Migrating from openai-python
openai-oxide uses the same parameter names and resource structure as the official openai-python SDK. If you know the Python API, you already know openai-oxide.
Key Differences
| Python | Rust (openai-oxide) |
|---|---|
client = OpenAI() | let client = OpenAI::from_env()?; |
client.chat.completions.create(...) | client.chat().completions().create(...).await? |
client.responses.create(...) | client.responses().create(...).await? |
stream=True parameter | Separate create_stream() method |
| Dict / Pydantic models | Typed request/response structs |
None for optional fields | Option<T> with builder methods |
| Exception handling | Result<T, OpenAIError> |
Pattern: Python to Rust
# Python
response = client.responses.create(
model="gpt-5.4",
input="Hello",
max_output_tokens=100,
temperature=0.7,
)
#![allow(unused)]
fn main() {
// Rust
let response = client.responses().create(
ResponseCreateRequest::new("gpt-5.4")
.input("Hello")
.max_output_tokens(100)
.temperature(0.7)
).await?;
}See the OpenAI Docs Mapping for a complete endpoint cross-reference.