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https://github.com/BerriAI/litellm.git
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73aaf9e3da
* fix(mistral): forward prompt_cache_key to the Mistral API * fix(mistral): send prompt_cache_key only to Mistral's API and accept reasoning_effort on devstral and code-agent models * fix(mistral): keep the upstream api_base out of the prompt_cache_key rejection message * fix(mistral): honor allowed_openai_params for prompt_cache_key and gate codestral async and env hosts * test(mistral): annotate the new adapter prompt_cache_key tests * fix(mistral): drop or reject a prompt_cache_key the Mistral API cannot take A non-ASCII prompt_cache_key gets a 500 from api.mistral.ai, and a non-string one a 422, so both now drop under drop_params and answer 400 without it, like any value the provider cannot take. The /v1/messages adapter derives no key from a non-ASCII Claude Code session for Mistral, and the 400 names the caller's provider, so a codestral deployment's error says codestral. * fix(mistral): send a reasoning_effort object as its level and keep UnsupportedParamsError on sync calls * fix(mistral): keep async codestral file uploads working by not rewriting the caller's file blocks |
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| .. | ||
| batches | ||
| chat | ||
| files | ||
| messages | ||
| pass_through | ||
| __init__.py | ||
| anthropic_docs_refusal.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_prompt_cache_pricing.py | ||
| test_anthropic_reasoning_effort.py | ||
| test_anthropic_schema_filter.py | ||
| test_anthropic_structured_output.py | ||
| test_anthropic_wif.py | ||
| test_azure_ai_cache_pricing.py | ||
| test_cost_calculation_dict_safety.py | ||
| test_count_tokens_oauth.py | ||
| test_message_sanitization.py | ||