Save Realtime Session
curl --request POST \
--url https://api.gbase.ai/v1/robots/{ai_id}/realtime-session/save \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '
{
"session_id": "<string>",
"messages": [
{
"content": "<string>",
"timestamp": "<string>",
"tool_calls": [
{}
]
}
],
"metadata": {},
"usage": {
"turn_count": 0,
"total_tokens": 0,
"input_tokens": 0,
"output_tokens": 0,
"input_token_details": {
"text_tokens": 0,
"audio_tokens": 0,
"cached_tokens": 0
},
"cached_tokens_details": {
"text_tokens": 0,
"audio_tokens": 0,
"cached_tokens": 0
},
"output_token_details": {
"text_tokens": 0,
"audio_tokens": 0,
"cached_tokens": 0
},
"turns": []
},
"tool_usage": {
"call_count": 0,
"total_prompt_tokens": 0,
"total_completion_tokens": 0,
"total_tokens": 0,
"calls": []
},
"logs": [
{
"timestamp": "",
"level": "log",
"category": "",
"message": "",
"data": "<unknown>"
}
]
}
'import requests
url = "https://api.gbase.ai/v1/robots/{ai_id}/realtime-session/save"
payload = {
"session_id": "<string>",
"messages": [
{
"content": "<string>",
"timestamp": "<string>",
"tool_calls": [{}]
}
],
"metadata": {},
"usage": {
"turn_count": 0,
"total_tokens": 0,
"input_tokens": 0,
"output_tokens": 0,
"input_token_details": {
"text_tokens": 0,
"audio_tokens": 0,
"cached_tokens": 0
},
"cached_tokens_details": {
"text_tokens": 0,
"audio_tokens": 0,
"cached_tokens": 0
},
"output_token_details": {
"text_tokens": 0,
"audio_tokens": 0,
"cached_tokens": 0
},
"turns": []
},
"tool_usage": {
"call_count": 0,
"total_prompt_tokens": 0,
"total_completion_tokens": 0,
"total_tokens": 0,
"calls": []
},
"logs": [
{
"timestamp": "",
"level": "log",
"category": "",
"message": "",
"data": "<unknown>"
}
]
}
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({
session_id: '<string>',
messages: [{content: '<string>', timestamp: '<string>', tool_calls: [{}]}],
metadata: {},
usage: {
turn_count: 0,
total_tokens: 0,
input_tokens: 0,
output_tokens: 0,
input_token_details: {text_tokens: 0, audio_tokens: 0, cached_tokens: 0},
cached_tokens_details: {text_tokens: 0, audio_tokens: 0, cached_tokens: 0},
output_token_details: {text_tokens: 0, audio_tokens: 0, cached_tokens: 0},
turns: []
},
tool_usage: {
call_count: 0,
total_prompt_tokens: 0,
total_completion_tokens: 0,
total_tokens: 0,
calls: []
},
logs: [{timestamp: '', level: 'log', category: '', message: '', data: '<unknown>'}]
})
};
fetch('https://api.gbase.ai/v1/robots/{ai_id}/realtime-session/save', 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.gbase.ai/v1/robots/{ai_id}/realtime-session/save",
CURLOPT_RETURNTRANSFER => true,
CURLOPT_ENCODING => "",
CURLOPT_MAXREDIRS => 10,
CURLOPT_TIMEOUT => 30,
CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
CURLOPT_CUSTOMREQUEST => "POST",
CURLOPT_POSTFIELDS => json_encode([
'session_id' => '<string>',
'messages' => [
[
'content' => '<string>',
'timestamp' => '<string>',
'tool_calls' => [
[
]
]
]
],
'metadata' => [
],
'usage' => [
'turn_count' => 0,
'total_tokens' => 0,
'input_tokens' => 0,
'output_tokens' => 0,
'input_token_details' => [
'text_tokens' => 0,
'audio_tokens' => 0,
'cached_tokens' => 0
],
'cached_tokens_details' => [
'text_tokens' => 0,
'audio_tokens' => 0,
'cached_tokens' => 0
],
'output_token_details' => [
'text_tokens' => 0,
'audio_tokens' => 0,
'cached_tokens' => 0
],
'turns' => [
]
],
'tool_usage' => [
'call_count' => 0,
'total_prompt_tokens' => 0,
'total_completion_tokens' => 0,
'total_tokens' => 0,
'calls' => [
]
],
'logs' => [
[
'timestamp' => '',
'level' => 'log',
'category' => '',
'message' => '',
'data' => '<unknown>'
]
]
]),
CURLOPT_HTTPHEADER => [
"Authorization: Bearer <token>",
"Content-Type: application/json"
],
]);
$response = curl_exec($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.gbase.ai/v1/robots/{ai_id}/realtime-session/save"
payload := strings.NewReader("{\n \"session_id\": \"<string>\",\n \"messages\": [\n {\n \"content\": \"<string>\",\n \"timestamp\": \"<string>\",\n \"tool_calls\": [\n {}\n ]\n }\n ],\n \"metadata\": {},\n \"usage\": {\n \"turn_count\": 0,\n \"total_tokens\": 0,\n \"input_tokens\": 0,\n \"output_tokens\": 0,\n \"input_token_details\": {\n \"text_tokens\": 0,\n \"audio_tokens\": 0,\n \"cached_tokens\": 0\n },\n \"cached_tokens_details\": {\n \"text_tokens\": 0,\n \"audio_tokens\": 0,\n \"cached_tokens\": 0\n },\n \"output_token_details\": {\n \"text_tokens\": 0,\n \"audio_tokens\": 0,\n \"cached_tokens\": 0\n },\n \"turns\": []\n },\n \"tool_usage\": {\n \"call_count\": 0,\n \"total_prompt_tokens\": 0,\n \"total_completion_tokens\": 0,\n \"total_tokens\": 0,\n \"calls\": []\n },\n \"logs\": [\n {\n \"timestamp\": \"\",\n \"level\": \"log\",\n \"category\": \"\",\n \"message\": \"\",\n \"data\": \"<unknown>\"\n }\n ]\n}")
req, _ := http.NewRequest("POST", url, payload)
req.Header.Add("Authorization", "Bearer <token>")
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.post("https://api.gbase.ai/v1/robots/{ai_id}/realtime-session/save")
.header("Authorization", "Bearer <token>")
.header("Content-Type", "application/json")
.body("{\n \"session_id\": \"<string>\",\n \"messages\": [\n {\n \"content\": \"<string>\",\n \"timestamp\": \"<string>\",\n \"tool_calls\": [\n {}\n ]\n }\n ],\n \"metadata\": {},\n \"usage\": {\n \"turn_count\": 0,\n \"total_tokens\": 0,\n \"input_tokens\": 0,\n \"output_tokens\": 0,\n \"input_token_details\": {\n \"text_tokens\": 0,\n \"audio_tokens\": 0,\n \"cached_tokens\": 0\n },\n \"cached_tokens_details\": {\n \"text_tokens\": 0,\n \"audio_tokens\": 0,\n \"cached_tokens\": 0\n },\n \"output_token_details\": {\n \"text_tokens\": 0,\n \"audio_tokens\": 0,\n \"cached_tokens\": 0\n },\n \"turns\": []\n },\n \"tool_usage\": {\n \"call_count\": 0,\n \"total_prompt_tokens\": 0,\n \"total_completion_tokens\": 0,\n \"total_tokens\": 0,\n \"calls\": []\n },\n \"logs\": [\n {\n \"timestamp\": \"\",\n \"level\": \"log\",\n \"category\": \"\",\n \"message\": \"\",\n \"data\": \"<unknown>\"\n }\n ]\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.gbase.ai/v1/robots/{ai_id}/realtime-session/save")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["Authorization"] = 'Bearer <token>'
request["Content-Type"] = 'application/json'
request.body = "{\n \"session_id\": \"<string>\",\n \"messages\": [\n {\n \"content\": \"<string>\",\n \"timestamp\": \"<string>\",\n \"tool_calls\": [\n {}\n ]\n }\n ],\n \"metadata\": {},\n \"usage\": {\n \"turn_count\": 0,\n \"total_tokens\": 0,\n \"input_tokens\": 0,\n \"output_tokens\": 0,\n \"input_token_details\": {\n \"text_tokens\": 0,\n \"audio_tokens\": 0,\n \"cached_tokens\": 0\n },\n \"cached_tokens_details\": {\n \"text_tokens\": 0,\n \"audio_tokens\": 0,\n \"cached_tokens\": 0\n },\n \"output_token_details\": {\n \"text_tokens\": 0,\n \"audio_tokens\": 0,\n \"cached_tokens\": 0\n },\n \"turns\": []\n },\n \"tool_usage\": {\n \"call_count\": 0,\n \"total_prompt_tokens\": 0,\n \"total_completion_tokens\": 0,\n \"total_tokens\": 0,\n \"calls\": []\n },\n \"logs\": [\n {\n \"timestamp\": \"\",\n \"level\": \"log\",\n \"category\": \"\",\n \"message\": \"\",\n \"data\": \"<unknown>\"\n }\n ]\n}"
response = http.request(request)
puts response.read_body{
"success": true,
"session_id": "<string>",
"messages_saved": 123,
"backend_session_id": "<string>"
}{
"detail": [
{
"loc": [
"<string>"
],
"msg": "<string>",
"type": "<string>"
}
]
}Question
Save Realtime Session
Batch save realtime voice session from live-stream WebSocket.
Authentication: MD5 hash of “master:” + botId
This endpoint accepts a batch of messages from a realtime voice conversation and saves them to the database with proper session and message tracking.
POST
/
v1
/
robots
/
{ai_id}
/
realtime-session
/
save
Save Realtime Session
curl --request POST \
--url https://api.gbase.ai/v1/robots/{ai_id}/realtime-session/save \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '
{
"session_id": "<string>",
"messages": [
{
"content": "<string>",
"timestamp": "<string>",
"tool_calls": [
{}
]
}
],
"metadata": {},
"usage": {
"turn_count": 0,
"total_tokens": 0,
"input_tokens": 0,
"output_tokens": 0,
"input_token_details": {
"text_tokens": 0,
"audio_tokens": 0,
"cached_tokens": 0
},
"cached_tokens_details": {
"text_tokens": 0,
"audio_tokens": 0,
"cached_tokens": 0
},
"output_token_details": {
"text_tokens": 0,
"audio_tokens": 0,
"cached_tokens": 0
},
"turns": []
},
"tool_usage": {
"call_count": 0,
"total_prompt_tokens": 0,
"total_completion_tokens": 0,
"total_tokens": 0,
"calls": []
},
"logs": [
{
"timestamp": "",
"level": "log",
"category": "",
"message": "",
"data": "<unknown>"
}
]
}
'import requests
url = "https://api.gbase.ai/v1/robots/{ai_id}/realtime-session/save"
payload = {
"session_id": "<string>",
"messages": [
{
"content": "<string>",
"timestamp": "<string>",
"tool_calls": [{}]
}
],
"metadata": {},
"usage": {
"turn_count": 0,
"total_tokens": 0,
"input_tokens": 0,
"output_tokens": 0,
"input_token_details": {
"text_tokens": 0,
"audio_tokens": 0,
"cached_tokens": 0
},
"cached_tokens_details": {
"text_tokens": 0,
"audio_tokens": 0,
"cached_tokens": 0
},
"output_token_details": {
"text_tokens": 0,
"audio_tokens": 0,
"cached_tokens": 0
},
"turns": []
},
"tool_usage": {
"call_count": 0,
"total_prompt_tokens": 0,
"total_completion_tokens": 0,
"total_tokens": 0,
"calls": []
},
"logs": [
{
"timestamp": "",
"level": "log",
"category": "",
"message": "",
"data": "<unknown>"
}
]
}
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({
session_id: '<string>',
messages: [{content: '<string>', timestamp: '<string>', tool_calls: [{}]}],
metadata: {},
usage: {
turn_count: 0,
total_tokens: 0,
input_tokens: 0,
output_tokens: 0,
input_token_details: {text_tokens: 0, audio_tokens: 0, cached_tokens: 0},
cached_tokens_details: {text_tokens: 0, audio_tokens: 0, cached_tokens: 0},
output_token_details: {text_tokens: 0, audio_tokens: 0, cached_tokens: 0},
turns: []
},
tool_usage: {
call_count: 0,
total_prompt_tokens: 0,
total_completion_tokens: 0,
total_tokens: 0,
calls: []
},
logs: [{timestamp: '', level: 'log', category: '', message: '', data: '<unknown>'}]
})
};
fetch('https://api.gbase.ai/v1/robots/{ai_id}/realtime-session/save', 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.gbase.ai/v1/robots/{ai_id}/realtime-session/save",
CURLOPT_RETURNTRANSFER => true,
CURLOPT_ENCODING => "",
CURLOPT_MAXREDIRS => 10,
CURLOPT_TIMEOUT => 30,
CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
CURLOPT_CUSTOMREQUEST => "POST",
CURLOPT_POSTFIELDS => json_encode([
'session_id' => '<string>',
'messages' => [
[
'content' => '<string>',
'timestamp' => '<string>',
'tool_calls' => [
[
]
]
]
],
'metadata' => [
],
'usage' => [
'turn_count' => 0,
'total_tokens' => 0,
'input_tokens' => 0,
'output_tokens' => 0,
'input_token_details' => [
'text_tokens' => 0,
'audio_tokens' => 0,
'cached_tokens' => 0
],
'cached_tokens_details' => [
'text_tokens' => 0,
'audio_tokens' => 0,
'cached_tokens' => 0
],
'output_token_details' => [
'text_tokens' => 0,
'audio_tokens' => 0,
'cached_tokens' => 0
],
'turns' => [
]
],
'tool_usage' => [
'call_count' => 0,
'total_prompt_tokens' => 0,
'total_completion_tokens' => 0,
'total_tokens' => 0,
'calls' => [
]
],
'logs' => [
[
'timestamp' => '',
'level' => 'log',
'category' => '',
'message' => '',
'data' => '<unknown>'
]
]
]),
CURLOPT_HTTPHEADER => [
"Authorization: Bearer <token>",
"Content-Type: application/json"
],
]);
$response = curl_exec($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.gbase.ai/v1/robots/{ai_id}/realtime-session/save"
payload := strings.NewReader("{\n \"session_id\": \"<string>\",\n \"messages\": [\n {\n \"content\": \"<string>\",\n \"timestamp\": \"<string>\",\n \"tool_calls\": [\n {}\n ]\n }\n ],\n \"metadata\": {},\n \"usage\": {\n \"turn_count\": 0,\n \"total_tokens\": 0,\n \"input_tokens\": 0,\n \"output_tokens\": 0,\n \"input_token_details\": {\n \"text_tokens\": 0,\n \"audio_tokens\": 0,\n \"cached_tokens\": 0\n },\n \"cached_tokens_details\": {\n \"text_tokens\": 0,\n \"audio_tokens\": 0,\n \"cached_tokens\": 0\n },\n \"output_token_details\": {\n \"text_tokens\": 0,\n \"audio_tokens\": 0,\n \"cached_tokens\": 0\n },\n \"turns\": []\n },\n \"tool_usage\": {\n \"call_count\": 0,\n \"total_prompt_tokens\": 0,\n \"total_completion_tokens\": 0,\n \"total_tokens\": 0,\n \"calls\": []\n },\n \"logs\": [\n {\n \"timestamp\": \"\",\n \"level\": \"log\",\n \"category\": \"\",\n \"message\": \"\",\n \"data\": \"<unknown>\"\n }\n ]\n}")
req, _ := http.NewRequest("POST", url, payload)
req.Header.Add("Authorization", "Bearer <token>")
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.post("https://api.gbase.ai/v1/robots/{ai_id}/realtime-session/save")
.header("Authorization", "Bearer <token>")
.header("Content-Type", "application/json")
.body("{\n \"session_id\": \"<string>\",\n \"messages\": [\n {\n \"content\": \"<string>\",\n \"timestamp\": \"<string>\",\n \"tool_calls\": [\n {}\n ]\n }\n ],\n \"metadata\": {},\n \"usage\": {\n \"turn_count\": 0,\n \"total_tokens\": 0,\n \"input_tokens\": 0,\n \"output_tokens\": 0,\n \"input_token_details\": {\n \"text_tokens\": 0,\n \"audio_tokens\": 0,\n \"cached_tokens\": 0\n },\n \"cached_tokens_details\": {\n \"text_tokens\": 0,\n \"audio_tokens\": 0,\n \"cached_tokens\": 0\n },\n \"output_token_details\": {\n \"text_tokens\": 0,\n \"audio_tokens\": 0,\n \"cached_tokens\": 0\n },\n \"turns\": []\n },\n \"tool_usage\": {\n \"call_count\": 0,\n \"total_prompt_tokens\": 0,\n \"total_completion_tokens\": 0,\n \"total_tokens\": 0,\n \"calls\": []\n },\n \"logs\": [\n {\n \"timestamp\": \"\",\n \"level\": \"log\",\n \"category\": \"\",\n \"message\": \"\",\n \"data\": \"<unknown>\"\n }\n ]\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.gbase.ai/v1/robots/{ai_id}/realtime-session/save")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["Authorization"] = 'Bearer <token>'
request["Content-Type"] = 'application/json'
request.body = "{\n \"session_id\": \"<string>\",\n \"messages\": [\n {\n \"content\": \"<string>\",\n \"timestamp\": \"<string>\",\n \"tool_calls\": [\n {}\n ]\n }\n ],\n \"metadata\": {},\n \"usage\": {\n \"turn_count\": 0,\n \"total_tokens\": 0,\n \"input_tokens\": 0,\n \"output_tokens\": 0,\n \"input_token_details\": {\n \"text_tokens\": 0,\n \"audio_tokens\": 0,\n \"cached_tokens\": 0\n },\n \"cached_tokens_details\": {\n \"text_tokens\": 0,\n \"audio_tokens\": 0,\n \"cached_tokens\": 0\n },\n \"output_token_details\": {\n \"text_tokens\": 0,\n \"audio_tokens\": 0,\n \"cached_tokens\": 0\n },\n \"turns\": []\n },\n \"tool_usage\": {\n \"call_count\": 0,\n \"total_prompt_tokens\": 0,\n \"total_completion_tokens\": 0,\n \"total_tokens\": 0,\n \"calls\": []\n },\n \"logs\": [\n {\n \"timestamp\": \"\",\n \"level\": \"log\",\n \"category\": \"\",\n \"message\": \"\",\n \"data\": \"<unknown>\"\n }\n ]\n}"
response = http.request(request)
puts response.read_body{
"success": true,
"session_id": "<string>",
"messages_saved": 123,
"backend_session_id": "<string>"
}{
"detail": [
{
"loc": [
"<string>"
],
"msg": "<string>",
"type": "<string>"
}
]
}Authorizations
Bearer authentication header of the form Bearer <token>, where <token> is your auth token.
Path Parameters
Body
application/json
Maximum string length:
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Realtime 会话级 tool LLM 用量聚合
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⌘I