Example request:

curl --request GET \
    --get "http://diabolocom-ai.local/api/informations" \
    --header "Content-Type: application/json" \
    --header "Accept: application/json"

const url = new URL(
    "http://diabolocom-ai.local/api/informations"
);

const headers = {
    "Content-Type": "application/json",
    "Accept": "application/json",
};

fetch(url, {
    method: "GET",
    headers,
}).then(response => response.json());

Example response (200):

{
    "data": {
        "name": "Dolor nemo quia vel in. Sunt labore debitis velit. Amet et vero nulla repudiandae perspiciatis.",
        "account": {
            "email": "marine11@example.net",
            "name": "Michèle Bonneau"
        }
    }
}
 

Received response:

Request failed with error:

Tip: Check that you're properly connected to the network.
If you're a maintainer of ths API, verify that your API is running and you've enabled CORS.
You can check the Dev Tools console for debugging information.

Example request:

curl --request GET \
    --get "http://diabolocom-ai.local/api/buckets" \
    --header "Content-Type: application/json" \
    --header "Accept: application/json"

const url = new URL(
    "http://diabolocom-ai.local/api/buckets"
);

const headers = {
    "Content-Type": "application/json",
    "Accept": "application/json",
};

fetch(url, {
    method: "GET",
    headers,
}).then(response => response.json());

Example response (200):

{
    "data": [
        {
            "id": "b1ee4370-9b56-4b87-8eb8-dee59919eb52",
            "title": "Accusantium voluptatem adipisci consequatur repellat qui ipsa.",
            "created_at": 918479857,
            "entries_count": 1,
            "webhooks": {
                "enabled": false,
                "link": null,
                "signing_enabled": false,
                "secret": null
            }
        },
        {
            "id": "bf44cebf-498c-4cea-90f5-6bdeafb8e375",
            "title": "Saepe ducimus tempore adipisci.",
            "created_at": 530915054,
            "entries_count": 1,
            "webhooks": {
                "enabled": false,
                "link": null,
                "signing_enabled": false,
                "secret": null
            }
        }
    ]
}
 

Received response:

Request failed with error:

Tip: Check that you're properly connected to the network.
If you're a maintainer of ths API, verify that your API is running and you've enabled CORS.
You can check the Dev Tools console for debugging information.

Example request:

curl --request POST \
    "http://diabolocom-ai.local/api/buckets/pariatur/entries" \
    --header "Content-Type: application/json" \
    --header "Accept: application/json" \
    --data "{
    \"content\": \"xntefluuqhngztgiv\",
    \"entries\": \"jlpuyh\"
}"

const url = new URL(
    "http://diabolocom-ai.local/api/buckets/pariatur/entries"
);

const headers = {
    "Content-Type": "application/json",
    "Accept": "application/json",
};

let body = {
    "content": "xntefluuqhngztgiv",
    "entries": "jlpuyh"
};

fetch(url, {
    method: "POST",
    headers,
    body: JSON.stringify(body),
}).then(response => response.json());

Example response (201):

{
    "added_entries": 5
}
 

Received response:

Request failed with error:

Tip: Check that you're properly connected to the network.
If you're a maintainer of ths API, verify that your API is running and you've enabled CORS.
You can check the Dev Tools console for debugging information.

Example request:

curl --request POST \
    "http://diabolocom-ai.local/api/buckets" \
    --header "Content-Type: application/json" \
    --header "Accept: application/json" \
    --data "{
    \"title\": \"nwuyaejs\",
    \"webhooks_enabled\": false,
    \"webhooks_signing_enabled\": true
}"

const url = new URL(
    "http://diabolocom-ai.local/api/buckets"
);

const headers = {
    "Content-Type": "application/json",
    "Accept": "application/json",
};

let body = {
    "title": "nwuyaejs",
    "webhooks_enabled": false,
    "webhooks_signing_enabled": true
};

fetch(url, {
    method: "POST",
    headers,
    body: JSON.stringify(body),
}).then(response => response.json());

Example response (201):

{
    "id": "id_of_new_databucket"
}
 

Received response:

Request failed with error:

Tip: Check that you're properly connected to the network.
If you're a maintainer of ths API, verify that your API is running and you've enabled CORS.
You can check the Dev Tools console for debugging information.

Example request:

curl --request GET \
    --get "http://diabolocom-ai.local/api/buckets/dignissimos/entries?page=1" \
    --header "Content-Type: application/json" \
    --header "Accept: application/json"

const url = new URL(
    "http://diabolocom-ai.local/api/buckets/dignissimos/entries"
);

const params = {
    "page": "1",
};
Object.keys(params)
    .forEach(key => url.searchParams.append(key, params[key]));

const headers = {
    "Content-Type": "application/json",
    "Accept": "application/json",
};

fetch(url, {
    method: "GET",
    headers,
}).then(response => response.json());

Example response (200):

{
    "data": [
        {
            "content": "Sit aut et fuga tempora sunt totam perferendis repellendus iusto perferendis fugiat iusto eligendi quia rem culpa vitae voluptate expedita qui modi amet placeat voluptatem aut assumenda ut cupiditate ut laboriosam fugit quod autem aut.",
            "meta": [],
            "classifications": [],
            "created_at": 1725140019,
            "results": [
                {
                    "id": "225a9257-7f4d-4234-9ca2-135c33d914ea",
                    "textual_result": "Si Madame veut me faire l'honneur d'en user, dit le.",
                    "numeric_result": 1
                }
            ]
        },
        {
            "content": "Sequi alias minus temporibus dolor et et amet reiciendis ipsam harum sint non dolorum omnis aut rem ducimus consectetur et quod rem eaque cupiditate provident numquam consequatur consequatur provident quia fugiat praesentium.",
            "meta": [],
            "classifications": [],
            "created_at": 1118778332,
            "results": [
                {
                    "id": "b4d5ed30-d86f-41c9-96a9-f57d1c43acad",
                    "textual_result": "Charles Bovary, se fit un devoir de prodiguer au médecin.",
                    "numeric_result": 5
                }
            ]
        }
    ],
    "links": {
        "first": "/?page=1",
        "last": "/?page=1",
        "prev": null,
        "next": null
    },
    "meta": {
        "current_page": 1,
        "from": 1,
        "last_page": 1,
        "links": [
            {
                "url": null,
                "label": "« Previous",
                "active": false
            },
            {
                "url": "/?page=1",
                "label": "1",
                "active": true
            },
            {
                "url": null,
                "label": "Next »",
                "active": false
            }
        ],
        "path": "/",
        "per_page": 15,
        "to": 2,
        "total": 2
    }
}
 

Received response:

Request failed with error:

Tip: Check that you're properly connected to the network.
If you're a maintainer of ths API, verify that your API is running and you've enabled CORS.
You can check the Dev Tools console for debugging information.

Example request:

curl --request POST \
    "http://diabolocom-ai.local/api/job/tasks" \
    --header "Content-Type: multipart/form-data" \
    --header "Accept: application/json" \
    --form "original_call_id=hic"\
    --form "task=ai-insight"\
    --form "job_id=sed"\
    --form "results_webhook_callback_url=http://kovacek.biz/nostrum-cum-vel-magnam-numquam-maiores-cupiditate-eos"\
    --form "keep_audio_after_analysis=1"\
    --form "configuration[vocabulary]=owpwcxo"\
    --form "configuration[company_name]=nllyyrbwrgdclkgvqgom"\
    --form "configuration[asr][prompt]=atjucfjfrfisxzrqvtwqnyqk"\
    --form "configuration[asr][lang]=et"\
    --form "configuration[asr][segments_to_crop][]=repellat"\
    --form "configuration[insights][output_lang]=consequatur"\
    --form "base_64_file=explicabo"\
    --form "diabolocom_call_id=aut"\
    --form "voicemail=1"\
    --form "generate_tags_with_summary="\
    --form "insight_task=actions-extraction"\
    --form "insight_tasks[]=products-extraction"\
    --form "insights_preset_chain=qm-criteria-evaluation"\
    --form "meta[]=adipisci"\
    --form "file=@/tmp/phpB3douB" 

const url = new URL(
    "http://diabolocom-ai.local/api/job/tasks"
);

const headers = {
    "Content-Type": "multipart/form-data",
    "Accept": "application/json",
};

const body = new FormData();
body.append('original_call_id', 'hic');
body.append('task', 'ai-insight');
body.append('job_id', 'sed');
body.append('results_webhook_callback_url', 'http://kovacek.biz/nostrum-cum-vel-magnam-numquam-maiores-cupiditate-eos');
body.append('keep_audio_after_analysis', '1');
body.append('configuration[vocabulary]', 'owpwcxo');
body.append('configuration[company_name]', 'nllyyrbwrgdclkgvqgom');
body.append('configuration[asr][prompt]', 'atjucfjfrfisxzrqvtwqnyqk');
body.append('configuration[asr][lang]', 'et');
body.append('configuration[asr][segments_to_crop][]', 'repellat');
body.append('configuration[insights][output_lang]', 'consequatur');
body.append('base_64_file', 'explicabo');
body.append('diabolocom_call_id', 'aut');
body.append('voicemail', '1');
body.append('generate_tags_with_summary', '');
body.append('insight_task', 'actions-extraction');
body.append('insight_tasks[]', 'products-extraction');
body.append('insights_preset_chain', 'qm-criteria-evaluation');
body.append('meta[]', 'adipisci');
body.append('file', document.querySelector('input[name="file"]').files[0]);

fetch(url, {
    method: "POST",
    headers,
    body,
}).then(response => response.json());

Example response (200):

{
    "job_id": "some-job-id",
    "job_status_endpoint_url": "http://urltogetstatusendpoint.com",
    "audio_id": "id-of-phone-call"
}
 

Example response (403):

{
    "message": "You are not allowed to use this endpoint, please contact our sales team to get access"
}
 

Received response:

Request failed with error:

Tip: Check that you're properly connected to the network.
If you're a maintainer of ths API, verify that your API is running and you've enabled CORS.
You can check the Dev Tools console for debugging information.

Example request:

curl --request POST \
    "http://diabolocom-ai.local/api/job/text-tasks" \
    --header "Content-Type: application/json" \
    --header "Accept: application/json" \
    --data "{
    \"configuration\": {
        \"input_parameters\": []
    },
    \"meta\": [
        \"saepe\"
    ],
    \"output_lang\": \"quos\",
    \"task\": \"quality-monitoring-criterion-generation\",
    \"tasks\": [
        \"email-addresses-extraction\"
    ]
}"

const url = new URL(
    "http://diabolocom-ai.local/api/job/text-tasks"
);

const headers = {
    "Content-Type": "application/json",
    "Accept": "application/json",
};

let body = {
    "configuration": {
        "input_parameters": []
    },
    "meta": [
        "saepe"
    ],
    "output_lang": "quos",
    "task": "quality-monitoring-criterion-generation",
    "tasks": [
        "email-addresses-extraction"
    ]
};

fetch(url, {
    method: "POST",
    headers,
    body: JSON.stringify(body),
}).then(response => response.json());

Received response:

Request failed with error:

Tip: Check that you're properly connected to the network.
If you're a maintainer of ths API, verify that your API is running and you've enabled CORS.
You can check the Dev Tools console for debugging information.

Example request:

curl --request GET \
    --get "http://diabolocom-ai.local/api/job/status/78a61c25-ea99-486c-bda9-35bbbd0d09c6" \
    --header "Content-Type: application/json" \
    --header "Accept: application/json"

const url = new URL(
    "http://diabolocom-ai.local/api/job/status/78a61c25-ea99-486c-bda9-35bbbd0d09c6"
);

const headers = {
    "Content-Type": "application/json",
    "Accept": "application/json",
};

fetch(url, {
    method: "GET",
    headers,
}).then(response => response.json());

Example response (200):

{
    "data": {
        "id": "78a61c25-ea99-486c-bda9-35bbbd0d09c6",
        "original_call_id": "0b45ccdf-e936-338f-8595-7d4cb6e18ff3",
        "audio_id": "0a70debe-9c33-4e00-85e0-90848ace3a76",
        "status": "success",
        "results": {
            "audio": {
                "duration": 674
            },
            "ai-insights": {
                "llm-title": [
                    {
                        "id": "afe31d73-6103-4229-a1ab-447feaaae876",
                        "text": "Facere iusto est quaerat rerum dolores est et. Officiis explicabo laboriosam minima repellendus voluptatibus distinctio accusamus nulla. Saepe minima expedita omnis.",
                        "object": [],
                        "type": "llm-title"
                    }
                ]
            }
        }
    }
}
 

Received response:

Request failed with error:

Tip: Check that you're properly connected to the network.
If you're a maintainer of ths API, verify that your API is running and you've enabled CORS.
You can check the Dev Tools console for debugging information.

Example request:

curl --request POST \
    "http://diabolocom-ai.local/api/models/advanced_entity_recognition" \
    --header "Content-Type: application/json" \
    --header "Accept: application/json" \
    --data "{
    \"lang\": \"id\",
    \"text\": \"nihil\",
    \"data_bucket_id\": \"et\"
}"

const url = new URL(
    "http://diabolocom-ai.local/api/models/advanced_entity_recognition"
);

const headers = {
    "Content-Type": "application/json",
    "Accept": "application/json",
};

let body = {
    "lang": "id",
    "text": "nihil",
    "data_bucket_id": "et"
};

fetch(url, {
    method: "POST",
    headers,
    body: JSON.stringify(body),
}).then(response => response.json());

Received response:

Request failed with error:

Tip: Check that you're properly connected to the network.
If you're a maintainer of ths API, verify that your API is running and you've enabled CORS.
You can check the Dev Tools console for debugging information.

Example request:

curl --request POST \
    "http://diabolocom-ai.local/api/models/contact_reason" \
    --header "Content-Type: application/json" \
    --header "Accept: application/json" \
    --data "{
    \"text\": \"ayrmuaywzfjlnjmlvcqx\",
    \"tags\": [
        \"at\"
    ],
    \"data_bucket_id\": \"dolor\"
}"

const url = new URL(
    "http://diabolocom-ai.local/api/models/contact_reason"
);

const headers = {
    "Content-Type": "application/json",
    "Accept": "application/json",
};

let body = {
    "text": "ayrmuaywzfjlnjmlvcqx",
    "tags": [
        "at"
    ],
    "data_bucket_id": "dolor"
};

fetch(url, {
    method: "POST",
    headers,
    body: JSON.stringify(body),
}).then(response => response.json());

Received response:

Request failed with error:

Tip: Check that you're properly connected to the network.
If you're a maintainer of ths API, verify that your API is running and you've enabled CORS.
You can check the Dev Tools console for debugging information.

Example request:

curl --request POST \
    "http://diabolocom-ai.local/api/models/custom_models_runner/architecto" \
    --header "Content-Type: application/json" \
    --header "Accept: application/json" \
    --data "{
    \"text\": \"rerum\",
    \"data_bucket_id\": \"illo\"
}"

const url = new URL(
    "http://diabolocom-ai.local/api/models/custom_models_runner/architecto"
);

const headers = {
    "Content-Type": "application/json",
    "Accept": "application/json",
};

let body = {
    "text": "rerum",
    "data_bucket_id": "illo"
};

fetch(url, {
    method: "POST",
    headers,
    body: JSON.stringify(body),
}).then(response => response.json());

Received response:

Request failed with error:

Tip: Check that you're properly connected to the network.
If you're a maintainer of ths API, verify that your API is running and you've enabled CORS.
You can check the Dev Tools console for debugging information.

Example request:

curl --request POST \
    "http://diabolocom-ai.local/api/models/diabolocom_ai_insight" \
    --header "Content-Type: application/json" \
    --header "Accept: application/json" \
    --data "{
    \"text\": \"qui\",
    \"data_bucket_id\": \"ex\"
}"

const url = new URL(
    "http://diabolocom-ai.local/api/models/diabolocom_ai_insight"
);

const headers = {
    "Content-Type": "application/json",
    "Accept": "application/json",
};

let body = {
    "text": "qui",
    "data_bucket_id": "ex"
};

fetch(url, {
    method: "POST",
    headers,
    body: JSON.stringify(body),
}).then(response => response.json());

Received response:

Request failed with error:

Tip: Check that you're properly connected to the network.
If you're a maintainer of ths API, verify that your API is running and you've enabled CORS.
You can check the Dev Tools console for debugging information.

Example request:

curl --request POST \
    "http://diabolocom-ai.local/api/models/entity_recognition" \
    --header "Content-Type: application/json" \
    --header "Accept: application/json" \
    --data "{
    \"lang\": \"quisquam\",
    \"text\": \"dolor\",
    \"data_bucket_id\": \"dolores\"
}"

const url = new URL(
    "http://diabolocom-ai.local/api/models/entity_recognition"
);

const headers = {
    "Content-Type": "application/json",
    "Accept": "application/json",
};

let body = {
    "lang": "quisquam",
    "text": "dolor",
    "data_bucket_id": "dolores"
};

fetch(url, {
    method: "POST",
    headers,
    body: JSON.stringify(body),
}).then(response => response.json());

Received response:

Request failed with error:

Tip: Check that you're properly connected to the network.
If you're a maintainer of ths API, verify that your API is running and you've enabled CORS.
You can check the Dev Tools console for debugging information.

Example request:

curl --request POST \
    "http://diabolocom-ai.local/api/models/extract_advanced_persons" \
    --header "Content-Type: application/json" \
    --header "Accept: application/json" \
    --data "{
    \"lang\": \"rerum\",
    \"text\": \"ipsum\",
    \"data_bucket_id\": \"magnam\"
}"

const url = new URL(
    "http://diabolocom-ai.local/api/models/extract_advanced_persons"
);

const headers = {
    "Content-Type": "application/json",
    "Accept": "application/json",
};

let body = {
    "lang": "rerum",
    "text": "ipsum",
    "data_bucket_id": "magnam"
};

fetch(url, {
    method: "POST",
    headers,
    body: JSON.stringify(body),
}).then(response => response.json());

Received response:

Request failed with error:

Tip: Check that you're properly connected to the network.
If you're a maintainer of ths API, verify that your API is running and you've enabled CORS.
You can check the Dev Tools console for debugging information.

Example request:

curl --request POST \
    "http://diabolocom-ai.local/api/models/extract_currencies" \
    --header "Content-Type: application/json" \
    --header "Accept: application/json" \
    --data "{
    \"lang\": \"exercitationem\",
    \"text\": \"sapiente\",
    \"data_bucket_id\": \"repudiandae\"
}"

const url = new URL(
    "http://diabolocom-ai.local/api/models/extract_currencies"
);

const headers = {
    "Content-Type": "application/json",
    "Accept": "application/json",
};

let body = {
    "lang": "exercitationem",
    "text": "sapiente",
    "data_bucket_id": "repudiandae"
};

fetch(url, {
    method: "POST",
    headers,
    body: JSON.stringify(body),
}).then(response => response.json());

Received response:

Request failed with error:

Tip: Check that you're properly connected to the network.
If you're a maintainer of ths API, verify that your API is running and you've enabled CORS.
You can check the Dev Tools console for debugging information.

Example request:

curl --request POST \
    "http://diabolocom-ai.local/api/models/extract_emails" \
    --header "Content-Type: application/json" \
    --header "Accept: application/json" \
    --data "{
    \"lang\": \"ab\",
    \"text\": \"unde\",
    \"data_bucket_id\": \"ad\"
}"

const url = new URL(
    "http://diabolocom-ai.local/api/models/extract_emails"
);

const headers = {
    "Content-Type": "application/json",
    "Accept": "application/json",
};

let body = {
    "lang": "ab",
    "text": "unde",
    "data_bucket_id": "ad"
};

fetch(url, {
    method: "POST",
    headers,
    body: JSON.stringify(body),
}).then(response => response.json());

Received response:

Request failed with error:

Tip: Check that you're properly connected to the network.
If you're a maintainer of ths API, verify that your API is running and you've enabled CORS.
You can check the Dev Tools console for debugging information.

Example request:

curl --request POST \
    "http://diabolocom-ai.local/api/models/extract_languages" \
    --header "Content-Type: application/json" \
    --header "Accept: application/json" \
    --data "{
    \"text\": \"vftackazrxmvobrtpcyuspwag\",
    \"data_bucket_id\": \"rem\"
}"

const url = new URL(
    "http://diabolocom-ai.local/api/models/extract_languages"
);

const headers = {
    "Content-Type": "application/json",
    "Accept": "application/json",
};

let body = {
    "text": "vftackazrxmvobrtpcyuspwag",
    "data_bucket_id": "rem"
};

fetch(url, {
    method: "POST",
    headers,
    body: JSON.stringify(body),
}).then(response => response.json());

Received response:

Request failed with error:

Tip: Check that you're properly connected to the network.
If you're a maintainer of ths API, verify that your API is running and you've enabled CORS.
You can check the Dev Tools console for debugging information.

Example request:

curl --request POST \
    "http://diabolocom-ai.local/api/models/extract_locations" \
    --header "Content-Type: application/json" \
    --header "Accept: application/json" \
    --data "{
    \"lang\": \"corrupti\",
    \"text\": \"voluptatibus\",
    \"data_bucket_id\": \"eum\"
}"

const url = new URL(
    "http://diabolocom-ai.local/api/models/extract_locations"
);

const headers = {
    "Content-Type": "application/json",
    "Accept": "application/json",
};

let body = {
    "lang": "corrupti",
    "text": "voluptatibus",
    "data_bucket_id": "eum"
};

fetch(url, {
    method: "POST",
    headers,
    body: JSON.stringify(body),
}).then(response => response.json());

Received response:

Request failed with error:

Tip: Check that you're properly connected to the network.
If you're a maintainer of ths API, verify that your API is running and you've enabled CORS.
You can check the Dev Tools console for debugging information.

Example request:

curl --request POST \
    "http://diabolocom-ai.local/api/models/extract_persons" \
    --header "Content-Type: application/json" \
    --header "Accept: application/json" \
    --data "{
    \"lang\": \"laborum\",
    \"text\": \"et\",
    \"data_bucket_id\": \"veniam\"
}"

const url = new URL(
    "http://diabolocom-ai.local/api/models/extract_persons"
);

const headers = {
    "Content-Type": "application/json",
    "Accept": "application/json",
};

let body = {
    "lang": "laborum",
    "text": "et",
    "data_bucket_id": "veniam"
};

fetch(url, {
    method: "POST",
    headers,
    body: JSON.stringify(body),
}).then(response => response.json());

Received response:

Request failed with error:

Tip: Check that you're properly connected to the network.
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Example request:

curl --request POST \
    "http://diabolocom-ai.local/api/models/extract_phones" \
    --header "Content-Type: application/json" \
    --header "Accept: application/json" \
    --data "{
    \"lang\": \"ullam\",
    \"text\": \"aspernatur\",
    \"data_bucket_id\": \"aut\"
}"

const url = new URL(
    "http://diabolocom-ai.local/api/models/extract_phones"
);

const headers = {
    "Content-Type": "application/json",
    "Accept": "application/json",
};

let body = {
    "lang": "ullam",
    "text": "aspernatur",
    "data_bucket_id": "aut"
};

fetch(url, {
    method: "POST",
    headers,
    body: JSON.stringify(body),
}).then(response => response.json());

Received response:

Request failed with error:

Tip: Check that you're properly connected to the network.
If you're a maintainer of ths API, verify that your API is running and you've enabled CORS.
You can check the Dev Tools console for debugging information.

Example request:

curl --request POST \
    "http://diabolocom-ai.local/api/models/fine_entity_recognition" \
    --header "Content-Type: application/json" \
    --header "Accept: application/json" \
    --data "{
    \"lang\": \"modi\",
    \"text\": \"cupiditate\",
    \"data_bucket_id\": \"dignissimos\"
}"

const url = new URL(
    "http://diabolocom-ai.local/api/models/fine_entity_recognition"
);

const headers = {
    "Content-Type": "application/json",
    "Accept": "application/json",
};

let body = {
    "lang": "modi",
    "text": "cupiditate",
    "data_bucket_id": "dignissimos"
};

fetch(url, {
    method: "POST",
    headers,
    body: JSON.stringify(body),
}).then(response => response.json());

Received response:

Request failed with error:

Tip: Check that you're properly connected to the network.
If you're a maintainer of ths API, verify that your API is running and you've enabled CORS.
You can check the Dev Tools console for debugging information.

Example request:

curl --request POST \
    "http://diabolocom-ai.local/api/models/products" \
    --header "Content-Type: application/json" \
    --header "Accept: application/json" \
    --data "{
    \"text\": \"mcyqd\",
    \"data_bucket_id\": \"dolorem\"
}"

const url = new URL(
    "http://diabolocom-ai.local/api/models/products"
);

const headers = {
    "Content-Type": "application/json",
    "Accept": "application/json",
};

let body = {
    "text": "mcyqd",
    "data_bucket_id": "dolorem"
};

fetch(url, {
    method: "POST",
    headers,
    body: JSON.stringify(body),
}).then(response => response.json());

Received response:

Request failed with error:

Tip: Check that you're properly connected to the network.
If you're a maintainer of ths API, verify that your API is running and you've enabled CORS.
You can check the Dev Tools console for debugging information.

Example request:

curl --request POST \
    "http://diabolocom-ai.local/api/models/satisfaction" \
    --header "Content-Type: application/json" \
    --header "Accept: application/json" \
    --data "{
    \"text\": \"doloremque\",
    \"data_bucket_id\": \"quam\"
}"

const url = new URL(
    "http://diabolocom-ai.local/api/models/satisfaction"
);

const headers = {
    "Content-Type": "application/json",
    "Accept": "application/json",
};

let body = {
    "text": "doloremque",
    "data_bucket_id": "quam"
};

fetch(url, {
    method: "POST",
    headers,
    body: JSON.stringify(body),
}).then(response => response.json());

Received response:

Request failed with error:

Tip: Check that you're properly connected to the network.
If you're a maintainer of ths API, verify that your API is running and you've enabled CORS.
You can check the Dev Tools console for debugging information.

Example request:

curl --request POST \
    "http://diabolocom-ai.local/api/models/stars_estimation" \
    --header "Content-Type: application/json" \
    --header "Accept: application/json" \
    --data "{
    \"text\": \"lnaw\",
    \"data_bucket_id\": \"in\"
}"

const url = new URL(
    "http://diabolocom-ai.local/api/models/stars_estimation"
);

const headers = {
    "Content-Type": "application/json",
    "Accept": "application/json",
};

let body = {
    "text": "lnaw",
    "data_bucket_id": "in"
};

fetch(url, {
    method: "POST",
    headers,
    body: JSON.stringify(body),
}).then(response => response.json());

Received response:

Request failed with error:

Tip: Check that you're properly connected to the network.
If you're a maintainer of ths API, verify that your API is running and you've enabled CORS.
You can check the Dev Tools console for debugging information.

Example request:

curl --request POST \
    "http://diabolocom-ai.local/api/models/touchpoints" \
    --header "Content-Type: application/json" \
    --header "Accept: application/json" \
    --data "{
    \"text\": \"qqqawszzbfpds\",
    \"data_bucket_id\": \"minima\"
}"

const url = new URL(
    "http://diabolocom-ai.local/api/models/touchpoints"
);

const headers = {
    "Content-Type": "application/json",
    "Accept": "application/json",
};

let body = {
    "text": "qqqawszzbfpds",
    "data_bucket_id": "minima"
};

fetch(url, {
    method: "POST",
    headers,
    body: JSON.stringify(body),
}).then(response => response.json());

Received response:

Request failed with error:

Tip: Check that you're properly connected to the network.
If you're a maintainer of ths API, verify that your API is running and you've enabled CORS.
You can check the Dev Tools console for debugging information.

Example request:

curl --request POST \
    "http://diabolocom-ai.local/api/models/translation" \
    --header "Content-Type: application/json" \
    --header "Accept: application/json" \
    --data "{
    \"text\": \"zbptgkdrsrurqwi\",
    \"input_locale\": \"en_CA\",
    \"output_locale\": \"sr_CS\",
    \"data_bucket_id\": \"suscipit\"
}"

const url = new URL(
    "http://diabolocom-ai.local/api/models/translation"
);

const headers = {
    "Content-Type": "application/json",
    "Accept": "application/json",
};

let body = {
    "text": "zbptgkdrsrurqwi",
    "input_locale": "en_CA",
    "output_locale": "sr_CS",
    "data_bucket_id": "suscipit"
};

fetch(url, {
    method: "POST",
    headers,
    body: JSON.stringify(body),
}).then(response => response.json());

Received response:

Request failed with error:

Tip: Check that you're properly connected to the network.
If you're a maintainer of ths API, verify that your API is running and you've enabled CORS.
You can check the Dev Tools console for debugging information.

Example request:

curl --request POST \
    "http://diabolocom-ai.local/api/models/multiple" \
    --header "Content-Type: application/json" \
    --header "Accept: application/json" \
    --data "{
    \"text\": \"voluptate\",
    \"models\": [
        \"ipsa\"
    ],
    \"data_bucket_id\": \"ea\"
}"

const url = new URL(
    "http://diabolocom-ai.local/api/models/multiple"
);

const headers = {
    "Content-Type": "application/json",
    "Accept": "application/json",
};

let body = {
    "text": "voluptate",
    "models": [
        "ipsa"
    ],
    "data_bucket_id": "ea"
};

fetch(url, {
    method: "POST",
    headers,
    body: JSON.stringify(body),
}).then(response => response.json());

Received response:

Request failed with error:

Tip: Check that you're properly connected to the network.
If you're a maintainer of ths API, verify that your API is running and you've enabled CORS.
You can check the Dev Tools console for debugging information.

Example request:

curl --request GET \
    --get "http://diabolocom-ai.local/api/models/actions-extraction" \
    --header "Content-Type: application/json" \
    --header "Accept: application/json"

const url = new URL(
    "http://diabolocom-ai.local/api/models/actions-extraction"
);

const headers = {
    "Content-Type": "application/json",
    "Accept": "application/json",
};

fetch(url, {
    method: "GET",
    headers,
}).then(response => response.json());

Example response (200):

cache-control: no-cache, private
content-type: application/json
vary: Origin
 

{
    "data": {
        "slug": "actions-extraction",
        "key": "actions-extraction",
        "title": "Extraction of call actions",
        "description": "Transcribe and analyze your customers calls (multilingual transcription and analysis) to identify the actions that either took place during the call or are recommended to be completed after the call, with no data required and no additional training",
        "requires_parameters": false,
        "requires_context": true,
        "requires_locales": false,
        "requires_multiple_rows": false,
        "multiple_rows_columns": null,
        "requires_tags": null,
        "requires_presets": null,
        "available_locales": null,
        "parameters": null,
        "content": "## Description\n\nTranscribe and analyze your customers calls (multilingual transcription and analysis) to identify the actions that either took place during the call or are recommended to be completed after the call, with no data required and no additional training.\nThis model developed by <span>Diabolocom.ai</span> is trained to identify and extract the actions listed during your customer calls, including reason clarification and responsability assignment as well as completion state guidance, based on a call (audio) transcription, without further information.<br/>\nIt assists in tracking responsibilities and follow-up tasks.\n\nThis analysis includes the following features :\n- Action Items Extraction : Identifiying and listing specific actions that were discussed during the call\n- Reason Clarification : Providing clarity on the 'why' - the reasons behind each action item\n- Responsibility Assignment : Specifiying which party (agent or client) is responsible for each action item, aiding in accountability\n- Completion state Guidance : Providing guidance for each action to determine if it's completed during the call or should be performed after the call\n\nWhen you run the model, you will have these generated results :\n- The timestampted call transcript : The transcribed call (audio) including separate timestampted conversation lines for each speaker (Client/Agent)\n- The list of identified actions, having each the following details :\n\t- The action title : The action name in the format of a short description with key elements\n\t- The action reason : The underlying reason or purpose behind the action\n\t- The action responsible : The party responsible of the action (agent or client)\n\t- The action completion state : The action status depending on whether it is identified as completed during the call or should be performed after the call\n\t- The action steps : The list of sub-tasks/steps that define the action\n\n![Example](__APP_URL__storage/img/actions-extraction_en.svg \"Example\")\n\n## How to use\n- Upload a stereo phone call : Dual-channel audio (mp3, wav) < 60mb. For a better transcription and analysis quality, make sure that the channel dedicated for the Agent is the stereo right channel, and the channel dedicated for the Client is the stereo left channel\n- Choose your input audio language\n- Choose your AI analysis results language : Specify the analysis output language you want (can be different from your input audio language to enable cross-lingual analysis of the call)\n- Provide your company name : Introduce our model to the name of your company\n- Write a brief context of the call : Introduce our model to the context of the input audio\n\nExplore our model API to take advantage of additional features : \n- Transcription and analysis of defined segments of the call (ability to crop the audio)\n- Reception of a webhook message on successful AI analysis\n\n## Possible uses\n- In-depth analysis of specific calls : VIP customer calls, specific queue calls, calls with empty or no explicit post-call qualification/commentary or follow-up action list, ...\n- Agent performance assessment during the call and Quality Monitoring\n- Pre-filling of post-call follow-up fields to improve agents efficiency and reduce post-call time : call qualification, call summary/commentary, task/action list, ...\n- Integration of AI analysis generated results (actions list with parameters title, reason, responsible, completion state, steps) with CCaaS or CRM/ticketing tool : create a task/action list to perform, update the customer record, interaction or case record, ...\n- Execution of various automated processes depending on the call actions completed or to perform\n- Any other use : we provide the information, you do what you want with it !",
        "available_languages": [],
        "require_file_field": true,
        "without_text_area": true,
        "limitations": "This Diabolocom.ai analysis allows you to identify and extract the actions listed during your customer calls, including reason clarification and responsability assignment as well as completion state guidance, based on a call (audio) transcription, without any prior data. If the call content (audio) is not explicit enough because of speakers overlap or another possible reason, the resulting transcript may not exactly match the call content and the generated results may not be correct.",
        "icon": "SPEAKER",
        "secondary_icon": null,
        "color": "9F70FD",
        "documentation_url": "https://developer.diabolocom.com/#12762abb-6874-4a35-9cc1-c7d3fe211a28",
        "documentation_url_2": null,
        "category": "voice",
        "text_input_key": null
    }
}
 

Received response:

Request failed with error:

Tip: Check that you're properly connected to the network.
If you're a maintainer of ths API, verify that your API is running and you've enabled CORS.
You can check the Dev Tools console for debugging information.