From e8516483d76b9e0519308a4bb9c41ed0b3150d66 Mon Sep 17 00:00:00 2001
From: ishaan-berri <155045088+ishaan-berri@users.noreply.github.com>
Date: Thu, 16 Apr 2026 09:42:11 -0700
Subject: [PATCH] Merge pull request #25867 from
 BerriAI/litellm_day_0_opus_4.7_support

Litellm day 0 opus 4.7 support
---
 docs/my-website/blog/claude_opus_4_7/index.md |  366 ++++++
 litellm/anthropic_beta_headers_config.json    |   10 +-
 litellm/constants.py                          |    1 +
 litellm/llms/anthropic/chat/transformation.py |   92 +-
 litellm/llms/anthropic/common_utils.py        |   47 +-
 .../messages/transformation.py                |   35 +
 .../bedrock/chat/converse_transformation.py   |   17 +-
 litellm/llms/bedrock/common_utils.py          |   12 +
 .../anthropic_claude3_transformation.py       |   98 ++
 ...odel_prices_and_context_window_backup.json | 1120 +++++++++++++++--
 model_prices_and_context_window.json          | 1120 +++++++++++++++--
 .../test_anthropic_claude3_transformation.py  |  470 +++++++
 tests/test_litellm/test_utils.py              |    4 +
 13 files changed, 3136 insertions(+), 256 deletions(-)
 create mode 100644 docs/my-website/blog/claude_opus_4_7/index.md

diff --git a/docs/my-website/blog/claude_opus_4_7/index.md b/docs/my-website/blog/claude_opus_4_7/index.md
new file mode 100644
index 00000000000..851a0556c4c
--- /dev/null
+++ b/docs/my-website/blog/claude_opus_4_7/index.md
@@ -0,0 +1,366 @@
+---
+slug: claude_opus_4_7
+title: "Day 0 Support: Claude Opus 4.7"
+date: 2026-04-16T10:00:00
+authors:
+  - sameer
+  - ishaan-alt
+  - krrish
+description: "Day 0 support for Claude Opus 4.7 on LiteLLM AI Gateway - use across Anthropic, Azure, Vertex AI, and Bedrock."
+tags: [anthropic, claude, opus 4.7]
+hide_table_of_contents: false
+---
+
+import Tabs from '@theme/Tabs';
+import TabItem from '@theme/TabItem';
+
+LiteLLM now supports [Claude Opus 4.7](https://www.anthropic.com/news/claude-opus-4-7) on Day 0. Use it across Anthropic, Azure, Vertex AI, and Bedrock through the LiteLLM AI Gateway.
+
+{/* truncate */}
+
+## Docker Image
+
+```bash
+docker pull ghcr.io/berriai/litellm:litellm_stable_release_branch-v1.82.0-stable.opus-4-7
+```
+
+## Usage - Anthropic
+
+<Tabs>
+<TabItem value="proxy" label="LiteLLM Proxy">
+
+**1. Setup config.yaml**
+
+```yaml
+model_list:
+  - model_name: claude-opus-4-7
+    litellm_params:
+      model: anthropic/claude-opus-4-7
+      api_key: os.environ/ANTHROPIC_API_KEY
+```
+
+**2. Start the proxy**
+
+```bash
+docker run -d \
+  -p 4000:4000 \
+  -e ANTHROPIC_API_KEY=$ANTHROPIC_API_KEY \
+  -v $(pwd)/config.yaml:/app/config.yaml \
+  ghcr.io/berriai/litellm:litellm_stable_release_branch-v1.82.0-stable.opus-4-7 \
+  --config /app/config.yaml
+```
+
+**3. Test it!**
+
+```bash
+curl --location 'http://0.0.0.0:4000/chat/completions' \
+--header 'Content-Type: application/json' \
+--header 'Authorization: Bearer $LITELLM_KEY' \
+--data '{
+  "model": "claude-opus-4-7",
+  "messages": [
+    {
+      "role": "user",
+      "content": "what llm are you"
+    }
+  ]
+}'
+```
+
+</TabItem>
+</Tabs>
+
+## Usage - Azure
+
+<Tabs>
+<TabItem value="proxy" label="LiteLLM Proxy">
+
+**1. Setup config.yaml**
+
+```yaml
+model_list:
+  - model_name: claude-opus-4-7
+    litellm_params:
+      model: azure_ai/claude-opus-4-7
+      api_key: os.environ/AZURE_AI_API_KEY
+      api_base: os.environ/AZURE_AI_API_BASE  # https://<resource>.services.ai.azure.com
+```
+
+**2. Start the proxy**
+
+```bash
+docker run -d \
+  -p 4000:4000 \
+  -e AZURE_AI_API_KEY=$AZURE_AI_API_KEY \
+  -e AZURE_AI_API_BASE=$AZURE_AI_API_BASE \
+  -v $(pwd)/config.yaml:/app/config.yaml \
+  ghcr.io/berriai/litellm:litellm_stable_release_branch-v1.82.0-stable.opus-4-7 \
+  --config /app/config.yaml
+```
+
+**3. Test it!**
+
+```bash
+curl --location 'http://0.0.0.0:4000/chat/completions' \
+--header 'Content-Type: application/json' \
+--header 'Authorization: Bearer $LITELLM_KEY' \
+--data '{
+  "model": "claude-opus-4-7",
+  "messages": [
+    {
+      "role": "user",
+      "content": "what llm are you"
+    }
+  ]
+}'
+```
+
+</TabItem>
+</Tabs>
+
+## Usage - Vertex AI
+
+<Tabs>
+<TabItem value="proxy" label="LiteLLM Proxy">
+
+**1. Setup config.yaml**
+
+```yaml
+model_list:
+  - model_name: claude-opus-4-7
+    litellm_params:
+      model: vertex_ai/claude-opus-4-7
+      vertex_project: os.environ/VERTEX_PROJECT
+      vertex_location: us-east5
+```
+
+**2. Start the proxy**
+
+```bash
+docker run -d \
+  -p 4000:4000 \
+  -e VERTEX_PROJECT=$VERTEX_PROJECT \
+  -e GOOGLE_APPLICATION_CREDENTIALS=/app/credentials.json \
+  -v $(pwd)/config.yaml:/app/config.yaml \
+  -v $(pwd)/credentials.json:/app/credentials.json \
+  ghcr.io/berriai/litellm:litellm_stable_release_branch-v1.82.0-stable.opus-4-7 \
+  --config /app/config.yaml
+```
+
+**3. Test it!**
+
+```bash
+curl --location 'http://0.0.0.0:4000/chat/completions' \
+--header 'Content-Type: application/json' \
+--header 'Authorization: Bearer $LITELLM_KEY' \
+--data '{
+  "model": "claude-opus-4-7",
+  "messages": [
+    {
+      "role": "user",
+      "content": "what llm are you"
+    }
+  ]
+}'
+```
+
+</TabItem>
+</Tabs>
+
+## Usage - Bedrock
+
+<Tabs>
+<TabItem value="proxy" label="LiteLLM Proxy">
+
+**1. Setup config.yaml**
+
+```yaml
+model_list:
+  - model_name: claude-opus-4-7
+    litellm_params:
+      model: bedrock/anthropic.claude-opus-4-7
+      aws_access_key_id: os.environ/AWS_ACCESS_KEY_ID
+      aws_secret_access_key: os.environ/AWS_SECRET_ACCESS_KEY
+      aws_region_name: us-east-1
+```
+
+**2. Start the proxy**
+
+```bash
+docker run -d \
+  -p 4000:4000 \
+  -e AWS_ACCESS_KEY_ID=$AWS_ACCESS_KEY_ID \
+  -e AWS_SECRET_ACCESS_KEY=$AWS_SECRET_ACCESS_KEY \
+  -v $(pwd)/config.yaml:/app/config.yaml \
+  ghcr.io/berriai/litellm:litellm_stable_release_branch-v1.82.0-stable.opus-4-7 \
+  --config /app/config.yaml
+```
+
+**3. Test it!**
+
+```bash
+curl --location 'http://0.0.0.0:4000/chat/completions' \
+--header 'Content-Type: application/json' \
+--header 'Authorization: Bearer $LITELLM_KEY' \
+--data '{
+  "model": "claude-opus-4-7",
+  "messages": [
+    {
+      "role": "user",
+      "content": "what llm are you"
+    }
+  ]
+}'
+```
+
+</TabItem>
+</Tabs>
+
+## Advanced Features
+
+### Adaptive Thinking
+
+:::note
+When using `reasoning_effort` with Claude Opus 4.7, all values (`low`, `medium`, `high`, `xhigh`) are mapped to `thinking: {type: "adaptive"}`. To use explicit thinking budgets with `type: "enabled"`, pass the native `thinking` parameter directly.
+:::
+
+<Tabs>
+<TabItem value="completions" label="/chat/completions">
+
+LiteLLM supports adaptive thinking through the `reasoning_effort` parameter:
+
+```bash
+curl --location 'http://0.0.0.0:4000/chat/completions' \
+--header 'Content-Type: application/json' \
+--header 'Authorization: Bearer $LITELLM_KEY' \
+--data '{
+  "model": "claude-opus-4-7",
+  "messages": [
+    {
+      "role": "user",
+      "content": "Solve this complex problem: What is the optimal strategy for..."
+    }
+  ],
+  "reasoning_effort": "high"
+}'
+```
+
+</TabItem>
+<TabItem value="messages" label="/v1/messages">
+
+Use the `thinking` parameter with `type: "adaptive"` to enable adaptive thinking mode:
+
+```bash
+curl --location 'http://0.0.0.0:4000/v1/messages' \
+--header 'x-api-key: sk-12345' \
+--header 'content-type: application/json' \
+--data '{
+    "model": "claude-opus-4-7",
+    "max_tokens": 16000,
+    "thinking": {
+        "type": "adaptive"
+    },
+    "messages": [
+        {
+            "role": "user",
+            "content": "Explain why the sum of two even numbers is always even."
+        }
+    ]
+}'
+```
+
+</TabItem>
+</Tabs>
+
+### Effort Levels
+
+Claude Opus 4.7 supports four effort levels: `low`, `medium`, `high` (default), and `xhigh`. These give you finer-grained control over how much reasoning the model applies to a task. Pass the effort level via the `output_config` parameter.
+
+`xhigh` is a new effort level introduced with Opus 4.7 that sits above `high`. The `max` effort level is Claude Opus 4.6 only and is not available on 4.7.
+
+<Tabs>
+<TabItem value="completions" label="/chat/completions">
+
+```bash
+curl --location 'http://0.0.0.0:4000/chat/completions' \
+--header 'Content-Type: application/json' \
+--header 'Authorization: Bearer $LITELLM_KEY' \
+--data '{
+  "model": "claude-opus-4-7",
+  "messages": [
+    {
+      "role": "user",
+      "content": "Explain quantum computing"
+    }
+  ],
+  "output_config": {
+    "effort": "xhigh"
+  }
+}'
+```
+
+**Using OpenAI SDK:**
+
+```python
+import openai
+
+client = openai.OpenAI(
+    api_key="your-litellm-key",
+    base_url="http://0.0.0.0:4000"
+)
+
+response = client.chat.completions.create(
+    model="claude-opus-4-7",
+    messages=[{"role": "user", "content": "Explain quantum computing"}],
+    extra_body={"output_config": {"effort": "xhigh"}}
+)
+```
+
+**Using LiteLLM SDK:**
+
+```python
+from litellm import completion
+
+response = completion(
+    model="anthropic/claude-opus-4-7",
+    messages=[{"role": "user", "content": "Explain quantum computing"}],
+    output_config={"effort": "xhigh"},
+)
+```
+
+You can combine `reasoning_effort` with `output_config` for even more fine-grained control over the model's behavior.
+
+</TabItem>
+<TabItem value="messages" label="/v1/messages">
+
+```bash
+curl --location 'http://0.0.0.0:4000/v1/messages' \
+--header 'x-api-key: sk-12345' \
+--header 'content-type: application/json' \
+--data '{
+    "model": "claude-opus-4-7",
+    "max_tokens": 4096,
+    "messages": [
+        {
+            "role": "user",
+            "content": "Explain quantum computing"
+        }
+    ],
+    "output_config": {
+        "effort": "xhigh"
+    }
+}'
+```
+
+</TabItem>
+</Tabs>
+
+**Effort level guide:**
+
+| Effort | When to use |
+|--------|-------------|
+| `low` | Short, fast responses — simple lookups, formatting, classification |
+| `medium` | Balanced tradeoff for everyday Q&A and light reasoning |
+| `high` (default) | Complex reasoning, code generation, analysis |
+| `xhigh` | Hardest problems — multi-step math, deep research, agentic planning |
+
diff --git a/litellm/anthropic_beta_headers_config.json b/litellm/anthropic_beta_headers_config.json
index 5dd8536f4c0..04af7c7891e 100644
--- a/litellm/anthropic_beta_headers_config.json
+++ b/litellm/anthropic_beta_headers_config.json
@@ -67,13 +67,13 @@
     "compact-2026-01-12": null,
     "computer-use-2025-01-24": "computer-use-2025-01-24",
     "computer-use-2025-11-24": "computer-use-2025-11-24",
-    "context-1m-2025-08-07": null,
-    "context-management-2025-06-27": "context-management-2025-06-27",
+    "context-1m-2025-08-07": "context-1m-2025-08-07",
+    "context-management-2025-06-27": null,
     "effort-2025-11-24": null,
     "fast-mode-2026-02-01": null,
     "files-api-2025-04-14": null,
     "fine-grained-tool-streaming-2025-05-14": null,
-    "interleaved-thinking-2025-05-14": "interleaved-thinking-2025-05-14",
+    "interleaved-thinking-2025-05-14": null,
     "mcp-client-2025-11-20": null,
     "mcp-client-2025-04-04": null,
     "mcp-servers-2025-12-04": null,
@@ -98,12 +98,12 @@
     "computer-use-2025-01-24": "computer-use-2025-01-24",
     "computer-use-2025-11-24": "computer-use-2025-11-24",
     "context-1m-2025-08-07": "context-1m-2025-08-07",
-    "context-management-2025-06-27": "context-management-2025-06-27",
+    "context-management-2025-06-27": null,
     "effort-2025-11-24": null,
     "fast-mode-2026-02-01": null,
     "files-api-2025-04-14": null,
     "fine-grained-tool-streaming-2025-05-14": null,
-    "interleaved-thinking-2025-05-14": "interleaved-thinking-2025-05-14",
+    "interleaved-thinking-2025-05-14": null,
     "mcp-client-2025-11-20": null,
     "mcp-client-2025-04-04": null,
     "mcp-servers-2025-12-04": null,
diff --git a/litellm/constants.py b/litellm/constants.py
index 03f80a8cb78..c5d9b04311d 100644
--- a/litellm/constants.py
+++ b/litellm/constants.py
@@ -1034,6 +1034,7 @@ BEDROCK_CONVERSE_MODELS = [
     "openai.gpt-oss-120b-1:0",
     "anthropic.claude-haiku-4-5-20251001-v1:0",
     "anthropic.claude-sonnet-4-5-20250929-v1:0",
+    "anthropic.claude-opus-4-7",
     "anthropic.claude-opus-4-6-v1:0",
     "anthropic.claude-opus-4-6-v1",
     "anthropic.claude-opus-4-1-20250805-v1:0",
diff --git a/litellm/llms/anthropic/chat/transformation.py b/litellm/llms/anthropic/chat/transformation.py
index c2cfff80685..bc722803563 100644
--- a/litellm/llms/anthropic/chat/transformation.py
+++ b/litellm/llms/anthropic/chat/transformation.py
@@ -61,6 +61,7 @@ from litellm.types.utils import (
 from litellm.utils import (
     ModelResponse,
     Usage,
+    _supports_factory,
     add_dummy_tool,
     any_assistant_message_has_thinking_blocks,
     get_max_tokens,
@@ -175,6 +176,30 @@ class AnthropicConfig(AnthropicModelInfo, BaseConfig):
         """Check if the model is Claude Opus 4.5."""
         return "opus-4-6" in model.lower() or "opus_4_6" in model.lower()
 
+    @staticmethod
+    def _is_opus_4_7_model(model: str) -> bool:
+        """Check if the model is specifically Claude Opus 4.7."""
+        model_lower = model.lower()
+        return any(
+            v in model_lower for v in ("opus-4-7", "opus_4_7", "opus-4.7", "opus_4.7")
+        )
+
+    @staticmethod
+    def _supports_effort_level(model: str, level: str) -> bool:
+        """Check ``supports_{level}_reasoning_effort`` in the model map.
+
+        Mirrors the pattern used in ``openai/chat/gpt_5_transformation.py`` so
+        that adding support for a new effort level is a pure model-map change.
+        """
+        try:
+            return _supports_factory(
+                model=model,
+                custom_llm_provider="anthropic",
+                key=f"supports_{level}_reasoning_effort",
+            )
+        except Exception:
+            return False
+
     def get_supported_openai_params(self, model: str):
         params = [
             "stream",
@@ -193,9 +218,14 @@ class AnthropicConfig(AnthropicModelInfo, BaseConfig):
             "speed",
         ]
 
-        if "claude-3-7-sonnet" in model or supports_reasoning(
-            model=model,
-            custom_llm_provider=self.custom_llm_provider,
+        if (
+            "claude-3-7-sonnet" in model
+            or AnthropicConfig._is_claude_4_6_model(model)
+            or AnthropicConfig._is_claude_4_7_model(model)
+            or supports_reasoning(
+                model=model,
+                custom_llm_provider=self.custom_llm_provider,
+            )
         ):
             params.append("thinking")
             params.append("reasoning_effort")
@@ -710,7 +740,9 @@ class AnthropicConfig(AnthropicModelInfo, BaseConfig):
     ) -> Optional[AnthropicThinkingParam]:
         if reasoning_effort is None or reasoning_effort == "none":
             return None
-        if AnthropicConfig._is_claude_opus_4_6(model):
+        if AnthropicConfig._is_claude_4_6_model(
+            model
+        ) or AnthropicConfig._is_claude_4_7_model(model):
             return AnthropicThinkingParam(
                 type="adaptive",
             )
@@ -881,6 +913,12 @@ class AnthropicConfig(AnthropicModelInfo, BaseConfig):
                         "opus-4-5",
                         "opus-4.6",
                         "opus-4-6",
+                        "opus-4.7",
+                        "opus-4-7",
+                        "sonnet-4.6",
+                        "sonnet-4-6",
+                        "sonnet_4.6",
+                        "sonnet_4_6",
                     }
                 ):
                     _output_format = (
@@ -918,6 +956,21 @@ class AnthropicConfig(AnthropicModelInfo, BaseConfig):
                 optional_params["thinking"] = AnthropicConfig._map_reasoning_effort(
                     reasoning_effort=value, model=model
                 )
+                # For Claude 4.6+ models, effort is controlled via output_config,
+                # not thinking budget_tokens. Map reasoning_effort to output_config.
+                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)
+                    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(
                     cast(OpenAIWebSearchOptions, value)
@@ -1290,6 +1343,37 @@ class AnthropicConfig(AnthropicModelInfo, BaseConfig):
 
         return data
 
+    def _apply_output_config(
+        self, data: dict, model: str, optional_params: dict
+    ) -> None:
+        """Validate and apply output_config to the request data."""
+        if "output_config" not in optional_params:
+            return
+        output_config = optional_params.get("output_config")
+        if not output_config or not isinstance(output_config, dict):
+            return
+        effort = output_config.get("effort")
+        valid_efforts = ["high", "medium", "low", "xhigh", "max"]
+        if effort and effort not in valid_efforts:
+            raise ValueError(
+                f"Invalid effort value: {effort}. Must be one of: "
+                f"'high', 'medium', 'low', 'xhigh', 'max'"
+            )
+        # ``max`` is Claude Opus 4.6 only (not Sonnet 4.6, not Opus 4.5/4.7).
+        # Keep this hardcoded so the error message is specific and stable.
+        if effort == "max" and not self._is_opus_4_6_model(model):
+            raise ValueError(
+                f"effort='max' is only supported by Claude Opus 4.6. "
+                f"Got model: {model}"
+            )
+        # ``xhigh`` is data-driven via ``supports_xhigh_reasoning_effort`` so
+        # enabling it for a new model is a pure model-map change.
+        if effort == "xhigh" and not self._supports_effort_level(model, "xhigh"):
+            raise ValueError(
+                f"effort='xhigh' is not supported by this model. Got model: {model}"
+            )
+        data["output_config"] = output_config
+
     def _transform_response_for_json_mode(
         self,
         json_mode: Optional[bool],
diff --git a/litellm/llms/anthropic/common_utils.py b/litellm/llms/anthropic/common_utils.py
index c665e084261..60aabbcd7e2 100644
--- a/litellm/llms/anthropic/common_utils.py
+++ b/litellm/llms/anthropic/common_utils.py
@@ -215,17 +215,62 @@ class AnthropicModelInfo(BaseLLMModelInfo):
 
         return False
 
+    @staticmethod
+    def _is_claude_4_6_model(model: str) -> bool:
+        """Check if the model is a Claude 4.6 model (Opus 4.6 or Sonnet 4.6)."""
+        model_lower = model.lower()
+        return any(
+            v in model_lower
+            for v in (
+                "opus-4-6",
+                "opus_4_6",
+                "opus-4.6",
+                "opus_4.6",
+                "sonnet-4-6",
+                "sonnet_4_6",
+                "sonnet-4.6",
+                "sonnet_4.6",
+            )
+        )
+
+    @staticmethod
+    def _is_claude_4_7_model(model: str) -> bool:
+        """Check if the model is a Claude 4.7 model (Opus 4.7)."""
+        model_lower = model.lower()
+        return any(
+            v in model_lower
+            for v in (
+                "opus-4-7",
+                "opus_4_7",
+                "opus-4.7",
+                "opus_4.7",
+            )
+        )
+
+    @staticmethod
+    def _is_adaptive_thinking_model(model: str) -> bool:
+        """Claude 4.6+ models use adaptive thinking with output_config effort."""
+        return AnthropicModelInfo._is_claude_4_6_model(
+            model
+        ) or AnthropicModelInfo._is_claude_4_7_model(model)
+
     def is_effort_used(
         self, optional_params: Optional[dict], model: Optional[str] = None
     ) -> bool:
         """
         Check if effort parameter is being used.
 
-        Returns True if effort-related parameters are present.
+        Returns True if effort-related parameters are present and
+        the model requires the effort beta header. Claude 4.6+ models
+        use output_config as a stable API feature — no beta header needed.
         """
         if not optional_params:
             return False
 
+        # Claude 4.6+ models use output_config as a stable API feature — no beta header needed
+        if model and self._is_adaptive_thinking_model(model):
+            return False
+
         # Check if reasoning_effort is provided for Claude Opus 4.5
         if model and ("opus-4-5" in model.lower() or "opus_4_5" in model.lower()):
             reasoning_effort = optional_params.get("reasoning_effort")
diff --git a/litellm/llms/anthropic/experimental_pass_through/messages/transformation.py b/litellm/llms/anthropic/experimental_pass_through/messages/transformation.py
index 8275ba2b3e1..7dd611ca652 100644
--- a/litellm/llms/anthropic/experimental_pass_through/messages/transformation.py
+++ b/litellm/llms/anthropic/experimental_pass_through/messages/transformation.py
@@ -133,6 +133,36 @@ class AnthropicMessagesConfig(BaseAnthropicMessagesConfig):
 
         return headers, api_base
 
+    @staticmethod
+    def _translate_legacy_thinking_for_adaptive_model(
+        model: str, optional_params: Dict
+    ) -> None:
+        """Translate legacy ``thinking.type=enabled`` to adaptive for 4.6/4.7.
+        Caller-provided ``output_config.effort`` is never overridden.
+        """
+        if not AnthropicModelInfo._is_adaptive_thinking_model(model):
+            return
+        thinking = optional_params.get("thinking")
+        if not isinstance(thinking, dict) or thinking.get("type") != "enabled":
+            return
+
+        budget = int(thinking.get("budget_tokens") or 0)
+        if budget >= 24000:
+            effort = "xhigh"
+        elif budget >= 10000:
+            effort = "high"
+        elif budget >= 5000:
+            effort = "medium"
+        else:
+            effort = "low"
+
+        optional_params["thinking"] = {"type": "adaptive"}
+        existing_output_config = optional_params.get("output_config")
+        if not isinstance(existing_output_config, dict):
+            existing_output_config = {}
+        existing_output_config.setdefault("effort", effort)
+        optional_params["output_config"] = existing_output_config
+
     def transform_anthropic_messages_request(
         self,
         model: str,
@@ -154,6 +184,11 @@ class AnthropicMessagesConfig(BaseAnthropicMessagesConfig):
                 status_code=400,
             )
 
+        self._translate_legacy_thinking_for_adaptive_model(
+            model=model,
+            optional_params=anthropic_messages_optional_request_params,
+        )
+
         # Filter out x-anthropic-billing-header from system messages
         system_param = anthropic_messages_optional_request_params.get("system")
         if system_param is not None:
diff --git a/litellm/llms/bedrock/chat/converse_transformation.py b/litellm/llms/bedrock/chat/converse_transformation.py
index efa755d515e..5137e1c9ef5 100644
--- a/litellm/llms/bedrock/chat/converse_transformation.py
+++ b/litellm/llms/bedrock/chat/converse_transformation.py
@@ -1094,11 +1094,24 @@ class AmazonConverseConfig(BaseConfig):
             # Add computer use tools and anthropic_beta if needed (only when computer use tools are present)
             if computer_use_tools:
                 # Determine the correct computer-use beta header based on model
-                # "computer-use-2025-11-24" for Claude Opus 4.6, Claude Opus 4.5
+                # "computer-use-2025-11-24" for Claude Opus 4.7, Opus 4.6, and Opus 4.5
                 # "computer-use-2025-01-24" for Claude Sonnet 4.5, Haiku 4.5, Opus 4.1, Sonnet 4, Opus 4, and Sonnet 3.7
                 # "computer-use-2024-10-22" for older models
                 model_lower = model.lower()
-                if "opus-4.6" in model_lower or "opus_4.6" in model_lower or "opus-4-6" in model_lower or "opus_4_6" in model_lower:
+                if (
+                    "opus-4.7" in model_lower
+                    or "opus_4.7" in model_lower
+                    or "opus-4-7" in model_lower
+                    or "opus_4_7" in model_lower
+                    or "opus-4.6" in model_lower
+                    or "opus_4.6" in model_lower
+                    or "opus-4-6" in model_lower
+                    or "opus_4_6" in model_lower
+                    or "sonnet-4.6" in model_lower
+                    or "sonnet_4.6" in model_lower
+                    or "sonnet-4-6" in model_lower
+                    or "sonnet_4_6" in model_lower
+                ):
                     computer_use_header = "computer-use-2025-11-24"
                 elif "opus-4.5" in model_lower or "opus_4.5" in model_lower or "opus-4-5" in model_lower or "opus_4_5" in model_lower:
                     computer_use_header = "computer-use-2025-11-24"
diff --git a/litellm/llms/bedrock/common_utils.py b/litellm/llms/bedrock/common_utils.py
index 4c87f6fa994..c89508258a8 100644
--- a/litellm/llms/bedrock/common_utils.py
+++ b/litellm/llms/bedrock/common_utils.py
@@ -465,6 +465,18 @@ def is_claude_4_5_on_bedrock(model: str) -> bool:
         "opus_4.5",
         "opus-4-5",
         "opus_4_5",
+        "sonnet-4.6",
+        "sonnet_4.6",
+        "sonnet-4-6",
+        "sonnet_4_6",
+        "opus-4.6",
+        "opus_4.6",
+        "opus-4-6",
+        "opus_4_6",
+        "opus-4.7",
+        "opus_4.7",
+        "opus-4-7",
+        "opus_4_7",
     ]
     return any(pattern in model_lower for pattern in claude_4_5_patterns)
 
diff --git a/litellm/llms/bedrock/messages/invoke_transformations/anthropic_claude3_transformation.py b/litellm/llms/bedrock/messages/invoke_transformations/anthropic_claude3_transformation.py
index 477fa3316d1..392935b13c4 100644
--- a/litellm/llms/bedrock/messages/invoke_transformations/anthropic_claude3_transformation.py
+++ b/litellm/llms/bedrock/messages/invoke_transformations/anthropic_claude3_transformation.py
@@ -12,6 +12,9 @@ from typing import (
 
 import httpx
 
+from litellm.anthropic_beta_headers_manager import filter_and_transform_beta_headers
+from litellm.constants import BEDROCK_MIN_THINKING_BUDGET_TOKENS
+from litellm.litellm_core_utils.litellm_logging import verbose_logger
 from litellm.llms.anthropic.common_utils import AnthropicModelInfo
 from litellm.llms.anthropic.experimental_pass_through.messages.transformation import (
     AnthropicMessagesConfig,
@@ -180,10 +183,86 @@ class AmazonAnthropicClaudeMessagesConfig(
             "opus_4",  # Opus 4
             "sonnet-4",
             "sonnet_4",  # Sonnet 4
+            "sonnet-4.6",
+            "sonnet_4.6",
+            "sonnet-4-6",
+            "sonnet_4_6",
+            "opus-4.6",
+            "opus_4.6",
+            "opus-4-6",
+            "opus_4_6",
+            "opus-4.7",
+            "opus_4.7",
+            "opus-4-7",
+            "opus_4_7",
         ]
 
         return any(pattern in model_lower for pattern in supported_patterns)
 
+    def _ensure_thinking_for_clear_thinking_context_management(
+        self,
+        anthropic_messages_request: Dict,
+        model: str,
+    ) -> bool:
+        """
+        Bedrock rejects ``clear_thinking_20251015`` context-management edits unless
+        extended thinking is ``enabled`` or ``adaptive``. Claude Code often sends
+        context management without a top-level ``thinking`` field.
+
+        When we detect that edit type on a model that supports extended thinking on
+        Bedrock, inject a minimal ``thinking`` config so the request succeeds.
+
+        Returns:
+            True if ``thinking`` was added or upgraded for this fix (caller may
+            need to add the interleaved-thinking beta header).
+        """
+        cm = anthropic_messages_request.get("context_management")
+        if not isinstance(cm, dict):
+            return False
+        edits = cm.get("edits")
+        if not isinstance(edits, list):
+            return False
+        needs_thinking = any(
+            isinstance(e, dict) and e.get("type") == "clear_thinking_20251015"
+            for e in edits
+        )
+        if not needs_thinking:
+            return False
+        if not self._supports_extended_thinking_on_bedrock(model):
+            return False
+
+        thinking = anthropic_messages_request.get("thinking")
+        if isinstance(thinking, dict):
+            t = thinking.get("type")
+            if t in ("enabled", "adaptive"):
+                return False
+            # ``disabled`` or unknown — replace with enabled so clear_thinking is valid
+            verbose_logger.debug(
+                "Bedrock clear_thinking_20251015: replacing thinking=%s with minimal enabled thinking",
+                thinking,
+            )
+
+        max_tokens = anthropic_messages_request.get("max_tokens")
+        budget = BEDROCK_MIN_THINKING_BUDGET_TOKENS
+        if isinstance(max_tokens, int) and max_tokens <= budget:
+            verbose_logger.warning(
+                "Bedrock clear_thinking_20251015: max_tokens=%s is not greater than "
+                "minimum thinking budget (%s); cannot inject thinking safely",
+                max_tokens,
+                budget,
+            )
+            return False
+
+        anthropic_messages_request["thinking"] = {
+            "type": "enabled",
+            "budget_tokens": budget,
+        }
+        verbose_logger.debug(
+            "Bedrock clear_thinking_20251015: injected thinking with budget_tokens=%s",
+            budget,
+        )
+        return True
+
     def _is_claude_opus_4_5(self, model: str) -> bool:
         """
         Check if the model is Claude Opus 4.5.
@@ -251,6 +330,15 @@ class AmazonAnthropicClaudeMessagesConfig(
             "opus_4.6",
             "opus-4-6",
             "opus_4_6",
+            # sonnet 4.6
+            "sonnet-4.6",
+            "sonnet_4.6",
+            "sonnet-4-6",
+            "sonnet_4_6",
+            # NOTE: Opus 4.7 on Bedrock does not support server-side tool search
+            # as of launch (2026-04-16). Bedrock rejects the tool type with:
+            # "tool type 'tool_search_tool_..._20251119' is not supported for this model".
+            # Re-add the opus-4.7 patterns here once AWS announces support.
         ]
 
         return any(pattern in model_lower for pattern in supported_patterns)
@@ -376,6 +464,13 @@ class AmazonAnthropicClaudeMessagesConfig(
         if "model" in anthropic_messages_request:
             anthropic_messages_request.pop("model", None)
 
+        injected_thinking_for_clear_thinking = (
+            self._ensure_thinking_for_clear_thinking_context_management(
+                anthropic_messages_request=anthropic_messages_request,
+                model=model,
+            )
+        )
+
         # 4. Remove `ttl` field from cache_control in messages (Bedrock doesn't support it for older models)
         self._remove_ttl_from_cache_control(
             anthropic_messages_request=anthropic_messages_request, model=model
@@ -412,6 +507,9 @@ class AmazonAnthropicClaudeMessagesConfig(
         )
         beta_set.update(auto_betas)
 
+        if injected_thinking_for_clear_thinking:
+            beta_set.add("interleaved-thinking-2025-05-14")
+
         self._get_tool_search_beta_header_for_bedrock(
             model=model,
             tool_search_used=tool_search_used,
diff --git a/litellm/model_prices_and_context_window_backup.json b/litellm/model_prices_and_context_window_backup.json
index 95d8ba2ff60..e541273479e 100644
--- a/litellm/model_prices_and_context_window_backup.json
+++ b/litellm/model_prices_and_context_window_backup.json
@@ -991,7 +991,9 @@
         "supports_response_schema": true,
         "supports_tool_choice": true,
         "supports_vision": true,
-        "tool_use_system_prompt_tokens": 346
+        "tool_use_system_prompt_tokens": 346,
+        "supports_native_structured_output": true,
+        "supports_max_reasoning_effort": true
     },
     "global.anthropic.claude-opus-4-6-v1": {
         "cache_creation_input_token_cost": 6.25e-06,
@@ -1021,7 +1023,9 @@
         "supports_response_schema": true,
         "supports_tool_choice": true,
         "supports_vision": true,
-        "tool_use_system_prompt_tokens": 346
+        "tool_use_system_prompt_tokens": 346,
+        "supports_native_structured_output": true,
+        "supports_max_reasoning_effort": true
     },
     "us.anthropic.claude-opus-4-6-v1": {
         "cache_creation_input_token_cost": 6.875e-06,
@@ -1051,7 +1055,9 @@
         "supports_response_schema": true,
         "supports_tool_choice": true,
         "supports_vision": true,
-        "tool_use_system_prompt_tokens": 346
+        "tool_use_system_prompt_tokens": 346,
+        "supports_native_structured_output": true,
+        "supports_max_reasoning_effort": true
     },
     "eu.anthropic.claude-opus-4-6-v1": {
         "cache_creation_input_token_cost": 6.875e-06,
@@ -1081,7 +1087,9 @@
         "supports_response_schema": true,
         "supports_tool_choice": true,
         "supports_vision": true,
-        "tool_use_system_prompt_tokens": 346
+        "tool_use_system_prompt_tokens": 346,
+        "supports_native_structured_output": true,
+        "supports_max_reasoning_effort": true
     },
     "apac.anthropic.claude-opus-4-6-v1": {
         "cache_creation_input_token_cost": 6.875e-06,
@@ -1111,7 +1119,284 @@
         "supports_response_schema": true,
         "supports_tool_choice": true,
         "supports_vision": true,
-        "tool_use_system_prompt_tokens": 346
+        "tool_use_system_prompt_tokens": 346,
+        "supports_native_structured_output": true,
+        "supports_max_reasoning_effort": true
+    },
+    "anthropic.claude-opus-4-7": {
+        "cache_creation_input_token_cost": 6.25e-06,
+        "cache_read_input_token_cost": 5e-07,
+        "input_cost_per_token": 5e-06,
+        "litellm_provider": "bedrock_converse",
+        "max_input_tokens": 1000000,
+        "max_output_tokens": 128000,
+        "max_tokens": 128000,
+        "mode": "chat",
+        "output_cost_per_token": 2.5e-05,
+        "search_context_cost_per_query": {
+            "search_context_size_high": 0.01,
+            "search_context_size_low": 0.01,
+            "search_context_size_medium": 0.01
+        },
+        "supports_assistant_prefill": false,
+        "supports_computer_use": true,
+        "supports_function_calling": true,
+        "supports_pdf_input": true,
+        "supports_prompt_caching": true,
+        "supports_reasoning": true,
+        "supports_response_schema": true,
+        "supports_tool_choice": true,
+        "supports_vision": true,
+        "supports_xhigh_reasoning_effort": true,
+        "tool_use_system_prompt_tokens": 346,
+        "supports_native_structured_output": true
+    },
+    "global.anthropic.claude-opus-4-7": {
+        "cache_creation_input_token_cost": 6.25e-06,
+        "cache_read_input_token_cost": 5e-07,
+        "input_cost_per_token": 5e-06,
+        "litellm_provider": "bedrock_converse",
+        "max_input_tokens": 1000000,
+        "max_output_tokens": 128000,
+        "max_tokens": 128000,
+        "mode": "chat",
+        "output_cost_per_token": 2.5e-05,
+        "search_context_cost_per_query": {
+            "search_context_size_high": 0.01,
+            "search_context_size_low": 0.01,
+            "search_context_size_medium": 0.01
+        },
+        "supports_assistant_prefill": false,
+        "supports_computer_use": true,
+        "supports_function_calling": true,
+        "supports_pdf_input": true,
+        "supports_prompt_caching": true,
+        "supports_reasoning": true,
+        "supports_response_schema": true,
+        "supports_tool_choice": true,
+        "supports_vision": true,
+        "supports_xhigh_reasoning_effort": true,
+        "tool_use_system_prompt_tokens": 346,
+        "supports_native_structured_output": true
+    },
+    "us.anthropic.claude-opus-4-7": {
+        "cache_creation_input_token_cost": 6.875e-06,
+        "cache_read_input_token_cost": 5.5e-07,
+        "input_cost_per_token": 5.5e-06,
+        "litellm_provider": "bedrock_converse",
+        "max_input_tokens": 1000000,
+        "max_output_tokens": 128000,
+        "max_tokens": 128000,
+        "mode": "chat",
+        "output_cost_per_token": 2.75e-05,
+        "search_context_cost_per_query": {
+            "search_context_size_high": 0.01,
+            "search_context_size_low": 0.01,
+            "search_context_size_medium": 0.01
+        },
+        "supports_assistant_prefill": false,
+        "supports_computer_use": true,
+        "supports_function_calling": true,
+        "supports_pdf_input": true,
+        "supports_prompt_caching": true,
+        "supports_reasoning": true,
+        "supports_response_schema": true,
+        "supports_tool_choice": true,
+        "supports_vision": true,
+        "supports_xhigh_reasoning_effort": true,
+        "tool_use_system_prompt_tokens": 346,
+        "supports_native_structured_output": true
+    },
+    "eu.anthropic.claude-opus-4-7": {
+        "cache_creation_input_token_cost": 6.875e-06,
+        "cache_read_input_token_cost": 5.5e-07,
+        "input_cost_per_token": 5.5e-06,
+        "litellm_provider": "bedrock_converse",
+        "max_input_tokens": 1000000,
+        "max_output_tokens": 128000,
+        "max_tokens": 128000,
+        "mode": "chat",
+        "output_cost_per_token": 2.75e-05,
+        "search_context_cost_per_query": {
+            "search_context_size_high": 0.01,
+            "search_context_size_low": 0.01,
+            "search_context_size_medium": 0.01
+        },
+        "supports_assistant_prefill": false,
+        "supports_computer_use": true,
+        "supports_function_calling": true,
+        "supports_pdf_input": true,
+        "supports_prompt_caching": true,
+        "supports_reasoning": true,
+        "supports_response_schema": true,
+        "supports_tool_choice": true,
+        "supports_vision": true,
+        "supports_xhigh_reasoning_effort": true,
+        "tool_use_system_prompt_tokens": 346,
+        "supports_native_structured_output": true
+    },
+    "au.anthropic.claude-opus-4-7": {
+        "cache_creation_input_token_cost": 6.875e-06,
+        "cache_read_input_token_cost": 5.5e-07,
+        "input_cost_per_token": 5.5e-06,
+        "litellm_provider": "bedrock_converse",
+        "max_input_tokens": 1000000,
+        "max_output_tokens": 128000,
+        "max_tokens": 128000,
+        "mode": "chat",
+        "output_cost_per_token": 2.75e-05,
+        "search_context_cost_per_query": {
+            "search_context_size_high": 0.01,
+            "search_context_size_low": 0.01,
+            "search_context_size_medium": 0.01
+        },
+        "supports_assistant_prefill": false,
+        "supports_computer_use": true,
+        "supports_function_calling": true,
+        "supports_pdf_input": true,
+        "supports_prompt_caching": true,
+        "supports_reasoning": true,
+        "supports_response_schema": true,
+        "supports_tool_choice": true,
+        "supports_vision": true,
+        "supports_xhigh_reasoning_effort": true,
+        "tool_use_system_prompt_tokens": 346,
+        "supports_native_structured_output": true
+    },
+    "anthropic.claude-sonnet-4-6": {
+        "cache_creation_input_token_cost": 3.75e-06,
+        "cache_read_input_token_cost": 3e-07,
+        "input_cost_per_token": 3e-06,
+        "litellm_provider": "bedrock_converse",
+        "max_input_tokens": 1000000,
+        "max_output_tokens": 64000,
+        "max_tokens": 64000,
+        "mode": "chat",
+        "output_cost_per_token": 1.5e-05,
+        "search_context_cost_per_query": {
+            "search_context_size_high": 0.01,
+            "search_context_size_low": 0.01,
+            "search_context_size_medium": 0.01
+        },
+        "supports_assistant_prefill": true,
+        "supports_computer_use": true,
+        "supports_function_calling": true,
+        "supports_pdf_input": true,
+        "supports_prompt_caching": true,
+        "supports_reasoning": true,
+        "supports_response_schema": true,
+        "supports_tool_choice": true,
+        "supports_vision": true,
+        "tool_use_system_prompt_tokens": 346,
+        "supports_native_structured_output": true
+    },
+    "global.anthropic.claude-sonnet-4-6": {
+        "cache_creation_input_token_cost": 3.75e-06,
+        "cache_read_input_token_cost": 3e-07,
+        "input_cost_per_token": 3e-06,
+        "litellm_provider": "bedrock_converse",
+        "max_input_tokens": 1000000,
+        "max_output_tokens": 64000,
+        "max_tokens": 64000,
+        "mode": "chat",
+        "output_cost_per_token": 1.5e-05,
+        "search_context_cost_per_query": {
+            "search_context_size_high": 0.01,
+            "search_context_size_low": 0.01,
+            "search_context_size_medium": 0.01
+        },
+        "supports_assistant_prefill": true,
+        "supports_computer_use": true,
+        "supports_function_calling": true,
+        "supports_pdf_input": true,
+        "supports_prompt_caching": true,
+        "supports_reasoning": true,
+        "supports_response_schema": true,
+        "supports_tool_choice": true,
+        "supports_vision": true,
+        "tool_use_system_prompt_tokens": 346,
+        "supports_native_structured_output": true
+    },
+    "us.anthropic.claude-sonnet-4-6": {
+        "cache_creation_input_token_cost": 4.125e-06,
+        "cache_read_input_token_cost": 3.3e-07,
+        "input_cost_per_token": 3.3e-06,
+        "litellm_provider": "bedrock_converse",
+        "max_input_tokens": 1000000,
+        "max_output_tokens": 64000,
+        "max_tokens": 64000,
+        "mode": "chat",
+        "output_cost_per_token": 1.65e-05,
+        "search_context_cost_per_query": {
+            "search_context_size_high": 0.01,
+            "search_context_size_low": 0.01,
+            "search_context_size_medium": 0.01
+        },
+        "supports_assistant_prefill": true,
+        "supports_computer_use": true,
+        "supports_function_calling": true,
+        "supports_pdf_input": true,
+        "supports_prompt_caching": true,
+        "supports_reasoning": true,
+        "supports_response_schema": true,
+        "supports_tool_choice": true,
+        "supports_vision": true,
+        "tool_use_system_prompt_tokens": 346,
+        "supports_native_structured_output": true
+    },
+    "eu.anthropic.claude-sonnet-4-6": {
+        "cache_creation_input_token_cost": 4.125e-06,
+        "cache_read_input_token_cost": 3.3e-07,
+        "input_cost_per_token": 3.3e-06,
+        "litellm_provider": "bedrock_converse",
+        "max_input_tokens": 1000000,
+        "max_output_tokens": 64000,
+        "max_tokens": 64000,
+        "mode": "chat",
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@@ -1619,6 +1904,35 @@
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@@ -8283,100 +8597,12 @@
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@@ -8407,23 +8633,24 @@
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@@ -19681,7 +19914,276 @@
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+        "supports_function_calling": true,
+        "supports_native_streaming": true,
+        "supports_parallel_function_calling": true,
+        "supports_pdf_input": true,
+        "supports_prompt_caching": true,
+        "supports_reasoning": true,
+        "supports_response_schema": true,
+        "supports_system_messages": true,
+        "supports_tool_choice": true,
+        "supports_service_tier": true,
+        "supports_vision": true,
+        "supports_web_search": true,
+        "supports_none_reasoning_effort": true,
+        "supports_xhigh_reasoning_effort": true,
+        "supports_minimal_reasoning_effort": false
     },
     "gpt-5-pro": {
         "input_cost_per_token": 1.5e-05,
@@ -25972,7 +26474,14 @@
         "supports_web_search": true,
         "supports_reasoning": false
     },
-    "perplexity/google/gemini-2.0-flash-thinking-exp": {
+    "perplexity/anthropic/claude-opus-4-7": {
+        "litellm_provider": "perplexity",
+        "mode": "responses",
+        "supports_web_search": true,
+        "supports_reasoning": false,
+        "supports_function_calling": true
+    },
+    "perplexity/anthropic/claude-opus-4-5": {
         "litellm_provider": "perplexity",
         "mode": "responses",
         "supports_web_search": true,
@@ -30325,7 +30834,6 @@
         "max_tokens": 128000,
         "mode": "chat",
         "output_cost_per_token": 2.5e-05,
-        "output_cost_per_token_above_200k_tokens": 3.75e-05,
         "search_context_cost_per_query": {
             "search_context_size_high": 0.01,
             "search_context_size_low": 0.01,
@@ -30340,6 +30848,88 @@
         "supports_response_schema": true,
         "supports_tool_choice": true,
         "supports_vision": true,
+        "tool_use_system_prompt_tokens": 346,
+        "supports_max_reasoning_effort": true
+    },
+    "vertex_ai/claude-opus-4-6@default": {
+        "cache_creation_input_token_cost": 6.25e-06,
+        "cache_read_input_token_cost": 5e-07,
+        "input_cost_per_token": 5e-06,
+        "litellm_provider": "vertex_ai-anthropic_models",
+        "max_input_tokens": 1000000,
+        "max_output_tokens": 128000,
+        "max_tokens": 128000,
+        "mode": "chat",
+        "output_cost_per_token": 2.5e-05,
+        "search_context_cost_per_query": {
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+            "search_context_size_low": 0.01,
+            "search_context_size_medium": 0.01
+        },
+        "supports_assistant_prefill": false,
+        "supports_computer_use": true,
+        "supports_function_calling": true,
+        "supports_pdf_input": true,
+        "supports_prompt_caching": true,
+        "supports_reasoning": true,
+        "supports_response_schema": true,
+        "supports_tool_choice": true,
+        "supports_vision": true,
+         "tool_use_system_prompt_tokens": 346,
+        "supports_max_reasoning_effort": true
+    },
+    "vertex_ai/claude-opus-4-7": {
+        "cache_creation_input_token_cost": 6.25e-06,
+        "cache_read_input_token_cost": 5e-07,
+        "input_cost_per_token": 5e-06,
+        "litellm_provider": "vertex_ai-anthropic_models",
+        "max_input_tokens": 1000000,
+        "max_output_tokens": 128000,
+        "max_tokens": 128000,
+        "mode": "chat",
+        "output_cost_per_token": 2.5e-05,
+        "search_context_cost_per_query": {
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+            "search_context_size_low": 0.01,
+            "search_context_size_medium": 0.01
+        },
+        "supports_assistant_prefill": false,
+        "supports_computer_use": true,
+        "supports_function_calling": true,
+        "supports_pdf_input": true,
+        "supports_prompt_caching": true,
+        "supports_reasoning": true,
+        "supports_response_schema": true,
+        "supports_tool_choice": true,
+        "supports_vision": true,
+        "supports_xhigh_reasoning_effort": true,
+        "tool_use_system_prompt_tokens": 346
+    },
+    "vertex_ai/claude-opus-4-7@default": {
+        "cache_creation_input_token_cost": 6.25e-06,
+        "cache_read_input_token_cost": 5e-07,
+        "input_cost_per_token": 5e-06,
+        "litellm_provider": "vertex_ai-anthropic_models",
+        "max_input_tokens": 1000000,
+        "max_output_tokens": 128000,
+        "max_tokens": 128000,
+        "mode": "chat",
+        "output_cost_per_token": 2.5e-05,
+        "search_context_cost_per_query": {
+            "search_context_size_high": 0.01,
+            "search_context_size_low": 0.01,
+            "search_context_size_medium": 0.01
+        },
+        "supports_assistant_prefill": false,
+        "supports_computer_use": true,
+        "supports_function_calling": true,
+        "supports_pdf_input": true,
+        "supports_prompt_caching": true,
+        "supports_reasoning": true,
+        "supports_response_schema": true,
+        "supports_tool_choice": true,
+        "supports_vision": true,
+        "supports_xhigh_reasoning_effort": true,
         "tool_use_system_prompt_tokens": 346
     },
     "vertex_ai/claude-sonnet-4-5": {
@@ -36938,5 +37528,291 @@
         "supports_vision": true,
         "supports_web_search": true,
         "tpm": 8000000
+    },
+    "vertex_ai/claude-sonnet-4-6@default": {
+        "cache_creation_input_token_cost": 3.75e-06,
+        "cache_read_input_token_cost": 3e-07,
+        "input_cost_per_token": 3e-06,
+        "litellm_provider": "vertex_ai-anthropic_models",
+        "max_input_tokens": 1000000,
+        "max_output_tokens": 64000,
+        "max_tokens": 64000,
+        "mode": "chat",
+        "output_cost_per_token": 1.5e-05,
+        "supports_assistant_prefill": true,
+        "supports_computer_use": true,
+        "supports_function_calling": true,
+        "supports_pdf_input": true,
+        "supports_prompt_caching": true,
+        "supports_reasoning": true,
+        "supports_response_schema": true,
+        "supports_tool_choice": true,
+        "supports_vision": true,
+        "tool_use_system_prompt_tokens": 346,
+        "search_context_cost_per_query": {
+            "search_context_size_high": 0.01,
+            "search_context_size_low": 0.01,
+            "search_context_size_medium": 0.01
+        }
+    },
+    "duckduckgo/search": {
+        "litellm_provider": "duckduckgo",
+        "mode": "search",
+        "input_cost_per_query": 0.0,
+        "metadata": {
+            "notes": "DuckDuckGo Instant Answer API is free and does not require an API key."
+        }
+    },
+    "bedrock_mantle/openai.gpt-oss-120b": {
+        "input_cost_per_token": 1.5e-07,
+        "output_cost_per_token": 6e-07,
+        "litellm_provider": "bedrock_mantle",
+        "max_input_tokens": 131072,
+        "max_output_tokens": 32768,
+        "max_tokens": 32768,
+        "mode": "chat",
+        "supports_function_calling": true,
+        "supports_parallel_function_calling": true,
+        "supports_reasoning": true,
+        "supports_response_schema": true,
+        "supports_tool_choice": true
+    },
+    "bedrock_mantle/openai.gpt-oss-20b": {
+        "input_cost_per_token": 7.5e-08,
+        "output_cost_per_token": 3e-07,
+        "litellm_provider": "bedrock_mantle",
+        "max_input_tokens": 131072,
+        "max_output_tokens": 32768,
+        "max_tokens": 32768,
+        "mode": "chat",
+        "supports_function_calling": true,
+        "supports_parallel_function_calling": true,
+        "supports_reasoning": true,
+        "supports_response_schema": true,
+        "supports_tool_choice": true
+    },
+    "bedrock_mantle/openai.gpt-oss-safeguard-120b": {
+        "input_cost_per_token": 1.5e-07,
+        "output_cost_per_token": 6e-07,
+        "litellm_provider": "bedrock_mantle",
+        "max_input_tokens": 131072,
+        "max_output_tokens": 65536,
+        "max_tokens": 65536,
+        "mode": "chat",
+        "supports_function_calling": true,
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+    "bedrock_mantle/openai.gpt-oss-safeguard-20b": {
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+        "output_cost_per_token": 3e-07,
+        "litellm_provider": "bedrock_mantle",
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+    },
+    "volcengine/doubao-seed-2-0-pro-260215": {
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+        "max_input_tokens": 256000,
+        "max_output_tokens": 128000,
+        "max_tokens": 128000,
+        "mode": "chat",
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+                    32000.0
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+                    128000.0
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+                    256000.0
+                ]
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+        "max_tokens": 128000,
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+                    256000.0
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+    "volcengine/doubao-seed-2-0-mini-260215": {
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+        "max_output_tokens": 128000,
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+        "mode": "chat",
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+                    32000.0
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+                    128000.0
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+                "range": [
+                    128000.0,
+                    256000.0
+                ]
+            }
+        ]
+    },
+    "volcengine/doubao-seed-2-0-code-preview-260215": {
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+        "max_output_tokens": 128000,
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+                    32000.0
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+                    128000.0
+                ]
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+                "output_cost_per_token": 7e-06,
+                "range": [
+                    128000.0,
+                    256000.0
+                ]
+            }
+        ]
+    },
+    "bedrock/us-gov-east-1/anthropic.claude-haiku-4-5-20251001-v1:0": {
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+        "cache_read_input_token_cost": 1.2e-07,
+        "input_cost_per_token": 1.2e-06,
+        "litellm_provider": "bedrock",
+        "max_input_tokens": 200000,
+        "max_output_tokens": 64000,
+        "max_tokens": 64000,
+        "mode": "chat",
+        "output_cost_per_token": 6e-06,
+        "source": "https://aws.amazon.com/about-aws/whats-new/2025/10/claude-4-5-haiku-anthropic-amazon-bedrock",
+        "supports_assistant_prefill": true,
+        "supports_computer_use": true,
+        "supports_function_calling": true,
+        "supports_prompt_caching": true,
+        "supports_reasoning": true,
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+        "supports_tool_choice": true,
+        "supports_vision": true,
+        "tool_use_system_prompt_tokens": 346,
+        "supports_native_structured_output": true,
+        "supports_pdf_input": true
+    },
+    "bedrock/us-gov-west-1/anthropic.claude-haiku-4-5-20251001-v1:0": {
+        "cache_creation_input_token_cost": 1.5e-06,
+        "cache_read_input_token_cost": 1.2e-07,
+        "input_cost_per_token": 1.2e-06,
+        "litellm_provider": "bedrock",
+        "max_input_tokens": 200000,
+        "max_output_tokens": 64000,
+        "max_tokens": 64000,
+        "mode": "chat",
+        "output_cost_per_token": 6e-06,
+        "source": "https://aws.amazon.com/about-aws/whats-new/2025/10/claude-4-5-haiku-anthropic-amazon-bedrock",
+        "supports_assistant_prefill": true,
+        "supports_computer_use": true,
+        "supports_function_calling": true,
+        "supports_prompt_caching": true,
+        "supports_reasoning": true,
+        "supports_response_schema": true,
+        "supports_tool_choice": true,
+        "supports_vision": true,
+        "tool_use_system_prompt_tokens": 346,
+        "supports_native_structured_output": true,
+        "supports_pdf_input": true
     }
 }
diff --git a/model_prices_and_context_window.json b/model_prices_and_context_window.json
index 95d8ba2ff60..e541273479e 100644
--- a/model_prices_and_context_window.json
+++ b/model_prices_and_context_window.json
@@ -991,7 +991,9 @@
         "supports_response_schema": true,
         "supports_tool_choice": true,
         "supports_vision": true,
-        "tool_use_system_prompt_tokens": 346
+        "tool_use_system_prompt_tokens": 346,
+        "supports_native_structured_output": true,
+        "supports_max_reasoning_effort": true
     },
     "global.anthropic.claude-opus-4-6-v1": {
         "cache_creation_input_token_cost": 6.25e-06,
@@ -1021,7 +1023,9 @@
         "supports_response_schema": true,
         "supports_tool_choice": true,
         "supports_vision": true,
-        "tool_use_system_prompt_tokens": 346
+        "tool_use_system_prompt_tokens": 346,
+        "supports_native_structured_output": true,
+        "supports_max_reasoning_effort": true
     },
     "us.anthropic.claude-opus-4-6-v1": {
         "cache_creation_input_token_cost": 6.875e-06,
@@ -1051,7 +1055,9 @@
         "supports_response_schema": true,
         "supports_tool_choice": true,
         "supports_vision": true,
-        "tool_use_system_prompt_tokens": 346
+        "tool_use_system_prompt_tokens": 346,
+        "supports_native_structured_output": true,
+        "supports_max_reasoning_effort": true
     },
     "eu.anthropic.claude-opus-4-6-v1": {
         "cache_creation_input_token_cost": 6.875e-06,
@@ -1081,7 +1087,9 @@
         "supports_response_schema": true,
         "supports_tool_choice": true,
         "supports_vision": true,
-        "tool_use_system_prompt_tokens": 346
+        "tool_use_system_prompt_tokens": 346,
+        "supports_native_structured_output": true,
+        "supports_max_reasoning_effort": true
     },
     "apac.anthropic.claude-opus-4-6-v1": {
         "cache_creation_input_token_cost": 6.875e-06,
@@ -1111,7 +1119,284 @@
         "supports_response_schema": true,
         "supports_tool_choice": true,
         "supports_vision": true,
-        "tool_use_system_prompt_tokens": 346
+        "tool_use_system_prompt_tokens": 346,
+        "supports_native_structured_output": true,
+        "supports_max_reasoning_effort": true
+    },
+    "anthropic.claude-opus-4-7": {
+        "cache_creation_input_token_cost": 6.25e-06,
+        "cache_read_input_token_cost": 5e-07,
+        "input_cost_per_token": 5e-06,
+        "litellm_provider": "bedrock_converse",
+        "max_input_tokens": 1000000,
+        "max_output_tokens": 128000,
+        "max_tokens": 128000,
+        "mode": "chat",
+        "output_cost_per_token": 2.5e-05,
+        "search_context_cost_per_query": {
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+            "search_context_size_low": 0.01,
+            "search_context_size_medium": 0.01
+        },
+        "supports_assistant_prefill": false,
+        "supports_computer_use": true,
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+        "supports_pdf_input": true,
+        "supports_prompt_caching": true,
+        "supports_reasoning": true,
+        "supports_response_schema": true,
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+        "supports_vision": true,
+        "supports_xhigh_reasoning_effort": true,
+        "tool_use_system_prompt_tokens": 346,
+        "supports_native_structured_output": true
+    },
+    "global.anthropic.claude-opus-4-7": {
+        "cache_creation_input_token_cost": 6.25e-06,
+        "cache_read_input_token_cost": 5e-07,
+        "input_cost_per_token": 5e-06,
+        "litellm_provider": "bedrock_converse",
+        "max_input_tokens": 1000000,
+        "max_output_tokens": 128000,
+        "max_tokens": 128000,
+        "mode": "chat",
+        "output_cost_per_token": 2.5e-05,
+        "search_context_cost_per_query": {
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+            "search_context_size_low": 0.01,
+            "search_context_size_medium": 0.01
+        },
+        "supports_assistant_prefill": false,
+        "supports_computer_use": true,
+        "supports_function_calling": true,
+        "supports_pdf_input": true,
+        "supports_prompt_caching": true,
+        "supports_reasoning": true,
+        "supports_response_schema": true,
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+        "supports_xhigh_reasoning_effort": true,
+        "tool_use_system_prompt_tokens": 346,
+        "supports_native_structured_output": true
+    },
+    "us.anthropic.claude-opus-4-7": {
+        "cache_creation_input_token_cost": 6.875e-06,
+        "cache_read_input_token_cost": 5.5e-07,
+        "input_cost_per_token": 5.5e-06,
+        "litellm_provider": "bedrock_converse",
+        "max_input_tokens": 1000000,
+        "max_output_tokens": 128000,
+        "max_tokens": 128000,
+        "mode": "chat",
+        "output_cost_per_token": 2.75e-05,
+        "search_context_cost_per_query": {
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+            "search_context_size_low": 0.01,
+            "search_context_size_medium": 0.01
+        },
+        "supports_assistant_prefill": false,
+        "supports_computer_use": true,
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+        "supports_pdf_input": true,
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+        "supports_reasoning": true,
+        "supports_response_schema": true,
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+        "supports_xhigh_reasoning_effort": true,
+        "tool_use_system_prompt_tokens": 346,
+        "supports_native_structured_output": true
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+    "eu.anthropic.claude-opus-4-7": {
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+        "cache_read_input_token_cost": 5.5e-07,
+        "input_cost_per_token": 5.5e-06,
+        "litellm_provider": "bedrock_converse",
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@@ -1619,6 +1904,35 @@
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@@ -8283,100 +8597,12 @@
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@@ -8407,23 +8633,24 @@
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@@ -8438,23 +8665,24 @@
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@@ -8469,7 +8697,12 @@
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@@ -19681,7 +19914,276 @@
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+        "supported_endpoints": [
+            "/v1/responses",
+            "/v1/batch"
+        ],
+        "supported_modalities": [
+            "text",
+            "image"
+        ],
+        "supported_output_modalities": [
+            "text"
+        ],
+        "supports_function_calling": true,
+        "supports_native_streaming": true,
+        "supports_parallel_function_calling": true,
+        "supports_pdf_input": true,
+        "supports_prompt_caching": true,
+        "supports_reasoning": true,
+        "supports_response_schema": false,
+        "supports_system_messages": true,
+        "supports_tool_choice": true,
+        "supports_service_tier": true,
+        "supports_vision": true,
+        "supports_web_search": true,
+        "supports_none_reasoning_effort": false,
+        "supports_xhigh_reasoning_effort": true,
+        "supports_minimal_reasoning_effort": true
+    },
+    "gpt-5.4-pro-2026-03-05": {
+        "cache_read_input_token_cost": 3e-06,
+        "cache_read_input_token_cost_above_272k_tokens": 6e-06,
+        "input_cost_per_token": 3e-05,
+        "input_cost_per_token_above_272k_tokens": 6e-05,
+        "input_cost_per_token_flex": 1.5e-05,
+        "input_cost_per_token_batches": 1.5e-05,
+        "litellm_provider": "openai",
+        "max_input_tokens": 1050000,
+        "max_output_tokens": 128000,
+        "max_tokens": 128000,
+        "mode": "responses",
+        "output_cost_per_token": 0.00018,
+        "output_cost_per_token_above_272k_tokens": 0.00027,
+        "output_cost_per_token_flex": 9e-05,
+        "output_cost_per_token_batches": 9e-05,
+        "supported_endpoints": [
+            "/v1/responses",
+            "/v1/batch"
+        ],
+        "supported_modalities": [
+            "text",
+            "image"
+        ],
+        "supported_output_modalities": [
+            "text"
+        ],
+        "supports_function_calling": true,
+        "supports_native_streaming": true,
+        "supports_parallel_function_calling": true,
+        "supports_pdf_input": true,
+        "supports_prompt_caching": true,
+        "supports_reasoning": true,
+        "supports_response_schema": false,
+        "supports_system_messages": true,
+        "supports_tool_choice": true,
+        "supports_service_tier": true,
+        "supports_vision": true,
+        "supports_web_search": true,
+        "supports_none_reasoning_effort": false,
+        "supports_xhigh_reasoning_effort": true,
+        "supports_minimal_reasoning_effort": true
+    },
+    "gpt-5.4-mini": {
+        "cache_read_input_token_cost": 7.5e-08,
+        "cache_read_input_token_cost_flex": 3.75e-08,
+        "cache_read_input_token_cost_batches": 3.75e-08,
+        "cache_read_input_token_cost_priority": 1.5e-07,
+        "input_cost_per_token": 7.5e-07,
+        "input_cost_per_token_flex": 3.75e-07,
+        "input_cost_per_token_batches": 3.75e-07,
+        "input_cost_per_token_priority": 1.5e-06,
+        "litellm_provider": "openai",
+        "max_input_tokens": 272000,
+        "max_output_tokens": 128000,
+        "max_tokens": 128000,
+        "mode": "chat",
+        "output_cost_per_token": 4.5e-06,
+        "output_cost_per_token_flex": 2.25e-06,
+        "output_cost_per_token_batches": 2.25e-06,
+        "output_cost_per_token_priority": 9e-06,
+        "supported_endpoints": [
+            "/v1/chat/completions",
+            "/v1/batch",
+            "/v1/responses"
+        ],
+        "supported_modalities": [
+            "text",
+            "image"
+        ],
+        "supported_output_modalities": [
+            "text"
+        ],
+        "supports_function_calling": true,
+        "supports_native_streaming": true,
+        "supports_parallel_function_calling": true,
+        "supports_pdf_input": true,
+        "supports_prompt_caching": true,
+        "supports_reasoning": true,
+        "supports_response_schema": true,
+        "supports_system_messages": true,
+        "supports_tool_choice": true,
+        "supports_service_tier": true,
+        "supports_vision": true,
+        "supports_web_search": true,
+        "supports_none_reasoning_effort": true,
+        "supports_xhigh_reasoning_effort": true,
+        "supports_minimal_reasoning_effort": false
+    },
+    "gpt-5.4-nano": {
+        "cache_read_input_token_cost": 2e-08,
+        "cache_read_input_token_cost_flex": 1e-08,
+        "cache_read_input_token_cost_batches": 1e-08,
+        "input_cost_per_token": 2e-07,
+        "input_cost_per_token_flex": 1e-07,
+        "input_cost_per_token_batches": 1e-07,
+        "litellm_provider": "openai",
+        "max_input_tokens": 272000,
+        "max_output_tokens": 128000,
+        "max_tokens": 128000,
+        "mode": "chat",
+        "output_cost_per_token": 1.25e-06,
+        "output_cost_per_token_flex": 6.25e-07,
+        "output_cost_per_token_batches": 6.25e-07,
+        "supported_endpoints": [
+            "/v1/chat/completions",
+            "/v1/batch",
+            "/v1/responses"
+        ],
+        "supported_modalities": [
+            "text",
+            "image"
+        ],
+        "supported_output_modalities": [
+            "text"
+        ],
+        "supports_function_calling": true,
+        "supports_native_streaming": true,
+        "supports_parallel_function_calling": true,
+        "supports_pdf_input": true,
+        "supports_prompt_caching": true,
+        "supports_reasoning": true,
+        "supports_response_schema": true,
+        "supports_system_messages": true,
+        "supports_tool_choice": true,
+        "supports_service_tier": true,
+        "supports_vision": true,
+        "supports_web_search": true,
+        "supports_none_reasoning_effort": true,
+        "supports_xhigh_reasoning_effort": true,
+        "supports_minimal_reasoning_effort": false
     },
     "gpt-5-pro": {
         "input_cost_per_token": 1.5e-05,
@@ -25972,7 +26474,14 @@
         "supports_web_search": true,
         "supports_reasoning": false
     },
-    "perplexity/google/gemini-2.0-flash-thinking-exp": {
+    "perplexity/anthropic/claude-opus-4-7": {
+        "litellm_provider": "perplexity",
+        "mode": "responses",
+        "supports_web_search": true,
+        "supports_reasoning": false,
+        "supports_function_calling": true
+    },
+    "perplexity/anthropic/claude-opus-4-5": {
         "litellm_provider": "perplexity",
         "mode": "responses",
         "supports_web_search": true,
@@ -30325,7 +30834,6 @@
         "max_tokens": 128000,
         "mode": "chat",
         "output_cost_per_token": 2.5e-05,
-        "output_cost_per_token_above_200k_tokens": 3.75e-05,
         "search_context_cost_per_query": {
             "search_context_size_high": 0.01,
             "search_context_size_low": 0.01,
@@ -30340,6 +30848,88 @@
         "supports_response_schema": true,
         "supports_tool_choice": true,
         "supports_vision": true,
+        "tool_use_system_prompt_tokens": 346,
+        "supports_max_reasoning_effort": true
+    },
+    "vertex_ai/claude-opus-4-6@default": {
+        "cache_creation_input_token_cost": 6.25e-06,
+        "cache_read_input_token_cost": 5e-07,
+        "input_cost_per_token": 5e-06,
+        "litellm_provider": "vertex_ai-anthropic_models",
+        "max_input_tokens": 1000000,
+        "max_output_tokens": 128000,
+        "max_tokens": 128000,
+        "mode": "chat",
+        "output_cost_per_token": 2.5e-05,
+        "search_context_cost_per_query": {
+            "search_context_size_high": 0.01,
+            "search_context_size_low": 0.01,
+            "search_context_size_medium": 0.01
+        },
+        "supports_assistant_prefill": false,
+        "supports_computer_use": true,
+        "supports_function_calling": true,
+        "supports_pdf_input": true,
+        "supports_prompt_caching": true,
+        "supports_reasoning": true,
+        "supports_response_schema": true,
+        "supports_tool_choice": true,
+        "supports_vision": true,
+         "tool_use_system_prompt_tokens": 346,
+        "supports_max_reasoning_effort": true
+    },
+    "vertex_ai/claude-opus-4-7": {
+        "cache_creation_input_token_cost": 6.25e-06,
+        "cache_read_input_token_cost": 5e-07,
+        "input_cost_per_token": 5e-06,
+        "litellm_provider": "vertex_ai-anthropic_models",
+        "max_input_tokens": 1000000,
+        "max_output_tokens": 128000,
+        "max_tokens": 128000,
+        "mode": "chat",
+        "output_cost_per_token": 2.5e-05,
+        "search_context_cost_per_query": {
+            "search_context_size_high": 0.01,
+            "search_context_size_low": 0.01,
+            "search_context_size_medium": 0.01
+        },
+        "supports_assistant_prefill": false,
+        "supports_computer_use": true,
+        "supports_function_calling": true,
+        "supports_pdf_input": true,
+        "supports_prompt_caching": true,
+        "supports_reasoning": true,
+        "supports_response_schema": true,
+        "supports_tool_choice": true,
+        "supports_vision": true,
+        "supports_xhigh_reasoning_effort": true,
+        "tool_use_system_prompt_tokens": 346
+    },
+    "vertex_ai/claude-opus-4-7@default": {
+        "cache_creation_input_token_cost": 6.25e-06,
+        "cache_read_input_token_cost": 5e-07,
+        "input_cost_per_token": 5e-06,
+        "litellm_provider": "vertex_ai-anthropic_models",
+        "max_input_tokens": 1000000,
+        "max_output_tokens": 128000,
+        "max_tokens": 128000,
+        "mode": "chat",
+        "output_cost_per_token": 2.5e-05,
+        "search_context_cost_per_query": {
+            "search_context_size_high": 0.01,
+            "search_context_size_low": 0.01,
+            "search_context_size_medium": 0.01
+        },
+        "supports_assistant_prefill": false,
+        "supports_computer_use": true,
+        "supports_function_calling": true,
+        "supports_pdf_input": true,
+        "supports_prompt_caching": true,
+        "supports_reasoning": true,
+        "supports_response_schema": true,
+        "supports_tool_choice": true,
+        "supports_vision": true,
+        "supports_xhigh_reasoning_effort": true,
         "tool_use_system_prompt_tokens": 346
     },
     "vertex_ai/claude-sonnet-4-5": {
@@ -36938,5 +37528,291 @@
         "supports_vision": true,
         "supports_web_search": true,
         "tpm": 8000000
+    },
+    "vertex_ai/claude-sonnet-4-6@default": {
+        "cache_creation_input_token_cost": 3.75e-06,
+        "cache_read_input_token_cost": 3e-07,
+        "input_cost_per_token": 3e-06,
+        "litellm_provider": "vertex_ai-anthropic_models",
+        "max_input_tokens": 1000000,
+        "max_output_tokens": 64000,
+        "max_tokens": 64000,
+        "mode": "chat",
+        "output_cost_per_token": 1.5e-05,
+        "supports_assistant_prefill": true,
+        "supports_computer_use": true,
+        "supports_function_calling": true,
+        "supports_pdf_input": true,
+        "supports_prompt_caching": true,
+        "supports_reasoning": true,
+        "supports_response_schema": true,
+        "supports_tool_choice": true,
+        "supports_vision": true,
+        "tool_use_system_prompt_tokens": 346,
+        "search_context_cost_per_query": {
+            "search_context_size_high": 0.01,
+            "search_context_size_low": 0.01,
+            "search_context_size_medium": 0.01
+        }
+    },
+    "duckduckgo/search": {
+        "litellm_provider": "duckduckgo",
+        "mode": "search",
+        "input_cost_per_query": 0.0,
+        "metadata": {
+            "notes": "DuckDuckGo Instant Answer API is free and does not require an API key."
+        }
+    },
+    "bedrock_mantle/openai.gpt-oss-120b": {
+        "input_cost_per_token": 1.5e-07,
+        "output_cost_per_token": 6e-07,
+        "litellm_provider": "bedrock_mantle",
+        "max_input_tokens": 131072,
+        "max_output_tokens": 32768,
+        "max_tokens": 32768,
+        "mode": "chat",
+        "supports_function_calling": true,
+        "supports_parallel_function_calling": true,
+        "supports_reasoning": true,
+        "supports_response_schema": true,
+        "supports_tool_choice": true
+    },
+    "bedrock_mantle/openai.gpt-oss-20b": {
+        "input_cost_per_token": 7.5e-08,
+        "output_cost_per_token": 3e-07,
+        "litellm_provider": "bedrock_mantle",
+        "max_input_tokens": 131072,
+        "max_output_tokens": 32768,
+        "max_tokens": 32768,
+        "mode": "chat",
+        "supports_function_calling": true,
+        "supports_parallel_function_calling": true,
+        "supports_reasoning": true,
+        "supports_response_schema": true,
+        "supports_tool_choice": true
+    },
+    "bedrock_mantle/openai.gpt-oss-safeguard-120b": {
+        "input_cost_per_token": 1.5e-07,
+        "output_cost_per_token": 6e-07,
+        "litellm_provider": "bedrock_mantle",
+        "max_input_tokens": 131072,
+        "max_output_tokens": 65536,
+        "max_tokens": 65536,
+        "mode": "chat",
+        "supports_function_calling": true,
+        "supports_reasoning": true,
+        "supports_response_schema": true,
+        "supports_tool_choice": true
+    },
+    "bedrock_mantle/openai.gpt-oss-safeguard-20b": {
+        "input_cost_per_token": 7.5e-08,
+        "output_cost_per_token": 3e-07,
+        "litellm_provider": "bedrock_mantle",
+        "max_input_tokens": 131072,
+        "max_output_tokens": 65536,
+        "max_tokens": 65536,
+        "mode": "chat",
+        "supports_function_calling": true,
+        "supports_reasoning": true,
+        "supports_response_schema": true,
+        "supports_tool_choice": true
+    },
+    "volcengine/doubao-seed-2-0-pro-260215": {
+        "litellm_provider": "volcengine",
+        "max_input_tokens": 256000,
+        "max_output_tokens": 128000,
+        "max_tokens": 128000,
+        "mode": "chat",
+        "source": "https://www.volcengine.com/docs/82379/1330310",
+        "supports_function_calling": true,
+        "supports_reasoning": true,
+        "supports_tool_choice": false,
+        "supports_vision": true,
+        "tiered_pricing": [
+            {
+                "input_cost_per_token": 4.6e-07,
+                "output_cost_per_token": 2.3e-06,
+                "range": [
+                    0,
+                    32000.0
+                ]
+            },
+            {
+                "input_cost_per_token": 7e-07,
+                "output_cost_per_token": 3.5e-06,
+                "range": [
+                    32000.0,
+                    128000.0
+                ]
+            },
+            {
+                "input_cost_per_token": 1.4e-06,
+                "output_cost_per_token": 7e-06,
+                "range": [
+                    128000.0,
+                    256000.0
+                ]
+            }
+        ]
+    },
+    "volcengine/doubao-seed-2-0-lite-260215": {
+        "litellm_provider": "volcengine",
+        "max_input_tokens": 256000,
+        "max_output_tokens": 128000,
+        "max_tokens": 128000,
+        "mode": "chat",
+        "source": "https://www.volcengine.com/docs/82379/1330310",
+        "supports_function_calling": true,
+        "supports_reasoning": true,
+        "supports_tool_choice": false,
+        "supports_vision": true,
+        "tiered_pricing": [
+            {
+                "input_cost_per_token": 8.7e-08,
+                "output_cost_per_token": 5.2e-07,
+                "range": [
+                    0,
+                    32000.0
+                ]
+            },
+            {
+                "input_cost_per_token": 1.3e-07,
+                "output_cost_per_token": 7.8e-07,
+                "range": [
+                    32000.0,
+                    128000.0
+                ]
+            },
+            {
+                "input_cost_per_token": 2.6e-07,
+                "output_cost_per_token": 1.6e-06,
+                "range": [
+                    128000.0,
+                    256000.0
+                ]
+            }
+        ]
+    },
+    "volcengine/doubao-seed-2-0-mini-260215": {
+        "litellm_provider": "volcengine",
+        "max_input_tokens": 256000,
+        "max_output_tokens": 128000,
+        "max_tokens": 128000,
+        "mode": "chat",
+        "source": "https://www.volcengine.com/docs/82379/1330310",
+        "supports_function_calling": true,
+        "supports_reasoning": true,
+        "supports_tool_choice": false,
+        "supports_vision": true,
+        "tiered_pricing": [
+            {
+                "input_cost_per_token": 2.9e-08,
+                "output_cost_per_token": 2.9e-07,
+                "range": [
+                    0,
+                    32000.0
+                ]
+            },
+            {
+                "input_cost_per_token": 5.8e-08,
+                "output_cost_per_token": 5.8e-07,
+                "range": [
+                    32000.0,
+                    128000.0
+                ]
+            },
+            {
+                "input_cost_per_token": 1.2e-07,
+                "output_cost_per_token": 1.2e-06,
+                "range": [
+                    128000.0,
+                    256000.0
+                ]
+            }
+        ]
+    },
+    "volcengine/doubao-seed-2-0-code-preview-260215": {
+        "litellm_provider": "volcengine",
+        "max_input_tokens": 256000,
+        "max_output_tokens": 128000,
+        "max_tokens": 128000,
+        "mode": "chat",
+        "source": "https://www.volcengine.com/docs/82379/1330310",
+        "supports_function_calling": true,
+        "supports_reasoning": true,
+        "supports_tool_choice": false,
+        "supports_vision": true,
+        "tiered_pricing": [
+            {
+                "input_cost_per_token": 4.6e-07,
+                "output_cost_per_token": 2.3e-06,
+                "range": [
+                    0,
+                    32000.0
+                ]
+            },
+            {
+                "input_cost_per_token": 7e-07,
+                "output_cost_per_token": 3.5e-06,
+                "range": [
+                    32000.0,
+                    128000.0
+                ]
+            },
+            {
+                "input_cost_per_token": 1.4e-06,
+                "output_cost_per_token": 7e-06,
+                "range": [
+                    128000.0,
+                    256000.0
+                ]
+            }
+        ]
+    },
+    "bedrock/us-gov-east-1/anthropic.claude-haiku-4-5-20251001-v1:0": {
+        "cache_creation_input_token_cost": 1.5e-06,
+        "cache_read_input_token_cost": 1.2e-07,
+        "input_cost_per_token": 1.2e-06,
+        "litellm_provider": "bedrock",
+        "max_input_tokens": 200000,
+        "max_output_tokens": 64000,
+        "max_tokens": 64000,
+        "mode": "chat",
+        "output_cost_per_token": 6e-06,
+        "source": "https://aws.amazon.com/about-aws/whats-new/2025/10/claude-4-5-haiku-anthropic-amazon-bedrock",
+        "supports_assistant_prefill": true,
+        "supports_computer_use": true,
+        "supports_function_calling": true,
+        "supports_prompt_caching": true,
+        "supports_reasoning": true,
+        "supports_response_schema": true,
+        "supports_tool_choice": true,
+        "supports_vision": true,
+        "tool_use_system_prompt_tokens": 346,
+        "supports_native_structured_output": true,
+        "supports_pdf_input": true
+    },
+    "bedrock/us-gov-west-1/anthropic.claude-haiku-4-5-20251001-v1:0": {
+        "cache_creation_input_token_cost": 1.5e-06,
+        "cache_read_input_token_cost": 1.2e-07,
+        "input_cost_per_token": 1.2e-06,
+        "litellm_provider": "bedrock",
+        "max_input_tokens": 200000,
+        "max_output_tokens": 64000,
+        "max_tokens": 64000,
+        "mode": "chat",
+        "output_cost_per_token": 6e-06,
+        "source": "https://aws.amazon.com/about-aws/whats-new/2025/10/claude-4-5-haiku-anthropic-amazon-bedrock",
+        "supports_assistant_prefill": true,
+        "supports_computer_use": true,
+        "supports_function_calling": true,
+        "supports_prompt_caching": true,
+        "supports_reasoning": true,
+        "supports_response_schema": true,
+        "supports_tool_choice": true,
+        "supports_vision": true,
+        "tool_use_system_prompt_tokens": 346,
+        "supports_native_structured_output": true,
+        "supports_pdf_input": true
     }
 }
diff --git a/tests/test_litellm/llms/bedrock/messages/invoke_transformations/test_anthropic_claude3_transformation.py b/tests/test_litellm/llms/bedrock/messages/invoke_transformations/test_anthropic_claude3_transformation.py
index a4da4ebb683..4689f0a5161 100644
--- a/tests/test_litellm/llms/bedrock/messages/invoke_transformations/test_anthropic_claude3_transformation.py
+++ b/tests/test_litellm/llms/bedrock/messages/invoke_transformations/test_anthropic_claude3_transformation.py
@@ -11,6 +11,12 @@ import pytest
 sys.path.insert(0, os.path.abspath("../../../../../.."))
 
 from litellm.litellm_core_utils.litellm_logging import Logging as LiteLLMLoggingObj
+from litellm.llms.bedrock.common_utils import (
+    ensure_bedrock_anthropic_messages_tool_names,
+    normalize_tool_input_schema_types_for_bedrock_invoke,
+    remove_custom_field_from_tools,
+)
+from litellm.constants import BEDROCK_MIN_THINKING_BUDGET_TOKENS
 from litellm.llms.bedrock.messages.invoke_transformations.anthropic_claude3_transformation import (
     AmazonAnthropicClaudeMessagesConfig,
     AmazonAnthropicClaudeMessagesStreamDecoder,
@@ -178,3 +184,467 @@ def test_remove_ttl_from_cache_control():
     request5 = {}
     cfg._remove_ttl_from_cache_control(request5)
     assert request5 == {}
+
+
+def test_remove_custom_field_from_tools():
+    """
+    Ensure the `custom` field is stripped from every tool definition.
+
+    Claude Code v2.1.69+ sends `custom: {defer_loading: true}` on tool
+    objects.  Bedrock does not accept this extra field and returns
+    "Extra inputs are not permitted".
+
+    Ref: https://github.com/BerriAI/litellm/issues/22847
+    """
+
+    # Case 1: tool with `custom` field should have it removed
+    request = {
+        "tools": [
+            {
+                "name": "Read",
+                "description": "Read a file",
+                "input_schema": {"type": "object", "properties": {}},
+                "custom": {"defer_loading": True},
+            },
+            {
+                "name": "Write",
+                "description": "Write a file",
+                "input_schema": {"type": "object", "properties": {}},
+            },
+        ]
+    }
+
+    remove_custom_field_from_tools(request)
+
+    for tool in request["tools"]:
+        assert "custom" not in tool, f"Tool {tool['name']} still has 'custom' field"
+    # Other fields should be preserved
+    assert request["tools"][0]["name"] == "Read"
+    assert request["tools"][1]["name"] == "Write"
+
+    # Case 2: request without tools key (should not raise error)
+    request2 = {"messages": [{"role": "user", "content": "hi"}]}
+    remove_custom_field_from_tools(request2)
+    assert "tools" not in request2
+
+    # Case 3: empty tools list (should not raise error)
+    request3 = {"tools": []}
+    remove_custom_field_from_tools(request3)
+    assert request3["tools"] == []
+
+    # Case 4: tools with None value (should not raise error)
+    request4 = {"tools": None}
+    remove_custom_field_from_tools(request4)
+    assert request4["tools"] is None
+
+
+def test_normalize_tool_input_schema_types_for_bedrock_invoke():
+    """
+    Claude Code sends ``input_schema.type: \"custom\"`` for custom tools.
+    Bedrock Invoke rejects this; it requires JSON Schema ``type: \"object\"``.
+    """
+
+    request = {
+        "tools": [
+            {
+                "name": "Agent",
+                "type": "custom",
+                "description": "subagent",
+                "input_schema": {
+                    "type": "custom",
+                    "additionalProperties": False,
+                    "properties": {
+                        "nested": {"type": "custom", "properties": {"x": {"type": "string"}}}
+                    },
+                    "required": ["nested"],
+                },
+            },
+            {
+                "name": "Read",
+                "input_schema": {"type": "object", "properties": {}},
+            },
+        ]
+    }
+
+    normalize_tool_input_schema_types_for_bedrock_invoke(request)
+
+    agent_tool = request["tools"][0]
+    assert agent_tool["type"] == "custom"
+    assert agent_tool["input_schema"]["type"] == "object"
+    assert agent_tool["input_schema"]["properties"]["nested"]["type"] == "object"
+    assert request["tools"][1]["input_schema"]["type"] == "object"
+
+    request2 = {"messages": []}
+    normalize_tool_input_schema_types_for_bedrock_invoke(request2)
+    assert request2 == {"messages": []}
+
+
+def test_ensure_bedrock_anthropic_messages_tool_names():
+    request = {
+        "tools": [
+            {"input_schema": {"type": "object", "properties": {}}},
+            {"name": "", "input_schema": {"type": "object", "properties": {}}},
+            {"name": "  ", "input_schema": {"type": "object", "properties": {}}},
+            {"name": "KeepMe", "input_schema": {"type": "object", "properties": {}}},
+        ]
+    }
+    ensure_bedrock_anthropic_messages_tool_names(request)
+    assert request["tools"][0]["name"] == "litellm_unnamed_tool_0"
+    assert request["tools"][1]["name"] == "litellm_unnamed_tool_1"
+    assert request["tools"][2]["name"] == "litellm_unnamed_tool_2"
+    assert request["tools"][3]["name"] == "KeepMe"
+
+
+def test_bedrock_invoke_messages_transform_adds_name_when_tool_missing_name():
+    """Bedrock requires tools.0.custom.name when the payload is schema-only."""
+    from litellm.types.router import GenericLiteLLMParams
+
+    cfg = AmazonAnthropicClaudeMessagesConfig()
+    optional_params = {
+        "max_tokens": 128,
+        "tools": [
+            {
+                "input_schema": {
+                    "type": "object",
+                    "properties": {"questions": {"type": "array"}},
+                    "required": ["questions"],
+                },
+            }
+        ],
+        "stream": False,
+    }
+    result = cfg.transform_anthropic_messages_request(
+        model="anthropic.claude-3-haiku-20240307-v1:0",
+        messages=[{"role": "user", "content": "hi"}],
+        anthropic_messages_optional_request_params=copy.deepcopy(optional_params),
+        litellm_params=GenericLiteLLMParams(),
+        headers={},
+    )
+    assert result["tools"][0]["name"] == "litellm_unnamed_tool_0"
+
+
+def test_bedrock_invoke_messages_injects_thinking_for_clear_thinking_context_management():
+    """
+    Bedrock requires extended thinking when ``clear_thinking_20251015`` appears in
+    ``context_management`` (Claude Code sends CM without ``thinking``).
+    """
+    from litellm.types.router import GenericLiteLLMParams
+
+    cfg = AmazonAnthropicClaudeMessagesConfig()
+    optional_params = {
+        "max_tokens": 32000,
+        "stream": False,
+        "context_management": {
+            "edits": [{"type": "clear_thinking_20251015", "keep": "all"}]
+        },
+    }
+    result = cfg.transform_anthropic_messages_request(
+        model="global.anthropic.claude-sonnet-4-6-v1:0",
+        messages=[{"role": "user", "content": "hi"}],
+        anthropic_messages_optional_request_params=copy.deepcopy(optional_params),
+        litellm_params=GenericLiteLLMParams(),
+        headers={},
+    )
+    assert result["thinking"]["type"] == "enabled"
+    assert result["thinking"]["budget_tokens"] == BEDROCK_MIN_THINKING_BUDGET_TOKENS
+    betas = result.get("anthropic_beta") or []
+    assert "interleaved-thinking-2025-05-14" in betas
+
+
+def test_bedrock_invoke_messages_skips_thinking_injection_when_already_enabled():
+    from litellm.types.router import GenericLiteLLMParams
+
+    cfg = AmazonAnthropicClaudeMessagesConfig()
+    optional_params = {
+        "max_tokens": 32000,
+        "stream": False,
+        "thinking": {"type": "enabled", "budget_tokens": 2048},
+        "context_management": {
+            "edits": [{"type": "clear_thinking_20251015", "keep": "all"}]
+        },
+    }
+    result = cfg.transform_anthropic_messages_request(
+        model="global.anthropic.claude-sonnet-4-6-v1:0",
+        messages=[{"role": "user", "content": "hi"}],
+        anthropic_messages_optional_request_params=copy.deepcopy(optional_params),
+        litellm_params=GenericLiteLLMParams(),
+        headers={},
+    )
+    # Claude 4.6/4.7 reject ``thinking.type=enabled``; legacy ``enabled`` is
+    # translated to ``adaptive`` (budget_tokens => output_config.effort) and the
+    # pre-4.6 ``interleaved-thinking-2025-05-14`` beta must not be attached.
+    assert result["thinking"]["type"] == "adaptive"
+    betas = result.get("anthropic_beta") or []
+    assert "interleaved-thinking-2025-05-14" not in betas
+
+
+def test_bedrock_invoke_messages_transform_converts_custom_tool_schema_type_to_object():
+    """
+    End-to-end: AmazonAnthropicClaudeMessagesConfig must emit Bedrock Invoke bodies
+    where every ``input_schema`` uses JSON Schema types (``object``), not Anthropic
+    ``type: \"custom\"`` (root and nested).
+    """
+    from litellm.types.router import GenericLiteLLMParams
+
+    cfg = AmazonAnthropicClaudeMessagesConfig()
+    tools = [
+        {
+            "name": "Agent",
+            "type": "custom",
+            "description": "Subagent",
+            "input_schema": {
+                "type": "custom",
+                "additionalProperties": False,
+                "properties": {
+                    "prompt": {"type": "string"},
+                    "nested": {
+                        "type": "custom",
+                        "properties": {"x": {"type": "string"}},
+                        "required": ["x"],
+                    },
+                },
+                "required": ["prompt"],
+            },
+        }
+    ]
+    optional_params = {
+        "max_tokens": 256,
+        "tools": copy.deepcopy(tools),
+        "stream": False,
+    }
+    messages = [{"role": "user", "content": "hi"}]
+
+    result = cfg.transform_anthropic_messages_request(
+        model="anthropic.claude-3-haiku-20240307-v1:0",
+        messages=messages,
+        anthropic_messages_optional_request_params=optional_params,
+        litellm_params=GenericLiteLLMParams(),
+        headers={},
+    )
+
+    assert "tools" in result
+    schema = result["tools"][0]["input_schema"]
+    assert schema["type"] == "object"
+    assert schema["properties"]["nested"]["type"] == "object"
+    # Tool discriminator stays Anthropic-side; only input_schema is normalized
+    assert result["tools"][0]["type"] == "custom"
+
+
+def test_remove_scope_from_cache_control():
+    """Ensure scope field is removed from cache_control for Bedrock (not supported)."""
+
+    cfg = AmazonAnthropicClaudeMessagesConfig()
+
+    # Test case 1: System with cache_control containing scope
+    request = {
+        "system": [
+            {
+                "type": "text",
+                "text": "You are an AI assistant.",
+                "cache_control": {
+                    "type": "ephemeral",
+                    "scope": "global",
+                },
+            }
+        ],
+        "messages": [
+            {
+                "role": "user",
+                "content": [
+                    {
+                        "type": "text",
+                        "text": "Hello",
+                        "cache_control": {
+                            "type": "ephemeral",
+                            "scope": "global",
+                        },
+                    }
+                ],
+            }
+        ],
+    }
+
+    cfg._remove_ttl_from_cache_control(request)
+
+    # Verify scope is removed from system
+    assert "scope" not in request["system"][0]["cache_control"]
+    assert request["system"][0]["cache_control"]["type"] == "ephemeral"
+
+    # Verify scope is removed from messages
+    assert "scope" not in request["messages"][0]["content"][0]["cache_control"]
+    assert request["messages"][0]["content"][0]["cache_control"]["type"] == "ephemeral"
+
+
+def test_bedrock_messages_strips_output_config():
+    """
+    Ensure output_config is stripped from the request before sending to
+    Bedrock Invoke, which doesn't support this Anthropic-specific parameter.
+
+    Regression test for: https://github.com/BerriAI/litellm/issues/22797
+    """
+    from litellm.types.router import GenericLiteLLMParams
+
+    cfg = AmazonAnthropicClaudeMessagesConfig()
+    messages = [{"role": "user", "content": [{"type": "text", "text": "Hello"}]}]
+    optional_params = {
+        "max_tokens": 4096,
+        "output_config": {
+            "effort": "high",
+        },
+    }
+
+    result = cfg.transform_anthropic_messages_request(
+        model="anthropic.claude-3-haiku-20240307-v1:0",
+        messages=messages,
+        anthropic_messages_optional_request_params=optional_params,
+        litellm_params=GenericLiteLLMParams(),
+        headers={},
+    )
+
+    assert (
+        "output_config" not in result
+    ), "output_config should be stripped — Bedrock Invoke rejects it"
+    # Other params should be preserved
+    assert result.get("max_tokens") == 4096
+
+
+def test_bedrock_messages_strips_output_config_with_output_format():
+    """
+    When both output_config and output_format are present, both should be
+    stripped (output_format is converted to inline schema, output_config
+    is simply dropped).
+    """
+    from litellm.types.router import GenericLiteLLMParams
+
+    cfg = AmazonAnthropicClaudeMessagesConfig()
+    messages = [{"role": "user", "content": [{"type": "text", "text": "Hello"}]}]
+    optional_params = {
+        "max_tokens": 4096,
+        "output_config": {"effort": "low"},
+        "output_format": {
+            "type": "json_schema",
+            "schema": {
+                "type": "object",
+                "properties": {"answer": {"type": "string"}},
+            },
+        },
+    }
+
+    result = cfg.transform_anthropic_messages_request(
+        model="anthropic.claude-3-haiku-20240307-v1:0",
+        messages=messages,
+        anthropic_messages_optional_request_params=optional_params,
+        litellm_params=GenericLiteLLMParams(),
+        headers={},
+    )
+
+    assert "output_config" not in result
+    assert "output_format" not in result
+
+
+@pytest.mark.asyncio
+async def test_promote_message_stop_usage_preserves_message_delta_output_tokens():
+    """
+    Bedrock unified /messages streaming can send full usage on message_delta and a
+    conflicting smaller usage on message_stop (e.g. output_tokens 9 vs 12).
+    _promote_message_stop_usage must not replace message_delta output_tokens.
+    """
+    cfg = AmazonAnthropicClaudeMessagesConfig()
+
+    async def _stream():  # type: ignore[return-type]
+        yield {
+            "type": "message_delta",
+            "delta": {"stop_reason": "end_turn", "stop_sequence": None},
+            "usage": {
+                "input_tokens": 3,
+                "cache_creation_input_tokens": 10553,
+                "cache_read_input_tokens": 25490,
+                "output_tokens": 12,
+            },
+        }
+        yield {
+            "type": "message_stop",
+            "usage": {"input_tokens": 3, "output_tokens": 9},
+        }
+
+    merged: list[dict] = []
+    async for chunk in cfg._promote_message_stop_usage(_stream()):
+        if isinstance(chunk, dict):
+            merged.append(chunk)
+
+    assert len(merged) >= 1
+    delta_out = merged[0]
+    assert delta_out["type"] == "message_delta"
+    assert delta_out["usage"]["output_tokens"] == 12
+    assert delta_out["usage"]["cache_creation_input_tokens"] == 10553
+    assert delta_out["usage"]["cache_read_input_tokens"] == 25490
+    assert delta_out["usage"]["input_tokens"] == 3
+
+
+@pytest.mark.asyncio
+async def test_unified_bedrock_messages_sse_usage_and_cost_claude_sonnet_46():
+    """
+    End-to-end for Bedrock Invoke Anthropic Messages (unified) streaming path:
+    dict chunks -> _promote_message_stop_usage -> bedrock_sse_wrapper SSE bytes ->
+    same logging reconstruction as Anthropic /messages. Ensures token counts and
+    completion_cost match model_prices for us.anthropic.claude-sonnet-4-6.
+    """
+    from litellm import completion_cost
+    from litellm.proxy.pass_through_endpoints.llm_provider_handlers.anthropic_passthrough_logging_handler import (
+        AnthropicPassthroughLoggingHandler,
+    )
+
+    cfg = AmazonAnthropicClaudeMessagesConfig()
+
+    async def _stream():  # type: ignore[return-type]
+        yield {
+            "type": "message_delta",
+            "delta": {"stop_reason": "end_turn", "stop_sequence": None},
+            "usage": {
+                "input_tokens": 3,
+                "cache_creation_input_tokens": 10553,
+                "cache_read_input_tokens": 25490,
+                "output_tokens": 12,
+            },
+        }
+        yield {
+            "type": "message_stop",
+            "usage": {"input_tokens": 3, "output_tokens": 9},
+        }
+
+    logging_obj = LiteLLMLoggingObj(
+        model="bedrock/us.anthropic.claude-sonnet-4-6",
+        messages=[{"role": "user", "content": "Hello"}],
+        stream=True,
+        call_type="chat",
+        start_time=datetime.now(),
+        litellm_call_id="test_unified_bedrock_messages_sse_cost",
+        function_id="test_unified_bedrock_messages_sse_cost",
+    )
+
+    collected: list[bytes] = []
+    async for sse in cfg.bedrock_sse_wrapper(
+        completion_stream=_stream(),
+        litellm_logging_obj=logging_obj,
+        request_body={"model": "us.anthropic.claude-sonnet-4-6"},
+    ):
+        collected.append(sse)
+
+    built = AnthropicPassthroughLoggingHandler._build_complete_streaming_response(
+        all_chunks=collected,
+        model="us.anthropic.claude-sonnet-4-6",
+        litellm_logging_obj=Mock(),
+    )
+    assert built.usage is not None
+    assert built.usage.completion_tokens == 12
+    assert built.usage.prompt_tokens == 36046
+    assert built.usage.total_tokens == 36058
+    assert built.usage.cache_creation_input_tokens == 10553
+    assert built.usage.cache_read_input_tokens == 25490
+
+    cost = completion_cost(
+        completion_response=built,
+        model="bedrock/us.anthropic.claude-sonnet-4-6",
+        custom_llm_provider="bedrock",
+    )
+    assert cost == pytest.approx(0.052150725, rel=0, abs=1e-9)
diff --git a/tests/test_litellm/test_utils.py b/tests/test_litellm/test_utils.py
index 7374a605798..c9d89192db9 100644
--- a/tests/test_litellm/test_utils.py
+++ b/tests/test_litellm/test_utils.py
@@ -660,6 +660,10 @@ def test_aaamodel_prices_and_context_window_json_is_valid():
                 "supports_web_search": {"type": "boolean"},
                 "supports_url_context": {"type": "boolean"},
                 "supports_reasoning": {"type": "boolean"},
+                "supports_minimal_reasoning_effort": {"type": "boolean"},
+                "supports_none_reasoning_effort": {"type": "boolean"},
+                "supports_xhigh_reasoning_effort": {"type": "boolean"},
+                "supports_max_reasoning_effort": {"type": "boolean"},
                 "supports_service_tier": {"type": "boolean"},
                 "supports_preset": {"type": "boolean"},
                 "tool_use_system_prompt_tokens": {"type": "number"},