🐛(frontend) fix inverted keyboard shortcuts for video and microphone

Correct accidentally swapped keyboard shortcuts between video and
microphone toggle controls introduced during device component
refactoring, restoring expected shortcut behavior reported by users.

docs/openapi.yaml

@@ -7,7 +7,7 @@ info:
     
     #### Authentication Flow
     
-    1. Exchange application credentials for a JWT token via `/external-api/v1.0/application/token`.
+    1. Exchange application credentials for a JWT token via `/external-api/v1.0/applications/token`.
     2. Use the JWT token in the `Authorization: Bearer <token>` header for all subsequent requests.
     3. Tokens are scoped and allow applications to act on behalf of specific users.
     
@@ -40,7 +40,7 @@ tags:
     description: Room management operations
 
 paths:
-  /application/token:
+  /applications/token:
     post:
       tags:
         - Authentication
@@ -283,7 +283,7 @@ components:
       scheme: bearer
       bearerFormat: JWT
       description: |
-        JWT token obtained from the `/application/token` endpoint.
+        JWT token obtained from the `/applications/token` endpoint.
         Include in requests as: `Authorization: Bearer <token>`
 
   schemas:

env.d/development/summary.dist

@@ -11,11 +11,10 @@ AWS_S3_SECRET_ACCESS_KEY="password"
 WHISPERX_BASE_URL="https://configure-your-url.com"
 WHISPERX_ASR_MODEL="large-v2"
 WHISPERX_API_KEY="your-secret-key"
-WHISPERX_DEFAULT_LANGUAGE="fr"
 
 LLM_BASE_URL="https://configure-your-url.com"
 LLM_API_KEY="dev-apikey"
-LLM_MODEL="albert-large"
+LLM_MODEL="Qwen/Qwen2.5-Coder-32B-Instruct-AWQ"
 
 WEBHOOK_API_TOKEN="secret"
 WEBHOOK_URL="https://configure-your-url.com"

src/agents/pyproject.toml

@@ -1,7 +1,7 @@
 
 [project]
 name = "agents"
-version = "0.1.40"
+version = "0.1.39"
 requires-python = ">=3.12"
 dependencies = [
     "livekit-agents==1.2.6",

src/backend/core/authentication/livekit.py

@@ -30,7 +30,7 @@ class LiveKitTokenAuthentication(authentication.BaseAuthentication):
                 raise exceptions.AuthenticationFailed("Token missing user identity")
 
             try:
-                user = UserModel.objects.get(sub=user_id)
+                user = UserModel.objects.get(id=user_id)
             except UserModel.DoesNotExist:
                 user = AnonymousUser()
 

src/backend/core/services/livekit_events.py

@@ -2,7 +2,6 @@
 
 # pylint: disable=no-member
 
-import re
 import uuid
 from enum import Enum
 from logging import getLogger
@@ -93,17 +92,6 @@ class LiveKitEventsService:
         self.telephony_service = TelephonyService()
         self.recording_events = RecordingEventsService()
 
-        self._filter_regex = None
-        if settings.LIVEKIT_WEBHOOK_EVENTS_FILTER_REGEX:
-            try:
-                self._filter_regex = re.compile(
-                    settings.LIVEKIT_WEBHOOK_EVENTS_FILTER_REGEX
-                )
-            except re.error:
-                logger.exception(
-                    "Invalid LIVEKIT_WEBHOOK_EVENTS_FILTER_REGEX. Webhook filtering disabled."
-                )
-
     def receive(self, request):
         """Process webhook and route to appropriate handler."""
 
@@ -118,10 +106,6 @@ class LiveKitEventsService:
         except Exception as e:
             raise InvalidPayloadError("Invalid webhook payload") from e
 
-        if self._filter_regex and not self._filter_regex.search(data.room.name):
-            logger.info("Filtered webhook event for room '%s'", data.room.name)
-            return
-
         try:
             webhook_type = LiveKitWebhookEventType(data.event)
         except ValueError as e:

src/backend/core/tests/services/test_livekit_events.py

@@ -343,99 +343,3 @@ def test_receive_unsupported_event(mock_receive, service):
         UnsupportedEventTypeError, match="Unknown webhook type: unsupported_event"
     ):
         service.receive(mock_request)
-
-
-@mock.patch.object(api.WebhookReceiver, "receive")
-@mock.patch.object(LiveKitEventsService, "_handle_room_started")
-def test_receive_no_filter_processes_all_events(
-    mock_handle_room_started, mock_receive, mock_livekit_config, settings
-):
-    """Should process all events when filter regex is not configured."""
-    settings.LIVEKIT_WEBHOOK_EVENTS_FILTER_REGEX = None
-
-    mock_request = mock.MagicMock()
-    mock_request.headers = {"Authorization": "test_token"}
-    mock_request.body = b"{}"
-
-    mock_data = mock.MagicMock()
-    mock_data.room.name = "!JIfCxVLcKKkWrmVBOb:your-domain.com"
-    mock_data.event = "room_started"
-    mock_receive.return_value = mock_data
-
-    service = LiveKitEventsService()
-    service.receive(mock_request)
-
-    mock_handle_room_started.assert_called_once()
-
-
-@mock.patch.object(api.WebhookReceiver, "receive")
-@mock.patch.object(LiveKitEventsService, "_handle_room_started")
-def test_receive_invalid_filter_regex_processes_all_events(
-    mock_handle_room_started, mock_receive, mock_livekit_config, settings
-):
-    """Should process all events when filter regex is invalid (fail-safe)."""
-    settings.LIVEKIT_WEBHOOK_EVENTS_FILTER_REGEX = "(abc"
-
-    mock_request = mock.MagicMock()
-    mock_request.headers = {"Authorization": "test_token"}
-    mock_request.body = b"{}"
-
-    mock_data = mock.MagicMock()
-    mock_data.room.name = "!JIfCxVLcKKkWrmVBOb:your-domain.com"
-    mock_data.event = "room_started"
-    mock_receive.return_value = mock_data
-
-    service = LiveKitEventsService()
-    service.receive(mock_request)
-
-    mock_handle_room_started.assert_called_once()
-
-
-@mock.patch.object(api.WebhookReceiver, "receive")
-@mock.patch.object(LiveKitEventsService, "_handle_room_started")
-def test_receive_filter_drops_non_matching_events(
-    mock_handle_room_started, mock_receive, mock_livekit_config, settings
-):
-    """Should drop events when room name does not match filter regex."""
-    settings.LIVEKIT_WEBHOOK_EVENTS_FILTER_REGEX = (
-        r"[0-9a-f]{8}-[0-9a-f]{4}-[0-9a-f]{4}-[0-9a-f]{4}-[0-9a-f]{12}"
-    )
-
-    mock_request = mock.MagicMock()
-    mock_request.headers = {"Authorization": "test_token"}
-    mock_request.body = b"{}"
-
-    mock_data = mock.MagicMock()
-    mock_data.room.name = "!JIfCxVLcKKkWrmVBOb:your-domain.com"
-    mock_data.event = "room_started"
-    mock_receive.return_value = mock_data
-
-    service = LiveKitEventsService()
-    service.receive(mock_request)
-
-    mock_handle_room_started.assert_not_called()
-
-
-@mock.patch.object(api.WebhookReceiver, "receive")
-@mock.patch.object(LiveKitEventsService, "_handle_room_started")
-def test_receive_filter_processes_matching_events(
-    mock_handle_room_started, mock_receive, mock_livekit_config, settings
-):
-    """Should process events when room name matches filter regex."""
-    settings.LIVEKIT_WEBHOOK_EVENTS_FILTER_REGEX = (
-        r"[0-9a-f]{8}-[0-9a-f]{4}-[0-9a-f]{4}-[0-9a-f]{4}-[0-9a-f]{12}"
-    )
-
-    mock_request = mock.MagicMock()
-    mock_request.headers = {"Authorization": "test_token"}
-    mock_request.body = b"{}"
-
-    mock_data = mock.MagicMock()
-    mock_data.room.name = str(uuid.uuid4())
-    mock_data.event = "room_started"
-    mock_receive.return_value = mock_data
-
-    service = LiveKitEventsService()
-    service.receive(mock_request)
-
-    mock_handle_room_started.assert_called_once()

src/backend/meet/settings.py

@@ -517,10 +517,6 @@ class Base(Configuration):
     LIVEKIT_VERIFY_SSL = values.BooleanValue(
         True, environ_name="LIVEKIT_VERIFY_SSL", environ_prefix=None
     )
-    # Regex to filter webhook events by room name. Only matching events are processed.
-    LIVEKIT_WEBHOOK_EVENTS_FILTER_REGEX = values.Value(
-        None, environ_name="LIVEKIT_WEBHOOK_EVENTS_FILTER_REGEX", environ_prefix=None
-    )
     RESOURCE_DEFAULT_ACCESS_LEVEL = values.Value(
         "public", environ_name="RESOURCE_DEFAULT_ACCESS_LEVEL", environ_prefix=None
     )

src/backend/pyproject.toml

@@ -7,7 +7,7 @@ build-backend = "setuptools.build_meta"
 
 [project]
 name = "meet"
-version = "0.1.40"
+version = "0.1.39"
 authors = [{ "name" = "DINUM", "email" = "dev@mail.numerique.gouv.fr" }]
 classifiers = [
     "Development Status :: 5 - Production/Stable",

src/frontend/package-lock.json

@@ -1,12 +1,12 @@
 {
   "name": "meet",
-  "version": "0.1.40",
+  "version": "0.1.39",
   "lockfileVersion": 3,
   "requires": true,
   "packages": {
     "": {
       "name": "meet",
-      "version": "0.1.40",
+      "version": "0.1.39",
       "dependencies": {
         "@livekit/components-react": "2.9.13",
         "@livekit/components-styles": "1.1.6",

src/frontend/package.json

@@ -1,7 +1,7 @@
 {
   "name": "meet",
   "private": true,
-  "version": "0.1.40",
+  "version": "0.1.39",
   "type": "module",
   "scripts": {
     "dev": "panda codegen && vite",

src/helm/env.d/dev-keycloak/values.meet.yaml.gotmpl

@@ -155,7 +155,6 @@ summary:
     WHISPERX_API_KEY: your-secret-value
     WHISPERX_BASE_URL: https://configure-your-url.com
     WHISPERX_ASR_MODEL: large-v2
-    WHISPERX_DEFAULT_LANGUAGE: fr
     LLM_BASE_URL: https://configure-your-url.com
     LLM_API_KEY: your-secret-value
     LLM_MODEL: meta-llama/Llama-3.1-8B-Instruct
@@ -192,7 +191,6 @@ celeryTranscribe:
     WHISPERX_API_KEY: your-secret-value
     WHISPERX_BASE_URL: https://configure-your-url.com
     WHISPERX_ASR_MODEL: large-v2
-    WHISPERX_DEFAULT_LANGUAGE: fr
     LLM_BASE_URL: https://configure-your-url.com
     LLM_API_KEY: your-secret-value
     LLM_MODEL: meta-llama/Llama-3.1-8B-Instruct
@@ -230,7 +228,6 @@ celerySummarize:
     WHISPERX_API_KEY: your-secret-value
     WHISPERX_BASE_URL: https://configure-your-url.com
     WHISPERX_ASR_MODEL: large-v2
-    WHISPERX_DEFAULT_LANGUAGE: fr
     LLM_BASE_URL: https://configure-your-url.com
     LLM_API_KEY: your-secret-value
     LLM_MODEL: meta-llama/Llama-3.1-8B-Instruct

src/helm/meet/Chart.yaml

@@ -1,4 +1,4 @@
 apiVersion: v2
 type: application
 name: meet
-version: 0.0.14
+version: 0.0.13-beta.1

src/helm/meet/values.yaml

@@ -428,13 +428,6 @@ posthog:
 ## @section summary
 
 summary:
-  ## @param summary.image.repository Repository to use to pull meet's summary container image
-  ## @param summary.image.tag meet's summary container tag
-  ## @param summary.image.pullPolicy summary container image pull policy
-  image:
-    repository: lasuite/meet-summary
-    pullPolicy: IfNotPresent
-    tag: "latest"
 
   ## @param summary.dpAnnotations Annotations to add to the summary Deployment
   dpAnnotations: {}
@@ -534,27 +527,11 @@ summary:
 ## @section celeryTranscribe
 
 celeryTranscribe:
-  ## @param celeryTranscribe.image.repository Repository to use to pull meet's celeryTranscribe container image
-  ## @param celeryTranscribe.image.tag meet's celeryTranscribe container tag
-  ## @param celeryTranscribe.image.pullPolicy celeryTranscribe container image pull policy
-  image:
-    repository: lasuite/meet-summary
-    pullPolicy: IfNotPresent
-    tag: "latest"
-
   ## @param celeryTranscribe.dpAnnotations Annotations to add to the celeryTranscribe Deployment
   dpAnnotations: {}
 
   ## @param celeryTranscribe.command Override the celeryTranscribe container command
-  command:
-    - "celery"
-    - "-A"
-    - "summary.core.celery_worker"
-    - "worker"
-    - "--pool=solo"
-    - "--loglevel=info"
-    - "-Q"
-    - "transcribe-queue"
+  command: []
 
   ## @param celeryTranscribe.args Override the celeryTranscribe container args
   args: []
@@ -643,27 +620,11 @@ celeryTranscribe:
 ## @section celerySummarize
 
 celerySummarize:
-  ## @param celerySummarize.image.repository Repository to use to pull meet's celerySummarize container image
-  ## @param celerySummarize.image.tag meet's celerySummarize container tag
-  ## @param celerySummarize.image.pullPolicy celerySummarize container image pull policy
-  image:
-    repository: lasuite/meet-summary
-    pullPolicy: IfNotPresent
-    tag: "latest"
-
   ## @param celerySummarize.dpAnnotations Annotations to add to the celerySummarize Deployment
   dpAnnotations: {}
 
   ## @param celerySummarize.command Override the celerySummarize container command
-  command:
-    - "celery"
-    - "-A"
-    - "summary.core.celery_worker"
-    - "worker"
-    - "--pool=solo"
-    - "--loglevel=info"
-    - "-Q"
-    - "summarize-queue"
+  command: []
 
   ## @param celerySummarize.args Override the celerySummarize container args
   args: []

src/mail/package-lock.json

@@ -1,12 +1,12 @@
 {
   "name": "mail_mjml",
-  "version": "0.1.40",
+  "version": "0.1.39",
   "lockfileVersion": 3,
   "requires": true,
   "packages": {
     "": {
       "name": "mail_mjml",
-      "version": "0.1.40",
+      "version": "0.1.39",
       "license": "MIT",
       "dependencies": {
         "@html-to/text-cli": "0.5.4",

src/mail/package.json

@@ -1,6 +1,6 @@
 {
   "name": "mail_mjml",
-  "version": "0.1.40",
+  "version": "0.1.39",
   "description": "An util to generate html and text django's templates from mjml templates",
   "type": "module",
   "dependencies": {

src/sdk/package-lock.json

@@ -1,12 +1,12 @@
 {
   "name": "sdk",
-  "version": "0.1.40",
+  "version": "0.1.39",
   "lockfileVersion": 3,
   "requires": true,
   "packages": {
     "": {
       "name": "sdk",
-      "version": "0.1.40",
+      "version": "0.1.39",
       "license": "ISC",
       "workspaces": [
         "./library",

src/sdk/package.json

@@ -1,6 +1,6 @@
 {
   "name": "sdk",
-  "version": "0.1.40",
+  "version": "0.1.39",
   "author": "",
   "license": "ISC",
   "description": "",

src/summary/pyproject.toml

@@ -1,7 +1,7 @@
 
 [project]
 name = "summary"
-version = "0.1.40"
+version = "0.1.39"
 dependencies = [
     "fastapi[standard]>=0.105.0",
     "uvicorn>=0.24.0",

src/summary/summary/core/celery_worker.py

@@ -7,7 +7,7 @@ import os
 import tempfile
 import time
 from pathlib import Path
-from typing import Any, Mapping, Optional
+from typing import Optional
 
 import openai
 import sentry_sdk
@@ -22,8 +22,6 @@ from urllib3.util import Retry
 from summary.core.analytics import MetadataManager, get_analytics
 from summary.core.config import get_settings
 from summary.core.prompt import (
-    FORMAT_NEXT_STEPS,
-    FORMAT_PLAN,
     PROMPT_SYSTEM_CLEANING,
     PROMPT_SYSTEM_NEXT_STEP,
     PROMPT_SYSTEM_PART,
@@ -117,53 +115,24 @@ class LLMService:
             base_url=settings.llm_base_url, api_key=settings.llm_api_key
         )
 
-    def call(
-        self,
-        system_prompt: str,
-        user_prompt: str,
-        response_format: Optional[Mapping[str, Any]] = None,
-    ):
+    def call(self, system_prompt: str, user_prompt: str):
         """Call the LLM service.
 
         Takes a system prompt and a user prompt, and returns the LLM's response
         Returns None if the call fails.
         """
         try:
-            params: dict[str, Any] = {
-                "model": settings.llm_model,
-                "messages": [
+            response = self._client.chat.completions.create(
+                model=settings.llm_model,
+                messages=[
                     {"role": "system", "content": system_prompt},
                     {"role": "user", "content": user_prompt},
                 ],
-            }
-            if response_format is not None:
-                params["response_format"] = response_format
-
-            response = self._client.chat.completions.create(**params)
-
+            )
             return response.choices[0].message.content
-
         except Exception as e:
-            logger.exception("LLM call failed: %s", e)
-            raise LLMException("LLM call failed: {e}") from e
-
-
-def format_actions(llm_output: dict) -> str:
-    """Format the actions from the LLM output into a markdown list.
-
-    fomat:
-    - [ ] Action title Assignée à : assignee1, assignee2, Échéance : due_date
-    """
-    lines = []
-    for action in llm_output.get("actions", []):
-        title = action.get("title", "").strip()
-        assignees = ", ".join(action.get("assignees", [])) or "-"
-        due_date = action.get("due_date") or "-"
-        line = f"- [ ] {title} Assignée à : {assignees}, Échéance : {due_date}"
-        lines.append(line)
-    if lines:
-        return "### Prochaines étapes\n\n" + "\n".join(lines)
-    return ""
+            logger.error("LLM call failed: %s", e)
+            raise LLMException("LLM call failed.") from e
 
 
 def format_segments(transcription_data):
@@ -208,6 +177,25 @@ def post_with_retries(url, data):
         session.close()
 
 
+@signals.task_prerun.connect
+def task_started(task_id=None, task=None, args=None, **kwargs):
+    """Signal handler called before task execution begins."""
+    task_args = args or []
+    metadata_manager.create(task_id, task_args)
+
+
+@signals.task_retry.connect
+def task_retry_handler(request=None, reason=None, einfo=None, **kwargs):
+    """Signal handler called when task execution retries."""
+    metadata_manager.retry(request.id)
+
+
+@signals.task_failure.connect
+def task_failure_handler(task_id, exception=None, **kwargs):
+    """Signal handler called when task execution fails permanently."""
+    metadata_manager.capture(task_id, settings.posthog_event_failure)
+
+
 @celery.task(
     bind=True,
     autoretry_for=[exceptions.HTTPError],
@@ -282,9 +270,7 @@ def process_audio_transcribe_summarize_v2(
         transcription_start_time = time.time()
         with open(temp_file_path, "rb") as audio_file:
             transcription = whisperx_client.audio.transcriptions.create(
-                model=settings.whisperx_asr_model,
-                file=audio_file,
-                language=settings.whisperx_default_language,
+                model=settings.whisperx_asr_model, file=audio_file
             )
             metadata_manager.track(
                 task_id,
@@ -347,25 +333,6 @@ def process_audio_transcribe_summarize_v2(
         logger.info("Summary generation not enabled for this user.")
 
 
-@signals.task_prerun.connect(sender=process_audio_transcribe_summarize_v2)
-def task_started(task_id=None, task=None, args=None, **kwargs):
-    """Signal handler called before task execution begins."""
-    task_args = args or []
-    metadata_manager.create(task_id, task_args)
-
-
-@signals.task_retry.connect(sender=process_audio_transcribe_summarize_v2)
-def task_retry_handler(request=None, reason=None, einfo=None, **kwargs):
-    """Signal handler called when task execution retries."""
-    metadata_manager.retry(request.id)
-
-
-@signals.task_failure.connect(sender=process_audio_transcribe_summarize_v2)
-def task_failure_handler(task_id, exception=None, **kwargs):
-    """Signal handler called when task execution fails permanently."""
-    metadata_manager.capture(task_id, settings.posthog_event_failure)
-
-
 @celery.task(
     bind=True,
     autoretry_for=[LLMException, Exception],
@@ -390,14 +357,13 @@ def summarize_transcription(self, transcript: str, email: str, sub: str, title:
 
     logger.info("TLDR generated")
 
-    parts = llm_service.call(
-        PROMPT_SYSTEM_PLAN, transcript, response_format=FORMAT_PLAN
-    )
+    parts = llm_service.call(PROMPT_SYSTEM_PLAN, transcript)
     logger.info("Plan generated")
 
-    res = json.loads(parts)
-    parts = res.get("titles", [])
-    logger.info("Parts to summarize: %s", parts)
+    parts = parts.split("\n")
+    parts = [x for x in parts if x.strip() != ""]
+    logger.info("Empty parts removed")
+
     parts_summarized = []
     for part in parts:
         prompt_user_part = PROMPT_USER_PART.format(part=part, transcript=transcript)
@@ -408,12 +374,7 @@ def summarize_transcription(self, transcript: str, email: str, sub: str, title:
 
     raw_summary = "\n\n".join(parts_summarized)
 
-    next_steps = llm_service.call(
-        PROMPT_SYSTEM_NEXT_STEP, transcript, response_format=FORMAT_NEXT_STEPS
-    )
-
-    next_steps = format_actions(json.loads(next_steps))
-
+    next_steps = llm_service.call(PROMPT_SYSTEM_NEXT_STEP, transcript)
     logger.info("Next steps generated")
 
     cleaned_summary = llm_service.call(PROMPT_SYSTEM_CLEANING, raw_summary)

src/summary/summary/core/config.py

@@ -39,8 +39,6 @@ class Settings(BaseSettings):
     whisperx_base_url: str = "https://api.openai.com/v1"
     whisperx_asr_model: str = "whisper-1"
     whisperx_max_retries: int = 0
-    # ISO 639-1 language code (e.g., "en", "fr", "es")
-    whisperx_default_language: Optional[str] = None
     llm_base_url: str
     llm_api_key: str
     llm_model: str

src/summary/summary/core/prompt.py

@@ -4,8 +4,12 @@ PROMPT_SYSTEM_TLDR = """Tu es un agent dont le rôle est de créer un TL;DR (ré
 ### Résumé TL;DR
 [Résumé concis et structuré]"""
 
-PROMPT_SYSTEM_PLAN = """Ta tâche est de diviser le contenu du transcript en sujets concrets correspondant aux grands axes discutés durant la réunion. Ne crée pas de catégories génériques. Les titres doivent être courts, précis et représentatifs des échanges. Veille à ce que chaque sujet soit distinct et qu’aucun thème ne soit répété. Tu te limiteras à 5 ou 6 sujets maximum. 
-L'introduction, ordre du jour, conclusion, etc. seront rajoutés a posteriori. Si il n'y a pas de sujets clairs, réponds "Général".
+PROMPT_SYSTEM_PLAN = """Ta tâche est de diviser le contenu du transcript en sujets concrets correspondant aux grands axes discutés durant la réunion. Ne crée pas de catégories génériques. Les titres doivent être courts, précis et représentatifs des échanges. Veille à ce que chaque sujet soit distinct et qu’aucun thème ne soit répété. Tu te limiteras à 5 ou 6 sujets maximum.
+L'introduction, ordre du jour, conclusion, etc. seront rajoutés a posteriori. Tu répondras dans le format suivant sans rien ajouter d'autre:
+"Titre du sujet 1
+Titre du sujet 2
+Titre du sujet 3
+..."
 """
 
 PROMPT_SYSTEM_PART = """Tu es un agent dont le rôle est de créer une partie du résumé d'un compte rendu de réunion. Tu utiliseras un style synthétique, administratif, à la troisième personne, sans affect. Tu recevras en entrée le transcript, et le titre du sujet correspondant. Ta tâche est de rédiger un résumé concis de cette partie et uniquement cette partie, en te concentrant uniquement sur les informations essentielles et pertinentes. Le résumé de chaque partie doit tenir en 4 à 6 phrases maximum, sans entrer dans les détails mineurs. Tu répondras dans le format suivant :
@@ -19,53 +23,6 @@ Transcript complet :
 
 PROMPT_SYSTEM_CLEANING = """Tu es un agent dont le rôle est de nettoyer un résumé de compte rendu de réunion. Tu recevras en entrée le résumé brut, potentiellement avec des erreurs de formatage, des incohérences ou des redondances. Ta tâche est de corriger les erreurs de formatage, d'améliorer la clarté et la cohérence du texte, et de t'assurer que le résumé est bien structuré et facile à lire. Ton but principal est de retirer les redondances et les répétitions. Assure la cohérence entre les titres et homogénéise le style d’écriture entre les parties. Supprime les doublons d’informations entre les parties si présents. Si certaines parties sont plus secondaires, tu peux les fusionner ou les réduire en 1 à 2 phrases. Mets en avant les points centraux qui ont fait l’objet de décisions ou d’actions. Tu répondras uniquement avec le résumé sans rien ajouter d'autre"""
 
-PROMPT_SYSTEM_NEXT_STEP = """Tu es un agent dont le rôle est d'extraire les prochaines étapes d'un transcript de réunion. Tu utiliseras un style synthétique, administratif, à la troisième personne, sans affect. Tu recevras en entrée le transcript. Ta tâche est d'identifier et de lister toutes les actions à entreprendre, en indiquant la ou les personnes assignées et en précisant les échéances si elles sont mentionnées. Ne retiens que les actions concrètes et à venir. Ignore les remarques générales ou les constats sans suite."""
-
-FORMAT_NEXT_STEPS = {
-    "type": "json_schema",
-    "json_schema": {
-        "name": "actions",
-        "schema": {
-            "type": "object",
-            "properties": {
-                "actions": {
-                    "type": "array",
-                    "items": {
-                        "type": "object",
-                        "properties": {
-                            "title": {"type": "string"},
-                            "assignees": {
-                                "type": "array",
-                                "items": {"type": "string"},
-                                "description": "Noms des personnes assignées",
-                            },
-                            "due_date": {
-                                "type": "string",
-                                "description": "Date d'échéance si mentionnée (si l'année nest pas précisée, ne pas l'ajouter)",
-                            },
-                        },
-                        "required": ["title", "assignees"],
-                        "additionalProperties": False,
-                    },
-                }
-            },
-            "required": ["actions"],
-            "additionalProperties": False,
-        },
-        "strict": True,
-    },
-}
-
-FORMAT_PLAN = {
-    "type": "json_schema",
-    "json_schema": {
-        "name": "Titles",
-        "schema": {
-            "type": "object",
-            "properties": {"titles": {"type": "array", "items": {"type": "string"}}},
-            "required": ["titles"],
-            "additionalProperties": False,
-        },
-        "strict": True,
-    },
-}
+PROMPT_SYSTEM_NEXT_STEP = """Tu es un agent dont le rôle est d'extraire les prochaines étapes d'un transcript de réunion. Tu utiliseras un style synthétique, administratif, à la troisième personne, sans affect. Tu recevras en entrée le transcript. Ta tâche est d'identifier et de lister toutes les actions à entreprendre, en indiquant la ou les personnes assignées et en précisant les échéances si elles sont mentionnées. Ne retiens que les actions concrètes et à venir. Ignore les remarques générales ou les constats sans suite. Les actions doivent suivre ce format strict :
+### Prochaines étapes
+- [ ] [Action à effectuer] Assignée à : [Nom], Échéance : [Date si mentionnée]"""