✨(tests) fix tests

Extract large _run_agent method into smaller focused methods
Add comprehensive module and method documentation
Minor fixes

Signed-off-by: Laurent Paoletti <lp@providenz.fr>

.codespellrc

@@ -9,9 +9,11 @@ skip =
     **/e2e/report/**,
     *.tsbuildinfo,
     **/uv.lock,
+    ./docker/files/etc/mime.types,
 check-filenames = true
 ignore-words-list =
     afterAll,
     statics,
 exclude-file =
     ./src/backend/chat/agent_rag/web_search/mocked.py,
+

.github/workflows/conversations.yml

@@ -200,7 +200,7 @@ jobs:
       - name: Install gettext (required to compile messages) and MIME support
         run: |
           sudo apt-get install -y gettext pandoc shared-mime-info
-          sudo wget https://svn.apache.org/repos/asf/httpd/httpd/trunk/docs/conf/mime.types -O /etc/mime.types
+          sudo cp $GITHUB_WORKSPACE/docker/files/etc/mime.types /etc/mime.types
 
       - name: Generate a MO file from strings extracted from the project
         run: uv run python manage.py compilemessages

.gitignore

@@ -44,6 +44,9 @@ env.d/development/*
 !env.d/development/*.dist
 env.d/terraform
 
+# Configuration
+**/conversations/configuration/llm/dev.json
+
 # npm
 node_modules
 

CHANGELOG.md

@@ -10,11 +10,44 @@ and this project adheres to
 
 ### Added
 
-- 🧱(files) allow to use S3 storage without external access #849
+- ✨(waffle) hide the waffle if not fr theme
+- ✨(front) allow pasting an attachment from clipboard
+- ✨(array) temporarily adjust array
+- ✨(tools) add basic translate tool
 
 ### Changed
 
+- ⚡️(front) optimize streaming markdown rendering performance
+- ⬆️(back) update pydantic-ai
+- ♻️(chat) refactor AIAgentService for readability and maintainability
+
+### Fixed
+
+- 💚(docker) vendor mime.types file instead of fetching from Apache SVN
+- 🐛(front) fix math formulas and carousel translations
+- 🐛(helm) reverse liveness and readiness for backend deployment
+
+## [0.0.13] - 2026-02-09
+
+### Added
+
+- 💄(front) ui fix : update ui-kit
+- ✨(front) add persistent darkmode
+- ✨(front) add ui kit #240
+- 🧱(files) allow to use S3 storage without external access #849
+- ✨(backend) add FindRagBackend #209
+- ⬆️(back) update dependencies
+- ✨(back) use adaptive parsing for pdf documents
+
+### Changed
+
+- 💄(darkmode) change color feedback button
 - 🏗️(back) migrate to uv
+- ♻️(front) optimize syntax highlighting bundle size
+
+### Fixed
+
+-  🐛(back) cast collection Ids to API expected types
 
 ## [0.0.12] - 2026-01-27
 
@@ -32,7 +65,7 @@ and this project adheres to
 ### Changed
 
 - 📦️(front) update react
-- ✨(chat) Generate and edit conversation title
+- ✨(chat) generate and edit conversation title
 
 
 ### Fixed
@@ -42,6 +75,7 @@ and this project adheres to
 - ⚰️(back) remove dead code and unused files
 - 🐛(back) prevent tool call timeouts
 
+
 ### Removed
 
 - 🔥(chat) remove thinking part from frontend #227
@@ -200,7 +234,8 @@ and this project adheres to
 - 💄(chat) add code highlighting for LLM responses #67
 
 
-[unreleased]: https://github.com/suitenumerique/conversations/compare/v0.0.12...main
+[unreleased]: https://github.com/suitenumerique/conversations/compare/v0.0.13...main
+[0.0.13]: https://github.com/suitenumerique/conversations/releases/v0.0.13
 [0.0.12]: https://github.com/suitenumerique/conversations/releases/v0.0.12
 [0.0.11]: https://github.com/suitenumerique/conversations/releases/v0.0.11
 [0.0.10]: https://github.com/suitenumerique/conversations/releases/v0.0.10

Dockerfile

@@ -93,7 +93,7 @@ RUN apk add \
   pango \
   shared-mime-info
 
-RUN wget https://svn.apache.org/repos/asf/httpd/httpd/trunk/docs/conf/mime.types -O /etc/mime.types
+COPY ./docker/files/etc/mime.types /etc/mime.types
 
 # Copy entrypoint
 COPY ./docker/files/usr/local/bin/entrypoint /usr/local/bin/entrypoint

compose.yml

@@ -71,6 +71,9 @@ services:
       - "host.docker.internal:host-gateway"
     ports:
       - "8071:8000"
+    networks:
+      - default
+      - lasuite
     volumes:
       - ./src/backend:/app
       - ./data/static:/data/static
@@ -90,6 +93,9 @@ services:
     image: nginx:1.25
     ports:
       - "8083:8083"
+    networks:
+      - default
+      - lasuite
     volumes:
       - ./docker/files/etc/nginx/conf.d:/etc/nginx/conf.d:ro
     depends_on:
@@ -178,3 +184,8 @@ services:
       kc_postgresql:
         condition: service_healthy
         restart: true
+
+networks:
+  lasuite:
+    name: lasuite-network
+    driver: bridge

docs/env.md

@@ -95,6 +95,9 @@ These are the environment variables you can set for the `conversations-backend`
 | CACHES_KEY_PREFIX                               | The prefix used to every cache keys.                                                                                              | conversations                                           |
 | THEME_CUSTOMIZATION_FILE_PATH                   | full path to the file customizing the theme. An example is provided in src/backend/conversations/configuration/theme/default.json | BASE_DIR/conversations/configuration/theme/default.json |
 | THEME_CUSTOMIZATION_CACHE_TIMEOUT               | Cache duration for the customization settings                                                                                     | 86400                                                   |
+| FIND_API_KEY                                    | API key of Find                                                                                                                   |                                                         |
+| FIND_API_URL                                    | URL of Find                                                                                                                       | `https://app-find/api`                                  |
+| FIND_API_TIMEOUT                                | Find API timeout                                                                                                                  | 30                                                      |
 
 
 ## conversations-frontend image

docs/llm-configuration.md

@@ -244,9 +244,9 @@ For Mistral AI models using the Etalab platform:
 {
   "models": [
     {
-      "hrid": "mistral-large",
-      "model_name": "mistral-large-latest",
-      "human_readable_name": "Mistral Large (Etalab)",
+      "hrid": "mistral-medium",
+      "model_name": "mistral-medium-2508",
+      "human_readable_name": "Mistral Medium (Etalab)",
       "provider_name": "mistral-etalab",
       "profile": null,
       "settings": {

docs/tools/web_search_brave.md

@@ -357,6 +357,7 @@ The RAG backend performs semantic search to find the most relevant content:
 rag_results = document_store.search(
     query,
     results_count=settings.BRAVE_RAG_WEB_SEARCH_CHUNK_NUMBER,
+    **kwargs, # Additional search parameters like session with access_token
 )
 ```
 

src/backend/chat/agent_rag/document_converter/parser.py

@@ -0,0 +1,280 @@
+"""Document parsers for RAG backends."""
+
+import base64
+import logging
+import time
+from io import BytesIO
+from urllib.parse import urljoin
+
+from django.conf import settings
+
+import requests
+from pypdf import PdfReader, PdfWriter
+
+from chat.agent_rag.document_converter.markitdown import DocumentConverter
+
+logger = logging.getLogger(__name__)
+
+
+class BaseParser:
+    """Base class for document parsers."""
+
+    def parse_document(self, name: str, content_type: str, content: bytes) -> str:
+        """
+        Parse the document and prepare it for the search operation.
+        This method should handle the logic to convert the document
+        into a format suitable for storage.
+
+        Args:
+            name (str): The name of the document.
+            content_type (str): The MIME type of the document (e.g., "application/pdf").
+            content (bytes): The content of the document as a bytes stream.
+
+        Returns:
+            str: The document content in Markdown format.
+        """
+        raise NotImplementedError("Must be implemented in subclass.")
+
+
+class AlbertParser(BaseParser):
+    """Document parser using Albert API for PDFs and DocumentConverter for other formats."""
+
+    endpoint = urljoin(settings.ALBERT_API_URL, "/v1/parse-beta")
+
+    def parse_pdf_document(self, name: str, content_type: str, content: bytes) -> str:
+        """Parse PDF document using Albert API."""
+        response = requests.post(
+            self.endpoint,
+            headers={
+                "Authorization": f"Bearer {settings.ALBERT_API_KEY}",
+            },
+            files={
+                "file": (name, content, content_type),
+                "output_format": (None, "markdown"),
+            },
+            timeout=settings.ALBERT_API_PARSE_TIMEOUT,
+        )
+        response.raise_for_status()
+
+        return "\n\n".join(
+            document_page["content"] for document_page in response.json().get("data", [])
+        )
+
+    def parse_document(self, name: str, content_type: str, content: bytes) -> str:
+        """Parse document based on content type."""
+        if content_type == "application/pdf":
+            return self.parse_pdf_document(name=name, content_type=content_type, content=content)
+        return DocumentConverter().convert_raw(
+            name=name, content_type=content_type, content=content
+        )
+
+
+METHOD_TEXT_EXTRACTION = "text_extraction"
+METHOD_OCR = "ocr"
+
+
+def analyze_pdf(pdf_data: bytes) -> dict:
+    """
+    Analyze a PDF to determine if it needs OCR or can use direct text extraction.
+    """
+    reader = PdfReader(BytesIO(pdf_data))
+    total_pages = len(reader.pages)
+    if total_pages == 0:
+        logger.info("No page found in pdf")
+        return {
+            "total_pages": 0,
+            "pages_with_text": 0,
+            "avg_chars_per_page": 0,
+            "text_coverage": 0,
+            "recommended_method": METHOD_TEXT_EXTRACTION,
+        }
+
+    total_chars = 0
+    pages_with_text = 0
+    for page in reader.pages:
+        text = (page.extract_text() or "").strip()
+        char_count = len(text)
+        total_chars += char_count
+
+        if char_count > 50:
+            pages_with_text += 1
+
+    avg_chars = total_chars / total_pages
+    text_coverage = pages_with_text / total_pages
+
+    # Decision logic
+    if (
+        avg_chars > settings.MIN_AVG_CHARS_FOR_TEXT_EXTRACTION
+        and text_coverage > settings.MIN_TEXT_COVERAGE_FOR_TEXT_EXTRACTION
+    ):
+        method = METHOD_TEXT_EXTRACTION
+
+    else:
+        method = METHOD_OCR
+
+    return {
+        "total_pages": total_pages,
+        "pages_with_text": pages_with_text,
+        "avg_chars_per_page": round(avg_chars),
+        "text_coverage": round(text_coverage, 2),
+        "recommended_method": method,
+    }
+
+
+class AdaptiveParserMixin:
+    """
+    Mixin that adds adaptive PDF parsing behavior.
+
+    Analyzes PDF content to choose between direct text extraction (fast) and OCR
+    (for scanned/image PDFs). Subclasses must implement `parse_pdf_document_with_ocr`.
+    """
+
+    def parse_pdf_document(self, name: str, content_type: str, content: bytes) -> str:
+        """Analyze PDF and route to text extraction or OCR based on content."""
+        analysis = analyze_pdf(content)
+
+        logger.info(
+            "Pdf analysis - pages: %s, pages with text: %s, text_coverage: %s, "
+            "recommended method: %s",
+            analysis["total_pages"],
+            analysis["pages_with_text"],
+            analysis["text_coverage"],
+            analysis["recommended_method"],
+        )
+
+        method = analysis["recommended_method"]
+        if method == METHOD_TEXT_EXTRACTION:
+            return self.extract_text_from_pdf(name=name, content_type=content_type, content=content)
+        return self.parse_pdf_document_with_ocr(name=name, content=content)
+
+    def extract_text_from_pdf(self, name: str, content_type: str, content: bytes) -> str:
+        """Extract text directly from PDF without OCR (for text-based PDFs)."""
+        logger.info("Parsing pdf with text extraction")
+        return DocumentConverter().convert_raw(
+            name=name, content_type=content_type, content=content
+        )
+
+    def parse_pdf_document_with_ocr(self, name: str, content: bytes) -> str:
+        """Process PDF through OCR. Must be implemented by subclass."""
+        raise NotImplementedError("Subclass must implement parse_pdf_document_with_ocr")
+
+
+class AdaptivePdfParser(AdaptiveParserMixin, BaseParser):
+    """
+    PDF parser with adaptive text extraction / OCR routing.
+
+    Uses Mistral OCR API for scanned/image PDFs, processed in batches with retry logic.
+    """
+
+    def __init__(self):
+        super().__init__()
+
+        self.endpoint = urljoin(
+            settings.LLM_CONFIGURATIONS[settings.OCR_HRID].provider.base_url, "/v1/ocr"
+        )
+        self.max_retries = settings.OCR_MAX_RETRIES
+        self.retry_delay = settings.OCR_RETRY_DELAY
+        api_key = settings.LLM_CONFIGURATIONS[settings.OCR_HRID].provider.api_key
+
+        self.headers = {
+            "Authorization": f"Bearer {api_key}",
+            "Content-Type": "application/json",
+        }
+
+    def extract_page_batch(self, reader: PdfReader, start_index: int, end_index: int) -> bytes:
+        """Extract a range of pages from PDF as a new PDF bytes object."""
+        writer = PdfWriter()
+        for i in range(start_index, end_index):
+            writer.add_page(reader.pages[i])
+        output = BytesIO()
+        writer.write(output)
+        return output.getvalue()
+
+    def ocr_page_batch(
+        self,
+        name: str,
+        page_content: bytes,
+        start_index: int,
+        end_index: int,
+    ) -> list[str]:
+        """Send page batch to Mistral OCR API with static delay retry."""
+        file_data = base64.standard_b64encode(page_content).decode("utf-8")
+        payload = {
+            "document": {
+                "type": "document_url",
+                "document_name": f"{name}_pages_{start_index + 1}_to_{end_index}",
+                "document_url": f"data:application/pdf;base64,{file_data}",
+            },
+            "model": settings.OCR_MODEL,
+        }
+
+        last_exception = None
+        for attempt in range(self.max_retries):
+            try:
+                response = requests.post(
+                    self.endpoint,
+                    headers=self.headers,
+                    json=payload,
+                    timeout=settings.OCR_TIMEOUT,
+                )
+                response.raise_for_status()
+
+                pages = response.json().get("pages", [])
+                return [page.get("markdown", "") for page in pages]
+
+            except (requests.Timeout, requests.RequestException) as e:
+                last_exception = e
+                if attempt < self.max_retries - 1:
+                    logger.warning(
+                        "OCR attempt %d/%d failed for pages %d-%d: %s. Retrying in %.1fs...",
+                        attempt + 1,
+                        self.max_retries,
+                        start_index + 1,
+                        end_index,
+                        str(e),
+                        self.retry_delay,
+                    )
+                    time.sleep(self.retry_delay)
+
+        logger.error(
+            "OCR failed for pages %d-%d after %d attempts: %s",
+            start_index + 1,
+            end_index,
+            self.max_retries,
+            str(last_exception),
+        )
+        raise last_exception
+
+    def parse_pdf_document_with_ocr(self, name: str, content: bytes) -> str:
+        """Process PDF through OCR in batches, returning concatenated markdown."""
+        reader = PdfReader(BytesIO(content))
+        total_pages = len(reader.pages)
+        batch_size = settings.OCR_BATCH_PAGES
+
+        logger.info("Parsing pdf with OCR (%d pages, batch size %d)", total_pages, batch_size)
+
+        results = []
+        for start_index in range(0, total_pages, batch_size):
+            end_index = min(start_index + batch_size, total_pages)
+            batch_content = self.extract_page_batch(reader, start_index, end_index)
+            try:
+                batch_results = self.ocr_page_batch(name, batch_content, start_index, end_index)
+                results.extend(batch_results)
+                logger.debug(
+                    "Completed OCR for pages %d-%d/%d", start_index + 1, end_index, total_pages
+                )
+            except Exception as e:  # pylint: disable=broad-except #noqa: BLE001
+                logger.error("Failed to OCR pages %d-%d: %s", start_index + 1, end_index, str(e))
+                # Preserve page count with empty placeholders to maintain correct ordering
+                results.extend([""] * (end_index - start_index))
+
+        return "\n\n".join(results)
+
+    def parse_document(self, name: str, content_type: str, content: bytes) -> str:
+        """Route to PDF parser or DocumentConverter based on content type."""
+        if content_type == "application/pdf":
+            return self.parse_pdf_document(name=name, content_type=content_type, content=content)
+
+        return DocumentConverter().convert_raw(
+            name=name, content_type=content_type, content=content
+        )

src/backend/chat/agent_rag/document_rag_backends/albert_rag_backend.py

@@ -7,13 +7,13 @@ from typing import List, Optional
 from urllib.parse import urljoin
 
 from django.conf import settings
+from django.utils.module_loading import import_string
 
 import httpx
 import requests
 
 from chat.agent_rag.albert_api_constants import Searches
 from chat.agent_rag.constants import RAGWebResult, RAGWebResults, RAGWebUsage
-from chat.agent_rag.document_converter.markitdown import DocumentConverter
 from chat.agent_rag.document_rag_backends.base_rag_backend import BaseRagBackend
 
 logger = logging.getLogger(__name__)
@@ -26,9 +26,6 @@ class AlbertRagBackend(BaseRagBackend):  # pylint: disable=too-many-instance-att
 
     It provides methods to:
     - Create a collection for the search operation.
-    - Parse documents and convert them to Markdown format:
-       + Handle PDF parsing using the Albert API.
-       + Use the DocumentConverter (markitdown) for other formats.
     - Store parsed documents in the Albert collection.
     - Perform a search operation using the Albert API.
     """
@@ -46,10 +43,15 @@ class AlbertRagBackend(BaseRagBackend):  # pylint: disable=too-many-instance-att
         }
         self._collections_endpoint = urljoin(self._base_url, "/v1/collections")
         self._documents_endpoint = urljoin(self._base_url, "/v1/documents")
-        self._pdf_parser_endpoint = urljoin(self._base_url, "/v1/parse-beta")
         self._search_endpoint = urljoin(self._base_url, "/v1/search")
-
         self._default_collection_description = "Temporary collection for RAG document search"
+        parser_class = import_string(settings.RAG_DOCUMENT_PARSER)
+        self.parser = parser_class()
+
+    @staticmethod
+    def cast_collection_id(collection_id):
+        """Albert API expects int Ids."""
+        return int(collection_id)
 
     def create_collection(self, name: str, description: Optional[str] = None) -> str:
         """
@@ -91,7 +93,7 @@ class AlbertRagBackend(BaseRagBackend):  # pylint: disable=too-many-instance-att
         self.collection_id = str(response.json()["id"])
         return self.collection_id
 
-    def delete_collection(self) -> None:
+    def delete_collection(self, **kwargs) -> None:
         """
         Delete the current collection
         """
@@ -102,7 +104,7 @@ class AlbertRagBackend(BaseRagBackend):  # pylint: disable=too-many-instance-att
         )
         response.raise_for_status()
 
-    async def adelete_collection(self) -> None:
+    async def adelete_collection(self, **kwargs) -> None:
         """
         Asynchronously delete the current collection
         """
@@ -114,59 +116,7 @@ class AlbertRagBackend(BaseRagBackend):  # pylint: disable=too-many-instance-att
             )
             response.raise_for_status()
 
-    def parse_pdf_document(self, name: str, content_type: str, content: BytesIO) -> str:
-        """
-        Parse the PDF document content and return the text content.
-        This method should handle the logic to convert the PDF into
-        a format suitable for the Albert API.
-        """
-        response = requests.post(
-            self._pdf_parser_endpoint,
-            headers=self._headers,
-            files={
-                "file": (
-                    name,
-                    content,
-                    content_type,
-                ),  # Use the name as the filename in the request
-                "output_format": (None, "markdown"),  # Specify the output format as Markdown,
-            },
-            timeout=settings.ALBERT_API_PARSE_TIMEOUT,
-        )
-        response.raise_for_status()
-
-        return "\n\n".join(
-            document_page["content"] for document_page in response.json().get("data", [])
-        )
-
-    def parse_document(self, name: str, content_type: str, content: BytesIO):
-        """
-        Parse the document and prepare it for the search operation.
-        This method should handle the logic to convert the document
-        into a format suitable for the Albert API.
-
-        Args:
-            name (str): The name of the document.
-            content_type (str): The MIME type of the document (e.g., "application/pdf").
-            content (BytesIO): The content of the document as a BytesIO stream.
-
-        Returns:
-            str: The document content in Markdown format.
-        """
-        # Implement the parsing logic here
-        if content_type == "application/pdf":
-            # Handle PDF parsing
-            markdown_content = self.parse_pdf_document(
-                name=name, content_type=content_type, content=content
-            )
-        else:
-            markdown_content = DocumentConverter().convert_raw(
-                name=name, content_type=content_type, content=content
-            )
-
-        return markdown_content
-
-    def store_document(self, name: str, content: str) -> None:
+    def store_document(self, name: str, content: str, **kwargs) -> None:
         """
         Store the document content in the Albert collection.
         This method should handle the logic to send the document content to the Albert API.
@@ -174,6 +124,7 @@ class AlbertRagBackend(BaseRagBackend):  # pylint: disable=too-many-instance-att
         Args:
             name (str): The name of the document.
             content (str): The content of the document in Markdown format.
+            **kwargs: Additional arguments.
         """
         response = requests.post(
             urljoin(self._base_url, self._documents_endpoint),
@@ -188,7 +139,7 @@ class AlbertRagBackend(BaseRagBackend):  # pylint: disable=too-many-instance-att
         logger.debug(response.json())
         response.raise_for_status()
 
-    async def astore_document(self, name: str, content: str) -> None:
+    async def astore_document(self, name: str, content: str, **kwargs) -> None:
         """
         Store the document content in the Albert collection.
         This method should handle the logic to send the document content to the Albert API.
@@ -196,6 +147,7 @@ class AlbertRagBackend(BaseRagBackend):  # pylint: disable=too-many-instance-att
         Args:
             name (str): The name of the document.
             content (str): The content of the document in Markdown format.
+            **kwargs: Additional arguments.
         """
         async with httpx.AsyncClient(timeout=settings.ALBERT_API_TIMEOUT) as client:
             response = await client.post(
@@ -213,13 +165,14 @@ class AlbertRagBackend(BaseRagBackend):  # pylint: disable=too-many-instance-att
             logger.debug(response.json())
             response.raise_for_status()
 
-    def search(self, query, results_count: int = 4) -> RAGWebResults:
+    def search(self, query: str, results_count: int = 4, **kwargs) -> RAGWebResults:
         """
         Perform a search using the Albert API based on the provided query.
 
         Args:
             query (str): The search query.
             results_count (int): The number of results to return.
+            **kwargs: Additional arguments.
 
         Returns:
             RAGWebResults: The search results.
@@ -256,13 +209,14 @@ class AlbertRagBackend(BaseRagBackend):  # pylint: disable=too-many-instance-att
             ),
         )
 
-    async def asearch(self, query, results_count: int = 4) -> RAGWebResults:
+    async def asearch(self, query, results_count: int = 4, **kwargs) -> RAGWebResults:
         """
         Perform an asynchronous search using the Albert API based on the provided query.
 
         Args:
             query (str): The search query.
             results_count (int): The number of results to return.
+            **kwargs: Additional arguments.
 
         Returns:
             RAGWebResults: The search results.

src/backend/chat/agent_rag/document_rag_backends/base_rag_backend.py

@@ -1,18 +1,19 @@
 """Implementation of the Albert API for RAG document search."""
 
 import logging
+from abc import ABC, abstractmethod
 from contextlib import asynccontextmanager, contextmanager
-from io import BytesIO
 from typing import List, Optional
 
 from asgiref.sync import sync_to_async
 
 from chat.agent_rag.constants import RAGWebResults
+from chat.agent_rag.document_converter.parser import BaseParser
 
 logger = logging.getLogger(__name__)
 
 
-class BaseRagBackend:
+class BaseRagBackend(ABC):
     """Base class for RAG backends."""
 
     def __init__(
@@ -38,6 +39,12 @@ class BaseRagBackend:
         self.collection_id = collection_id
         self.read_only_collection_id = read_only_collection_id or []
         self._default_collection_description = "Temporary collection for RAG document search"
+        self.parser: BaseParser = BaseParser()
+
+    @staticmethod
+    def cast_collection_id(collection_id):
+        """Dummy method to be overridden when needed."""
+        return collection_id
 
     def get_all_collection_ids(self) -> List[str]:
         """
@@ -53,13 +60,17 @@ class BaseRagBackend:
 
         collection_ids = []
         if self.collection_id:
-            collection_ids.append(int(self.collection_id))
+            collection_ids.append(self.cast_collection_id(self.collection_id))
         if self.read_only_collection_id:
             collection_ids.extend(
-                [int(collection_id) for collection_id in self.read_only_collection_id]
+                [
+                    self.cast_collection_id(collection_id)
+                    for collection_id in self.read_only_collection_id
+                ]
             )
         return collection_ids
 
+    @abstractmethod
     def create_collection(self, name: str, description: Optional[str] = None) -> str:
         """
         Create a temporary collection for the search operation.
@@ -74,7 +85,7 @@ class BaseRagBackend:
         """
         return await sync_to_async(self.create_collection)(name=name, description=description)
 
-    def parse_document(self, name: str, content_type: str, content: BytesIO):
+    def parse_document(self, name: str, content_type: str, content: bytes):
         """
         Parse the document and prepare it for the search operation.
         This method should handle the logic to convert the document
@@ -83,14 +94,15 @@ class BaseRagBackend:
         Args:
             name (str): The name of the document.
             content_type (str): The MIME type of the document (e.g., "application/pdf").
-            content (BytesIO): The content of the document as a BytesIO stream.
+            content (bytes): The content of the document as a bytes stream.
 
         Returns:
             str: The document content in Markdown format.
         """
-        raise NotImplementedError("Must be implemented in subclass.")
+        return self.parser.parse_document(name, content_type, content)
 
-    def store_document(self, name: str, content: str) -> None:
+    @abstractmethod
+    def store_document(self, name: str, content: str, **kwargs) -> None:
         """
         Store the document content in the collection.
         This method should handle the logic to send the document content to the API.
@@ -98,10 +110,11 @@ class BaseRagBackend:
         Args:
             name (str): The name of the document.
             content (str): The content of the document in Markdown format.
+            **kwargs: Additional arguments. ex: "user_sub" for access control.
         """
         raise NotImplementedError("Must be implemented in subclass.")
 
-    async def astore_document(self, name: str, content: str) -> None:
+    async def astore_document(self, name: str, content: str, **kwargs) -> None:
         """
         Store the document content in the collection.
         This method should handle the logic to send the document content to the API.
@@ -109,50 +122,66 @@ class BaseRagBackend:
         Args:
             name (str): The name of the document.
             content (str): The content of the document in Markdown format.
+            **kwargs: Additional arguments. ex: "user_sub" for access control.
         """
-        return await sync_to_async(self.store_document)(name=name, content=content)
+        return await sync_to_async(self.store_document)(name=name, content=content, **kwargs)
 
-    def parse_and_store_document(self, name: str, content_type: str, content: BytesIO) -> str:
+    def parse_and_store_document(
+        self, name: str, content_type: str, content: bytes, **kwargs
+    ) -> str:
         """
         Parse the document and store it in the Albert collection.
 
         Args:
             name (str): The name of the document.
             content_type (str): The MIME type of the document (e.g., "application/pdf").
-            content (BytesIO): The content of the document as a BytesIO stream.
+            content (bytes): The content of the document as a bytes stream.
+            **kwargs: Additional arguments. ex: "user_sub" for access control.
         """
         if not self.collection_id:
             raise RuntimeError("The RAG backend requires collection_id")
 
         document_content = self.parse_document(name, content_type, content)
-        self.store_document(name, document_content)
+        self.store_document(name, document_content, **kwargs)
         return document_content
 
-    def delete_collection(self) -> None:
+    @abstractmethod
+    def delete_collection(self, **kwargs) -> None:
         """
         Delete the collection.
         This method should handle the logic to delete the collection from the backend.
         """
         raise NotImplementedError("Must be implemented in subclass.")
 
-    async def adelete_collection(self) -> None:
+    async def adelete_collection(self, **kwargs) -> None:
         """
         Delete the collection.
         This method should handle the logic to delete the collection from the backend.
         """
-        return await sync_to_async(self.delete_collection)()
+        return await sync_to_async(self.delete_collection)(**kwargs)
 
-    def search(self, query, results_count: int = 4) -> RAGWebResults:
+    @abstractmethod
+    def search(self, query: str, results_count: int = 4, **kwargs) -> RAGWebResults:
         """
         Search the collection for the given query.
+
+        Args:
+            query: The search query string.
+            results_count: Number of results to return.
+            **kwargs: Additional arguments. ex: 'session' for OIDC authentication.
         """
         raise NotImplementedError("Must be implemented in subclass.")
 
-    async def asearch(self, query, results_count: int = 4) -> RAGWebResults:
+    async def asearch(self, query: str, results_count: int = 4, **kwargs) -> RAGWebResults:
         """
-        Search the collection for the given query.
+        Search the collection for the given query asynchronously.
+
+        Args:
+            query: The search query string.
+            results_count: Number of results to return.
+            **kwargs: Additional arguments. ex: 'session' for OIDC authentication.
         """
-        return await sync_to_async(self.search)(query=query, results_count=results_count)
+        return await sync_to_async(self.search)(query=query, results_count=results_count, **kwargs)
 
     @classmethod
     @contextmanager
@@ -168,7 +197,9 @@ class BaseRagBackend:
 
     @classmethod
     @asynccontextmanager
-    async def temporary_collection_async(cls, name: str, description: Optional[str] = None):
+    async def temporary_collection_async(
+        cls, name: str, description: Optional[str] = None, **kwargs
+    ):
         """Context manager for RAG backend with temporary collections."""
         backend = cls()
 
@@ -176,4 +207,4 @@ class BaseRagBackend:
         try:
             yield backend
         finally:
-            await backend.adelete_collection()
+            await backend.adelete_collection(**kwargs)

src/backend/chat/agent_rag/document_rag_backends/find_rag_backend.py

@@ -0,0 +1,160 @@
+"""Implementation of the Find API for RAG document search."""
+
+import logging
+import uuid
+from typing import List, Optional
+from urllib.parse import urljoin
+from uuid import uuid4
+
+from django.conf import settings
+from django.utils import timezone
+
+import requests
+
+from chat.agent_rag.constants import RAGWebResult, RAGWebResults, RAGWebUsage
+from chat.agent_rag.document_converter.parser import AlbertParser
+from chat.agent_rag.document_rag_backends.base_rag_backend import BaseRagBackend
+from utils.oidc import with_fresh_access_token
+
+logger = logging.getLogger(__name__)
+
+
+SUPPORTED_LANGUAGE_CODES = ["en", "fr", "de", "nl"]
+
+
+class FindRagBackend(BaseRagBackend):
+    """
+    This class is a placeholder for the Find API implementation.
+    It is designed to be used with the RAG (Retrieval-Augmented Generation) document search system.
+
+    It provides methods to:
+    - Store parsed documents in the Find index.
+    - Perform a search operation using the Find API.
+    """
+
+    def __init__(
+        self,
+        collection_id: Optional[str] = None,
+        read_only_collection_id: Optional[List[str]] = None,
+    ):
+        # Initialize any necessary parameters or configurations here
+        super().__init__(collection_id, read_only_collection_id)
+        self.api_key = settings.FIND_API_KEY
+        self.search_endpoint = "api/v1.0/documents/search/"
+        self.indexing_endpoint = "api/v1.0/documents/index/"
+        self.deleting_endpoint = "api/v1.0/documents/delete/"
+        self.parser = AlbertParser()  # Find Rag relies on Albert parser
+
+    def create_collection(self, name: str, description: Optional[str] = None) -> str:
+        """
+        init collection_id
+        """
+        self.collection_id = self.collection_id or str(uuid.uuid4())
+        return self.collection_id
+
+    @with_fresh_access_token
+    def delete_collection(self, **kwargs) -> None:
+        """
+        Delete the current collection
+        """
+        response = requests.post(
+            urljoin(settings.FIND_API_URL, self.deleting_endpoint),
+            headers={"Authorization": f"Bearer {kwargs['session'].get('oidc_access_token')}"},
+            json={"tags": [f"collection-{self.collection_id}"], "service": "conversations"},
+            timeout=settings.FIND_API_TIMEOUT,
+        )
+        response.raise_for_status()
+
+    def store_document(self, name: str, content: str, **kwargs) -> None:
+        """
+        index document in Find
+
+        Args:
+            name (str): The name of the document.
+            content (str): The content of the document in Markdown format.
+            user_sub (str): The user subject identifier for access control.
+        """
+        logger.debug("index document '%s' in Find", name)
+
+        user_sub = kwargs.get("user_sub")
+        if not user_sub:
+            raise ValueError("user_sub is required to store document in FindRagBackend")
+
+        response = requests.post(
+            urljoin(settings.FIND_API_URL, self.indexing_endpoint),
+            headers={"Authorization": f"Bearer {self.api_key}"},
+            json={
+                "id": str(uuid4()),
+                "title": str(name) or "",
+                "depth": 0,
+                "path": str(name) or "",
+                "numchild": 0,
+                "content": content or "",
+                "created_at": timezone.now().isoformat(),
+                "updated_at": timezone.now().isoformat(),
+                "tags": [f"collection-{self.collection_id}"],
+                "size": len(content.encode("utf-8")),
+                "users": [user_sub],
+                "groups": [],
+                "reach": "authenticated",
+                "is_active": True,
+            },
+            timeout=settings.FIND_API_TIMEOUT,
+        )
+        response.raise_for_status()
+
+    @with_fresh_access_token
+    def search(self, query: str, results_count: int = 4, **kwargs) -> RAGWebResults:
+        """
+        Perform a search using the Find API.
+        Uses the user's OIDC token from the request session.
+
+        Args:
+            query: The search query.
+            results_count: Number of results to return.
+            **kwargs: Additional arguments. Expected: 'session' containing OIDC tokens,
+
+        Returns:
+            RAGWebResults: The search results.
+        """
+        logger.debug("search documents in Find with query '%s'", query)
+        response = requests.post(
+            urljoin(settings.FIND_API_URL, self.search_endpoint),
+            headers={"Authorization": f"Bearer {kwargs['session'].get('oidc_access_token')}"},
+            json={
+                "q": query or "*",
+                "tags": [
+                    f"collection-{collection_id}" for collection_id in self.get_all_collection_ids()
+                ],
+                "k": results_count,
+            },
+            timeout=settings.FIND_API_TIMEOUT,
+        )
+        response.raise_for_status()
+
+        return RAGWebResults(
+            data=[
+                RAGWebResult(
+                    url=get_language_value(result["_source"], "title"),
+                    content=get_language_value(result["_source"], "content"),
+                    score=result["_score"],
+                )
+                for result in response.json()
+            ],
+            usage=RAGWebUsage(
+                prompt_tokens=0,
+                completion_tokens=0,
+            ),
+        )
+
+
+def get_language_value(source, language_field):
+    """
+    extract the value of the language field with the correct language_code extension.
+    "title" and "content" have extensions like "title.en" or "title.fr".
+    get_language_value will return the value regardless of the extension.
+    """
+    for language_code in SUPPORTED_LANGUAGE_CODES:
+        if f"{language_field}.{language_code}" in source:
+            return source[f"{language_field}.{language_code}"]
+    raise ValueError(f"No '{language_field}' field with any supported language code in object")

src/backend/chat/agents/translate.py

@@ -0,0 +1,27 @@
+"""Build the translation agent."""
+
+import dataclasses
+import logging
+
+from django.conf import settings
+
+from .base import BaseAgent
+
+logger = logging.getLogger(__name__)
+
+
+@dataclasses.dataclass(init=False)
+class TranslationAgent(BaseAgent):
+    """Create a Pydantic AI translation Agent instance with the configured settings"""
+
+    def __init__(self, **kwargs):
+        """Initialize the agent with the configured model."""
+        super().__init__(
+            model_hrid=settings.LLM_DEFAULT_MODEL_HRID,
+            output_type=str,
+            **kwargs,
+        )
+
+    def get_tools(self) -> list:
+        """Translation does not need any tools."""
+        return []

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@@ -0,0 +1,161 @@
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src/backend/chat/tests/agent_rag/document_converter/test_adaptive_pdf_parser.py

@@ -0,0 +1,310 @@
+"""Tests for AdaptivePdfParser and AdaptiveParserMixin."""
+
+from io import BytesIO
+from pathlib import Path
+from unittest.mock import MagicMock, patch
+
+import pytest
+import requests
+from pypdf import PdfReader
+
+from chat.agent_rag.document_converter.parser import (
+    METHOD_OCR,
+    METHOD_TEXT_EXTRACTION,
+    AdaptivePdfParser,
+    analyze_pdf,
+)
+
+FIXTURES_DIR = Path(__file__).parent / "fixtures"
+
+
+@pytest.fixture(name="text_pdf_1_page")
+def provide_text_pdf_1_page():
+    """Load a 1 page PDF with extractable text."""
+    return (FIXTURES_DIR / "text_pdf_1_page.pdf").read_bytes()
+
+
+@pytest.fixture(name="text_pdf_10_pages")
+def provide_text_pdf_10_pages():
+    """Load a 10-page PDF with extractable text (~300 chars per page)."""
+    return (FIXTURES_DIR / "text_10_pages.pdf").read_bytes()
+
+
+@pytest.fixture(name="mixed_pdf_10_pages")
+def provide_mixed_pdf_10_pages():
+    """Load a 10-page PDF with 2 pages of text and 8 blank pages."""
+    return (FIXTURES_DIR / "mixed_10_pages.pdf").read_bytes()
+
+
+MIN_AVG_CHARS_FOR_TEXT_EXTRACTION = 200
+OCR_RETRY_DELAY = 1
+OCR_MAX_RETRIES = 3
+
+
+@pytest.fixture(autouse=True)
+def ai_settings(settings):
+    """Mock Django settings for OCR configuration."""
+    settings.MIN_AVG_CHARS_FOR_TEXT_EXTRACTION = MIN_AVG_CHARS_FOR_TEXT_EXTRACTION
+    settings.MIN_TEXT_COVERAGE_FOR_TEXT_EXTRACTION = 0.7
+    settings.OCR_HRID = "test-ocr-hrid"
+    settings.OCR_MODEL = "test-ocr-model"
+    settings.OCR_TIMEOUT = 60
+    settings.OCR_MAX_RETRIES = OCR_MAX_RETRIES
+    settings.OCR_RETRY_DELAY = OCR_RETRY_DELAY
+    settings.OCR_BATCH_PAGES = 10
+    settings.LLM_CONFIGURATIONS = {
+        "test-ocr-hrid": MagicMock(
+            provider=MagicMock(
+                base_url="https://ocr.example.com",
+                api_key="test-api-key",
+            )
+        )
+    }
+    return settings
+
+
+def test_analyze_pdf_returns_correct_structure(text_pdf_10_pages):
+    """analyze_pdf should return dict with expected keys."""
+    result = analyze_pdf(text_pdf_10_pages)
+
+    assert "total_pages" in result
+    assert "pages_with_text" in result
+    assert "avg_chars_per_page" in result
+    assert "text_coverage" in result
+    assert "recommended_method" in result
+
+
+def test_analyze_pdf_with_text_recommends_extraction(text_pdf_1_page):
+    """PDF with sufficient text should recommend text extraction."""
+    result = analyze_pdf(text_pdf_1_page)
+
+    assert result["total_pages"] == 1
+    assert result["pages_with_text"] == 1
+    assert result["text_coverage"] == pytest.approx(1.0)
+    assert result["avg_chars_per_page"] > MIN_AVG_CHARS_FOR_TEXT_EXTRACTION
+    assert result["recommended_method"] == METHOD_TEXT_EXTRACTION
+
+
+def test_analyze_multi_page_pdf_with_text_recommends_extraction(text_pdf_10_pages):
+    """PDF with sufficient text should recommend text extraction."""
+    result = analyze_pdf(text_pdf_10_pages)
+
+    assert result["total_pages"] == 10
+    assert result["pages_with_text"] == 10
+    assert result["text_coverage"] == pytest.approx(1.0)
+    assert result["avg_chars_per_page"] > MIN_AVG_CHARS_FOR_TEXT_EXTRACTION
+    assert result["recommended_method"] == METHOD_TEXT_EXTRACTION
+
+
+def test_analyze_pdf_mixed_content_recommends_ocr(mixed_pdf_10_pages):
+    """PDF with low text coverage should recommend OCR."""
+    result = analyze_pdf(mixed_pdf_10_pages)
+
+    assert result["total_pages"] == 10
+    assert result["pages_with_text"] == 2
+    assert result["text_coverage"] == pytest.approx(0.2)
+    assert result["recommended_method"] == METHOD_OCR
+
+
+def test_extract_page_batch_single_page(text_pdf_10_pages):
+    """Should extract a single page correctly."""
+    parser = AdaptivePdfParser()
+    reader = PdfReader(BytesIO(text_pdf_10_pages))
+
+    result = parser.extract_page_batch(reader, 0, 1)
+
+    result_reader = PdfReader(BytesIO(result))
+    assert len(result_reader.pages) == 1
+
+
+def test_extract_page_batch_multiple_pages(text_pdf_10_pages):
+    """Should extract multiple pages correctly."""
+    parser = AdaptivePdfParser()
+    reader = PdfReader(BytesIO(text_pdf_10_pages))
+
+    result = parser.extract_page_batch(reader, 2, 7)
+
+    result_reader = PdfReader(BytesIO(result))
+    assert len(result_reader.pages) == 5
+
+
+def test_extract_page_batch_last_batch(text_pdf_10_pages):
+    """Should handle last batch with fewer pages."""
+    parser = AdaptivePdfParser()
+    reader = PdfReader(BytesIO(text_pdf_10_pages))
+
+    result = parser.extract_page_batch(reader, 7, 10)
+
+    result_reader = PdfReader(BytesIO(result))
+    assert len(result_reader.pages) == 3
+
+
+def test_ocr_page_batch_success(text_pdf_1_page):
+    """Should return markdown content on successful OCR."""
+    parser = AdaptivePdfParser()
+
+    with patch("chat.agent_rag.document_converter.parser.requests.post") as mock_post:
+        mock_post.return_value.json.return_value = {
+            "pages": [
+                {"markdown": "# Page 1 content"},
+            ]
+        }
+        mock_post.return_value.raise_for_status = MagicMock()
+
+        result = parser.ocr_page_batch("test.pdf", text_pdf_1_page, 0, 1)
+
+        assert result == ["# Page 1 content"]
+        mock_post.assert_called_once()
+
+
+def test_ocr_page_batch_retry_on_timeout(text_pdf_1_page):
+    """Should retry on timeout with static delay."""
+    parser = AdaptivePdfParser()
+
+    with patch("chat.agent_rag.document_converter.parser.requests.post") as mock_post:
+        with patch("chat.agent_rag.document_converter.parser.time.sleep") as mock_sleep:
+            mock_post.side_effect = [
+                requests.Timeout("Connection timed out"),
+                MagicMock(
+                    json=MagicMock(return_value={"pages": [{"markdown": "# Content"}]}),
+                    raise_for_status=MagicMock(),
+                ),
+            ]
+
+            result = parser.ocr_page_batch("test.pdf", text_pdf_1_page, 0, 1)
+
+            assert result == ["# Content"]
+            assert mock_post.call_count == 2
+            mock_sleep.assert_called_once_with(OCR_RETRY_DELAY)
+
+
+def test_ocr_page_batch_fails_after_max_retries(text_pdf_1_page):
+    """Should raise exception after max retries exceeded."""
+    parser = AdaptivePdfParser()
+
+    with patch("chat.agent_rag.document_converter.parser.requests.post") as mock_post:
+        with patch("chat.agent_rag.document_converter.parser.time.sleep"):
+            mock_post.side_effect = requests.Timeout("Connection timed out")
+
+            with pytest.raises(requests.Timeout):
+                parser.ocr_page_batch("test.pdf", text_pdf_1_page, 0, 1)
+
+            assert mock_post.call_count == OCR_MAX_RETRIES
+
+
+def test_ocr_page_batch_retry_on_request_exception(text_pdf_1_page):
+    """Should retry on general request exceptions."""
+    parser = AdaptivePdfParser()
+
+    with patch("chat.agent_rag.document_converter.parser.requests.post") as mock_post:
+        with patch("chat.agent_rag.document_converter.parser.time.sleep"):
+            mock_post.side_effect = [
+                requests.RequestException("Network error"),
+                requests.RequestException("Network error"),
+                MagicMock(
+                    json=MagicMock(return_value={"pages": [{"markdown": "# Content"}]}),
+                    raise_for_status=MagicMock(),
+                ),
+            ]
+
+            result = parser.ocr_page_batch("test.pdf", text_pdf_1_page, 0, 1)
+
+            assert result == ["# Content"]
+            assert mock_post.call_count == 3
+
+
+def test_parse_pdf_with_ocr_single_batch(text_pdf_10_pages):
+    """Should process PDF in single batch when pages <= batch size."""
+    parser = AdaptivePdfParser()
+
+    with patch("chat.agent_rag.document_converter.parser.requests.post") as mock_post:
+        mock_post.return_value.json.return_value = {
+            "pages": [{"markdown": f"Page {i}"} for i in range(1, 11)]
+        }
+        mock_post.return_value.raise_for_status = MagicMock()
+
+        result = parser.parse_pdf_document_with_ocr("test.pdf", text_pdf_10_pages)
+
+        assert "Page 1" in result
+        assert "Page 10" in result
+        mock_post.assert_called_once()
+
+
+def test_parse_pdf_with_ocr_multiple_batches(text_pdf_10_pages, settings):
+    """Should process PDF in multiple batches when pages > batch size."""
+    settings.OCR_BATCH_PAGES = 4  # Force multiple batches
+    parser = AdaptivePdfParser()
+
+    with patch("chat.agent_rag.document_converter.parser.requests.post") as mock_post:
+        mock_post.return_value.json.side_effect = [
+            {"pages": [{"markdown": f"Page {i}"} for i in range(1, 5)]},
+            {"pages": [{"markdown": f"Page {i}"} for i in range(5, 9)]},
+            {"pages": [{"markdown": f"Page {i}"} for i in range(9, 11)]},
+        ]
+        mock_post.return_value.raise_for_status = MagicMock()
+
+        result = parser.parse_pdf_document_with_ocr("test.pdf", text_pdf_10_pages)
+
+        assert mock_post.call_count == 3
+        assert "Page 1" in result
+        assert "Page 10" in result
+
+
+def test_parse_pdf_with_ocr_partial_failure(text_pdf_10_pages, settings):
+    """Should insert empty placeholders for failed batches."""
+    settings.OCR_BATCH_PAGES = 4  # Force multiple batches
+    parser = AdaptivePdfParser()
+
+    success_response = MagicMock()
+    success_response.json.return_value = {"pages": [{"markdown": f"Page {i}"} for i in range(1, 5)]}
+    success_response.raise_for_status = MagicMock()
+
+    with patch("chat.agent_rag.document_converter.parser.requests.post") as mock_post:
+        with patch("chat.agent_rag.document_converter.parser.time.sleep"):
+            # First batch succeeds, then all retries fail for remaining batches
+            mock_post.side_effect = [
+                success_response,
+                requests.Timeout("OCR failed"),
+                requests.Timeout("OCR failed"),
+                requests.Timeout("OCR failed"),
+                requests.Timeout("OCR failed"),
+                requests.Timeout("OCR failed"),
+                requests.Timeout("OCR failed"),
+            ]
+
+            result = parser.parse_pdf_document_with_ocr("test.pdf", text_pdf_10_pages)
+
+            parts = result.split("\n\n")
+            # First batch succeeded (4 pages), remaining batches failed (6 pages as placeholders)
+            assert len(parts) == 10
+            assert parts[0] == "Page 1"
+            assert parts[3] == "Page 4"
+            assert parts[4] == ""  # Failed batch placeholder
+
+
+def test_parse_document_pdf_routed_correctly(text_pdf_1_page):
+    """Should route PDF content type to PDF parser."""
+    parser = AdaptivePdfParser()
+
+    with patch.object(parser, "parse_pdf_document", return_value="pdf content") as mock_parse:
+        result = parser.parse_document("test.pdf", "application/pdf", text_pdf_1_page)
+
+        assert result == "pdf content"
+        mock_parse.assert_called_once_with(
+            name="test.pdf",
+            content_type="application/pdf",
+            content=text_pdf_1_page,
+        )
+
+
+def test_parse_document_non_pdf_uses_document_converter():
+    """Should route non-PDF content to DocumentConverter."""
+    parser = AdaptivePdfParser()
+
+    with patch("chat.agent_rag.document_converter.parser.DocumentConverter") as mock_converter:
+        mock_converter.return_value.convert_raw.return_value = "docx content"
+
+        result = parser.parse_document("test.docx", "application/vnd.openxmlformats", b"content")
+
+        assert result == "docx content"
+        mock_converter.return_value.convert_raw.assert_called_once()

src/backend/chat/tests/conftest.py

@@ -2,19 +2,26 @@
 
 import logging
 from contextlib import ExitStack, contextmanager
+from importlib import reload
 from unittest.mock import patch
 
+from django.urls import clear_url_caches, set_urlconf
 from django.utils import formats, timezone
 
 import pytest
 
+import core.urls
+
+import chat.views
+import conversations.urls
 from chat.agents.summarize import SummarizationAgent
+from chat.agents.translate import TranslationAgent
 from chat.clients.pydantic_ai import AIAgentService
 
 logger = logging.getLogger(__name__)
 
 
-@pytest.fixture(name="today_promt_date")
+@pytest.fixture(name="today_prompt_date")
 def today_prompt_date_fixture():
     """Fixture to mock date the system prompt when useless to test it."""
     _formatted_date = formats.date_format(timezone.now(), "l d/m/Y", use_l10n=False)
@@ -85,8 +92,68 @@ def mock_summarization_agent_fixture():
     yield _mock_agent
 
 
+@pytest.fixture(name="mock_translation_agent")
+def mock_translation_agent_fixture():
+    """Fixture to mock TranslationAgent with a custom model."""
+
+    @contextmanager
+    def _mock_agent(model):
+        """Context manager to mock TranslationAgent with a custom model."""
+        with ExitStack() as stack:
+
+            class TranslationAgentMock(TranslationAgent):
+                """Mocked TranslationAgent to override the model."""
+
+                def __init__(self, **kwargs):
+                    super().__init__(**kwargs)
+                    logger.info("Overriding TranslationAgent model with %s", model)
+                    self._model = model  # pylint: disable=protected-access
+
+            stack.enter_context(
+                patch("chat.agents.translate.TranslationAgent", new=TranslationAgentMock)
+            )
+            stack.enter_context(
+                patch("chat.tools.document_translate.TranslationAgent", new=TranslationAgentMock)
+            )
+            yield
+
+    yield _mock_agent
+
+
 PIXEL_PNG = (
     b"\x89PNG\r\n\x1a\n\x00\x00\x00\rIHDR\x00\x00\x00\x01\x00\x00\x00\x01\x08\x06\x00"
     b"\x00\x00\x1f\x15\xc4\x89\x00\x00\x00\nIDATx\x9cc\xf8\xff\xff?\x00\x05\xfe\x02\xfe"
     b"\xa7V\xbd\xfa\x00\x00\x00\x00IEND\xaeB`\x82"
 )
+
+
+@pytest.fixture(name="oidc_refresh_token_enabled")
+def fixture_oidc_refresh_token_enabled(settings):
+    """
+    Fixture to enable OIDC refresh token storage during the test.
+
+    This is not a nice fixture, as it forces reloading views and URL configurations.
+    Maybe there is a better way to do this, because even the conditional_refresh_oidc_token
+    function is not nice, but I don't want it to be lazy either.
+    """
+    __initial_value = bool(settings.OIDC_STORE_REFRESH_TOKEN)
+
+    settings.OIDC_STORE_REFRESH_TOKEN = True
+
+    # force view reload
+    reload(chat.views)
+    reload(core.urls)
+    reload(conversations.urls)
+    clear_url_caches()
+    set_urlconf(None)
+
+    yield settings
+
+    settings.OIDC_STORE_REFRESH_TOKEN = __initial_value
+
+    # force view reload
+    reload(chat.views)
+    reload(core.urls)
+    reload(conversations.urls)
+    clear_url_caches()
+    set_urlconf(None)

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

@@ -0,0 +1,318 @@
+"""Tests for document_translate functionality."""
+
+import io
+from unittest import mock
+
+from django.core.files.storage import default_storage
+
+import pytest
+from pydantic_ai import ModelResponse, RunContext, TextPart
+from pydantic_ai.exceptions import ModelRetry
+from pydantic_ai.models.function import FunctionModel
+from pydantic_ai.usage import RunUsage
+
+from chat.llm_configuration import LLModel, LLMProvider
+from chat.tools.document_translate import document_translate
+
+
+@pytest.fixture(autouse=True)
+def fixture_translation_agent_config(settings):
+    """Fixture to set used settings for agent configuration."""
+    settings.TRANSLATION_MAX_CHARS = 100_000
+    settings.LLM_CONFIGURATIONS = {
+        settings.LLM_DEFAULT_MODEL_HRID: LLModel(
+            hrid="mistral-model",
+            model_name="mistral-medium-2508",
+            human_readable_name="Mistral Medium 2508",
+            profile=None,
+            provider=LLMProvider(
+                hrid="mistral-medium-2508",
+                kind="mistral",
+                base_url="https://api.mistral.ai/v1",
+                api_key="testkey",
+            ),
+            is_active=True,
+            system_prompt="direct",
+            tools=[],
+        ),
+    }
+
+
+@pytest.fixture(name="mocked_context")
+def fixture_mocked_context():
+    """Fixture for a mocked RunContext."""
+    mock_ctx = mock.Mock(spec=RunContext)
+    mock_ctx.usage = RunUsage(input_tokens=0, output_tokens=0)
+    mock_ctx.max_retries = 2
+    mock_ctx.retries = {}
+    return mock_ctx
+
+
+def _mock_attachments_queryset(attachment):
+    """Create a mock queryset that chains .filter().order_by().afirst() returning the attachment."""
+    mock_qs = mock.Mock()
+    mock_qs.order_by.return_value = mock_qs
+    mock_qs.afirst = mock.AsyncMock(return_value=attachment)
+
+    mock_attachments = mock.Mock()
+    mock_attachments.filter.return_value = mock_qs
+    return mock_attachments
+
+
+def mocked_translation(_messages, _info=None):
+    """Mocked translation response."""
+    return ModelResponse(parts=[TextPart(content="Ceci est une traduction du document.")])
+
+
+@pytest.mark.asyncio
+async def test_document_translate_single_document(mocked_context, mock_translation_agent):
+    """Test document_translate with a single document."""
+    mock_attachment = mock.Mock()
+    mock_attachment.key = "test_doc.txt"
+    mock_attachment.file_name = "test_doc.txt"
+    mock_attachment.content_type = "text/plain"
+    mock_attachment.size = None
+
+    mock_conversation = mock.Mock()
+    mock_conversation.attachments = _mock_attachments_queryset(mock_attachment)
+
+    file_content = "This is a test document. " * 20
+
+    with mock.patch.object(
+        default_storage, "open", return_value=io.BytesIO(file_content.encode("utf-8"))
+    ):
+        mocked_context.deps = mock.Mock()
+        mocked_context.deps.conversation = mock_conversation
+
+        def mocked_translate_full(_message, _info=None):
+            """Mocked translation for full flow."""
+            return ModelResponse(parts=[TextPart(content="Ceci est un document de test.")])
+
+        with mock_translation_agent(FunctionModel(mocked_translate_full)):
+            result = await document_translate(
+                mocked_context, target_language="French", instructions=None
+            )
+
+        assert "Ceci est un document de test." in result.return_value
+        assert result.metadata["sources"] == {"test_doc.txt"}
+
+
+@pytest.mark.asyncio
+async def test_document_translate_uses_last_document(mocked_context, mock_translation_agent):
+    """Test document_translate uses the last uploaded document."""
+    mock_attachment = mock.Mock()
+    mock_attachment.key = "latest_doc.txt"
+    mock_attachment.file_name = "latest_doc.txt"
+    mock_attachment.content_type = "text/plain"
+    mock_attachment.size = None
+
+    mock_conversation = mock.Mock()
+    mock_conversation.attachments = _mock_attachments_queryset(mock_attachment)
+
+    file_content = "Content of the latest document."
+
+    with mock.patch.object(
+        default_storage, "open", return_value=io.BytesIO(file_content.encode("utf-8"))
+    ):
+        mocked_context.deps = mock.Mock()
+        mocked_context.deps.conversation = mock_conversation
+
+        with mock_translation_agent(FunctionModel(mocked_translation)):
+            result = await document_translate(
+                mocked_context, target_language="French", instructions=None
+            )
+
+        assert result.metadata["sources"] == {"latest_doc.txt"}
+        # Verify order_by was called with -created_at
+        mock_conversation.attachments.filter.return_value.order_by.assert_called_once_with(
+            "-created_at"
+        )
+
+
+@pytest.mark.asyncio
+async def test_document_translate_with_custom_instructions(mocked_context, mock_translation_agent):
+    """Test document_translate with custom instructions."""
+    mock_attachment = mock.Mock()
+    mock_attachment.key = "test.txt"
+    mock_attachment.file_name = "test.txt"
+    mock_attachment.content_type = "text/plain"
+    mock_attachment.size = None
+
+    mock_conversation = mock.Mock()
+    mock_conversation.attachments = _mock_attachments_queryset(mock_attachment)
+
+    file_content = "Test content " * 20
+
+    with mock.patch.object(
+        default_storage, "open", return_value=io.BytesIO(file_content.encode("utf-8"))
+    ):
+        mocked_context.deps = mock.Mock()
+        mocked_context.deps.conversation = mock_conversation
+
+        captured_prompts = []
+
+        def mocked_translate_with_instructions(messages, _info=None):
+            """Mocked translation that captures prompt."""
+            messages_text = messages[0].parts[-1].content
+            captured_prompts.append(messages_text)
+            return ModelResponse(parts=[TextPart(content="Traduction formelle")])
+
+        with mock_translation_agent(FunctionModel(mocked_translate_with_instructions)):
+            result = await document_translate(
+                mocked_context, target_language="French", instructions="Use formal tone"
+            )
+
+        assert result.return_value is not None
+        assert len(captured_prompts) == 1
+        assert "Use formal tone" in captured_prompts[0]
+
+
+@pytest.mark.asyncio
+@pytest.mark.parametrize("target_language", [None, ""])
+async def test_document_translate_no_target_language(
+    target_language, mocked_context, mock_translation_agent
+):
+    """Test document_translate asks the user for language when target_language is not specified."""
+    mocked_context.deps = mock.Mock()
+
+    with mock_translation_agent(FunctionModel(mocked_translation)):
+        result = await document_translate(
+            mocked_context, target_language=target_language, instructions=None
+        )
+
+    assert "target language is not specified" in result
+
+
+@pytest.mark.asyncio
+async def test_document_translate_no_text_attachments(mocked_context, mock_translation_agent):
+    """Test document_translate returns error message when no text documents found."""
+    mock_conversation = mock.Mock()
+    mock_conversation.attachments = _mock_attachments_queryset(None)
+
+    mocked_context.deps = mock.Mock()
+    mocked_context.deps.conversation = mock_conversation
+
+    with mock_translation_agent(FunctionModel(mocked_translation)):
+        result = await document_translate(
+            mocked_context, target_language="French", instructions=None
+        )
+
+    assert "No text documents found in the conversation" in result
+
+
+@pytest.mark.asyncio
+async def test_document_translate_error_reading_document(mocked_context, mock_translation_agent):
+    """Test document_translate handles errors when reading documents."""
+    mock_attachment = mock.Mock()
+    mock_attachment.key = "test.txt"
+    mock_attachment.file_name = "test.txt"
+    mock_attachment.content_type = "text/plain"
+    mock_attachment.size = None
+
+    mock_conversation = mock.Mock()
+    mock_conversation.attachments = _mock_attachments_queryset(mock_attachment)
+
+    with mock.patch.object(default_storage, "open", side_effect=IOError("File read error")):
+        mocked_context.deps = mock.Mock()
+        mocked_context.deps.conversation = mock_conversation
+
+        with mock_translation_agent(FunctionModel(mocked_translation)):
+            result = await document_translate(
+                mocked_context, target_language="French", instructions=None
+            )
+
+        assert "An unexpected error occurred during document translation" in result
+
+
+@pytest.mark.asyncio
+async def test_document_translate_error_during_translation(mocked_context, mock_translation_agent):
+    """Test document_translate handles ModelRetry during translation."""
+    mock_attachment = mock.Mock()
+    mock_attachment.key = "test.txt"
+    mock_attachment.file_name = "test.txt"
+    mock_attachment.content_type = "text/plain"
+    mock_attachment.size = None
+
+    mock_conversation = mock.Mock()
+    mock_conversation.attachments = _mock_attachments_queryset(mock_attachment)
+
+    file_content = "Test content " * 20
+
+    with mock.patch.object(
+        default_storage, "open", return_value=io.BytesIO(file_content.encode("utf-8"))
+    ):
+        mocked_context.deps = mock.Mock()
+        mocked_context.deps.conversation = mock_conversation
+
+        def mocked_translate_error(_messages, _info=None):
+            """Mocked translation that raises an error."""
+            raise ValueError("Translation error")
+
+        with mock_translation_agent(FunctionModel(mocked_translate_error)):
+            with pytest.raises(ModelRetry):
+                await document_translate(
+                    mocked_context, target_language="French", instructions=None
+                )
+
+
+@pytest.mark.asyncio
+async def test_document_translate_too_large(settings, mocked_context, mock_translation_agent):
+    """Test document_translate rejects documents exceeding max chars."""
+    settings.TRANSLATION_MAX_CHARS = 100  # Very small limit
+
+    mock_attachment = mock.Mock()
+    mock_attachment.key = "large_doc.txt"
+    mock_attachment.file_name = "large_doc.txt"
+    mock_attachment.content_type = "text/plain"
+    mock_attachment.size = None
+
+    mock_conversation = mock.Mock()
+    mock_conversation.attachments = _mock_attachments_queryset(mock_attachment)
+
+    file_content = "This is a word. " * 100  # Much larger than 100 chars
+
+    with mock.patch.object(
+        default_storage, "open", return_value=io.BytesIO(file_content.encode("utf-8"))
+    ):
+        mocked_context.deps = mock.Mock()
+        mocked_context.deps.conversation = mock_conversation
+
+        with mock_translation_agent(FunctionModel(mocked_translation)):
+            result = await document_translate(
+                mocked_context, target_language="French", instructions=None
+            )
+
+        assert "too large to translate" in result
+
+
+@pytest.mark.asyncio
+async def test_document_translate_empty_result(mocked_context, mock_translation_agent):
+    """Test document_translate raises ModelRetry when translation produces empty result."""
+    mock_attachment = mock.Mock()
+    mock_attachment.key = "test.txt"
+    mock_attachment.file_name = "test.txt"
+    mock_attachment.content_type = "text/plain"
+    mock_attachment.size = None
+
+    mock_conversation = mock.Mock()
+    mock_conversation.attachments = _mock_attachments_queryset(mock_attachment)
+
+    file_content = "Test content " * 20
+
+    with mock.patch.object(
+        default_storage, "open", return_value=io.BytesIO(file_content.encode("utf-8"))
+    ):
+        mocked_context.deps = mock.Mock()
+        mocked_context.deps.conversation = mock_conversation
+
+        def mocked_empty_translation(_messages, _info=None):
+            """Mocked translation that returns empty."""
+            return ModelResponse(parts=[TextPart(content="   ")])
+
+        with mock_translation_agent(FunctionModel(mocked_empty_translation)):
+            with pytest.raises(ModelRetry) as exc_info:
+                await document_translate(
+                    mocked_context, target_language="French", instructions=None
+                )
+
+            assert "produced an empty result" in str(exc_info.value)

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

@@ -1,14 +1,19 @@
 """Tests for the Brave web search tool."""
 
-# pylint: disable=too-many-lines
+from typing import Sequence
 
+# pylint: disable=too-many-lines
 from unittest.mock import AsyncMock, MagicMock, Mock, patch
 from urllib.parse import parse_qs
 
+from django.contrib.auth.base_user import AbstractBaseUser
+from django.contrib.sessions.backends.cache import SessionStore
+
 import httpx
 import pytest
 import respx
 from pydantic_ai import ModelRetry, RunContext, RunUsage
+from pydantic_ai._run_context import RunContextAgentDepsT
 
 from chat.tools.exceptions import ModelCannotRetry
 from chat.tools.web_search_brave import (
@@ -38,9 +43,6 @@ def brave_settings(settings):
     settings.BRAVE_SEARCH_EXTRA_SNIPPETS = True
     settings.BRAVE_SUMMARIZATION_ENABLED = False
     settings.BRAVE_CACHE_TTL = 3600
-    settings.RAG_DOCUMENT_SEARCH_BACKEND = (
-        "chat.agent_rag.document_rag_backends.albert_rag_backend.AlbertRagBackend"
-    )
     settings.BRAVE_RAG_WEB_SEARCH_CHUNK_NUMBER = 5
 
 
@@ -48,6 +50,13 @@ def brave_settings(settings):
 def fixture_mocked_context():
     """Fixture for a mocked RunContext."""
     mock_ctx = Mock(spec=RunContext)
+    mock_ctx.deps = Mock(spec=RunContextAgentDepsT)
+    user = Mock(spec=AbstractBaseUser)
+    user.sub = Mock(spec=Sequence)
+    mock_ctx.deps.user = user
+    session = SessionStore()
+    session["oidc_access_token"] = "mocked-access-token"
+    mock_ctx.deps.session = session
     mock_ctx.usage = RunUsage(input_tokens=0, output_tokens=0)
     mock_ctx.max_retries = 2
     mock_ctx.retries = {}
@@ -1011,7 +1020,12 @@ async def test_web_search_brave_with_document_backend_rag_search_params(mocked_c
             await web_search_brave_with_document_backend(mocked_context, "test query")
 
     # Verify RAG search was called with correct parameters
-    mock_document_store.asearch.assert_called_once_with("test query", results_count=5)
+    mock_document_store.asearch.assert_called_once_with(
+        query="test query",
+        results_count=5,
+        session=mocked_context.deps.session,
+        user_sub=mocked_context.deps.user.sub,
+    )
 
 
 @pytest.mark.asyncio

src/backend/chat/tests/views/chat/conversations/test_conversation.py

@@ -3,6 +3,7 @@
 
 import json
 import logging
+import time
 from unittest.mock import ANY, patch
 
 from django.utils import timezone
@@ -189,6 +190,7 @@ def test_post_conversation_data_protocol(api_client, mock_openai_stream):
                 "Today is Friday 25/07/2025.\n\nAnswer in english."
             ),
             "kind": "request",
+            "metadata": None,
             "parts": [
                 {
                     "content": ["Hello"],
@@ -197,15 +199,29 @@ def test_post_conversation_data_protocol(api_client, mock_openai_stream):
                 },
             ],
             "run_id": _run_id,
+            "timestamp": "2025-07-25T10:36:35.297675Z",
         },
         {
             "finish_reason": "stop",
             "kind": "response",
+            "metadata": None,
             "model_name": "test-model",
-            "parts": [{"content": "Hello there", "id": None, "part_kind": "text"}],
-            "provider_details": {"finish_reason": "stop"},
+            "parts": [
+                {
+                    "content": "Hello there",
+                    "id": None,
+                    "part_kind": "text",
+                    "provider_details": None,
+                    "provider_name": None,
+                }
+            ],
+            "provider_details": {
+                "finish_reason": "stop",
+                "timestamp": "2025-07-25T10:36:35.297675Z",
+            },
             "provider_name": "openai",
             "provider_response_id": "chatcmpl-1234567890",
+            "provider_url": "https://www.external-ai-service.com/",
             "timestamp": "2025-07-25T10:36:35.297675Z",
             "usage": {
                 "cache_audio_read_tokens": 0,
@@ -316,6 +332,7 @@ def test_post_conversation_data_protocol_triggers_keepalives(
                 "Answer in english."
             ),
             "kind": "request",
+            "metadata": None,
             "parts": [
                 {
                     "content": ["Hello"],
@@ -324,15 +341,29 @@ def test_post_conversation_data_protocol_triggers_keepalives(
                 },
             ],
             "run_id": _run_id,
+            "timestamp": "2025-07-25T10:36:35.297675Z",
         },
         {
             "finish_reason": "stop",
             "kind": "response",
+            "metadata": None,
             "model_name": "test-model",
-            "parts": [{"content": "Hello there", "id": None, "part_kind": "text"}],
-            "provider_details": {"finish_reason": "stop"},
+            "parts": [
+                {
+                    "content": "Hello there",
+                    "id": None,
+                    "part_kind": "text",
+                    "provider_details": None,
+                    "provider_name": None,
+                }
+            ],
+            "provider_details": {
+                "finish_reason": "stop",
+                "timestamp": "2025-07-25T10:36:35.297675Z",
+            },
             "provider_name": "openai",
             "provider_response_id": "chatcmpl-1234567890",
+            "provider_url": "https://www.external-ai-service.com/",
             "timestamp": "2025-07-25T10:36:35.297675Z",
             "usage": {
                 "cache_audio_read_tokens": 0,
@@ -437,6 +468,7 @@ def test_post_conversation_text_protocol(api_client, mock_openai_stream):
                 "Today is Friday 25/07/2025.\n\nAnswer in english."
             ),
             "kind": "request",
+            "metadata": None,
             "parts": [
                 {
                     "content": ["Hello"],
@@ -445,15 +477,29 @@ def test_post_conversation_text_protocol(api_client, mock_openai_stream):
                 },
             ],
             "run_id": _run_id,
+            "timestamp": "2025-07-25T10:36:35.297675Z",
         },
         {
             "finish_reason": "stop",
             "kind": "response",
+            "metadata": None,
             "model_name": "test-model",
-            "parts": [{"content": "Hello there", "id": None, "part_kind": "text"}],
-            "provider_details": {"finish_reason": "stop"},
+            "parts": [
+                {
+                    "content": "Hello there",
+                    "id": None,
+                    "part_kind": "text",
+                    "provider_details": None,
+                    "provider_name": None,
+                }
+            ],
+            "provider_details": {
+                "finish_reason": "stop",
+                "timestamp": "2025-07-25T10:36:35.297675Z",
+            },
             "provider_name": "openai",
             "provider_response_id": "chatcmpl-1234567890",
+            "provider_url": "https://www.external-ai-service.com/",
             "timestamp": "2025-07-25T10:36:35.297675Z",
             "usage": {
                 "cache_audio_read_tokens": 0,
@@ -623,6 +669,7 @@ def test_post_conversation_with_image(api_client, mock_openai_stream_image):
                 "Today is Friday 25/07/2025.\n\nAnswer in english."
             ),
             "kind": "request",
+            "metadata": None,
             "parts": [
                 {
                     "content": [
@@ -643,15 +690,29 @@ def test_post_conversation_with_image(api_client, mock_openai_stream_image):
                 },
             ],
             "run_id": _run_id,
+            "timestamp": "2025-07-25T10:36:35.297675Z",
         },
         {
             "finish_reason": "stop",
             "kind": "response",
+            "metadata": None,
             "model_name": "test-model",
-            "parts": [{"content": "I see a cat in the picture.", "id": None, "part_kind": "text"}],
-            "provider_details": {"finish_reason": "stop"},
+            "parts": [
+                {
+                    "content": "I see a cat in the picture.",
+                    "id": None,
+                    "part_kind": "text",
+                    "provider_details": None,
+                    "provider_name": None,
+                }
+            ],
+            "provider_details": {
+                "finish_reason": "stop",
+                "timestamp": "2025-07-25T10:36:35.297675Z",
+            },
             "provider_name": "openai",
             "provider_response_id": "chatcmpl-1234567890",
+            "provider_url": "https://www.external-ai-service.com/",
             "timestamp": "2025-07-25T10:36:35.297675Z",
             "usage": {
                 "cache_audio_read_tokens": 0,
@@ -789,6 +850,7 @@ def test_post_conversation_tool_call(api_client, mock_openai_stream_tool, settin
                 "Today is Friday 25/07/2025.\n\nAnswer in english."
             ),
             "kind": "request",
+            "metadata": None,
             "parts": [
                 {
                     "content": ["Weather in Paris?"],
@@ -797,23 +859,31 @@ def test_post_conversation_tool_call(api_client, mock_openai_stream_tool, settin
                 },
             ],
             "run_id": _run_id,
+            "timestamp": "2025-07-25T10:36:35.297675Z",
         },
         {
             "finish_reason": "tool_call",
             "kind": "response",
+            "metadata": None,
             "model_name": "test-model",
             "parts": [
                 {
                     "args": '{"location":"Paris", "unit":"celsius"}',
                     "id": None,
                     "part_kind": "tool-call",
+                    "provider_details": None,
+                    "provider_name": None,
                     "tool_call_id": "xLDcIljdsDrz0idal7tATWSMm2jhMj47",
                     "tool_name": "get_current_weather",
                 }
             ],
-            "provider_details": {"finish_reason": "tool_calls"},
+            "provider_details": {
+                "finish_reason": "tool_calls",
+                "timestamp": "2025-07-25T10:36:35.297675Z",
+            },
             "provider_name": "openai",
             "provider_response_id": "chatcmpl-tool-call",
+            "provider_url": "https://www.external-ai-service.com/",
             "timestamp": "2025-07-25T10:36:35.297675Z",
             "usage": {
                 "cache_audio_read_tokens": 0,
@@ -833,6 +903,7 @@ def test_post_conversation_tool_call(api_client, mock_openai_stream_tool, settin
                 "Today is Friday 25/07/2025.\n\nAnswer in english."
             ),
             "kind": "request",
+            "metadata": None,
             "parts": [
                 {
                     "content": {"location": "Paris", "temperature": 22, "unit": "celsius"},
@@ -844,17 +915,29 @@ def test_post_conversation_tool_call(api_client, mock_openai_stream_tool, settin
                 }
             ],
             "run_id": _run_id,
+            "timestamp": "2025-07-25T10:36:35.297675Z",
         },
         {
             "finish_reason": "stop",
             "kind": "response",
+            "metadata": None,
             "model_name": "test-model",
             "parts": [
-                {"content": "The current weather in Paris is nice", "id": None, "part_kind": "text"}
+                {
+                    "content": "The current weather in Paris is nice",
+                    "id": None,
+                    "part_kind": "text",
+                    "provider_details": None,
+                    "provider_name": None,
+                }
             ],
-            "provider_details": {"finish_reason": "stop"},
+            "provider_details": {
+                "finish_reason": "stop",
+                "timestamp": "2025-07-25T10:36:35.297675Z",
+            },
             "provider_name": "openai",
             "provider_response_id": "chatcmpl-final",
+            "provider_url": "https://www.external-ai-service.com/",
             "timestamp": "2025-07-25T10:36:35.297675Z",
             "usage": {
                 "cache_audio_read_tokens": 0,
@@ -991,6 +1074,7 @@ def test_post_conversation_tool_call_fails(api_client, mock_openai_stream_tool,
                 "Today is Friday 25/07/2025.\n\nAnswer in french."
             ),
             "kind": "request",
+            "metadata": None,
             "parts": [
                 {
                     "content": ["Weather in Paris?"],
@@ -999,23 +1083,31 @@ def test_post_conversation_tool_call_fails(api_client, mock_openai_stream_tool,
                 },
             ],
             "run_id": _run_id,
+            "timestamp": "2025-07-25T10:36:35.297675Z",
         },
         {
             "finish_reason": "tool_call",
             "kind": "response",
+            "metadata": None,
             "model_name": "test-model",
             "parts": [
                 {
                     "args": '{"location":"Paris", "unit":"celsius"}',
                     "id": None,
                     "part_kind": "tool-call",
+                    "provider_details": None,
+                    "provider_name": None,
                     "tool_call_id": "xLDcIljdsDrz0idal7tATWSMm2jhMj47",
                     "tool_name": "get_current_weather",
                 }
             ],
-            "provider_details": {"finish_reason": "tool_calls"},
+            "provider_details": {
+                "finish_reason": "tool_calls",
+                "timestamp": "2025-07-25T10:36:35.297675Z",
+            },
             "provider_name": "openai",
             "provider_response_id": "chatcmpl-tool-call",
+            "provider_url": "https://www.external-ai-service.com/",
             "timestamp": "2025-07-25T10:36:35.297675Z",
             "usage": {
                 "cache_audio_read_tokens": 0,
@@ -1035,6 +1127,7 @@ def test_post_conversation_tool_call_fails(api_client, mock_openai_stream_tool,
                 "Today is Friday 25/07/2025.\n\nAnswer in french."
             ),
             "kind": "request",
+            "metadata": None,
             "parts": [
                 {
                     "content": "Unknown tool name: 'get_current_weather'. No tools available.",
@@ -1045,17 +1138,29 @@ def test_post_conversation_tool_call_fails(api_client, mock_openai_stream_tool,
                 }
             ],
             "run_id": _run_id,
+            "timestamp": "2025-07-25T10:36:35.297675Z",
         },
         {
             "finish_reason": "stop",
             "kind": "response",
+            "metadata": None,
             "model_name": "test-model",
             "parts": [
-                {"content": "I cannot give you an answer to that.", "id": None, "part_kind": "text"}
+                {
+                    "content": "I cannot give you an answer to that.",
+                    "id": None,
+                    "part_kind": "text",
+                    "provider_details": None,
+                    "provider_name": None,
+                }
             ],
-            "provider_details": {"finish_reason": "stop"},
+            "provider_details": {
+                "finish_reason": "stop",
+                "timestamp": "2025-07-25T10:36:35.297675Z",
+            },
             "provider_name": "openai",
             "provider_response_id": "chatcmpl-final",
+            "provider_url": "https://www.external-ai-service.com/",
             "timestamp": "2025-07-25T10:36:35.297675Z",
             "usage": {
                 "cache_audio_read_tokens": 0,
@@ -1301,6 +1406,7 @@ def test_post_conversation_data_protocol_no_stream(
                 "You are an amazing assistant.\n\nToday is Friday 25/07/2025.\n\nAnswer in english."
             ),
             "kind": "request",
+            "metadata": None,
             "parts": [
                 {
                     "content": ["Why the sky is blue?"],
@@ -1309,10 +1415,12 @@ def test_post_conversation_data_protocol_no_stream(
                 },
             ],
             "run_id": _run_id,
+            "timestamp": "2025-07-25T10:36:35.297675Z",
         },
         {
             "finish_reason": "stop",
             "kind": "response",
+            "metadata": None,
             "model_name": "mistralai/Mistral-Small-3.2-24B-Instruct-2506",
             "parts": [
                 {
@@ -1320,12 +1428,18 @@ def test_post_conversation_data_protocol_no_stream(
                     "Rayleigh scattering.",
                     "id": None,
                     "part_kind": "text",
+                    "provider_details": None,
+                    "provider_name": None,
                 }
             ],
-            "provider_details": {"finish_reason": "stop"},
+            "provider_details": {
+                "finish_reason": "stop",
+                "timestamp": "2025-09-22T14:13:49Z",
+            },
             "provider_name": "openai",
             "provider_response_id": "chatcmpl-92c413bb5a45426299335d0621324654",
-            "timestamp": "2025-09-22T14:13:49Z",
+            "provider_url": "https://www.external-ai-service.com",
+            "timestamp": "2025-07-25T10:36:35.297675Z",
             "usage": {
                 "cache_audio_read_tokens": 0,
                 "cache_read_tokens": 0,
@@ -1441,6 +1555,7 @@ async def test_post_conversation_async(api_client, mock_openai_stream, monkeypat
                 "Today is Friday 25/07/2025.\n\nAnswer in english."
             ),
             "kind": "request",
+            "metadata": None,
             "parts": [
                 {
                     "content": ["Hello"],
@@ -1449,15 +1564,29 @@ async def test_post_conversation_async(api_client, mock_openai_stream, monkeypat
                 },
             ],
             "run_id": _run_id,
+            "timestamp": "2025-07-25T10:36:35.297675Z",
         },
         {
             "finish_reason": "stop",
             "kind": "response",
+            "metadata": None,
             "model_name": "test-model",
-            "parts": [{"content": "Hello there", "id": None, "part_kind": "text"}],
-            "provider_details": {"finish_reason": "stop"},
+            "parts": [
+                {
+                    "content": "Hello there",
+                    "id": None,
+                    "part_kind": "text",
+                    "provider_details": None,
+                    "provider_name": None,
+                }
+            ],
+            "provider_details": {
+                "finish_reason": "stop",
+                "timestamp": "2025-07-25T10:36:35.297675Z",
+            },
             "provider_name": "openai",
             "provider_response_id": "chatcmpl-1234567890",
+            "provider_url": "https://www.external-ai-service.com/",
             "timestamp": "2025-07-25T10:36:35.297675Z",
             "usage": {
                 "cache_audio_read_tokens": 0,
@@ -1581,6 +1710,7 @@ async def test_post_conversation_async_triggers_keepalive(
                 "Today is Friday 25/07/2025.\n\nAnswer in english."
             ),
             "kind": "request",
+            "metadata": None,
             "parts": [
                 {
                     "content": ["Hello"],
@@ -1589,15 +1719,29 @@ async def test_post_conversation_async_triggers_keepalive(
                 },
             ],
             "run_id": _run_id,
+            "timestamp": ANY,
         },
         {
             "finish_reason": "stop",
             "kind": "response",
+            "metadata": None,
             "model_name": "test-model",
-            "parts": [{"content": "Hello there", "id": None, "part_kind": "text"}],
-            "provider_details": {"finish_reason": "stop"},
+            "parts": [
+                {
+                    "content": "Hello there",
+                    "id": None,
+                    "part_kind": "text",
+                    "provider_details": None,
+                    "provider_name": None,
+                }
+            ],
+            "provider_details": {
+                "finish_reason": "stop",
+                "timestamp": ANY,
+            },
             "provider_name": "openai",
             "provider_response_id": "chatcmpl-1234567890",
+            "provider_url": "https://www.external-ai-service.com/",
             "timestamp": ANY,
             "usage": {
                 "cache_audio_read_tokens": 0,
@@ -1612,3 +1756,106 @@ async def test_post_conversation_async_triggers_keepalive(
             "run_id": _run_id,
         },
     ]
+
+
+def test_post_conversation_oidc_refresh_enabled_unrefreshed(  # pylint: disable=unused-argument
+    api_client, oidc_refresh_token_enabled
+):
+    """Test posting messages to a conversation without fresh access token should be forbidden."""
+    chat_conversation = ChatConversationFactory(owner__language="en-us")
+
+    url = f"/api/v1.0/chats/{chat_conversation.pk}/conversation/?protocol=data"
+    data = {
+        "messages": [
+            {
+                "id": "yuPoOuBkKA4FnKvk",
+                "role": "user",
+                "parts": [{"text": "Hello", "type": "text"}],
+                "content": "Hello",
+                "createdAt": "2025-07-03T15:22:17.105Z",
+            }
+        ]
+    }
+    api_client.force_login(
+        chat_conversation.owner, backend="core.authentication.backends.OIDCAuthenticationBackend"
+    )
+
+    response = api_client.post(url, data, format="json")
+
+    assert response.status_code == status.HTTP_401_UNAUTHORIZED
+
+
+@freeze_time("2025-07-25T10:36:35.297675Z")
+@respx.mock
+def test_post_conversation_oidc_refresh_enabled(  # pylint: disable=unused-argument
+    api_client, mock_openai_stream, oidc_refresh_token_enabled
+):
+    """Test posting messages to a conversation using the 'data' protocol."""
+    chat_conversation = ChatConversationFactory(owner__language="en-us")
+
+    url = f"/api/v1.0/chats/{chat_conversation.pk}/conversation/?protocol=data"
+    data = {
+        "messages": [
+            {
+                "id": "yuPoOuBkKA4FnKvk",
+                "role": "user",
+                "parts": [{"text": "Hello", "type": "text"}],
+                "content": "Hello",
+                "createdAt": "2025-07-03T15:22:17.105Z",
+            }
+        ]
+    }
+    api_client.force_login(
+        chat_conversation.owner, backend="core.authentication.backends.OIDCAuthenticationBackend"
+    )
+    session = api_client.session
+
+    session["oidc_id_token_expiration"] = time.time() + 3600  # valid for 1 hour
+    session["oidc_token_expiration"] = session["oidc_id_token_expiration"]  # ...
+    session.save()
+
+    response = api_client.post(url, data, format="json")
+
+    assert response.status_code == status.HTTP_200_OK
+    assert response.get("Content-Type") == "text/event-stream"
+    assert response.get("x-vercel-ai-data-stream") == "v1"
+    assert response.streaming
+
+    # Wait for the streaming content to be fully received
+    response_content = b"".join(response.streaming_content).decode("utf-8")
+
+    # Replace UUIDs with placeholders for assertion
+    response_content = replace_uuids_with_placeholder(response_content)
+
+    assert response_content == (
+        '0:"Hello"\n'
+        '0:" there"\n'
+        'f:{"messageId":"<mocked_uuid>"}\n'
+        'd:{"finishReason":"stop","usage":{"promptTokens":0,"completionTokens":0}}\n'
+    )
+
+    assert mock_openai_stream.called
+
+    # ensure instructions are merged as a system prompt
+    last_request_payload = json.loads(respx.calls.last.request.content)
+    assert last_request_payload["messages"][0] == {
+        "content": (
+            "You are a helpful test assistant :)\n\nToday is Friday 25/07/2025.\n\n"
+            "Answer in english."
+        ),
+        "role": "system",
+    }
+
+    chat_conversation.refresh_from_db()
+    assert chat_conversation.ui_messages == [
+        {
+            "content": "Hello",
+            "createdAt": "2025-07-03T15:22:17.105Z",
+            "id": "yuPoOuBkKA4FnKvk",
+            "parts": [{"text": "Hello", "type": "text"}],
+            "role": "user",
+        }
+    ]
+
+    assert len(chat_conversation.messages) == 2
+    assert len(chat_conversation.pydantic_messages) == 2

src/backend/chat/tests/views/chat/conversations/test_conversation_with_document_upload.py

@@ -8,6 +8,7 @@ import logging
 from io import BytesIO
 from unittest import mock
 
+from django.contrib.sessions.backends.cache import SessionStore
 from django.utils import formats, timezone
 
 import httpx
@@ -41,28 +42,49 @@ from chat.tests.utils import replace_uuids_with_placeholder
 pytestmark = pytest.mark.django_db(transaction=True)
 
 
-@pytest.fixture(autouse=True)
-def ai_settings(settings):
+@pytest.fixture(
+    autouse=True,
+    params=[
+        "chat.agent_rag.document_rag_backends.find_rag_backend.FindRagBackend",
+        "chat.agent_rag.document_rag_backends.albert_rag_backend.AlbertRagBackend",
+    ],
+)
+def ai_settings(request, settings):
     """Fixture to set AI service URLs for testing."""
-    settings.AI_BASE_URL = "https://www.external-ai-service.com/"
-    settings.AI_API_KEY = "test-api-key"
-    settings.AI_MODEL = "test-model"
-    settings.AI_AGENT_INSTRUCTIONS = "You are a helpful test assistant :)"
 
-    # Enable Albert API for document search
-    settings.RAG_DOCUMENT_SEARCH_BACKEND = (
-        "chat.agent_rag.document_rag_backends.albert_rag_backend.AlbertRagBackend"
-    )
-    settings.ALBERT_API_URL = "https://albert.api.etalab.gouv.fr"
-    settings.ALBERT_API_KEY = "albert-api-key"
+    # enable on rag document search tool
+    settings.RAG_DOCUMENT_SEARCH_BACKEND = request.param
     settings.RAG_WEB_SEARCH_PROMPT_UPDATE = (
         "Based on the following document contents:\n\n{search_results}\n\n"
         "Please answer the user's question: {user_prompt}"
     )
 
+    settings.AI_BASE_URL = "https://www.external-ai-service.com/"
+    settings.AI_API_KEY = "test-api-key"
+    settings.AI_MODEL = "test-model"
+    settings.AI_AGENT_INSTRUCTIONS = "You are a helpful test assistant :)"
+
+    # Albert API settings
+    settings.ALBERT_API_URL = "https://albert.api.etalab.gouv.fr"
+    settings.ALBERT_API_KEY = "albert-api-key"
+
+    # Find API settings
+    settings.FIND_API_URL = "https://find.api.example.com"
+    settings.FIND_API_KEY = "find-api-key"
+
     return settings
 
 
+@pytest.fixture(autouse=True)
+def mock_refresh_access_token():
+    """Mock refresh_access_token to bypass token refresh in tests."""
+    with mock.patch("utils.oidc.refresh_access_token") as mocked_refresh_access_token:
+        session = SessionStore()
+        session["oidc_access_token"] = "mocked-access-token"
+        mocked_refresh_access_token.return_value = session
+        yield mocked_refresh_access_token
+
+
 @pytest.fixture(name="sample_pdf_content")
 def fixture_sample_pdf_content():
     """Create a dummy PDF content as BytesIO."""
@@ -81,10 +103,18 @@ def fixture_sample_pdf_content():
     return BytesIO(pdf_data)
 
 
-@pytest.fixture(name="mock_albert_api")
-def fixture_mock_albert_api():
+@pytest.fixture(name="mock_document_api")
+def fixture_mock_document_api():
     """Fixture to mock the Albert API endpoints."""
     # Mock collection creation
+
+    document_name = "sample.pdf"
+    document_content = "This is the content of the PDF."
+    prompt_tokens = 10
+    completion_tokens = 20
+    search_method = "semantic"
+    search_score = 0.9
+
     responses.post(
         "https://albert.api.etalab.gouv.fr/v1/collections",
         json={"id": "123", "name": "test-collection"},
@@ -101,7 +131,7 @@ def fixture_mock_albert_api():
                     "metadata": {"document_name": "sample.pdf"},
                 }
             ],
-            "usage": {"prompt_tokens": 10, "completion_tokens": 20},
+            "usage": {"prompt_tokens": prompt_tokens, "completion_tokens": completion_tokens},
         },
         status=status.HTTP_200_OK,
     )
@@ -119,20 +149,42 @@ def fixture_mock_albert_api():
         json={
             "data": [
                 {
-                    "method": "semantic",
+                    "method": search_method,
                     "chunk": {
                         "id": 123,
-                        "content": "This is the content of the PDF.",
-                        "metadata": {"document_name": "sample.pdf"},
+                        "content": document_content,
+                        "metadata": {"document_name": document_name},
                     },
-                    "score": 0.9,
+                    "score": search_score,
                 }
             ],
-            "usage": {"prompt_tokens": 10, "completion_tokens": 20},
+            "usage": {"prompt_tokens": prompt_tokens, "completion_tokens": completion_tokens},
         },
         status=status.HTTP_200_OK,
     )
 
+    # Mock document indexing (Find API)
+    responses.post(
+        "https://find.api.example.com/api/v1.0/documents/index/",
+        json={"id": "456", "status": "indexed"},
+        status=status.HTTP_200_OK,
+    )
+
+    # Mock document search (Find API)
+    responses.post(
+        "https://find.api.example.com/api/v1.0/documents/search/",
+        json=[
+            {
+                "_source": {
+                    "title.fr": document_name,
+                    "content.fr": document_content,
+                },
+                "_score": search_score,
+            }
+        ],
+        status=status.HTTP_200_OK,
+    )
+
 
 @pytest.fixture(name="mock_summarization_agent")
 def fixture_mock_summarization_agent():
@@ -219,9 +271,9 @@ def fixture_mock_openai_stream():
 def test_post_conversation_with_document_upload(
     # pylint: disable=too-many-arguments,too-many-positional-arguments
     api_client,
-    mock_albert_api,  # pylint: disable=unused-argument
+    mock_document_api,  # pylint: disable=unused-argument
     sample_pdf_content,
-    today_promt_date,
+    today_prompt_date,
     mock_ai_agent_service,
 ):
     """
@@ -357,7 +409,7 @@ def test_post_conversation_with_document_upload(
 
     assert chat_conversation.pydantic_messages[0] == {
         "instructions": "You are a helpful test assistant :)\n\n"
-        f"{today_promt_date}\n\n"
+        f"{today_prompt_date}\n\n"
         "Answer in english.\n\n"
         "Use document_search_rag ONLY to retrieve specific passages from "
         "attached documents. Do NOT use it to summarize; for summaries, "
@@ -372,6 +424,7 @@ def test_post_conversation_with_document_upload(
         "Do not request re-upload of documents; consider them already "
         "available via the internal store.",
         "kind": "request",
+        "metadata": None,
         "parts": [
             {
                 "content": ["What does the document say?"],
@@ -380,10 +433,12 @@ def test_post_conversation_with_document_upload(
             },
         ],
         "run_id": _run_id,
+        "timestamp": timezone_now,
     }
     assert chat_conversation.pydantic_messages[1] == {
         "finish_reason": None,
         "kind": "response",
+        "metadata": None,
         "model_name": "function::agent_model",
         "parts": [
             {
@@ -392,11 +447,14 @@ def test_post_conversation_with_document_upload(
                 "part_kind": "tool-call",
                 "tool_call_id": chat_conversation.pydantic_messages[1]["parts"][0]["tool_call_id"],
                 "tool_name": "document_search_rag",
+                "provider_details": None,
+                "provider_name": None,
             }
         ],
         "provider_details": None,
         "provider_name": None,
         "provider_response_id": None,
+        "provider_url": None,
         "timestamp": timezone_now,
         "usage": {
             "cache_audio_read_tokens": 0,
@@ -413,7 +471,7 @@ def test_post_conversation_with_document_upload(
     assert chat_conversation.pydantic_messages[2] == {
         "instructions": (
             "You are a helpful test assistant :)\n\n"
-            f"{today_promt_date}\n\n"
+            f"{today_prompt_date}\n\n"
             "Answer in english.\n\n"
             "Use document_search_rag ONLY to retrieve specific passages from "
             "attached documents. Do NOT use it to summarize; for summaries, "
@@ -429,6 +487,7 @@ def test_post_conversation_with_document_upload(
             "available via the internal store."
         ),
         "kind": "request",
+        "metadata": None,
         "parts": [
             {
                 "content": [
@@ -446,21 +505,26 @@ def test_post_conversation_with_document_upload(
             }
         ],
         "run_id": _run_id,
+        "timestamp": timezone_now,
     }
     assert chat_conversation.pydantic_messages[3] == {
         "finish_reason": None,
         "kind": "response",
+        "metadata": None,
         "model_name": "function::agent_model",
         "parts": [
             {
                 "content": "From the document, I can see that it says 'Hello PDF'.",
                 "id": None,
                 "part_kind": "text",
+                "provider_details": None,
+                "provider_name": None,
             }
         ],
         "provider_details": None,
         "provider_name": None,
         "provider_response_id": None,
+        "provider_url": None,
         "timestamp": timezone_now,
         "usage": {
             "cache_audio_read_tokens": 0,
@@ -548,9 +612,9 @@ def test_post_conversation_with_document_upload_feature_disabled(
 @freeze_time()
 def test_post_conversation_with_document_upload_summarize(  # pylint: disable=too-many-arguments,too-many-positional-arguments  # noqa: PLR0913
     api_client,
-    mock_albert_api,  # pylint: disable=unused-argument
+    mock_document_api,  # pylint: disable=unused-argument
     sample_pdf_content,
-    today_promt_date,
+    today_prompt_date,
     mock_ai_agent_service,
     mock_summarization_agent,  # pylint: disable=unused-argument
 ):
@@ -687,7 +751,7 @@ def test_post_conversation_with_document_upload_summarize(  # pylint: disable=to
     assert chat_conversation.pydantic_messages[0] == {
         "instructions": (
             "You are a helpful test assistant :)\n\n"
-            f"{today_promt_date}\n\n"
+            f"{today_prompt_date}\n\n"
             "Answer in english.\n\n"
             "Use document_search_rag ONLY to retrieve specific passages from "
             "attached documents. Do NOT use it to summarize; for summaries, "
@@ -703,6 +767,7 @@ def test_post_conversation_with_document_upload_summarize(  # pylint: disable=to
             "available via the internal store."
         ),
         "kind": "request",
+        "metadata": None,
         "parts": [
             {
                 "content": ["Make a summary of this document."],
@@ -711,10 +776,12 @@ def test_post_conversation_with_document_upload_summarize(  # pylint: disable=to
             },
         ],
         "run_id": _run_id,
+        "timestamp": timezone_now,
     }
     assert chat_conversation.pydantic_messages[1] == {
         "finish_reason": None,
         "kind": "response",
+        "metadata": None,
         "model_name": "function::agent_model",
         "parts": [
             {
@@ -723,11 +790,14 @@ def test_post_conversation_with_document_upload_summarize(  # pylint: disable=to
                 "part_kind": "tool-call",
                 "tool_call_id": chat_conversation.pydantic_messages[1]["parts"][0]["tool_call_id"],
                 "tool_name": "summarize",
+                "provider_details": None,
+                "provider_name": None,
             }
         ],
         "provider_details": None,
         "provider_name": None,
         "provider_response_id": None,
+        "provider_url": None,
         "timestamp": timezone_now,
         "usage": {
             "cache_audio_read_tokens": 0,
@@ -744,7 +814,7 @@ def test_post_conversation_with_document_upload_summarize(  # pylint: disable=to
     assert chat_conversation.pydantic_messages[2] == {
         "instructions": (
             "You are a helpful test assistant :)\n\n"
-            f"{today_promt_date}\n\n"
+            f"{today_prompt_date}\n\n"
             "Answer in english.\n\n"
             "Use document_search_rag ONLY to retrieve specific passages from "
             "attached documents. Do NOT use it to summarize; for summaries, "
@@ -760,6 +830,7 @@ def test_post_conversation_with_document_upload_summarize(  # pylint: disable=to
             "available via the internal store."
         ),
         "kind": "request",
+        "metadata": None,
         "parts": [
             {
                 "content": "The document discusses various topics.",
@@ -771,17 +842,26 @@ def test_post_conversation_with_document_upload_summarize(  # pylint: disable=to
             }
         ],
         "run_id": _run_id,
+        "timestamp": timezone_now,
     }
     assert chat_conversation.pydantic_messages[3] == {
         "finish_reason": None,
         "kind": "response",
+        "metadata": None,
         "model_name": "function::agent_model",
         "parts": [
-            {"content": "The document discusses various topics.", "id": None, "part_kind": "text"}
+            {
+                "content": "The document discusses various topics.",
+                "id": None,
+                "part_kind": "text",
+                "provider_details": None,
+                "provider_name": None,
+            }
         ],
         "provider_details": None,
         "provider_name": None,
         "provider_response_id": None,
+        "provider_url": None,
         "timestamp": timezone_now,
         "usage": {
             "cache_audio_read_tokens": 0,

src/backend/chat/tests/views/chat/conversations/test_conversation_with_document_url.py

@@ -37,11 +37,20 @@ from chat.tests.utils import replace_uuids_with_placeholder
 pytestmark = pytest.mark.django_db(transaction=True)
 
 
-@pytest.fixture(autouse=True)
-def ai_settings(settings):
+@pytest.fixture(
+    autouse=True,
+    params=[
+        "chat.agent_rag.document_rag_backends.find_rag_backend.FindRagBackend",
+        "chat.agent_rag.document_rag_backends.albert_rag_backend.AlbertRagBackend",
+    ],
+)
+def ai_settings(request, settings):
     """Fixture to set AI service URLs for testing."""
+    settings.RAG_DOCUMENT_SEARCH_BACKEND = request.param
     settings.AI_BASE_URL = "https://www.external-ai-service.com/"
     settings.AI_API_KEY = "test-api-key"
+    settings.FIND_API_URL = "https://app-find"
+    settings.FIND_API_KEY = "find-api-key"
     settings.AI_MODEL = "test-model"
     settings.AI_AGENT_INSTRUCTIONS = "You are a helpful test assistant :)"
     return settings
@@ -64,12 +73,13 @@ def test_post_conversation_with_local_pdf_document_url(
     # pylint: disable=too-many-arguments,too-many-positional-arguments
     api_client,
     sample_document_content,
-    today_promt_date,
+    today_prompt_date,
     mock_ai_agent_service,
 ):
     """
     Test POST to /api/v1/chats/{pk}/conversation/ with a document URL.
     """
+
     responses.post(
         "https://albert.api.etalab.gouv.fr/v1/collections",
         json={"id": 123, "object": "collection"},
@@ -85,6 +95,10 @@ def test_post_conversation_with_local_pdf_document_url(
         json={"id": "document_id", "object": "document"},
         status=200,
     )
+    responses.post(
+        "https://app-find/api/v1.0/documents/index/",
+        status=200,
+    )
 
     chat_conversation = ChatConversationFactory(owner__language="en-us")
     api_client.force_authenticate(user=chat_conversation.owner)
@@ -127,7 +141,7 @@ def test_post_conversation_with_local_pdf_document_url(
                 ],
                 instructions=(
                     "You are a helpful test assistant :)\n\n"
-                    f"{today_promt_date}\n\n"
+                    f"{today_prompt_date}\n\n"
                     "Answer in english.\n\n"
                     "Use document_search_rag ONLY to retrieve specific passages from attached "
                     "documents. Do NOT use it to summarize; for summaries, call the summarize "
@@ -143,6 +157,7 @@ def test_post_conversation_with_local_pdf_document_url(
                     "via the internal store."
                 ),
                 run_id=messages[0].run_id,
+                timestamp=timezone.now(),
             )
         ]
         yield "This is a document about a single pixel."
@@ -216,7 +231,7 @@ def test_post_conversation_with_local_pdf_document_url(
     assert chat_conversation.pydantic_messages == [
         {
             "instructions": "You are a helpful test assistant :)\n\n"
-            f"{today_promt_date}\n\n"
+            f"{today_prompt_date}\n\n"
             "Answer in english.\n"
             "\n"
             "Use document_search_rag ONLY to retrieve specific passages "
@@ -236,6 +251,7 @@ def test_post_conversation_with_local_pdf_document_url(
             "conversation. Do not request re-upload of documents; "
             "consider them already available via the internal store.",
             "kind": "request",
+            "metadata": None,
             "parts": [
                 {
                     "content": [
@@ -246,21 +262,26 @@ def test_post_conversation_with_local_pdf_document_url(
                 },
             ],
             "run_id": _run_id,
+            "timestamp": timestamp,
         },
         {
             "finish_reason": None,
             "kind": "response",
+            "metadata": None,
             "model_name": "function::agent_model",
             "parts": [
                 {
                     "content": "This is a document about a single pixel.",
                     "id": None,
                     "part_kind": "text",
+                    "provider_details": None,
+                    "provider_name": None,
                 }
             ],
             "provider_details": None,
             "provider_name": None,
             "provider_response_id": None,
+            "provider_url": None,
             "timestamp": timestamp,
             "usage": {
                 "cache_audio_read_tokens": 0,
@@ -532,6 +553,7 @@ def test_post_conversation_with_local_document_url_in_history(  # pylint: disabl
         assert presigned_url.find("X-Amz-Signature=") != -1
         assert presigned_url.find("X-Amz-Date=") != -1
         assert presigned_url.find("X-Amz-Expires=") != -1
+        timestamp_now = timezone.now()
 
         assert messages == [
             ModelRequest(
@@ -545,7 +567,7 @@ def test_post_conversation_with_local_document_url_in_history(  # pylint: disabl
                                 identifier="sample.pdf",
                             ),
                         ],
-                        timestamp=timezone.now(),
+                        timestamp=timestamp_now,
                     ),
                 ],
                 instructions="You are a helpful test assistant :)\n\n"
@@ -557,7 +579,7 @@ def test_post_conversation_with_local_document_url_in_history(  # pylint: disabl
                 parts=[TextPart(content="This is a document about a single pixel.")],
                 usage=RequestUsage(input_tokens=50, output_tokens=9),
                 model_name="function::agent_model",
-                timestamp=timezone.now(),
+                timestamp=timestamp_now,
                 run_id=messages[1].run_id,
             ),
             ModelRequest(
@@ -566,9 +588,10 @@ def test_post_conversation_with_local_document_url_in_history(  # pylint: disabl
                         content=[
                             "Give more details about this document.",
                         ],
-                        timestamp=timezone.now(),
+                        timestamp=timestamp_now,
                     )
                 ],
+                timestamp=timestamp_now,
                 instructions="You are a helpful test assistant :)\n\n"
                 "Today is Saturday 18/10/2025.\n\n"
                 "Answer in english.",
@@ -725,6 +748,7 @@ def test_post_conversation_with_local_document_url_in_history(  # pylint: disabl
             "instructions": "You are a helpful test assistant :)\n\n"
             "Today is Saturday 18/10/2025.\n\n"
             "Answer in english.",
+            "metadata": None,
             "kind": "request",
             "parts": [
                 {
@@ -734,21 +758,26 @@ def test_post_conversation_with_local_document_url_in_history(  # pylint: disabl
                 }
             ],
             "run_id": _run_id,
+            "timestamp": "2025-10-18T20:48:20.286204Z",
         },
         {
             "finish_reason": None,
             "kind": "response",
+            "metadata": None,
             "model_name": "function::agent_model",
             "parts": [
                 {
                     "content": "This is a document of square, very small and nice.",
                     "id": None,
                     "part_kind": "text",
+                    "provider_details": None,
+                    "provider_name": None,
                 }
             ],
             "provider_details": None,
             "provider_name": None,
             "provider_response_id": None,
+            "provider_url": None,
             "timestamp": "2025-10-18T20:48:20.286204Z",
             "usage": {
                 "cache_audio_read_tokens": 0,
@@ -778,7 +807,7 @@ def test_post_conversation_with_local_document_url_in_history(  # pylint: disabl
 def test_post_conversation_with_local_not_pdf_document_url(
     # pylint: disable=too-many-arguments,too-many-positional-arguments
     api_client,
-    today_promt_date,
+    today_prompt_date,
     mock_ai_agent_service,
     file_name,
     content_type,
@@ -801,6 +830,10 @@ def test_post_conversation_with_local_not_pdf_document_url(
         json={"id": "document_id", "object": "document"},
         status=200,
     )
+    responses.post(
+        "https://app-find/api/v1.0/documents/index/",
+        status=200,
+    )
 
     chat_conversation = ChatConversationFactory(owner__language="en-us")
     api_client.force_authenticate(user=chat_conversation.owner)
@@ -836,6 +869,8 @@ def test_post_conversation_with_local_not_pdf_document_url(
     )
 
     async def agent_model(messages: list[ModelMessage], _info: AgentInfo):
+        timestamp_now = timezone.now()
+
         assert messages == [
             ModelRequest(
                 parts=[
@@ -844,12 +879,13 @@ def test_post_conversation_with_local_not_pdf_document_url(
                             "What is in this document?",
                             # No presigned URL for non-PDF documents (not supporter by LLM)
                         ],
-                        timestamp=timezone.now(),
+                        timestamp=timestamp_now,
                     ),
                 ],
+                timestamp=timestamp_now,
                 instructions=(
                     "You are a helpful test assistant :)\n\n"
-                    f"{today_promt_date}\n\n"
+                    f"{today_prompt_date}\n\n"
                     "Answer in english.\n\n"
                     "Use document_search_rag ONLY to retrieve specific passages from "
                     "attached documents. Do NOT use it to summarize; for summaries, "
@@ -940,7 +976,7 @@ def test_post_conversation_with_local_not_pdf_document_url(
         {
             "instructions": (
                 "You are a helpful test assistant :)\n\n"
-                f"{today_promt_date}\n\n"
+                f"{today_prompt_date}\n\n"
                 "Answer in english.\n\n"
                 "Use document_search_rag ONLY to retrieve specific passages from "
                 "attached documents. Do NOT use it to summarize; for summaries, "
@@ -957,6 +993,7 @@ def test_post_conversation_with_local_not_pdf_document_url(
                 "consider them already available via the internal store."
             ),
             "kind": "request",
+            "metadata": None,
             "parts": [
                 {
                     "content": [
@@ -967,21 +1004,26 @@ def test_post_conversation_with_local_not_pdf_document_url(
                 },
             ],
             "run_id": _run_id,
+            "timestamp": timestamp,
         },
         {
             "finish_reason": None,
             "kind": "response",
+            "metadata": None,
             "model_name": "function::agent_model",
             "parts": [
                 {
                     "content": "This is a document about you.",
                     "id": None,
                     "part_kind": "text",
+                    "provider_details": None,
+                    "provider_name": None,
                 }
             ],
             "provider_details": None,
             "provider_name": None,
             "provider_response_id": None,
+            "provider_url": None,
             "timestamp": timestamp,
             "usage": {
                 "cache_audio_read_tokens": 0,

src/backend/chat/tests/views/chat/conversations/test_conversation_with_history.py

@@ -29,6 +29,10 @@ from chat.tests.utils import replace_uuids_with_placeholder
 pytestmark = pytest.mark.django_db(transaction=True)
 
 
+PYAI_CURRENT = "current"
+PYAI_V1_17 = "v1.17"
+
+
 @pytest.fixture(autouse=True)
 def ai_settings(settings):
     """Fixture to set AI service URLs for testing."""
@@ -41,17 +45,9 @@ def ai_settings(settings):
     return settings
 
 
-@pytest.fixture(name="history_conversation")
-def history_conversation_fixture():
-    """Create a conversation with existing message history."""
-    # Create a timestamp for the first message
-    history_timestamp = timezone.now().replace(year=2025, month=6, day=15, hour=10, minute=30)
-
-    # Create a conversation with pre-existing messages
-    conversation = ChatConversationFactory()
-
-    # Add previous user and assistant messages
-    conversation.messages = [
+def build__history_conversation_ui_messages(history_timestamp):
+    """Build ui messages list for fixtures."""
+    return [
         UIMessage(
             id="prev-user-msg-1",
             createdAt=history_timestamp,
@@ -120,94 +116,205 @@ def history_conversation_fixture():
         ),
     ]
 
+
+@pytest.fixture(name="history_conversation")
+def history_conversation_fixture(request):
+    """Create a conversation with existing message history according to pydantic ai version."""
+
+    # Create a timestamp for the first message
+    history_timestamp = timezone.now().replace(year=2025, month=6, day=15, hour=10, minute=30)
+
+    # Create a conversation with pre-existing messages
+    conversation = ChatConversationFactory()
+    pyai_version = getattr(request, "param", PYAI_CURRENT)
+    # Add previous user and assistant messages
+    if pyai_version == PYAI_V1_17:
+        conversation.pydantic_messages = [
+            {
+                "instructions": None,
+                "kind": "request",
+                "parts": [
+                    {
+                        "content": "You are a helpful test assistant :)",
+                        "dynamic_ref": None,
+                        "part_kind": "system-prompt",
+                        "timestamp": "2025-06-15T10:30:00.000000Z",
+                    },
+                    {
+                        "content": ["How does machine learning work?"],
+                        "part_kind": "user-prompt",
+                        "timestamp": "2025-06-15T10:30:00.000000Z",
+                    },
+                ],
+            },
+            {
+                "kind": "response",
+                "model_name": "test-model",
+                "parts": [
+                    {
+                        "content": (
+                            "Machine learning is a branch of artificial intelligence that "
+                            "focuses on building systems that learn from data."
+                        ),
+                        "part_kind": "text",
+                    }
+                ],
+                "timestamp": "2025-06-15T10:31:00.000000Z",
+                "usage": {
+                    "details": None,
+                    "request_tokens": 10,
+                    "requests": 1,
+                    "response_tokens": 20,
+                    "total_tokens": 30,
+                },
+                "vendor_details": None,
+                "vendor_id": None,
+            },
+            {
+                "instructions": None,
+                "kind": "request",
+                "parts": [
+                    {
+                        "content": ["What are neural networks?"],
+                        "part_kind": "user-prompt",
+                        "timestamp": "2025-06-15T10:32:00.000000Z",
+                    },
+                ],
+            },
+            {
+                "kind": "response",
+                "model_name": "test-model",
+                "parts": [
+                    {
+                        "content": (
+                            "Neural networks are computing systems inspired by the "
+                            "biological neural networks in animal brains."
+                        ),
+                        "part_kind": "text",
+                    }
+                ],
+                "timestamp": "2025-06-15T10:33:00.000000Z",
+                "usage": {
+                    "details": None,
+                    "request_tokens": 5,
+                    "requests": 1,
+                    "response_tokens": 15,
+                    "total_tokens": 20,
+                },
+                "vendor_details": None,
+                "vendor_id": None,
+            },
+        ]
+    else:
+        conversation.pydantic_messages = [
+            {
+                "instructions": None,
+                "kind": "request",
+                "parts": [
+                    {
+                        "content": "You are a helpful test assistant :)",
+                        "dynamic_ref": None,
+                        "part_kind": "system-prompt",
+                        "timestamp": "2025-06-15T10:30:00.000000Z",
+                    },
+                    {
+                        "content": ["How does machine learning work?"],
+                        "part_kind": "user-prompt",
+                        "timestamp": "2025-06-15T10:30:00.000000Z",
+                    },
+                ],
+            },
+            {
+                "kind": "response",
+                "model_name": "test-model",
+                "parts": [
+                    {
+                        "content": (
+                            "Machine learning is a branch of artificial intelligence that "
+                            "focuses on building systems that learn from data."
+                        ),
+                        "part_kind": "text",
+                        "provider_details": {
+                            "finish_reason": "stop",
+                            "timestamp": "2025-07-25T10:36:35.297675Z",
+                        },
+                        "provider_name": "some model",
+                    }
+                ],
+                "timestamp": "2025-06-15T10:31:00.000000Z",
+                "usage": {
+                    "details": None,
+                    "request_tokens": 10,
+                    "requests": 1,
+                    "response_tokens": 20,
+                    "total_tokens": 30,
+                },
+                "provider_details": None,
+                "vendor_id": None,
+            },
+            {
+                "instructions": None,
+                "kind": "request",
+                "parts": [
+                    {
+                        "content": ["What are neural networks?"],
+                        "part_kind": "user-prompt",
+                        "timestamp": "2025-06-15T10:32:00.000000Z",
+                    },
+                ],
+            },
+            {
+                "kind": "response",
+                "metadata": None,
+                "model_name": "test-model",
+                "finish_reason": "stop",
+                "parts": [
+                    {
+                        "content": (
+                            "Neural networks are computing systems inspired by the "
+                            "biological neural networks in animal brains."
+                        ),
+                        "part_kind": "text",
+                        "provider_details": {
+                            "finish_reason": "stop",
+                            "timestamp": "2025-07-25T10:36:35.297675Z",
+                        },
+                        "provider_name": "test-model",
+                        "provider_url": "https://www.external-ai-service.com/",
+                    }
+                ],
+                "timestamp": "2025-06-15T10:33:00.000000Z",
+                "usage": {
+                    "details": None,
+                    "request_tokens": 5,
+                    "requests": 1,
+                    "response_tokens": 15,
+                    "total_tokens": 20,
+                },
+                "provider_details": {
+                    "timestamp": "2025-07-25T10:36:35.297675Z",
+                    "finish_reason": "stop",
+                },
+                "provider_name": "test-model",
+                "provider_response_id": "xyz",
+            },
+        ]
+
     # Set up the OpenAI message format as well
-    conversation.pydantic_messages = [
-        {
-            "instructions": None,
-            "kind": "request",
-            "parts": [
-                {
-                    "content": "You are a helpful test assistant :)",
-                    "dynamic_ref": None,
-                    "part_kind": "system-prompt",
-                    "timestamp": "2025-06-15T10:30:00.000000Z",
-                },
-                {
-                    "content": ["How does machine learning work?"],
-                    "part_kind": "user-prompt",
-                    "timestamp": "2025-06-15T10:30:00.000000Z",
-                },
-            ],
-        },
-        {
-            "kind": "response",
-            "model_name": "test-model",
-            "parts": [
-                {
-                    "content": (
-                        "Machine learning is a branch of artificial intelligence that "
-                        "focuses on building systems that learn from data."
-                    ),
-                    "part_kind": "text",
-                }
-            ],
-            "timestamp": "2025-06-15T10:31:00.000000Z",
-            "usage": {
-                "details": None,
-                "request_tokens": 10,
-                "requests": 1,
-                "response_tokens": 20,
-                "total_tokens": 30,
-            },
-            "vendor_details": None,
-            "vendor_id": None,
-        },
-        {
-            "instructions": None,
-            "kind": "request",
-            "parts": [
-                {
-                    "content": ["What are neural networks?"],
-                    "part_kind": "user-prompt",
-                    "timestamp": "2025-06-15T10:32:00.000000Z",
-                },
-            ],
-        },
-        {
-            "kind": "response",
-            "model_name": "test-model",
-            "parts": [
-                {
-                    "content": (
-                        "Neural networks are computing systems inspired by the "
-                        "biological neural networks in animal brains."
-                    ),
-                    "part_kind": "text",
-                }
-            ],
-            "timestamp": "2025-06-15T10:33:00.000000Z",
-            "usage": {
-                "details": None,
-                "request_tokens": 5,
-                "requests": 1,
-                "response_tokens": 15,
-                "total_tokens": 20,
-            },
-            "vendor_details": None,
-            "vendor_id": None,
-        },
-    ]
+    conversation.messages = build__history_conversation_ui_messages(history_timestamp)
 
     conversation.save()
     return conversation
 
 
+@pytest.mark.parametrize("history_conversation", [PYAI_CURRENT, PYAI_V1_17], indirect=True)
 @freeze_time("2025-07-25T10:36:35.297675Z")
 @respx.mock
 def test_post_conversation_data_protocol_with_history(
     api_client, mock_openai_stream, history_conversation
 ):
     """Test posting messages to a conversation with history using the 'data' protocol."""
+
     url = f"/api/v1.0/chats/{history_conversation.pk}/conversation/?protocol=data"
     data = {
         "messages": [
@@ -1028,6 +1135,7 @@ def history_conversation_with_tool_fixture():
         },
         {
             "kind": "response",
+            "metadata": None,
             "model_name": "test-model",
             "parts": [
                 {
@@ -1069,6 +1177,7 @@ def history_conversation_with_tool_fixture():
         },
         {
             "kind": "response",
+            "metadata": None,
             "model_name": "test-model",
             "parts": [
                 {
@@ -1102,6 +1211,7 @@ def history_conversation_with_tool_fixture():
         },
         {
             "kind": "response",
+            "metadata": None,
             "model_name": "test-model",
             "parts": [
                 {
@@ -1148,6 +1258,7 @@ def history_conversation_with_tool_fixture():
         },
         {
             "kind": "response",
+            "metadata": None,
             "model_name": "test-model",
             "parts": [
                 {
@@ -1384,6 +1495,7 @@ def test_post_conversation_with_existing_tool_history(
         "Today is Friday 25/07/2025.\n\n"
         "Answer in dutch.",
         "kind": "request",
+        "metadata": None,
         "parts": [
             {
                 "content": ["How about Paris weather?"],
@@ -1392,24 +1504,32 @@ def test_post_conversation_with_existing_tool_history(
             }
         ],
         "run_id": _run_id,
+        "timestamp": "2025-07-25T10:36:35.297675Z",
     }
 
     assert history_conversation_with_tool.pydantic_messages[9] == {
         "finish_reason": "tool_call",
         "kind": "response",
+        "metadata": None,
         "model_name": "test-model",
         "parts": [
             {
                 "args": '{"location":"Paris", "unit":"celsius"}',
                 "id": None,
                 "part_kind": "tool-call",
+                "provider_details": None,
+                "provider_name": None,
                 "tool_call_id": "xLDcIljdsDrz0idal7tATWSMm2jhMj47",
                 "tool_name": "get_current_weather",
             }
         ],
-        "provider_details": {"finish_reason": "tool_calls"},
+        "provider_details": {
+            "finish_reason": "tool_calls",
+            "timestamp": "2025-07-25T10:36:35.297675Z",
+        },
         "provider_name": "openai",
         "provider_response_id": "chatcmpl-tool-call",
+        "provider_url": "https://www.external-ai-service.com/",
         "timestamp": "2025-07-25T10:36:35.297675Z",
         "usage": {
             "cache_audio_read_tokens": 0,
@@ -1429,6 +1549,7 @@ def test_post_conversation_with_existing_tool_history(
         "Today is Friday 25/07/2025.\n\n"
         "Answer in dutch.",
         "kind": "request",
+        "metadata": None,
         "parts": [
             {
                 "content": {"location": "Paris", "temperature": 22, "unit": "celsius"},
@@ -1440,18 +1561,30 @@ def test_post_conversation_with_existing_tool_history(
             }
         ],
         "run_id": _run_id,
+        "timestamp": "2025-07-25T10:36:35.297675Z",
     }
 
     assert history_conversation_with_tool.pydantic_messages[11] == {
         "finish_reason": "stop",
         "kind": "response",
+        "metadata": None,
         "model_name": "test-model",
         "parts": [
-            {"content": "The current weather in Paris is nice", "id": None, "part_kind": "text"}
+            {
+                "content": "The current weather in Paris is nice",
+                "id": None,
+                "part_kind": "text",
+                "provider_details": None,
+                "provider_name": None,
+            }
         ],
-        "provider_details": {"finish_reason": "stop"},
+        "provider_details": {
+            "finish_reason": "stop",
+            "timestamp": "2025-07-25T10:36:35.297675Z",
+        },
         "provider_name": "openai",
         "provider_response_id": "chatcmpl-final",
+        "provider_url": "https://www.external-ai-service.com/",
         "timestamp": "2025-07-25T10:36:35.297675Z",
         "usage": {
             "cache_audio_read_tokens": 0,

src/backend/chat/tests/views/chat/conversations/test_conversation_with_image_url.py

@@ -92,6 +92,7 @@ def test_post_conversation_with_local_image_url(
         assert presigned_url.find("X-Amz-Date=") != -1
         assert presigned_url.find("X-Amz-Expires=") != -1
         formatted_date = formats.date_format(timezone.now(), "l d/m/Y", use_l10n=False)
+
         assert messages == [
             ModelRequest(
                 parts=[
@@ -110,6 +111,7 @@ def test_post_conversation_with_local_image_url(
                 instructions="You are a helpful test assistant :)\n\nToday is "
                 f"{formatted_date}.\n\nAnswer in english.",
                 run_id=messages[0].run_id,
+                timestamp=timezone.now(),
             )
         ]
         yield "This is an image of a single pixel."
@@ -181,6 +183,7 @@ def test_post_conversation_with_local_image_url(
             "instructions": "You are a helpful test assistant :)\n\n"
             "Today is Saturday 18/10/2025.\n\nAnswer in english.",
             "kind": "request",
+            "metadata": None,
             "parts": [
                 {
                     "content": [
@@ -199,17 +202,26 @@ def test_post_conversation_with_local_image_url(
                 },
             ],
             "run_id": _run_id,
+            "timestamp": "2025-10-18T20:48:20.286204Z",
         },
         {
             "finish_reason": None,
             "kind": "response",
+            "metadata": None,
             "model_name": "function::agent_model",
             "parts": [
-                {"content": "This is an image of a single pixel.", "id": None, "part_kind": "text"}
+                {
+                    "content": "This is an image of a single pixel.",
+                    "id": None,
+                    "part_kind": "text",
+                    "provider_details": None,
+                    "provider_name": None,
+                }
             ],
             "provider_details": None,
             "provider_name": None,
             "provider_response_id": None,
+            "provider_url": None,
             "timestamp": "2025-10-18T20:48:20.286204Z",
             "usage": {
                 "cache_audio_read_tokens": 0,
@@ -229,7 +241,7 @@ def test_post_conversation_with_local_image_url(
 @freeze_time()
 def test_post_conversation_with_local_image_wrong_url(
     api_client,
-    today_promt_date,
+    today_prompt_date,
     mock_ai_agent_service,
 ):
     """
@@ -275,7 +287,8 @@ def test_post_conversation_with_local_image_wrong_url(
                         timestamp=timezone.now(),
                     ),
                 ],
-                instructions=f"You are a helpful test assistant :)\n\n{today_promt_date}"
+                timestamp=timezone.now(),
+                instructions=f"You are a helpful test assistant :)\n\n{today_prompt_date}"
                 "\n\nAnswer in english.",
                 run_id=messages[0].run_id,
             )
@@ -314,7 +327,7 @@ def test_post_conversation_with_local_image_wrong_url(
 @freeze_time()
 def test_post_conversation_with_remote_image_url(
     api_client,
-    today_promt_date,
+    today_prompt_date,
     mock_ai_agent_service,
 ):
     """
@@ -361,8 +374,9 @@ def test_post_conversation_with_remote_image_url(
                     ),
                 ],
                 instructions="You are a helpful test assistant :)\n\n"
-                f"{today_promt_date}\n\nAnswer in english.",
+                f"{today_prompt_date}\n\nAnswer in english.",
                 run_id=messages[0].run_id,
+                timestamp=timezone.now(),
             )
         ]
         yield "This is an image of a single pixel."
@@ -432,7 +446,7 @@ def test_post_conversation_with_remote_image_url(
 @freeze_time("2025-10-18T20:48:20.286204Z")
 def test_post_conversation_with_local_image_url_in_history(
     api_client,
-    today_promt_date,
+    today_prompt_date,
     mock_ai_agent_service,
 ):
     """
@@ -475,7 +489,7 @@ def test_post_conversation_with_local_image_url_in_history(
         ],
         pydantic_messages=[
             {
-                "instructions": f"You are a helpful test assistant :)\n\n{today_promt_date}"
+                "instructions": f"You are a helpful test assistant :)\n\n{today_prompt_date}"
                 "\n\nAnswer in english.",
                 "kind": "request",
                 "parts": [
@@ -547,6 +561,8 @@ def test_post_conversation_with_local_image_url_in_history(
         assert presigned_url.find("X-Amz-Date=") != -1
         assert presigned_url.find("X-Amz-Expires=") != -1
 
+        timestamp_now = timezone.now()
+
         assert messages == [
             ModelRequest(
                 parts=[
@@ -559,11 +575,11 @@ def test_post_conversation_with_local_image_url_in_history(
                                 identifier="sample.png",
                             ),
                         ],
-                        timestamp=timezone.now(),
+                        timestamp=timestamp_now,
                     ),
                 ],
                 instructions="You are a helpful test assistant :)\n\n"
-                f"{today_promt_date}\n\nAnswer in english.",
+                f"{today_prompt_date}\n\nAnswer in english.",
             ),
             ModelResponse(
                 parts=[TextPart(content="This is an image of a single pixel.")],
@@ -577,12 +593,13 @@ def test_post_conversation_with_local_image_url_in_history(
                         content=[
                             "Give more details about this image.",
                         ],
-                        timestamp=timezone.now(),
+                        timestamp=timestamp_now,
                     )
                 ],
                 run_id=messages[2].run_id,
                 instructions="You are a helpful test assistant :)\n\n"
                 "Today is Saturday 18/10/2025.\n\nAnswer in english.",
+                timestamp=timestamp_now,
             ),
         ]
         yield "This is an image of square, very small and nice."
@@ -681,7 +698,7 @@ def test_post_conversation_with_local_image_url_in_history(
     _run_id = chat_conversation.pydantic_messages[2]["run_id"]
     assert chat_conversation.pydantic_messages == [
         {
-            "instructions": f"You are a helpful test assistant :)\n\n{today_promt_date}"
+            "instructions": f"You are a helpful test assistant :)\n\n{today_prompt_date}"
             "\n\nAnswer in english.",
             "kind": "request",
             "parts": [
@@ -728,6 +745,7 @@ def test_post_conversation_with_local_image_url_in_history(
             "instructions": "You are a helpful test assistant :)\n\nToday is Saturday 18/10/2025."
             "\n\nAnswer in english.",
             "kind": "request",
+            "metadata": None,
             "parts": [
                 {
                     "content": ["Give more details about this image."],
@@ -736,21 +754,26 @@ def test_post_conversation_with_local_image_url_in_history(
                 }
             ],
             "run_id": _run_id,
+            "timestamp": "2025-10-18T20:48:20.286204Z",
         },
         {
             "finish_reason": None,
             "kind": "response",
+            "metadata": None,
             "model_name": "function::agent_model",
             "parts": [
                 {
                     "content": "This is an image of square, very small and nice.",
                     "id": None,
                     "part_kind": "text",
+                    "provider_details": None,
+                    "provider_name": None,
                 }
             ],
             "provider_details": None,
             "provider_name": None,
             "provider_response_id": None,
+            "provider_url": None,
             "timestamp": "2025-10-18T20:48:20.286204Z",
             "usage": {
                 "cache_audio_read_tokens": 0,

src/backend/chat/tools/document_search_rag.py

@@ -26,7 +26,7 @@ def add_document_rag_search_tool(agent: Agent) -> None:
 
         document_store = document_store_backend(ctx.deps.conversation.collection_id)
 
-        rag_results = document_store.search(query)
+        rag_results = document_store.search(query, session=ctx.deps.session)
 
         ctx.usage += RunUsage(
             input_tokens=rag_results.usage.prompt_tokens,

src/backend/chat/tools/document_summarize.py

@@ -4,7 +4,6 @@ import asyncio
 import logging
 
 from django.conf import settings
-from django.core.files.storage import default_storage
 
 import semchunk
 from asgiref.sync import sync_to_async
@@ -14,18 +13,11 @@ from pydantic_ai.messages import ToolReturn
 
 from chat.agents.summarize import SummarizationAgent
 from chat.tools.exceptions import ModelCannotRetry
-from chat.tools.utils import last_model_retry_soft_fail
+from chat.tools.utils import last_model_retry_soft_fail, read_document_content
 
 logger = logging.getLogger(__name__)
 
 
-@sync_to_async
-def read_document_content(doc):
-    """Read document content asynchronously."""
-    with default_storage.open(doc.key) as f:
-        return doc.file_name, f.read().decode("utf-8")
-
-
 async def summarize_chunk(idx, chunk, total_chunks, summarization_agent, ctx):
     """Summarize a single chunk of text."""
     sum_prompt = (

src/backend/chat/tools/document_translate.py

@@ -0,0 +1,136 @@
+"""Translation tool used for uploaded documents."""
+
+import logging
+
+from django.conf import settings
+
+from pydantic_ai import RunContext
+from pydantic_ai.exceptions import ModelRetry
+from pydantic_ai.messages import ToolReturn
+
+from chat.agents.translate import TranslationAgent
+from chat.tools.exceptions import ModelCannotRetry
+from chat.tools.utils import last_model_retry_soft_fail, read_document_content
+
+logger = logging.getLogger(__name__)
+
+
+@last_model_retry_soft_fail
+async def document_translate(
+    ctx: RunContext,
+    *,
+    target_language: str | None = None,
+    instructions: str | None = None,
+) -> ToolReturn:
+    """
+    Translate the full content of the last uploaded document into the specified target language.
+    Preserve the original markdown formatting unless the instructions say otherwise.
+    Return this translation directly to the user WITHOUT any modification
+    or additional summarization.
+    The translation is already complete and MUST be presented as-is in the final response.
+
+    If target_language isn't specified or unknown, the target language should be asked
+    to the user.
+
+    Instructions are optional but should reflect the user's request.
+
+    Examples:
+    "Translate this doc to English" -> target_language = "English", instructions = ""
+    "Translate to Spanish, in formal tone" -> target_language = "Spanish",
+        instructions = "Use formal tone"
+    "Traduis ce document en français" -> target_language = "French", instructions = ""
+    "Translate to German, keep technical terms in English" -> target_language = "German",
+        instructions = "Keep technical terms in English"
+    "Translate this" -> ask the user: "Which language would you like the document
+        translated into?"
+
+    Args:
+        target_language (str | None): The language to translate the document into.
+                                      If None, ask the user.
+        instructions (str | None): Optional instructions for the translation style or preferences
+    """
+    try:
+        if not target_language:
+            raise ModelCannotRetry(
+                "The target language is not specified. "
+                "You must ask the user which language they want the document translated into."
+            )
+        instructions_hint = (
+            f"Follow these instructions: {instructions.strip()}" if instructions else ""
+        )
+        translation_agent = TranslationAgent()
+
+        # Get the last uploaded text document
+        last_attachment = await (
+            ctx.deps.conversation.attachments.filter(
+                content_type__startswith="text/",
+            )
+            .order_by("-created_at")
+            .afirst()
+        )
+
+        if not last_attachment:
+            raise ModelCannotRetry(
+                "No text documents found in the conversation. "
+                "You must explain this to the user and ask them to provide documents."
+            )
+
+        doc_name, content = await read_document_content(last_attachment)
+
+        max_chars = settings.TRANSLATION_MAX_CHARS
+        if len(content) > max_chars:
+            raise ModelCannotRetry(
+                f"The document is too large to translate ({len(content):,} characters, "
+                f"limit is {max_chars:,}). "
+                "You must explain this to the user, without providing numerical details. "
+                "Suggest them to reduce the document size by summarizing it or "
+                "by splitting it into smaller parts. "
+                "Also offer them to summarize the document in the target language instead, "
+                "which can be a good alternative to translation for large documents."
+            )
+
+        logger.info(
+            "[translate] translating '%s', %s chars, target_language='%s', instructions='%s'",
+            doc_name,
+            len(content),
+            target_language,
+            instructions_hint,
+        )
+
+        # Translate the document directly
+        translate_prompt = (
+            f"You are an agent specializing in text translation. "
+            f"Translate the following document to {target_language}. "
+            f"Preserve all markdown formatting exactly as-is. "
+            f"{instructions_hint}\n\n"
+            f"'''\n{content}\n'''\n\n"
+            f"Respond directly with the translated text only, no commentary."
+        )
+
+        logger.debug("[translate] prompt for '%s'=> %s", doc_name, translate_prompt[:100] + "...")
+
+        try:
+            resp = await translation_agent.run(translate_prompt, usage=ctx.usage)
+        except Exception as exc:
+            logger.warning("Error during translation of '%s': %s", doc_name, exc, exc_info=True)
+            raise ModelRetry(f"An error occurred while translating document '{doc_name}'.") from exc
+
+        translated_text = (resp.output or "").strip()
+        if not translated_text:
+            raise ModelRetry(f"The translation of '{doc_name}' produced an empty result.")
+
+        logger.debug("[translate] final translation length: %s chars", len(translated_text))
+
+        return ToolReturn(
+            return_value=translated_text,
+            metadata={"sources": {doc_name}},
+        )
+
+    except (ModelCannotRetry, ModelRetry):
+        raise
+    except Exception as exc:
+        logger.exception("Unexpected error in document_translate: %s", exc)
+        raise ModelCannotRetry(
+            f"An unexpected error occurred during document translation: {type(exc).__name__}. "
+            "You must explain this to the user and not try to answer based on your knowledge."
+        ) from exc

src/backend/chat/tools/utils.py

@@ -4,6 +4,9 @@ import functools
 import logging
 from typing import Any, Callable
 
+from django.core.files.storage import default_storage
+
+from asgiref.sync import sync_to_async
 from pydantic_ai import ModelRetry, RunContext
 
 from chat.tools.exceptions import ModelCannotRetry
@@ -48,3 +51,10 @@ def last_model_retry_soft_fail(
             raise  # Re-raise to allow retrying
 
     return wrapper
+
+
+@sync_to_async
+def read_document_content(doc):
+    """Read document content asynchronously."""
+    with default_storage.open(doc.key) as f:
+        return doc.file_name, f.read().decode("utf-8")

src/backend/chat/tools/web_search_brave.py

@@ -127,7 +127,7 @@ async def _extract_and_summarize_snippets_async(query: str, url: str) -> List[st
         return []
 
 
-async def _fetch_and_store_async(url: str, document_store) -> None:
+async def _fetch_and_store_async(url: str, document_store, **kwargs) -> None:
     """Fetch, extract and store text content from the URL in the document store."""
 
     try:
@@ -136,7 +136,7 @@ async def _fetch_and_store_async(url: str, document_store) -> None:
         logger.debug("Fetched document: %s", document)
 
         if document:
-            await document_store.astore_document(url, document)
+            await document_store.astore_document(url, document, **kwargs)
     except DocumentFetchError as e:
         logger.warning("Failed to fetch and store %s: %s", url, e)
         # Continue with other documents
@@ -307,19 +307,26 @@ async def web_search_brave_with_document_backend(ctx: RunContext, query: str) ->
         temp_collection_name = f"tmp-{uuid.uuid4()}"
         try:
             async with document_store_backend.temporary_collection_async(
-                temp_collection_name
+                temp_collection_name, session=ctx.deps.session
             ) as document_store:
                 # Fetch and store all documents concurrently
                 tasks = [
-                    _fetch_and_store_async(result["url"], document_store)
+                    _fetch_and_store_async(
+                        result["url"],
+                        document_store,
+                        user_sub=ctx.deps.user.sub,
+                        session=ctx.deps.session,
+                    )
                     for result in raw_search_results
                 ]
                 await asyncio.gather(*tasks, return_exceptions=True)
 
                 # Perform RAG search
                 rag_results = await document_store.asearch(
-                    query,
+                    query=query,
                     results_count=settings.BRAVE_RAG_WEB_SEARCH_CHUNK_NUMBER,
+                    session=ctx.deps.session,
+                    user_sub=ctx.deps.user.sub,
                 )
                 logger.info("RAG search returned:  %s", rag_results)
 

src/backend/chat/views.py

@@ -8,11 +8,13 @@ from django.conf import settings
 from django.core.cache import cache
 from django.core.files.storage import default_storage
 from django.http import Http404, StreamingHttpResponse
+from django.utils.decorators import method_decorator
 
 import langfuse
 import magic
 import posthog
 from lasuite.malware_detection import malware_detection
+from lasuite.oidc_login.decorators import refresh_oidc_access_token
 from rest_framework import decorators, filters, mixins, permissions, status, viewsets
 from rest_framework.exceptions import MethodNotAllowed, PermissionDenied, ValidationError
 from rest_framework.response import Response
@@ -35,6 +37,19 @@ from chat.serializers import ChatConversationRequestSerializer
 logger = logging.getLogger(__name__)
 
 
+def conditional_refresh_oidc_token(func):
+    """
+    Conditionally apply refresh_oidc_access_token decorator.
+
+    The decorator is only applied if OIDC_STORE_REFRESH_TOKEN is True, meaning
+    we can actually refresh something. Broader settings checks are done in settings.py.
+    """
+    if settings.OIDC_STORE_REFRESH_TOKEN:
+        return method_decorator(refresh_oidc_access_token)(func)
+
+    return func
+
+
 class ChatConversationFilter(filters.BaseFilterBackend):
     """Filter conversation."""
 
@@ -126,6 +141,7 @@ class ChatViewSet(  # pylint: disable=too-many-ancestors, abstract-method
             self.permission_classes = []
         return super().get_permissions()
 
+    @conditional_refresh_oidc_token
     @decorators.action(
         methods=["post"],
         detail=True,
@@ -177,6 +193,7 @@ class ChatViewSet(  # pylint: disable=too-many-ancestors, abstract-method
         ai_service = AIAgentService(
             conversation=conversation,
             user=self.request.user,
+            session=request.session,
             model_hrid=model_hrid,
             language=(
                 self.request.user.language

src/backend/conftest.py

@@ -22,7 +22,7 @@ def no_http_requests(monkeypatch):
     Credits: https://blog.jerrycodes.com/no-http-requests/
     """
 
-    allowed_hosts = {"localhost", "minio", "minio:9000"}
+    allowed_hosts = {"localhost", "127.0.0.1", "minio", "minio:9000"}
     original_urlopen = HTTPConnectionPool.urlopen
 
     def urlopen_mock(self, method, url, *args, **kwargs):

src/backend/conversations/settings.py

@@ -743,6 +743,11 @@ class Base(BraveSettings, Configuration):
         environ_name="RAG_DOCUMENT_SEARCH_BACKEND",
         environ_prefix=None,
     )
+    RAG_DOCUMENT_PARSER = values.Value(
+        "chat.agent_rag.document_converter.parser.AlbertParser",
+        environ_name="RAG_DOCUMENT_PARSER",
+        environ_prefix=None,
+    )
     SPECIFIC_RAG_DOCUMENT_SEARCH_TOOLS = values.DictValue(
         default={},
         environ_name="SPECIFIC_RAG_DOCUMENT_SEARCH_TOOLS",
@@ -808,6 +813,51 @@ USER QUESTION:
         environ_prefix=None,
     )
 
+    # OCR settings for AdaptivePdfParser
+    OCR_HRID = values.Value(
+        default="etalab-plateform-mistral-medium-2508",
+        environ_name="OCR_HRID",
+        environ_prefix=None,
+    )
+    # Specific Mistral OCR model - Designates which Mistral vision model to use for OCR
+    OCR_MODEL = values.Value(
+        default="mistral-ocr-2512",
+        environ_name="OCR_MODEL",
+        environ_prefix=None,
+    )
+    OCR_TIMEOUT = values.PositiveIntegerValue(
+        default=240,
+        environ_name="OCR_TIMEOUT",
+        environ_prefix=None,
+    )
+    OCR_MAX_RETRIES = values.PositiveIntegerValue(
+        default=3,
+        environ_name="OCR_MAX_RETRIES",
+        environ_prefix=None,
+    )
+
+    OCR_RETRY_DELAY = values.PositiveIntegerValue(
+        default=5,
+        environ_name="OCR_RETRY_DELAY",
+        environ_prefix=None,
+    )
+
+    OCR_BATCH_PAGES = values.PositiveIntegerValue(
+        default=10,
+        environ_name="OCR_BATCH_PAGES",
+        environ_prefix=None,
+    )
+    MIN_AVG_CHARS_FOR_TEXT_EXTRACTION = values.PositiveIntegerValue(
+        default=200,
+        environ_name="MIN_AVG_CHARS_FOR_TEXT_EXTRACTION",
+        environ_prefix=None,
+    )
+    MIN_TEXT_COVERAGE_FOR_TEXT_EXTRACTION = values.FloatValue(
+        default=0.7,
+        environ_name="MIN_TEXT_COVERAGE_FOR_TEXT_EXTRACTION",
+        environ_prefix=None,
+    )
+
     # Summarization
     SUMMARIZATION_SYSTEM_PROMPT = values.Value(
         (
@@ -833,6 +883,13 @@ USER QUESTION:
         environ_prefix=None,
     )
 
+    # Translation
+    TRANSLATION_MAX_CHARS = values.PositiveIntegerValue(
+        default=100_000,  # ~100k characters, roughly half a 128k context window
+        environ_name="TRANSLATION_MAX_CHARS",
+        environ_prefix=None,
+    )
+
     # Tavily API
     TAVILY_API_KEY = values.Value(
         None,  # Tavily API key is not set by default
@@ -867,6 +924,23 @@ USER QUESTION:
         environ_prefix=None,
     )
 
+    # Find
+    FIND_API_KEY = values.Value(
+        None,
+        environ_name="FIND_API_KEY",
+        environ_prefix=None,
+    )
+    FIND_API_URL = values.Value(
+        "https://app-find/api",
+        environ_name="FIND_API_URL",
+        environ_prefix=None,
+    )
+    FIND_API_TIMEOUT = values.PositiveIntegerValue(
+        default=30,  # seconds
+        environ_name="FIND_API_TIMEOUT",
+        environ_prefix=None,
+    )
+
     # Logging
     # We want to make it easy to log to console but by default we log production
     # to Sentry and don't want to log to console.
@@ -1079,6 +1153,35 @@ USER QUESTION:
                 "Please set FILE_BACKEND_URL to a valid URL for backend temporary file access."
             )
 
+        # Find configuration
+        if (
+            cls.RAG_DOCUMENT_SEARCH_BACKEND
+            == "chat.agent_rag.document_rag_backends.find_rag_backend.FindRagBackend"
+            and not all(
+                (
+                    cls.FIND_API_KEY,
+                    cls.FIND_API_URL,
+                    cls.OIDC_STORE_ACCESS_TOKEN,
+                    cls.OIDC_STORE_REFRESH_TOKEN,
+                )
+            )
+        ):
+            raise ValueError(
+                f"{cls.RAG_DOCUMENT_SEARCH_BACKEND} requires FIND_API_KEY, FIND_API_URL, "
+                "OIDC_STORE_ACCESS_TOKEN and OIDC_STORE_REFRESH_TOKEN to be set."
+            )
+
+        # OCR configuration validation
+        # Note: we call load_llm_configuration directly because LLM_CONFIGURATIONS is a
+        # @property returning a lazy object, which cannot be accessed via cls in a classmethod.
+        if cls.RAG_DOCUMENT_PARSER == "chat.agent_rag.document_converter.parser.AdaptivePdfParser":
+            llm_configs = load_llm_configuration(cls._llm_configuration_file_path)
+            if cls.OCR_HRID not in llm_configs:
+                raise ValueError(
+                    f"OCR_HRID '{cls.OCR_HRID}' not found in LLM_CONFIGURATIONS. "
+                    "Please add a matching provider entry or set OCR_HRID to an existing key."
+                )
+
         # Langfuse initialization
         if cls.LANGFUSE_ENABLED:
             if not cls.LANGFUSE_MEDIA_UPLOAD_ENABLED:

src/backend/locale/de_DE/LC_MESSAGES/django.po

@@ -3,7 +3,7 @@ msgstr ""
 "Project-Id-Version: la-suite-conversations\n"
 "Report-Msgid-Bugs-To: \n"
 "POT-Creation-Date: 2025-10-20 21:48+0000\n"
-"PO-Revision-Date: 2026-01-27 15:38\n"
+"PO-Revision-Date: 2026-02-09 13:05\n"
 "Last-Translator: \n"
 "Language-Team: German\n"
 "Language: de_DE\n"

src/backend/locale/en_US/LC_MESSAGES/django.po

@@ -3,7 +3,7 @@ msgstr ""
 "Project-Id-Version: la-suite-conversations\n"
 "Report-Msgid-Bugs-To: \n"
 "POT-Creation-Date: 2025-10-20 21:48+0000\n"
-"PO-Revision-Date: 2026-01-27 15:38\n"
+"PO-Revision-Date: 2026-02-09 13:05\n"
 "Last-Translator: \n"
 "Language-Team: English\n"
 "Language: en_US\n"

src/backend/locale/fr_FR/LC_MESSAGES/django.po

@@ -3,7 +3,7 @@ msgstr ""
 "Project-Id-Version: la-suite-conversations\n"
 "Report-Msgid-Bugs-To: \n"
 "POT-Creation-Date: 2025-10-20 21:48+0000\n"
-"PO-Revision-Date: 2026-01-27 15:38\n"
+"PO-Revision-Date: 2026-02-09 13:05\n"
 "Last-Translator: \n"
 "Language-Team: French\n"
 "Language: fr_FR\n"

src/backend/locale/nl_NL/LC_MESSAGES/django.po

@@ -3,7 +3,7 @@ msgstr ""
 "Project-Id-Version: la-suite-conversations\n"
 "Report-Msgid-Bugs-To: \n"
 "POT-Creation-Date: 2025-10-20 21:48+0000\n"
-"PO-Revision-Date: 2026-01-27 15:38\n"
+"PO-Revision-Date: 2026-02-09 13:05\n"
 "Last-Translator: \n"
 "Language-Team: Dutch\n"
 "Language: nl_NL\n"

src/backend/locale/ru_RU/LC_MESSAGES/django.po

@@ -3,7 +3,7 @@ msgstr ""
 "Project-Id-Version: la-suite-conversations\n"
 "Report-Msgid-Bugs-To: \n"
 "POT-Creation-Date: 2025-10-20 21:48+0000\n"
-"PO-Revision-Date: 2026-01-27 15:38\n"
+"PO-Revision-Date: 2026-02-09 13:05\n"
 "Last-Translator: \n"
 "Language-Team: Russian\n"
 "Language: ru_RU\n"

src/backend/locale/uk_UA/LC_MESSAGES/django.po

@@ -3,7 +3,7 @@ msgstr ""
 "Project-Id-Version: la-suite-conversations\n"
 "Report-Msgid-Bugs-To: \n"
 "POT-Creation-Date: 2025-10-20 21:48+0000\n"
-"PO-Revision-Date: 2026-01-27 15:38\n"
+"PO-Revision-Date: 2026-02-09 13:05\n"
 "Last-Translator: \n"
 "Language-Team: Ukrainian\n"
 "Language: uk_UA\n"

src/backend/pyproject.toml

@@ -7,7 +7,7 @@ build-backend = "setuptools.build_meta"
 
 [project]
 name = "conversations"
-version = "0.0.12"
+version = "0.0.13"
 authors = [{ "name" = "DINUM", "email" = "dev@mail.numerique.gouv.fr" }]
 classifiers = [
     "Development Status :: 5 - Production/Stable",
@@ -39,7 +39,7 @@ dependencies = [
     "django-redis==6.0.0",
     "django-storages[s3]==1.14.6",
     "django-timezone-field>=5.1",
-    "django==5.2.9",
+    "django==5.2.11",
     "djangorestframework==3.16.1",
     "drf_spectacular==0.29.0",
     "dockerflow==2024.4.2",
@@ -56,7 +56,7 @@ dependencies = [
     "nested-multipart-parser==1.6.0",
     "posthog==7.0.0",
     "pydantic==2.12.4",
-    "pydantic-ai-slim[openai,mistral,mcp,evals,logfire]==1.17.0",
+    "pydantic-ai-slim[openai,mistral,mcp,evals,logfire]==1.56.0",
     "psycopg[binary]==3.2.12",
     "PyJWT==2.10.1",
     "python-magic==0.4.27",
@@ -67,6 +67,7 @@ dependencies = [
     "trafilatura==2.0.0",
     "uvicorn==0.38.0",
     "whitenoise==6.11.0",
+    "pypdf>=6.6.2",
 ]
 
 [project.urls]
@@ -107,6 +108,11 @@ zip-safe = true
 [tool.distutils.bdist_wheel]
 universal = true
 
+[tool.uv]
+override-dependencies = [
+    "cryptography>=46.0.5", # CVE-2026-26007
+]
+
 [tool.uv.build-backend]
 module-root = ""
 source-exclude = [
@@ -146,8 +152,8 @@ select = [
 ]
 
 [tool.ruff.lint.isort]
-section-order = ["future","standard-library","django","third-party","conversations","first-party","local-folder"]
-sections = { conversations=["core"], django=["django"] }
+section-order = ["future", "standard-library", "django", "third-party", "conversations", "first-party", "local-folder"]
+sections = { conversations = ["core"], django = ["django"] }
 extra-standard-library = ["tomllib"]
 
 [tool.ruff.lint.per-file-ignores]

src/backend/utils/oidc.py

@@ -0,0 +1,54 @@
+"""Utility functions for OIDC token management."""
+
+from functools import wraps
+
+from django.conf import settings
+
+import requests
+from lasuite.oidc_login.backends import get_oidc_refresh_token, store_tokens
+from rest_framework.exceptions import AuthenticationFailed
+
+
+def refresh_access_token(session):
+    """Refresh the OIDC access token using the refresh token."""
+    refresh_token = get_oidc_refresh_token(session)
+    if not refresh_token:
+        raise AuthenticationFailed({"error": "Refresh token is missing from session"})
+
+    response = requests.post(
+        settings.OIDC_OP_TOKEN_ENDPOINT,
+        data={
+            "grant_type": "refresh_token",
+            "client_id": settings.OIDC_RP_CLIENT_ID,
+            "client_secret": settings.OIDC_RP_CLIENT_SECRET,
+            "refresh_token": refresh_token,
+        },
+        timeout=5,
+    )
+    response.raise_for_status()
+    token_info = response.json()
+
+    store_tokens(
+        session,
+        access_token=token_info.get("access_token"),
+        id_token=None,
+        refresh_token=token_info.get("refresh_token"),
+    )
+    return session
+
+
+def with_fresh_access_token(func):
+    """
+    Decorator to handle OIDC token refresh and extraction.
+    Expects 'session' in kwargs and update it with the fresh token.
+    """
+
+    @wraps(func)
+    def wrapper(*args, **kwargs):
+        session = kwargs.pop("session", None)
+        if session is None:
+            raise AuthenticationFailed({"error": "Session is required but not provided"})
+        refreshed_session = refresh_access_token(session)
+        return func(*args, session=refreshed_session, **kwargs)
+
+    return wrapper

src/backend/uv.lock

@@ -7,6 +7,9 @@ resolution-markers = [
     "sys_platform != 'emscripten' and sys_platform != 'win32'",
 ]
 
+[manifest]
+overrides = [{ name = "cryptography", specifier = ">=46.0.5" }]
+
 [[package]]
 name = "amqp"
 version = "5.3.1"
@@ -391,7 +394,7 @@ wheels = [
 
 [[package]]
 name = "conversations"
-version = "0.0.12"
+version = "0.0.13"
 source = { editable = "." }
 dependencies = [
     { name = "beautifulsoup4" },
@@ -428,6 +431,7 @@ dependencies = [
     { name = "pydantic" },
     { name = "pydantic-ai-slim", extra = ["evals", "logfire", "mcp", "mistral", "openai"] },
     { name = "pyjwt" },
+    { name = "pypdf" },
     { name = "python-magic" },
     { name = "redis" },
     { name = "requests" },
@@ -470,7 +474,7 @@ requires-dist = [
     { name = "brotli", specifier = "==1.2.0" },
     { name = "deprecated" },
     { name = "dirty-equals", marker = "extra == 'dev'", specifier = "==0.10.0" },
-    { name = "django", specifier = "==5.2.9" },
+    { name = "django", specifier = "==5.2.11" },
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 version = "0.13.1"

src/frontend/apps/conversations/package.json

@@ -1,6 +1,6 @@
 {
   "name": "app-conversations",
-  "version": "0.0.12",
+  "version": "0.0.13",
   "private": true,
   "scripts": {
     "dev": "next dev",
@@ -16,17 +16,17 @@
     "test:watch": "jest --watch"
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     "@emoji-mart/data": "1.2.1",
     "@emoji-mart/react": "1.1.1",
     "@fontsource/material-icons": "5.2.5",
+    "@gouvfr-lasuite/cunningham-tokens": "^3.1.0",
     "@gouvfr-lasuite/integration": "1.0.3",
-    "@gouvfr-lasuite/ui-kit": "0.7.0",
-    "@openfun/cunningham-react": "3.1.0",
-    "@react-pdf/renderer": "4.3.0",
+    "@gouvfr-lasuite/ui-kit": "0.18.7",
+    "@openfun/cunningham-react": "4.0.0",
     "@sentry/nextjs": "9.26.0",
+    "@shikijs/rehype": "^3.21.0",
     "@tanstack/react-query": "5.80.5",
     "canvg": "4.0.3",
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     "i18next-browser-languagedetector": "8.1.0",
     "idb": "8.0.3",
-    "lodash": "4.17.21",
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     "lottie-react": "^2.4.1",
     "luxon": "3.6.1",
     "micromark-extension-llm-math": "3.1.1-20250610",
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     "remark-gfm": "4.0.1",
     "remark-math": "6.0.0",
-    "shiki": "^3.13.0",
+    "shiki": "^3.21.0",
     "styled-components": "6.1.18",
     "use-debounce": "10.0.4",
     "zod": "^3.25.67",

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+<path d="M25.6668 59.4725C25.567 59.4725 25.5171 59.4725 25.479 59.4531C25.4455 59.436 25.4182 59.4087 25.4012 59.3752C25.3818 59.3371 25.3818 59.2872 25.3818 59.1875V50.485C25.3818 50.3852 25.3818 50.3353 25.4012 50.2972C25.4182 50.2637 25.4455 50.2364 25.479 50.2194C25.5171 50.2 25.567 50.2 25.6668 50.2H30.5013C30.6011 50.2 30.651 50.2 30.6891 50.2194C30.7226 50.2364 30.7498 50.2637 30.7669 50.2972C30.7863 50.3353 30.7863 50.3852 30.7863 50.485V51.478C30.7863 51.5778 30.7863 51.6277 30.7669 51.6658C30.7498 51.6993 30.7226 51.7265 30.6891 51.7436C30.651 51.763 30.6011 51.763 30.5013 51.763H27.5478C27.448 51.763 27.3981 51.763 27.36 51.7825C27.3265 51.7995 27.2992 51.8268 27.2822 51.8603C27.2628 51.8984 27.2628 51.9483 27.2628 52.048V53.677C27.2628 53.7767 27.2628 53.8266 27.2822 53.8647C27.2992 53.8982 27.3265 53.9255 27.36 53.9425C27.3981 53.962 27.448 53.962 27.5478 53.962H29.9715C30.0712 53.962 30.1211 53.962 30.1592 53.9814C30.1927 53.9984 30.22 54.0257 30.237 54.0592C30.2565 54.0973 30.2565 54.1472 30.2565 54.247V55.24C30.2565 55.3398 30.2565 55.3897 30.237 55.4278C30.22 55.4613 30.1927 55.4885 30.1592 55.5056C30.1211 55.525 30.0712 55.525 29.9715 55.525H27.5478C27.448 55.525 27.3981 55.525 27.36 55.5445C27.3265 55.5615 27.2992 55.5888 27.2822 55.6223C27.2628 55.6604 27.2628 55.7103 27.2628 55.81V57.6244C27.2628 57.7242 27.2628 57.774 27.2822 57.8121C27.2992 57.8457 27.3265 57.8729 27.36 57.89C27.3981 57.9094 27.448 57.9094 27.5478 57.9094H30.5013C30.6011 57.9094 30.651 57.9094 30.6891 57.9288C30.7226 57.9459 30.7498 57.9731 30.7669 58.0067C30.7863 58.0448 30.7863 58.0946 30.7863 58.1944V59.1875C30.7863 59.2872 30.7863 59.3371 30.7669 59.3752C30.7498 59.4087 30.7226 59.436 30.6891 59.4531C30.651 59.4725 30.6011 59.4725 30.5013 59.4725H25.6668Z" fill="var(--c--globals--colors--logo-1)"/>
+<path d="M32.3649 51.9087C32.2652 51.9087 32.2153 51.9087 32.1772 51.8893C32.1437 51.8723 32.1164 51.845 32.0993 51.8115C32.0799 51.7734 32.0799 51.7235 32.0799 51.6237V50.485C32.0799 50.3852 32.0799 50.3353 32.0993 50.2972C32.1164 50.2637 32.1437 50.2364 32.1772 50.2194C32.2153 50.2 32.2652 50.2 32.3649 50.2H39.3984C39.4982 50.2 39.548 50.2 39.5861 50.2194C39.6197 50.2364 39.6469 50.2637 39.664 50.2972C39.6834 50.3353 39.6834 50.3852 39.6834 50.485V51.6237C39.6834 51.7235 39.6834 51.7734 39.664 51.8115C39.6469 51.845 39.6197 51.8723 39.5861 51.8893C39.548 51.9087 39.4982 51.9087 39.3984 51.9087H37.1072C37.0074 51.9087 36.9575 51.9087 36.9194 51.9282C36.8859 51.9452 36.8587 51.9725 36.8416 52.006C36.8222 52.0441 36.8222 52.094 36.8222 52.1937V59.1875C36.8222 59.2872 36.8222 59.3371 36.8027 59.3752C36.7857 59.4087 36.7584 59.436 36.7249 59.4531C36.6868 59.4725 36.6369 59.4725 36.5372 59.4725H35.2262C35.1264 59.4725 35.0765 59.4725 35.0384 59.4531C35.0049 59.436 34.9776 59.4087 34.9606 59.3752C34.9412 59.3371 34.9412 59.2872 34.9412 59.1875V52.1937C34.9412 52.094 34.9412 52.0441 34.9217 52.006C34.9047 51.9725 34.8774 51.9452 34.8439 51.9282C34.8058 51.9087 34.7559 51.9087 34.6562 51.9087H32.3649Z" fill="var(--c--globals--colors--logo-1)"/>
+<path d="M39.5574 59.4725C39.4188 59.4725 39.3495 59.4725 39.305 59.4434C39.2662 59.4179 39.2388 59.3783 39.2287 59.3329C39.2172 59.281 39.2418 59.2162 39.2908 59.0866L42.5854 50.384C42.6105 50.3177 42.6231 50.2845 42.6447 50.26C42.6638 50.2384 42.6879 50.2218 42.7149 50.2115C42.7454 50.2 42.7809 50.2 42.8519 50.2H44.9221C44.993 50.2 45.0285 50.2 45.0591 50.2115C45.086 50.2218 45.1101 50.2384 45.1293 50.26C45.1509 50.2845 45.1635 50.3177 45.1886 50.384L48.4831 59.0866C48.5322 59.2162 48.5567 59.281 48.5452 59.3329C48.5352 59.3783 48.5078 59.4179 48.4689 59.4434C48.4245 59.4725 48.3552 59.4725 48.2166 59.4725H46.8278C46.7561 59.4725 46.7203 59.4725 46.6896 59.4607C46.6624 59.4503 46.6382 59.4335 46.6191 59.4116C46.5975 59.3868 46.5851 59.3532 46.5603 59.2859L45.8102 57.2482C45.7854 57.1809 45.773 57.1473 45.7514 57.1225C45.7323 57.1007 45.7081 57.0838 45.6809 57.0734C45.6502 57.0616 45.6143 57.0616 45.5427 57.0616H42.2313C42.1596 57.0616 42.1238 57.0616 42.0931 57.0734C42.0659 57.0838 42.0417 57.1007 42.0226 57.1225C42.0009 57.1473 41.9885 57.1809 41.9638 57.2482L41.2136 59.2859C41.1889 59.3532 41.1765 59.3868 41.1549 59.4116C41.1357 59.4335 41.1115 59.4503 41.0844 59.4607C41.0536 59.4725 41.0178 59.4725 40.9462 59.4725H39.5574ZM42.755 55.0761C42.708 55.2048 42.6845 55.2692 42.6964 55.3206C42.7067 55.3656 42.7342 55.4049 42.7729 55.43C42.8172 55.4588 42.8857 55.4588 43.0227 55.4588H44.7512C44.8883 55.4588 44.9568 55.4588 45.0011 55.43C45.0398 55.4049 45.0672 55.3656 45.0776 55.3206C45.0894 55.2692 45.0659 55.2048 45.0189 55.0761L44.1547 52.7084C44.0722 52.4823 44.0309 52.3692 43.9705 52.3372C43.9183 52.3094 43.8557 52.3094 43.8034 52.3372C43.7431 52.3692 43.7018 52.4823 43.6193 52.7084L42.755 55.0761Z" fill="var(--c--globals--colors--logo-1)"/>
 <defs>
 <linearGradient id="paint0_linear_13360_26870" x1="32.8125" y1="46" x2="32.8125" y2="64" gradientUnits="userSpaceOnUse">
-<stop stop-color="#2845C1"/>
-<stop offset="1" stop-color="#EEF1F4"/>
+<stop stop-color="var(--c--globals--colors--logo-1)"/>
+<stop offset="1" stop-color="var(--c--contextuals--background--semantic--neutral--tertiary)"/>
 </linearGradient>
 </defs>
 </svg>

src/frontend/apps/conversations/src/components/Box.tsx

@@ -14,8 +14,10 @@ export interface BoxProps {
   as?: HTMLElementType;
   $align?: CSSProperties['alignItems'];
   $background?: CSSProperties['background'];
+  $border?: CSSProperties['border'];
   $color?: CSSProperties['color'];
   $css?: string | RuleSet<object>;
+  $cursor?: CSSProperties['cursor'];
   $direction?: CSSProperties['flexDirection'];
   $display?: CSSProperties['display'];
   $effect?: 'show' | 'hide';
@@ -37,28 +39,44 @@ export interface BoxProps {
   $shrink?: CSSProperties['flexShrink'];
   $transition?: CSSProperties['transition'];
   $width?: CSSProperties['width'];
-  $wrap?: CSSProperties['flexWrap'];
   $zIndex?: CSSProperties['zIndex'];
+  $wrap?: CSSProperties['flexWrap'];
+  // Theming props
+  $layer?: 'background' | 'content' | 'border';
+  $theme?:
+    | 'brand'
+    | 'error'
+    | 'gray'
+    | 'info'
+    | 'success'
+    | 'warning'
+    | 'neutral'
+    | 'contextual'
+    | 'disabled'
+    | (string & {});
+  $scope?: 'surface' | 'semantic' | 'palette' | (string & {});
+  $variation?: 'primary' | 'secondary' | 'tertiary' | (string & {});
+  $withThemeBG?: boolean;
+  $withThemeBorder?: boolean;
+  $withThemeInherited?: boolean;
 }
 
 export type BoxType = ComponentPropsWithRef<typeof Box>;
 
 export const Box = styled('div')<BoxProps>`
-  display: flex;
-  flex-direction: column;
   ${({ $align }) => $align && `align-items: ${$align};`}
-  ${({ $background }) => $background && `background: ${$background};`}
-  ${({ $color }) => $color && `color: ${$color};`}
-  ${({ $direction }) => $direction && `flex-direction: ${$direction};`}
-  ${({ $display }) => $display && `display: ${$display};`}
+  ${({ $cursor }) => $cursor && `cursor: ${$cursor};`}
+  ${({ $direction }) => `flex-direction: ${$direction || 'column'};`}
+  ${({ $display, as }) =>
+    `display: ${$display || (as?.match('span|input') ? 'inline-flex' : 'flex')};`}
   ${({ $flex }) => $flex && `flex: ${$flex};`}
   ${({ $gap }) => $gap && `gap: ${$gap};`}
   ${({ $height }) => $height && `height: ${$height};`}
   ${({ $hasTransition }) =>
     $hasTransition && $hasTransition === 'slow'
-      ? `transition: all 0.5s ease-in-out;`
+      ? `transition: all 0.5s var(--c--globals--transitions--ease-out);`
       : $hasTransition
-        ? `transition: all 0.3s ease-in-out;`
+        ? `transition: all var(--c--globals--transitions--duration) var(--c--globals--transitions--ease-out);`
         : ''}
   ${({ $justify }) => $justify && `justify-content: ${$justify};`}
   ${({ $margin }) => $margin && stylesMargin($margin)}
@@ -72,6 +90,86 @@ export const Box = styled('div')<BoxProps>`
   ${({ $position }) => $position && `position: ${$position};`}
   ${({ $radius }) => $radius && `border-radius: ${$radius};`}
   ${({ $shrink }) => $shrink && `flex-shrink: ${$shrink};`}
+  ${({
+    $layer = 'border',
+    $theme = 'brand',
+    $variation = 'primary',
+    $scope = 'semantic',
+    $border,
+    $withThemeBorder,
+    $withThemeInherited,
+  }) => {
+    if ($border) {
+      return `border: ${$border};`;
+    }
+
+    if (!$layer || !$scope || !$theme || !$withThemeBorder) {
+      return '';
+    }
+
+    if ($withThemeInherited) {
+      return `border: inherit;`;
+    }
+
+    return `border: 1px solid var(--c--contextuals--${$layer}--${$scope}${$theme ? `--${$theme}` : ''}${$variation ? `--${$variation}` : ''});`;
+  }}
+  ${({
+    $layer = 'background',
+    $theme = 'brand',
+    $variation = 'primary',
+    $scope = 'semantic',
+    $background,
+    $withThemeBG,
+    $withThemeInherited,
+  }) => {
+    if ($background) {
+      return `background: ${$background};`;
+    }
+
+    if (!$layer || !$scope || !$theme || !$withThemeBG) {
+      return '';
+    }
+
+    if ($withThemeInherited) {
+      return `background: inherit;`;
+    }
+
+    return `background: var(--c--contextuals--${$layer}--${$scope}${$theme ? `--${$theme}` : ''}${$variation ? `--${$variation}` : ''});`;
+  }}
+  ${({
+    $layer = 'content',
+    $theme = 'neutral',
+    $variation = 'primary',
+    $scope = 'semantic',
+    $color,
+    $withThemeBG,
+    $withThemeInherited,
+  }) => {
+    if ($color) {
+      return `color: ${$color};`;
+    }
+
+    if (!$layer || !$scope) {
+      return '';
+    }
+
+    // There is a special case when primary with background
+    if (
+      $withThemeBG &&
+      $layer === 'content' &&
+      $scope === 'semantic' &&
+      $variation === 'primary' &&
+      $theme
+    ) {
+      $variation = `on-${$theme}`;
+    }
+
+    if ($withThemeInherited) {
+      return `color: inherit;`;
+    }
+
+    return `color: var(--c--contextuals--${$layer}--${$scope}${$theme ? `--${$theme}` : ''}${$variation ? `--${$variation}` : ''});`;
+  }}
   ${({ $transition }) => $transition && `transition: ${$transition};`}
   ${({ $width }) => $width && `width: ${$width};`}
   ${({ $wrap }) => $wrap && `flex-wrap: ${$wrap};`}
@@ -91,7 +189,7 @@ export const Box = styled('div')<BoxProps>`
     return (
       effect &&
       ` 
-        transition: all 0.3s ease-in-out;
+        transition: all var(--c--globals--transitions--duration) var(--c--globals--transitions--ease-out);
         ${effect}
       `
     );

src/frontend/apps/conversations/src/components/BoxButton.tsx

@@ -39,12 +39,12 @@ const BoxButton = forwardRef<HTMLDivElement, BoxButtonType>(
           font-family: inherit;
 
           color: ${props.disabled
-            ? 'var(--c--theme--colors--greyscale-400) !important'
+            ? 'var(--c--theme--colors--gray-400) !important'
             : 'inherit'};
           ${$css || ''}
         `}
         {...props}
-        className={`--docs--box-button ${props.className || ''}`}
+        className={`--conversations--box-button ${props.className || ''}`}
         onClick={(event: React.MouseEvent<HTMLDivElement>) => {
           if (props.disabled) {
             return;

src/frontend/apps/conversations/src/components/Card.tsx

@@ -1,26 +1,13 @@
 import { PropsWithChildren } from 'react';
-import { css } from 'styled-components';
-
-import { useCunninghamTheme } from '@/cunningham';
 
 import { Box, BoxType } from '.';
 
-export const Card = ({
-  children,
-  $css,
-  ...props
-}: PropsWithChildren<BoxType>) => {
-  const { colorsTokens } = useCunninghamTheme();
-
+export const Card = ({ children, ...props }: PropsWithChildren<BoxType>) => {
   return (
     <Box
       className={`--docs--card ${props.className || ''}`}
       $background="white"
       $radius="4px"
-      $css={css`
-        border: 1px solid ${colorsTokens['greyscale-200']};
-        ${$css}
-      `}
       {...props}
     >
       {children}

src/frontend/apps/conversations/src/components/DropButton.tsx

@@ -13,11 +13,13 @@ import { useCunninghamTheme } from '@/cunningham';
 import { BoxProps } from './Box';
 
 const StyledPopover = styled(Popover)`
-  background-color: white;
-  border-radius: 4px;
-  box-shadow: 1px 1px 5px rgba(0, 0, 0, 0.1);
-  border: 1px solid #dddddd;
-  transition: opacity 0.2s ease-in-out;
+  background-color: var(--c--contextuals--background--surface--primary);
+  border-radius: var(--c--globals--spacings--st);
+  box-shadow: 0 0 6px 0 rgba(0, 0, 145, 0.1);
+  border: 1px solid var(--c--contextuals--border--surface--primary);
+  transition: opacity var(--c--globals--transitions--duration)
+    var(--c--globals--transitions--ease-out);
+  color: var(--c--contextuals--content--semantic--brand--tertiary);
 `;
 
 interface StyledButtonProps {
@@ -28,16 +30,23 @@ const StyledButton = styled(Button)<StyledButtonProps>`
   border: none;
   background: none;
   outline: none;
-  transition: background 0.2s ease-in-out;
-  font-weight: 500;
-  font-size: 0.938rem;
-  padding: 0;
-
-  &:focus-visible {
-    outline: 2px solid #3e5de7;
-    outline-offset: 2px;
+  font-weight: var(--c--components--button--font-weight);
+  font-size: var(--c--components--button--medium-font-size);
+  padding: var(--c--globals--spacings--0);
+  border-radius: var(--c--globals--spacings--st);
+  color: var(--c--contextuals--content--semantic--brand--tertiary);
+  &:hover {
+    background-color: var(
+      --c--contextuals--background--semantic--contextual--primary
+    );
+  }
+  &:focus-visible {
+    box-shadow: 0 0 0 2px var(--c--globals--colors--brand-400);
+    background-color: var(
+      --c--contextuals--background--semantic--brand--tertiary-hover
+    );
+    border-radius: var(--c--globals--spacings--st);
   }
-
   ${({ $css }) => $css};
 `;
 
@@ -47,6 +56,7 @@ export interface DropButtonProps {
   isOpen?: boolean;
   onOpenChange?: (isOpen: boolean) => void;
   label?: string;
+  testId?: string;
 }
 
 export const DropButton = ({
@@ -56,6 +66,7 @@ export const DropButton = ({
   onOpenChange,
   children,
   label,
+  testId,
 }: PropsWithChildren<DropButtonProps>) => {
   const { themeTokens } = useCunninghamTheme();
   const font = themeTokens['font']?.['families']['base'];
@@ -78,6 +89,7 @@ export const DropButton = ({
         ref={triggerRef}
         onPress={() => onOpenChangeHandler(true)}
         aria-label={label}
+        data-testid={testId}
         $css={css`
           font-family: ${font};
           ${buttonCss};

src/frontend/apps/conversations/src/components/DropdownMenu.tsx

@@ -33,7 +33,7 @@ export const DropdownMenu = ({
   label,
   topMessage,
 }: PropsWithChildren<DropdownMenuProps>) => {
-  const { spacingsTokens, colorsTokens } = useCunninghamTheme();
+  const { spacingsTokens } = useCunninghamTheme();
   const [isOpen, setIsOpen] = useState(false);
   const [buttonWidth, setButtonWidth] = useState<number | undefined>(undefined);
   const blockButtonRef = useRef<HTMLDivElement>(null);
@@ -64,14 +64,20 @@ export const DropdownMenu = ({
           <Box
             ref={blockButtonRef}
             $direction="row"
+            $theme="brand"
+            $scope="semantic"
+            $variation="neutral"
             $align="center"
             $position="relative"
             aria-controls="menu"
           >
             <Box>{children}</Box>
             <Icon
-              $variation="text"
-              $theme="primary"
+              $css={css`
+                color: var(
+                  --c--contextuals--content--semantic--brand--tertiary
+                );
+              `}
               iconName={isOpen ? 'arrow_drop_up' : 'arrow_drop_down'}
             />
           </Box>
@@ -89,7 +95,8 @@ export const DropdownMenu = ({
       >
         {topMessage && (
           <Text
-            $variation="700"
+            $theme="brand"
+            $variation="tertiary"
             $wrap="wrap"
             $size="xs"
             $weight="bold"
@@ -120,8 +127,6 @@ export const DropdownMenu = ({
               key={option.label}
               $align="center"
               $justify="space-between"
-              $background={colorsTokens['greyscale-000']}
-              $color={colorsTokens['primary-600']}
               $padding={{ vertical: 'xs', horizontal: 'base' }}
               $width="100%"
               $gap={spacingsTokens['base']}
@@ -134,23 +139,29 @@ export const DropdownMenu = ({
                 `}
                 ${index === options.length - 1 &&
                 css`
-                  border-bottom-left-radius: 4px;
-                  border-bottom-right-radius: 4px;
+                  border-bottom-left-radius: var(--c--globals--spacings--st);
+                  border-bottom-right-radius: var(--c--globals--spacings--st);
                 `}
-                font-size: var(--c--theme--font--sizes--sm);
-                color: var(--c--theme--colors--greyscale-1000);
-                font-weight: 500;
+                font-size: var(--c--globals--font--sizes--sm);
+                color: var(
+                  --c--contextuals--content--semantic--brand--tertiary
+                );
+                font-weight: var(--c--globals--font--weights--medium);
                 cursor: ${isDisabled ? 'not-allowed' : 'pointer'};
                 user-select: none;
 
-                &:hover,
-                &:focus {
-                  background-color: var(--c--theme--colors--greyscale-050);
+                &:hover {
+                  background-color: var(
+                    --c--contextuals--background--semantic--contextual--primary
+                  );
                 }
 
                 &:focus-visible {
-                  outline: 2px solid #3e5de7;
+                  outline: 2px solid var(--c--globals--colors--brand-400);
                   outline-offset: -2px;
+                  background-color: var(
+                    --c--contextuals--background--semantic--contextual--primary
+                  );
                 }
               `}
             >
@@ -162,9 +173,10 @@ export const DropdownMenu = ({
                 {option.icon && (
                   <Icon
                     $size="20px"
-                    $theme="greyscale"
-                    $variation={isDisabled ? '400' : '1000'}
+                    $theme="neutral"
+                    $variation={isDisabled ? 'tertiary' : 'primary'}
                     iconName={option.icon}
+                    aria-hidden="true"
                   />
                 )}
                 <Text $variation={isDisabled ? '400' : '1000'}>
@@ -172,7 +184,7 @@ export const DropdownMenu = ({
                 </Text>
               </Box>
               {option.isSelected && (
-                <Icon iconName="check" $size="20px" $theme="greyscale" />
+                <Icon iconName="check" $size="20px" aria-hidden="true" />
               )}
             </BoxButton>
           );

src/frontend/apps/conversations/src/components/Icon.tsx

@@ -10,12 +10,14 @@ type IconProps = TextType & {
 export const Icon = ({
   iconName,
   variant = 'outlined',
+  $theme = 'neutral',
   ...textProps
 }: IconProps) => {
   return (
     <Text
       {...textProps}
       aria-hidden="true"
+      $theme={$theme}
       className={clsx('--docs--icon-bg', textProps.className, {
         'material-symbols': variant === 'filled',
         'material-symbols-outlined': variant === 'outlined',

src/frontend/apps/conversations/src/components/InfiniteScroll.tsx

@@ -39,7 +39,7 @@ export const InfiniteScroll = ({
         {!isLoading && hasMore && (
           <Button
             onClick={() => void next()}
-            color="primary-text"
+            color="neutral"
             icon={<Icon iconName="arrow_downward" />}
           >
             {buttonLabel ?? t('Load more')}

src/frontend/apps/conversations/src/components/Text.tsx

@@ -5,7 +5,7 @@ import { tokens } from '@/cunningham';
 
 import { Box, BoxProps } from './Box';
 
-const { sizes } = tokens.themes.default.theme.font;
+const { sizes } = tokens.themes.default.globals.font;
 type TextSizes = keyof typeof sizes;
 
 export interface TextProps extends BoxProps {
@@ -13,65 +13,28 @@ export interface TextProps extends BoxProps {
   $ellipsis?: boolean;
   $weight?: CSSProperties['fontWeight'];
   $textAlign?: CSSProperties['textAlign'];
+  $textTransform?: CSSProperties['textTransform'];
   $size?: TextSizes | (string & {});
-  $theme?:
-    | 'primary'
-    | 'primary-text'
-    | 'secondary'
-    | 'secondary-text'
-    | 'info'
-    | 'success'
-    | 'warning'
-    | 'danger'
-    | 'greyscale';
-  $variation?:
-    | 'text'
-    | '000'
-    | '050'
-    | '100'
-    | '200'
-    | '300'
-    | '400'
-    | '500'
-    | '550'
-    | '600'
-    | '650'
-    | '700'
-    | '750'
-    | '800'
-    | '850'
-    | '900'
-    | '1000';
 }
 
 export type TextType = ComponentPropsWithRef<typeof Text>;
 
 export const TextStyled = styled(Box)<TextProps>`
   ${({ $textAlign }) => $textAlign && `text-align: ${$textAlign};`}
+  ${({ $textTransform }) =>
+    $textTransform && `text-transform: ${$textTransform};`}
   ${({ $weight }) => $weight && `font-weight: ${$weight};`}
   ${({ $size }) =>
     $size &&
     `font-size: ${$size in sizes ? sizes[$size as TextSizes] : $size};`}
-  ${({ $theme, $variation }) =>
-    `color: var(--c--theme--colors--${$theme}-${$variation});`}
-  ${({ $color }) => $color && `color: ${$color};`}
   ${({ $ellipsis }) =>
     $ellipsis &&
     `white-space: nowrap; overflow: hidden; text-overflow: ellipsis;`}
 `;
 
 const Text = forwardRef<HTMLElement, ComponentPropsWithRef<typeof TextStyled>>(
-  ({ className, ...props }, ref) => {
-    return (
-      <TextStyled
-        ref={ref}
-        as="span"
-        $theme="greyscale"
-        $variation="text"
-        className={className}
-        {...props}
-      />
-    );
+  (props, ref) => {
+    return <TextStyled ref={ref} as="span" {...props} />;
   },
 );
 

src/frontend/apps/conversations/src/components/TextErrors.tsx

@@ -7,7 +7,7 @@ import { Box, Text, TextType } from '@/components';
 
 const AlertStyled = styled(Alert)`
   & .c__button--tertiary:hover {
-    background-color: var(--c--theme--colors--greyscale-200);
+    background-color: var(--c--theme--colors--gray-200);
   }
 `;
 

src/frontend/apps/conversations/src/components/ToggleSwitch.tsx

@@ -0,0 +1,71 @@
+import { Box } from './Box';
+import { Icon } from './Icon';
+
+interface ToggleSwitchProps {
+  checked: boolean;
+  onChange: () => void;
+  disabled?: boolean;
+  'aria-label'?: string;
+}
+
+export const ToggleSwitch = ({
+  checked,
+  onChange,
+  disabled = false,
+  'aria-label': ariaLabel,
+}: ToggleSwitchProps) => {
+  return (
+    <Box $css="padding-top: 2px;">
+      <Box
+        $css={`
+          position: relative;
+          width: 44px;
+          height: 24px;
+          background-color: ${checked ? 'var(--c--contextuals--content--semantic--brand--tertiary)' : 'var(--c--contextuals--content--semantic--neutral--tertiary)'};
+          border-radius: 12px;
+          cursor: ${disabled ? 'not-allowed' : 'pointer'};
+          transition: all 0.2s ease;
+          opacity: ${disabled ? 0.6 : 1};
+        `}
+        onClick={disabled ? undefined : onChange}
+        onKeyDown={(e) => {
+          if (e.key === 'Enter' || e.key === ' ') {
+            e.preventDefault();
+            if (!disabled) {
+              onChange();
+            }
+          }
+        }}
+        role="switch"
+        aria-checked={checked}
+        aria-label={ariaLabel}
+        aria-disabled={disabled}
+        tabIndex={disabled ? -1 : 0}
+      >
+        <Box
+          $css={`
+            position: absolute;
+            top: 2px;
+            left: ${checked ? '22px' : '2px'};
+            width: 20px;
+            height: 20px;
+            background-color: white;
+            border-radius: 50%;
+            transition: left 0.2s ease;
+            box-shadow: 0 1px 3px rgba(0, 0, 0, 0.1);
+            display: flex;
+            align-items: center;
+            justify-content: center;
+          `}
+        >
+          <Icon
+            iconName={checked ? 'check' : ''}
+            $size="12px"
+            $theme="brand"
+            $variation="tertiary"
+          />
+        </Box>
+      </Box>
+    </Box>
+  );
+};

src/frontend/apps/conversations/src/components/index.ts

@@ -12,5 +12,6 @@ export * from './SideModal';
 export * from './separators';
 export * from './Text';
 export * from './TextErrors';
+export * from './ToggleSwitch';
 export * from './CustomToast';
 export * from './ToastProvider';

src/frontend/apps/conversations/src/components/quick-search/QuickSearch.tsx

@@ -64,9 +64,8 @@ export const QuickSearch = ({
                 bottom: -20px;
                 background: linear-gradient(
                   to bottom,
-                  #F7F8FA 0%,
-                  rgba(247, 248, 250, 0.7) 40%,
-                  rgba(255, 255, 255, 0) 100%
+                  rgba(var(--c--contextuals--background--surface--tertiary), 1),
+                  rgba(var(--c--contextuals--background--surface--tertiary), 0)
                 );
               }
               ${
@@ -74,17 +73,16 @@ export const QuickSearch = ({
                   ? `
                 &:before {
                   content: "";
-                  background-color: #F7F8FA;
+                  background-color: var(--c--contextuals--background--surface--tertiary);
                   position: absolute;
                   width: 100%;
                   height: 20px;
                   top: -8px;
                 }
-                background-color: #F7F8FA;
               `
-                  : 'background-color: #FFF;'
+                  : ''
               }
-              }`}
+            `}
           >
             <QuickSearchInput
               withSeparator={hasChildrens(children)}

src/frontend/apps/conversations/src/components/quick-search/QuickSearchInput.tsx

@@ -77,34 +77,38 @@ export const QuickSearchInput = ({
           justify-content: space-between;
           border-radius: 4px;
           margin: 12px 12px 0 12px;
-          border: 1px solid #CFD5DE;
-          background-color: #eff1f5;
+          border: 1px solid var(--c--contextuals--border--semantic--neutral--tertiary);
+          background-color: var(--c--contextuals--background--semantic--neutral--tertiary);
           padding: 6px 8px;
           cursor: pointer !important;
           transition: border-color 0.2s ease;
           &:hover {
-            border: 2px solid #CFD5DE;
+            border: 2px solid var(--c--contextuals--border--semantic--neutral--tertiary);
             padding: 5px 7px;
           }
           &:focus-within {
-            border: 2px solid #3E5DE7;
+            border: 2px solid var(--c--contextuals--border--semantic--brand--primary);
             padding: 5px 7px;
           }
           & input {
             font-family: 'Marianne' !important;
             border: none;
             font-size: 0.9rem;
+            color: var(--c--contextuals--content--semantic--neutral--primary);
             font-weight: 400;
             background-color: transparent;
             &:focus {
               border: none;
               outline: none;
             }
+            &::placeholder {
+              color: var(--c--contextuals--content--semantic--neutral--tertiary);
+            }
           }
         `}
       >
         <Box $direction="row" $gap="6px">
-          <Icon iconName="search" $variation="600" />
+          <Icon iconName="search" $theme="neutral" $variation="tertiary" />
           <Command.Input
             aria-label={t('Quick search input')}
             value={localValue}
@@ -132,10 +136,10 @@ export const QuickSearchInput = ({
               padding: 7px;
               z-index: 1000;
               &:hover {
-                background-color: #e4e6ea;
+                background-color: var(--c--contextuals--background--semantic--neutral--secondary);
               }
               &:focus-visible {
-                outline: 2px solid #3E5DE7;
+                outline: 2px solid var(--c--contextuals--border--semantic--brand--primary);
                 outline-offset: 2px;
               }`}
         >

src/frontend/apps/conversations/src/components/quick-search/QuickSearchStyle.tsx

@@ -15,10 +15,9 @@ export const QuickSearchStyle = createGlobalStyle`
 
   [cmdk-input] {
     border: none;
-
-    &::placeholder {
+    input::placeholder {
       font-size: 14px;
-      color: #626A80;
+      color: var(--c--contextuals--content--semantic--neutral--tertiary) !important;
     }
   }
 
@@ -41,14 +40,14 @@ export const QuickSearchStyle = createGlobalStyle`
 
     &:hover,
     &[data-selected='true'] {
-      background: var(--c--theme--colors--greyscale-100);
+      background: var(--c--theme--colors--gray-100);
       .show-right-on-focus {
         opacity: 1;
       }
     }
 
     &[data-disabled='true'] {
-      color: var(--c--theme--colors--greyscale-500);
+      color: var(--c--theme--colors--gray-500);
       cursor: not-allowed;
     }
 
@@ -79,7 +78,7 @@ export const QuickSearchStyle = createGlobalStyle`
       height: 20px;
       border-radius: 4px;
       color: white;
-      background: var(--c--theme--colors--greyscale-500);
+      background: var(--c--contextuals--content--semantic--neutral--tertiary);
       display: inline-flex;
       align-items: center;
       justify-content: center;
@@ -102,7 +101,7 @@ export const QuickSearchStyle = createGlobalStyle`
     padding: 0 var(--c--theme--spacings--xs);
     user-select: none;
     font-size: 12px;
-    color: var(--c--theme--colors--greyscale-700);
+    color: var(--c--theme--colors--gray-700);
     font-weight: 700;;
     margin-bottom: var(--c--theme--spacings--xs);
   }

src/frontend/apps/conversations/src/components/separators/HorizontalSeparator.tsx

@@ -26,7 +26,7 @@ export const HorizontalSeparator = ({
       $background={
         variant === SeparatorVariant.DARK
           ? '#e5e5e533'
-          : colorsTokens['greyscale-100']
+          : colorsTokens['gray-100']
       }
       className="--docs--horizontal-separator"
     />

src/frontend/apps/conversations/src/components/separators/SeparatedSection.tsx

@@ -13,7 +13,7 @@ export const SeparatedSection = ({
   showSeparator = true,
   children,
 }: PropsWithChildren<Props>) => {
-  const { colorsTokens, spacingsTokens } = useCunninghamTheme();
+  const { spacingsTokens } = useCunninghamTheme();
   return (
     <Box
       $css={css`
@@ -21,7 +21,8 @@ export const SeparatedSection = ({
         padding: ${spacingsTokens['sm']} 0;
         ${showSeparator &&
         css`
-          border-bottom: 1px solid ${colorsTokens['greyscale-100']};
+          border-bottom: 1px solid
+            var(--c--contextuals--border--surface--primary);
         `}
       `}
     >

src/frontend/apps/conversations/src/cunningham/__tests__/useCunninghamTheme.spec.tsx

@@ -1,16 +1,20 @@
 import { useCunninghamTheme } from '../useCunninghamTheme';
 
 describe('<useCunninghamTheme />', () => {
-  it('has the logo correctly set', () => {
-    expect(useCunninghamTheme.getState().themeTokens.logo?.src).toBe('');
+  it('has the favicon correctly set', () => {
+    const favicon1 = (
+      useCunninghamTheme.getState().componentTokens as Record<string, unknown>
+    ).favicon as { 'png-light': string; 'png-dark': string } | undefined;
+    expect(favicon1?.['png-light']).toBe('/assets/favicon-light.png');
 
     // Change theme
     useCunninghamTheme.getState().setTheme('dsfr');
 
-    const { themeTokens } = useCunninghamTheme.getState();
-    const logo = themeTokens.logo;
-    expect(logo?.src).toBe('/assets/logo-gouv.svg');
-    expect(logo?.widthHeader).toBe('110px');
-    expect(logo?.widthFooter).toBe('220px');
+    const { componentTokens } = useCunninghamTheme.getState();
+    const favicon = (componentTokens as Record<string, unknown>).favicon as
+      | { 'png-light': string; 'png-dark': string }
+      | undefined;
+    expect(favicon?.['png-light']).toBe('/assets/favicon-light.png');
+    expect(favicon?.['png-dark']).toBe('/assets/favicon-dark.png');
   });
 });

src/frontend/apps/conversations/src/cunningham/cunningham-style.css

@@ -1,4 +1,5 @@
 @import url('@gouvfr-lasuite/ui-kit/style');
+@import url('@gouvfr-lasuite/ui-kit/fonts/Marianne');
 @import url('./cunningham-tokens.css');
 
 :root {
@@ -26,7 +27,7 @@
   * Select
   **/
   --c--components--forms-select--value-color--disabled: var(
-    --c--theme--colors--greyscale-400
+    --c--globals--colors--gray-400
   );
 
   /**
@@ -41,7 +42,7 @@
  * Tooltip
 */
 .c__tooltip {
-  padding: 4px 6px;
+  padding: var(--c--globals--font--sizes--sm) var(--c--globals--spacings--xxs);
 }
 
 /**

src/frontend/apps/conversations/src/cunningham/useCunninghamTheme.tsx

@@ -1,61 +1,163 @@
 import merge from 'lodash/merge';
 import { create } from 'zustand';
+import { persist } from 'zustand/middleware';
+
+import { useChatPreferencesStore } from '@/features/chat/stores/useChatPreferencesStore';
+import { safeLocalStorage } from '@/utils/storages';
 
 import { tokens } from './cunningham-tokens';
 
 type Tokens = typeof tokens.themes.default &
   Partial<(typeof tokens.themes)[keyof typeof tokens.themes]>;
-type ColorsTokens = Tokens['theme']['colors'];
-type FontSizesTokens = Tokens['theme']['font']['sizes'];
-type SpacingsTokens = Tokens['theme']['spacings'];
-type ComponentTokens = Tokens['components'] & {
-  alpha?: boolean;
-  beta?: boolean;
-};
+type ColorsTokens = Tokens['globals']['colors'];
+type FontSizesTokens = Tokens['globals']['font']['sizes'];
+type SpacingsTokens = Tokens['globals']['spacings'];
+type ComponentTokens = Partial<
+  | (Tokens['components'] & Tokens['globals']['components'])
+  | Record<string, unknown>
+> &
+  Record<string, unknown>;
+type ContextualTokens = Tokens['contextuals'];
 export type Theme = keyof typeof tokens.themes;
 
 interface ThemeStore {
   colorsTokens: Partial<ColorsTokens>;
   componentTokens: ComponentTokens;
+  contextualTokens: ContextualTokens;
   currentTokens: Partial<Tokens>;
   fontSizesTokens: Partial<FontSizesTokens>;
   setTheme: (theme: Theme) => void;
   spacingsTokens: Partial<SpacingsTokens>;
   theme: Theme;
-  themeTokens: Partial<Tokens['theme']>;
+  baseTheme: Theme; // 'default' or 'dsfr' (not persisted)
+  themeTokens: Partial<Tokens['globals']>;
+  isDarkMode: boolean;
+  toggleDarkMode: () => void;
 }
 
 const getMergedTokens = (theme: Theme) => {
   return merge({}, tokens.themes['default'], tokens.themes[theme]);
 };
 
-const DEFAULT_THEME: Theme = 'generic';
-const defaultTokens = getMergedTokens(DEFAULT_THEME);
-
-const initialState: ThemeStore = {
-  colorsTokens: defaultTokens.theme.colors,
-  componentTokens: defaultTokens.components,
-  currentTokens: tokens.themes[DEFAULT_THEME] as Partial<Tokens>,
-  fontSizesTokens: defaultTokens.theme.font.sizes,
-  setTheme: () => {},
-  spacingsTokens: defaultTokens.theme.spacings,
-  theme: DEFAULT_THEME,
-  themeTokens: defaultTokens.theme,
+const getComponentTokens = (
+  mergedTokens: ReturnType<typeof getMergedTokens>,
+) => {
+  // Merge components from root level (favicon, etc.) and globals.components (logo, etc.)
+  return merge(
+    {},
+    mergedTokens.components || {},
+    mergedTokens.globals?.components || {},
+  );
 };
 
-export const useCunninghamTheme = create<ThemeStore>((set) => ({
-  ...initialState,
-  setTheme: (theme: Theme) => {
-    const newTokens = getMergedTokens(theme);
+const DEFAULT_THEME: Theme = 'default';
+const defaultTokens = getMergedTokens(DEFAULT_THEME);
 
-    set({
-      colorsTokens: newTokens.theme.colors,
-      componentTokens: newTokens.components,
-      currentTokens: tokens.themes[theme] as Partial<Tokens>,
-      fontSizesTokens: newTokens.theme.font.sizes,
-      spacingsTokens: newTokens.theme.spacings,
-      theme,
-      themeTokens: newTokens.theme,
-    });
-  },
-}));
+// Helper to get isDarkMode from useChatPreferencesStore
+const getIsDarkModeFromPreferences = (): boolean => {
+  try {
+    return useChatPreferencesStore.getState().isDarkModePreference ?? false;
+  } catch {
+    return false;
+  }
+};
+
+const initialState: ThemeStore = {
+  colorsTokens: defaultTokens.globals.colors,
+  componentTokens: getComponentTokens(defaultTokens),
+  contextualTokens: defaultTokens.contextuals,
+  currentTokens: tokens.themes[DEFAULT_THEME] as Partial<Tokens>,
+  fontSizesTokens: defaultTokens.globals.font.sizes,
+  setTheme: () => {},
+  spacingsTokens: defaultTokens.globals.spacings,
+  theme: DEFAULT_THEME,
+  baseTheme: DEFAULT_THEME,
+  themeTokens: defaultTokens.globals,
+  isDarkMode: getIsDarkModeFromPreferences(),
+  toggleDarkMode: () => {},
+};
+
+export const useCunninghamTheme = create<ThemeStore>()(
+  persist(
+    (set) => ({
+      ...initialState,
+      setTheme: (theme: Theme) => {
+        // Extract base theme (default or dsfr)
+        const baseTheme: Theme =
+          theme === 'dark' || theme === 'dsfr-dark'
+            ? theme === 'dark'
+              ? 'default'
+              : 'dsfr'
+            : theme;
+
+        const isDarkMode =
+          getIsDarkModeFromPreferences() ??
+          (theme === 'dark' || theme === 'dsfr-dark');
+
+        // Apply dark mode based on stored preference or theme
+        const finalTheme: Theme = isDarkMode
+          ? baseTheme === 'dsfr'
+            ? 'dsfr-dark'
+            : 'dark'
+          : baseTheme;
+
+        const newTokens = getMergedTokens(finalTheme);
+
+        set({
+          colorsTokens: newTokens.globals.colors,
+          componentTokens: getComponentTokens(newTokens),
+          contextualTokens: newTokens.contextuals,
+          currentTokens: tokens.themes[finalTheme] as Partial<Tokens>,
+          fontSizesTokens: newTokens.globals.font.sizes,
+          spacingsTokens: newTokens.globals.spacings,
+          theme: finalTheme,
+          baseTheme,
+          themeTokens: newTokens.globals,
+          isDarkMode,
+        });
+      },
+      toggleDarkMode: () => {
+        useChatPreferencesStore.getState().toggleDarkModePreferences();
+
+        set((state) => {
+          const newIsDarkMode = getIsDarkModeFromPreferences();
+          const newTheme: Theme = newIsDarkMode
+            ? state.baseTheme === 'dsfr'
+              ? 'dsfr-dark'
+              : 'dark'
+            : state.baseTheme;
+
+          const newTokens = getMergedTokens(newTheme);
+
+          return {
+            colorsTokens: newTokens.globals.colors,
+            componentTokens: getComponentTokens(newTokens),
+            contextualTokens: newTokens.contextuals,
+            currentTokens: tokens.themes[newTheme] as Partial<Tokens>,
+            fontSizesTokens: newTokens.globals.font.sizes,
+            spacingsTokens: newTokens.globals.spacings,
+            theme: newTheme,
+            baseTheme: state.baseTheme,
+            themeTokens: newTokens.globals,
+            isDarkMode: newIsDarkMode,
+          };
+        });
+      },
+    }),
+    {
+      name: 'cunningham-theme',
+      // eslint-disable-next-line @typescript-eslint/no-explicit-any, @typescript-eslint/no-unsafe-assignment
+      storage: safeLocalStorage as any,
+      partialize: (state) => ({ isDarkMode: state.isDarkMode }),
+      onRehydrateStorage: () => (state, error) => {
+        if (error) {
+          console.error('[useCunninghamTheme] Rehydration error:', error);
+          return;
+        }
+        if (state) {
+          state.isDarkMode = getIsDarkModeFromPreferences();
+        }
+      },
+    },
+  ),
+);

src/frontend/apps/conversations/src/features/auth/components/ActivationPage.tsx

@@ -232,13 +232,21 @@ export const ActivationPage = () => {
                           width: 100%;
                           height: 40px;
                           padding: 6px 8px;
-                          border: 1px solid ${error ? 'var(--c--theme--colors--danger-600)' : 'var(--c--theme--colors--greyscale-150)'};
+                          border: 1px solid ${
+                            error
+                              ? 'var(--c--contextuals--border--semantic--error--primary)'
+                              : 'var(--c--contextuals--border--semantic--neutral--tertiary)'
+                          };
                           border-radius: 4px;
-                          fontSize: 14px;
+                          font-size: 14px;
                           outline: none;
-                          
+
                           &:focus {
-                            border: 1px solid ${error ? 'var(--c--theme--colors--danger-600)' : 'var(--c--theme--colors--greyscale-150)'};
+                            border: 1px solid ${
+                              error
+                                ? 'var(--c--contextuals--border--semantic--error--primary)'
+                                : 'var(--c--contextuals--border--semantic--neutral--tertiary)'
+                            };
                             box-shadow: none;
                           }
                         }
@@ -258,8 +266,8 @@ export const ActivationPage = () => {
                     {error && (
                       <Text
                         $size="xs"
-                        $theme="danger"
-                        $variation="600"
+                        $theme="error"
+                        $variation="tertiary"
                         $margin={{ top: '4px' }}
                       >
                         {error}
@@ -270,7 +278,7 @@ export const ActivationPage = () => {
                   <Button
                     type="submit"
                     fullWidth={isDesktop ? false : true}
-                    color="primary"
+                    color="brand"
                     icon={<IconKey />}
                     disabled={isSubmitting || !code.trim()}
                     style={{
@@ -360,14 +368,15 @@ export const ActivationPage = () => {
             <Box $direction="column" $gap="1rem" $justify="flex-end">
               <Button
                 fullWidth
-                color="primary"
+                color="brand"
                 onClick={handleNotificationRegister}
               >
                 {t('Notify me')}
               </Button>
               <Button
                 fullWidth
-                color="tertiary"
+                color="neutral"
+                variant="bordered"
                 onClick={() => {
                   setIsNotifyModalOpen(false);
                 }}
@@ -442,8 +451,8 @@ export const ActivationPage = () => {
                     <Text
                       $size="xs"
                       $weight="700"
-                      $theme="primary"
-                      $variation="650"
+                      $theme="brand"
+                      $variation="primary"
                       $align="center"
                     >
                       {app.name}

src/frontend/apps/conversations/src/features/auth/components/ButtonLogin.tsx

@@ -18,7 +18,8 @@ export const ButtonLogin = () => {
     return (
       <Button
         onClick={() => gotoLogin()}
-        color="primary-text"
+        color="brand"
+        variant="tertiary"
         aria-label={t('Login')}
         className="--docs--button-login"
       >
@@ -30,7 +31,8 @@ export const ButtonLogin = () => {
   return (
     <Button
       onClick={gotoLogout}
-      color="primary-text"
+      color="brand"
+      variant="tertiary"
       icon={!isDesktop ? <Icon iconName="logout" $theme="primary" /> : ''}
       aria-label={t('Logout')}
       className="--docs--button-logout"

src/frontend/apps/conversations/src/features/chat/components/AttachmentList.tsx

@@ -1,5 +1,5 @@
+import { Button } from '@openfun/cunningham-react';
 import { useTranslation } from 'react-i18next';
-import { css } from 'styled-components';
 
 import { Box, Icon, Text } from '@/components';
 
@@ -54,7 +54,7 @@ export const AttachmentList = ({
             $align={isReadOnly ? 'left' : 'center'}
           >
             <Box
-              $background="var(--c--theme--colors--greyscale-050)"
+              $background="var(--c--contextuals--background--semantic--neutral--tertiary)"
               $width="200px"
               $direction="row"
               $gap="8px"
@@ -66,7 +66,7 @@ export const AttachmentList = ({
             >
               {/* Extension du fichier */}
               <Box
-                $background="var(--c--theme--colors--greyscale-200)"
+                $background="var(--c--contextuals--background--palette--gray--primary)"
                 $width="22px"
                 $height="22px"
                 $direction="row"
@@ -74,11 +74,11 @@ export const AttachmentList = ({
                 $justify="center"
                 $css={`
                   flex-shrink: 0;
-                  border-radius: 4px;
+                  border-radius: 8px;
                 `}
               >
                 <Text
-                  $color="var(--c--theme--colors--greyscale-700)"
+                  $color="var(--c--contextuals--content--semantic--overlay--primary)"
                   $weight="500"
                   $css={`
                     font-size: 7px;
@@ -90,7 +90,7 @@ export const AttachmentList = ({
               <Text
                 $size="xs"
                 $variation="500"
-                $color="var(--c--theme--colors--greyscale-850)"
+                $color="var(--c--contextuals--content--semantic--neutral--primary)"
                 $css={`
                   overflow: hidden;
                   text-overflow: ellipsis;
@@ -105,8 +105,11 @@ export const AttachmentList = ({
                 {name}
               </Text>
               {!isReadOnly && onRemove && (
-                <Box
-                  role="button"
+                <Button
+                  color="neutral"
+                  variant="tertiary"
+                  size="small"
+                  className="c__button--without-padding"
                   tabIndex={0}
                   aria-label={t('Remove attachment')}
                   onClick={removeAttachment}
@@ -116,22 +119,9 @@ export const AttachmentList = ({
                       removeAttachment();
                     }
                   }}
-                  $css={css`
-                    display: block;
-                    padding: 4px;
-                    border-radius: 4px;
-                    cursor: pointer;
-                    &:hover {
-                      background-color: #e1e3e7 !important;
-                    }
-                    &:focus-visible {
-                      outline: 2px solid #3e5de7;
-                      outline-offset: 2px;
-                    }
-                  `}
                 >
-                  <Icon iconName="close" $theme="greyscale" $size="18px" />
-                </Box>
+                  <Icon iconName="close" $size="18px" />
+                </Button>
               )}
             </Box>
           </Box>

src/frontend/apps/conversations/src/features/chat/components/Chat.tsx

@@ -1,18 +1,13 @@
-import { Message, SourceUIPart, ToolInvocationUIPart } from '@ai-sdk/ui-utils';
+import { Message, SourceUIPart } from '@ai-sdk/ui-utils';
 import { Modal, ModalSize } from '@openfun/cunningham-react';
 import 'katex/dist/katex.min.css'; // `rehype-katex` does not import the CSS for you
 import { useRouter } from 'next/router';
-import { useCallback, useEffect, useRef, useState } from 'react';
+import { useCallback, useEffect, useMemo, useRef, useState } from 'react';
 import type { ChangeEvent, FormEvent } from 'react';
 import { useTranslation } from 'react-i18next';
-import { MarkdownHooks } from 'react-markdown';
-import rehypeKatex from 'rehype-katex';
-import rehypePrettyCode from 'rehype-pretty-code';
-import remarkGfm from 'remark-gfm';
-import remarkMath from 'remark-math';
 
 import { APIError, errorCauses, fetchAPI } from '@/api';
-import { Box, Icon, Loader, Text } from '@/components';
+import { Box, Loader, Text } from '@/components';
 import { useUploadFile } from '@/features/attachments/hooks/useUploadFile';
 import { useChat } from '@/features/chat/api/useChat';
 import { getConversation } from '@/features/chat/api/useConversation';
@@ -21,13 +16,9 @@ import {
   LLMModel,
   useLLMConfiguration,
 } from '@/features/chat/api/useLLMConfiguration';
-import { AttachmentList } from '@/features/chat/components/AttachmentList';
 import { ChatError } from '@/features/chat/components/ChatError';
-import { CodeBlock } from '@/features/chat/components/CodeBlock';
-import { FeedbackButtons } from '@/features/chat/components/FeedbackButtons';
 import { InputChat } from '@/features/chat/components/InputChat';
-import { SourceItemList } from '@/features/chat/components/SourceItemList';
-import { ToolInvocationItem } from '@/features/chat/components/ToolInvocationItem';
+import { MessageItem } from '@/features/chat/components/MessageItem';
 import { useClipboard } from '@/hook';
 import { useResponsiveStore } from '@/stores';
 
@@ -289,21 +280,21 @@ export const Chat = ({
     // eslint-disable-next-line react-hooks/exhaustive-deps
   }, [messages]);
 
-  const openSources = (messageId: string) => {
-    if (isSourceOpen === messageId) {
-      setIsSourceOpen(null);
-      return;
-    }
-    const message = messages.find((msg) => msg.id === messageId);
-    if (message?.parts) {
-      const sourceParts = message.parts.filter(
-        (part): part is SourceUIPart => part.type === 'source',
-      );
-      if (sourceParts.length > 0) {
-        setIsSourceOpen(messageId);
-      }
-    }
-  };
+  const openSources = useCallback((messageId: string) => {
+    // Source-parts guard is handled at the call site (MessageItem only shows the button when sourceParts.length > 0),
+    // so we just toggle it here.
+    setIsSourceOpen((prev) => (prev === messageId ? null : messageId));
+  }, []);
+
+  // Memoize the last assistant message index to avoid recalculating in render
+  const lastAssistantMessageIndex = useMemo(() => {
+    return messages.findLastIndex((msg) => msg.role === 'assistant');
+  }, [messages]);
+
+  // Memoize whether this is the first conversation (2 or fewer messages)
+  const isFirstConversationMessage = useMemo(() => {
+    return messages.length <= 2;
+  }, [messages.length]);
 
   // Calculer la hauteur pour le message de streaming
   const calculateStreamingHeight = useCallback(() => {
@@ -620,6 +611,7 @@ export const Chat = ({
           flex-basis: auto;
           height: 100%;
           flex-grow: 1;
+          z-index: 1;
         `}
     >
       <Box
@@ -641,320 +633,26 @@ export const Chat = ({
       >
         {messages.length > 0 && (
           <Box>
-            {messages.map((message, index) => {
-              const isLastMessage = index === messages.length - 1;
-              const isLastAssistantMessageInConversation =
-                message.role === 'assistant' &&
-                index ===
-                  messages.findLastIndex((msg) => msg.role === 'assistant');
-              const isFirstConversationMessage = messages.length <= 2;
-              const shouldApplyStreamingHeight =
-                isLastAssistantMessageInConversation &&
-                isLastMessage &&
-                streamingMessageHeight &&
-                !isFirstConversationMessage;
-              const isCurrentlyStreaming =
-                isLastAssistantMessageInConversation &&
-                (status === 'streaming' || status === 'submitted');
-
-              return (
-                <Box
-                  key={message.id}
-                  data-message-id={message.id}
-                  $css={`
-                    display: flex;
-                    width: 100%;
-                    margin: auto;
-                    margin-bottom: ${isLastAssistantMessageInConversation ? '30px' : '0px'};
-                    color: var(--c--theme--colors--greyscale-850);
-                    padding-left: 12px;
-                    padding-right: 12px;
-                    max-width: 750px;
-                    text-align: left;
-                    overflow-wrap: anywhere;
-                    flex-direction: ${message.role === 'user' ? 'row-reverse' : 'row'};
-                  `}
-                >
-                  <Box
-                    $display="block"
-                    $width={`${message.role === 'user' ? 'auto' : '100%'}`}
-                  >
-                    {message.experimental_attachments &&
-                      message.experimental_attachments.length > 0 && (
-                        <Box>
-                          <AttachmentList
-                            attachments={message.experimental_attachments}
-                            isReadOnly={true}
-                          />
-                        </Box>
-                      )}
-                    <Box
-                      $radius="8px"
-                      $width={`${message.role === 'user' ? 'auto' : '100%'}`}
-                      $maxWidth="100%"
-                      $padding={`${message.role === 'user' ? '12px' : '0'}`}
-                      $margin={{ vertical: 'base' }}
-                      $background={`${message.role === 'user' ? '#EEF1F4' : 'white'}`}
-                      $css={`
-                      display: inline-block;
-                      float: right;
-                      ${shouldApplyStreamingHeight ? `min-height: ${streamingMessageHeight}px;` : ''}`}
-                    >
-                      {/* Message content */}
-                      {message.content && (
-                        <Box
-                          className="mainContent-chat"
-                          data-testid={
-                            message.role === 'assistant'
-                              ? 'assistant-message-content'
-                              : undefined
-                          }
-                          $padding={{ all: 'xxs' }}
-                        >
-                          <p className="sr-only">
-                            {message.role === 'user'
-                              ? t('You said: ')
-                              : t('Assistant IA replied: ')}
-                          </p>
-                          {message.role === 'user' ? (
-                            <Text
-                              as="p"
-                              $css="white-space: pre-wrap; display: block;"
-                              $theme="greyscale"
-                              $variation="850"
-                            >
-                              {message.content}
-                            </Text>
-                          ) : (
-                            <MarkdownHooks
-                              remarkPlugins={[remarkGfm, remarkMath]}
-                              rehypePlugins={[
-                                [
-                                  rehypePrettyCode,
-                                  {
-                                    theme: 'github-dark-dimmed',
-                                  },
-                                ],
-                                rehypeKatex,
-                              ]}
-                              components={{
-                                // Custom components for Markdown rendering
-                                // eslint-disable-next-line @typescript-eslint/no-unused-vars
-                                p: ({ node, ...props }) => (
-                                  <Text
-                                    as="p"
-                                    $css="display: block"
-                                    $theme="greyscale"
-                                    $variation="850"
-                                    {...props}
-                                  />
-                                ),
-                                a: ({ children, ...props }) => (
-                                  <a target="_blank" {...props}>
-                                    {children}
-                                  </a>
-                                ),
-                                // eslint-disable-next-line @typescript-eslint/no-unused-vars
-                                pre: ({ node, children, ...props }) => (
-                                  <CodeBlock {...props}>{children}</CodeBlock>
-                                ),
-                              }}
-                            >
-                              {message.content}
-                            </MarkdownHooks>
-                          )}
-                        </Box>
-                      )}
-
-                      <Box $direction="column" $gap="2">
-                        {isCurrentlyStreaming &&
-                          isLastAssistantMessageInConversation &&
-                          status === 'streaming' &&
-                          message.parts?.some(
-                            (part) =>
-                              part.type === 'tool-invocation' &&
-                              part.toolInvocation.toolName !==
-                                'document_parsing',
-                          ) && (
-                            <Box
-                              $direction="row"
-                              $align="center"
-                              $gap="6px"
-                              $width="100%"
-                              $maxWidth="750px"
-                              $margin={{
-                                all: 'auto',
-                                top: 'base',
-                                bottom: 'md',
-                              }}
-                            >
-                              <Loader />
-                              <Text $variation="600" $size="md">
-                                {(() => {
-                                  const toolInvocation = message.parts?.find(
-                                    (part) =>
-                                      part.type === 'tool-invocation' &&
-                                      part.toolInvocation.toolName !==
-                                        'document_parsing',
-                                  );
-                                  if (
-                                    toolInvocation?.type ===
-                                      'tool-invocation' &&
-                                    toolInvocation.toolInvocation.toolName ===
-                                      'summarize'
-                                  ) {
-                                    return t('Summarizing...');
-                                  }
-                                  return t('Search...');
-                                })()}
-                              </Text>
-                            </Box>
-                          )}
-                        {message.parts
-                          ?.filter((part) => part.type === 'tool-invocation')
-                          .map(
-                            (part: ToolInvocationUIPart, partIndex: number) =>
-                              part.type === 'tool-invocation' &&
-                              isCurrentlyStreaming &&
-                              isLastAssistantMessageInConversation ? (
-                                <ToolInvocationItem
-                                  key={`tool-invocation-${partIndex}`}
-                                  toolInvocation={part.toolInvocation}
-                                  status={status}
-                                  hideSearchLoader={true}
-                                />
-                              ) : null,
-                          )}
-                      </Box>
-                      {message.role === 'assistant' &&
-                        !(
-                          isLastAssistantMessageInConversation &&
-                          status === 'streaming'
-                        ) && (
-                          <Box
-                            $css="color: #222631; font-size: 12px;"
-                            $direction="row"
-                            $align="center"
-                            $justify="space-between"
-                            $gap="6px"
-                            $margin={{ top: 'base' }}
-                          >
-                            <Box $direction="row" $gap="4px">
-                              <Box
-                                $direction="row"
-                                $align="center"
-                                $gap="4px"
-                                className="c__button--neutral action-chat-button"
-                                onClick={() => copyToClipboard(message.content)}
-                                onKeyDown={(e) => {
-                                  if (e.key === 'Enter' || e.key === ' ') {
-                                    e.preventDefault();
-                                    copyToClipboard(message.content);
-                                  }
-                                }}
-                                role="button"
-                                tabIndex={0}
-                              >
-                                <Icon
-                                  iconName="content_copy"
-                                  $theme="greyscale"
-                                  $variation="550"
-                                  $size="16px"
-                                  className="action-chat-button-icon"
-                                />
-                                {!isMobile && (
-                                  <Text $theme="greyscale" $variation="550">
-                                    {t('Copy')}
-                                  </Text>
-                                )}
-                              </Box>
-                              {message.parts?.some(
-                                (part) => part.type === 'source',
-                              ) &&
-                                (() => {
-                                  const sourceCount =
-                                    message.parts?.filter(
-                                      (part) => part.type === 'source',
-                                    ).length || 0;
-                                  return (
-                                    <Box
-                                      $direction="row"
-                                      $align="center"
-                                      $gap="4px"
-                                      className={`c__button--neutral action-chat-button ${isSourceOpen === message.id ? 'action-chat-button--open' : ''}`}
-                                      onClick={() => openSources(message.id)}
-                                      onKeyDown={(e) => {
-                                        if (
-                                          e.key === 'Enter' ||
-                                          e.key === ' '
-                                        ) {
-                                          e.preventDefault();
-                                          openSources(message.id);
-                                        }
-                                      }}
-                                      role="button"
-                                      tabIndex={0}
-                                    >
-                                      <Icon
-                                        iconName="book"
-                                        $theme="greyscale"
-                                        $variation="550"
-                                        $size="16px"
-                                        className="action-chat-button-icon"
-                                      />
-                                      <Text
-                                        $theme="greyscale"
-                                        $variation="550"
-                                        $weight="500"
-                                        $size="12px"
-                                      >
-                                        {t('Show')} {sourceCount}{' '}
-                                        {sourceCount !== 1
-                                          ? t('sources')
-                                          : t('source')}
-                                      </Text>
-                                    </Box>
-                                  );
-                                })()}
-                            </Box>
-                            <Box $direction="row" $gap="4px">
-                              {/* We should display the button, but disabled if no trace linked */}
-                              {conversationId &&
-                                message.id &&
-                                message.id.startsWith('trace-') && (
-                                  <FeedbackButtons
-                                    conversationId={conversationId}
-                                    messageId={message.id}
-                                  />
-                                )}
-                            </Box>
-                          </Box>
-                        )}
-                      {message.parts &&
-                        isSourceOpen === message.id &&
-                        (() => {
-                          const sourceParts = message.parts.filter(
-                            (part): part is SourceUIPart =>
-                              part.type === 'source',
-                          );
-                          return (
-                            <Box
-                              $css={`
-                              animation: fade-in 0.2s ease-out;
-                            `}
-                            >
-                              <SourceItemList
-                                parts={sourceParts}
-                                getMetadata={getMetadata}
-                              />
-                            </Box>
-                          );
-                        })()}
-                    </Box>
-                  </Box>
-                </Box>
-              );
-            })}
+            {messages.map((message, index) => (
+              <MessageItem
+                key={message.id}
+                message={message}
+                isLastMessage={index === messages.length - 1}
+                isLastAssistantMessage={
+                  message.role === 'assistant' &&
+                  index === lastAssistantMessageIndex
+                }
+                isFirstConversationMessage={isFirstConversationMessage}
+                streamingMessageHeight={streamingMessageHeight}
+                status={status}
+                conversationId={conversationId}
+                isSourceOpen={isSourceOpen}
+                isMobile={isMobile}
+                onCopyToClipboard={copyToClipboard}
+                onOpenSources={openSources}
+                getMetadata={getMetadata}
+              />
+            ))}
           </Box>
         )}
         {(status !== 'ready' && status !== 'streaming' && status !== 'error') ||
@@ -989,7 +687,7 @@ export const Chat = ({
           position: relative;
           bottom: ${isMobile ? '8px' : '20px'};
           margin: auto;
-          background-color: white;
+          background-color: var(--c--contextuals--background--surface--secondary);
           z-index: 1000;
         `}
         $gap="6px"

src/frontend/apps/conversations/src/features/chat/components/ChatError.tsx

@@ -33,14 +33,10 @@ export const ChatError = ({ hasLastSubmission, onRetry }: ChatErrorProps) => {
       >
         {hasLastSubmission ? (
           <Button
-            size="small"
-            color="tertiary"
+            size="nano"
+            color="neutral"
+            variant="bordered"
             onClick={onRetry}
-            className="retry-button"
-            style={{
-              color: 'var(--c--theme--colors--greyscale-550)',
-              borderColor: 'var(--c--theme--colors--greyscale-300)',
-            }}
             icon={
               <svg
                 xmlns="http://www.w3.org/2000/svg"
@@ -60,12 +56,9 @@ export const ChatError = ({ hasLastSubmission, onRetry }: ChatErrorProps) => {
           </Button>
         ) : (
           <Button
-            size="small"
-            color="tertiary"
-            style={{
-              color: 'var(--c--theme--colors--greyscale-550)',
-              borderColor: 'var(--c--theme--colors--greyscale-300)',
-            }}
+            size="nano"
+            color="brand"
+            variant="bordered"
             onClick={() => {
               void router.push('/');
             }}

src/frontend/apps/conversations/src/features/chat/components/CodeBlock.tsx

@@ -71,10 +71,12 @@ export const CodeBlock = ({ children, ...props }: CodeBlockProps) => {
 
   return (
     <>
-      <CopyCodeButton onCopy={handleCopy} />
-      <Box ref={preRef} $position="relative" as="pre" {...props}>
-        {children}
-      </Box>
+      <figure data-rehype-pretty-code-figure="">
+        <CopyCodeButton onCopy={handleCopy} />
+        <Box ref={preRef} $position="relative" as="pre" {...props}>
+          {children}
+        </Box>
+      </figure>
     </>
   );
 };

src/frontend/apps/conversations/src/features/chat/components/FeedbackButtons.tsx

@@ -22,7 +22,7 @@ const ThumbUp = () => (
       fill-rule="evenodd"
       clip-rule="evenodd"
       d="M10.48 3.31533C11.4515 1.69679 13.739 1.54257 14.9186 3.01635C15.4744 3.71116 15.654 4.63525 15.3984 5.4876L14.4273 8.723H18.8941C20.9405 8.72323 22.427 10.6688 21.8891 12.6431L19.8454 20.1363C19.4771 21.4869 18.2502 22.4245 16.8505 22.4246H6.73028C6.72367 22.4247 6.71705 22.4256 6.71041 22.4256C6.70377 22.4256 6.69716 22.4247 6.69055 22.4246H3.60568C2.71921 22.4244 2.00016 21.7055 2 20.8189V10.3287C2.00022 9.44222 2.71921 8.72323 3.60568 8.723H6.56824C6.9817 8.723 7.36522 8.5056 7.57807 8.15119L10.48 3.31533ZM13.4143 4.22061C13.0737 3.79509 12.4124 3.83894 12.1317 4.30633L9.23079 9.14219C8.86738 9.74788 8.31458 10.2004 7.67424 10.4447V20.498H16.8505C17.3813 20.4979 17.846 20.1415 17.9857 19.6293L20.0294 12.1361C20.2331 11.3875 19.6701 10.6498 18.8941 10.6496H13.9966C12.9211 10.6496 12.1498 9.61217 12.4589 8.58188L13.5523 4.9346C13.6259 4.68866 13.5747 4.42117 13.4143 4.22061ZM3.92765 10.6496V20.498H5.74659V10.6496H3.92765Z"
-      fill="#1C1B1F"
+      fill="var(--c--contextuals--content--semantic--neutral--secondary)"
     />
   </svg>
 );
@@ -39,7 +39,7 @@ const ThumbDown = () => (
       fill-rule="evenodd"
       clip-rule="evenodd"
       d="M16.8504 3C18.2501 3.00011 19.477 3.8724 19.8453 5.12866L21.889 12.0991C22.4272 13.9358 20.9405 15.7465 18.894 15.7467H14.4283L15.3984 18.7554C15.6541 19.5485 15.4745 20.4078 14.9185 21.0543C13.7389 22.4257 11.4514 22.2821 10.4799 20.7761L7.57803 16.2777C7.36518 15.948 6.98164 15.7467 6.56822 15.7467H3.60567C2.71925 15.7465 2.00023 15.0777 2 14.253V4.49366C2.00023 3.66904 2.71922 3.00021 3.60567 3H16.8504ZM7.6742 14.1432C8.31475 14.3704 8.86725 14.7922 9.23074 15.3558L12.1316 19.8543C12.4123 20.2894 13.0736 20.3302 13.4143 19.934L13.4697 19.8621C13.5862 19.6864 13.6168 19.4713 13.5523 19.2708L12.4588 15.877C12.1497 14.9185 12.9211 13.9535 13.9965 13.9535H18.894C19.6701 13.9533 20.2334 13.2672 20.0293 12.5707L17.9856 5.6003C17.8459 5.12383 17.3812 4.79329 16.8504 4.79317H7.6742V14.1432ZM3.92764 13.9535H5.74656V4.79317H3.92764V13.9535Z"
-      fill="#1C1B1F"
+      fill="var(--c--contextuals--content--semantic--neutral--secondary)"
     />
   </svg>
 );
@@ -56,7 +56,7 @@ const ThumbDownFilled = () => (
       fill-rule="evenodd"
       clip-rule="evenodd"
       d="M16.8504 3C18.2501 3.00011 19.477 3.8724 19.8453 5.12866L21.889 12.0991C22.4272 13.9358 20.9405 15.7465 18.894 15.7467H14.4283L15.3984 18.7554C15.6541 19.5485 15.4745 20.4078 14.9185 21.0543C13.7389 22.4257 11.4514 22.2821 10.4799 20.7761L7.57803 16.2777C7.36518 15.948 6.98163 15.7467 6.56822 15.7467H3.60567C2.71925 15.7465 2.00023 15.0777 2 14.253V4.49366C2.00023 3.66904 2.71922 3.00021 3.60567 3H16.8504ZM5.92764 13.4535C5.92764 13.7297 6.1515 13.9535 6.42764 13.9535H7.07803C7.35417 13.9535 7.57803 13.7297 7.57803 13.4535V5.29317C7.57803 5.01703 7.35417 4.79317 7.07803 4.79317H6.42764C6.1515 4.79317 5.92764 5.01703 5.92764 5.29317V13.4535Z"
-      fill="#3E5DE7"
+      fill="var(--c--contextuals--content--semantic--brand--tertiary)"
     />
   </svg>
 );
@@ -73,7 +73,7 @@ const ThumbUpFilled = () => (
       fill-rule="evenodd"
       clip-rule="evenodd"
       d="M10.48 3.31533C11.4515 1.69679 13.739 1.54257 14.9186 3.01635C15.4744 3.71116 15.654 4.63525 15.3984 5.4876L14.4273 8.723H18.8941C20.9405 8.72323 22.427 10.6688 21.8891 12.6431L19.8454 20.1363C19.4771 21.4869 18.2502 22.4245 16.8505 22.4246H6.73028C6.72367 22.4247 6.71705 22.4256 6.71041 22.4256C6.70378 22.4256 6.69716 22.4247 6.69055 22.4246H3.60568C2.71921 22.4244 2.00016 21.7055 2 20.8189V10.3287C2.00022 9.44222 2.71921 8.72323 3.60568 8.723H6.56824C6.9817 8.723 7.36522 8.5056 7.57807 8.15119L10.48 3.31533ZM6.42765 10.6496C6.15151 10.6496 5.92765 10.8735 5.92765 11.1496V19.998C5.92765 20.2741 6.15151 20.498 6.42765 20.498H7C7.27614 20.498 7.5 20.2741 7.5 19.998V11.1496C7.5 10.8735 7.27614 10.6496 7 10.6496H6.42765Z"
-      fill="#3E5DE7"
+      fill="var(--c--contextuals--content--semantic--brand--tertiary)"
     />
   </svg>
 );

src/frontend/apps/conversations/src/features/chat/components/InputChat.tsx

@@ -62,9 +62,9 @@ const CONTAINER_CSS = `
 const INPUT_BOX_CSS = `
   box-shadow: 0 4px 16px 0 rgba(0, 0, 0, 0.08);
   border-radius: 12px;
-  border: 1px solid var(--c--theme--colors--greyscale-200);
+  border: 1px solid var(--c--contextuals--border--surface--primary);
   position: relative;
-  background: white;
+  background: var(--c--contextuals--background--surface--primary);
   transition: all 0.2s ease;
   `;
 
@@ -72,10 +72,10 @@ const FILE_DROP_CSS = `
                 top: -1px; left: -1px;
                 border-radius: 12px;
                 z-index: 1001;
-                background-color: #EDF0FF;
+                background-color: var(--c--contextuals--background--semantic--brand--tertiary);
                 width: 100%;
                 height: 100%;
-                outline: 2px solid #90A7FF;
+                outline: 2px solid var(--c--contextuals--border--semantic--brand--secondary);
                 box-shadow: 0 0 64px 0 rgba(62, 93, 231, 0.25);
                 `;
 const DRAG_FADE_CSS = `
@@ -90,7 +90,7 @@ const DRAG_FADE_CSS = `
           `;
 
 const TEXTAREA_STYLE: React.CSSProperties = {
-  padding: '1rem 1.5rem',
+  padding: '1rem 1.5rem 0.5rem 1.5rem',
   background: 'transparent',
   outline: 'none',
   fontSize: '1rem',
@@ -213,39 +213,56 @@ export const InputChat = ({
     }
   }, [status, input]);
 
-  const handleFilesAccepted = useCallback(
-    (acceptedFiles: File[]) => {
-      setFiles((prev) => {
-        const dt = new DataTransfer();
+  const validateAndAddFiles = useCallback(
+    (filesToAdd: File[]) => {
+      const acceptedFiles: File[] = [];
+      const rejectedFiles: File[] = [];
 
-        // Keep existing files
-        if (prev) {
-          Array.from(prev).forEach((f) => dt.items.add(f));
+      filesToAdd.forEach((file) => {
+        if (isFileAccepted(file)) {
+          acceptedFiles.push(file);
+        } else {
+          rejectedFiles.push(file);
         }
-
-        // Add new files (avoiding duplicates)
-        acceptedFiles.forEach((f) => {
-          const isDuplicate = Array.from(prev || []).some(
-            (pf) =>
-              pf.name === f.name &&
-              pf.size === f.size &&
-              pf.lastModified === f.lastModified,
-          );
-          if (!isDuplicate) {
-            dt.items.add(f);
-          }
-        });
-
-        return dt.files;
       });
+
+      if (rejectedFiles.length > 0) {
+        showToastError();
+      }
+
+      if (acceptedFiles.length > 0) {
+        setFiles((prev) => {
+          const dt = new DataTransfer();
+
+          // Keep existing files
+          if (prev) {
+            Array.from(prev).forEach((f) => dt.items.add(f));
+          }
+
+          // Add new files (avoiding duplicates)
+          acceptedFiles.forEach((f) => {
+            const isDuplicate = Array.from(prev || []).some(
+              (pf) =>
+                pf.name === f.name &&
+                pf.size === f.size &&
+                pf.lastModified === f.lastModified,
+            );
+            if (!isDuplicate) {
+              dt.items.add(f);
+            }
+          });
+
+          return dt.files;
+        });
+      }
     },
-    [setFiles],
+    [isFileAccepted, showToastError, setFiles],
   );
 
   const { isDragActive } = useFileDragDrop({
     enabled: fileUploadEnabled,
     isFileAccepted,
-    onFilesAccepted: handleFilesAccepted,
+    onFilesAccepted: validateAndAddFiles,
     onFilesRejected: () => showToastError(),
   });
 
@@ -293,6 +310,41 @@ export const InputChat = ({
     [],
   );
 
+  const handlePaste = useCallback(
+    (e: React.ClipboardEvent<HTMLTextAreaElement>) => {
+      if (!fileUploadEnabled) {
+        return;
+      }
+
+      const clipboardData = e.clipboardData;
+      if (!clipboardData) {
+        return;
+      }
+
+      // Due to browser limitations, only one file can be pasted at a time
+      // Check files first (for files from file system)
+      let file: File | null = null;
+
+      if (clipboardData.files && clipboardData.files.length > 0) {
+        file = clipboardData.files[0];
+      } else if (clipboardData.items) {
+        for (let i = 0; i < clipboardData.items.length; i++) {
+          const item = clipboardData.items[i];
+          if (item.kind === 'file') {
+            file = item.getAsFile();
+            break;
+          }
+        }
+      }
+
+      if (file) {
+        e.preventDefault();
+        validateAndAddFiles([file]);
+      }
+    },
+    [fileUploadEnabled, validateAndAddFiles],
+  );
+
   const handleAttachClick = useCallback(() => {
     fileInputRef.current?.click();
   }, []);
@@ -309,46 +361,10 @@ export const InputChat = ({
         return;
       }
 
-      const acceptedFiles: File[] = [];
-      const rejectedFiles: string[] = [];
-
-      Array.from(fileList).forEach((file) => {
-        if (isFileAccepted(file)) {
-          acceptedFiles.push(file);
-        } else {
-          rejectedFiles.push(file.name);
-        }
-      });
-
-      if (rejectedFiles.length > 0) {
-        showToastError();
-      }
-
-      if (acceptedFiles.length > 0) {
-        setFiles((prev) => {
-          const dt = new DataTransfer();
-          if (prev) {
-            Array.from(prev).forEach((f) => dt.items.add(f));
-          }
-          acceptedFiles.forEach((f) => {
-            if (
-              !Array.from(prev || []).some(
-                (pf) =>
-                  pf.name === f.name &&
-                  pf.size === f.size &&
-                  pf.lastModified === f.lastModified,
-              )
-            ) {
-              dt.items.add(f);
-            }
-          });
-          return dt.files;
-        });
-      }
-
+      validateAndAddFiles(Array.from(fileList));
       e.target.value = '';
     },
-    [isFileAccepted, showToastError, setFiles],
+    [validateAndAddFiles],
   );
 
   const handleAttachmentRemove = useCallback(
@@ -421,10 +437,16 @@ export const InputChat = ({
                 >
                   <FilesIcon />
                   <Box>
-                    <Text $weight="700" $color="#223E9E">
+                    <Text
+                      $weight="700"
+                      $color="var(--c--contextuals--border--semantic--brand--primary)"
+                    >
                       {t('Add file')}
                     </Text>
-                    <Text $weight="400" $color="#223E9E">
+                    <Text
+                      $weight="400"
+                      $color="var(--c--contextuals--border--semantic--brand--primary)"
+                    >
                       {t('To add a file to the conversation, drop it here.')}
                     </Text>
                   </Box>
@@ -437,6 +459,7 @@ export const InputChat = ({
                 name="inputchat-textarea"
                 onChange={handleTextareaChange}
                 onKeyDown={handleTextareaKeyDown}
+                onPaste={handlePaste}
                 disabled={isInputDisabled}
                 rows={1}
                 style={textareaStyle}

src/frontend/apps/conversations/src/features/chat/components/InputChatAction.tsx

@@ -49,7 +49,8 @@ const MOBILE_WEB_BUTTON_CSS = `
 
 const ACTIVE_WEB_BUTTON_CSS = `
   .research-web-button {
-    background-color: var(--c--theme--colors--primary-100) !important;
+    background-color: var(--c--contextuals--background--semantic--brand--secondary) !important;
+    color: var(--c--contextuals--content--semantic--brand--secondary) !important;
   }
 `;
 
@@ -132,51 +133,36 @@ export const InputChatActions = memo(
         <Box
           $flex="1"
           $direction="row"
+          $align="end"
           $padding={STYLES.horizontalPadding}
           $gap="xs"
         >
           {/* Attach file button */}
           <Button
-            size="small"
+            size="nano"
             type="button"
+            color="neutral"
+            className="c__button--neutral"
+            variant="tertiary"
             disabled={!fileUploadEnabled || isUploadingFiles}
             onClick={onAttachClick}
             aria-label={t('Add attach file')}
-            className="c__button--neutral attach-file-button"
-            icon={
-              <Icon
-                iconName="attach_file"
-                $theme="greyscale"
-                $variation="550"
-                $size={attachIconSize}
-              />
-            }
+            icon={<Icon iconName="attach_file" $size={attachIconSize} />}
           >
-            {!isMobile && (
-              <Text $theme="greyscale" $variation="550" $weight="500">
-                {t('Attach file')}
-              </Text>
-            )}
+            {!isMobile && <Text $weight="500">{t('Attach file')}</Text>}
           </Button>
 
           {/* Web search toggle button */}
           {onWebSearchToggle && (
             <Box $margin={STYLES.webSearchMargin} $css={webSearchWrapperCss}>
               <Button
-                size="small"
+                size="nano"
                 type="button"
                 disabled={!webSearchEnabled || isUploadingFiles}
                 onClick={onWebSearchToggle}
                 aria-label={t('Research on the web')}
                 className="c__button--neutral research-web-button"
-                icon={
-                  <Icon
-                    iconName="language"
-                    $theme="greyscale"
-                    $variation="550"
-                    $css={webSearchIconCss}
-                  />
-                }
+                icon={<Icon iconName="language" $css={webSearchIconCss} />}
               >
                 {!isMobile && (
                   <Text
@@ -193,13 +179,18 @@ export const InputChatActions = memo(
                     $gap="xs"
                     $css={MOBILE_TEXT_WRAPPER_CSS}
                   >
-                    <Text $theme="primary" $weight="500" $css={MOBILE_TEXT_CSS}>
+                    <Text
+                      $theme="brand"
+                      $variation="secondary"
+                      $weight="500"
+                      $css={MOBILE_TEXT_CSS}
+                    >
                       {t('Web')}
                     </Text>
                     <Icon
                       iconName="close"
-                      $variation="text"
-                      $theme="primary"
+                      $theme="brand"
+                      $variation="secondary"
                       $size="md"
                       $css={CLOSE_ICON_CSS}
                     />
@@ -211,7 +202,12 @@ export const InputChatActions = memo(
         </Box>
 
         {/* Right side: Model selector + Send */}
-        <Box $direction="row" $padding={STYLES.horizontalPadding} $gap="xs">
+        <Box
+          $direction="row"
+          $align="center"
+          $padding={STYLES.horizontalPadding}
+          $gap="xs"
+        >
           {onModelSelect && (
             <Box $padding={STYLES.horizontalPaddingXs}>
               <ModelSelector

src/frontend/apps/conversations/src/features/chat/components/MessageBlock.tsx

@@ -0,0 +1,89 @@
+// Memoized components for a single completed markdown blocks - only re-renders when content changes
+import rehypeShikiFromHighlighter from '@shikijs/rehype/core';
+import React, { use } from 'react';
+import { Components, MarkdownHooks } from 'react-markdown';
+import rehypeKatex from 'rehype-katex';
+import remarkGfm from 'remark-gfm';
+import remarkMath from 'remark-math';
+
+import { Text } from '@/components';
+import { CodeBlock } from '@/features/chat/components/CodeBlock';
+
+// Memoized markdown plugins - created once at module level
+// eslint-disable-next-line @typescript-eslint/no-explicit-any
+const REMARK_PLUGINS: any[] = [remarkGfm, remarkMath];
+// // eslint-disable-next-line @typescript-eslint/no-explicit-any
+
+import { getHighlighter } from '../utils/shiki';
+
+const highlighterPromise = getHighlighter();
+
+// eslint-disable-next-line @typescript-eslint/no-explicit-any
+const rehypePluginsPromise: Promise<any[]> = highlighterPromise.then(
+  (highlighter) => [
+    rehypeKatex,
+    [
+      rehypeShikiFromHighlighter,
+      highlighter,
+      {
+        theme: 'github-dark-dimmed',
+        fallbackLanguage: 'plaintext',
+      },
+    ],
+  ],
+);
+
+// Memoized markdown components - created once at module level
+const MARKDOWN_COMPONENTS: Components = {
+  // eslint-disable-next-line @typescript-eslint/no-unused-vars
+  p: ({ node, ...props }) => (
+    <Text
+      as="p"
+      $css="display: block"
+      $theme="greyscale"
+      $variation="850"
+      {...props}
+    />
+  ),
+  a: ({ children, ...props }) => (
+    <a target="_blank" {...props}>
+      {children}
+    </a>
+  ),
+
+  pre: ({
+    // eslint-disable-next-line @typescript-eslint/no-unused-vars
+    node,
+    children,
+    ...props
+  }) => <CodeBlock {...props}>{children}</CodeBlock>,
+};
+
+export const CompletedMarkdownBlock = React.memo(
+  ({ content }: { content: string }) => {
+    const rehypePlugins = use(rehypePluginsPromise);
+    return (
+      <MarkdownHooks
+        remarkPlugins={REMARK_PLUGINS}
+        rehypePlugins={rehypePlugins}
+        components={MARKDOWN_COMPONENTS}
+      >
+        {content}
+      </MarkdownHooks>
+    );
+  },
+  (prev, next) => prev.content === next.content,
+);
+
+CompletedMarkdownBlock.displayName = 'CompletedMarkdownBlock';
+
+export const RawTextBlock = ({ content }: { content: string }) => (
+  <Text
+    as="div"
+    $css="white-space: pre-wrap; display: block;"
+    $theme="greyscale"
+    $variation="850"
+  >
+    {content}
+  </Text>
+);

src/frontend/apps/conversations/src/features/chat/components/MessageItem.tsx

@@ -0,0 +1,554 @@
+import { Message, SourceUIPart, ToolInvocationUIPart } from '@ai-sdk/ui-utils';
+import React from 'react';
+import { useTranslation } from 'react-i18next';
+
+import { Box, Icon, Loader, Text } from '@/components';
+import { AttachmentList } from '@/features/chat/components/AttachmentList';
+import { FeedbackButtons } from '@/features/chat/components/FeedbackButtons';
+import {
+  CompletedMarkdownBlock,
+  RawTextBlock,
+} from '@/features/chat/components/MessageBlock';
+import { SourceItemList } from '@/features/chat/components/SourceItemList';
+import { ToolInvocationItem } from '@/features/chat/components/ToolInvocationItem';
+
+// Memoized blocks list to prevent parent re-renders from causing block remounts
+const BlocksList = React.memo(
+  ({ blocks, pending }: { blocks: string[]; pending: string }) => (
+    <div>
+      {/* key={index} is safe here: blocks are append-only during streaming
+         and a completed block's content never changes once finalized. */}
+      {blocks.map((block, index) => (
+        <CompletedMarkdownBlock key={index} content={block} />
+      ))}
+      {pending && <RawTextBlock content={pending} />}
+    </div>
+  ),
+  (prev, next) => {
+    const lengthChanged = prev.blocks.length !== next.blocks.length;
+    const pendingChanged = prev.pending !== next.pending;
+
+    let blocksChanged = false;
+    for (let i = 0; i < Math.min(prev.blocks.length, next.blocks.length); i++) {
+      if (prev.blocks[i] !== next.blocks[i]) {
+        blocksChanged = true;
+      }
+    }
+
+    if (lengthChanged || pendingChanged || blocksChanged) {
+      return false; // needs re-render
+    }
+    return true;
+  },
+);
+BlocksList.displayName = 'BlocksList';
+
+export interface StreamingContent {
+  completedBlocks: string[];
+  pending: string;
+}
+
+/**
+ * Splits content into blocks by double newlines, respecting code fences.
+ * Code fences may contain double newlines, so we merge blocks until fences are balanced.
+ */
+export const splitIntoBlocks = (content: string): string[] => {
+  if (!content) {
+    return [];
+  }
+
+  const rawBlocks = content.split('\n\n');
+  const blocks: string[] = [];
+  let currentBlock = '';
+  let fenceCount = 0;
+
+  for (const rawBlock of rawBlocks) {
+    const fences = (rawBlock.match(/```/g) || []).length;
+
+    currentBlock = currentBlock ? currentBlock + '\n\n' + rawBlock : rawBlock;
+    fenceCount += fences;
+
+    // Balanced fences = complete block
+    if (fenceCount % 2 === 0) {
+      if (currentBlock.trim()) {
+        blocks.push(currentBlock);
+      }
+      currentBlock = '';
+      fenceCount = 0;
+    }
+  }
+
+  if (currentBlock.trim()) {
+    blocks.push(currentBlock);
+  }
+
+  return blocks;
+};
+
+/**
+ * Splits streaming content into completed blocks (safe and ready to render as markdown)
+ * + a pending content (still being streamed, rendered as raw text).
+ *
+ * A block is considered completed when followed by a double newline.
+ * Each block is returned separately to enable independent memoization.
+ * NB: it respects code fences (``` ... ```) that may contain double newlines.
+ */
+export const splitStreamingContent = (content: string): StreamingContent => {
+  if (!content) {
+    return { completedBlocks: [], pending: '' };
+  }
+
+  // Find all code fence positions
+  // Note: this counts all ``` occurrences including those inside inline code spans.
+  // In practice this is unlikely to cause issues since inline code rarely contains ```.
+  const fenceRegex = /```/g;
+  const fences: number[] = [];
+  let match;
+  while ((match = fenceRegex.exec(content)) !== null) {
+    fences.push(match.index);
+  }
+
+  // Check if we're inside an unclosed code fence
+  const isInsideCodeFence = fences.length % 2 === 1;
+
+  let completedContent: string;
+  let pendingContent: string;
+
+  if (isInsideCodeFence) {
+    // Find the last opening fence
+    const lastFenceStart = fences[fences.length - 1];
+    // Everything before the unclosed fence is potentially complete
+    const beforeFence = content.slice(0, lastFenceStart);
+    const fenceAndAfter = content.slice(lastFenceStart);
+
+    // Find the last complete block boundary before the fence
+    const lastDoubleNewline = beforeFence.lastIndexOf('\n\n');
+    if (lastDoubleNewline !== -1) {
+      completedContent = beforeFence.slice(0, lastDoubleNewline);
+      pendingContent = beforeFence.slice(lastDoubleNewline) + fenceAndAfter;
+    } else {
+      // No complete blocks before fence
+      return { completedBlocks: [], pending: content };
+    }
+  } else {
+    // Not inside a code fence - find the last double newline as block boundary
+    const lastDoubleNewline = content.lastIndexOf('\n\n');
+    if (lastDoubleNewline === -1) {
+      // No double newline yet - everything is pending
+      return { completedBlocks: [], pending: content };
+    }
+
+    // Content up to the last \n\n is complete
+    completedContent = content.slice(0, lastDoubleNewline);
+    // Content after the last \n\n is pending (may be empty if content ends with \n\n)
+    pendingContent = content.slice(lastDoubleNewline + 2);
+  }
+
+  const completedBlocks = splitIntoBlocks(completedContent);
+  return { completedBlocks, pending: pendingContent };
+};
+
+interface SourceMetadata {
+  title: string | null;
+  favicon: string | null;
+  loading: boolean;
+  error: boolean;
+}
+
+export interface MessageItemProps {
+  message: Message;
+  isLastMessage: boolean;
+  isLastAssistantMessage: boolean;
+  isFirstConversationMessage: boolean;
+  streamingMessageHeight: number | null;
+  status: 'submitted' | 'streaming' | 'ready' | 'error';
+  conversationId: string | undefined;
+  isSourceOpen: string | null;
+  isMobile: boolean;
+  onCopyToClipboard: (content: string) => void;
+  onOpenSources: (messageId: string) => void;
+  getMetadata: (url: string) => SourceMetadata | undefined;
+}
+
+const MessageItemComponent: React.FC<MessageItemProps> = ({
+  message,
+  isLastMessage,
+  isLastAssistantMessage,
+  isFirstConversationMessage,
+  streamingMessageHeight,
+  status,
+  conversationId,
+  isSourceOpen,
+  isMobile,
+  onCopyToClipboard,
+  onOpenSources,
+  getMetadata,
+}) => {
+  const { t } = useTranslation();
+
+  const shouldApplyStreamingHeight =
+    isLastAssistantMessage &&
+    isLastMessage &&
+    streamingMessageHeight &&
+    !isFirstConversationMessage;
+
+  const isCurrentlyStreaming =
+    isLastAssistantMessage &&
+    (status === 'streaming' || status === 'submitted');
+
+  const sourceParts = React.useMemo(() => {
+    if (!message.parts) {
+      return [];
+    }
+    return message.parts.filter(
+      (part): part is SourceUIPart => part.type === 'source',
+    );
+  }, [message.parts]);
+
+  const toolInvocationParts = React.useMemo(() => {
+    if (!message.parts) {
+      return [];
+    }
+    return message.parts.filter(
+      (part): part is ToolInvocationUIPart => part.type === 'tool-invocation',
+    );
+  }, [message.parts]);
+
+  const hasNonDocumentParsingTool = React.useMemo(() => {
+    return toolInvocationParts.some(
+      (part) => part.toolInvocation.toolName !== 'document_parsing',
+    );
+  }, [toolInvocationParts]);
+
+  const activeToolInvocation = React.useMemo(() => {
+    const tool = toolInvocationParts.find(
+      (part) => part.toolInvocation.toolName !== 'document_parsing',
+    );
+    return tool?.toolInvocation;
+  }, [toolInvocationParts]);
+
+  const activeToolInvocationDisplayName = React.useMemo(() => {
+    if (!activeToolInvocation) {
+      return '';
+    }
+
+    if (activeToolInvocation.toolName === 'summarize') {
+      return t('Summarizing...');
+    }
+    if (activeToolInvocation.toolName === 'translate') {
+      return t('Translation in progress...');
+    }
+
+    return t('Search...');
+  }, [activeToolInvocation, t]);
+
+  // Memoize the streaming content split to avoid recreating components in JSX
+  const { completedBlocks, pending } = React.useMemo(() => {
+    // When not streaming, everything is completed as a single block array
+    if (!isCurrentlyStreaming) {
+      return {
+        completedBlocks: splitIntoBlocks(message.content),
+        pending: '',
+      };
+    }
+    return splitStreamingContent(message.content);
+  }, [isCurrentlyStreaming, message.content]);
+
+  const handleCopy = React.useCallback(() => {
+    onCopyToClipboard(message.content);
+  }, [onCopyToClipboard, message.content]);
+
+  const handleCopyKeyDown = React.useCallback(
+    (e: React.KeyboardEvent) => {
+      if (e.key === 'Enter' || e.key === ' ') {
+        e.preventDefault();
+        onCopyToClipboard(message.content);
+      }
+    },
+    [onCopyToClipboard, message.content],
+  );
+
+  const handleOpenSources = React.useCallback(() => {
+    onOpenSources(message.id);
+  }, [onOpenSources, message.id]);
+
+  const handleOpenSourcesKeyDown = React.useCallback(
+    (e: React.KeyboardEvent) => {
+      if (e.key === 'Enter' || e.key === ' ') {
+        e.preventDefault();
+        onOpenSources(message.id);
+      }
+    },
+    [onOpenSources, message.id],
+  );
+
+  return (
+    <Box
+      data-message-id={message.id}
+      data-testid={message.id}
+      $css={`
+        display: flex;
+        width: 100%;
+        margin: auto;
+        margin-bottom: ${isLastAssistantMessage ? '30px' : '0px'};
+        color: var(--c--theme--colors--greyscale-850);
+        padding-left: 12px;
+        padding-right: 12px;
+        max-width: 750px;
+        text-align: left;
+        overflow-wrap: anywhere;
+        flex-direction: ${message.role === 'user' ? 'row-reverse' : 'row'};
+      `}
+    >
+      <Box
+        $display="block"
+        $width={`${message.role === 'user' ? 'auto' : '100%'}`}
+      >
+        {message.experimental_attachments &&
+          message.experimental_attachments.length > 0 && (
+            <Box>
+              <AttachmentList
+                attachments={message.experimental_attachments}
+                isReadOnly={true}
+              />
+            </Box>
+          )}
+        <Box
+          $radius="8px"
+          $width={`${message.role === 'user' ? 'auto' : '100%'}`}
+          $maxWidth="100%"
+          $padding={`${message.role === 'user' ? '12px' : '0'}`}
+          $margin={{ vertical: 'base' }}
+          $background={`${message.role === 'user' ? '#EEF1F4' : 'white'}`}
+          $css={`
+            display: inline-block;
+            float: right;
+            ${shouldApplyStreamingHeight ? `min-height: ${streamingMessageHeight}px;` : ''}`}
+        >
+          {/* Message content */}
+          {message.content && (
+            <Box
+              className="mainContent-chat"
+              data-testid={
+                message.role === 'assistant'
+                  ? 'assistant-message-content'
+                  : undefined
+              }
+              $padding={{ all: 'xxs' }}
+            >
+              <p className="sr-only">
+                {message.role === 'user'
+                  ? t('You said: ')
+                  : t('Assistant IA replied: ')}
+              </p>
+              {message.role === 'user' ? (
+                <Text
+                  as="p"
+                  $css="white-space: pre-wrap; display: block;"
+                  $theme="greyscale"
+                  $variation="850"
+                >
+                  {message.content}
+                </Text>
+              ) : (
+                // Render completed blocks as markdown, pending block as plain text
+                <BlocksList blocks={completedBlocks} pending={pending} />
+              )}
+            </Box>
+          )}
+
+          <Box $direction="column" $gap="2">
+            {isCurrentlyStreaming &&
+              isLastAssistantMessage &&
+              status === 'streaming' &&
+              hasNonDocumentParsingTool && (
+                <Box
+                  $direction="row"
+                  $align="center"
+                  $gap="6px"
+                  $width="100%"
+                  $maxWidth="750px"
+                  $margin={{
+                    all: 'auto',
+                    top: 'base',
+                    bottom: 'md',
+                  }}
+                >
+                  <Loader />
+                  <Text $variation="600" $size="md">
+                    {activeToolInvocationDisplayName}
+                  </Text>
+                </Box>
+              )}
+            {toolInvocationParts.map((part, partIndex) =>
+              isCurrentlyStreaming && isLastAssistantMessage ? (
+                <ToolInvocationItem
+                  key={`tool-invocation-${partIndex}`}
+                  toolInvocation={part.toolInvocation}
+                  status={status}
+                  hideSearchLoader={true}
+                />
+              ) : null,
+            )}
+          </Box>
+
+          {message.role === 'assistant' &&
+            !(isLastAssistantMessage && status === 'streaming') && (
+              <Box
+                $css="color: #222631; font-size: 12px;"
+                $direction="row"
+                $align="center"
+                $justify="space-between"
+                $gap="6px"
+                $margin={{ top: 'base' }}
+              >
+                <Box $direction="row" $gap="4px">
+                  <Box
+                    $direction="row"
+                    $align="center"
+                    $gap="4px"
+                    className="c__button--neutral action-chat-button"
+                    onClick={handleCopy}
+                    onKeyDown={handleCopyKeyDown}
+                    role="button"
+                    tabIndex={0}
+                  >
+                    <Icon
+                      iconName="content_copy"
+                      $theme="greyscale"
+                      $variation="550"
+                      $size="16px"
+                      className="action-chat-button-icon"
+                    />
+                    {!isMobile && (
+                      <Text $theme="greyscale" $variation="550">
+                        {t('Copy')}
+                      </Text>
+                    )}
+                  </Box>
+                  {sourceParts.length > 0 && (
+                    <Box
+                      $direction="row"
+                      $align="center"
+                      $gap="4px"
+                      className={`c__button--neutral action-chat-button ${isSourceOpen === message.id ? 'action-chat-button--open' : ''}`}
+                      onClick={handleOpenSources}
+                      onKeyDown={handleOpenSourcesKeyDown}
+                      role="button"
+                      tabIndex={0}
+                    >
+                      <Icon
+                        iconName="book"
+                        $theme="greyscale"
+                        $variation="550"
+                        $size="16px"
+                        className="action-chat-button-icon"
+                      />
+                      <Text
+                        $theme="greyscale"
+                        $variation="550"
+                        $weight="500"
+                        $size="12px"
+                      >
+                        {t('Show')} {sourceParts.length}{' '}
+                        {sourceParts.length !== 1 ? t('sources') : t('source')}
+                      </Text>
+                    </Box>
+                  )}
+                </Box>
+                <Box $direction="row" $gap="4px">
+                  {conversationId &&
+                    message.id &&
+                    message.id.startsWith('trace-') && (
+                      <FeedbackButtons
+                        conversationId={conversationId}
+                        messageId={message.id}
+                      />
+                    )}
+                </Box>
+              </Box>
+            )}
+
+          {isSourceOpen === message.id && sourceParts.length > 0 && (
+            <Box
+              $css={`
+                animation: fade-in 0.2s ease-out;
+              `}
+            >
+              <SourceItemList parts={sourceParts} getMetadata={getMetadata} />
+            </Box>
+          )}
+        </Box>
+      </Box>
+    </Box>
+  );
+};
+
+MessageItemComponent.displayName = 'MessageItem';
+
+// Custom comparison function for React.memo
+// Only re-render when props that affect rendering change
+const arePropsEqual = (
+  prevProps: MessageItemProps,
+  nextProps: MessageItemProps,
+): boolean => {
+  // Always re-render if message content changed
+  if (prevProps.message.id !== nextProps.message.id) {
+    return false;
+  }
+  if (prevProps.message.content !== nextProps.message.content) {
+    return false;
+  }
+  if (prevProps.message.role !== nextProps.message.role) {
+    return false;
+  }
+
+  // Check parts changes (for streaming tool invocations and sources)
+  const prevPartsLength = prevProps.message.parts?.length ?? 0;
+  const nextPartsLength = nextProps.message.parts?.length ?? 0;
+  if (prevPartsLength !== nextPartsLength) {
+    return false;
+  }
+
+  // Check attachments
+  const prevAttachmentsLength =
+    prevProps.message.experimental_attachments?.length ?? 0;
+  const nextAttachmentsLength =
+    nextProps.message.experimental_attachments?.length ?? 0;
+  if (prevAttachmentsLength !== nextAttachmentsLength) {
+    return false;
+  }
+
+  // Check rendering flags
+  if (prevProps.isLastMessage !== nextProps.isLastMessage) {
+    return false;
+  }
+  if (prevProps.isLastAssistantMessage !== nextProps.isLastAssistantMessage) {
+    return false;
+  }
+  if (
+    prevProps.isFirstConversationMessage !==
+    nextProps.isFirstConversationMessage
+  ) {
+    return false;
+  }
+  if (prevProps.streamingMessageHeight !== nextProps.streamingMessageHeight) {
+    return false;
+  }
+  if (prevProps.status !== nextProps.status) {
+    return false;
+  }
+  if (prevProps.isSourceOpen !== nextProps.isSourceOpen) {
+    return false;
+  }
+  if (prevProps.isMobile !== nextProps.isMobile) {
+    return false;
+  }
+  if (prevProps.conversationId !== nextProps.conversationId) {
+    return false;
+  }
+
+  return true;
+};
+
+export const MessageItem = React.memo(MessageItemComponent, arePropsEqual);

src/frontend/apps/conversations/src/features/chat/components/ModelSelector.tsx

@@ -152,8 +152,8 @@ export const ModelSelector = ({
               bottom: 100%;
               right: -30px;
               width: 300px;
-              background: white;
-              border: 1px solid var(--c--theme--colors--greyscale-100);
+              background: var(--c--contextuals--background--surface--tertiary);
+              border: 1px solid var(--c--contextuals--background--surface--secondary);
               border-radius: 4px;
               box-shadow: 0 0 6px 0 rgba(0, 0, 145, 0.10);
               z-index: 1000;
@@ -162,7 +162,7 @@ export const ModelSelector = ({
               overflow-y: auto;
               overflow-x: hidden;
               justify-content: space-between;
-              
+    
               /* Custom scrollbar */
               &::-webkit-scrollbar {
                 width: 6px;
@@ -171,11 +171,11 @@ export const ModelSelector = ({
                 background: transparent;
               }
               &::-webkit-scrollbar-thumb {
-                background: var(--c--theme--colors--greyscale-300);
+                background: var(--c--contextuals--background--surface--secondary);
                 border-radius: 3px;
               }
               &::-webkit-scrollbar-thumb:hover {
-                background: var(--c--theme--colors--greyscale-400);
+                background: var(--c--contextuals--background--surface--secondary);
               }
             `}
           >
@@ -192,13 +192,13 @@ export const ModelSelector = ({
                   position: relative;
                   
                     &:hover {
-                      background-color: #f2f5f4;
+                      background-color: var(--c--contextuals--background--surface--secondary);
                     }
                   
                   ${
                     currentModel?.hrid === model.hrid
                       ? `
-                    background-color: #f2f5f4;
+                    background-color: var(--c--contextuals--background--surface--secondary);
                   `
                       : ''
                   }
@@ -227,8 +227,8 @@ export const ModelSelector = ({
                       $css="display: flex; align-items: center; justify-content: space-between; gap: 16px;"
                     >
                       <Text
-                        $theme="greyscale"
-                        $variation="850"
+                        $theme="neutral"
+                        $variation="primary"
                         $weight="500"
                         $size="s"
                       >
@@ -237,8 +237,8 @@ export const ModelSelector = ({
                       {model.is_default && (
                         <Box>
                           <Text
-                            $theme="greyscale"
-                            $variation="550"
+                            $theme="neutral"
+                            $variation="tertiary"
                             $size="xs"
                             $weight="400"
                           >

src/frontend/apps/conversations/src/features/chat/components/ScrollDown.tsx

@@ -46,12 +46,12 @@ export const ScrollDown: React.FC<ScrollDownProps> = ({
       `}
     >
       <Button
-        className="c__button--bordered"
+        className="c__button--background"
         aria-label="See more"
+        color="brand"
+        variant="bordered"
         onClick={onClick}
-        icon={
-          <Icon $variation="text" $theme="primary" iconName="arrow_downward" />
-        }
+        icon={<Icon $theme="inherit" iconName="arrow_downward" />}
       />
     </Box>
   );

src/frontend/apps/conversations/src/features/chat/components/SendButton.tsx

@@ -39,28 +39,23 @@ export const SendButton = ({
         <Button
           size="small"
           type="submit"
+          className="c__button--send"
           aria-label={t('Send')}
           disabled={disabled || status === 'error'}
-          color="primary"
-          icon={
-            <Icon
-              $variation="800"
-              $theme="primary-text"
-              iconName="arrow_upward"
-            />
-          }
+          variant="primary"
+          icon={<Icon $theme="primary-text" iconName="arrow_upward" />}
         />
       ) : (
         <Button
-          size="small"
+          size="nano"
           type="button"
           aria-label={t('Stop')}
           disabled={false}
           onClick={onClick}
-          className="c__button--stop"
+          className="c__button--stop bg-semantic-neutral-primary"
           icon={<StopIcon />}
         >
-          <Text $theme="greyscale" $variation="000">
+          <Text $theme="neutral" $variation="on-neutral">
             {t('Stop')}
           </Text>
         </Button>

src/frontend/apps/conversations/src/features/chat/components/SourceItem.tsx

@@ -5,7 +5,7 @@ import { Box, StyledLink } from '@/components';
 
 const styles: Record<string, React.CSSProperties> = {
   title: {
-    color: '#222631',
+    color: 'var(--c--contextuals--content--semantic--neutral--primary)',
     fontWeight: '500',
     whiteSpace: 'nowrap',
     overflow: 'hidden',
@@ -173,10 +173,10 @@ export const SourceItem: React.FC<SourceItemProps> = ({ url, metadata }) => {
                 text-overflow: ellipsis;
                 background-color: transparent;
                 transition: background-color 0.3s;
-                color: var(--c--theme--colors--greyscale-500);
+                color: var(--c--contextuals--content--semantic--neutral--tertiary);
                 &:hover {
-                  color: var(--c--theme--colors--greyscale-700);
-                  background-color: #EEF1F4;
+                  color: var(--c--contextuals--content--semantic--neutral--tertiary);
+                  background-color: var(--c--contextuals--background--semantic--neutral--tertiary);
                 }
             `}
           >

src/frontend/apps/conversations/src/features/chat/components/SourceItemList.tsx

@@ -23,14 +23,13 @@ const SourceItemListComponent: React.FC<SourceItemListProps> = ({
   if (parts.length === 0) {
     return null;
   }
-
   return (
     <Box
       $direction="column"
       $padding={{ all: 'sm' }}
       $gap="4px"
       $css={`
-       border: 1px solid var(--c--theme--colors--greyscale-100);
+       border: 1px solid var(--c--contextuals--border--surface--primary);
        border-radius: 8px;
        margin-top: 0.5rem;
        overflow: hidden;

src/frontend/apps/conversations/src/features/chat/components/SuggestionCarousel.tsx

@@ -3,13 +3,7 @@ import { useTranslation } from 'react-i18next';
 
 import { Box } from '@/components';
 
-const SUGGESTION_KEYS = [
-  'Ask a question',
-  'Turn this list into bullet points',
-  'Write a short product description',
-  'Find recent news about...',
-] as const;
-const SUGGESTIONS_COUNT = SUGGESTION_KEYS.length;
+const SUGGESTIONS_COUNT = 4;
 
 const WRAPPER_CSS = `position: absolute;
                   top: 1rem;
@@ -42,7 +36,15 @@ export const SuggestionCarousel = ({
   const [currentSuggestionIndex, setCurrentSuggestionIndex] = useState(0);
   const [isResetting, setIsResetting] = useState(false);
 
-  const suggestions = useMemo(() => SUGGESTION_KEYS.map((key) => t(key)), [t]);
+  const suggestions = useMemo(
+    () => [
+      t('Ask a question'),
+      t('Turn this list into bullet points'),
+      t('Write a short product description'),
+      t('Find recent news about...'),
+    ],
+    [t],
+  );
   const carouselSuggestions = useMemo(
     () => [...suggestions, suggestions[0]],
     [suggestions],

src/frontend/apps/conversations/src/features/chat/components/ToolInvocationItem.tsx

@@ -29,13 +29,15 @@ export const ToolInvocationItem: React.FC<ToolInvocationItemProps> = ({
       ?.documents;
     const documentIdentifiers: string[] =
       Array.isArray(documents) &&
-      documents.every(
-        (doc): doc is { identifier: string } =>
-          typeof doc === 'object' && doc !== null && 'identifier' in doc,
-      )
+        documents.every(
+          (doc): doc is { identifier: string } =>
+            typeof doc === 'object' && doc !== null && 'identifier' in doc,
+        )
         ? documents.map((doc) => doc.identifier)
         : [];
 
+    const label = documentIdentifiers.length > 1 ? 'Extracting documents...' : 'Extracting document...';
+
     return (
       <Box
         $direction="row"
@@ -48,9 +50,7 @@ export const ToolInvocationItem: React.FC<ToolInvocationItemProps> = ({
       >
         <Loader />
         <Text $variation="600" $size="md">
-          {t('Extracting documents: {{documents}} ...', {
-            documents: documentIdentifiers.join(', '),
-          })}
+          {t(label, { documents: documentIdentifiers.join(', ') })}
         </Text>
       </Box>
     );

src/frontend/apps/conversations/src/features/chat/components/__tests__/MessageBlock.test.tsx

@@ -0,0 +1,171 @@
+/* eslint-disable testing-library/no-unnecessary-act, @typescript-eslint/require-await */
+import { CunninghamProvider } from '@openfun/cunningham-react';
+import { act, render, screen } from '@testing-library/react';
+import { Suspense } from 'react';
+
+import { CompletedMarkdownBlock, RawTextBlock } from '../MessageBlock';
+
+// Mock react-markdown (ESM module not compatible with Jest)
+jest.mock('react-markdown', () => ({
+  MarkdownHooks: ({ children }: { children: string }) => {
+    // Simple mock that renders markdown-like content
+    // This tests the component integration, not the markdown parsing itself
+    return <div data-testid="markdown-content">{children}</div>;
+  },
+}));
+
+// Mock rehype/remark plugins
+jest.mock('@shikijs/rehype/core', () => () => {});
+jest.mock('../../utils/shiki', () => ({
+  getHighlighter: () => Promise.resolve({}),
+}));
+jest.mock('rehype-katex', () => () => {});
+jest.mock('remark-gfm', () => () => {});
+jest.mock('remark-math', () => () => {});
+
+jest.mock('react-i18next', () => ({
+  useTranslation: () => ({
+    t: (key: string) => key,
+  }),
+}));
+
+const renderWithProviders = (ui: React.ReactNode) => {
+  return render(
+    <CunninghamProvider>
+      <Suspense fallback={null}>{ui}</Suspense>
+    </CunninghamProvider>,
+  );
+};
+
+describe('CompletedMarkdownBlock', () => {
+  it('renders content through MarkdownHooks', async () => {
+    await act(async () => {
+      renderWithProviders(<CompletedMarkdownBlock content="Hello world" />);
+    });
+
+    expect(screen.getByText('Hello world')).toBeInTheDocument();
+  });
+
+  it('passes content to markdown renderer', async () => {
+    const content = '# Header Some **bold** text';
+    await act(async () => {
+      renderWithProviders(<CompletedMarkdownBlock content={content} />);
+    });
+
+    expect(screen.getByTestId('markdown-content')).toHaveTextContent(content);
+  });
+
+  it('does not re-render when content is the same (memoization)', async () => {
+    let rerender: ReturnType<typeof render>['rerender'];
+    await act(async () => {
+      ({ rerender } = renderWithProviders(
+        <CompletedMarkdownBlock content="Same content" />,
+      ));
+    });
+
+    const firstRender = screen.getByTestId('markdown-content');
+
+    rerender!(
+      <CunninghamProvider>
+        <Suspense fallback={null}>
+          <CompletedMarkdownBlock content="Same content" />
+        </Suspense>
+      </CunninghamProvider>,
+    );
+
+    const secondRender = screen.getByTestId('markdown-content');
+
+    // The DOM element should be the same instance (not recreated)
+    expect(firstRender).toBe(secondRender);
+  });
+
+  it('re-renders when content changes', async () => {
+    let rerender: ReturnType<typeof render>['rerender'];
+    await act(async () => {
+      ({ rerender } = renderWithProviders(
+        <CompletedMarkdownBlock content="Original content" />,
+      ));
+    });
+
+    expect(screen.getByText('Original content')).toBeInTheDocument();
+
+    rerender!(
+      <CunninghamProvider>
+        <Suspense fallback={null}>
+          <CompletedMarkdownBlock content="New content" />
+        </Suspense>
+      </CunninghamProvider>,
+    );
+
+    expect(screen.queryByText('Original content')).not.toBeInTheDocument();
+    expect(screen.getByText('New content')).toBeInTheDocument();
+  });
+
+  it('handles empty content', async () => {
+    let container: HTMLElement;
+    await act(async () => {
+      ({ container } = renderWithProviders(
+        <CompletedMarkdownBlock content="" />,
+      ));
+    });
+
+    expect(container!).toBeInTheDocument();
+    expect(screen.getByTestId('markdown-content')).toBeInTheDocument();
+  });
+
+  it('handles content with special characters', async () => {
+    await act(async () => {
+      renderWithProviders(
+        <CompletedMarkdownBlock content={`Special chars: < > & " '`} />,
+      );
+    });
+
+    expect(screen.getByText(/Special chars:/)).toBeInTheDocument();
+  });
+});
+
+describe('RawTextBlock', () => {
+  it('renders plain text content', () => {
+    renderWithProviders(<RawTextBlock content="Raw text content" />);
+
+    expect(screen.getByText('Raw text content')).toBeInTheDocument();
+  });
+
+  it('preserves whitespace and newlines', () => {
+    renderWithProviders(
+      <RawTextBlock content="Line 1\n  Indented line\nLine 3" />,
+    );
+
+    const textElement = screen.getByText(/Line 1/);
+    expect(textElement).toHaveStyle('white-space: pre-wrap');
+  });
+
+  it('renders as a div element', () => {
+    renderWithProviders(<RawTextBlock content="Test content" />);
+
+    const element = screen.getByText('Test content');
+    // Text component renders with as="div", check it's in the DOM
+    expect(element).toBeInTheDocument();
+  });
+
+  it('does not parse markdown syntax', () => {
+    renderWithProviders(<RawTextBlock content="**not bold** *not italic*" />);
+
+    // Should render the raw markdown syntax, not parsed
+    expect(screen.getByText('**not bold** *not italic*')).toBeInTheDocument();
+  });
+
+  it('handles empty content', () => {
+    const { container } = renderWithProviders(<RawTextBlock content="" />);
+
+    expect(container).toBeInTheDocument();
+  });
+
+  it('handles content with code fence markers', () => {
+    renderWithProviders(
+      <RawTextBlock content="```python\npsquares = [x**2 for x in range(10)]" />,
+    );
+
+    expect(screen.getByText(/```python/)).toBeInTheDocument();
+  });
+});

src/frontend/apps/conversations/src/features/chat/components/__tests__/MessageItem.test.tsx

@@ -0,0 +1,536 @@
+/* eslint-disable testing-library/no-unnecessary-act, @typescript-eslint/require-await */
+import { CunninghamProvider } from '@openfun/cunningham-react';
+import { act, render, screen } from '@testing-library/react';
+import userEvent from '@testing-library/user-event';
+import { Suspense } from 'react';
+
+import {
+  MessageItem,
+  splitIntoBlocks,
+  splitStreamingContent,
+} from '../MessageItem';
+
+// Mock react-markdown (ESM module)
+jest.mock('react-markdown', () => ({
+  MarkdownHooks: ({ children }: { children: string }) => (
+    <div data-testid="markdown-content">{children}</div>
+  ),
+}));
+
+jest.mock('@shikijs/rehype/core', () => () => {});
+jest.mock('../../utils/shiki', () => ({
+  getHighlighter: () => Promise.resolve({}),
+}));
+jest.mock('rehype-katex', () => () => {});
+jest.mock('remark-gfm', () => () => {});
+jest.mock('remark-math', () => () => {});
+
+jest.mock('react-i18next', () => ({
+  useTranslation: () => ({
+    t: (key: string) => key,
+  }),
+}));
+
+// Mock child components
+jest.mock('../AttachmentList', () => ({
+  AttachmentList: () => <div data-testid="attachment-list" />,
+}));
+
+jest.mock('../FeedbackButtons', () => ({
+  FeedbackButtons: () => <div data-testid="feedback-buttons" />,
+}));
+
+jest.mock('../SourceItemList', () => ({
+  SourceItemList: () => <div data-testid="source-item-list" />,
+}));
+
+jest.mock('../ToolInvocationItem', () => ({
+  ToolInvocationItem: () => <div data-testid="tool-invocation-item" />,
+}));
+
+describe('splitIntoBlocks', () => {
+  describe('basic splitting', () => {
+    it('returns empty array for empty content', () => {
+      expect(splitIntoBlocks('')).toEqual([]);
+    });
+
+    it('returns empty array for null/undefined content', () => {
+      expect(splitIntoBlocks(null as unknown as string)).toEqual([]);
+      expect(splitIntoBlocks(undefined as unknown as string)).toEqual([]);
+    });
+
+    it('returns single block for content without double newlines', () => {
+      expect(splitIntoBlocks('Hello world')).toEqual(['Hello world']);
+    });
+
+    it('splits content by double newlines', () => {
+      expect(splitIntoBlocks('Block 1\n\nBlock 2')).toEqual([
+        'Block 1',
+        'Block 2',
+      ]);
+    });
+
+    it('splits multiple blocks', () => {
+      expect(splitIntoBlocks('Block 1\n\nBlock 2\n\nBlock 3')).toEqual([
+        'Block 1',
+        'Block 2',
+        'Block 3',
+      ]);
+    });
+
+    it('ignores single newlines', () => {
+      expect(splitIntoBlocks('Line 1\nLine 2\n\nBlock 2')).toEqual([
+        'Line 1\nLine 2',
+        'Block 2',
+      ]);
+    });
+
+    it('filters out empty blocks', () => {
+      expect(splitIntoBlocks('Block 1\n\n\n\nBlock 2')).toEqual([
+        'Block 1',
+        'Block 2',
+      ]);
+    });
+
+    it('filters out whitespace-only blocks', () => {
+      expect(splitIntoBlocks('Block 1\n\n   \n\nBlock 2')).toEqual([
+        'Block 1',
+        'Block 2',
+      ]);
+    });
+  });
+
+  describe('code fence handling', () => {
+    it('keeps code block with internal double newlines as single block', () => {
+      const content = '```python\nline1\n\nline2\n```';
+      expect(splitIntoBlocks(content)).toEqual([content]);
+    });
+
+    it('keeps code block intact when followed by other content', () => {
+      const content = '```python\ncode\n```\n\nText after';
+      expect(splitIntoBlocks(content)).toEqual([
+        '```python\ncode\n```',
+        'Text after',
+      ]);
+    });
+
+    it('keeps code block intact when preceded by other content', () => {
+      const content = 'Text before\n\n```python\ncode\n```';
+      expect(splitIntoBlocks(content)).toEqual([
+        'Text before',
+        '```python\ncode\n```',
+      ]);
+    });
+
+    it('handles multiple code blocks', () => {
+      const content = '```js\ncode1\n```\n\nText\n\n```python\ncode2\n```';
+      expect(splitIntoBlocks(content)).toEqual([
+        '```js\ncode1\n```',
+        'Text',
+        '```python\ncode2\n```',
+      ]);
+    });
+
+    it('handles code block with multiple double newlines inside', () => {
+      const content = '```\nline1\n\nline2\n\nline3\n```';
+      expect(splitIntoBlocks(content)).toEqual([content]);
+    });
+
+    it('handles nested backticks inside code block', () => {
+      const content = '```markdown\nSome `inline` code\n\nMore text\n```';
+      expect(splitIntoBlocks(content)).toEqual([content]);
+    });
+
+    it('handles unclosed code fence', () => {
+      const content = 'Text\n\n```python\ncode without closing';
+      const result = splitIntoBlocks(content);
+      // The unclosed fence should be kept with the text before it
+      expect(result).toEqual(['Text', '```python\ncode without closing']);
+    });
+  });
+
+  describe('edge cases', () => {
+    it('handles content ending with double newline', () => {
+      expect(splitIntoBlocks('Block 1\n\nBlock 2\n\n')).toEqual([
+        'Block 1',
+        'Block 2',
+      ]);
+    });
+
+    it('handles content starting with double newline', () => {
+      expect(splitIntoBlocks('\n\nBlock 1\n\nBlock 2')).toEqual([
+        'Block 1',
+        'Block 2',
+      ]);
+    });
+
+    it('handles markdown headers', () => {
+      expect(splitIntoBlocks('# Header\n\nParagraph')).toEqual([
+        '# Header',
+        'Paragraph',
+      ]);
+    });
+
+    it('handles markdown lists', () => {
+      const content = '- Item 1\n- Item 2\n\nParagraph';
+      expect(splitIntoBlocks(content)).toEqual([
+        '- Item 1\n- Item 2',
+        'Paragraph',
+      ]);
+    });
+  });
+});
+
+describe('splitStreamingContent', () => {
+  describe('basic splitting', () => {
+    it('returns empty blocks and empty pending for empty content', () => {
+      expect(splitStreamingContent('')).toEqual({
+        completedBlocks: [],
+        pending: '',
+      });
+    });
+
+    it('returns all content as pending when no double newline', () => {
+      expect(splitStreamingContent('Partial content')).toEqual({
+        completedBlocks: [],
+        pending: 'Partial content',
+      });
+    });
+
+    it('splits completed and pending content', () => {
+      expect(splitStreamingContent('Block 1\n\nPending')).toEqual({
+        completedBlocks: ['Block 1'],
+        pending: 'Pending',
+      });
+    });
+
+    it('handles multiple completed blocks with pending', () => {
+      expect(splitStreamingContent('Block 1\n\nBlock 2\n\nPending')).toEqual({
+        completedBlocks: ['Block 1', 'Block 2'],
+        pending: 'Pending',
+      });
+    });
+  });
+
+  describe('content ending with double newline (bug fix)', () => {
+    it('keeps blocks when content ends with double newline', () => {
+      // This was the bug: content ending with \n\n would return empty blocks
+      const result = splitStreamingContent('Block 1\n\nBlock 2\n\n');
+      expect(result.completedBlocks).toEqual(['Block 1', 'Block 2']);
+      expect(result.pending).toBe('');
+    });
+
+    it('keeps single block when content ends with double newline', () => {
+      const result = splitStreamingContent('Block 1\n\n');
+      expect(result.completedBlocks).toEqual(['Block 1']);
+      expect(result.pending).toBe('');
+    });
+
+    it('handles multiple trailing double newlines', () => {
+      // 'Block 1\n\n\n\n' - lastIndexOf('\n\n') finds the last pair
+      // completedContent = 'Block 1\n\n', pending = ''
+      const result = splitStreamingContent('Block 1\n\n\n\n');
+      expect(result.completedBlocks).toEqual(['Block 1']);
+      expect(result.pending).toBe('');
+    });
+  });
+
+  describe('code fence handling', () => {
+    it('treats unclosed code fence as pending', () => {
+      const result = splitStreamingContent('Text\n\n```python\ncode');
+      expect(result.completedBlocks).toEqual(['Text']);
+      expect(result.pending).toBe('\n\n```python\ncode');
+    });
+
+    it('handles closed code fence as completed', () => {
+      const result = splitStreamingContent('```python\ncode\n```\n\nPending');
+      expect(result.completedBlocks).toEqual(['```python\ncode\n```']);
+      expect(result.pending).toBe('Pending');
+    });
+
+    it('handles unclosed fence with no content before', () => {
+      const result = splitStreamingContent('```python\ncode');
+      expect(result.completedBlocks).toEqual([]);
+      expect(result.pending).toBe('```python\ncode');
+    });
+
+    it('handles unclosed fence with double newline inside', () => {
+      const result = splitStreamingContent('Text\n\n```python\nline1\n\nline2');
+      expect(result.completedBlocks).toEqual(['Text']);
+      expect(result.pending).toContain('```python');
+    });
+
+    it('handles multiple code blocks', () => {
+      const result = splitStreamingContent(
+        '```js\ncode1\n```\n\n```python\ncode2\n```\n\nPending',
+      );
+      expect(result.completedBlocks).toEqual([
+        '```js\ncode1\n```',
+        '```python\ncode2\n```',
+      ]);
+      expect(result.pending).toBe('Pending');
+    });
+  });
+
+  describe('streaming simulation', () => {
+    it('maintains block stability as content grows', () => {
+      // Simulate streaming: content grows over time
+      const stream1 = 'Hello';
+      const stream2 = 'Hello world';
+      const stream3 = 'Hello world\n\n';
+      const stream4 = 'Hello world\n\nSecond';
+      const stream5 = 'Hello world\n\nSecond block\n\n';
+      const stream6 = 'Hello world\n\nSecond block\n\nThird';
+
+      // Initially all pending
+      expect(splitStreamingContent(stream1).completedBlocks).toEqual([]);
+      expect(splitStreamingContent(stream2).completedBlocks).toEqual([]);
+
+      // After first \n\n, first block is complete
+      const result3 = splitStreamingContent(stream3);
+      expect(result3.completedBlocks).toEqual(['Hello world']);
+      expect(result3.pending).toBe('');
+
+      // New content arrives
+      const result4 = splitStreamingContent(stream4);
+      expect(result4.completedBlocks).toEqual(['Hello world']);
+      expect(result4.pending).toBe('Second');
+
+      // Second block completes
+      const result5 = splitStreamingContent(stream5);
+      expect(result5.completedBlocks).toEqual(['Hello world', 'Second block']);
+      expect(result5.pending).toBe('');
+
+      // More content
+      const result6 = splitStreamingContent(stream6);
+      expect(result6.completedBlocks).toEqual(['Hello world', 'Second block']);
+      expect(result6.pending).toBe('Third');
+    });
+
+    it('block content remains stable during streaming', () => {
+      // The key test: first block content should not change as more content arrives
+      const stream1 = 'First block\n\nSecond';
+      const stream2 = 'First block\n\nSecond block\n\nThird';
+
+      const result1 = splitStreamingContent(stream1);
+      const result2 = splitStreamingContent(stream2);
+
+      // First block should be identical
+      expect(result1.completedBlocks[0]).toBe(result2.completedBlocks[0]);
+      expect(result1.completedBlocks[0]).toBe('First block');
+    });
+  });
+
+  describe('edge cases', () => {
+    it('handles only whitespace', () => {
+      expect(splitStreamingContent('   ')).toEqual({
+        completedBlocks: [],
+        pending: '   ',
+      });
+    });
+
+    it('handles only newlines', () => {
+      expect(splitStreamingContent('\n\n')).toEqual({
+        completedBlocks: [],
+        pending: '',
+      });
+    });
+
+    it('handles special characters', () => {
+      const result = splitStreamingContent('Special: < > & "\n\nMore');
+      expect(result.completedBlocks).toEqual(['Special: < > & "']);
+      expect(result.pending).toBe('More');
+    });
+  });
+});
+
+describe('MessageItem', () => {
+  const defaultProps = {
+    message: {
+      id: 'msg-1',
+      role: 'assistant' as const,
+      content: 'Hello world',
+    },
+    isLastMessage: false,
+    isLastAssistantMessage: false,
+    isFirstConversationMessage: false,
+    streamingMessageHeight: null,
+    status: 'ready' as const,
+    conversationId: 'conv-1',
+    isSourceOpen: null,
+    isMobile: false,
+    onCopyToClipboard: jest.fn(),
+    onOpenSources: jest.fn(),
+    getMetadata: jest.fn(),
+  };
+
+  const renderWithProviders = (ui: React.ReactNode) => {
+    return render(
+      <CunninghamProvider>
+        <Suspense fallback={null}>{ui}</Suspense>
+      </CunninghamProvider>,
+    );
+  };
+
+  beforeEach(() => {
+    jest.clearAllMocks();
+  });
+
+  describe('rendering', () => {
+    it('renders assistant message content', async () => {
+      await act(async () => {
+        renderWithProviders(<MessageItem {...defaultProps} />);
+      });
+
+      expect(
+        screen.getByTestId('assistant-message-content'),
+      ).toBeInTheDocument();
+    });
+
+    it('renders user message content', async () => {
+      await act(async () => {
+        renderWithProviders(
+          <MessageItem
+            {...defaultProps}
+            message={{ ...defaultProps.message, role: 'user' }}
+          />,
+        );
+      });
+
+      expect(screen.getByText('Hello world')).toBeInTheDocument();
+    });
+
+    it('renders message with data-message-id attribute', async () => {
+      await act(async () => {
+        renderWithProviders(<MessageItem {...defaultProps} />);
+      });
+
+      expect(screen.getByTestId('msg-1')).toBeInTheDocument();
+    });
+
+    it('renders copy button for non-streaming assistant messages', async () => {
+      await act(async () => {
+        renderWithProviders(<MessageItem {...defaultProps} />);
+      });
+
+      expect(screen.getByText('Copy')).toBeInTheDocument();
+    });
+
+    it('does not render copy button while streaming', async () => {
+      await act(async () => {
+        renderWithProviders(
+          <MessageItem
+            {...defaultProps}
+            status="streaming"
+            isLastAssistantMessage={true}
+          />,
+        );
+      });
+
+      expect(screen.queryByText('Copy')).not.toBeInTheDocument();
+    });
+
+    it('hides copy text on mobile', async () => {
+      await act(async () => {
+        renderWithProviders(<MessageItem {...defaultProps} isMobile={true} />);
+      });
+
+      expect(screen.queryByText('Copy')).not.toBeInTheDocument();
+    });
+  });
+
+  describe('interactions', () => {
+    it('calls onCopyToClipboard when copy button is clicked', async () => {
+      const user = userEvent.setup();
+      const onCopyToClipboard = jest.fn();
+
+      await act(async () => {
+        renderWithProviders(
+          <MessageItem
+            {...defaultProps}
+            onCopyToClipboard={onCopyToClipboard}
+          />,
+        );
+      });
+
+      await user.click(screen.getByText('Copy'));
+
+      expect(onCopyToClipboard).toHaveBeenCalledWith('Hello world');
+    });
+  });
+
+  describe('streaming state', () => {
+    it('uses splitStreamingContent when streaming', async () => {
+      // When streaming, content should be split into blocks + pending
+      await act(async () => {
+        renderWithProviders(
+          <MessageItem
+            {...defaultProps}
+            message={{
+              ...defaultProps.message,
+              content: 'Block 1\n\nPending content',
+            }}
+            status="streaming"
+            isLastAssistantMessage={true}
+          />,
+        );
+      });
+
+      // The markdown content should contain "Block 1" but not necessarily "Pending"
+      // since pending is rendered as raw text
+      expect(
+        screen.getByTestId('assistant-message-content'),
+      ).toBeInTheDocument();
+    });
+  });
+
+  describe('attachments', () => {
+    it('renders AttachmentList when message has attachments', async () => {
+      const messageWithAttachments = {
+        ...defaultProps.message,
+        experimental_attachments: [
+          { url: 'https://example.com/file.pdf', name: 'file.pdf' },
+        ],
+      };
+
+      await act(async () => {
+        renderWithProviders(
+          <MessageItem {...defaultProps} message={messageWithAttachments} />,
+        );
+      });
+
+      expect(screen.getByTestId('attachment-list')).toBeInTheDocument();
+    });
+
+    it('does not render AttachmentList when no attachments', async () => {
+      await act(async () => {
+        renderWithProviders(<MessageItem {...defaultProps} />);
+      });
+
+      expect(screen.queryByTestId('attachment-list')).not.toBeInTheDocument();
+    });
+  });
+
+  describe('feedback buttons', () => {
+    it('renders FeedbackButtons for trace messages', async () => {
+      await act(async () => {
+        renderWithProviders(
+          <MessageItem
+            {...defaultProps}
+            message={{ ...defaultProps.message, id: 'trace-123' }}
+          />,
+        );
+      });
+
+      expect(screen.getByTestId('feedback-buttons')).toBeInTheDocument();
+    });
+
+    it('does not render FeedbackButtons for non-trace messages', async () => {
+      await act(async () => {
+        renderWithProviders(<MessageItem {...defaultProps} />);
+      });
+
+      expect(screen.queryByTestId('feedback-buttons')).not.toBeInTheDocument();
+    });
+  });
+});

src/frontend/apps/conversations/src/features/chat/components/__tests__/SuggestionCarousel.test.tsx

@@ -1,4 +1,5 @@
 import { render, screen } from '@testing-library/react';
+import i18next from 'i18next';
 
 import '@/i18n/initI18n';
 
@@ -9,8 +10,26 @@ describe('SuggestionCarousel', () => {
     jest.useFakeTimers();
   });
 
-  afterEach(() => {
+  afterEach(async () => {
     jest.useRealTimers();
+    await i18next.changeLanguage('en');
+  });
+
+  it('should render all suggestions in french', async () => {
+    await i18next.changeLanguage('fr');
+
+    render(<SuggestionCarousel messagesLength={0} />);
+
+    expect(screen.getAllByText('Poser une question')).toHaveLength(2);
+    expect(
+      screen.getByText('Transformer cette liste en liste à puces...'),
+    ).toBeInTheDocument();
+    expect(
+      screen.getByText('Écrire une description courte du produit...'),
+    ).toBeInTheDocument();
+    expect(
+      screen.getByText('Trouver les dernières actualités concernant...'),
+    ).toBeInTheDocument();
   });
 
   it('should render all suggestions', () => {

src/frontend/apps/conversations/src/features/chat/stores/useChatPreferencesStore.ts

@@ -4,8 +4,10 @@ import { persist } from 'zustand/middleware';
 interface ChatPreferencesState {
   selectedModelHrid: string | null;
   forceWebSearch: boolean;
+  isDarkModePreference: boolean;
   isPanelOpen: boolean;
   setSelectedModelHrid: (hrid: string | null) => void;
+  toggleDarkModePreferences: () => void;
   toggleForceWebSearch: () => void;
   setPanelOpen: (isOpen: boolean) => void;
   togglePanel: () => void;
@@ -16,8 +18,11 @@ export const useChatPreferencesStore = create<ChatPreferencesState>()(
     (set) => ({
       selectedModelHrid: null,
       forceWebSearch: false,
+      isDarkModePreference: false,
       isPanelOpen: false,
       setSelectedModelHrid: (hrid) => set({ selectedModelHrid: hrid }),
+      toggleDarkModePreferences: () =>
+        set((state) => ({ isDarkModePreference: !state.isDarkModePreference })),
       toggleForceWebSearch: () =>
         set((state) => ({ forceWebSearch: !state.forceWebSearch })),
       setPanelOpen: (isOpen) => set({ isPanelOpen: isOpen }),

src/frontend/apps/conversations/src/features/chat/utils/shiki.ts

@@ -0,0 +1,32 @@
+import { createHighlighterCore } from 'shiki/core';
+import { createOnigurumaEngine } from 'shiki/engine/oniguruma';
+import langBash from 'shiki/langs/bash.mjs';
+import langCss from 'shiki/langs/css.mjs';
+import langHtml from 'shiki/langs/html.mjs';
+import langJavascript from 'shiki/langs/javascript.mjs';
+import langJson from 'shiki/langs/json.mjs';
+import langMarkdown from 'shiki/langs/markdown.mjs';
+import langPython from 'shiki/langs/python.mjs';
+import langSql from 'shiki/langs/sql.mjs';
+import langTypescript from 'shiki/langs/typescript.mjs';
+import langYaml from 'shiki/langs/yaml.mjs';
+import themeDimmed from 'shiki/themes/github-dark-dimmed.mjs';
+
+export const getHighlighter = () =>
+  createHighlighterCore({
+    themes: [themeDimmed],
+    langs: [
+      langJavascript,
+      langTypescript,
+      langPython,
+      langBash,
+      langJson,
+      langHtml,
+      langCss,
+      langSql,
+      langYaml,
+      langMarkdown,
+    ],
+
+    engine: createOnigurumaEngine(import('shiki/wasm')),
+  });

src/frontend/apps/conversations/src/features/feedback/Feedback.tsx

@@ -19,8 +19,9 @@ export const Feedback = (_props: { buttonProps?: Partial<ButtonProps> }) => {
       <Button
         icon={<InfoIcon />}
         fullWidth
+        color="info"
+        variant="secondary"
         onClick={() => modal.open()}
-        className="c__button--info"
       >
         {t('Give feedback')}
       </Button>
@@ -101,25 +102,25 @@ const FeedbackButton = ({
         align-items: center;
         transition: all 0.2s ease;
         cursor: pointer;
-        border: 1px solid var(--c--theme--colors--greyscale-100);
-        color: var(--c--theme--colors--greyscale-600) !important;
+        border: 1px solid var(--c--contextuals--border--semantic--neutral--tertiary);
+        color: var(--c--contextuals--content--semantic--neutral--secondary) !important;
         
         &:hover {
           border-color: #b6d7fb;
-          background-color: #e7f2fd;
-          color: var(--c--theme--colors--info-600) !important;
+          background-color: var(--c--contextuals--background--semantic--info--tertiary) !important;
+          color: var(--c--contextuals--content--semantic--info--secondary) !important;
           span {
-            color: var(--c--theme--colors--info-600) !important;
+            color: var(--c--contextuals--content--semantic--info--secondary) !important;
           }
         }
       `}
     >
       <div style={{ flexShrink: 0 }}>{icon}</div>
       <Box $direction="column" $gap="xs">
-        <Text $weight="700" $size="sm" $color="greyscale-900">
+        <Text $weight="700" $size="sm">
           {title}
         </Text>
-        <Text $size="sm" $color="greyscale-600" style={{ lineHeight: '1.4' }}>
+        <Text $size="sm" style={{ lineHeight: '1.4' }}>
           {description}
         </Text>
       </Box>
@@ -172,25 +173,8 @@ export const InfoIcon = () => {
     >
       <path
         d="M12 15.5C12.2833 15.5 12.5208 15.4042 12.7125 15.2125C12.9042 15.0208 13 14.7833 13 14.5C13 14.2167 12.9042 13.9792 12.7125 13.7875C12.5208 13.5958 12.2833 13.5 12 13.5C11.7167 13.5 11.4792 13.5958 11.2875 13.7875C11.0958 13.9792 11 14.2167 11 14.5C11 14.7833 11.0958 15.0208 11.2875 15.2125C11.4792 15.4042 11.7167 15.5 12 15.5ZM11 11.5H13V5.5H11V11.5ZM2 22.5V4.5C2 3.95 2.19583 3.47917 2.5875 3.0875C2.97917 2.69583 3.45 2.5 4 2.5H20C20.55 2.5 21.0208 2.69583 21.4125 3.0875C21.8042 3.47917 22 3.95 22 4.5V16.5C22 17.05 21.8042 17.5208 21.4125 17.9125C21.0208 18.3042 20.55 18.5 20 18.5H6L2 22.5ZM5.15 16.5H20V4.5H4V17.625L5.15 16.5Z"
-        fill="#265eaa"
+        fill="currentColor"
       />
     </svg>
   );
 };
-
-// export const VisioIcon = () => {
-//   return (
-//     <svg
-//       width="42"
-//       height="43"
-//       viewBox="0 0 42 43"
-//       fill="none"
-//       xmlns="http://www.w3.org/2000/svg"
-//     >
-//       <path
-//         d="M14.1288 27.1205C13.8568 27.1205 13.6502 27.0399 13.5092 26.8787C13.3783 26.7074 13.3128 26.4908 13.3128 26.2289C13.3128 25.8562 13.4588 25.3676 13.751 24.7631C14.0431 24.1486 14.4814 23.5341 15.0656 22.9196C15.66 22.3051 16.4105 21.7913 17.3172 21.3783C18.2239 20.9552 19.2867 20.7436 20.5056 20.7436C21.7346 20.7436 22.7975 20.9552 23.694 21.3783C24.6007 21.7913 25.3512 22.3051 25.9456 22.9196C26.5399 23.5341 26.9832 24.1486 27.2754 24.7631C27.5675 25.3676 27.7136 25.8562 27.7136 26.2289C27.7136 26.4908 27.6431 26.7074 27.502 26.8787C27.3711 27.0399 27.1645 27.1205 26.8825 27.1205H14.1288ZM20.5056 19.6103C19.8407 19.6103 19.2363 19.439 18.6923 19.0965C18.1584 18.754 17.7302 18.2906 17.4079 17.7063C17.0855 17.1119 16.9243 16.442 16.9243 15.6965C16.9243 15.0014 17.0855 14.3617 17.4079 13.7774C17.7302 13.1931 18.1584 12.7297 18.6923 12.3872C19.2363 12.0346 19.8407 11.8583 20.5056 11.8583C21.1705 11.8583 21.7699 12.0346 22.3038 12.3872C22.8478 12.7297 23.281 13.1931 23.6034 13.7774C23.9257 14.3617 24.0869 15.0014 24.0869 15.6965C24.0869 16.442 23.9257 17.1119 23.6034 17.7063C23.281 18.2906 22.8478 18.754 22.3038 19.0965C21.7699 19.439 21.1705 19.6103 20.5056 19.6103ZM13.1465 38.1968C12.6227 38.1968 12.2147 38.0205 11.9226 37.6679C11.6405 37.3254 11.4994 36.862 11.4994 36.2777V32.3489H10.7741C9.27309 32.3489 8.0088 32.0819 6.98125 31.548C5.9537 31.004 5.17297 30.2182 4.63904 29.1907C4.1152 28.1631 3.85327 26.9089 3.85327 25.428V13.853C3.85327 12.3721 4.1152 11.1179 4.63904 10.0903C5.17297 9.06278 5.9537 8.28205 6.98125 7.74812C8.0088 7.20413 9.27309 6.93213 10.7741 6.93213H30.2371C31.7381 6.93213 33.0024 7.20413 34.03 7.74812C35.0575 8.28205 35.8332 9.06278 36.3571 10.0903C36.891 11.1179 37.158 12.3721 37.158 13.853V25.428C37.158 26.9089 36.891 28.1631 36.3571 29.1907C35.8332 30.2182 35.0575 31.004 34.03 31.548C33.0024 32.0819 31.7381 32.3489 30.2371 32.3489H20.5358L15.3225 36.9879C14.8692 37.3909 14.4864 37.6931 14.1741 37.8946C13.8618 38.0961 13.5193 38.1968 13.1465 38.1968ZM13.7661 35.4315L18.6016 30.6262C18.8837 30.3341 19.1557 30.1427 19.4176 30.052C19.6795 29.9613 20.0221 29.916 20.4452 29.916H30.2371C31.7583 29.916 32.8866 29.5382 33.622 28.7827C34.3574 28.017 34.7251 26.8938 34.7251 25.4129V13.853C34.7251 12.3822 34.3574 11.269 33.622 10.5134C32.8866 9.74782 31.7583 9.365 30.2371 9.365H10.7741C9.24287 9.365 8.10954 9.74782 7.37414 10.5134C6.64881 11.269 6.28615 12.3822 6.28615 13.853V25.4129C6.28615 26.8938 6.64881 28.017 7.37414 28.7827C8.10954 29.5382 9.24287 29.916 10.7741 29.916H12.6328C13.0458 29.916 13.338 30.0016 13.5092 30.1729C13.6805 30.3441 13.7661 30.6363 13.7661 31.0493V35.4315Z"
-//         fill="currentColor"
-//       />
-//     </svg>
-//   );
-// };

src/frontend/apps/conversations/src/features/footer/Footer.tsx

@@ -5,6 +5,7 @@ import styled, { css } from 'styled-components';
 
 import { Box, StyledLink, Text } from '@/components/';
 import { useConfig } from '@/core/config';
+import { useCunninghamTheme } from '@/cunningham';
 
 import { Title } from '../header';
 
@@ -15,7 +16,6 @@ const BlueStripe = styled.div`
   position: absolute;
   height: 2px;
   width: 100%;
-  background: var(--c--theme--colors--primary-600);
   top: 0;
 `;
 
@@ -24,8 +24,13 @@ export const Footer = () => {
   const footerJson = config?.theme_customization?.footer;
   const { i18n, t } = useTranslation();
   const resolvedLanguage = i18n.resolvedLanguage;
+  const { componentTokens } = useCunninghamTheme();
   const [content, setContent] = useState<ContentType>();
 
+  const themeLogo = (componentTokens as Record<string, unknown>).logo as
+    | { src: string; alt: string; widthHeader: string; widthFooter: string }
+    | undefined;
+
   useEffect(() => {
     if (!footerJson) {
       return;
@@ -34,7 +39,15 @@ export const Footer = () => {
     const langData = footerJson[resolvedLanguage as keyof typeof footerJson];
     const innerContent: ContentType = {};
 
-    innerContent.logo = langData?.logo || footerJson?.default?.logo;
+    // Use theme logo if available (for DSFR theme), otherwise use config logo
+    innerContent.logo = themeLogo?.src
+      ? {
+          src: themeLogo.src,
+          alt: themeLogo.alt,
+          width: themeLogo.widthFooter,
+          withTitle: false,
+        }
+      : langData?.logo || footerJson?.default?.logo;
     innerContent.legalLinks =
       langData?.legalLinks || footerJson?.default?.legalLinks;
     innerContent.externalLinks =
@@ -47,7 +60,7 @@ export const Footer = () => {
         : footerJson?.default?.bottomInformation;
 
     setContent(innerContent);
-  }, [footerJson, resolvedLanguage]);
+  }, [footerJson, resolvedLanguage, themeLogo]);
 
   const { logo, legalLinks, externalLinks, bottomInformation } = content || {};
 
@@ -115,12 +128,15 @@ export const Footer = () => {
                     gap:0.2rem;
                     transition: box-shadow 0.3s;
                     &:hover {
-                      box-shadow: 0px 2px 0 0 var(--c--theme--colors--greyscale-text);
+                      box-shadow: 0px 2px 0 0 var(--c--contextuals--content--semantic--neutral--tertiary);
                     }
                   `}
                 >
                   <Text $weight="bold">{label}</Text>
-                  <IconLink width={18} />
+                  <IconLink
+                    width={18}
+                    color="var(--c--contextuals--content--semantic--neutral--primary)"
+                  />
                 </StyledLink>
               ))}
           </Box>
@@ -151,13 +167,16 @@ export const Footer = () => {
                 `}
               >
                 <Text
-                  $variation="600"
+                  $variation="secondary"
                   $size="m"
+                  $theme="neutral"
                   $transition="box-shadow 0.3s"
                   $css={css`
                     &:hover {
                       box-shadow: 0px 2px 0 0
-                        var(--c--theme--colors--greyscale-text);
+                        var(
+                          --c--contextuals--content--semantic--neutral--tertiary
+                        );
                     }
                   `}
                 >
@@ -171,7 +190,8 @@ export const Footer = () => {
             as="p"
             $size="m"
             $margin={{ top: 'big' }}
-            $variation="600"
+            $variation="secondary"
+            $theme="neutral"
             $display="inline"
             className="--docs--footer-licence"
           >
@@ -183,12 +203,17 @@ export const Footer = () => {
                 $css={css`
                   display: inline-flex;
                   box-shadow: 0px 1px 0 0
-                    var(--c--theme--colors--greyscale-text);
+                    var(--c--contextuals--content--semantic--neutral--tertiary);
                   gap: 0.2rem;
                 `}
               >
-                <Text $variation="600">{bottomInformation.link.label}</Text>
-                <IconLink width={14} />
+                <Text $variation="tertiary" $theme="neutral">
+                  {bottomInformation.link.label}
+                </Text>
+                <IconLink
+                  width={14}
+                  color="var(--c--contextuals--content--semantic--neutral--primary)"
+                />
               </StyledLink>
             )}
           </Text>