Embed texts (OpenAI-compatible)
curl --request POST \
--url https://api.conare.ai/v1/embeddings \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '
{
"input": [
"how do refunds work?"
]
}
'const options = {
method: 'POST',
headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
body: JSON.stringify({input: ['how do refunds work?']})
};
fetch('https://api.conare.ai/v1/embeddings', options)
.then(res => res.json())
.then(res => console.log(res))
.catch(err => console.error(err));import requests
url = "https://api.conare.ai/v1/embeddings"
payload = { "input": ["how do refunds work?"] }
headers = {
"Authorization": "Bearer <token>",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.text){
"object": "list",
"data": [
{
"object": "embedding",
"index": 123,
"embedding": [
123
]
}
],
"model": "<string>",
"usage": {
"prompt_tokens": 123,
"total_tokens": 123
}
}{
"error": {
"code": "invalid_request",
"message": "text is required",
"request_id": "7d0f4c1e-2b8a-4e39-9a61-3c5e8b2f9d04"
}
}{
"error": {
"code": "invalid_request",
"message": "text is required",
"request_id": "7d0f4c1e-2b8a-4e39-9a61-3c5e8b2f9d04"
}
}{
"error": {
"code": "invalid_request",
"message": "text is required",
"request_id": "7d0f4c1e-2b8a-4e39-9a61-3c5e8b2f9d04"
}
}{
"error": {
"code": "invalid_request",
"message": "text is required",
"request_id": "7d0f4c1e-2b8a-4e39-9a61-3c5e8b2f9d04"
}
}{
"error": {
"code": "invalid_request",
"message": "text is required",
"request_id": "7d0f4c1e-2b8a-4e39-9a61-3c5e8b2f9d04"
}
}Modelos
Embed texts (OpenAI-compatible)
OpenAI’s embeddings API: point an OpenAI client at https://api.conare.ai/v1.
- Embed a search query with
input_type: query; documents need nothing. - A text is read up to
/embed’s limits (6,000 characters, 2,048 tokens); unknown fields are ignored.
POST
https://api.conare.ai
/
v1
/
embeddings
Embed texts (OpenAI-compatible)
curl --request POST \
--url https://api.conare.ai/v1/embeddings \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '
{
"input": [
"how do refunds work?"
]
}
'const options = {
method: 'POST',
headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
body: JSON.stringify({input: ['how do refunds work?']})
};
fetch('https://api.conare.ai/v1/embeddings', options)
.then(res => res.json())
.then(res => console.log(res))
.catch(err => console.error(err));import requests
url = "https://api.conare.ai/v1/embeddings"
payload = { "input": ["how do refunds work?"] }
headers = {
"Authorization": "Bearer <token>",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.text){
"object": "list",
"data": [
{
"object": "embedding",
"index": 123,
"embedding": [
123
]
}
],
"model": "<string>",
"usage": {
"prompt_tokens": 123,
"total_tokens": 123
}
}{
"error": {
"code": "invalid_request",
"message": "text is required",
"request_id": "7d0f4c1e-2b8a-4e39-9a61-3c5e8b2f9d04"
}
}{
"error": {
"code": "invalid_request",
"message": "text is required",
"request_id": "7d0f4c1e-2b8a-4e39-9a61-3c5e8b2f9d04"
}
}{
"error": {
"code": "invalid_request",
"message": "text is required",
"request_id": "7d0f4c1e-2b8a-4e39-9a61-3c5e8b2f9d04"
}
}{
"error": {
"code": "invalid_request",
"message": "text is required",
"request_id": "7d0f4c1e-2b8a-4e39-9a61-3c5e8b2f9d04"
}
}{
"error": {
"code": "invalid_request",
"message": "text is required",
"request_id": "7d0f4c1e-2b8a-4e39-9a61-3c5e8b2f9d04"
}
}Autorizações
A key from conare.ai/dashboard/keys with full access, some namespaces, or models only (/embed, /rerank, /v1, /v2/rerank, /parse).
Corpo
application/json
One text or up to 128 texts of up to 32 KiB; token ids are refused (LangChain: check_embedding_ctx_length=False).
conare-embed-1 (default). conare-embed-1-query: alias of conare-embed-1 with input_type: query, for clients that can't send input_type.
query for a search query, document for stored text.
Opções disponíveis:
document, query base64: little-endian float32s. OpenAI's SDKs use it by default.
Opções disponíveis:
float, base64 Must equal the model's dimensions (1024 for conare-embed-1).
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