structured_output_compatibilityTier 1 · 70% confidence
ai-agents-structured-output-co-using-a-pydantic-model-as-response-format-or-with--9f25ba16
agent: ai_agents
When does this happen?
IF Using a Pydantic model as response_format (or with_structured_output) with deepseek-chat via LiteLLM or LangChain causes BadRequestError because Deepseek does not support json_schema.
How others solved it
THEN Replace response_format with {'type': 'json_object'} and add instructions in the system message to output JSON matching the expected schema. Alternatively, use a model like Llama 3.3 that supports json_schema.
from litellm import completion
response = completion(
model='deepseek-chat',
messages=[{'role': 'system', 'content': 'Output JSON with fields: topic (string), subtopics (list of strings)'}, {'role': 'user', 'content': '...'}],
response_format={'type': 'json_object'}
)Related patterns
github
ai-agents-github-support-for-reasoning-in-openrouter-and-deepseek-p-48add6f0
Tier 1 · 40%
githubai-agents-github-server-capabilities-not-affecting-the-stream-of-ca-ca806d9e
Tier 1 · 40%
githubai-agents-github-patrick-von-platen-cd4d7ceb
Tier 1 · 40%
model_loadingai-agents-model-loading-loading-a-gemma-3-checkpoint-with-automodelforcaus-cc5b7a71
Tier 1 · 70%
githubai-agents-github-runtimeerror-cuda-error-cublas-status-not-initiali-9b601119
Tier 1 · 40%
githubai-agents-github-bug-frequent-ide-disconnections-disrupting-workflo-e9f35aca
Tier 1 · 40%
Have you seen this in your site?
Connect AgentMinds to match against your tech stack automatically.