OpenAI
Use GPT-4.1, o3, o4-mini, and other OpenAI models.Setup
- Get an API key at platform.openai.com/api-keys
- In Pawz → Settings → Providers → Add Provider → OpenAI
- Paste your API key
Configuration
| Setting | Default |
|---|---|
| Base URL | https://api.openai.com/v1 |
| API key | Required |
| Default model | — |
Models
| Model | Context | Best for |
|---|---|---|
gpt-4.1 | 1M | Best overall — fast, smart, multimodal |
gpt-4.1-mini | 1M | Great balance of speed and cost |
gpt-4.1-nano | 1M | Ultra-cheap for simple tasks |
o3 | 200K | Complex reasoning and multi-step analysis |
o4-mini | 200K | Reasoning at lower cost |
Prefix routing
Model names starting withgpt*, o1*, o3*, or o4* auto-route to OpenAI. You can also set per-agent model overrides in Settings → Advanced.
Streaming
OpenAI responses stream via Server-Sent Events (SSE). Pawz processes tokens as they arrive — you’ll see text appear word-by-word in the chat. Token usage (input/output) is reported at the end of each stream.Tool calling
OpenAI models support native function/tool calling. When an agent has tools enabled, Pawz sends tool definitions in thetools parameter and handles tool_calls responses automatically. The Human-in-the-Loop approval flow applies to any side-effect tools.
Tips
:::tip- Use
gpt-4.1-nanoas yourcheap_model— it’s extremely affordable and handles simple queries well. Pair it withauto_tierto save 50%+ on token costs. - Prompt caching — OpenAI caches repeated prompt prefixes. Keep your system prompts consistent across sessions to benefit from cached input pricing.
- Set a daily budget — OpenAI models can get expensive with long conversations. Use Settings → Advanced → Daily budget to cap spending.
- Context window — GPT-4.1 supports 1M tokens, but Pawz defaults to a conservative 32K limit per agent. Increase in Settings → Advanced → Context Window if needed. :::