diff --git a/tests/litellm/llms/anthropic/test_anthropic_reasoning_effort.py b/tests/litellm/llms/anthropic/test_anthropic_reasoning_effort.py index 89da8d87e6..98ae7148c7 100644 --- a/tests/litellm/llms/anthropic/test_anthropic_reasoning_effort.py +++ b/tests/litellm/llms/anthropic/test_anthropic_reasoning_effort.py @@ -19,7 +19,7 @@ class TestMapReasoningEffort: def test_none_returns_none_for_other_models(self): """reasoning_effort=None should return None for non-Opus models.""" result = AnthropicConfig._map_reasoning_effort( - reasoning_effort=None, model="claude-3-7-sonnet-20250219" + reasoning_effort=None, model="claude-4-sonnet-20250514" ) assert result is None @@ -37,14 +37,14 @@ class TestMapReasoningEffort: def test_other_model_low_returns_enabled_with_budget(self): result = AnthropicConfig._map_reasoning_effort( - reasoning_effort="low", model="claude-3-7-sonnet-20250219" + reasoning_effort="low", model="claude-4-sonnet-20250514" ) assert result["type"] == "enabled" assert "budget_tokens" in result def test_other_model_high_returns_enabled_with_budget(self): result = AnthropicConfig._map_reasoning_effort( - reasoning_effort="high", model="claude-3-7-sonnet-20250219" + reasoning_effort="high", model="claude-4-sonnet-20250514" ) assert result["type"] == "enabled" assert "budget_tokens" in result @@ -59,6 +59,6 @@ class TestMapReasoningEffort: def test_none_string_returns_none_for_other_models(self): """reasoning_effort='none' should return None for non-Opus models.""" result = AnthropicConfig._map_reasoning_effort( - reasoning_effort="none", model="claude-3-7-sonnet-20250219" + reasoning_effort="none", model="claude-4-sonnet-20250514" ) assert result is None diff --git a/tests/llm_translation/test_llm_response_utils/test_convert_dict_to_chat_completion.py b/tests/llm_translation/test_llm_response_utils/test_convert_dict_to_chat_completion.py index 3b2087d25e..5a37a5ec93 100644 --- a/tests/llm_translation/test_llm_response_utils/test_convert_dict_to_chat_completion.py +++ b/tests/llm_translation/test_llm_response_utils/test_convert_dict_to_chat_completion.py @@ -864,7 +864,7 @@ def test_convert_to_model_response_object_with_thinking_content(): "response_object": { "id": "chatcmpl-8cc87354-70f3-4a14-b71b-332e965d98d2", "created": 1741057687, - "model": "claude-3-7-sonnet-20250219", + "model": "claude-4-sonnet-20250514", "object": "chat.completion", "system_fingerprint": None, "choices": [ diff --git a/tests/local_testing/test_amazing_vertex_completion.py b/tests/local_testing/test_amazing_vertex_completion.py index 0078483c73..5daabf083e 100644 --- a/tests/local_testing/test_amazing_vertex_completion.py +++ b/tests/local_testing/test_amazing_vertex_completion.py @@ -3242,7 +3242,7 @@ def vertex_ai_anthropic_thinking_mock_response(*args, **kwargs): "id": "msg_vrtx_011pL6Np3MKxXL3R8theMRJW", "type": "message", "role": "assistant", - "model": "claude-3-7-sonnet-20250219", + "model": "claude-4-sonnet-20250514", "content": [ { "type": "thinking", diff --git a/tests/local_testing/test_function_calling.py b/tests/local_testing/test_function_calling.py index e2f9c6d834..e47b32a01f 100644 --- a/tests/local_testing/test_function_calling.py +++ b/tests/local_testing/test_function_calling.py @@ -158,7 +158,7 @@ def test_aaparallel_function_call(model): @pytest.mark.parametrize( "model", [ - "anthropic/claude-3-7-sonnet-20250219", + "anthropic/claude-4-sonnet-20250514", "bedrock/us.anthropic.claude-3-7-sonnet-20250219-v1:0", ], ) diff --git a/tests/local_testing/test_streaming.py b/tests/local_testing/test_streaming.py index ee208b5e0e..b3f13e8a4b 100644 --- a/tests/local_testing/test_streaming.py +++ b/tests/local_testing/test_streaming.py @@ -1387,7 +1387,7 @@ def test_bedrock_claude_3_streaming(): @pytest.mark.parametrize( "model", [ - "claude-3-7-sonnet-20250219", + "claude-4-sonnet-20250514", "cohere.command-r-plus-v1:0", # bedrock "gpt-3.5-turbo", ], @@ -2883,7 +2883,7 @@ def test_completion_claude_3_function_call_with_streaming(): try: # test without max tokens response = completion( - model="claude-3-7-sonnet-20250219", + model="claude-4-sonnet-20250514", messages=messages, tools=tools, tool_choice="required", diff --git a/tests/pass_through_tests/base_anthropic_messages_test.py b/tests/pass_through_tests/base_anthropic_messages_test.py index 90d00ccb1a..e86e58de33 100644 --- a/tests/pass_through_tests/base_anthropic_messages_test.py +++ b/tests/pass_through_tests/base_anthropic_messages_test.py @@ -54,7 +54,7 @@ class BaseAnthropicMessagesTest(ABC): print("making request to anthropic passthrough with thinking") client = self.get_client() response = client.messages.create( - model="claude-3-7-sonnet-20250219", + model="claude-4-sonnet-20250514", max_tokens=20000, thinking={"type": "enabled", "budget_tokens": 16000}, messages=[ @@ -75,7 +75,7 @@ class BaseAnthropicMessagesTest(ABC): collected_response = [] client = self.get_client() with client.messages.stream( - model="claude-3-7-sonnet-20250219", + model="claude-4-sonnet-20250514", max_tokens=20000, thinking={"type": "enabled", "budget_tokens": 16000}, messages=[ diff --git a/tests/pass_through_tests/test_anthropic_passthrough.py b/tests/pass_through_tests/test_anthropic_passthrough.py index 1a2d1b28ab..81bbb88952 100644 --- a/tests/pass_through_tests/test_anthropic_passthrough.py +++ b/tests/pass_through_tests/test_anthropic_passthrough.py @@ -313,7 +313,7 @@ async def test_anthropic_messages_streaming_cost_injection(): } payload = { - "model": "claude-3-7-sonnet-20250219", + "model": "claude-4-sonnet-20250514", "max_tokens": 10, "stream": True, "messages": [{"role": "user", "content": "Say 'Hi'"}], diff --git a/tests/test_litellm/proxy/spend_tracking/test_spend_management_endpoints.py b/tests/test_litellm/proxy/spend_tracking/test_spend_management_endpoints.py index f275681bde..fcfc696f00 100644 --- a/tests/test_litellm/proxy/spend_tracking/test_spend_management_endpoints.py +++ b/tests/test_litellm/proxy/spend_tracking/test_spend_management_endpoints.py @@ -1275,7 +1275,7 @@ class TestSpendLogsPayload: mock_response.json.return_value = { "content": [{"text": "Hi! My name is Claude.", "type": "text"}], "id": "msg_013Zva2CMHLNnXjNJJKqJ2EF", - "model": "claude-3-7-sonnet-20250219", + "model": "claude-4-sonnet-20250514", "role": "assistant", "stop_reason": "end_turn", "stop_sequence": None, @@ -1302,7 +1302,7 @@ class TestSpendLogsPayload: client, "post", side_effect=self.mock_anthropic_response ): response = await litellm.acompletion( - model="claude-3-7-sonnet-20250219", + model="claude-4-sonnet-20250514", messages=[{"role": "user", "content": "Hello, world!"}], metadata={"user_api_key_end_user_id": "test_user_1"}, client=client, @@ -1331,10 +1331,10 @@ class TestSpendLogsPayload: "completionStartTime": datetime.datetime( 2025, 3, 24, 22, 2, 42, 989132, tzinfo=datetime.timezone.utc ), - "model": "claude-3-7-sonnet-20250219", + "model": "claude-4-sonnet-20250514", "user": "", "team_id": "", - "metadata": '{"applied_guardrails": [], "batch_models": null, "mcp_tool_call_metadata": null, "vector_store_request_metadata": null, "guardrail_information": null, "usage_object": {"completion_tokens": 503, "prompt_tokens": 2095, "total_tokens": 2598, "completion_tokens_details": null, "prompt_tokens_details": {"audio_tokens": null, "cached_tokens": 0}, "cache_creation_input_tokens": 0, "cache_read_input_tokens": 0}, "model_map_information": {"model_map_key": "claude-3-7-sonnet-20250219", "model_map_value": {"key": "claude-3-7-sonnet-20250219", "max_tokens": 128000, "max_input_tokens": 200000, "max_output_tokens": 128000, "input_cost_per_token": 3e-06, "cache_creation_input_token_cost": 3.75e-06, "cache_read_input_token_cost": 3e-07, "input_cost_per_character": null, "input_cost_per_token_above_128k_tokens": null, "input_cost_per_token_above_200k_tokens": null, "input_cost_per_query": null, "input_cost_per_second": null, "input_cost_per_audio_token": null, "input_cost_per_token_batches": null, "output_cost_per_token_batches": null, "output_cost_per_token": 1.5e-05, "output_cost_per_audio_token": null, "output_cost_per_character": null, "output_cost_per_token_above_128k_tokens": null, "output_cost_per_character_above_128k_tokens": null, "output_cost_per_token_above_200k_tokens": null, "output_cost_per_second": null, "output_cost_per_image": null, "output_vector_size": null, "litellm_provider": "anthropic", "mode": "chat", "supports_system_messages": null, "supports_response_schema": true, "supports_vision": true, "supports_function_calling": true, "supports_tool_choice": true, "supports_assistant_prefill": true, "supports_prompt_caching": true, "supports_audio_input": false, "supports_audio_output": false, "supports_pdf_input": true, "supports_embedding_image_input": false, "supports_native_streaming": null, "supports_web_search": false, "supports_reasoning": true, "search_context_cost_per_query": null, "tpm": null, "rpm": null, "supported_openai_params": ["stream", "stop", "temperature", "top_p", "max_tokens", "max_completion_tokens", "tools", "tool_choice", "extra_headers", "parallel_tool_calls", "response_format", "user", "reasoning_effort", "thinking"]}}, "additional_usage_values": {"completion_tokens_details": {"accepted_prediction_tokens": null, "audio_tokens": null, "reasoning_tokens": null, "rejected_prediction_tokens": null, "text_tokens": 503, "image_tokens": null}, "prompt_tokens_details": {"audio_tokens": null, "cached_tokens": 0, "text_tokens": null, "image_tokens": null}, "cache_creation_input_tokens": 0, "cache_read_input_tokens": 0}}', + "metadata": '{"applied_guardrails": [], "batch_models": null, "mcp_tool_call_metadata": null, "vector_store_request_metadata": null, "guardrail_information": null, "usage_object": {"completion_tokens": 503, "prompt_tokens": 2095, "total_tokens": 2598, "completion_tokens_details": null, "prompt_tokens_details": {"audio_tokens": null, "cached_tokens": 0}, "cache_creation_input_tokens": 0, "cache_read_input_tokens": 0}, "model_map_information": {"model_map_key": "claude-4-sonnet-20250514", "model_map_value": {"key": "claude-4-sonnet-20250514", "max_tokens": 128000, "max_input_tokens": 200000, "max_output_tokens": 128000, "input_cost_per_token": 3e-06, "cache_creation_input_token_cost": 3.75e-06, "cache_read_input_token_cost": 3e-07, "input_cost_per_character": null, "input_cost_per_token_above_128k_tokens": null, "input_cost_per_token_above_200k_tokens": null, "input_cost_per_query": null, "input_cost_per_second": null, "input_cost_per_audio_token": null, "input_cost_per_token_batches": null, "output_cost_per_token_batches": null, "output_cost_per_token": 1.5e-05, "output_cost_per_audio_token": null, "output_cost_per_character": null, "output_cost_per_token_above_128k_tokens": null, "output_cost_per_character_above_128k_tokens": null, "output_cost_per_token_above_200k_tokens": null, "output_cost_per_second": null, "output_cost_per_image": null, "output_vector_size": null, "litellm_provider": "anthropic", "mode": "chat", "supports_system_messages": null, "supports_response_schema": true, "supports_vision": true, "supports_function_calling": true, "supports_tool_choice": true, "supports_assistant_prefill": true, "supports_prompt_caching": true, "supports_audio_input": false, "supports_audio_output": false, "supports_pdf_input": true, "supports_embedding_image_input": false, "supports_native_streaming": null, "supports_web_search": false, "supports_reasoning": true, "search_context_cost_per_query": null, "tpm": null, "rpm": null, "supported_openai_params": ["stream", "stop", "temperature", "top_p", "max_tokens", "max_completion_tokens", "tools", "tool_choice", "extra_headers", "parallel_tool_calls", "response_format", "user", "reasoning_effort", "thinking"]}}, "additional_usage_values": {"completion_tokens_details": {"accepted_prediction_tokens": null, "audio_tokens": null, "reasoning_tokens": null, "rejected_prediction_tokens": null, "text_tokens": 503, "image_tokens": null}, "prompt_tokens_details": {"audio_tokens": null, "cached_tokens": 0, "text_tokens": null, "image_tokens": null}, "cache_creation_input_tokens": 0, "cache_read_input_tokens": 0}}', "cache_key": "Cache OFF", "spend": 0.01383, "total_tokens": 2598, @@ -1376,7 +1376,7 @@ class TestSpendLogsPayload: { "model_name": "my-anthropic-model-group", "litellm_params": { - "model": "claude-3-7-sonnet-20250219", + "model": "claude-4-sonnet-20250514", }, "model_info": { "id": "my-unique-model-id", @@ -1423,10 +1423,10 @@ class TestSpendLogsPayload: "completionStartTime": datetime.datetime( 2025, 3, 24, 22, 2, 42, 989132, tzinfo=datetime.timezone.utc ), - "model": "claude-3-7-sonnet-20250219", + "model": "claude-4-sonnet-20250514", "user": "", "team_id": "", - "metadata": '{"applied_guardrails": [], "batch_models": null, "mcp_tool_call_metadata": null, "vector_store_request_metadata": null, "guardrail_information": null, "usage_object": {"completion_tokens": 503, "prompt_tokens": 2095, "total_tokens": 2598, "completion_tokens_details": null, "prompt_tokens_details": {"audio_tokens": null, "cached_tokens": 0}, "cache_creation_input_tokens": 0, "cache_read_input_tokens": 0}, "model_map_information": {"model_map_key": "claude-3-7-sonnet-20250219", "model_map_value": {"key": "claude-3-7-sonnet-20250219", "max_tokens": 128000, "max_input_tokens": 200000, "max_output_tokens": 128000, "input_cost_per_token": 3e-06, "cache_creation_input_token_cost": 3.75e-06, "cache_read_input_token_cost": 3e-07, "input_cost_per_character": null, "input_cost_per_token_above_128k_tokens": null, "input_cost_per_token_above_200k_tokens": null, "input_cost_per_query": null, "input_cost_per_second": null, "input_cost_per_audio_token": null, "input_cost_per_token_batches": null, "output_cost_per_token_batches": null, "output_cost_per_token": 1.5e-05, "output_cost_per_audio_token": null, "output_cost_per_character": null, "output_cost_per_token_above_128k_tokens": null, "output_cost_per_character_above_128k_tokens": null, "output_cost_per_token_above_200k_tokens": null, "output_cost_per_second": null, "output_cost_per_image": null, "output_vector_size": null, "litellm_provider": "anthropic", "mode": "chat", "supports_system_messages": null, "supports_response_schema": true, "supports_vision": true, "supports_function_calling": true, "supports_tool_choice": true, "supports_assistant_prefill": true, "supports_prompt_caching": true, "supports_audio_input": false, "supports_audio_output": false, "supports_pdf_input": true, "supports_embedding_image_input": false, "supports_native_streaming": null, "supports_web_search": false, "supports_reasoning": true, "search_context_cost_per_query": null, "tpm": null, "rpm": null, "supported_openai_params": ["stream", "stop", "temperature", "top_p", "max_tokens", "max_completion_tokens", "tools", "tool_choice", "extra_headers", "parallel_tool_calls", "response_format", "user", "reasoning_effort", "thinking"]}}, "additional_usage_values": {"completion_tokens_details": {"accepted_prediction_tokens": null, "audio_tokens": null, "reasoning_tokens": null, "rejected_prediction_tokens": null, "text_tokens": 503, "image_tokens": null}, "prompt_tokens_details": {"audio_tokens": null, "cached_tokens": 0, "text_tokens": null, "image_tokens": null}, "cache_creation_input_tokens": 0, "cache_read_input_tokens": 0}}', + "metadata": '{"applied_guardrails": [], "batch_models": null, "mcp_tool_call_metadata": null, "vector_store_request_metadata": null, "guardrail_information": null, "usage_object": {"completion_tokens": 503, "prompt_tokens": 2095, "total_tokens": 2598, "completion_tokens_details": null, "prompt_tokens_details": {"audio_tokens": null, "cached_tokens": 0}, "cache_creation_input_tokens": 0, "cache_read_input_tokens": 0}, "model_map_information": {"model_map_key": "claude-4-sonnet-20250514", "model_map_value": {"key": "claude-4-sonnet-20250514", "max_tokens": 128000, "max_input_tokens": 200000, "max_output_tokens": 128000, "input_cost_per_token": 3e-06, "cache_creation_input_token_cost": 3.75e-06, "cache_read_input_token_cost": 3e-07, "input_cost_per_character": null, "input_cost_per_token_above_128k_tokens": null, "input_cost_per_token_above_200k_tokens": null, "input_cost_per_query": null, "input_cost_per_second": null, "input_cost_per_audio_token": null, "input_cost_per_token_batches": null, "output_cost_per_token_batches": null, "output_cost_per_token": 1.5e-05, "output_cost_per_audio_token": null, "output_cost_per_character": null, "output_cost_per_token_above_128k_tokens": null, "output_cost_per_character_above_128k_tokens": null, "output_cost_per_token_above_200k_tokens": null, "output_cost_per_second": null, "output_cost_per_image": null, "output_vector_size": null, "litellm_provider": "anthropic", "mode": "chat", "supports_system_messages": null, "supports_response_schema": true, "supports_vision": true, "supports_function_calling": true, "supports_tool_choice": true, "supports_assistant_prefill": true, "supports_prompt_caching": true, "supports_audio_input": false, "supports_audio_output": false, "supports_pdf_input": true, "supports_embedding_image_input": false, "supports_native_streaming": null, "supports_web_search": false, "supports_reasoning": true, "search_context_cost_per_query": null, "tpm": null, "rpm": null, "supported_openai_params": ["stream", "stop", "temperature", "top_p", "max_tokens", "max_completion_tokens", "tools", "tool_choice", "extra_headers", "parallel_tool_calls", "response_format", "user", "reasoning_effort", "thinking"]}}, "additional_usage_values": {"completion_tokens_details": {"accepted_prediction_tokens": null, "audio_tokens": null, "reasoning_tokens": null, "rejected_prediction_tokens": null, "text_tokens": 503, "image_tokens": null}, "prompt_tokens_details": {"audio_tokens": null, "cached_tokens": 0, "text_tokens": null, "image_tokens": null}, "cache_creation_input_tokens": 0, "cache_read_input_tokens": 0}}', "cache_key": "Cache OFF", "spend": 0.01383, "total_tokens": 2598, diff --git a/tests/test_litellm/responses/litellm_completion_transformation/test_session_handler.py b/tests/test_litellm/responses/litellm_completion_transformation/test_session_handler.py index b0a232a7bf..9279ce2611 100644 --- a/tests/test_litellm/responses/litellm_completion_transformation/test_session_handler.py +++ b/tests/test_litellm/responses/litellm_completion_transformation/test_session_handler.py @@ -319,7 +319,7 @@ async def test_should_check_cold_storage_for_full_payload(): ] } ], - "model": "anthropic/claude-3-7-sonnet-20250219", + "model": "anthropic/claude-4-sonnet-20250514", "stream": True, "litellm_trace_id": "16b86861-c120-4ecb-865b-4d2238bfd8f0" } @@ -333,7 +333,7 @@ async def test_should_check_cold_storage_for_full_payload(): "content": "Hello, this is a regular message" } ], - "model": "anthropic/claude-3-7-sonnet-20250219", + "model": "anthropic/claude-4-sonnet-20250514", "stream": True } diff --git a/tests/test_litellm/test_utils.py b/tests/test_litellm/test_utils.py index 5bfb3bd879..31f492a45b 100644 --- a/tests/test_litellm/test_utils.py +++ b/tests/test_litellm/test_utils.py @@ -429,7 +429,7 @@ def test_anthropic_web_search_in_model_info(): litellm.model_cost = litellm.get_model_cost_map(url="") supported_models = [ - "anthropic/claude-3-7-sonnet-20250219", + "anthropic/claude-4-sonnet-20250514", "anthropic/claude-sonnet-4-5-20250929", "anthropic/claude-3-5-sonnet-20241022", "anthropic/claude-3-5-haiku-20241022", @@ -1050,7 +1050,7 @@ def test_supports_computer_use_utility(): try: # Test a model known to support computer_use from backup JSON supports_cu_anthropic = supports_computer_use( - model="anthropic/claude-3-7-sonnet-20250219" + model="anthropic/claude-4-sonnet-20250514" ) assert supports_cu_anthropic is True @@ -1073,7 +1073,7 @@ def test_supports_computer_use_utility(): def test_get_model_info_shows_supports_computer_use(): """ Tests if 'supports_computer_use' is correctly retrieved by get_model_info. - We'll use 'claude-3-7-sonnet-20250219' as it's configured + We'll use 'claude-4-sonnet-20250514' as it's configured in the backup JSON to have supports_computer_use: True. """ os.environ["LITELLM_LOCAL_MODEL_COST_MAP"] = "True" @@ -1082,7 +1082,7 @@ def test_get_model_info_shows_supports_computer_use(): litellm.model_cost = litellm.get_model_cost_map(url="") # This model should have 'supports_computer_use': True in the backup JSON - model_known_to_support_computer_use = "claude-3-7-sonnet-20250219" + model_known_to_support_computer_use = "claude-4-sonnet-20250514" info = litellm.get_model_info(model_known_to_support_computer_use) print(f"Info for {model_known_to_support_computer_use}: {info}")