Converse (Bedrock wire format)
curl --request POST \
--url https://api.aireserve.com/model/{modelId}/converse \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '
{
"messages": [
{
"role": "user",
"content": [
{
"text": "Say hello in five words."
}
]
}
],
"inferenceConfig": {
"maxTokens": 64,
"temperature": 0.5
}
}
'import requests
url = "https://api.aireserve.com/model/{modelId}/converse"
payload = {
"messages": [
{
"role": "user",
"content": [{ "text": "Say hello in five words." }]
}
],
"inferenceConfig": {
"maxTokens": 64,
"temperature": 0.5
}
}
headers = {
"Authorization": "Bearer <token>",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.text)const options = {
method: 'POST',
headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
body: JSON.stringify({
messages: [{role: 'user', content: [{text: 'Say hello in five words.'}]}],
inferenceConfig: {maxTokens: 64, temperature: 0.5}
})
};
fetch('https://api.aireserve.com/model/{modelId}/converse', options)
.then(res => res.json())
.then(res => console.log(res))
.catch(err => console.error(err));Bedrock
Converse (Bedrock wire format)
Bedrock Converse wire format for unmodified boto3 / AWS SDK clients. Accepts AI Reserve model IDs and supported AWS model ids / inference-profile ARNs.
POST
/
model
/
{modelId}
/
converse
Converse (Bedrock wire format)
curl --request POST \
--url https://api.aireserve.com/model/{modelId}/converse \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '
{
"messages": [
{
"role": "user",
"content": [
{
"text": "Say hello in five words."
}
]
}
],
"inferenceConfig": {
"maxTokens": 64,
"temperature": 0.5
}
}
'import requests
url = "https://api.aireserve.com/model/{modelId}/converse"
payload = {
"messages": [
{
"role": "user",
"content": [{ "text": "Say hello in five words." }]
}
],
"inferenceConfig": {
"maxTokens": 64,
"temperature": 0.5
}
}
headers = {
"Authorization": "Bearer <token>",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.text)const options = {
method: 'POST',
headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
body: JSON.stringify({
messages: [{role: 'user', content: [{text: 'Say hello in five words.'}]}],
inferenceConfig: {maxTokens: 64, temperature: 0.5}
})
};
fetch('https://api.aireserve.com/model/{modelId}/converse', options)
.then(res => res.json())
.then(res => console.log(res))
.catch(err => console.error(err));Authorizations
Your AI Reserve API key (aireserve_api_…) from the API Keys page in the portal (https://portal.aireserve.com/keys).
Path Parameters
AI Reserve model ID (e.g. claude-sonnet-4-6-bedrock) or a supported AWS Bedrock model id / inference-profile ARN.
Body
application/json
The body is of type object.
Response
200
Default Response