does pydantic-ai's structured-output API actually work against Ollama's OpenAI-compatible endpoint?
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Question This is the biggest single technical question you might have while using pydantic-ai: Will pydantic-ai round-trip respect output_type through Ollama's /v1/chat/completions cleanly? If yes, then you can rely on structured output. If it can't, then you have to resort to manual validation & enforcement in your application — post-response. But fortunately that is not the case 😅. Stack llama3.2:1b Ollama 0.17.7 Python: 3.12 Findings Imagine you have something like the following: from…
1Key Takeaways
- Question This is the biggest single technical question you might have while using pydantic-ai: Will pydantic-ai round-trip respect output_type through Ollama's /v1/chat/completions cleanly?
- If yes, then you can rely on structured output.
- If it can't, then you have to resort to manual validation & enforcement in your application — post-response.
- But fortunately that is not the case 😅.
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3Why it matters
Coding AI shifts how fast software ships and how much human review each change needs. DEV — AI reports that question This is the biggest single technical question you might have while using pydantic-ai: Will pydantic-ai round-trip respect output_type through Ollama's /v1/chat/completions cleanly?
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