Completions

Completions Request

Text completion endpoint. Returns tokens as they are generated by the model.

post/v1/chat/completions

Request

  • Base URL: https://enricher.getseam.ai
  • URL: https://enricher.getseam.ai/v1/chat/completions
  • Auth: API key in header Authorization

Request body

temperaturenumber nullable

What sampling temperature to use, 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. We generally recommend altering this or top_p but not both.

top_pnumber nullable

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.

We generally recommend altering this or temperature but not both.

max_tokensinteger nullable

The maximum number of tokens to generate.

max_completion_tokensinteger nullable

An upper bound for the number of tokens that can be generated for a completion.

presence_penaltynumber nullable

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.

frequency_penaltynumber nullable

A number between -2.0 and 2.0 where a positive value decreases the likelihood of repeating tokens that have already been mentioned.

logit_biasobject nullable

Modify the likelihood of specified tokens appearing in the completion.

Accepts a JSON object that maps tokens (specified by their token ID in the 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. The exact effect will vary per model, but 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.

logprobsboolean nullable

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.

model'researcher'
streamboolean nullable

If true, stream tokens as Server-Sent Events as the model generates them instead of waiting for the full model response. The stream terminates with data: [DONE]. If false, return a single JSON object containing the results.

Response

Successful Response

idstring required
modelstring required
createdinteger required
citationsstring[]
objectstring

Changes

No recorded changes to this operation across all 1 revision of this API.