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jxnl merged 1 commit into from
Nov 28, 2025
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Doc / Removed model reference in client.create of extraction example. #1951

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3 changes: 1 addition & 2 deletions docs/learning/getting_started/first_extraction.md
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Expand Up @@ -24,7 +24,6 @@ client = instructor.from_provider("openai/gpt-5-nano")

# 3. Extract structured data from LLM
person = client.create(
model="gpt-3.5-turbo", # Works with GPT-4, Claude, Gemini, etc.
response_model=Person, # Type-safe extraction
messages=[
{"role": "user", "content": "John Doe is 30 years old"}
Expand Down Expand Up @@ -133,4 +132,4 @@ You've successfully extracted structured data from an LLM! Next steps:
- **Data Classification**: Categorize text into predefined schemas
- **Information Parsing**: Convert documents into structured databases

Ready to build more complex LLM extractions? Continue to [Response Models](response_models.md) →
Ready to build more complex LLM extractions? Continue to [Response Models](response_models.md) →