import SambaNova from 'sambanova';const client = new SambaNova({ apiKey: process.env['SAMBANOVA_API_KEY'], // This is the default and can be omitted});const completion = await client.completions.create({ model: 'gpt-oss-120b', prompt: '<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a helpful assistant.<|eot_id|><|start_header_id|>user<|end_header_id|> create a poem using palindromes<|eot_id|><|start_header_id|>assistant<|end_header_id|>',});console.log(completion);
import os
from sambanova import SambaNova
client = SambaNova(
api_key=os.environ.get("SAMBANOVA_API_KEY"), # This is the default and can be omitted
)
for completion in client.completions.create(
model="gpt-oss-120b",
prompt="<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a helpful assistant.<|eot_id|><|start_header_id|>user<|end_header_id|> create a poem using palindromes<|eot_id|><|start_header_id|>assistant<|end_header_id|>",
):
print(completion)
curl --request POST \
--url https://api.sambanova.ai/v1/completions \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '
{
"prompt": "<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a helpful assistant.<|eot_id|><|start_header_id|>user<|end_header_id|> create a poem using palindromes<|eot_id|><|start_header_id|>assistant<|end_header_id|>",
"max_tokens": 2048,
"model": "gpt-oss-120b",
"stream": false,
"temperature": 0.7,
"top_p": 1
}
'
{ "choices": [ { "finish_reason": "stop", "index": 0, "text": "In madam moon's silver glow, Aha, a palindrome to know, Radar spins, a circular tale, Level heads prevail, without fail. A man, a plan, a canal, Panama! Able was I ere I saw Elba, A Santa at NASA, a curious sight, Do geese see God, in the pale moonlight? Mr. Owl ate my metal worm, Do nine men interpret? Nine men, I nod, Never odd or even, a palindrome's might, Madam, in Eden, I'm Adam. Aibohphobia, a fear to confess, A palindrome's symmetry, I must address, Refer, a word that reads the same, A palindrome's beauty, in its circular game. In the stillness of the night, Ava, a palindrome, shining bright, Hannah, a name that reads the same, A palindrome's magic, in its circular flame. Note: Please keep in mind that creating a poem using palindromes can be a challenging task, and the resulting poem may not be as cohesive or flowing as one that doesn't rely on palindromes. However, I hope you enjoy the attempt!" } ], "created": 1737583288.6076705, "id": "83a7809d-e18f-44f9-9ab7-2bc494c6c661", "model": "gpt-oss-120b", "object": "chat.completion", "system_fingerprint": "fastcoe", "usage": { "acceptance_rate": 4.058139324188232, "completion_tokens": 350, "completion_tokens_after_first_per_sec": 248.09314856382406, "completion_tokens_after_first_per_sec_first_ten": 249.67922929952655, "completion_tokens_per_sec": 238.91966176995348, "end_time": 1737583289.7345645, "is_last_response": true, "prompt_tokens": 43, "start_time": 1737583288.264706, "time_to_first_token": 0.06312894821166992, "total_latency": 1.4649275719174653, "total_tokens": 393, "total_tokens_per_sec": 268.27264878740493 }}
Completions
Create completion
POST
/
completions
JavaScript
import SambaNova from 'sambanova';const client = new SambaNova({ apiKey: process.env['SAMBANOVA_API_KEY'], // This is the default and can be omitted});const completion = await client.completions.create({ model: 'gpt-oss-120b', prompt: '<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a helpful assistant.<|eot_id|><|start_header_id|>user<|end_header_id|> create a poem using palindromes<|eot_id|><|start_header_id|>assistant<|end_header_id|>',});console.log(completion);
import os
from sambanova import SambaNova
client = SambaNova(
api_key=os.environ.get("SAMBANOVA_API_KEY"), # This is the default and can be omitted
)
for completion in client.completions.create(
model="gpt-oss-120b",
prompt="<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a helpful assistant.<|eot_id|><|start_header_id|>user<|end_header_id|> create a poem using palindromes<|eot_id|><|start_header_id|>assistant<|end_header_id|>",
):
print(completion)
curl --request POST \
--url https://api.sambanova.ai/v1/completions \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '
{
"prompt": "<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a helpful assistant.<|eot_id|><|start_header_id|>user<|end_header_id|> create a poem using palindromes<|eot_id|><|start_header_id|>assistant<|end_header_id|>",
"max_tokens": 2048,
"model": "gpt-oss-120b",
"stream": false,
"temperature": 0.7,
"top_p": 1
}
'
{ "choices": [ { "finish_reason": "stop", "index": 0, "text": "In madam moon's silver glow, Aha, a palindrome to know, Radar spins, a circular tale, Level heads prevail, without fail. A man, a plan, a canal, Panama! Able was I ere I saw Elba, A Santa at NASA, a curious sight, Do geese see God, in the pale moonlight? Mr. Owl ate my metal worm, Do nine men interpret? Nine men, I nod, Never odd or even, a palindrome's might, Madam, in Eden, I'm Adam. Aibohphobia, a fear to confess, A palindrome's symmetry, I must address, Refer, a word that reads the same, A palindrome's beauty, in its circular game. In the stillness of the night, Ava, a palindrome, shining bright, Hannah, a name that reads the same, A palindrome's magic, in its circular flame. Note: Please keep in mind that creating a poem using palindromes can be a challenging task, and the resulting poem may not be as cohesive or flowing as one that doesn't rely on palindromes. However, I hope you enjoy the attempt!" } ], "created": 1737583288.6076705, "id": "83a7809d-e18f-44f9-9ab7-2bc494c6c661", "model": "gpt-oss-120b", "object": "chat.completion", "system_fingerprint": "fastcoe", "usage": { "acceptance_rate": 4.058139324188232, "completion_tokens": 350, "completion_tokens_after_first_per_sec": 248.09314856382406, "completion_tokens_after_first_per_sec_first_ten": 249.67922929952655, "completion_tokens_per_sec": 238.91966176995348, "end_time": 1737583289.7345645, "is_last_response": true, "prompt_tokens": 43, "start_time": 1737583288.264706, "time_to_first_token": 0.06312894821166992, "total_latency": 1.4649275719174653, "total_tokens": 393, "total_tokens_per_sec": 268.27264878740493 }}
Authorizations
Authorization
string
header
required
SambaNova API key, sent as a bearer token in the Authorization header (Authorization: Bearer <key>). Default authentication scheme used by the SambaNova SDK across every OpenAI compatible endpoint.
Body
application/json
text prompt and parameters
completions request object. Unknown fields are rejected with a 400 (unknown_parameter) error.
model
stringenum<string>
required
The model ID to use (e.g. gpt-oss-120b). See available models
prompt
string
required
Prompt to send to the model.
Example:
"<|begin_of_text|><|start_header_id|>system<|end_header_id|>\nYou are a helpful assistant.<|eot_id|><|start_header_id|>user<|end_header_id|>\ncreate a poem using palindromes<|eot_id|><|start_header_id|>assistant<|end_header_id|>\n"
max_tokens
integer | null
The maximum number of tokens that can be generated in the chat completion. The total length of input tokens and generated tokens is limited by the model's context length.
Example:
2048
max_completion_tokens
integer | null
The maximum number of tokens that can be generated in the chat completion. The total length of input tokens and generated tokens is limited by the model's context length.
Example:
2048
temperature
number | null
default:0.7
What sampling temperature to use, determines the degree of randomness in the response. between 0 and 2, Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic. Is recommended altering this, top_p or top_k but not more than one of these.
Required range: 0 <= x <= 2
Example:
0.7
top_p
number | null
Cumulative probability for token choices. An alternative to sampling with temperature, called nucleus sampling, where the model considers the results of the tokens with top_p probability mass. So 0.1 means only the tokens comprising the top 10% probability mass are considered. Is recommended altering this, top_k or temperature but not more than one of these.
Required range: 0 <= x <= 1
Example:
1
top_k
integer | null
Amount limit of token choices. An alternative to sampling with temperature, the model considers the results of the first K tokens with higher probability. So 10 means only the first 10 tokens with higher probability are considered. Is recommended altering this, top_p or temperature but not more than one of these.
Required range: 1 <= x <= 100
Example:
5
presence_penalty
number | null
default:0
Number between -2.0 and 2.0. Positive values penalize new tokens based on whether they appear in the text so far, increasing the model's likelihood to talk about new topics. Not currently implemented; accepted for API compatibility
Required range: -2 <= x <= 2
frequency_penalty
number
default:0
Number between -2.0 and 2.0. Positive values penalize new tokens based on their existing frequency in the text so far, decreasing the model's likelihood to repeat the same line verbatim. Not currently implemented; accepted for API compatibility
Required range: -2 <= x <= 2
repetition_penalty
number | null
Penalizes repeated tokens. A value of 1.0 applies no penalty; values above 1.0 discourage repetition. Only supported for some models (currently MiniMax and gpt-oss models); silently ignored on models that do not support it.
Required range: 1 <= x <= 2
stop
stringstring[]
Sequences where the API will stop generating tokens. The returned text will not contain the stop sequence.
Example:
"\n"
stream
boolean | null
default:false
If set, partial message deltas will be sent. Tokens will be sent as data-only server-sent events as they become available, with the stream terminated by a data: [DONE] message.
stream_options
StreamOptions · object | null
Options for streaming response. Only set this when setting stream as true
Show child attributes
logprobs
boolean | null
default:false
This is not yet supported by our models in completions API. Whether to return log probabilities of the output tokens or not. If true, returns the log probabilities of each output token returned in the content of message.
top_logprobs
integer | null
This is not yet supported by our models in completions API. An integer between 0 and 20 specifying the number of most likely tokens to return at each token position, each with an associated log probability. logprobs must be set to true if this parameter is used.
Required range: 0 <= x <= 20
n
integer | null
default:1
How many completions to generate for each prompt.
Note: Because this parameter generates many completions, it can quickly consume your token quota. Use carefully and ensure that you have reasonable settings for max_tokens.
Required range: 1 <= x <= 1
Example:
1
logit_bias
Logit Bias · object | null
Modify the likelihood of specified tokens appearing in the generation. Accepts a JSON object that maps tokens (specified by their token ID in the model tokenizer) to an associated bias value from -100 to 100. Mathematically, the bias is added to the logits generated by the model prior to sampling. Values between -1 and 1 should decrease or increase likelihood of selection; values like -100 or 100 should result in a ban or exclusive selection of the relevant token.
seed
integer | null
If specified, our system will make a best effort to sample deterministically, such that repeated requests with the same seed and parameters should return the same result.
Determinism is not guaranteed, and you should refer to the system_fingerprint response parameter to monitor changes in the backend.
Response
Successful Response
Completion Response
Completion Stream Response
ompletion response returned by the model
choices
Completion Choice · object[]
required
Minimum array length: 1
Show child attributes
created
number
required
The Unix timestamp (in seconds) of when the chat completion was created.
id
string
required
A unique identifier for the chat completion.
model
string
required
The model used for the chat completion.
object
enum<string>
required
The object type, always chat.completion.
Available options:
chat.completion
Allowed value: "chat.completion"
system_fingerprint
string
required
Backend configuration that the model runs with.
usage
Usage · object | null
required
Usage metrics for the completion, embeddings,transcription or translation request
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assistant.\u003c|eot_id|>\u003c|start_header_id|>user\u003c|end_header_id|> create a poem using palindromes\u003c|eot_id|>\u003c|start_header_id|>assistant\u003c|end_header_id|>',\n});\n\nconsole.log(completion);"},{"lang":"Python","source":"import os\nfrom sambanova import SambaNova\n\nclient = SambaNova(\n api_key=os.environ.get(\"SAMBANOVA_API_KEY\"), # This is the default and can be omitted\n)\nfor completion in client.completions.create(\n model=\"gpt-oss-120b\",\n prompt=\"\u003c|begin_of_text|>\u003c|start_header_id|>system\u003c|end_header_id|> You are a helpful assistant.\u003c|eot_id|>\u003c|start_header_id|>user\u003c|end_header_id|> create a poem using palindromes\u003c|eot_id|>\u003c|start_header_id|>assistant\u003c|end_header_id|>\",\n):\n print(completion)"}],"method":"post","type":"path","servers":["b709db63-5fc4-4727-be6d-2a9dac334711"],"path":"/completions","baseUrlOptions":["https://api.sambanova.ai/v1"],"title":"Create 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Only set this when setting stream as true","additionalProperties":true,"properties":{"include_usage":{"oneOf":[{"type":"boolean","title":"Include Usage","description":"Whether to include the usage metrics in a final chunk or not"},{"type":"null"}]}},"uniqueKey":"stream_options.oneOf.1","typeLabel":"null"}],"uniqueKey":"stream_options","typeLabel":"StreamOptions · object | null"},"logprobs":{"oneOf":[{"title":"Logprobs","type":"boolean","description":"This is not yet supported by our models in completions API. Whether to return log probabilities of the output tokens or not. If true, returns the log probabilities of each output token returned in the `content` of `message`.","default":false,"uniqueKey":"logprobs.oneOf.0","typeLabel":"boolean"},{"title":"Logprobs","type":"null","description":"This is not yet supported by our models in completions API. Whether to return log probabilities of the output tokens or not. 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