OpenAI API

Can I generate structured JSON output with the OpenAI API?

Yes. The POST /chat/completions endpoint supports a response_format parameter set to 'json_object' which constrains the model to output valid JSON. For stricter schemas, use function calling with a JSON Schema definition to guarantee the output matches your expected structure.

What are the rate limits for the OpenAI API?

Rate limits vary by model tier and organization. GPT-4o allows up to 10,000 requests per minute on Tier 5 accounts, while lower tiers start at 500 RPM. Embedding models support higher throughput. The API returns x-ratelimit-remaining and x-ratelimit-reset headers with each response for programmatic tracking.

How do I generate embeddings for a RAG pipeline through Jentic?

Search Jentic for 'create text embeddings' to discover the POST /embeddings operation. Load the schema, then execute with model 'text-embedding-3-small' and your input texts. Jentic returns the operation schema with parameters so your agent can call it directly without browsing OpenAI documentation. Install the SDK with pip install jentic to get started.

What models are available through the OpenAI API?

The GET /models endpoint lists all available models. Current options include GPT-4o and GPT-4o-mini for chat, text-embedding-3-small and text-embedding-3-large for embeddings, whisper-1 for transcription, tts-1 and tts-1-hd for speech synthesis, and dall-e-3 for image generation. Fine-tuned models also appear in this list after training completes.

Can I use function calling to connect GPT to external tools?

Yes. Pass a tools array to POST /chat/completions with function definitions including name, description, and a JSON Schema for parameters. The model returns a tool_calls array when it decides to invoke a function. You execute the function and pass results back in a follow-up message with role 'tool'. Supports parallel tool calls and forced tool_choice.

Is the OpenAI API free to use?

OpenAI offers a free tier with limited credits for new accounts. After that, pricing is pay-per-token: GPT-4o costs $2.50 per million input tokens and $10 per million output tokens. Embedding models are significantly cheaper at $0.02 per million tokens for text-embedding-3-small. The Batch API provides a 50% discount for non-real-time workloads.

Can I limit what my agent is allowed to do with the OpenAI API?

Yes. Because you run Jentic One yourself, your own rules decide which OpenAI operations and credentials the agent may use. Since OpenAI takes its inputs in the request body rather than a resource id in the URL path, you can credit the agent with only the operations it needs, such as creating a chat completion or generating embeddings. Operations you do not grant, like creating fine-tuning jobs, stay off limits unless you add them.