Source: https://ailoot.ai/models/en/openai-text-embedding-ada-002-u003a-batch/
Canonical: https://ailoot.ai/models/en/openai-text-embedding-ada-002-u003a-batch/
Language: en

# OpenAI: Text Embedding Ada 002 (batch)

[Markdown](https://ailoot.ai/models/en/openai-text-embedding-ada-002-u003a-batch/index.md) · [JSON](https://ailoot.ai/models/en/openai-text-embedding-ada-002-u003a-batch/facts.json)

## [OpenAI: Text Embedding Ada 002 (batch)](https://ailoot.ai/models/en/openai-text-embedding-ada-002-u003a-batch/)

Text Embedding Ada 002 Batch submits groups of text-embedding requests as one Ailoot batch. Track each item by custom\_id and retrieve the original operation’s complete results.

- [**Ailoot Ultra · Batch** `POST /v1/batches` `openai/text-embedding-ada-002:batch`](https://ailoot.ai/models/en/openai-text-embedding-ada-002-u003a-batch/#method-0)

About the model

This description covers the model’s capabilities. Available in Ailoot inputs, outputs and options are listed for the selected method below.

Text Embedding Ada 002 Batch uses /v1/batches with the exact openai/text-embedding-ada-002:batch model ID. Set endpoint to /v1/embeddings and supply requests; every item contains custom\_id and a body with input as a text string or an array of strings. Keep the identifiers stable so your application can match the results to a collection of new or revised passages.

The batch is asynchronous. Retain the original returned operation ID and use GET /v1/batches/{operation\_id} to follow that same operation with the same caller. A completed result set can contain a response or error for each custom\_id, so inspect the item outcomes as well as the overall status.

Save all completed results as JSONL while preserving every custom\_id and its complete response or error. Associate successful vectors with the submitted document IDs before updating the index. Keep the original operation and item records together so an incomplete or failed item can be investigated without losing the results already returned.

**Ailoot Ultra · Batch** `POST /v1/batches` `openai/text-embedding-ada-002:batch`

[`openai/text-embedding-ada-002:batch`](https://ailoot.ai/models/en/#m=openai%2Ftext-embedding-ada-002%3Abatch&route=Ultra&caller=openai%2Ftext-embedding-ada-002%3Abatch&fmt=batches)

Other /`openai/text-embedding-ada-002:batch`

### Overview

Text Embedding Ada 002 Batch submits groups of text-embedding requests as one Ailoot batch. Track each item by custom\_id and retrieve the original operation’s complete results.

Accepted inputs

Text

Results

embedding

### Available in Ailoot · inputs & methods

**Ailoot Ultra · Batch** `POST /v1/batches`

Input types

`text`

Output types

`embedding`

| Field | Type | Requirement | Values & limits | Default |
| --- | --- | --- | --- | --- |
| Field`model` | Type`string` | RequirementRequired | Values & limits openai/text-embedding-ada-002:batch Conditions: Use this exact Ailoot routing selector. | Default— |
| Field`endpoint` | Type`string` | RequirementRequired | Values & limits /v1/embeddings Conditions: | Default— |
| Field`requests` | Type`array` | RequirementRequired | Values & limits Conditions: | Default— |

Method parameters and lifecycle

| Parameter | Contract |
| --- | --- |
| Parameter`content_type` | Contractapplication/json |
| Parameter`required` | Contractmodel, endpoint, requests |
| Parameter`optional` | Contract |
| Parameter`material_types` | Contracttext |
| Parameter`conditions` | ContractUse this exact Ailoot routing selector. |

Lifecycle: `asynchronous`

`GET /v1/batches/{operation_id}` · actual original response.id, same caller/key/group

### Pricing

Tariff references do not add request options. Supported parameters are listed for the selected method.

Fast mode

Not specified When fast mode is selected

Flex mode

Not specified When flex mode is selected

Maximum reasoning effort

Not specified When maximum reasoning effort uses the default adjustment

Explicit cache pricing

Not enabled When explicit cache is requested

#### Ailoot rates

#### Prices by configuration

Match each charge to the conditions shown. Use one rate for each set of alternative configurations.

| Configuration | Rate schedule | Context tokens, more than | Context tokens, up to and including | Charge |
| --- | --- | --- | --- | --- |
| ConfigurationBase token rates | Rate scheduleBase rate | Context tokens, more than— | Context tokens, up to and includingNo upper bound | Charge Input · Input tokens **$0.0001** / 1K tokens Output · Output tokens **$0** / 1K tokens Input · Cache read **—** / 1K tokens Input · Cache write **—** / 1K tokens Input · Cache write, 1 hour **—** / 1K tokens |
| ConfigurationRequest-length tier 1 | Rate schedule— | Context tokens, more than0 | Context tokens, up to and includingNo upper bound | Charge Input · Input tokens **$0.0001** / 1K tokens Output · Output tokens **$0** / 1K tokens Input · Cache read **—** / 1K tokens Input · Cache write **—** / 1K tokens Input · Cache write, 1 hour **—** / 1K tokens |

Ailoot reserves an estimated amount before a request. After the result, it settles the final charge from measured usage. Streaming settlement uses the final usage record. [How reservation and settlement work →](https://ailoot.ai/docs/en/billing/reserve/)

### Example requests

#### Ailoot Ultra · Batch

curl · create once and retain the complete resultRead the original batch and preserve every result

```bash
set -eu
: "${AILOOT_API_KEY:?Set your Ailoot API key}"
export AILOOT_API_KEY
python3 - <<'PY_REQUEST'
import json,os
from pathlib import Path
p=json.loads('{"endpoint": "/v1/embeddings", "model": "openai/text-embedding-ada-002:batch", "requests": [{"custom_id": "embedding-1", "body": {"input": "The quick brown fox jumps over the lazy dog"}}]}')

Path("request.json").write_text(json.dumps(p,ensure_ascii=False))
PY_REQUEST
curl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/batches \
  -H "Authorization: Bearer $AILOOT_API_KEY" -H 'Content-Type: application/json' \
  --data-binary @request.json -D response-headers.txt -o result.json
# Submit once. Retain the complete result, original identifiers and every response header.
```

```bash
set -eu
: "${AILOOT_API_KEY:?Set your Ailoot API key}"
export AILOOT_API_KEY
python3 - <<'PY_BATCH'
import json,os,subprocess
from pathlib import Path
from urllib.parse import quote
r=json.loads(Path("result.json").read_text()); operation=r["id"]
subprocess.run(["curl","--fail-with-body","--silent","--show-error","https://api.ailoot.ai/v1/batches/"+quote(operation,safe=""),"-H","Authorization: Bearer "+os.environ["AILOOT_API_KEY"],"-D","status-headers.txt","-o","status.json"],check=True)
s=json.loads(Path("status.json").read_text())
if s.get("status")=="completed": Path("results.jsonl").write_text("".join(json.dumps(x,ensure_ascii=False)+"\n" for x in s.get("results",[])))
# Repeat only this same original GET while pending; never repeat creation.
PY_BATCH
```

### Receive and save results

#### Ailoot Ultra · Batch

- `GET /v1/batches/{operation_id}`

##### Keep all completed results

Keep every complete returned response, file and content part.

Preserve original status, every custom\_id and full response/error. Save all completed results\[\] as JSONL; no Files upload/download path is inferred.

##### If the original response needs checking

Preserve the original operation ID and read only that original batch. A timeout, error or unknown state does not authorize another creation.

Response fields

| Field | Type |
| --- | --- |
| Field`results[]` | Typearray |
| Field`results[].custom_id` | Typestring |
| Field`results[].response` | Typeobject |
| Field`results[].error` | Typeobject |

Errors and next steps

| Response | Condition | Next step |
| --- | --- | --- |
| Response400 · `invalid_request_error` | ConditionA required field, model selector, type or input representation is invalid. | Next stepInspect the returned validation detail before preparing a separate request. |
| Response`` | ConditionThe original request or result is unknown or requires a check. | Next stepKeep original identifiers and headers; read only supported status/library records. Do not submit creation again. |

### Aliases

#### Model aliases

**Ailoot Ultra** [`openai/text-embedding-ada-002:batch`](https://ailoot.ai/models/en/#m=openai%2Ftext-embedding-ada-002%3Abatch&route=Ultra&caller=openai%2Ftext-embedding-ada-002%3Abatch&fmt=batches)

#### Method path aliases

Use the method paths shown above.

#### Related caller IDs

[`openai/text-embedding-ada-002:batch`](https://ailoot.ai/models/en/#m=openai%2Ftext-embedding-ada-002%3Abatch&route=Ultra&caller=openai%2Ftext-embedding-ada-002%3Abatch&fmt=batches)

FAQ · OpenAI: Text Embedding Ada 002 (batch)

What inputs and results are available?

`POST /v1/batches` · `openai/text-embedding-ada-002:batch`: `text` → `embedding`

Which fields does the request use?

`POST /v1/batches` · `openai/text-embedding-ada-002:batch`: `model`, `endpoint`, `requests`

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