How are completion costs calculated?

API providers charge per token for both input (prompt) and output (completion). Completion tokens are typically more expensive than input tokens. Monitor both to control costs effectively.

What is max_tokens in completions?

Max_tokens limits the maximum length of the generated completion. Setting this appropriately prevents runaway costs and ensures responses fit your application's needs.

Why does my completion sometimes stop mid-sentence?

This usually means max_tokens was reached before natural completion. Either increase max_tokens or design prompts that encourage concise responses.

What is streaming completion?

Streaming returns completion tokens as they're generated rather than waiting for the full response. This improves perceived latency for chat applications and enables real-time display.

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Completion

The output text generated by a language model in response to a prompt. Also refers to the API endpoint type for generating text continuations.

In-Depth Explanation

In the context of language models, a completion is the text generated by the model in response to an input prompt. The model "completes" the prompt by predicting and generating the most likely continuation based on its training.

The completion process works by repeatedly predicting the next most likely token, then appending it to the sequence and predicting again. This autoregressive process continues until a stopping condition is met (max tokens, stop sequence, or end token).

Key aspects of completions:

Token-based: Completions are generated and measured in tokens, not words
Probabilistic: Each generation involves sampling from a probability distribution
Controllable: Parameters like temperature and top_p affect completion randomness
Stop conditions: You can specify sequences that end generation

Understanding completions is essential for:

Estimating and controlling API costs
Designing prompts that elicit desired responses
Implementing streaming for real-time applications
Debugging unexpected model behaviour

Business Context

Understanding completions helps you design effective prompts and predict API costs based on output length, essential for budgeting AI projects.

How Clever Ops Uses This

We help Australian businesses optimise their completion settings - balancing quality, cost, and speed. Proper completion configuration can reduce AI costs by 30-50% while maintaining quality.

Example Use Case

"A prompt asking to summarise an article generates a completion containing the summary. The completion length can be controlled via max_tokens parameter."