openai · OpenAI Platform Docs
Advanced usage
Techniques for controlling model behavior including achieving deterministic outputs via seed parameters, managing token consumption for cost and latency, and configuring model parameters like frequency and presence pe...
Derived skill
Files assembled from official documentation
Viewing SKILL.md
Advanced usage
Techniques for controlling model behavior including achieving deterministic outputs via seed parameters, managing token consumption for cost and latency, and configuring model parameters like frequency and presence pe...
When To Use
Use when you need to implement reproducible model outputs, optimize API costs through token management, or fine-tune text generation behavior using specific model parameters.
Reference Files
| File | Contains | Use For |
|---|---|---|
SKILL.md | Entry point: scope, routing table, and workflow. | Start here. |
docs/advanced-usage-workflow-guide.md | A guide covering advanced model parameters including reproducibility, token management, and frequency and presence penalties. | Questions about a guide covering advanced model parameters including reproducibility, token management, and frequency and presence pe... |
examples/advanced-usage-openai-advanced-usage-num-tokens.python | A Python function using tiktoken to calculate the number of tokens used by a list of messages for a specific model. | Exact payloads, commands, or snippets shown in A Python function using tiktoken to calculate the number of tokens used by a list of messages for a specific model. |
examples/advanced-usage-openai-advanced-usage-python-system-message-examples.python | A Python script demonstrating the use of multiple system messages and specific user/assistant roles to guide model behavior. | Exact payloads, commands, or snippets shown in A Python script demonstrating the use of multiple system messages and specific user/assistant roles to guide model be... |
examples/advanced-usage-openai-api-python-token-count.python | A Python script demonstrating how to retrieve and print the number of prompt tokens used in an OpenAI API chat completion request. | Exact payloads, commands, or snippets shown in A Python script demonstrating how to retrieve and print the number of prompt tokens used in an OpenAI API chat comple... |
examples/advanced-usage-openai-advanced-usage-frequency-presence-penalty.python | A Python code example demonstrating how to implement frequency and presence penalties in an OpenAI API request. | Exact payloads, commands, or snippets shown in A Python code example demonstrating how to implement frequency and presence penalties in an OpenAI API request. |
What This Skill Covers
- OpenAI's text generation models (often called generative pre-trained transformers or large language models) have been trained to understand natural language,...
- Main sections:
Reproducible outputs,Managing tokens,Parameter details,Frequency and presence penalties,Token log probabilities.
Workflow
- Open the most relevant file under
docs/for the exact documented workflow and wording. - Open
schemas/files for exact structured contracts. - Open
examples/files for concrete requests, commands, snippets, and manifests. - Do not add behavior or configuration that is not present in the attached source files.
Canonical source: https://developers.openai.com/api/docs/guides/advanced-usage.md