Skip to content

docs: Update method name for structured output in Ollama docs #807

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Open
apikodes wants to merge 4 commits into
base: main
Choose a base branch
from
+10 −11
Open

docs: Update method name for structured output in Ollama docs #807

Changes from all commits
Commits
Show all changes
4 commits
Select commit Hold shift + click to select a range
3e8bcd5
Update method name for structured output in Ollama docs
apikodes May 2, 2026
13defc0
Update structured output example for Ollama models
apikodes May 4, 2026
ecb012b
Update structured output documentation for Ollama
apikodes May 6, 2026
cfeb797
Refactor book analysis with Ollama model
apikodes May 8, 2026
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
21 changes: 10 additions & 11 deletions src/content/docs/user-guide/concepts/model-providers/ollama.mdx
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -197,7 +197,7 @@ factual_agent = Agent(model=factual_model)

### Structured Output

Ollama supports structured output for models that have tool calling capabilities. When you use [`Agent.structured_output()`](@api/python/strands.agent.agent#Agent.structured_output), the Strands SDK converts your Pydantic models to tool specifications that compatible Ollama models can understand.
Ollama supports structured output for models that have tool calling capabilities. When you pass `structured_output_model` parameter to the [agent invocation](@api/python/strands.agent.agent#Agent.__call__), the Strands SDK converts your Pydantic models to tool specifications that compatible Ollama models can understand.

```python
from pydantic import BaseModel, Field
Expand All @@ -219,19 +219,18 @@ ollama_model = OllamaModel(

agent = Agent(model=ollama_model)

result = agent.structured_output(
BookAnalysis,
"""
Analyze this book: "The Hitchhiker's Guide to the Galaxy" by Douglas Adams.
result = agent(
"""Analyze this book: "The Hitchhiker's Guide to the Galaxy" by Douglas Adams.
It's a science fiction comedy about Arthur Dent's adventures through space
after Earth is destroyed. It's widely considered a classic of humorous sci-fi.
"""
after Earth is destroyed. It's widely considered a classic of humorous sci-fi.""",
structured_output_model=BookAnalysis,
)

print(f"Title: {result.title}")
print(f"Author: {result.author}")
print(f"Genre: {result.genre}")
print(f"Rating: {result.rating}")
book_analysis: BookAnalysis = result.structured_output
print(f"Title: {book_analysis.title}")
print(f"Author: {book_analysis.author}")
print(f"Genre: {book_analysis.genre}")
print(f"Rating: {book_analysis.rating}")
```

## Tool Support
Expand Down
Loading