi_modal_config\": {\n \"max_files\": 2,\n \"max_file_size_bytes\": 2\n },\n \"models\": [\n {\n \"name\": \"<string>\",\n \"alias\": \"<string>\",\n \"integration\": \"openai\",\n \"user_role\": \"<string>\",\n \"assistant_role\": \"<string>\",\n \"system_supported\": false,\n \"input_modalities\": [],\n \"alternative_names\": [\n \"<string>\"\n ],\n \"input_token_limit\": 123,\n \"output_token_limit\": 123,\n \"token_limit\": 123,\n \"cost_by\": \"tokens\",\n \"is_chat\": false,\n \"provides_log_probs\": false,\n \"formatting_tokens\": 0,\n \"response_prefix_tokens\": 0,\n \"api_version\": \"<string>\",\n \"legacy_mistral_prompt_format\": false,\n \"requires_max_tokens\": false,\n \"max_top_p\": 123,\n \"params_map\": {\n \"model\": \"<string>\",\n \"temperature\": \"<string>\",\n \"max_tokens\": \"<string>\",\n \"stop_sequences\": \"<string>\",\n \"top_p\": \"<string>\",\n \"top_k\": \"<string>\",\n \"frequency_penalty\": \"<string>\",\n \"presence_penalty\": \"<string>\",\n \"echo\": \"<string>\",\n \"logprobs\": \"<string>\",\n \"top_logprobs\": \"<string>\",\n \"n\": \"<string>\",\n \"api_version\": \"<string>\",\n \"tools\": \"<string>\",\n \"tool_choice\": \"<string>\",\n \"response_format\": \"<string>\",\n \"reasoning_effort\": \"<string>\",\n \"verbosity\": \"<string>\",\n \"deployment_name\": \"<string>\"\n },\n \"output_map\": {\n \"response\": \"<string>\",\n \"token_count\": \"<string>\",\n \"input_token_count\": \"<string>\",\n \"output_token_count\": \"<string>\",\n \"completion_reason\": \"<string>\"\n },\n \"input_map\": {\n \"prompt\": \"<string>\",\n \"prefix\": \"\",\n \"suffix\": \"\"\n }\n }\n ],\n \"credential_type\": \"key_secret\",\n \"region\": \"us-west-2\",\n \"inference_profiles\": {}\n}"
response = http.request(request)
puts response.read_body{
"id": "<string>",
"name": "<string>",
"created_at": "2023-11-07T05:31:56Z",
"updated_at": "2023-11-07T05:31:56Z",
"created_by": "<string>",
"permissions": [],
"is_selected": false,
"is_disabled": false
}{
"detail": [
{
"loc": [
"<string>"
],
"msg": "<string>",
"type": "<string>",
"input": "<unknown>",
"ctx": {}
}
]
}Authorizations
ClassicAPIKeyHeaderAPIKeyHeaderOAuth2PasswordBearerHTTPBasic
Body
application/json
Show child attributes
Show child attributes
Configuration for multi-modal (file upload) capabilities.
Show child attributes
Show child attributes
Show child attributes
Show child attributes
Available options:
assumed_role, key_secret Mapping from model name (Foundation model ID) to inference profile ARN or ID
Show child attributes
Show child attributes
Response
Successful Response
Available options:
anthropic, aws_bedrock, aws_sagemaker, azure, custom, databricks, mistral, nvidia, openai, vegas_gateway, vertex_ai, writer Show child attributes
Show child attributes
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