mirror of
https://github.com/BerriAI/litellm.git
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Driving a real Claude Code 2.1.278 through the proxy, and a direct call to
api.anthropic.com, both show these two fields are JSON arrays on the wire rather
than objects. The request carries safeguards as
[{"type": "dangerous_tool_use", "classifier_context": {...}}] under beta
dangerous-tool-use-2026-09-03, and the 200 comes back with safeguard_results as
[{"type": "dangerous_tool_use", "status": {"type": "available", "tool_uses": {...}}}].
No runtime change: the request filter matches on TypedDict keys and never inspects
the value. The test fixtures move to the captured shapes so the regression tests
pin what the client and the provider actually exchange.
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|---|---|---|
| .. | ||
| batches | ||
| chat | ||
| experimental_pass_through | ||
| files | ||
| __init__.py | ||
| test_anthropic_common_utils.py | ||
| test_anthropic_count_tokens_transformation.py | ||
| test_anthropic_files_and_batches.py | ||
| test_anthropic_output_format_filter.py | ||
| test_anthropic_prompt_cache_prediction.py | ||
| test_anthropic_reasoning_effort.py | ||
| test_anthropic_schema_filter.py | ||
| test_anthropic_structured_output.py | ||
| test_azure_ai_cache_pricing.py | ||
| test_cost_calculation_dict_safety.py | ||
| test_count_tokens_oauth.py | ||
| test_message_sanitization.py | ||