TEST_LOG

Environment: Windows 11, Python 3.12, llmman serve qwen3:0.6b-q4_K_M on 127.0.0.1:17434.

basic.py

Status: PASS

Description: Sync and streaming responses to "Share a 2 sentence horror story". Confirms the bare model reference passed to Llmman(id=...) resolves against the running server.

Result: Both runs returned a completed response. The model emits a thinking block before the answer, which renders as a separate panel. Sync 3.6s, streaming 1.5s.

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tool_use.py

Status: PASS

Description: Agent with WebSearchTools() answering "Whats happening in France?". Exercises tool calling through llmman's OpenAI-compatible endpoint.

Result: The model selected search_news(query=whats happening in France) and summarised the results into a numbered list. Tool calling works on a 0.6B model. Response 11.8s.

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structured_output.py

Status: PASS

Description: Agent with output_schema=MovieScript prompted with "New York". Exercises the supports_json_schema_outputs = True path.

Result: Returned a fully populated MovieScript — every field set, characters a list of two names, storyline three sentences. The json_schema flag is correct for this provider.

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Notes

On a cp1252 console, examples whose output contains non-cp1252 characters die with UnicodeEncodeError in rich's legacy Windows renderer. Not a provider issue — set PYTHONIOENCODING=utf-8 when running the cookbook on Windows.

A retry.py example was dropped from this cookbook: it used a deliberately wrong model id to trigger retries, but llmman treats an unknown id as a request to pull it and returns a normal 200 completion whose content is the pull error, so no exception is raised and the retry path is never entered.

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Unit tests

libs/agno/tests/unit/models/llmman_model/ — 2 passed.