⬆️(dependencies) update python dependencies

CHANGELOG.md

@@ -13,14 +13,6 @@ and this project adheres to
 - ✨(back) add projects with custom LLM instructions
 - ✨(front) projects management UI
 
-### Changed
-
-- ⬆️(dependencies) upgrade Next.js 15 to 16, upgrade python dependencies
- 
-### Fixed
-
-- 🐛(back) add missing color option for project colors
-
 ## [0.0.14] - 2026-03-11
 
 ### Added

src/backend/chat/agents/conversation.py

@@ -117,14 +117,20 @@ class ConversationAgent(BaseAgent):
             """Dynamic instruction function to set the expected language to use."""
             return f"Answer in {get_language_name(language).lower()}." if language else ""
 
-    def is_web_search_configured(self) -> bool:
+    def get_web_search_tool_name(self) -> str | None:
         """
-        Return True when a web search backend is configured on this model.
+        Get the name of the web search tool if available.
 
-        This does not mean web search is enabled for the current conversation
-        (feature flags and runtime deps still apply).
+        If several are available, return the first one found.
+
+        Warning, this says the tool is available, not that
+        it (the tool/feature) is enabled for the current conversation.
         """
-        return bool(getattr(self.configuration, "web_search", None))
+        for toolset in self.toolsets:
+            for tool in toolset.tools.values():
+                if tool.name.startswith("web_search_"):
+                    return tool.name
+        return None
 
 
 @dataclasses.dataclass(init=False)

src/backend/chat/clients/pydantic_ai.py

@@ -251,7 +251,6 @@ class AIAgentService:  # pylint: disable=too-many-instance-attributes
             session=session,
             web_search_enabled=self._is_web_search_enabled and self._is_smart_search_enabled,
         )
-        self._web_search_tool_registered = False
 
         self.conversation_agent = ConversationAgent(
             model_hrid=self.model_hrid,
@@ -441,7 +440,8 @@ class AIAgentService:  # pylint: disable=too-many-instance-attributes
             logger.warning("Web search is forced but the feature is disabled, ignoring.")
             return False
 
-        if not self.conversation_agent.is_web_search_configured():
+        web_search_tool_name = self.conversation_agent.get_web_search_tool_name()
+        if not web_search_tool_name:
             logger.warning("Web search is forced but no web search tool is available, ignoring.")
             return False
 
@@ -450,7 +450,9 @@ class AIAgentService:  # pylint: disable=too-many-instance-attributes
         @self.conversation_agent.instructions
         def force_web_search_prompt() -> str:
             """Dynamic system prompt function to force web search."""
-            return "You must call the web_search tool before answering the user request."
+            return (
+                f"You must call the {web_search_tool_name} tool before answering the user request."
+            )
 
         return True
 
@@ -697,33 +699,6 @@ class AIAgentService:  # pylint: disable=too-many-instance-attributes
             """Wrap the document_summarize tool to provide context and add the tool."""
             return await document_summarize(ctx, *args, **kwargs)
 
-    def _setup_web_search_tool(self) -> None:
-        """Register model-specific web search tool when configured."""
-        if self._web_search_tool_registered:
-            return
-        configuration = self.conversation_agent.configuration
-        if not getattr(configuration, "web_search", None):
-            return
-
-        async def only_if_web_search_enabled(ctx, tool_def):
-            """Prepare function to include a tool only if web search is enabled in the context."""
-            return tool_def if ctx.deps.web_search_enabled else None
-
-        web_search_impl = import_string(configuration.web_search)
-
-        @self.conversation_agent.tool(
-            name="web_search",
-            retries=1,
-            prepare=only_if_web_search_enabled,
-            description="Search the web for up-to-date information",
-        )
-        @functools.wraps(web_search_impl)
-        async def web_search(ctx: RunContext, *args, **kwargs) -> ToolReturn:
-            """Wrap the web_search tool to provide context and add the tool."""
-            return await web_search_impl(ctx, *args, **kwargs)
-
-        self._web_search_tool_registered = True
-
     async def _handle_input_documents(
         self,
         input_documents: List[BinaryContent | DocumentUrl],
@@ -1041,7 +1016,6 @@ class AIAgentService:  # pylint: disable=too-many-instance-attributes
         conversation_has_documents = doc_result.has_documents
 
         await self._agent_stop_streaming(force_cache_check=True)
-        self._setup_web_search_tool()
         self._setup_web_search(force_web_search)
 
         if await self._check_should_enable_rag(conversation_has_documents):

src/backend/chat/llm_configuration.py

@@ -125,7 +125,6 @@ class LLModel(BaseModel):
     supports_streaming: bool | None = None
     system_prompt: SettingEnvValue
     tools: list[str]
-    web_search: SettingEnvValue | None = None
 
     @field_validator("tools", mode="before")
     @classmethod
@@ -135,14 +134,6 @@ class LLModel(BaseModel):
             return _get_setting_or_env_or_value(value)
         return value
 
-    @field_validator("web_search", mode="before")
-    @classmethod
-    def validate_web_search(cls, value: str | None) -> str | None:
-        """Convert web_search path if it's a setting or environment variable."""
-        if isinstance(value, str):
-            return _get_setting_or_env_or_value(value)
-        return value
-
     @model_validator(mode="after")
     def check_provider_or_provider_name(self) -> Self:
         """

src/backend/chat/migrations/0006_chatproject_chatconversation_project.py

@@ -87,7 +87,6 @@ class Migration(migrations.Migration):
                             ("color_7", "Color 7"),
                             ("color_8", "Color 8"),
                             ("color_9", "Color 9"),
-                            ("color_10", "Color 10"),
                         ],
                         help_text="Project icon color",
                         max_length=20,

src/backend/chat/models.py

@@ -52,7 +52,6 @@ class ChatProjectColor(models.TextChoices):
     COLOR_7 = "color_7", "Color 7"
     COLOR_8 = "color_8", "Color 8"
     COLOR_9 = "color_9", "Color 9"
-    COLOR_10 = "color_10", "Color 10"
 
 
 class ChatProject(BaseModel):

src/backend/chat/tests/agents/test_build_conversation_agent.py

@@ -3,12 +3,14 @@
 # pylint:disable=protected-access
 
 import pytest
+import responses
 from freezegun import freeze_time
 from pydantic_ai import Agent
 from pydantic_ai.models.openai import OpenAIChatModel
+from pydantic_ai.models.test import TestModel
 
 from chat.agents.conversation import ConversationAgent
-from chat.llm_configuration import LLModel, LLMProvider
+from chat.clients.pydantic_ai import ContextDeps
 
 
 @pytest.fixture(autouse=True)
@@ -85,30 +87,47 @@ def test_add_dynamic_system_prompt():
     assert agent._instructions[2]() == "Answer in french."
 
 
-def test_agent_is_web_search_configured():
-    """Test whether web search backend is configured on the model."""
+def test_agent_get_web_search_tool_name(settings):
+    """Test the web_search_available method."""
+    settings.AI_AGENT_TOOLS = ["get_current_weather", "web_search_albert_rag"]
     agent = ConversationAgent(model_hrid="default-model")
-    assert agent.is_web_search_configured() is False
+    assert agent.get_web_search_tool_name() == "web_search_albert_rag"
+
+    settings.AI_AGENT_TOOLS = ["get_current_weather"]
+    agent = ConversationAgent(model_hrid="default-model")
+    assert agent.get_web_search_tool_name() is None
+
+    settings.AI_AGENT_TOOLS = ["get_current_weather", "web_search_tavily", "web_search_albert_rag"]
+    agent = ConversationAgent(model_hrid="default-model")
+    assert agent.get_web_search_tool_name() == "web_search_tavily"
 
 
-def test_agent_is_web_search_configured_when_defined_in_model_config(settings):
-    """Web search is configured when LLModel.web_search is set."""
-    settings.LLM_CONFIGURATIONS = {
-        "default-model": LLModel(
-            hrid="default-model",
-            model_name="model-123",
-            human_readable_name="Default Model",
-            is_active=True,
-            icon=None,
-            system_prompt="You are a helpful assistant",
-            tools=[],
-            web_search="chat.tools.web_search_brave.web_search_brave_llm_context",
-            provider=LLMProvider(
-                hrid="default-provider",
-                base_url="https://api.llm.com/v1/",
-                api_key="test-key",
-            ),
-        ),
-    }
+@responses.activate
+def test_web_search_tool_avalability(settings):
+    """Test the web search tool availability according to context."""
+    responses.add(
+        responses.POST,
+        "https://api.tavily.com/search",
+        json={"results": []},
+        status=200,
+    )
+    context_deps = ContextDeps(conversation=None, user=None, web_search_enabled=True)
+
+    # No tools (context allows web search, but no tool configured)
     agent = ConversationAgent(model_hrid="default-model")
-    assert agent.is_web_search_configured() is True
+    with agent.override(model=TestModel(), deps=context_deps):
+        response = agent.run_sync("What tools do you have?")
+        assert response.output == "success (no tool calls)"
+
+    # Tool configured, context allows web search
+    settings.AI_AGENT_TOOLS = ["web_search_tavily"]
+    agent = ConversationAgent(model_hrid="default-model")  # re-init to pick up new settings
+    with agent.override(model=TestModel(), deps=context_deps):
+        response = agent.run_sync("What tools do you have?")
+        assert response.output == '{"web_search_tavily":[]}'
+
+    # Tool configured, context disables web search
+    context_deps.web_search_enabled = False
+    with agent.override(model=TestModel(), deps=context_deps):
+        response = agent.run_sync("What tools do you have?")
+        assert response.output == "success (no tool calls)"

src/backend/chat/tests/clients/pydantic_ai/test_smart_web_search.py

@@ -23,8 +23,7 @@ def _llm_config_with_websearch(settings):
             is_active=True,
             icon=None,
             system_prompt="You are an amazing assistant.",
-            tools=[],
-            web_search="chat.tools.web_search_brave.web_search_brave_llm_context",
+            tools=["web_search_brave_with_document_backend"],
             provider=LLMProvider(
                 hrid="unused",
                 base_url="https://example.com",
@@ -49,7 +48,6 @@ def test_smart_search_disabled_suppresses_tool_at_runtime(_llm_config_with_webse
     if not service._is_smart_search_enabled and service._is_web_search_enabled:
         service._context_deps.web_search_enabled = False
 
-    service._setup_web_search_tool()
     with service.conversation_agent.override(model=TestModel(), deps=service._context_deps):
         response = service.conversation_agent.run_sync("Search the web for something.")
 
@@ -67,11 +65,10 @@ def test_smart_search_enabled_tool_is_called(_llm_config_with_websearch):
     assert service._is_smart_search_enabled is True
     assert service._context_deps.web_search_enabled is True
 
-    service._setup_web_search_tool()
     with service.conversation_agent.override(model=TestModel(), deps=service._context_deps):
         response = service.conversation_agent.run_sync("Search the web for something.")
 
-    assert "web_search" in response.output
+    assert "web_search_brave_with_document_backend" in response.output
 
 
 def test_force_websearch_overrides_smart_search_disabled(_llm_config_with_websearch):
@@ -85,16 +82,14 @@ def test_force_websearch_overrides_smart_search_disabled(_llm_config_with_websea
     assert service._is_smart_search_enabled is False
     assert service._context_deps.web_search_enabled is False
 
-    # Match _run_agent: register the tool first, then enable deps + forced prompt.
-    service._setup_web_search_tool()
     service._setup_web_search(force_web_search=True)
 
-    assert service.conversation_agent.is_web_search_configured() is True
+    web_search_tool_name = service.conversation_agent.get_web_search_tool_name()
     assert service._context_deps.web_search_enabled is True
     assert any(
-        callable(instr) and "web_search" in instr()
+        callable(instr) and web_search_tool_name in instr()
         for instr in service.conversation_agent._instructions
     )
     with service.conversation_agent.override(model=TestModel(), deps=service._context_deps):
         response = service.conversation_agent.run_sync("Search the web for something.")
-        assert "web_search" in response.output
+        assert "web_search_brave_with_document_backend" in response.output

src/backend/chat/tests/tools/test_web_search_brave.py

@@ -21,14 +21,13 @@ from chat.tools.web_search_brave import (
     _extract_and_summarize_snippets_async,
     _fetch_and_extract_async,
     _fetch_and_store_async,
-    _query_brave_llm_context_api_async,
+    _query_brave_api_async,
     format_tool_return,
     web_search_brave,
     web_search_brave_with_document_backend,
 )
 
-BRAVE_WEB_SEARCH_URL = "https://api.search.brave.com/res/v1/web/search"
-BRAVE_LLM_CONTEXT_URL = "https://api.search.brave.com/res/v1/llm/context"
+BRAVE_URL = "https://api.search.brave.com/res/v1/web/search"
 
 
 @pytest.fixture(autouse=True)
@@ -68,7 +67,7 @@ def fixture_mocked_context():
 @respx.mock
 async def test_agent_web_search_brave_success_with_extra_snippets(mocked_context):
     """Test when the Brave search returns results with extra_snippets."""
-    respx.get(BRAVE_WEB_SEARCH_URL).mock(
+    respx.get(BRAVE_URL).mock(
         return_value=httpx.Response(
             status_code=200,
             json={
@@ -123,7 +122,7 @@ async def test_agent_web_search_brave_success_with_extra_snippets(mocked_context
 @respx.mock
 async def test_agent_web_search_brave_success_without_extra_snippets(mocked_context):
     """Test when the Brave search returns results without extra_snippets."""
-    respx.get(BRAVE_WEB_SEARCH_URL).mock(
+    respx.get(BRAVE_URL).mock(
         return_value=httpx.Response(
             status_code=200,
             json={
@@ -169,7 +168,7 @@ async def test_agent_web_search_brave_success_without_extra_snippets_summarizati
     """Test when the Brave search returns results without extra_snippets with summarization."""
     settings.BRAVE_SUMMARIZATION_ENABLED = True
 
-    respx.get(BRAVE_WEB_SEARCH_URL).mock(
+    respx.get(BRAVE_URL).mock(
         return_value=httpx.Response(
             status_code=200,
             json={
@@ -217,7 +216,7 @@ async def test_agent_web_search_brave_success_without_extra_snippets_summarizati
 @respx.mock
 async def test_agent_web_search_brave_empty_results(mocked_context):
     """Test when the Brave search returns no results."""
-    respx.get(BRAVE_WEB_SEARCH_URL).mock(
+    respx.get(BRAVE_URL).mock(
         return_value=httpx.Response(
             status_code=200,
             json={"web": {"results": []}},
@@ -234,7 +233,7 @@ async def test_agent_web_search_brave_empty_results(mocked_context):
 @respx.mock
 async def test_agent_web_search_brave_http_error(mocked_context):
     """Test handling of HTTP errors from Brave API."""
-    respx.get(BRAVE_WEB_SEARCH_URL).mock(
+    respx.get(BRAVE_URL).mock(
         return_value=httpx.Response(
             status_code=500,
             json={"error": "Internal Server Error"},
@@ -257,7 +256,7 @@ async def test_agent_web_search_brave_params_exclude_none(settings, mocked_conte
     settings.BRAVE_SEARCH_COUNTRY = None
     settings.BRAVE_SEARCH_LANG = None
 
-    respx.get(BRAVE_WEB_SEARCH_URL).mock(
+    respx.get(BRAVE_URL).mock(
         return_value=httpx.Response(
             status_code=200,
             json={"web": {"results": []}},
@@ -291,7 +290,7 @@ async def test_agent_web_search_brave_params_exclude_none(settings, mocked_conte
 @respx.mock
 async def test_agent_web_search_brave_concurrent_processing(mocked_context):
     """Test concurrent processing with asyncio.gather."""
-    respx.get(BRAVE_WEB_SEARCH_URL).mock(
+    respx.get(BRAVE_URL).mock(
         return_value=httpx.Response(
             status_code=200,
             json={
@@ -402,7 +401,7 @@ async def test_extract_and_summarize_snippets_summarization_failure(settings):
 @respx.mock
 async def test_web_search_brave_with_document_backend_success(mocked_context):
     """Test web_search_brave_with_document_backend with successful RAG search."""
-    respx.get(BRAVE_WEB_SEARCH_URL).mock(
+    respx.get(BRAVE_URL).mock(
         return_value=httpx.Response(
             status_code=200,
             json={
@@ -453,7 +452,7 @@ async def test_web_search_brave_with_document_backend_success(mocked_context):
 @respx.mock
 async def test_web_search_brave_with_document_backend_fetch_error(mocked_context):
     """Test web_search_brave_with_document_backend when document fetching fails."""
-    respx.get(BRAVE_WEB_SEARCH_URL).mock(
+    respx.get(BRAVE_URL).mock(
         return_value=httpx.Response(
             status_code=200,
             json={
@@ -496,7 +495,7 @@ async def test_web_search_brave_with_document_backend_no_matching_rag_results(mo
 
     This is actually a problematic scenario, but we want to ensure graceful handling.
     """
-    respx.get(BRAVE_WEB_SEARCH_URL).mock(
+    respx.get(BRAVE_URL).mock(
         return_value=httpx.Response(
             status_code=200,
             json={
@@ -566,37 +565,37 @@ async def test_fetch_and_store_empty_document():
 @pytest.mark.asyncio
 @respx.mock
 async def test_query_brave_api_missing_web_key():
-    """Test _query_brave_llm_context_api_async when response doesn't contain 'web' key."""
-    respx.get(BRAVE_LLM_CONTEXT_URL).mock(
+    """Test _query_brave_api_async when response doesn't contain 'web' key."""
+    respx.get(BRAVE_URL).mock(
         return_value=httpx.Response(
             status_code=200,
             json={"error": "no web results"},
         )
     )
 
-    result = await _query_brave_llm_context_api_async("query")
+    result = await _query_brave_api_async("query")
     assert not result
 
 
 @pytest.mark.asyncio
 @respx.mock
 async def test_query_brave_api_missing_results_key():
-    """Test _query_brave_llm_context_api_async when 'web' exists but 'results' is missing."""
-    respx.get(BRAVE_LLM_CONTEXT_URL).mock(
+    """Test _query_brave_api_async when 'web' exists but 'results' is missing."""
+    respx.get(BRAVE_URL).mock(
         return_value=httpx.Response(
             status_code=200,
             json={"web": {}},
         )
     )
-    result = await _query_brave_llm_context_api_async("query")
+    result = await _query_brave_api_async("query")
     assert not result
 
 
 @pytest.mark.asyncio
 @respx.mock
 async def test_query_brave_api_rate_limit():
-    """Test _query_brave_llm_context_api_async handles 429 rate limit errors."""
-    respx.get(BRAVE_LLM_CONTEXT_URL).mock(
+    """Test _query_brave_api_async handles 429 rate limit errors."""
+    respx.get(BRAVE_URL).mock(
         return_value=httpx.Response(
             status_code=429,
             json={"error": "Rate limit exceeded"},
@@ -604,7 +603,7 @@ async def test_query_brave_api_rate_limit():
     )
 
     with pytest.raises(ModelRetry) as exc:
-        await _query_brave_llm_context_api_async("query")
+        await _query_brave_api_async("query")
 
     assert "rate limited" in str(exc.value).lower()
 
@@ -612,8 +611,8 @@ async def test_query_brave_api_rate_limit():
 @pytest.mark.asyncio
 @respx.mock
 async def test_query_brave_api_client_error():
-    """Test _query_brave_llm_context_api_async handles 4xx client errors."""
-    respx.get(BRAVE_LLM_CONTEXT_URL).mock(
+    """Test _query_brave_api_async handles 4xx client errors."""
+    respx.get(BRAVE_URL).mock(
         return_value=httpx.Response(
             status_code=400,
             json={"error": "Bad request"},
@@ -621,7 +620,7 @@ async def test_query_brave_api_client_error():
     )
 
     with pytest.raises(ModelCannotRetry) as exc:
-        await _query_brave_llm_context_api_async("query")
+        await _query_brave_api_async("query")
 
     assert "client error" in str(exc.value).lower()
 
@@ -629,11 +628,11 @@ async def test_query_brave_api_client_error():
 @pytest.mark.asyncio
 @respx.mock
 async def test_query_brave_api_timeout():
-    """Test _query_brave_llm_context_api_async handles timeout errors."""
-    respx.get(BRAVE_LLM_CONTEXT_URL).mock(side_effect=httpx.TimeoutException("Request timed out"))
+    """Test _query_brave_api_async handles timeout errors."""
+    respx.get(BRAVE_URL).mock(side_effect=httpx.TimeoutException("Request timed out"))
 
     with pytest.raises(ModelRetry) as exc:
-        await _query_brave_llm_context_api_async("query")
+        await _query_brave_api_async("query")
 
     assert "timed out" in str(exc.value).lower()
 
@@ -641,11 +640,11 @@ async def test_query_brave_api_timeout():
 @pytest.mark.asyncio
 @respx.mock
 async def test_query_brave_api_generic_http_error():
-    """Test _query_brave_llm_context_api_async handles generic HTTP errors."""
-    respx.get(BRAVE_LLM_CONTEXT_URL).mock(side_effect=httpx.ConnectError("Connection failed"))
+    """Test _query_brave_api_async handles generic HTTP errors."""
+    respx.get(BRAVE_URL).mock(side_effect=httpx.ConnectError("Connection failed"))
 
     with pytest.raises(ModelRetry) as exc:
-        await _query_brave_llm_context_api_async("query")
+        await _query_brave_api_async("query")
 
     assert "connection error" in str(exc.value).lower()
 
@@ -653,11 +652,11 @@ async def test_query_brave_api_generic_http_error():
 @pytest.mark.asyncio
 @respx.mock
 async def test_query_brave_api_unexpected_error():
-    """Test _query_brave_llm_context_api_async handles unexpected errors."""
-    respx.get(BRAVE_LLM_CONTEXT_URL).mock(side_effect=ValueError("Unexpected value error"))
+    """Test _query_brave_api_async handles unexpected errors."""
+    respx.get(BRAVE_URL).mock(side_effect=ValueError("Unexpected value error"))
 
     with pytest.raises(ModelCannotRetry) as exc:
-        await _query_brave_llm_context_api_async("query")
+        await _query_brave_api_async("query")
 
     assert "unexpected error" in str(exc.value).lower()
 
@@ -769,7 +768,7 @@ async def test_fetch_and_store_extraction_error():
 @respx.mock
 async def test_web_search_brave_mixed_results(mocked_context):
     """Test web_search_brave with mixed results (some with snippets, some without)."""
-    respx.get(BRAVE_WEB_SEARCH_URL).mock(
+    respx.get(BRAVE_URL).mock(
         return_value=httpx.Response(
             status_code=200,
             json={
@@ -813,7 +812,7 @@ async def test_web_search_brave_mixed_results(mocked_context):
 @respx.mock
 async def test_web_search_brave_extraction_fails_for_all(mocked_context):
     """Test web_search_brave when extraction fails for all results without snippets."""
-    respx.get(BRAVE_WEB_SEARCH_URL).mock(
+    respx.get(BRAVE_URL).mock(
         return_value=httpx.Response(
             status_code=200,
             json={
@@ -846,7 +845,7 @@ async def test_web_search_brave_extraction_fails_for_all(mocked_context):
 @respx.mock
 async def test_web_search_brave_model_cannot_retry_exception(mocked_context):
     """Test web_search_brave handling of ModelCannotRetry from API."""
-    respx.get(BRAVE_WEB_SEARCH_URL).mock(
+    respx.get(BRAVE_URL).mock(
         return_value=httpx.Response(
             status_code=403,
             json={"error": "Forbidden"},
@@ -864,7 +863,7 @@ async def test_web_search_brave_model_cannot_retry_exception(mocked_context):
 @respx.mock
 async def test_web_search_brave_unexpected_exception(mocked_context):
     """Test web_search_brave handling of unexpected exceptions."""
-    respx.get(BRAVE_WEB_SEARCH_URL).mock(
+    respx.get(BRAVE_URL).mock(
         return_value=httpx.Response(
             status_code=200,
             json={
@@ -895,7 +894,7 @@ async def test_web_search_brave_unexpected_exception(mocked_context):
 @respx.mock
 async def test_web_search_brave_with_document_backend_empty_rag_results(mocked_context):
     """Test web_search_brave_with_document_backend when RAG search returns empty results."""
-    respx.get(BRAVE_WEB_SEARCH_URL).mock(
+    respx.get(BRAVE_URL).mock(
         return_value=httpx.Response(
             status_code=200,
             json={
@@ -930,7 +929,7 @@ async def test_web_search_brave_with_document_backend_empty_rag_results(mocked_c
 @respx.mock
 async def test_web_search_brave_with_document_backend_store_exception(mocked_context):
     """Test web_search_brave_with_document_backend when document store raises exception."""
-    respx.get(BRAVE_WEB_SEARCH_URL).mock(
+    respx.get(BRAVE_URL).mock(
         return_value=httpx.Response(
             status_code=200,
             json={
@@ -959,7 +958,7 @@ async def test_web_search_brave_with_document_backend_store_exception(mocked_con
 @respx.mock
 async def test_web_search_brave_with_document_backend_unexpected_exception(mocked_context):
     """Test web_search_brave_with_document_backend handling of unexpected exceptions."""
-    respx.get(BRAVE_WEB_SEARCH_URL).mock(side_effect=TypeError("Unexpected type error"))
+    respx.get(BRAVE_URL).mock(side_effect=TypeError("Unexpected type error"))
 
     result = await web_search_brave_with_document_backend(mocked_context, "error query")
     assert result == (
@@ -972,7 +971,7 @@ async def test_web_search_brave_with_document_backend_unexpected_exception(mocke
 @respx.mock
 async def test_web_search_brave_with_document_backend_model_cannot_retry(mocked_context):
     """Test web_search_brave_with_document_backend handling of ModelCannotRetry."""
-    respx.get(BRAVE_WEB_SEARCH_URL).mock(
+    respx.get(BRAVE_URL).mock(
         return_value=httpx.Response(
             status_code=401,
             json={"error": "Unauthorized"},
@@ -990,7 +989,7 @@ async def test_web_search_brave_with_document_backend_model_cannot_retry(mocked_
 @respx.mock
 async def test_web_search_brave_with_document_backend_rag_search_params(mocked_context):
     """Test web_search_brave_with_document_backend passes correct parameters to RAG search."""
-    respx.get(BRAVE_WEB_SEARCH_URL).mock(
+    respx.get(BRAVE_URL).mock(
         return_value=httpx.Response(
             status_code=200,
             json={

src/backend/chat/tests/views/projects/test_create.py

@@ -78,24 +78,6 @@ def test_create_project_with_llm_instructions(api_client):
     assert project.llm_instructions == "Always answer in French."
 
 
-@pytest.mark.parametrize("color", ChatProjectColor)
-def test_create_project_with_each_color(api_client, color):
-    """Test creating a project with each available color."""
-    user = UserFactory()
-    url = "/api/v1.0/projects/"
-    data = {
-        "title": "Color Project",
-        "icon": ChatProjectIcon.FOLDER,
-        "color": color,
-    }
-    api_client.force_login(user)
-    response = api_client.post(url, data, format="json")
-
-    assert response.status_code == status.HTTP_201_CREATED
-    project = ChatProject.objects.get(id=response.data["id"])
-    assert project.color == color
-
-
 def test_create_project_anonymous(api_client):
     """Test creating a project as an anonymous user returns a 401 error."""
     url = "/api/v1.0/projects/"

src/backend/chat/tools/__init__.py

@@ -1,13 +1,46 @@
 """Tools for the chat agent."""
 
-from pydantic_ai import Tool  # noqa: I001
+from pydantic_ai import Tool, ToolDefinition
+
 from .fake_current_weather import get_current_weather
+from .web_seach_albert_rag import web_search_albert_rag
+from .web_search_brave import web_search_brave, web_search_brave_with_document_backend
+from .web_search_tavily import web_search_tavily
+
+
+async def only_if_web_search_enabled(ctx, tool_def: ToolDefinition) -> ToolDefinition | None:
+    """Prepare function to include a tool only if web search is enabled in the context."""
+    return tool_def if ctx.deps.web_search_enabled else None
 
 
 def get_pydantic_tools_by_name(name: str) -> Tool:
     """Get a tool by its name."""
     tool_dict = {
         "get_current_weather": Tool(get_current_weather, takes_ctx=False),
+        "web_search_brave": Tool(
+            web_search_brave,
+            takes_ctx=True,
+            prepare=only_if_web_search_enabled,
+            max_retries=2,
+        ),
+        "web_search_brave_with_document_backend": Tool(
+            web_search_brave_with_document_backend,
+            takes_ctx=True,
+            prepare=only_if_web_search_enabled,
+            max_retries=2,
+        ),
+        "web_search_tavily": Tool(
+            web_search_tavily,
+            takes_ctx=False,
+            prepare=only_if_web_search_enabled,
+            max_retries=2,
+        ),
+        "web_search_albert_rag": Tool(
+            web_search_albert_rag,
+            takes_ctx=True,
+            prepare=only_if_web_search_enabled,
+            max_retries=2,
+        ),
     }
 
     return tool_dict[name]  # will raise on purpose if name is not found

src/backend/chat/tools/web_search_brave.py

@@ -142,33 +142,23 @@ async def _fetch_and_store_async(url: str, document_store, **kwargs) -> None:
         # Continue with other documents
 
 
-def _normalize_llm_context_results(json_response: dict) -> List[dict]:
-    """Normalize Brave LLM context payload into our common result shape."""
-    generic_results = json_response.get("grounding", {}).get("generic", []) or []
-    normalized_results: List[dict] = []
-    for item in generic_results:
-        item_url = item.get("url")
-        if not item_url:
-            continue
-
-        normalized_results.append(
-            {
-                "url": item_url,
-                # Fallback to URL if no title is provided
-                "title": item.get("title") or item_url,
-                # `snippets` is already a list
-                "snippets": item.get("snippets") or [],
-            }
-        )
-    return normalized_results
-
-
-async def _query_brave_api_with_endpoint_async(url: str, data: dict) -> List[dict]:
-    """Query a Brave endpoint and return raw results normalized to our schema."""
+async def _query_brave_api_async(query: str) -> List[dict]:
+    """Query the Brave Search API and return the raw results."""
+    url = "https://api.search.brave.com/res/v1/web/search"
     headers = {
         "Accept": "application/json",
         "X-Subscription-Token": settings.BRAVE_API_KEY,
     }
+    data = {
+        "q": query,
+        "country": settings.BRAVE_SEARCH_COUNTRY,
+        "search_lang": settings.BRAVE_SEARCH_LANG,
+        "count": settings.BRAVE_MAX_RESULTS,
+        "safesearch": settings.BRAVE_SEARCH_SAFE_SEARCH,
+        "spellcheck": settings.BRAVE_SEARCH_SPELLCHECK,
+        "result_filter": "web,faq,query",
+        "extra_snippets": settings.BRAVE_SEARCH_EXTRA_SNIPPETS,
+    }
     params = {k: v for k, v in data.items() if v is not None}
 
     try:
@@ -177,12 +167,6 @@ async def _query_brave_api_with_endpoint_async(url: str, data: dict) -> List[dic
             response.raise_for_status()
             json_response = response.json()
 
-            # LLM context API: results are under `grounding.generic`
-            # See: https://api-dashboard.search.brave.com/documentation/services/llm-context
-            if "grounding" in json_response:
-                return _normalize_llm_context_results(json_response)
-
-            # Fallback for classic web search JSON shape
             # https://api-dashboard.search.brave.com/app/documentation/web-search/responses#Result
             return json_response.get("web", {}).get("results", [])
 
@@ -225,99 +209,44 @@ async def _query_brave_api_with_endpoint_async(url: str, data: dict) -> List[dic
         ) from e
 
 
-async def _query_brave_llm_context_api_async(query: str) -> List[dict]:
-    """Query Brave LLM context endpoint and return normalized results."""
-    logger.debug("Using LLM context endpoint")
-    return await _query_brave_api_with_endpoint_async(
-        "https://api.search.brave.com/res/v1/llm/context",
-        {
-            "q": query,
-            "country": settings.BRAVE_SEARCH_COUNTRY,
-            "search_lang": settings.BRAVE_SEARCH_LANG,
-            "count": settings.BRAVE_MAX_RESULTS,
-            "safesearch": settings.BRAVE_SEARCH_SAFE_SEARCH,
-            "spellcheck": settings.BRAVE_SEARCH_SPELLCHECK,
-            "result_filter": "web,faq,query",
-            "extra_snippets": settings.BRAVE_SEARCH_EXTRA_SNIPPETS,
-            "maximum_number_of_urls": settings.BRAVE_MAX_RESULTS,
-            "maximum_number_of_tokens": settings.BRAVE_MAX_TOKENS,
-            "maximum_number_of_snippets": settings.BRAVE_MAX_SNIPPETS,
-            "maximum_number_of_snippets_per_url": settings.BRAVE_MAX_SNIPPETS_PER_URL,
-        },
-    )
-
-
-async def _query_brave_web_search_api_async(query: str) -> List[dict]:
-    """Query Brave classic web search endpoint and return normalized results."""
-    logger.debug("Using classic web search endpoint")
-    return await _query_brave_api_with_endpoint_async(
-        "https://api.search.brave.com/res/v1/web/search",
-        {
-            "q": query,
-            "country": settings.BRAVE_SEARCH_COUNTRY,
-            "search_lang": settings.BRAVE_SEARCH_LANG,
-            "count": settings.BRAVE_MAX_RESULTS,
-            "safesearch": settings.BRAVE_SEARCH_SAFE_SEARCH,
-            "spellcheck": settings.BRAVE_SEARCH_SPELLCHECK,
-            "result_filter": "web,faq,query",
-            "extra_snippets": settings.BRAVE_SEARCH_EXTRA_SNIPPETS,
-        },
-    )
-
-
 def format_tool_return(raw_search_results: List[dict]) -> ToolReturn:
-    """Build the tool payload from Brave results.
-
-    Keep only sources that have non-empty snippets and prefer `snippets` over
-    `extra_snippets` when both are present.
-    """
-    formatted_results = {}
-    sources = set()
-
-    for idx, result in enumerate(raw_search_results):
-        logger.debug("Formatting result: %s", result)
-        snippets = result.get("snippets") or result.get("extra_snippets") or []
-        if not snippets:
-            continue
-
-        formatted_results[str(idx)] = {
-            "url": result["url"],
-            "title": result["title"],
-            "snippets": snippets,
-        }
-        sources.add(result["url"])
-
+    """Format the raw search results into a ToolReturn object."""
     return ToolReturn(
-        return_value=formatted_results,
-        metadata={"sources": sources},
+        # Format return value "mistral-like": https://docs.mistral.ai/capabilities/citations/
+        return_value={
+            str(idx): {
+                "url": result["url"],
+                "title": result["title"],
+                "snippets": result.get("extra_snippets", []),
+            }
+            for idx, result in enumerate(raw_search_results)
+            if result.get("extra_snippets", [])
+        },
+        metadata={
+            "sources": {
+                result["url"] for result in raw_search_results if result.get("extra_snippets", [])
+            }
+        },
     )
 
 
 @last_model_retry_soft_fail
 async def web_search_brave(_ctx: RunContext, query: str) -> ToolReturn:
     """
-    Search the web for up-to-date information.
-    This function use the classic websearch endpoint of the Brave API.
-    URLs are then fetched and extracted using trafilatura.
-    The extracted text is then summarized using the LLM summarization agent.
-    The results are then formatted and returned.
+    Search the web for up-to-date information
 
     Args:
         _ctx (RunContext): The run context, used by the wrapper.
         query (str): The query to search for.
     """
-    logger.debug("Starting classic web search without RAG backend for query: %s", query)
     try:
-        raw_search_results = await _query_brave_web_search_api_async(query)
+        raw_search_results = await _query_brave_api_async(query)
 
         await sync_to_async(reset_caches)()  # Clear trafilatura caches to avoid memory bloat/leaks
 
-        # Parallelize fetch/extract only for results that don't already include any snippets
-        # (neither Brave `snippets` nor `extra_snippets`).
+        # Parallelize fetch/extract for results that don't include extra_snippets
         to_process = [
-            (idx, r)
-            for idx, r in enumerate(raw_search_results)
-            if not r.get("extra_snippets") and not r.get("snippets")
+            (idx, r) for idx, r in enumerate(raw_search_results) if not r.get("extra_snippets")
         ]
 
         if to_process:
@@ -354,45 +283,18 @@ async def web_search_brave(_ctx: RunContext, query: str) -> ToolReturn:
         ) from exc
 
 
-@last_model_retry_soft_fail
-async def web_search_brave_llm_context(_ctx: RunContext, query: str) -> ToolReturn:
-    """
-    Search the web using Brave LLM context endpoint (no RAG post-processing).
-    This function use the LLM context endpoint of the Brave API.
-    The results are then formatted and returned.
-    """
-    logger.debug("Starting web search with LLM context endpoint for query: %s", query)
-    try:
-        raw_search_results = await _query_brave_llm_context_api_async(query)
-        formatted_result = format_tool_return(raw_search_results)
-        if not formatted_result.return_value:
-            raise ModelRetry("No valid search results were extracted from Brave LLM context.")
-        return formatted_result
-    except (ModelCannotRetry, ModelRetry):
-        raise
-    except Exception as exc:
-        logger.exception("Unexpected error in web_search_brave_llm_context: %s", exc)
-        raise ModelCannotRetry(
-            f"An unexpected error occurred during web search: {type(exc).__name__}. "
-            "You must explain this to the user and not try to answer based on your knowledge."
-        ) from exc
-
-
 @last_model_retry_soft_fail
 async def web_search_brave_with_document_backend(ctx: RunContext, query: str) -> ToolReturn:
     """
-    Search the web for up-to-date information using RAG backend.
-    URLs are then fetched and extracted using trafilatura.
-    The extracted text is then stored in a temporary document store for RAG search.
-    The RAG search is then performed and the results are returned.
+    Search the web for up-to-date information using RAG backend
 
     Args:
         ctx (RunContext): The run context containing the conversation.
         query (str): The query to search for.
     """
-    logger.debug("Starting web search with RAG backend for query: %s", query)
+    logger.info("Starting web search with RAG backend for query: %s", query)
     try:
-        raw_search_results = await _query_brave_web_search_api_async(query)
+        raw_search_results = await _query_brave_api_async(query)
 
         # Clear trafilatura caches in thread pool to avoid blocking
         loop = asyncio.get_event_loop()
@@ -426,7 +328,7 @@ async def web_search_brave_with_document_backend(ctx: RunContext, query: str) ->
                     session=ctx.deps.session,
                     user_sub=ctx.deps.user.sub,
                 )
-                logger.debug("RAG search returned:  %s", rag_results)
+                logger.info("RAG search returned:  %s", rag_results)
 
                 ctx.usage += RunUsage(
                     input_tokens=rag_results.usage.prompt_tokens,

src/backend/conversations/brave_settings.py

@@ -74,20 +74,3 @@ class BraveSettings:
         environ_name="BRAVE_SEARCH_EXTRA_SNIPPETS",
         environ_prefix=None,
     )
-
-    # LLM context endpoint limits
-    BRAVE_MAX_TOKENS = values.IntegerValue(
-        default=8192,
-        environ_name="BRAVE_MAX_TOKENS",
-        environ_prefix=None,
-    )
-    BRAVE_MAX_SNIPPETS = values.IntegerValue(
-        default=50,
-        environ_name="BRAVE_MAX_SNIPPETS",
-        environ_prefix=None,
-    )
-    BRAVE_MAX_SNIPPETS_PER_URL = values.IntegerValue(
-        default=10,
-        environ_name="BRAVE_MAX_SNIPPETS_PER_URL",
-        environ_prefix=None,
-    )

src/backend/conversations/settings.py

@@ -368,7 +368,6 @@ class Base(BraveSettings, Configuration):
         "django.contrib.staticfiles",
         # OIDC third party
         "mozilla_django_oidc",
-        "lasuite.malware_detection",
     ]
 
     # Cache

src/backend/pyproject.toml

@@ -23,15 +23,15 @@ description = "An application to chat with your own AI."
 keywords = ["Django", "AI", "Chatbot", "OpenAI", "Pydantic AI", "Conversations"]
 license = { file = "LICENSE" }
 readme = "README.md"
-requires-python = "~=3.13.0"
+requires-python = "~=3.14.3"
 dependencies = [
     "deprecated",
-    "beautifulsoup4==4.14.2",
-    "boto3==1.40.73",
+    "beautifulsoup4==4.14.3",
+    "boto3==1.42.68",
     "Brotli==1.2.0",
     "django-configurations==2.5.1",
     "django-cors-headers==4.9.0",
-    "django-countries==8.1.0",
+    "django-countries==8.2.0",
     "django-filter==25.2",
     "django-lasuite[all]==0.0.25",
     "django-parler==2.3",
@@ -39,35 +39,35 @@ dependencies = [
     "django-redis==6.0.0",
     "django-storages[s3]==1.14.6",
     "django-timezone-field>=5.1",
-    "django==5.2.12",
+    "django==6.0.3",
     "djangorestframework==3.16.1",
     "drf_spectacular==0.29.0",
-    "dockerflow==2024.4.2",
+    "dockerflow==2026.3.4",
     "easy_thumbnails==2.10.1",
     "factory_boy==3.3.3",
-    "gunicorn==23.0.0",
+    "gunicorn==25.1.0",
     "jaraco.context>=6.1.0",
-    "jsonschema==4.25.1",
-    "langfuse==3.10.0",
+    "jsonschema==4.26.0",
+    "langfuse==4.0.0",
     "lxml==5.4.0",
-    "markdown==3.10",
+    "markdown==3.10.2",
     "markitdown==0.0.2",
-    "mozilla-django-oidc==4.0.1",
+    "mozilla-django-oidc==5.0.2",
     "nested-multipart-parser==1.6.0",
-    "posthog==7.0.0",
-    "pydantic==2.12.4",
-    "pydantic-ai-slim[openai,mistral,mcp,evals,logfire]==1.62.0",
-    "psycopg[binary]==3.2.12",
-    "PyJWT==2.12.0",
+    "posthog==7.9.12",
+    "pydantic==2.12.5",
+    "pydantic-ai-slim[openai,mistral,mcp,evals,logfire]==1.68.0",
+    "psycopg[binary]==3.3.3",
+    "PyJWT==2.10.1",
     "python-magic==0.4.27",
     "redis<6.0.0",
     "requests==2.32.5",
     "semchunk==3.2.5",
-    "sentry-sdk==2.44.0",
+    "sentry-sdk==2.54.0",
     "trafilatura==2.0.0",
-    "uvicorn==0.38.0",
-    "whitenoise==6.11.0",
-    "pypdf==6.9.1",
+    "uvicorn==0.41.0",
+    "whitenoise==6.12.0",
+    "pypdf==6.8.0",
 ]
 
 [project.urls]
@@ -78,27 +78,27 @@ dependencies = [
 
 [project.optional-dependencies]
 dev = [
-    "dirty-equals==0.10.0",
+    "dirty-equals==0.11",
     "django-extensions==4.1",
     "django-test-migrations==1.5.0",
-    "drf-spectacular-sidecar==2025.10.1",
+    "drf-spectacular-sidecar==2026.3.1",
     "freezegun==1.5.5",
     "ipdb==0.13.13",
-    "ipython==9.7.0",
-    "pyfakefs==5.10.2",
-    "pylint-django==2.6.1",
+    "ipython==9.11.0",
+    "pyfakefs==6.1.5",
+    "pylint-django==2.7.0",
     "pylint==3.3.9",
     "pylint-pydantic==0.4.1",
     "pytest-asyncio==1.3.0",
     "pytest-cov==7.0.0",
-    "pytest-django==4.11.1",
-    "pytest==9.0.1",
+    "pytest-django==4.12.0",
+    "pytest==9.0.2",
     "pytest-icdiff==0.9",
     "pytest-xdist==3.8.0",
-    "responses==0.25.8",
+    "responses==0.26.0",
     "respx==0.22.0",
-    "ruff==0.14.5",
-    "types-requests==2.32.4.20250913",
+    "ruff==0.15.6",
+    "types-requests==2.32.4.20260107",
 ]
 
 [tool.setuptools]
@@ -115,7 +115,6 @@ required-environments = [
 ]
 override-dependencies = [
     "cryptography>=46.0.5", # CVE-2026-26007
-    "joserfc>=1.6.3", # CVE-2026-27932
     "pillow>=12.1.1", #CVE-2026-25990
 ]
 

src/frontend/apps/conversations/next-env.d.ts

@@ -1,6 +1,5 @@
 /// <reference types="next" />
 /// <reference types="next/image-types/global" />
-import "./.next/dev/types/routes.d.ts";
 
 // NOTE: This file should not be edited
 // see https://nextjs.org/docs/pages/api-reference/config/typescript for more information.

src/frontend/apps/conversations/next.config.js

@@ -1,5 +1,7 @@
 const crypto = require('crypto');
 
+const { InjectManifest } = require('workbox-webpack-plugin');
+
 const buildId = crypto.randomBytes(256).toString('hex').slice(0, 8);
 
 /** @type {import('next').NextConfig} */
@@ -10,22 +12,44 @@ const nextConfig = {
     unoptimized: true,
   },
   compiler: {
+    // Enables the styled-components SWC transform
     styledComponents: true,
   },
   generateBuildId: () => buildId,
   env: {
     NEXT_PUBLIC_BUILD_ID: buildId,
   },
-  turbopack: {
-    rules: {
-      '*.svg': {
-        loaders: ['@svgr/webpack'],
-        as: '*.js',
+  webpack(config, { isServer }) {
+    // Grab the existing rule that handles SVG imports
+    const fileLoaderRule = config.module.rules.find((rule) =>
+      rule.test?.test?.('.svg'),
+    );
+
+    config.module.rules.push(
+      // Reapply the existing rule, but only for svg imports ending in ?url
+      {
+        ...fileLoaderRule,
+        test: /\.svg$/i,
+        resourceQuery: /url/, // *.svg?url
       },
-    },
-    resolveAlias: {
-      'micromark-extension-math': 'micromark-extension-llm-math',
-    },
+      // Convert all other *.svg imports to React components
+      {
+        test: /\.svg$/i,
+        issuer: fileLoaderRule.issuer,
+        resourceQuery: { not: [...fileLoaderRule.resourceQuery.not, /url/] }, // exclude if *.svg?url
+        use: ['@svgr/webpack'],
+      },
+    );
+
+    // Modify the file loader rule to ignore *.svg, since we have it handled now.
+    fileLoaderRule.exclude = /\.svg$/i;
+
+    // Formula rendering in markdown, replace dollar-sign with \(...\) and \[...\]
+    // https://github.com/remarkjs/remark-math/issues/39#issuecomment-2636184992
+    config.resolve.alias['micromark-extension-math'] =
+      'micromark-extension-llm-math';
+
+    return config;
   },
 };
 

src/frontend/apps/conversations/package.json

@@ -37,11 +37,11 @@
     "lottie-react": "^2.4.1",
     "luxon": "3.6.1",
     "micromark-extension-llm-math": "3.1.1-20250610",
-    "next": "16.2.0",
+    "next": "15.3.9",
     "posthog-js": "1.249.3",
-    "react": "19.2.4",
+    "react": "19.2.1",
     "react-aria-components": "1.9.0",
-    "react-dom": "19.2.4",
+    "react-dom": "19.2.1",
     "react-i18next": "15.5.2",
     "react-intersection-observer": "9.16.0",
     "react-markdown": "10.1.0",
@@ -65,23 +65,22 @@
     "@types/lodash": "4.17.17",
     "@types/luxon": "3.6.2",
     "@types/node": "*",
-    "@types/react": "19.2.14",
-    "@types/react-dom": "19.2.3",
+    "@types/react": "*",
+    "@types/react-dom": "*",
+    "cross-env": "7.0.3",
     "dotenv": "16.5.0",
-    "eslint": "^9",
     "eslint-config-conversations": "*",
-    "eslint-config-next": "16.2.0",
     "fetch-mock": "9.11.0",
     "jest": "29.7.0",
     "jest-environment-jsdom": "29.7.0",
+    "node-fetch": "2.7.0",
     "prettier": "3.5.3",
+    "sass": "^1.97.3",
     "stylelint": "16.20.0",
     "stylelint-config-standard": "38.0.0",
     "stylelint-prettier": "5.0.3",
-    "typescript": "*"
-  },
-  "resolutions": {
-    "@types/react": "19.2.14",
-    "@types/react-dom": "19.2.3"
+    "typescript": "*",
+    "webpack": "5.99.9",
+    "workbox-webpack-plugin": "7.1.0"
   }
 }

src/frontend/apps/conversations/tsconfig.json

@@ -11,7 +11,7 @@
     "moduleResolution": "bundler",
     "resolveJsonModule": true,
     "isolatedModules": true,
-    "jsx": "react-jsx",
+    "jsx": "preserve",
     "incremental": true,
     "plugins": [
       {

src/frontend/apps/e2e/package.json

@@ -12,10 +12,14 @@
     "test:ui::chromium": "yarn test:ui --project=chromium"
   },
   "devDependencies": {
-    "@playwright/test": "1.56.0",
+    "@playwright/test": "1.52.0",
     "@types/node": "*",
+    "@types/pdf-parse": "1.1.5",
     "eslint-config-conversations": "*",
     "typescript": "*"
   },
-  "dependencies": {}
+  "dependencies": {
+    "convert-stream": "1.0.2",
+    "pdf-parse": "1.1.1"
+  }
 }

src/frontend/apps/e2e/type/convert-stream.d.ts

@@ -0,0 +1,5 @@
+declare module 'convert-stream' {
+  export function toBuffer(
+    readableStream: NodeJS.ReadableStream,
+  ): Promise<Buffer>;
+}

src/frontend/package.json

@@ -27,17 +27,14 @@
   },
   "resolutions": {
     "@types/node": "22.15.29",
-    "@types/react": "19.2.14",
-    "@types/react-dom": "19.2.3",
+    "@types/react": "19.1.6",
+    "@types/react-dom": "19.1.6",
     "@typescript-eslint/eslint-plugin": "8.33.1",
     "@typescript-eslint/parser": "8.33.1",
     "eslint": "^9.0.0",
-    "react": "19.2.4",
-    "react-dom": "19.2.4",
+    "react": "19.2.1",
+    "react-dom": "19.2.1",
     "typescript": "5.8.3",
-    "minimatch": ">=10.2.1",
-    "flatted": ">=3.4.0",
-    "rollup": ">=4.59.0",
-    "undici": ">=7.24.0"
+    "minimatch": ">=10.2.1"
   }
 }