diff --git a/.github/workflows/python-build-test.yml b/.github/workflows/python-build-test.yml
index 00f0950c7..ea8e6a66a 100644
--- a/.github/workflows/python-build-test.yml
+++ b/.github/workflows/python-build-test.yml
@@ -24,7 +24,7 @@ jobs:
       uses: actions/checkout@08c6903cd8c0fde910a37f88322edcfb5dd907a8 # v5.0.0
 
     - name: Install uv
-      uses: astral-sh/setup-uv@557e51de59eb14aaaba2ed9621916900a91d50c6 # v6.6.1
+      uses: astral-sh/setup-uv@b75a909f75acd358c2196fb9a5f1299a9a8868a4 # v6.7.0
       with:
         python-version: ${{ matrix.python-version }}
         activate-environment: true
diff --git a/llama_stack/core/build_container.sh b/llama_stack/core/build_container.sh
index 424b40a9d..8e47fc592 100755
--- a/llama_stack/core/build_container.sh
+++ b/llama_stack/core/build_container.sh
@@ -147,7 +147,7 @@ WORKDIR /app
 
 RUN dnf -y update && dnf install -y iputils git net-tools wget \
     vim-minimal python3.12 python3.12-pip python3.12-wheel \
-    python3.12-setuptools python3.12-devel gcc make && \
+    python3.12-setuptools python3.12-devel gcc gcc-c++ make && \
     ln -s /bin/pip3.12 /bin/pip && ln -s /bin/python3.12 /bin/python && dnf clean all
 
 ENV UV_SYSTEM_PYTHON=1
@@ -164,7 +164,7 @@ RUN apt-get update && apt-get install -y \
        procps psmisc lsof \
        traceroute \
        bubblewrap \
-       gcc \
+       gcc g++ \
        && rm -rf /var/lib/apt/lists/*
 
 ENV UV_SYSTEM_PYTHON=1
diff --git a/llama_stack/core/routing_tables/models.py b/llama_stack/core/routing_tables/models.py
index b6141efa9..641c73c16 100644
--- a/llama_stack/core/routing_tables/models.py
+++ b/llama_stack/core/routing_tables/models.py
@@ -33,7 +33,7 @@ class ModelsRoutingTable(CommonRoutingTableImpl, Models):
             try:
                 models = await provider.list_models()
             except Exception as e:
-                logger.exception(f"Model refresh failed for provider {provider_id}: {e}")
+                logger.warning(f"Model refresh failed for provider {provider_id}: {e}")
                 continue
 
             self.listed_providers.add(provider_id)
diff --git a/llama_stack/providers/remote/inference/anthropic/__init__.py b/llama_stack/providers/remote/inference/anthropic/__init__.py
index 8b420a5a0..30d986808 100644
--- a/llama_stack/providers/remote/inference/anthropic/__init__.py
+++ b/llama_stack/providers/remote/inference/anthropic/__init__.py
@@ -4,15 +4,9 @@
 # This source code is licensed under the terms described in the LICENSE file in
 # the root directory of this source tree.
 
-from pydantic import BaseModel
-
 from .config import AnthropicConfig
 
 
-class AnthropicProviderDataValidator(BaseModel):
-    anthropic_api_key: str | None = None
-
-
 async def get_adapter_impl(config: AnthropicConfig, _deps):
     from .anthropic import AnthropicInferenceAdapter
 
diff --git a/llama_stack/providers/remote/inference/fireworks/fireworks.py b/llama_stack/providers/remote/inference/fireworks/fireworks.py
index e907e8ec6..2fcf1be2e 100644
--- a/llama_stack/providers/remote/inference/fireworks/fireworks.py
+++ b/llama_stack/providers/remote/inference/fireworks/fireworks.py
@@ -4,11 +4,9 @@
 # This source code is licensed under the terms described in the LICENSE file in
 # the root directory of this source tree.
 
-from collections.abc import AsyncGenerator, AsyncIterator
-from typing import Any
+from collections.abc import AsyncGenerator
 
 from fireworks.client import Fireworks
-from openai import AsyncOpenAI
 
 from llama_stack.apis.common.content_types import (
     InterleavedContent,
@@ -24,12 +22,6 @@ from llama_stack.apis.inference import (
     Inference,
     LogProbConfig,
     Message,
-    OpenAIChatCompletion,
-    OpenAIChatCompletionChunk,
-    OpenAICompletion,
-    OpenAIEmbeddingsResponse,
-    OpenAIMessageParam,
-    OpenAIResponseFormatParam,
     ResponseFormat,
     ResponseFormatType,
     SamplingParams,
@@ -45,15 +37,14 @@ from llama_stack.providers.utils.inference.model_registry import (
     ModelRegistryHelper,
 )
 from llama_stack.providers.utils.inference.openai_compat import (
-    OpenAIChatCompletionToLlamaStackMixin,
     convert_message_to_openai_dict,
     get_sampling_options,
-    prepare_openai_completion_params,
     process_chat_completion_response,
     process_chat_completion_stream_response,
     process_completion_response,
     process_completion_stream_response,
 )
+from llama_stack.providers.utils.inference.openai_mixin import OpenAIMixin
 from llama_stack.providers.utils.inference.prompt_adapter import (
     chat_completion_request_to_prompt,
     completion_request_to_prompt,
@@ -68,7 +59,7 @@ from .models import MODEL_ENTRIES
 logger = get_logger(name=__name__, category="inference::fireworks")
 
 
-class FireworksInferenceAdapter(ModelRegistryHelper, Inference, NeedsRequestProviderData):
+class FireworksInferenceAdapter(OpenAIMixin, ModelRegistryHelper, Inference, NeedsRequestProviderData):
     def __init__(self, config: FireworksImplConfig) -> None:
         ModelRegistryHelper.__init__(self, MODEL_ENTRIES, config.allowed_models)
         self.config = config
@@ -79,7 +70,7 @@ class FireworksInferenceAdapter(ModelRegistryHelper, Inference, NeedsRequestProv
     async def shutdown(self) -> None:
         pass
 
-    def _get_api_key(self) -> str:
+    def get_api_key(self) -> str:
         config_api_key = self.config.api_key.get_secret_value() if self.config.api_key else None
         if config_api_key:
             return config_api_key
@@ -91,15 +82,18 @@ class FireworksInferenceAdapter(ModelRegistryHelper, Inference, NeedsRequestProv
                 )
             return provider_data.fireworks_api_key
 
-    def _get_base_url(self) -> str:
+    def get_base_url(self) -> str:
         return "https://api.fireworks.ai/inference/v1"
 
     def _get_client(self) -> Fireworks:
-        fireworks_api_key = self._get_api_key()
+        fireworks_api_key = self.get_api_key()
         return Fireworks(api_key=fireworks_api_key)
 
-    def _get_openai_client(self) -> AsyncOpenAI:
-        return AsyncOpenAI(base_url=self._get_base_url(), api_key=self._get_api_key())
+    def _preprocess_prompt_for_fireworks(self, prompt: str) -> str:
+        """Remove BOS token as Fireworks automatically prepends it"""
+        if prompt.startswith("<|begin_of_text|>"):
+            return prompt[len("<|begin_of_text|>") :]
+        return prompt
 
     async def completion(
         self,
@@ -285,153 +279,3 @@ class FireworksInferenceAdapter(ModelRegistryHelper, Inference, NeedsRequestProv
 
         embeddings = [data.embedding for data in response.data]
         return EmbeddingsResponse(embeddings=embeddings)
-
-    async def openai_embeddings(
-        self,
-        model: str,
-        input: str | list[str],
-        encoding_format: str | None = "float",
-        dimensions: int | None = None,
-        user: str | None = None,
-    ) -> OpenAIEmbeddingsResponse:
-        raise NotImplementedError()
-
-    async def openai_completion(
-        self,
-        model: str,
-        prompt: str | list[str] | list[int] | list[list[int]],
-        best_of: int | None = None,
-        echo: bool | None = None,
-        frequency_penalty: float | None = None,
-        logit_bias: dict[str, float] | None = None,
-        logprobs: bool | None = None,
-        max_tokens: int | None = None,
-        n: int | None = None,
-        presence_penalty: float | None = None,
-        seed: int | None = None,
-        stop: str | list[str] | None = None,
-        stream: bool | None = None,
-        stream_options: dict[str, Any] | None = None,
-        temperature: float | None = None,
-        top_p: float | None = None,
-        user: str | None = None,
-        guided_choice: list[str] | None = None,
-        prompt_logprobs: int | None = None,
-        suffix: str | None = None,
-    ) -> OpenAICompletion:
-        model_obj = await self.model_store.get_model(model)
-
-        # Fireworks always prepends with BOS
-        if isinstance(prompt, str) and prompt.startswith("<|begin_of_text|>"):
-            prompt = prompt[len("<|begin_of_text|>") :]
-
-        params = await prepare_openai_completion_params(
-            model=model_obj.provider_resource_id,
-            prompt=prompt,
-            best_of=best_of,
-            echo=echo,
-            frequency_penalty=frequency_penalty,
-            logit_bias=logit_bias,
-            logprobs=logprobs,
-            max_tokens=max_tokens,
-            n=n,
-            presence_penalty=presence_penalty,
-            seed=seed,
-            stop=stop,
-            stream=stream,
-            stream_options=stream_options,
-            temperature=temperature,
-            top_p=top_p,
-            user=user,
-        )
-
-        return await self._get_openai_client().completions.create(**params)
-
-    async def openai_chat_completion(
-        self,
-        model: str,
-        messages: list[OpenAIMessageParam],
-        frequency_penalty: float | None = None,
-        function_call: str | dict[str, Any] | None = None,
-        functions: list[dict[str, Any]] | None = None,
-        logit_bias: dict[str, float] | None = None,
-        logprobs: bool | None = None,
-        max_completion_tokens: int | None = None,
-        max_tokens: int | None = None,
-        n: int | None = None,
-        parallel_tool_calls: bool | None = None,
-        presence_penalty: float | None = None,
-        response_format: OpenAIResponseFormatParam | None = None,
-        seed: int | None = None,
-        stop: str | list[str] | None = None,
-        stream: bool | None = None,
-        stream_options: dict[str, Any] | None = None,
-        temperature: float | None = None,
-        tool_choice: str | dict[str, Any] | None = None,
-        tools: list[dict[str, Any]] | None = None,
-        top_logprobs: int | None = None,
-        top_p: float | None = None,
-        user: str | None = None,
-    ) -> OpenAIChatCompletion | AsyncIterator[OpenAIChatCompletionChunk]:
-        model_obj = await self.model_store.get_model(model)
-
-        # Divert Llama Models through Llama Stack inference APIs because
-        # Fireworks chat completions OpenAI-compatible API does not support
-        # tool calls properly.
-        llama_model = self.get_llama_model(model_obj.provider_resource_id)
-
-        if llama_model:
-            return await OpenAIChatCompletionToLlamaStackMixin.openai_chat_completion(
-                self,
-                model=model,
-                messages=messages,
-                frequency_penalty=frequency_penalty,
-                function_call=function_call,
-                functions=functions,
-                logit_bias=logit_bias,
-                logprobs=logprobs,
-                max_completion_tokens=max_completion_tokens,
-                max_tokens=max_tokens,
-                n=n,
-                parallel_tool_calls=parallel_tool_calls,
-                presence_penalty=presence_penalty,
-                response_format=response_format,
-                seed=seed,
-                stop=stop,
-                stream=stream,
-                stream_options=stream_options,
-                temperature=temperature,
-                tool_choice=tool_choice,
-                tools=tools,
-                top_logprobs=top_logprobs,
-                top_p=top_p,
-                user=user,
-            )
-
-        params = await prepare_openai_completion_params(
-            messages=messages,
-            frequency_penalty=frequency_penalty,
-            function_call=function_call,
-            functions=functions,
-            logit_bias=logit_bias,
-            logprobs=logprobs,
-            max_completion_tokens=max_completion_tokens,
-            max_tokens=max_tokens,
-            n=n,
-            parallel_tool_calls=parallel_tool_calls,
-            presence_penalty=presence_penalty,
-            response_format=response_format,
-            seed=seed,
-            stop=stop,
-            stream=stream,
-            stream_options=stream_options,
-            temperature=temperature,
-            tool_choice=tool_choice,
-            tools=tools,
-            top_logprobs=top_logprobs,
-            top_p=top_p,
-            user=user,
-        )
-
-        logger.debug(f"fireworks params: {params}")
-        return await self._get_openai_client().chat.completions.create(model=model_obj.provider_resource_id, **params)
diff --git a/llama_stack/providers/remote/inference/gemini/__init__.py b/llama_stack/providers/remote/inference/gemini/__init__.py
index 9d35da893..bda2f52d4 100644
--- a/llama_stack/providers/remote/inference/gemini/__init__.py
+++ b/llama_stack/providers/remote/inference/gemini/__init__.py
@@ -4,15 +4,9 @@
 # This source code is licensed under the terms described in the LICENSE file in
 # the root directory of this source tree.
 
-from pydantic import BaseModel
-
 from .config import GeminiConfig
 
 
-class GeminiProviderDataValidator(BaseModel):
-    gemini_api_key: str | None = None
-
-
 async def get_adapter_impl(config: GeminiConfig, _deps):
     from .gemini import GeminiInferenceAdapter
 
diff --git a/llama_stack/providers/remote/inference/openai/__init__.py b/llama_stack/providers/remote/inference/openai/__init__.py
index c245dbe10..bd3daeb9a 100644
--- a/llama_stack/providers/remote/inference/openai/__init__.py
+++ b/llama_stack/providers/remote/inference/openai/__init__.py
@@ -4,15 +4,9 @@
 # This source code is licensed under the terms described in the LICENSE file in
 # the root directory of this source tree.
 
-from pydantic import BaseModel
-
 from .config import OpenAIConfig
 
 
-class OpenAIProviderDataValidator(BaseModel):
-    openai_api_key: str | None = None
-
-
 async def get_adapter_impl(config: OpenAIConfig, _deps):
     from .openai import OpenAIInferenceAdapter
 
diff --git a/llama_stack/providers/utils/inference/model_registry.py b/llama_stack/providers/utils/inference/model_registry.py
index 44add8f9e..b6b06c0b6 100644
--- a/llama_stack/providers/utils/inference/model_registry.py
+++ b/llama_stack/providers/utils/inference/model_registry.py
@@ -103,7 +103,7 @@ class ModelRegistryHelper(ModelsProtocolPrivate):
                     Model(
                         identifier=id,
                         provider_resource_id=entry.provider_model_id,
-                        model_type=ModelType.llm,
+                        model_type=entry.model_type,
                         metadata=entry.metadata,
                         provider_id=self.__provider_id__,
                     )
diff --git a/llama_stack/testing/inference_recorder.py b/llama_stack/testing/inference_recorder.py
index b3028a66b..dacf69606 100644
--- a/llama_stack/testing/inference_recorder.py
+++ b/llama_stack/testing/inference_recorder.py
@@ -203,7 +203,12 @@ def _model_identifiers_digest(endpoint: str, response: dict[str, Any]) -> str:
         - '/v1/models' (OpenAI): response body is: [ { id: ... }, ... ]
         Returns a list of unique identifiers or None if structure doesn't match.
         """
-        items = response["body"]
+        if "models" in response["body"]:
+            # ollama
+            items = response["body"]["models"]
+        else:
+            # openai
+            items = response["body"]
         idents = [m.model if endpoint == "/api/tags" else m.id for m in items]
         return sorted(set(idents))
 
diff --git a/llama_stack/ui/package-lock.json b/llama_stack/ui/package-lock.json
index 3f22716c6..638655639 100644
--- a/llama_stack/ui/package-lock.json
+++ b/llama_stack/ui/package-lock.json
@@ -9,7 +9,7 @@
       "version": "0.1.0",
       "dependencies": {
         "@radix-ui/react-collapsible": "^1.1.12",
-        "@radix-ui/react-dialog": "^1.1.13",
+        "@radix-ui/react-dialog": "^1.1.15",
         "@radix-ui/react-dropdown-menu": "^2.1.16",
         "@radix-ui/react-select": "^2.2.6",
         "@radix-ui/react-separator": "^1.1.7",
@@ -27,7 +27,7 @@
         "react-dom": "^19.1.1",
         "react-markdown": "^10.1.0",
         "remark-gfm": "^4.0.1",
-        "remeda": "^2.30.0",
+        "remeda": "^2.32.0",
         "shiki": "^1.29.2",
         "sonner": "^2.0.7",
         "tailwind-merge": "^3.3.1"
@@ -47,7 +47,7 @@
         "eslint-config-prettier": "^10.1.8",
         "eslint-plugin-prettier": "^5.5.4",
         "jest": "^29.7.0",
-        "jest-environment-jsdom": "^29.7.0",
+        "jest-environment-jsdom": "^30.1.2",
         "prettier": "3.6.2",
         "tailwindcss": "^4",
         "ts-node": "^10.9.2",
@@ -89,6 +89,27 @@
         "node": ">=6.0.0"
       }
     },
+    "node_modules/@asamuzakjp/css-color": {
+      "version": "3.2.0",
+      "resolved": "https://registry.npmjs.org/@asamuzakjp/css-color/-/css-color-3.2.0.tgz",
+      "integrity": "sha512-K1A6z8tS3XsmCMM86xoWdn7Fkdn9m6RSVtocUrJYIwZnFVkng/PvkEoWtOWmP+Scc6saYWHWZYbndEEXxl24jw==",
+      "dev": true,
+      "license": "MIT",
+      "dependencies": {
+        "@csstools/css-calc": "^2.1.3",
+        "@csstools/css-color-parser": "^3.0.9",
+        "@csstools/css-parser-algorithms": "^3.0.4",
+        "@csstools/css-tokenizer": "^3.0.3",
+        "lru-cache": "^10.4.3"
+      }
+    },
+    "node_modules/@asamuzakjp/css-color/node_modules/lru-cache": {
+      "version": "10.4.3",
+      "resolved": "https://registry.npmjs.org/lru-cache/-/lru-cache-10.4.3.tgz",
+      "integrity": "sha512-JNAzZcXrCt42VGLuYz0zfAzDfAvJWW6AfYlDBQyDV5DClI2m5sAmK+OIO7s59XfsRsWHp02jAJrRadPRGTt6SQ==",
+      "dev": true,
+      "license": "ISC"
+    },
     "node_modules/@babel/code-frame": {
       "version": "7.27.1",
       "resolved": "https://registry.npmjs.org/@babel/code-frame/-/code-frame-7.27.1.tgz",
@@ -651,6 +672,121 @@
         "@jridgewell/sourcemap-codec": "^1.4.10"
       }
     },
+    "node_modules/@csstools/color-helpers": {
+      "version": "5.1.0",
+      "resolved": "https://registry.npmjs.org/@csstools/color-helpers/-/color-helpers-5.1.0.tgz",
+      "integrity": "sha512-S11EXWJyy0Mz5SYvRmY8nJYTFFd1LCNV+7cXyAgQtOOuzb4EsgfqDufL+9esx72/eLhsRdGZwaldu/h+E4t4BA==",
+      "dev": true,
+      "funding": [
+        {
+          "type": "github",
+          "url": "https://github.com/sponsors/csstools"
+        },
+        {
+          "type": "opencollective",
+          "url": "https://opencollective.com/csstools"
+        }
+      ],
+      "license": "MIT-0",
+      "engines": {
+        "node": ">=18"
+      }
+    },
+    "node_modules/@csstools/css-calc": {
+      "version": "2.1.4",
+      "resolved": "https://registry.npmjs.org/@csstools/css-calc/-/css-calc-2.1.4.tgz",
+      "integrity": "sha512-3N8oaj+0juUw/1H3YwmDDJXCgTB1gKU6Hc/bB502u9zR0q2vd786XJH9QfrKIEgFlZmhZiq6epXl4rHqhzsIgQ==",
+      "dev": true,
+      "funding": [
+        {
+          "type": "github",
+          "url": "https://github.com/sponsors/csstools"
+        },
+        {
+          "type": "opencollective",
+          "url": "https://opencollective.com/csstools"
+        }
+      ],
+      "license": "MIT",
+      "engines": {
+        "node": ">=18"
+      },
+      "peerDependencies": {
+        "@csstools/css-parser-algorithms": "^3.0.5",
+        "@csstools/css-tokenizer": "^3.0.4"
+      }
+    },
+    "node_modules/@csstools/css-color-parser": {
+      "version": "3.1.0",
+      "resolved": "https://registry.npmjs.org/@csstools/css-color-parser/-/css-color-parser-3.1.0.tgz",
+      "integrity": "sha512-nbtKwh3a6xNVIp/VRuXV64yTKnb1IjTAEEh3irzS+HkKjAOYLTGNb9pmVNntZ8iVBHcWDA2Dof0QtPgFI1BaTA==",
+      "dev": true,
+      "funding": [
+        {
+          "type": "github",
+          "url": "https://github.com/sponsors/csstools"
+        },
+        {
+          "type": "opencollective",
+          "url": "https://opencollective.com/csstools"
+        }
+      ],
+      "license": "MIT",
+      "dependencies": {
+        "@csstools/color-helpers": "^5.1.0",
+        "@csstools/css-calc": "^2.1.4"
+      },
+      "engines": {
+        "node": ">=18"
+      },
+      "peerDependencies": {
+        "@csstools/css-parser-algorithms": "^3.0.5",
+        "@csstools/css-tokenizer": "^3.0.4"
+      }
+    },
+    "node_modules/@csstools/css-parser-algorithms": {
+      "version": "3.0.5",
+      "resolved": "https://registry.npmjs.org/@csstools/css-parser-algorithms/-/css-parser-algorithms-3.0.5.tgz",
+      "integrity": "sha512-DaDeUkXZKjdGhgYaHNJTV9pV7Y9B3b644jCLs9Upc3VeNGg6LWARAT6O+Q+/COo+2gg/bM5rhpMAtf70WqfBdQ==",
+      "dev": true,
+      "funding": [
+        {
+          "type": "github",
+          "url": "https://github.com/sponsors/csstools"
+        },
+        {
+          "type": "opencollective",
+          "url": "https://opencollective.com/csstools"
+        }
+      ],
+      "license": "MIT",
+      "engines": {
+        "node": ">=18"
+      },
+      "peerDependencies": {
+        "@csstools/css-tokenizer": "^3.0.4"
+      }
+    },
+    "node_modules/@csstools/css-tokenizer": {
+      "version": "3.0.4",
+      "resolved": "https://registry.npmjs.org/@csstools/css-tokenizer/-/css-tokenizer-3.0.4.tgz",
+      "integrity": "sha512-Vd/9EVDiu6PPJt9yAh6roZP6El1xHrdvIVGjyBsHR0RYwNHgL7FJPyIIW4fANJNG6FtyZfvlRPpFI4ZM/lubvw==",
+      "dev": true,
+      "funding": [
+        {
+          "type": "github",
+          "url": "https://github.com/sponsors/csstools"
+        },
+        {
+          "type": "opencollective",
+          "url": "https://opencollective.com/csstools"
+        }
+      ],
+      "license": "MIT",
+      "engines": {
+        "node": ">=18"
+      }
+    },
     "node_modules/@emnapi/core": {
       "version": "1.4.3",
       "resolved": "https://registry.npmjs.org/@emnapi/core/-/core-1.4.3.tgz",
@@ -1591,6 +1727,235 @@
         "node": "^14.15.0 || ^16.10.0 || >=18.0.0"
       }
     },
+    "node_modules/@jest/environment-jsdom-abstract": {
+      "version": "30.1.2",
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+        "cssstyle": "^4.2.1",
+        "data-urls": "^5.0.0",
+        "decimal.js": "^10.5.0",
+        "html-encoding-sniffer": "^4.0.0",
+        "http-proxy-agent": "^7.0.2",
+        "https-proxy-agent": "^7.0.6",
         "is-potential-custom-element-name": "^1.0.1",
-        "nwsapi": "^2.2.2",
-        "parse5": "^7.1.1",
+        "nwsapi": "^2.2.16",
+        "parse5": "^7.2.1",
+        "rrweb-cssom": "^0.8.0",
         "saxes": "^6.0.0",
         "symbol-tree": "^3.2.4",
-        "tough-cookie": "^4.1.2",
-        "w3c-xmlserializer": "^4.0.0",
+        "tough-cookie": "^5.1.1",
+        "w3c-xmlserializer": "^5.0.0",
         "webidl-conversions": "^7.0.0",
-        "whatwg-encoding": "^2.0.0",
-        "whatwg-mimetype": "^3.0.0",
-        "whatwg-url": "^11.0.0",
-        "ws": "^8.11.0",
-        "xml-name-validator": "^4.0.0"
+        "whatwg-encoding": "^3.1.1",
+        "whatwg-mimetype": "^4.0.0",
+        "whatwg-url": "^14.1.1",
+        "ws": "^8.18.0",
+        "xml-name-validator": "^5.0.0"
       },
       "engines": {
-        "node": ">=14"
+        "node": ">=18"
       },
       "peerDependencies": {
-        "canvas": "^2.5.0"
+        "canvas": "^3.0.0"
       },
       "peerDependenciesMeta": {
         "canvas": {
@@ -9897,16 +9755,16 @@
       }
     },
     "node_modules/jsdom/node_modules/tr46": {
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-      "resolved": "https://registry.npmjs.org/tr46/-/tr46-3.0.0.tgz",
-      "integrity": "sha512-l7FvfAHlcmulp8kr+flpQZmVwtu7nfRV7NZujtN0OqES8EL4O4e0qqzL0DC5gAvx/ZC/9lk6rhcUwYvkBnBnYA==",
+      "version": "5.1.1",
+      "resolved": "https://registry.npmjs.org/tr46/-/tr46-5.1.1.tgz",
+      "integrity": "sha512-hdF5ZgjTqgAntKkklYw0R03MG2x/bSzTtkxmIRw/sTNV8YXsCJ1tfLAX23lhxhHJlEf3CRCOCGGWw3vI3GaSPw==",
       "dev": true,
       "license": "MIT",
       "dependencies": {
-        "punycode": "^2.1.1"
+        "punycode": "^2.3.1"
       },
       "engines": {
-        "node": ">=12"
+        "node": ">=18"
       }
     },
     "node_modules/jsdom/node_modules/webidl-conversions": {
@@ -9920,17 +9778,17 @@
       }
     },
     "node_modules/jsdom/node_modules/whatwg-url": {
-      "version": "11.0.0",
-      "resolved": "https://registry.npmjs.org/whatwg-url/-/whatwg-url-11.0.0.tgz",
-      "integrity": "sha512-RKT8HExMpoYx4igMiVMY83lN6UeITKJlBQ+vR/8ZJ8OCdSiN3RwCq+9gH0+Xzj0+5IrM6i4j/6LuvzbZIQgEcQ==",
+      "version": "14.2.0",
+      "resolved": "https://registry.npmjs.org/whatwg-url/-/whatwg-url-14.2.0.tgz",
+      "integrity": "sha512-De72GdQZzNTUBBChsXueQUnPKDkg/5A5zp7pFDuQAj5UFoENpiACU0wlCvzpAGnTkj++ihpKwKyYewn/XNUbKw==",
       "dev": true,
       "license": "MIT",
       "dependencies": {
-        "tr46": "^3.0.0",
+        "tr46": "^5.1.0",
         "webidl-conversions": "^7.0.0"
       },
       "engines": {
-        "node": ">=12"
+        "node": ">=18"
       }
     },
     "node_modules/jsesc": {
@@ -11763,9 +11621,9 @@
       }
     },
     "node_modules/nwsapi": {
-      "version": "2.2.20",
-      "resolved": "https://registry.npmjs.org/nwsapi/-/nwsapi-2.2.20.tgz",
-      "integrity": "sha512-/ieB+mDe4MrrKMT8z+mQL8klXydZWGR5Dowt4RAGKbJ3kIGEx3X4ljUo+6V73IXtUPWgfOlU5B9MlGxFO5T+cA==",
+      "version": "2.2.22",
+      "resolved": "https://registry.npmjs.org/nwsapi/-/nwsapi-2.2.22.tgz",
+      "integrity": "sha512-ujSMe1OWVn55euT1ihwCI1ZcAaAU3nxUiDwfDQldc51ZXaB9m2AyOn6/jh1BLe2t/G8xd6uKG1UBF2aZJeg2SQ==",
       "dev": true,
       "license": "MIT"
     },
@@ -12503,19 +12361,6 @@
         "node": ">= 0.10"
       }
     },
-    "node_modules/psl": {
-      "version": "1.15.0",
-      "resolved": "https://registry.npmjs.org/psl/-/psl-1.15.0.tgz",
-      "integrity": "sha512-JZd3gMVBAVQkSs6HdNZo9Sdo0LNcQeMNP3CozBJb3JYC/QUYZTnKxP+f8oWRX4rHP5EurWxqAHTSwUCjlNKa1w==",
-      "dev": true,
-      "license": "MIT",
-      "dependencies": {
-        "punycode": "^2.3.1"
-      },
-      "funding": {
-        "url": "https://github.com/sponsors/lupomontero"
-      }
-    },
     "node_modules/punycode": {
       "version": "2.3.1",
       "resolved": "https://registry.npmjs.org/punycode/-/punycode-2.3.1.tgz",
@@ -12559,13 +12404,6 @@
         "url": "https://github.com/sponsors/ljharb"
       }
     },
-    "node_modules/querystringify": {
-      "version": "2.2.0",
-      "resolved": "https://registry.npmjs.org/querystringify/-/querystringify-2.2.0.tgz",
-      "integrity": "sha512-FIqgj2EUvTa7R50u0rGsyTftzjYmv/a3hO345bZNrqabNqjtgiDMgmo4mkUjd+nzU5oF3dClKqFIPUKybUyqoQ==",
-      "dev": true,
-      "license": "MIT"
-    },
     "node_modules/queue-microtask": {
       "version": "1.2.3",
       "resolved": "https://registry.npmjs.org/queue-microtask/-/queue-microtask-1.2.3.tgz",
@@ -12887,9 +12725,9 @@
       }
     },
     "node_modules/remeda": {
-      "version": "2.30.0",
-      "resolved": "https://registry.npmjs.org/remeda/-/remeda-2.30.0.tgz",
-      "integrity": "sha512-TcRpI1ecqnMer3jHhFtMerGvHFCDlCHljUp0/9A4HxHOh5bSY3kP1l8nQDFMnWYJKl3MSarDNY1tb0Bs/bCmvw==",
+      "version": "2.32.0",
+      "resolved": "https://registry.npmjs.org/remeda/-/remeda-2.32.0.tgz",
+      "integrity": "sha512-BZx9DsT4FAgXDTOdgJIc5eY6ECIXMwtlSPQoPglF20ycSWigttDDe88AozEsPPT4OWk5NujroGSBC1phw5uU+w==",
       "license": "MIT",
       "dependencies": {
         "type-fest": "^4.41.0"
@@ -12917,13 +12755,6 @@
         "node": ">=0.10.0"
       }
     },
-    "node_modules/requires-port": {
-      "version": "1.0.0",
-      "resolved": "https://registry.npmjs.org/requires-port/-/requires-port-1.0.0.tgz",
-      "integrity": "sha512-KigOCHcocU3XODJxsu8i/j8T9tzT4adHiecwORRQ0ZZFcp7ahwXuRU1m+yuO90C5ZUyGeGfocHDI14M3L3yDAQ==",
-      "dev": true,
-      "license": "MIT"
-    },
     "node_modules/resolve": {
       "version": "1.22.10",
       "resolved": "https://registry.npmjs.org/resolve/-/resolve-1.22.10.tgz",
@@ -13026,6 +12857,13 @@
         "node": ">= 18"
       }
     },
+    "node_modules/rrweb-cssom": {
+      "version": "0.8.0",
+      "resolved": "https://registry.npmjs.org/rrweb-cssom/-/rrweb-cssom-0.8.0.tgz",
+      "integrity": "sha512-guoltQEx+9aMf2gDZ0s62EcV8lsXR+0w8915TC3ITdn2YueuNjdAYh/levpU9nFaoChh9RUS5ZdQMrKfVEN9tw==",
+      "dev": true,
+      "license": "MIT"
+    },
     "node_modules/run-parallel": {
       "version": "1.2.0",
       "resolved": "https://registry.npmjs.org/run-parallel/-/run-parallel-1.2.0.tgz",
@@ -13966,6 +13804,26 @@
         "url": "https://github.com/sponsors/jonschlinkert"
       }
     },
+    "node_modules/tldts": {
+      "version": "6.1.86",
+      "resolved": "https://registry.npmjs.org/tldts/-/tldts-6.1.86.tgz",
+      "integrity": "sha512-WMi/OQ2axVTf/ykqCQgXiIct+mSQDFdH2fkwhPwgEwvJ1kSzZRiinb0zF2Xb8u4+OqPChmyI6MEu4EezNJz+FQ==",
+      "dev": true,
+      "license": "MIT",
+      "dependencies": {
+        "tldts-core": "^6.1.86"
+      },
+      "bin": {
+        "tldts": "bin/cli.js"
+      }
+    },
+    "node_modules/tldts-core": {
+      "version": "6.1.86",
+      "resolved": "https://registry.npmjs.org/tldts-core/-/tldts-core-6.1.86.tgz",
+      "integrity": "sha512-Je6p7pkk+KMzMv2XXKmAE3McmolOQFdxkKw0R8EYNr7sELW46JqnNeTX8ybPiQgvg1ymCoF8LXs5fzFaZvJPTA==",
+      "dev": true,
+      "license": "MIT"
+    },
     "node_modules/tmpl": {
       "version": "1.0.5",
       "resolved": "https://registry.npmjs.org/tmpl/-/tmpl-1.0.5.tgz",
@@ -13997,19 +13855,16 @@
       }
     },
     "node_modules/tough-cookie": {
-      "version": "4.1.4",
-      "resolved": "https://registry.npmjs.org/tough-cookie/-/tough-cookie-4.1.4.tgz",
-      "integrity": "sha512-Loo5UUvLD9ScZ6jh8beX1T6sO1w2/MpCRpEP7V280GKMVUQ0Jzar2U3UJPsrdbziLEMMhu3Ujnq//rhiFuIeag==",
+      "version": "5.1.2",
+      "resolved": "https://registry.npmjs.org/tough-cookie/-/tough-cookie-5.1.2.tgz",
+      "integrity": "sha512-FVDYdxtnj0G6Qm/DhNPSb8Ju59ULcup3tuJxkFb5K8Bv2pUXILbf0xZWU8PX8Ov19OXljbUyveOFwRMwkXzO+A==",
       "dev": true,
       "license": "BSD-3-Clause",
       "dependencies": {
-        "psl": "^1.1.33",
-        "punycode": "^2.1.1",
-        "universalify": "^0.2.0",
-        "url-parse": "^1.5.3"
+        "tldts": "^6.1.32"
       },
       "engines": {
-        "node": ">=6"
+        "node": ">=16"
       }
     },
     "node_modules/tr46": {
@@ -14379,16 +14234,6 @@
         "url": "https://opencollective.com/unified"
       }
     },
-    "node_modules/universalify": {
-      "version": "0.2.0",
-      "resolved": "https://registry.npmjs.org/universalify/-/universalify-0.2.0.tgz",
-      "integrity": "sha512-CJ1QgKmNg3CwvAv/kOFmtnEN05f0D/cn9QntgNOQlQF9dgvVTHj3t+8JPdjqawCHk7V/KA+fbUqzZ9XWhcqPUg==",
-      "dev": true,
-      "license": "MIT",
-      "engines": {
-        "node": ">= 4.0.0"
-      }
-    },
     "node_modules/unpipe": {
       "version": "1.0.0",
       "resolved": "https://registry.npmjs.org/unpipe/-/unpipe-1.0.0.tgz",
@@ -14473,17 +14318,6 @@
         "punycode": "^2.1.0"
       }
     },
-    "node_modules/url-parse": {
-      "version": "1.5.10",
-      "resolved": "https://registry.npmjs.org/url-parse/-/url-parse-1.5.10.tgz",
-      "integrity": "sha512-WypcfiRhfeUP9vvF0j6rw0J3hrWrw6iZv3+22h6iRMJ/8z1Tj6XfLP4DsUix5MhMPnXpiHDoKyoZ/bdCkwBCiQ==",
-      "dev": true,
-      "license": "MIT",
-      "dependencies": {
-        "querystringify": "^2.1.1",
-        "requires-port": "^1.0.0"
-      }
-    },
     "node_modules/use-callback-ref": {
       "version": "1.3.3",
       "resolved": "https://registry.npmjs.org/use-callback-ref/-/use-callback-ref-1.3.3.tgz",
@@ -14597,16 +14431,16 @@
       }
     },
     "node_modules/w3c-xmlserializer": {
-      "version": "4.0.0",
-      "resolved": "https://registry.npmjs.org/w3c-xmlserializer/-/w3c-xmlserializer-4.0.0.tgz",
-      "integrity": "sha512-d+BFHzbiCx6zGfz0HyQ6Rg69w9k19nviJspaj4yNscGjrHu94sVP+aRm75yEbCh+r2/yR+7q6hux9LVtbuTGBw==",
+      "version": "5.0.0",
+      "resolved": "https://registry.npmjs.org/w3c-xmlserializer/-/w3c-xmlserializer-5.0.0.tgz",
+      "integrity": "sha512-o8qghlI8NZHU1lLPrpi2+Uq7abh4GGPpYANlalzWxyWteJOCsr/P+oPBA49TOLu5FTZO4d3F9MnWJfiMo4BkmA==",
       "dev": true,
       "license": "MIT",
       "dependencies": {
-        "xml-name-validator": "^4.0.0"
+        "xml-name-validator": "^5.0.0"
       },
       "engines": {
-        "node": ">=14"
+        "node": ">=18"
       }
     },
     "node_modules/walker": {
@@ -14635,26 +14469,26 @@
       "license": "BSD-2-Clause"
     },
     "node_modules/whatwg-encoding": {
-      "version": "2.0.0",
-      "resolved": "https://registry.npmjs.org/whatwg-encoding/-/whatwg-encoding-2.0.0.tgz",
-      "integrity": "sha512-p41ogyeMUrw3jWclHWTQg1k05DSVXPLcVxRTYsXUk+ZooOCZLcoYgPZ/HL/D/N+uQPOtcp1me1WhBEaX02mhWg==",
+      "version": "3.1.1",
+      "resolved": "https://registry.npmjs.org/whatwg-encoding/-/whatwg-encoding-3.1.1.tgz",
+      "integrity": "sha512-6qN4hJdMwfYBtE3YBTTHhoeuUrDBPZmbQaxWAqSALV/MeEnR5z1xd8UKud2RAkFoPkmB+hli1TZSnyi84xz1vQ==",
       "dev": true,
       "license": "MIT",
       "dependencies": {
         "iconv-lite": "0.6.3"
       },
       "engines": {
-        "node": ">=12"
+        "node": ">=18"
       }
     },
     "node_modules/whatwg-mimetype": {
-      "version": "3.0.0",
-      "resolved": "https://registry.npmjs.org/whatwg-mimetype/-/whatwg-mimetype-3.0.0.tgz",
-      "integrity": "sha512-nt+N2dzIutVRxARx1nghPKGv1xHikU7HKdfafKkLNLindmPU/ch3U31NOCGGA/dmPcmb1VlofO0vnKAcsm0o/Q==",
+      "version": "4.0.0",
+      "resolved": "https://registry.npmjs.org/whatwg-mimetype/-/whatwg-mimetype-4.0.0.tgz",
+      "integrity": "sha512-QaKxh0eNIi2mE9p2vEdzfagOKHCcj1pJ56EEHGQOVxp8r9/iszLUUV7v89x9O1p/T+NlTM5W7jW6+cz4Fq1YVg==",
       "dev": true,
       "license": "MIT",
       "engines": {
-        "node": ">=12"
+        "node": ">=18"
       }
     },
     "node_modules/whatwg-url": {
@@ -14822,9 +14656,9 @@
       }
     },
     "node_modules/ws": {
-      "version": "8.18.2",
-      "resolved": "https://registry.npmjs.org/ws/-/ws-8.18.2.tgz",
-      "integrity": "sha512-DMricUmwGZUVr++AEAe2uiVM7UoO9MAVZMDu05UQOaUII0lp+zOzLLU4Xqh/JvTqklB1T4uELaaPBKyjE1r4fQ==",
+      "version": "8.18.3",
+      "resolved": "https://registry.npmjs.org/ws/-/ws-8.18.3.tgz",
+      "integrity": "sha512-PEIGCY5tSlUt50cqyMXfCzX+oOPqN0vuGqWzbcJ2xvnkzkq46oOpz7dQaTDBdfICb4N14+GARUDw2XV2N4tvzg==",
       "dev": true,
       "license": "MIT",
       "engines": {
@@ -14844,13 +14678,13 @@
       }
     },
     "node_modules/xml-name-validator": {
-      "version": "4.0.0",
-      "resolved": "https://registry.npmjs.org/xml-name-validator/-/xml-name-validator-4.0.0.tgz",
-      "integrity": "sha512-ICP2e+jsHvAj2E2lIHxa5tjXRlKDJo4IdvPvCXbXQGdzSfmSpNVyIKMvoZHjDY9DP0zV17iI85o90vRFXNccRw==",
+      "version": "5.0.0",
+      "resolved": "https://registry.npmjs.org/xml-name-validator/-/xml-name-validator-5.0.0.tgz",
+      "integrity": "sha512-EvGK8EJ3DhaHfbRlETOWAS5pO9MZITeauHKJyb8wyajUfQUenkIg2MvLDTZ4T/TgIcm3HU0TFBgWWboAZ30UHg==",
       "dev": true,
       "license": "Apache-2.0",
       "engines": {
-        "node": ">=12"
+        "node": ">=18"
       }
     },
     "node_modules/xmlchars": {
diff --git a/llama_stack/ui/package.json b/llama_stack/ui/package.json
index 2b0322b28..2ba81ea84 100644
--- a/llama_stack/ui/package.json
+++ b/llama_stack/ui/package.json
@@ -14,7 +14,7 @@
   },
   "dependencies": {
     "@radix-ui/react-collapsible": "^1.1.12",
-    "@radix-ui/react-dialog": "^1.1.13",
+    "@radix-ui/react-dialog": "^1.1.15",
     "@radix-ui/react-dropdown-menu": "^2.1.16",
     "@radix-ui/react-select": "^2.2.6",
     "@radix-ui/react-separator": "^1.1.7",
@@ -32,7 +32,7 @@
     "react-dom": "^19.1.1",
     "react-markdown": "^10.1.0",
     "remark-gfm": "^4.0.1",
-    "remeda": "^2.30.0",
+    "remeda": "^2.32.0",
     "shiki": "^1.29.2",
     "sonner": "^2.0.7",
     "tailwind-merge": "^3.3.1"
@@ -52,7 +52,7 @@
     "eslint-config-prettier": "^10.1.8",
     "eslint-plugin-prettier": "^5.5.4",
     "jest": "^29.7.0",
-    "jest-environment-jsdom": "^29.7.0",
+    "jest-environment-jsdom": "^30.1.2",
     "prettier": "3.6.2",
     "tailwindcss": "^4",
     "ts-node": "^10.9.2",
diff --git a/tests/integration/inference/test_openai_embeddings.py b/tests/integration/inference/test_openai_embeddings.py
index bebc7b6d8..ff18c0418 100644
--- a/tests/integration/inference/test_openai_embeddings.py
+++ b/tests/integration/inference/test_openai_embeddings.py
@@ -33,6 +33,7 @@ def skip_if_model_doesnt_support_user_param(client, model_id):
     provider = provider_from_model(client, model_id)
     if provider.provider_type in (
         "remote::together",  # service returns 400
+        "remote::fireworks",  # service returns 400 malformed input
     ):
         pytest.skip(f"Model {model_id} hosted by {provider.provider_type} does not support user param.")
 
@@ -42,6 +43,7 @@ def skip_if_model_doesnt_support_encoding_format_base64(client, model_id):
     if provider.provider_type in (
         "remote::together",  # param silently ignored, always returns floats
         "remote::databricks",  # param silently ignored, always returns floats
+        "remote::fireworks",  # param silently ignored, always returns list of floats
     ):
         pytest.skip(f"Model {model_id} hosted by {provider.provider_type} does not support encoding_format='base64'.")
 
@@ -289,7 +291,6 @@ def test_openai_embeddings_base64_batch_processing(compat_client, client_with_mo
         input=input_texts,
         encoding_format="base64",
     )
-
     # Validate response structure
     assert response.object == "list"
     assert response.model == embedding_model_id
diff --git a/tests/integration/suites.py b/tests/integration/suites.py
index 321f477ea..e2069f08d 100644
--- a/tests/integration/suites.py
+++ b/tests/integration/suites.py
@@ -116,6 +116,15 @@ SETUP_DEFINITIONS: dict[str, Setup] = {
             "embedding_model": "databricks/databricks-bge-large-en",
         },
     ),
+    "fireworks": Setup(
+        name="fireworks",
+        description="Fireworks provider with a text model",
+        defaults={
+            "text_model": "accounts/fireworks/models/llama-v3p1-8b-instruct",
+            "vision_model": "accounts/fireworks/models/llama-v3p2-90b-vision-instruct",
+            "embedding_model": "nomic-ai/nomic-embed-text-v1.5",
+        },
+    ),
 }