Ask questions using LeMUR
curl --request POST \
--url https://api.assemblyai.com/lemur/v3/generate/question-answer \
--header 'Authorization: <api-key>' \
--header 'Content-Type: application/json' \
--data '
{
"transcript_ids": [
"64nygnr62k-405c-4ae8-8a6b-d90b40ff3cce"
],
"context": "This is an interview about wildfires.",
"final_model": "anthropic/claude-3-5-sonnet",
"temperature": 0,
"max_output_size": 3000,
"questions": [
{
"question": "Where are there wildfires?",
"answer_format": "List of countries in ISO 3166-1 alpha-2 format",
"answer_options": [
"US",
"CA"
]
},
{
"question": "Is global warming affecting wildfires?",
"answer_options": [
"yes",
"no"
]
}
]
}
'import requests
url = "https://api.assemblyai.com/lemur/v3/generate/question-answer"
payload = {
"transcript_ids": ["64nygnr62k-405c-4ae8-8a6b-d90b40ff3cce"],
"context": "This is an interview about wildfires.",
"final_model": "anthropic/claude-3-5-sonnet",
"temperature": 0,
"max_output_size": 3000,
"questions": [
{
"question": "Where are there wildfires?",
"answer_format": "List of countries in ISO 3166-1 alpha-2 format",
"answer_options": ["US", "CA"]
},
{
"question": "Is global warming affecting wildfires?",
"answer_options": ["yes", "no"]
}
]
}
headers = {
"Authorization": "<api-key>",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.text)const options = {
method: 'POST',
headers: {Authorization: '<api-key>', 'Content-Type': 'application/json'},
body: JSON.stringify({
transcript_ids: ['64nygnr62k-405c-4ae8-8a6b-d90b40ff3cce'],
context: 'This is an interview about wildfires.',
final_model: 'anthropic/claude-3-5-sonnet',
temperature: 0,
max_output_size: 3000,
questions: [
{
question: 'Where are there wildfires?',
answer_format: 'List of countries in ISO 3166-1 alpha-2 format',
answer_options: ['US', 'CA']
},
{
question: 'Is global warming affecting wildfires?',
answer_options: ['yes', 'no']
}
]
})
};
fetch('https://api.assemblyai.com/lemur/v3/generate/question-answer', 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.assemblyai.com/lemur/v3/generate/question-answer",
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([
'transcript_ids' => [
'64nygnr62k-405c-4ae8-8a6b-d90b40ff3cce'
],
'context' => 'This is an interview about wildfires.',
'final_model' => 'anthropic/claude-3-5-sonnet',
'temperature' => 0,
'max_output_size' => 3000,
'questions' => [
[
'question' => 'Where are there wildfires?',
'answer_format' => 'List of countries in ISO 3166-1 alpha-2 format',
'answer_options' => [
'US',
'CA'
]
],
[
'question' => 'Is global warming affecting wildfires?',
'answer_options' => [
'yes',
'no'
]
]
]
]),
CURLOPT_HTTPHEADER => [
"Authorization: <api-key>",
"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.assemblyai.com/lemur/v3/generate/question-answer"
payload := strings.NewReader("{\n \"transcript_ids\": [\n \"64nygnr62k-405c-4ae8-8a6b-d90b40ff3cce\"\n ],\n \"context\": \"This is an interview about wildfires.\",\n \"final_model\": \"anthropic/claude-3-5-sonnet\",\n \"temperature\": 0,\n \"max_output_size\": 3000,\n \"questions\": [\n {\n \"question\": \"Where are there wildfires?\",\n \"answer_format\": \"List of countries in ISO 3166-1 alpha-2 format\",\n \"answer_options\": [\n \"US\",\n \"CA\"\n ]\n },\n {\n \"question\": \"Is global warming affecting wildfires?\",\n \"answer_options\": [\n \"yes\",\n \"no\"\n ]\n }\n ]\n}")
req, _ := http.NewRequest("POST", url, payload)
req.Header.Add("Authorization", "<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.post("https://api.assemblyai.com/lemur/v3/generate/question-answer")
.header("Authorization", "<api-key>")
.header("Content-Type", "application/json")
.body("{\n \"transcript_ids\": [\n \"64nygnr62k-405c-4ae8-8a6b-d90b40ff3cce\"\n ],\n \"context\": \"This is an interview about wildfires.\",\n \"final_model\": \"anthropic/claude-3-5-sonnet\",\n \"temperature\": 0,\n \"max_output_size\": 3000,\n \"questions\": [\n {\n \"question\": \"Where are there wildfires?\",\n \"answer_format\": \"List of countries in ISO 3166-1 alpha-2 format\",\n \"answer_options\": [\n \"US\",\n \"CA\"\n ]\n },\n {\n \"question\": \"Is global warming affecting wildfires?\",\n \"answer_options\": [\n \"yes\",\n \"no\"\n ]\n }\n ]\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.assemblyai.com/lemur/v3/generate/question-answer")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["Authorization"] = '<api-key>'
request["Content-Type"] = 'application/json'
request.body = "{\n \"transcript_ids\": [\n \"64nygnr62k-405c-4ae8-8a6b-d90b40ff3cce\"\n ],\n \"context\": \"This is an interview about wildfires.\",\n \"final_model\": \"anthropic/claude-3-5-sonnet\",\n \"temperature\": 0,\n \"max_output_size\": 3000,\n \"questions\": [\n {\n \"question\": \"Where are there wildfires?\",\n \"answer_format\": \"List of countries in ISO 3166-1 alpha-2 format\",\n \"answer_options\": [\n \"US\",\n \"CA\"\n ]\n },\n {\n \"question\": \"Is global warming affecting wildfires?\",\n \"answer_options\": [\n \"yes\",\n \"no\"\n ]\n }\n ]\n}"
response = http.request(request)
puts response.read_body{
"request_id": "5e1b27c2-691f-4414-8bc5-f14678442f9e",
"usage": {
"input_tokens": 27,
"output_tokens": 3
},
"response": [
{
"answer": "CA, US",
"question": "Where are there wildfires?"
},
{
"answer": "yes",
"question": "Is global warming affecting wildfires?"
}
]
}{
"error": "This is a sample error message"
}{
"error": "Authentication error, API token missing/invalid"
}{
"error": "Not found"
}{
"error": "Too Many Requests"
}{
"error": "Internal Server Error"
}LeMUR
Ask questions using LeMUR
Question & Answer allows you to ask free-form questions about a single transcript or a group of transcripts. The questions can be any whose answers you find useful, such as judging whether a caller is likely to become a customer or whether all items on a meeting’s agenda were covered.
POST
/
lemur
/
v3
/
generate
/
question-answer
Ask questions using LeMUR
curl --request POST \
--url https://api.assemblyai.com/lemur/v3/generate/question-answer \
--header 'Authorization: <api-key>' \
--header 'Content-Type: application/json' \
--data '
{
"transcript_ids": [
"64nygnr62k-405c-4ae8-8a6b-d90b40ff3cce"
],
"context": "This is an interview about wildfires.",
"final_model": "anthropic/claude-3-5-sonnet",
"temperature": 0,
"max_output_size": 3000,
"questions": [
{
"question": "Where are there wildfires?",
"answer_format": "List of countries in ISO 3166-1 alpha-2 format",
"answer_options": [
"US",
"CA"
]
},
{
"question": "Is global warming affecting wildfires?",
"answer_options": [
"yes",
"no"
]
}
]
}
'import requests
url = "https://api.assemblyai.com/lemur/v3/generate/question-answer"
payload = {
"transcript_ids": ["64nygnr62k-405c-4ae8-8a6b-d90b40ff3cce"],
"context": "This is an interview about wildfires.",
"final_model": "anthropic/claude-3-5-sonnet",
"temperature": 0,
"max_output_size": 3000,
"questions": [
{
"question": "Where are there wildfires?",
"answer_format": "List of countries in ISO 3166-1 alpha-2 format",
"answer_options": ["US", "CA"]
},
{
"question": "Is global warming affecting wildfires?",
"answer_options": ["yes", "no"]
}
]
}
headers = {
"Authorization": "<api-key>",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.text)const options = {
method: 'POST',
headers: {Authorization: '<api-key>', 'Content-Type': 'application/json'},
body: JSON.stringify({
transcript_ids: ['64nygnr62k-405c-4ae8-8a6b-d90b40ff3cce'],
context: 'This is an interview about wildfires.',
final_model: 'anthropic/claude-3-5-sonnet',
temperature: 0,
max_output_size: 3000,
questions: [
{
question: 'Where are there wildfires?',
answer_format: 'List of countries in ISO 3166-1 alpha-2 format',
answer_options: ['US', 'CA']
},
{
question: 'Is global warming affecting wildfires?',
answer_options: ['yes', 'no']
}
]
})
};
fetch('https://api.assemblyai.com/lemur/v3/generate/question-answer', 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.assemblyai.com/lemur/v3/generate/question-answer",
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([
'transcript_ids' => [
'64nygnr62k-405c-4ae8-8a6b-d90b40ff3cce'
],
'context' => 'This is an interview about wildfires.',
'final_model' => 'anthropic/claude-3-5-sonnet',
'temperature' => 0,
'max_output_size' => 3000,
'questions' => [
[
'question' => 'Where are there wildfires?',
'answer_format' => 'List of countries in ISO 3166-1 alpha-2 format',
'answer_options' => [
'US',
'CA'
]
],
[
'question' => 'Is global warming affecting wildfires?',
'answer_options' => [
'yes',
'no'
]
]
]
]),
CURLOPT_HTTPHEADER => [
"Authorization: <api-key>",
"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.assemblyai.com/lemur/v3/generate/question-answer"
payload := strings.NewReader("{\n \"transcript_ids\": [\n \"64nygnr62k-405c-4ae8-8a6b-d90b40ff3cce\"\n ],\n \"context\": \"This is an interview about wildfires.\",\n \"final_model\": \"anthropic/claude-3-5-sonnet\",\n \"temperature\": 0,\n \"max_output_size\": 3000,\n \"questions\": [\n {\n \"question\": \"Where are there wildfires?\",\n \"answer_format\": \"List of countries in ISO 3166-1 alpha-2 format\",\n \"answer_options\": [\n \"US\",\n \"CA\"\n ]\n },\n {\n \"question\": \"Is global warming affecting wildfires?\",\n \"answer_options\": [\n \"yes\",\n \"no\"\n ]\n }\n ]\n}")
req, _ := http.NewRequest("POST", url, payload)
req.Header.Add("Authorization", "<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.post("https://api.assemblyai.com/lemur/v3/generate/question-answer")
.header("Authorization", "<api-key>")
.header("Content-Type", "application/json")
.body("{\n \"transcript_ids\": [\n \"64nygnr62k-405c-4ae8-8a6b-d90b40ff3cce\"\n ],\n \"context\": \"This is an interview about wildfires.\",\n \"final_model\": \"anthropic/claude-3-5-sonnet\",\n \"temperature\": 0,\n \"max_output_size\": 3000,\n \"questions\": [\n {\n \"question\": \"Where are there wildfires?\",\n \"answer_format\": \"List of countries in ISO 3166-1 alpha-2 format\",\n \"answer_options\": [\n \"US\",\n \"CA\"\n ]\n },\n {\n \"question\": \"Is global warming affecting wildfires?\",\n \"answer_options\": [\n \"yes\",\n \"no\"\n ]\n }\n ]\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.assemblyai.com/lemur/v3/generate/question-answer")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["Authorization"] = '<api-key>'
request["Content-Type"] = 'application/json'
request.body = "{\n \"transcript_ids\": [\n \"64nygnr62k-405c-4ae8-8a6b-d90b40ff3cce\"\n ],\n \"context\": \"This is an interview about wildfires.\",\n \"final_model\": \"anthropic/claude-3-5-sonnet\",\n \"temperature\": 0,\n \"max_output_size\": 3000,\n \"questions\": [\n {\n \"question\": \"Where are there wildfires?\",\n \"answer_format\": \"List of countries in ISO 3166-1 alpha-2 format\",\n \"answer_options\": [\n \"US\",\n \"CA\"\n ]\n },\n {\n \"question\": \"Is global warming affecting wildfires?\",\n \"answer_options\": [\n \"yes\",\n \"no\"\n ]\n }\n ]\n}"
response = http.request(request)
puts response.read_body{
"request_id": "5e1b27c2-691f-4414-8bc5-f14678442f9e",
"usage": {
"input_tokens": 27,
"output_tokens": 3
},
"response": [
{
"answer": "CA, US",
"question": "Where are there wildfires?"
},
{
"answer": "yes",
"question": "Is global warming affecting wildfires?"
}
]
}{
"error": "This is a sample error message"
}{
"error": "Authentication error, API token missing/invalid"
}{
"error": "Not found"
}{
"error": "Too Many Requests"
}{
"error": "Internal Server Error"
}Authorizations
Body
application/json
Params to ask questions about the transcripts
A list of questions to ask
Show child attributes
Show child attributes
A list of completed transcripts with text. Up to a maximum of 100 files or 100 hours, whichever is lower. Use either transcript_ids or input_text as input into LeMUR.
Custom formatted transcript data. Maximum size is the context limit of the selected model, which defaults to 100000. Use either transcript_ids or input_text as input into LeMUR.
Context to provide the model. This can be a string or a free-form JSON value.
The model that is used for the final prompt after compression is performed.
Available options:
anthropic/claude-3-5-sonnet, anthropic/claude-3-opus, anthropic/claude-3-haiku, anthropic/claude-3-sonnet, anthropic/claude-2-1, anthropic/claude-2, default, anthropic/claude-instant-1-2, basic, assemblyai/mistral-7b Max output size in tokens, up to 4000
The temperature to use for the model. Higher values result in answers that are more creative, lower values are more conservative. Can be any value between 0.0 and 1.0 inclusive.
Required range:
0 <= x <= 1⌘I