fix(anthropic,bedrock): correct effort error message and dedupe effort_map

- Remove 'none' from the Bedrock _validate_anthropic_adaptive_effort error
  message; it was listed as a valid value but rejected by the membership
  check, leaving users in a feedback loop if they tried 'none'.
- Hoist the duplicated reasoning_effort -> output_config.effort mapping
  out of AnthropicConfig.map_openai_params and
  AmazonConverseConfig._handle_reasoning_effort_parameter into a single
  AnthropicConfig.REASONING_EFFORT_TO_OUTPUT_CONFIG_EFFORT class constant
  so the two routes cannot drift.

litellm/llms/anthropic/chat/transformation.py

@@ -108,6 +108,18 @@ class AnthropicConfig(AnthropicModelInfo, BaseConfig):
     metadata: Optional[dict] = None
     system: Optional[str] = None
 
+    # Shared mapping from OpenAI ``reasoning_effort`` values to Anthropic
+    # ``output_config.effort`` tier values. Used by both the direct Anthropic
+    # path and the Bedrock Converse path so the two routes cannot drift.
+    REASONING_EFFORT_TO_OUTPUT_CONFIG_EFFORT: Dict[str, str] = {
+        "low": "low",
+        "minimal": "low",
+        "medium": "medium",
+        "high": "high",
+        "xhigh": "xhigh",
+        "max": "max",
+    }
+
     def __init__(
         self,
         max_tokens: Optional[int] = None,
@@ -1121,15 +1133,9 @@ class AnthropicConfig(AnthropicModelInfo, BaseConfig):
                     if AnthropicConfig._is_claude_4_6_model(
                         model
                     ) or AnthropicConfig._is_claude_4_7_model(model):
-                        effort_map = {
-                            "low": "low",
-                            "minimal": "low",
-                            "medium": "medium",
-                            "high": "high",
-                            "xhigh": "xhigh",
-                            "max": "max",
-                        }
-                        mapped_effort = effort_map.get(value, value)
+                        mapped_effort = AnthropicConfig.REASONING_EFFORT_TO_OUTPUT_CONFIG_EFFORT.get(
+                            value, value
+                        )
                         optional_params["output_config"] = {"effort": mapped_effort}
             elif param == "web_search_options" and isinstance(value, dict):
                 hosted_web_search_tool = self.map_web_search_tool(

litellm/llms/bedrock/chat/converse_transformation.py

@@ -485,15 +485,11 @@ class AmazonConverseConfig(BaseConfig):
                 if AnthropicConfig._is_claude_4_6_model(
                     model
                 ) or AnthropicConfig._is_claude_4_7_model(model):
-                    effort_map = {
-                        "low": "low",
-                        "minimal": "low",
-                        "medium": "medium",
-                        "high": "high",
-                        "xhigh": "xhigh",
-                        "max": "max",
-                    }
-                    mapped_effort = effort_map.get(reasoning_effort, reasoning_effort)
+                    mapped_effort = (
+                        AnthropicConfig.REASONING_EFFORT_TO_OUTPUT_CONFIG_EFFORT.get(
+                            reasoning_effort, reasoning_effort
+                        )
+                    )
                     self._validate_anthropic_adaptive_effort(
                         model=model, effort=mapped_effort
                     )
@@ -534,7 +530,7 @@ class AmazonConverseConfig(BaseConfig):
                 message=(
                     f"Invalid reasoning_effort/output_config.effort value: "
                     f"{effort!r}. Must be one of: 'low', 'medium', 'high', "
-                    f"'xhigh', 'max', or 'none'."
+                    f"'xhigh', or 'max'."
                 ),
                 model=model,
                 llm_provider="bedrock_converse",