diff --git a/.chainlit/config.toml b/.chainlit/config.toml
index 2aee2e2..e2c7032 100644
--- a/.chainlit/config.toml
+++ b/.chainlit/config.toml
@@ -9,15 +9,15 @@ user_env = []
 # Duration (in seconds) during which the session is saved when the connection is lost
 session_timeout = 3600
 
+# Duration (in seconds) of the user session expiry
+user_session_timeout = 1296000  # 15 days
+
 # Enable third parties caching (e.g LangChain cache)
 cache = false
 
 # Authorized origins
 allow_origins = ["*"]
 
-# Follow symlink for asset mount (see https://github.com/Chainlit/chainlit/issues/317)
-# follow_symlink = false
-
 [features]
 # Process and display HTML in messages. This can be a security risk (see https://stackoverflow.com/questions/19603097/why-is-it-dangerous-to-render-user-generated-html-or-javascript)
 unsafe_allow_html = true
@@ -39,29 +39,20 @@ edit_message = true
     max_size_mb = 500
 
 [features.audio]
-    # Threshold for audio recording
-    min_decibels = -45
-    # Delay for the user to start speaking in MS
-    initial_silence_timeout = 3000
-    # Delay for the user to continue speaking in MS. If the user stops speaking for this duration, the recording will stop.
-    silence_timeout = 1500
-    # Above this duration (MS), the recording will forcefully stop.
-    max_duration = 15000
-    # Duration of the audio chunks in MS
-    chunk_duration = 1000
     # Sample rate of the audio
-    sample_rate = 44100
+    sample_rate = 24000
 
 [UI]
 # Name of the assistant.
 name = "React-to-me"
 
+# default_theme = "dark"
+
+# layout = "wide"
+
 # Description of the assistant. This is used for HTML tags.
 # description = ""
 
-# Large size content are by default collapsed for a cleaner ui
-default_collapse_content = true
-
 # Chain of Thought (CoT) display mode. Can be "hidden", "tool_call" or "full".
 cot = "hidden"
 
@@ -76,9 +67,6 @@ github = "https://github.com/reactome/reactome_chatbot/issues"
 # The Javascript file can be served from the public directory.
 # custom_js = "/public/test.js"
 
-# Specify a custom font url.
-# custom_font = "https://fonts.googleapis.com/css2?family=Inter:wght@400;500;700&display=swap"
-
 # Specify a custom meta image url.
 # custom_meta_image_url = "https://chainlit-cloud.s3.eu-west-3.amazonaws.com/logo/chainlit_banner.png"
 
@@ -87,35 +75,5 @@ github = "https://github.com/reactome/reactome_chatbot/issues"
 # Be careful: If this is a relative path, it should not start with a slash.
 # custom_build = "./public/build"
 
-[UI.theme]
-    default = "dark"
-    #layout = "wide"
-    #font_family = "Inter, sans-serif"
-# Override default MUI light theme. (Check theme.ts)
-[UI.theme.light]
-    #background = "#FAFAFA"
-    #paper = "#FFFFFF"
-
-    [UI.theme.light.primary]
-        main = "#2F9EC2"
-        dark = "#0F5462"
-        light = "#E1F4FC"
-    [UI.theme.light.text]
-        #primary = "#212121"
-        #secondary = "#616161"
-
-# Override default MUI dark theme. (Check theme.ts)
-[UI.theme.dark]
-    #background = "#FAFAFA"
-    #paper = "#FFFFFF"
-
-    [UI.theme.dark.primary]
-        main = "#2F9EC2"
-        dark = "#0F5462"
-        light = "#E1F4FC"
-    [UI.theme.dark.text]
-        #primary = "#EEEEEE"
-        #secondary = "#BDBDBD"
-
 [meta]
-generated_by = "1.3.1"
+generated_by = "2.0.3"
diff --git a/.config.schema.yaml b/.config.schema.yaml
new file mode 100644
index 0000000..34011a8
--- /dev/null
+++ b/.config.schema.yaml
@@ -0,0 +1,41 @@
+$schema: "https://json-schema.org/draft/2020-12/schema"
+type: object
+properties:
+  messages:
+    type: object
+    additionalProperties:
+      type: object
+      properties:
+        message:
+          type: string
+        enabled:
+          type: boolean
+        recipients:
+          type: array
+          items:
+            type: string
+            oneOf:
+              - pattern: "@.+\\..+"
+              - enum: ["all", "logged_in", "guests"]
+        trigger:
+          type: object
+          properties:
+            event:
+              type: string
+              enum: ["on_chat_start", "on_chat_end", "on_chat_resume", "on_message"]
+            after_messages:
+              type: integer
+            start:
+              type: string
+              format: date-time
+            end:
+              type: string
+              format: date-time
+            freq_max:
+              type: string
+              pattern: "^[0-9]+[smhdw]$"
+          anyOf:
+            - required: ["event"]
+            - required: ["after_messages"]
+      required: ["message", "trigger"]
+required: ["messages"]
diff --git a/.gitignore b/.gitignore
index 8b8e329..cea5f55 100644
--- a/.gitignore
+++ b/.gitignore
@@ -164,3 +164,4 @@ cython_debug/
 csv_files/
 embeddings/
 records/
+config.yml
diff --git a/bin/chat-chainlit.py b/bin/chat-chainlit.py
index 90d045c..40f1012 100644
--- a/bin/chat-chainlit.py
+++ b/bin/chat-chainlit.py
@@ -1,6 +1,7 @@
 #!/usr/bin/env python
 
 import os
+from typing import Any
 
 import chainlit as cl
 import chainlit.data as cl_data
@@ -10,10 +11,13 @@
 
 from conversational_chain.graph import RAGGraphWithMemory
 from retreival_chain import create_retrieval_chain
+from util.chainlit_helpers import static_messages
+from util.config_yml import Config, TriggerEvent
 from util.embedding_environment import EmbeddingEnvironment
 from util.logging import logging
 
 load_dotenv()
+config: Config | None = Config.from_yaml()
 
 ENV = os.getenv("CHAT_ENV", "reactome")
 logging.info(f"Selected environment: {ENV}")
@@ -58,29 +62,36 @@ async def chat_profile() -> list[cl.ChatProfile]:
 async def start() -> None:
     thread_id: str = cl.user_session.get("id")
     cl.user_session.set("thread_id", thread_id)
-
-    chat_profile: str = cl.user_session.get("chat_profile")
-    initial_message = (
-        f"Welcome to {chat_profile}, your interactive chatbot for exploring Reactome!"
-        " Ask me about biological pathways and processes."
-    )
-    await cl.Message(content=initial_message).send()
+    await static_messages(config, TriggerEvent.on_chat_start)
 
 
 @cl.on_chat_resume
 async def resume(thread: ThreadDict) -> None:
-    pass  # ChainLit/LangGraph Postgres integrations handle everything
+    await static_messages(config, TriggerEvent.on_chat_resume)
+
+
+@cl.on_chat_end
+async def end() -> None:
+    await static_messages(config, TriggerEvent.on_chat_end)
 
 
 @cl.on_message
 async def main(message: cl.Message) -> None:
+    await static_messages(config, TriggerEvent.on_message)
+
+    message_count: int = cl.user_session.get("message_count", 0) + 1
+    cl.user_session.set("message_count", message_count)
+
     thread_id: str = cl.user_session.get("thread_id")
     cb = cl.AsyncLangchainCallbackHandler(
         stream_final_answer=True,
         force_stream_final_answer=True,  # we're not using prefix tokens
     )
-    await llm_graph.ainvoke(
+    result: dict[str, Any] = await llm_graph.ainvoke(
         message.content,
         callbacks=[cb],
         thread_id=thread_id,
     )
+    if len(result["additional_text"]) > 0:
+        await cl.Message(content=result["additional_text"]).send()
+    await static_messages(config, after_messages=message_count)
diff --git a/bin/chat-fastapi.py b/bin/chat-fastapi.py
index 9ff4f89..eb4679c 100644
--- a/bin/chat-fastapi.py
+++ b/bin/chat-fastapi.py
@@ -1,11 +1,12 @@
 import hashlib
 import hmac
 import os
+from string import Template
 
 import requests
 from chainlit.utils import mount_chainlit
 from dotenv import load_dotenv
-from fastapi import FastAPI, HTTPException, Request, Response
+from fastapi import FastAPI, Request, Response
 from fastapi.responses import RedirectResponse
 
 load_dotenv()
@@ -17,6 +18,20 @@
 CLOUDFLARE_SECRET_KEY = os.getenv("CLOUDFLARE_SECRET_KEY")
 CLOUDFLARE_SITE_KEY = os.getenv("CLOUDFLARE_SITE_KEY")
 
+ERROR_PAGE_TEMPLATE = Template(
+    f"""
+<html>
+    <body>
+        <h1>$error_title</h1>
+        <p>If you believe this to be in error, please contact the maintainers to report an issue: help@reactome.org</p>
+        <form action="{CHAINLIT_URI}" method="get">
+            <button type="submit">Try again</button>
+        </form>
+    </body>
+</html>
+"""
+)
+
 
 def make_signature(value: str) -> str:
     if CLOUDFLARE_SECRET_KEY is None:
@@ -56,6 +71,10 @@ async def verify_captcha_middleware(request: Request, call_next):
         response = await call_next(request)
         return response
 
+    if request.url.scheme == "http":
+        url = request.url.replace(scheme="https")
+        return RedirectResponse(url=str(url))
+
     # Check if the user has completed the CAPTCHA verification
     captcha_verified = request.cookies.get("captcha_verified")
 
@@ -69,18 +88,14 @@ async def verify_captcha_middleware(request: Request, call_next):
 
 # Serve the CAPTCHA verification page (basic HTML form)
 @app.get(f"{CHAINLIT_URI}/verify_captcha_page")
-async def captcha_page(request: Request):
-
-    host = request.headers.get('X-Forwarded-Host', request.headers.get('Host'))
-    form_action = f"https://{host}{CHAINLIT_URI}/verify_captcha"
-
+async def captcha_page():
     html_content = f"""
     <html>
         <head>
             <script src="https://challenges.cloudflare.com/turnstile/v0/api.js" async defer></script>
         </head>
         <body>
-            <form id="captcha-form" action="{form_action}" method="post">
+            <form id="captcha-form" action="{CHAINLIT_URI}/verify_captcha" method="post">
                 <div class="cf-turnstile" data-sitekey="{os.getenv('CLOUDFLARE_SITE_KEY')}" data-callback="onSubmit"></div>
             </form>
             <script>
@@ -107,14 +122,28 @@ async def verify_captcha(request: Request):
     form_data = await request.form()
     cf_turnstile_response = form_data.get("cf-turnstile-response")
     if not isinstance(cf_turnstile_response, str):
-        raise HTTPException(status_code=400, detail="CAPTCHA response is invalid")
+        error_html = ERROR_PAGE_TEMPLATE.substitute(
+            error_title="CAPTCHA response is invalid",
+        )
+        return Response(content=error_html, media_type="text/html", status_code=400)
+
+    client_ip: str
+    if request.client:
+        client_ip = request.client.host
+    elif "X-Forwarded-For" in request.headers:
+        client_ip = request.headers["X-Forwarded-For"].split(",")[0]
+    else:
+        error_html = ERROR_PAGE_TEMPLATE.substitute(
+            error_title="Could not determine client host",
+        )
+        return Response(content=error_html, media_type="text/html", status_code=400)
 
     # Verify the CAPTCHA with Cloudflare
     url = "https://challenges.cloudflare.com/turnstile/v0/siteverify"
     data = {
         "secret": os.getenv("CLOUDFLARE_SECRET_KEY"),
         "response": cf_turnstile_response,
-        "remoteip": request.client.host if request.client else "127.0.0.1",
+        "remoteip": client_ip,
     }
 
     # Perform request to Cloudflare Turnstile verification endpoint
@@ -123,7 +152,10 @@ async def verify_captcha(request: Request):
 
     # If CAPTCHA validation fails, return an error
     if not result.get("success"):
-        raise HTTPException(status_code=400, detail="CAPTCHA verification failed")
+        error_html = ERROR_PAGE_TEMPLATE.substitute(
+            error_title="CAPTCHA verification failed",
+        )
+        return Response(content=error_html, media_type="text/html", status_code=400)
 
     # Set a signed cookie to mark CAPTCHA as verified
     cookie_value = create_secure_cookie(cf_turnstile_response)
diff --git a/bin/export_records.py b/bin/export_records.py
index 9ea8882..9382260 100644
--- a/bin/export_records.py
+++ b/bin/export_records.py
@@ -15,16 +15,27 @@ def build_query(since_timestamp: str | None) -> str:
     if since_timestamp is None:
         since_timestamp = ""
     query = f"""
-        SELECT "threadId", "createdAt", name, type, output
+        SELECT
+            steps."threadId",
+            steps."createdAt",
+            steps.name,
+            steps.type,
+            steps.output,
+            feedbacks.value,
+            feedbacks.comment
         FROM steps
+        LEFT JOIN
+            feedbacks ON steps."parentId" = feedbacks."forId"
         WHERE
-            type IN ('user_message', 'assistant_message') AND
-            "createdAt" > '{since_timestamp}'
-        ORDER BY (
-            SELECT MIN("createdAt")
-            FROM steps s
-            WHERE s."threadId" = steps."threadId"
-        ), "createdAt";
+            steps.type IN ('user_message', 'assistant_message') AND
+            steps."createdAt" > '{since_timestamp}'
+        ORDER BY
+            (
+                SELECT MIN(s."createdAt")
+                FROM steps s
+                WHERE s."threadId" = steps."threadId"
+            ),
+            steps."createdAt";
     """
     return query
 
@@ -47,6 +58,7 @@ def main(records_dir: Path):
     with psycopg.connect(CHAINLIT_DB_URI) as conn:
         with conn.cursor() as cur:
             cur.execute(query)
+            header = [col.name for col in cur.description] if cur.description else None
             records = cur.fetchall()
 
     if len(records) == 0:
@@ -59,7 +71,8 @@ def main(records_dir: Path):
 
     with open(record_file, mode="w", newline="") as file:
         writer = csv.writer(file, lineterminator="\n")
-        writer.writerow(["threadId", "createdAt", "name", "type", "output"])
+        if header:
+            writer.writerow(header)
         writer.writerows(records)
 
     print("Wrote", record_file)
diff --git a/config_default.yml b/config_default.yml
new file mode 100644
index 0000000..5f14007
--- /dev/null
+++ b/config_default.yml
@@ -0,0 +1,44 @@
+# yaml-language-server: $schema=./.config.schema.yaml
+
+messages:
+
+  welcome:
+    message: |-
+      Welcome to {chat_profile}, your interactive chatbot for exploring Reactome!
+      Ask me about biological pathways and processes.
+    trigger:
+      event: on_chat_start
+
+  demo-message:
+    message: |-
+      Hello!
+      This is an example message from the `./config.yml` file.
+      Static messages can be defined here and triggered by events.
+
+      **_Use an editor with YAML support for autocomplete and schema validation._**
+    enabled: false
+    trigger:
+      event: on_chat_start
+
+  after3-example:
+    message: |-
+      This message will be triggered after the 3rd message of a chat, until the end of Jan '25.
+      This message only sends to non-authenticated users and users logged in with their GMail account.
+    enabled: false
+    recipients:
+      - guests
+      - "*@gmail.com"
+    trigger:
+      start: 2025-01-01T00:00:00Z
+      end: 2025-02-01T00:00:00Z
+      after_messages: 3
+
+  every-message-example:
+    message: |-
+      Hi, {user_id}. This sends immediately after every message, at most once per minute.
+    enabled: false
+    recipients:
+      - logged_in
+    trigger:
+      event: on_message
+      freq_max: 1m
diff --git a/poetry.lock b/poetry.lock
index 179286b..d136639 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -13,98 +13,98 @@ files = [
 
 [[package]]
 name = "aiohappyeyeballs"
-version = "2.4.3"
+version = "2.4.4"
 description = "Happy Eyeballs for asyncio"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "aiohappyeyeballs-2.4.3-py3-none-any.whl", hash = "sha256:8a7a83727b2756f394ab2895ea0765a0a8c475e3c71e98d43d76f22b4b435572"},
-    {file = "aiohappyeyeballs-2.4.3.tar.gz", hash = "sha256:75cf88a15106a5002a8eb1dab212525c00d1f4c0fa96e551c9fbe6f09a621586"},
+    {file = "aiohappyeyeballs-2.4.4-py3-none-any.whl", hash = "sha256:a980909d50efcd44795c4afeca523296716d50cd756ddca6af8c65b996e27de8"},
+    {file = "aiohappyeyeballs-2.4.4.tar.gz", hash = "sha256:5fdd7d87889c63183afc18ce9271f9b0a7d32c2303e394468dd45d514a757745"},
 ]
 
 [[package]]
 name = "aiohttp"
-version = "3.11.8"
+version = "3.11.11"
 description = "Async http client/server framework (asyncio)"
 optional = false
 python-versions = ">=3.9"
 files = [
-    {file = "aiohttp-3.11.8-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:2d2ca685c6a851ce64e511fbcb906e4dd97d13e567ca7ecb5cb30b184e15dc6d"},
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+    {file = "aiohttp-3.11.11.tar.gz", hash = "sha256:bb49c7f1e6ebf3821a42d81d494f538107610c3a705987f53068546b0e90303e"},
 ]
 
 [package.dependencies]
@@ -121,13 +121,13 @@ speedups = ["Brotli", "aiodns (>=3.2.0)", "brotlicffi"]
 
 [[package]]
 name = "aiosignal"
-version = "1.3.1"
+version = "1.3.2"
 description = "aiosignal: a list of registered asynchronous callbacks"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.9"
 files = [
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+    {file = "aiosignal-1.3.2.tar.gz", hash = "sha256:a8c255c66fafb1e499c9351d0bf32ff2d8a0321595ebac3b93713656d2436f54"},
 ]
 
 [package.dependencies]
@@ -146,22 +146,23 @@ files = [
 
 [[package]]
 name = "anyio"
-version = "4.6.2.post1"
+version = "4.8.0"
 description = "High level compatibility layer for multiple asynchronous event loop implementations"
 optional = false
 python-versions = ">=3.9"
 files = [
-    {file = "anyio-4.6.2.post1-py3-none-any.whl", hash = "sha256:6d170c36fba3bdd840c73d3868c1e777e33676a69c3a72cf0a0d5d6d8009b61d"},
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+    {file = "anyio-4.8.0-py3-none-any.whl", hash = "sha256:b5011f270ab5eb0abf13385f851315585cc37ef330dd88e27ec3d34d651fd47a"},
+    {file = "anyio-4.8.0.tar.gz", hash = "sha256:1d9fe889df5212298c0c0723fa20479d1b94883a2df44bd3897aa91083316f7a"},
 ]
 
 [package.dependencies]
 idna = ">=2.8"
 sniffio = ">=1.1"
+typing_extensions = {version = ">=4.5", markers = "python_version < \"3.13\""}
 
 [package.extras]
-doc = ["Sphinx (>=7.4,<8.0)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx-rtd-theme"]
-test = ["anyio[trio]", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "truststore (>=0.9.1)", "uvloop (>=0.21.0b1)"]
+doc = ["Sphinx (>=7.4,<8.0)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx_rtd_theme"]
+test = ["anyio[trio]", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "trustme", "truststore (>=0.9.1)", "uvloop (>=0.21)"]
 trio = ["trio (>=0.26.1)"]
 
 [[package]]
@@ -257,19 +258,19 @@ test = ["distro (>=1.9.0,<1.10.0)", "flake8 (>=6.1,<7.0)", "flake8-pyi (>=24.1.0
 
 [[package]]
 name = "attrs"
-version = "24.2.0"
+version = "24.3.0"
 description = "Classes Without Boilerplate"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
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-    {file = "attrs-24.2.0.tar.gz", hash = "sha256:5cfb1b9148b5b086569baec03f20d7b6bf3bcacc9a42bebf87ffaaca362f6346"},
+    {file = "attrs-24.3.0-py3-none-any.whl", hash = "sha256:ac96cd038792094f438ad1f6ff80837353805ac950cd2aa0e0625ef19850c308"},
+    {file = "attrs-24.3.0.tar.gz", hash = "sha256:8f5c07333d543103541ba7be0e2ce16eeee8130cb0b3f9238ab904ce1e85baff"},
 ]
 
 [package.extras]
 benchmark = ["cloudpickle", "hypothesis", "mypy (>=1.11.1)", "pympler", "pytest (>=4.3.0)", "pytest-codspeed", "pytest-mypy-plugins", "pytest-xdist[psutil]"]
 cov = ["cloudpickle", "coverage[toml] (>=5.3)", "hypothesis", "mypy (>=1.11.1)", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"]
-dev = ["cloudpickle", "hypothesis", "mypy (>=1.11.1)", "pre-commit", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"]
+dev = ["cloudpickle", "hypothesis", "mypy (>=1.11.1)", "pre-commit-uv", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"]
 docs = ["cogapp", "furo", "myst-parser", "sphinx", "sphinx-notfound-page", "sphinxcontrib-towncrier", "towncrier (<24.7)"]
 tests = ["cloudpickle", "hypothesis", "mypy (>=1.11.1)", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"]
 tests-mypy = ["mypy (>=1.11.1)", "pytest-mypy-plugins"]
@@ -380,32 +381,32 @@ uvloop = ["uvloop (>=0.15.2)"]
 
 [[package]]
 name = "boto3"
-version = "1.35.71"
+version = "1.36.0"
 description = "The AWS SDK for Python"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "boto3-1.35.71-py3-none-any.whl", hash = "sha256:e2969a246bb3208122b3c349c49cc6604c6fc3fc2b2f65d99d3e8ccd745b0c16"},
-    {file = "boto3-1.35.71.tar.gz", hash = "sha256:3ed7172b3d4fceb6218bb0ec3668c4d40c03690939c2fca4f22bb875d741a07f"},
+    {file = "boto3-1.36.0-py3-none-any.whl", hash = "sha256:d0ca7a58ce25701a52232cc8df9d87854824f1f2964b929305722ebc7959d5a9"},
+    {file = "boto3-1.36.0.tar.gz", hash = "sha256:159898f51c2997a12541c0e02d6e5a8fe2993ddb307b9478fd9a339f98b57e00"},
 ]
 
 [package.dependencies]
-botocore = ">=1.35.71,<1.36.0"
+botocore = ">=1.36.0,<1.37.0"
 jmespath = ">=0.7.1,<2.0.0"
-s3transfer = ">=0.10.0,<0.11.0"
+s3transfer = ">=0.11.0,<0.12.0"
 
 [package.extras]
 crt = ["botocore[crt] (>=1.21.0,<2.0a0)"]
 
 [[package]]
 name = "botocore"
-version = "1.35.71"
+version = "1.36.0"
 description = "Low-level, data-driven core of boto 3."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "botocore-1.35.71-py3-none-any.whl", hash = "sha256:fc46e7ab1df3cef66dfba1633f4da77c75e07365b36f03bd64a3793634be8fc1"},
-    {file = "botocore-1.35.71.tar.gz", hash = "sha256:f9fa058e0393660c3fe53c1e044751beb64b586def0bd2212448a7c328b0cbba"},
+    {file = "botocore-1.36.0-py3-none-any.whl", hash = "sha256:b54b11f0cfc47fc1243ada0f7f461266c279968487616720fa8ebb02183917d7"},
+    {file = "botocore-1.36.0.tar.gz", hash = "sha256:0232029ff9ae3f5b50cdb25cbd257c16f87402b6d31a05bd6483638ee6434c4b"},
 ]
 
 [package.dependencies]
@@ -414,7 +415,7 @@ python-dateutil = ">=2.1,<3.0.0"
 urllib3 = {version = ">=1.25.4,<2.2.0 || >2.2.0,<3", markers = "python_version >= \"3.10\""}
 
 [package.extras]
-crt = ["awscrt (==0.22.0)"]
+crt = ["awscrt (==0.23.4)"]
 
 [[package]]
 name = "build"
@@ -452,24 +453,24 @@ files = [
 
 [[package]]
 name = "certifi"
-version = "2024.8.30"
+version = "2024.12.14"
 description = "Python package for providing Mozilla's CA Bundle."
 optional = false
 python-versions = ">=3.6"
 files = [
-    {file = "certifi-2024.8.30-py3-none-any.whl", hash = "sha256:922820b53db7a7257ffbda3f597266d435245903d80737e34f8a45ff3e3230d8"},
-    {file = "certifi-2024.8.30.tar.gz", hash = "sha256:bec941d2aa8195e248a60b31ff9f0558284cf01a52591ceda73ea9afffd69fd9"},
+    {file = "certifi-2024.12.14-py3-none-any.whl", hash = "sha256:1275f7a45be9464efc1173084eaa30f866fe2e47d389406136d332ed4967ec56"},
+    {file = "certifi-2024.12.14.tar.gz", hash = "sha256:b650d30f370c2b724812bee08008be0c4163b163ddaec3f2546c1caf65f191db"},
 ]
 
 [[package]]
 name = "chainlit"
-version = "1.3.2"
+version = "2.0.3"
 description = "Build Conversational AI."
 optional = false
 python-versions = "<4.0.0,>=3.9"
 files = [
-    {file = "chainlit-1.3.2-py3-none-any.whl", hash = "sha256:c0926e8b157a67aede511a8220307889d04e9458ff3f94176e004fe533662d74"},
-    {file = "chainlit-1.3.2.tar.gz", hash = "sha256:5562246ca42c858a42e86efdd5a46c27fd93481706f6fe47416109c47ac41b77"},
+    {file = "chainlit-2.0.3-py3-none-any.whl", hash = "sha256:d177b5e2e9cf55cb93a864e932cd30e6277aabdb11eb957a5f8f7111bc5275e8"},
+    {file = "chainlit-2.0.3.tar.gz", hash = "sha256:a312879420f470eeeffff27823c70a20cace1d32ff5bb4f103b537870fa8b0a0"},
 ]
 
 [package.dependencies]
@@ -481,14 +482,13 @@ fastapi = ">=0.115.3,<0.116"
 filetype = ">=1.2.0,<2.0.0"
 httpx = ">=0.23.0"
 lazify = ">=0.4.0,<0.5.0"
-literalai = "0.0.623"
+literalai = "0.1.103"
 nest-asyncio = ">=1.6.0,<2.0.0"
-numpy = ">=1.26,<2.0"
 packaging = ">=23.1,<24.0"
 pydantic = ">=1,<3"
 pyjwt = ">=2.8.0,<3.0.0"
 python-dotenv = ">=1.0.0,<2.0.0"
-python-multipart = ">=0.0.9,<0.0.10"
+python-multipart = ">=0.0.18,<0.0.19"
 python-socketio = ">=5.11.0,<6.0.0"
 starlette = ">=0.41.2,<0.42.0"
 syncer = ">=2.0.3,<3.0.0"
@@ -499,116 +499,103 @@ watchfiles = ">=0.20.0,<0.21.0"
 
 [[package]]
 name = "charset-normalizer"
-version = "3.4.0"
+version = "3.4.1"
 description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet."
 optional = false
-python-versions = ">=3.7.0"
+python-versions = ">=3.7"
 files = [
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 [[package]]
@@ -665,13 +652,13 @@ numpy = "*"
 
 [[package]]
 name = "chromadb"
-version = "0.5.20"
+version = "0.5.23"
 description = "Chroma."
 optional = false
 python-versions = ">=3.8"
 files = [
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@@ -698,21 +685,21 @@ pypika = ">=0.48.9"
 PyYAML = ">=6.0.0"
 rich = ">=10.11.0"
 tenacity = ">=8.2.3"
-tokenizers = ">=0.13.2"
+tokenizers = ">=0.13.2,<=0.20.3"
 tqdm = ">=4.65.0"
 typer = ">=0.9.0"
-typing-extensions = ">=4.5.0"
+typing_extensions = ">=4.5.0"
 uvicorn = {version = ">=0.18.3", extras = ["standard"]}
 
 [[package]]
 name = "click"
-version = "8.1.7"
+version = "8.1.8"
 description = "Composable command line interface toolkit"
 optional = false
 python-versions = ">=3.7"
 files = [
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 [package.dependencies]
@@ -813,13 +800,13 @@ files = [
 
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-version = "0.115.5"
+version = "0.115.6"
 description = "FastAPI framework, high performance, easy to learn, fast to code, ready for production"
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 python-versions = ">=3.8"
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 [package.dependencies]
@@ -860,13 +847,13 @@ files = [
 
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-version = "24.3.25"
+version = "24.12.23"
 description = "The FlatBuffers serialization format for Python"
 optional = false
 python-versions = "*"
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 [[package]]
@@ -972,13 +959,13 @@ files = [
 
 [[package]]
 name = "fsspec"
-version = "2024.10.0"
+version = "2024.12.0"
 description = "File-system specification"
 optional = false
 python-versions = ">=3.8"
 files = [
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 [package.extras]
@@ -1011,13 +998,13 @@ tqdm = ["tqdm"]
 
 [[package]]
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-version = "2.36.0"
+version = "2.37.0"
 description = "Google Authentication Library"
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 python-versions = ">=3.7"
 files = [
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 [package.dependencies]
@@ -1028,6 +1015,7 @@ rsa = ">=3.1.4,<5"
 [package.extras]
 aiohttp = ["aiohttp (>=3.6.2,<4.0.0.dev0)", "requests (>=2.20.0,<3.0.0.dev0)"]
 enterprise-cert = ["cryptography", "pyopenssl"]
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 pyopenssl = ["cryptography (>=38.0.3)", "pyopenssl (>=20.0.0)"]
 reauth = ["pyu2f (>=0.1.5)"]
 requests = ["requests (>=2.20.0,<3.0.0.dev0)"]
@@ -1137,70 +1125,70 @@ test = ["objgraph", "psutil"]
 
 [[package]]
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 description = "HTTP/2-based RPC framework"
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 python-versions = ">=3.8"
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 ]
 
 [[package]]
@@ -1631,20 +1620,20 @@ adal = ["adal (>=1.0.2)"]
 
 [[package]]
 name = "langchain"
-version = "0.3.9"
+version = "0.3.14"
 description = "Building applications with LLMs through composability"
 optional = false
 python-versions = "<4.0,>=3.9"
 files = [
-    {file = "langchain-0.3.9-py3-none-any.whl", hash = "sha256:ade5a1fee2f94f2e976a6c387f97d62cc7f0b9f26cfe0132a41d2bda761e1045"},
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 ]
 
 [package.dependencies]
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-langchain-core = ">=0.3.21,<0.4.0"
-langchain-text-splitters = ">=0.3.0,<0.4.0"
-langsmith = ">=0.1.17,<0.2.0"
+langchain-core = ">=0.3.29,<0.4.0"
+langchain-text-splitters = ">=0.3.3,<0.4.0"
+langsmith = ">=0.1.17,<0.3"
 numpy = {version = ">=1.26.2,<3", markers = "python_version >= \"3.12\""}
 pydantic = ">=2.7.4,<3.0.0"
 PyYAML = ">=5.3"
@@ -1671,23 +1660,23 @@ numpy = {version = ">=1.26.0,<2.0.0", markers = "python_version >= \"3.12\""}
 
 [[package]]
 name = "langchain-community"
-version = "0.3.4"
+version = "0.3.14"
 description = "Community contributed LangChain integrations."
 optional = false
 python-versions = "<4.0,>=3.9"
 files = [
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 ]
 
 [package.dependencies]
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 dataclasses-json = ">=0.5.7,<0.7"
 httpx-sse = ">=0.4.0,<0.5.0"
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-langsmith = ">=0.1.125,<0.2.0"
-numpy = {version = ">=1.26.0,<2.0.0", markers = "python_version >= \"3.12\""}
+langchain = ">=0.3.14,<0.4.0"
+langchain-core = ">=0.3.29,<0.4.0"
+langsmith = ">=0.1.125,<0.3"
+numpy = {version = ">=1.26.2,<3", markers = "python_version >= \"3.12\""}
 pydantic-settings = ">=2.4.0,<3.0.0"
 PyYAML = ">=5.3"
 requests = ">=2,<3"
@@ -1696,18 +1685,18 @@ tenacity = ">=8.1.0,<8.4.0 || >8.4.0,<10"
 
 [[package]]
 name = "langchain-core"
-version = "0.3.21"
+version = "0.3.29"
 description = "Building applications with LLMs through composability"
 optional = false
 python-versions = "<4.0,>=3.9"
 files = [
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+    {file = "langchain_core-0.3.29.tar.gz", hash = "sha256:773d6aeeb612e7ce3d996c0be403433d8c6a91e77bbb7a7461c13e15cfbe5b06"},
 ]
 
 [package.dependencies]
 jsonpatch = ">=1.33,<2.0"
-langsmith = ">=0.1.125,<0.2.0"
+langsmith = ">=0.1.125,<0.3"
 packaging = ">=23.2,<25"
 pydantic = [
     {version = ">=2.5.2,<3.0.0", markers = "python_full_version < \"3.12.4\""},
@@ -1737,74 +1726,74 @@ transformers = ">=4.39.0"
 
 [[package]]
 name = "langchain-ollama"
-version = "0.2.0"
+version = "0.2.2"
 description = "An integration package connecting Ollama and LangChain"
 optional = false
 python-versions = "<4.0,>=3.9"
 files = [
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+    {file = "langchain_ollama-0.2.2.tar.gz", hash = "sha256:2d9bcb06ffdbe43c7c6906c46e710d36d33b6b99cd4975cbf54060f13e51c875"},
 ]
 
 [package.dependencies]
-langchain-core = ">=0.3.0,<0.4.0"
-ollama = ">=0.3.0,<1"
+langchain-core = ">=0.3.27,<0.4.0"
+ollama = ">=0.4.4,<1"
 
 [[package]]
 name = "langchain-openai"
-version = "0.2.10"
+version = "0.2.14"
 description = "An integration package connecting OpenAI and LangChain"
 optional = false
 python-versions = "<4.0,>=3.9"
 files = [
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+    {file = "langchain_openai-0.2.14.tar.gz", hash = "sha256:7a514f309e356b182a337c0ed36ab3fbe34d9834a235a3b85cb7f91ae775d978"},
 ]
 
 [package.dependencies]
-langchain-core = ">=0.3.21,<0.4.0"
-openai = ">=1.54.0,<2.0.0"
+langchain-core = ">=0.3.27,<0.4.0"
+openai = ">=1.58.1,<2.0.0"
 tiktoken = ">=0.7,<1"
 
 [[package]]
 name = "langchain-text-splitters"
-version = "0.3.2"
+version = "0.3.5"
 description = "LangChain text splitting utilities"
 optional = false
 python-versions = "<4.0,>=3.9"
 files = [
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 ]
 
 [package.dependencies]
-langchain-core = ">=0.3.15,<0.4.0"
+langchain-core = ">=0.3.29,<0.4.0"
 
 [[package]]
 name = "langgraph"
-version = "0.2.53"
+version = "0.2.63"
 description = "Building stateful, multi-actor applications with LLMs"
 optional = false
 python-versions = "<4.0,>=3.9.0"
 files = [
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 ]
 
 [package.dependencies]
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-langgraph-checkpoint = ">=2.0.4,<3.0.0"
-langgraph-sdk = ">=0.1.32,<0.2.0"
+langchain-core = ">=0.2.43,<0.3.0 || >0.3.0,<0.3.1 || >0.3.1,<0.3.2 || >0.3.2,<0.3.3 || >0.3.3,<0.3.4 || >0.3.4,<0.3.5 || >0.3.5,<0.3.6 || >0.3.6,<0.3.7 || >0.3.7,<0.3.8 || >0.3.8,<0.3.9 || >0.3.9,<0.3.10 || >0.3.10,<0.3.11 || >0.3.11,<0.3.12 || >0.3.12,<0.3.13 || >0.3.13,<0.3.14 || >0.3.14,<0.3.15 || >0.3.15,<0.3.16 || >0.3.16,<0.3.17 || >0.3.17,<0.3.18 || >0.3.18,<0.3.19 || >0.3.19,<0.3.20 || >0.3.20,<0.3.21 || >0.3.21,<0.3.22 || >0.3.22,<0.4.0"
+langgraph-checkpoint = ">=2.0.10,<3.0.0"
+langgraph-sdk = ">=0.1.42,<0.2.0"
 
 [[package]]
 name = "langgraph-checkpoint"
-version = "2.0.7"
+version = "2.0.10"
 description = "Library with base interfaces for LangGraph checkpoint savers."
 optional = false
 python-versions = "<4.0.0,>=3.9.0"
 files = [
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@@ -1813,46 +1802,45 @@ msgpack = ">=1.1.0,<2.0.0"
 
 [[package]]
 name = "langgraph-checkpoint-postgres"
-version = "2.0.6"
+version = "2.0.13"
 description = "Library with a Postgres implementation of LangGraph checkpoint saver."
 optional = false
 python-versions = "<4.0.0,>=3.9.0"
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 orjson = ">=3.10.1"
 psycopg = ">=3.2.0,<4.0.0"
 psycopg-pool = ">=3.2.0,<4.0.0"
 
 [[package]]
 name = "langgraph-sdk"
-version = "0.1.40"
+version = "0.1.51"
 description = "SDK for interacting with LangGraph API"
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 orjson = ">=3.10.1"
 
 [[package]]
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 description = "Client library to connect to the LangSmith LLM Tracing and Evaluation Platform."
 optional = false
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 ]
 
 [package.dependencies]
@@ -1866,6 +1854,7 @@ requests = ">=2,<3"
 requests-toolbelt = ">=1.0.0,<2.0.0"
 
 [package.extras]
+compression = ["zstandard (>=0.23.0,<0.24.0)"]
 langsmith-pyo3 = ["langsmith-pyo3 (>=0.1.0rc2,<0.2.0)"]
 
 [[package]]
@@ -1898,12 +1887,12 @@ files = [
 
 [[package]]
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-version = "0.0.623"
+version = "0.1.103"
 description = "An SDK for observability in Python applications"
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 python-versions = "*"
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 description = "A lightweight library for converting complex datatypes to and from native Python datatypes."
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 python-versions = ">=3.9"
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 tests = ["pytest", "simplejson"]
 
 [[package]]
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+    {file = "mypy-1.14.1-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:46c756a444117c43ee984bd055db99e498bc613a70bbbc120272bd13ca579fbc"},
+    {file = "mypy-1.14.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:27fc248022907e72abfd8e22ab1f10e903915ff69961174784a3900a8cba9ad9"},
+    {file = "mypy-1.14.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:499d6a72fb7e5de92218db961f1a66d5f11783f9ae549d214617edab5d4dbdbb"},
+    {file = "mypy-1.14.1-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:57961db9795eb566dc1d1b4e9139ebc4c6b0cb6e7254ecde69d1552bf7613f60"},
+    {file = "mypy-1.14.1-cp39-cp39-win_amd64.whl", hash = "sha256:07ba89fdcc9451f2ebb02853deb6aaaa3d2239a236669a63ab3801bbf923ef5c"},
+    {file = "mypy-1.14.1-py3-none-any.whl", hash = "sha256:b66a60cc4073aeb8ae00057f9c1f64d49e90f918fbcef9a977eb121da8b8f1d1"},
+    {file = "mypy-1.14.1.tar.gz", hash = "sha256:7ec88144fe9b510e8475ec2f5f251992690fcf89ccb4500b214b4226abcd32d6"},
 ]
 
 [package.dependencies]
-mypy-extensions = ">=1.0.0"
-typing-extensions = ">=4.6.0"
+mypy_extensions = ">=1.0.0"
+typing_extensions = ">=4.6.0"
 
 [package.extras]
 dmypy = ["psutil (>=4.0)"]
@@ -2662,13 +2657,13 @@ signedtoken = ["cryptography (>=3.0.0)", "pyjwt (>=2.0.0,<3)"]
 
 [[package]]
 name = "ollama"
-version = "0.4.2"
+version = "0.4.6"
 description = "The official Python client for Ollama."
 optional = false
 python-versions = "<4.0,>=3.8"
 files = [
-    {file = "ollama-0.4.2-py3-none-any.whl", hash = "sha256:3059fe1fe34e24c782e9e8eebf69bcd2d7037007cb4b3cfda4b32bfee36ae2ef"},
-    {file = "ollama-0.4.2.tar.gz", hash = "sha256:5dffc826737a1d121c9ae371439cace20ab02ec4b0840fd55c56efa9a3fb3646"},
+    {file = "ollama-0.4.6-py3-none-any.whl", hash = "sha256:cbb4ebe009e10dd12bdd82508ab415fd131945e185753d728a7747c9ebe762e9"},
+    {file = "ollama-0.4.6.tar.gz", hash = "sha256:b00717651c829f96094ed4231b9f0d87e33cc92dc235aca50aeb5a2a4e6e95b7"},
 ]
 
 [package.dependencies]
@@ -2715,13 +2710,13 @@ sympy = "*"
 
 [[package]]
 name = "openai"
-version = "1.55.3"
+version = "1.59.7"
 description = "The official Python library for the openai API"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "openai-1.55.3-py3-none-any.whl", hash = "sha256:2a235d0e1e312cd982f561b18c27692e253852f4e5fb6ccf08cb13540a9bdaa1"},
-    {file = "openai-1.55.3.tar.gz", hash = "sha256:547e85b94535469f137a779d8770c8c5adebd507c2cc6340ca401a7c4d5d16f0"},
+    {file = "openai-1.59.7-py3-none-any.whl", hash = "sha256:cfa806556226fa96df7380ab2e29814181d56fea44738c2b0e581b462c268692"},
+    {file = "openai-1.59.7.tar.gz", hash = "sha256:043603def78c00befb857df9f0a16ee76a3af5984ba40cb7ee5e2f40db4646bf"},
 ]
 
 [package.dependencies]
@@ -2736,16 +2731,17 @@ typing-extensions = ">=4.11,<5"
 
 [package.extras]
 datalib = ["numpy (>=1)", "pandas (>=1.2.3)", "pandas-stubs (>=1.1.0.11)"]
+realtime = ["websockets (>=13,<15)"]
 
 [[package]]
 name = "opentelemetry-api"
-version = "1.28.2"
+version = "1.29.0"
 description = "OpenTelemetry Python API"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "opentelemetry_api-1.28.2-py3-none-any.whl", hash = "sha256:6fcec89e265beb258fe6b1acaaa3c8c705a934bd977b9f534a2b7c0d2d4275a6"},
-    {file = "opentelemetry_api-1.28.2.tar.gz", hash = "sha256:ecdc70c7139f17f9b0cf3742d57d7020e3e8315d6cffcdf1a12a905d45b19cc0"},
+    {file = "opentelemetry_api-1.29.0-py3-none-any.whl", hash = "sha256:5fcd94c4141cc49c736271f3e1efb777bebe9cc535759c54c936cca4f1b312b8"},
+    {file = "opentelemetry_api-1.29.0.tar.gz", hash = "sha256:d04a6cf78aad09614f52964ecb38021e248f5714dc32c2e0d8fd99517b4d69cf"},
 ]
 
 [package.dependencies]
@@ -2754,42 +2750,42 @@ importlib-metadata = ">=6.0,<=8.5.0"
 
 [[package]]
 name = "opentelemetry-exporter-otlp"
-version = "1.28.2"
+version = "1.29.0"
 description = "OpenTelemetry Collector Exporters"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "opentelemetry_exporter_otlp-1.28.2-py3-none-any.whl", hash = "sha256:b50f6d4a80e6bcd329e36f360ac486ecfa106ea704d6226ceea05d3a48455f70"},
-    {file = "opentelemetry_exporter_otlp-1.28.2.tar.gz", hash = "sha256:45f8d7fe4cdd41526464b542ce91b1fd1ae661be92d2c6cba71a3d948b2bdf70"},
+    {file = "opentelemetry_exporter_otlp-1.29.0-py3-none-any.whl", hash = "sha256:b8da6e20f5b0ffe604154b1e16a407eade17ce310c42fb85bb4e1246fc3688ad"},
+    {file = "opentelemetry_exporter_otlp-1.29.0.tar.gz", hash = "sha256:ee7dfcccbb5e87ad9b389908452e10b7beeab55f70a83f41ce5b8c4efbde6544"},
 ]
 
 [package.dependencies]
-opentelemetry-exporter-otlp-proto-grpc = "1.28.2"
-opentelemetry-exporter-otlp-proto-http = "1.28.2"
+opentelemetry-exporter-otlp-proto-grpc = "1.29.0"
+opentelemetry-exporter-otlp-proto-http = "1.29.0"
 
 [[package]]
 name = "opentelemetry-exporter-otlp-proto-common"
-version = "1.28.2"
+version = "1.29.0"
 description = "OpenTelemetry Protobuf encoding"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "opentelemetry_exporter_otlp_proto_common-1.28.2-py3-none-any.whl", hash = "sha256:545b1943b574f666c35b3d6cc67cb0b111060727e93a1e2866e346b33bff2a12"},
-    {file = "opentelemetry_exporter_otlp_proto_common-1.28.2.tar.gz", hash = "sha256:7aebaa5fc9ff6029374546df1f3a62616fda07fccd9c6a8b7892ec130dd8baca"},
+    {file = "opentelemetry_exporter_otlp_proto_common-1.29.0-py3-none-any.whl", hash = "sha256:a9d7376c06b4da9cf350677bcddb9618ed4b8255c3f6476975f5e38274ecd3aa"},
+    {file = "opentelemetry_exporter_otlp_proto_common-1.29.0.tar.gz", hash = "sha256:e7c39b5dbd1b78fe199e40ddfe477e6983cb61aa74ba836df09c3869a3e3e163"},
 ]
 
 [package.dependencies]
-opentelemetry-proto = "1.28.2"
+opentelemetry-proto = "1.29.0"
 
 [[package]]
 name = "opentelemetry-exporter-otlp-proto-grpc"
-version = "1.28.2"
+version = "1.29.0"
 description = "OpenTelemetry Collector Protobuf over gRPC Exporter"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "opentelemetry_exporter_otlp_proto_grpc-1.28.2-py3-none-any.whl", hash = "sha256:6083d9300863aab35bfce7c172d5fc1007686e6f8dff366eae460cd9a21592e2"},
-    {file = "opentelemetry_exporter_otlp_proto_grpc-1.28.2.tar.gz", hash = "sha256:07c10378380bbb01a7f621a5ce833fc1fab816e971140cd3ea1cd587840bc0e6"},
+    {file = "opentelemetry_exporter_otlp_proto_grpc-1.29.0-py3-none-any.whl", hash = "sha256:5a2a3a741a2543ed162676cf3eefc2b4150e6f4f0a193187afb0d0e65039c69c"},
+    {file = "opentelemetry_exporter_otlp_proto_grpc-1.29.0.tar.gz", hash = "sha256:3d324d07d64574d72ed178698de3d717f62a059a93b6b7685ee3e303384e73ea"},
 ]
 
 [package.dependencies]
@@ -2797,98 +2793,98 @@ deprecated = ">=1.2.6"
 googleapis-common-protos = ">=1.52,<2.0"
 grpcio = ">=1.63.2,<2.0.0"
 opentelemetry-api = ">=1.15,<2.0"
-opentelemetry-exporter-otlp-proto-common = "1.28.2"
-opentelemetry-proto = "1.28.2"
-opentelemetry-sdk = ">=1.28.2,<1.29.0"
+opentelemetry-exporter-otlp-proto-common = "1.29.0"
+opentelemetry-proto = "1.29.0"
+opentelemetry-sdk = ">=1.29.0,<1.30.0"
 
 [[package]]
 name = "opentelemetry-exporter-otlp-proto-http"
-version = "1.28.2"
+version = "1.29.0"
 description = "OpenTelemetry Collector Protobuf over HTTP Exporter"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "opentelemetry_exporter_otlp_proto_http-1.28.2-py3-none-any.whl", hash = "sha256:af921c18212a56ef4be68458ba475791c0517ebfd8a2ff04669c9cd477d90ff2"},
-    {file = "opentelemetry_exporter_otlp_proto_http-1.28.2.tar.gz", hash = "sha256:d9b353d67217f091aaf4cfe8693c170973bb3e90a558992570d97020618fda79"},
+    {file = "opentelemetry_exporter_otlp_proto_http-1.29.0-py3-none-any.whl", hash = "sha256:b228bdc0f0cfab82eeea834a7f0ffdd2a258b26aa33d89fb426c29e8e934d9d0"},
+    {file = "opentelemetry_exporter_otlp_proto_http-1.29.0.tar.gz", hash = "sha256:b10d174e3189716f49d386d66361fbcf6f2b9ad81e05404acdee3f65c8214204"},
 ]
 
 [package.dependencies]
 deprecated = ">=1.2.6"
 googleapis-common-protos = ">=1.52,<2.0"
 opentelemetry-api = ">=1.15,<2.0"
-opentelemetry-exporter-otlp-proto-common = "1.28.2"
-opentelemetry-proto = "1.28.2"
-opentelemetry-sdk = ">=1.28.2,<1.29.0"
+opentelemetry-exporter-otlp-proto-common = "1.29.0"
+opentelemetry-proto = "1.29.0"
+opentelemetry-sdk = ">=1.29.0,<1.30.0"
 requests = ">=2.7,<3.0"
 
 [[package]]
 name = "opentelemetry-instrumentation"
-version = "0.49b2"
+version = "0.50b0"
 description = "Instrumentation Tools & Auto Instrumentation for OpenTelemetry Python"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "opentelemetry_instrumentation-0.49b2-py3-none-any.whl", hash = "sha256:f6d782b0ef9fef4a4c745298651c65f5c532c34cd4c40d230ab5b9f3b3b4d151"},
-    {file = "opentelemetry_instrumentation-0.49b2.tar.gz", hash = "sha256:8cf00cc8d9d479e4b72adb9bd267ec544308c602b7188598db5a687e77b298e2"},
+    {file = "opentelemetry_instrumentation-0.50b0-py3-none-any.whl", hash = "sha256:b8f9fc8812de36e1c6dffa5bfc6224df258841fb387b6dfe5df15099daa10630"},
+    {file = "opentelemetry_instrumentation-0.50b0.tar.gz", hash = "sha256:7d98af72de8dec5323e5202e46122e5f908592b22c6d24733aad619f07d82979"},
 ]
 
 [package.dependencies]
 opentelemetry-api = ">=1.4,<2.0"
-opentelemetry-semantic-conventions = "0.49b2"
+opentelemetry-semantic-conventions = "0.50b0"
 packaging = ">=18.0"
 wrapt = ">=1.0.0,<2.0.0"
 
 [[package]]
 name = "opentelemetry-instrumentation-asgi"
-version = "0.49b2"
+version = "0.50b0"
 description = "ASGI instrumentation for OpenTelemetry"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "opentelemetry_instrumentation_asgi-0.49b2-py3-none-any.whl", hash = "sha256:c8ede13ed781402458a800411cb7ec16a25386dc21de8e5b9a568b386a1dc5f4"},
-    {file = "opentelemetry_instrumentation_asgi-0.49b2.tar.gz", hash = "sha256:2af5faf062878330714efe700127b837038c4d9d3b70b451ab2424d5076d6c1c"},
+    {file = "opentelemetry_instrumentation_asgi-0.50b0-py3-none-any.whl", hash = "sha256:2ba1297f746e55dec5a17fe825689da0613662fb25c004c3965a6c54b1d5be22"},
+    {file = "opentelemetry_instrumentation_asgi-0.50b0.tar.gz", hash = "sha256:3ca4cb5616ae6a3e8ce86e7d5c360a8d8cc8ed722cf3dc8a5e44300774e87d49"},
 ]
 
 [package.dependencies]
 asgiref = ">=3.0,<4.0"
 opentelemetry-api = ">=1.12,<2.0"
-opentelemetry-instrumentation = "0.49b2"
-opentelemetry-semantic-conventions = "0.49b2"
-opentelemetry-util-http = "0.49b2"
+opentelemetry-instrumentation = "0.50b0"
+opentelemetry-semantic-conventions = "0.50b0"
+opentelemetry-util-http = "0.50b0"
 
 [package.extras]
 instruments = ["asgiref (>=3.0,<4.0)"]
 
 [[package]]
 name = "opentelemetry-instrumentation-fastapi"
-version = "0.49b2"
+version = "0.50b0"
 description = "OpenTelemetry FastAPI Instrumentation"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "opentelemetry_instrumentation_fastapi-0.49b2-py3-none-any.whl", hash = "sha256:c66331d05bf806d7ca4f9579c1db7383aad31a9f6665dbaa2b7c9a4c1e830892"},
-    {file = "opentelemetry_instrumentation_fastapi-0.49b2.tar.gz", hash = "sha256:3aa81ed7acf6aa5236d96e90a1218c5e84a9c0dce8fa63bf34ceee6218354b63"},
+    {file = "opentelemetry_instrumentation_fastapi-0.50b0-py3-none-any.whl", hash = "sha256:8f03b738495e4705fbae51a2826389c7369629dace89d0f291c06ffefdff5e52"},
+    {file = "opentelemetry_instrumentation_fastapi-0.50b0.tar.gz", hash = "sha256:16b9181682136da210295def2bb304a32fb9bdee9a935cdc9da43567f7c1149e"},
 ]
 
 [package.dependencies]
 opentelemetry-api = ">=1.12,<2.0"
-opentelemetry-instrumentation = "0.49b2"
-opentelemetry-instrumentation-asgi = "0.49b2"
-opentelemetry-semantic-conventions = "0.49b2"
-opentelemetry-util-http = "0.49b2"
+opentelemetry-instrumentation = "0.50b0"
+opentelemetry-instrumentation-asgi = "0.50b0"
+opentelemetry-semantic-conventions = "0.50b0"
+opentelemetry-util-http = "0.50b0"
 
 [package.extras]
 instruments = ["fastapi (>=0.58,<1.0)"]
 
 [[package]]
 name = "opentelemetry-proto"
-version = "1.28.2"
+version = "1.29.0"
 description = "OpenTelemetry Python Proto"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "opentelemetry_proto-1.28.2-py3-none-any.whl", hash = "sha256:0837498f59db55086462915e5898d0b1a18c1392f6db4d7e937143072a72370c"},
-    {file = "opentelemetry_proto-1.28.2.tar.gz", hash = "sha256:7c0d125a6b71af88bfeeda16bfdd0ff63dc2cf0039baf6f49fa133b203e3f566"},
+    {file = "opentelemetry_proto-1.29.0-py3-none-any.whl", hash = "sha256:495069c6f5495cbf732501cdcd3b7f60fda2b9d3d4255706ca99b7ca8dec53ff"},
+    {file = "opentelemetry_proto-1.29.0.tar.gz", hash = "sha256:3c136aa293782e9b44978c738fff72877a4b78b5d21a64e879898db7b2d93e5d"},
 ]
 
 [package.dependencies]
@@ -2896,128 +2892,128 @@ protobuf = ">=5.0,<6.0"
 
 [[package]]
 name = "opentelemetry-sdk"
-version = "1.28.2"
+version = "1.29.0"
 description = "OpenTelemetry Python SDK"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "opentelemetry_sdk-1.28.2-py3-none-any.whl", hash = "sha256:93336c129556f1e3ccd21442b94d3521759541521861b2214c499571b85cb71b"},
-    {file = "opentelemetry_sdk-1.28.2.tar.gz", hash = "sha256:5fed24c5497e10df30282456fe2910f83377797511de07d14cec0d3e0a1a3110"},
+    {file = "opentelemetry_sdk-1.29.0-py3-none-any.whl", hash = "sha256:173be3b5d3f8f7d671f20ea37056710217959e774e2749d984355d1f9391a30a"},
+    {file = "opentelemetry_sdk-1.29.0.tar.gz", hash = "sha256:b0787ce6aade6ab84315302e72bd7a7f2f014b0fb1b7c3295b88afe014ed0643"},
 ]
 
 [package.dependencies]
-opentelemetry-api = "1.28.2"
-opentelemetry-semantic-conventions = "0.49b2"
+opentelemetry-api = "1.29.0"
+opentelemetry-semantic-conventions = "0.50b0"
 typing-extensions = ">=3.7.4"
 
 [[package]]
 name = "opentelemetry-semantic-conventions"
-version = "0.49b2"
+version = "0.50b0"
 description = "OpenTelemetry Semantic Conventions"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "opentelemetry_semantic_conventions-0.49b2-py3-none-any.whl", hash = "sha256:51e7e1d0daa958782b6c2a8ed05e5f0e7dd0716fc327ac058777b8659649ee54"},
-    {file = "opentelemetry_semantic_conventions-0.49b2.tar.gz", hash = "sha256:44e32ce6a5bb8d7c0c617f84b9dc1c8deda1045a07dc16a688cc7cbeab679997"},
+    {file = "opentelemetry_semantic_conventions-0.50b0-py3-none-any.whl", hash = "sha256:e87efba8fdb67fb38113efea6a349531e75ed7ffc01562f65b802fcecb5e115e"},
+    {file = "opentelemetry_semantic_conventions-0.50b0.tar.gz", hash = "sha256:02dc6dbcb62f082de9b877ff19a3f1ffaa3c306300fa53bfac761c4567c83d38"},
 ]
 
 [package.dependencies]
 deprecated = ">=1.2.6"
-opentelemetry-api = "1.28.2"
+opentelemetry-api = "1.29.0"
 
 [[package]]
 name = "opentelemetry-util-http"
-version = "0.49b2"
+version = "0.50b0"
 description = "Web util for OpenTelemetry"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "opentelemetry_util_http-0.49b2-py3-none-any.whl", hash = "sha256:e325d6511c6bee7b43170eb0c93261a210ec57e20ab1d7a99838515ef6d2bf58"},
-    {file = "opentelemetry_util_http-0.49b2.tar.gz", hash = "sha256:5958c7009f79146bbe98b0fdb23d9d7bf1ea9cd154a1c199029b1a89e0557199"},
+    {file = "opentelemetry_util_http-0.50b0-py3-none-any.whl", hash = "sha256:21f8aedac861ffa3b850f8c0a6c373026189eb8630ac6e14a2bf8c55695cc090"},
+    {file = "opentelemetry_util_http-0.50b0.tar.gz", hash = "sha256:dc4606027e1bc02aabb9533cc330dd43f874fca492e4175c31d7154f341754af"},
 ]
 
 [[package]]
 name = "orjson"
-version = "3.10.12"
+version = "3.10.14"
 description = "Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "orjson-3.10.12-cp310-cp310-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:ece01a7ec71d9940cc654c482907a6b65df27251255097629d0dea781f255c6d"},
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 fpx = ["olefile"]
 mic = ["olefile"]
-tests = ["check-manifest", "coverage", "defusedxml", "markdown2", "olefile", "packaging", "pyroma", "pytest", "pytest-cov", "pytest-timeout"]
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@@ -3275,13 +3267,13 @@ testing = ["pytest", "pytest-benchmark"]
 
 [[package]]
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+version = "3.8.3"
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 [package.dependencies]
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 [package.extras]
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 [package.extras]
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 [[package]]
 name = "pydantic-settings"
-version = "2.6.1"
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 description = "Settings management using Pydantic"
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@@ -3724,13 +3702,13 @@ files = [
 
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@@ -3790,13 +3768,13 @@ dev = ["build", "flake8", "mypy", "pytest", "twine"]
 
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 [package.dependencies]
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 [package.extras]
 asyncio-client = ["aiohttp (>=3.4)"]
@@ -4196,13 +4171,13 @@ files = [
 
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 [[package]]
 name = "sentence-transformers"
@@ -4501,13 +4392,13 @@ docs = ["sphinx"]
 
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 ]
 
 [[package]]
@@ -4523,72 +4414,72 @@ files = [
 
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 [[package]]
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 [package.dependencies]
@@ -5609,4 +5525,4 @@ type = ["pytest-mypy"]
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.12, <4"
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diff --git a/public/theme.json b/public/theme.json
new file mode 100644
index 0000000..1859863
--- /dev/null
+++ b/public/theme.json
@@ -0,0 +1,68 @@
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+            "--radius": "0.75rem",
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+            "--sidebar-foreground": "240 4.8% 95.9%",
+            "--sidebar-primary": "224.3 76.3% 48%",
+            "--sidebar-primary-foreground": "0 0% 100%",
+            "--sidebar-accent": "0 0% 13%",
+            "--sidebar-accent-foreground": "240 4.8% 95.9%",
+            "--sidebar-border": "240 3.7% 15.9%",
+            "--sidebar-ring": "217.2 91.2% 59.8%"
+        }
+    }
+}
diff --git a/pyproject.toml b/pyproject.toml
index 3bca9ed..ddcfc25 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -23,7 +23,7 @@ langchain-openai = "^0.2.3"
 neo4j = "4.3.6"
 python-dotenv = "^1.0.1"
 pyfiglet = "^1.0.2"
-chainlit = "^1.3.1"
+chainlit = "^2.0.3"
 asyncpg = "^0.30.0"
 sqlalchemy = "^2.0.30"
 langchain-community = "^0.3.3"
@@ -42,7 +42,8 @@ langgraph = "^0.2.39"
 langgraph-checkpoint-postgres = "^2.0.2"
 rank-bm25 = "^0.2.2"
 psycopg = {extras = ["binary"], version = "^3.2.3"}
-pydantic = "!=2.10.2"
+pydantic = "^2.10.5"
+pyyaml = "^6.0.2"
 
 [tool.poetry.group.dev.dependencies]
 ruff = "^0.7.1"
@@ -52,6 +53,7 @@ black = "^24.10.0"
 isort = "^5.13.2"
 pandas-stubs = "^2.2.3.241009"
 types-requests = "^2.32.0.20241016"
+types-pyyaml = "^6.0.12.20241230"
 
 [[tool.poetry.source]]
 name = "PyPI"
diff --git a/src/conversational_chain/chain.py b/src/conversational_chain/chain.py
index 4181b48..3cb7e8c 100644
--- a/src/conversational_chain/chain.py
+++ b/src/conversational_chain/chain.py
@@ -4,74 +4,29 @@
 from langchain.chains.retrieval import create_retrieval_chain
 from langchain_core.language_models.chat_models import BaseChatModel
 from langchain_core.retrievers import BaseRetriever
+from langchain_core.runnables import Runnable
 
 from system_prompt.reactome_prompt import contextualize_q_prompt, qa_prompt
 
 
-class RAGChainWithMemory:
-    def __init__(self, memory, retriever: BaseRetriever, llm: BaseChatModel):
-        """
-        Initializes the Retrieval-Augmented Generation (RAG) chain with memory.
-        """
-        self.memory = memory
-        self.llm = llm
+def create_rag_chain(llm: BaseChatModel, retriever: BaseRetriever) -> Runnable:
+    # Create the history-aware retriever
+    history_aware_retriever: Runnable = create_history_aware_retriever(
+        llm=llm,
+        retriever=retriever,
+        prompt=contextualize_q_prompt,
+    )
 
-        # Create the history-aware retriever
-        self.history_aware_retriever = create_history_aware_retriever(
-            llm=self.llm,
-            retriever=retriever,
-            prompt=contextualize_q_prompt,
-        )
+    # Create the documents chain
+    question_answer_chain: Runnable = create_stuff_documents_chain(
+        llm=llm.model_copy(update={"streaming": True}),
+        prompt=qa_prompt,
+    )
 
-        # Create the documents chain
-        self.question_answer_chain = create_stuff_documents_chain(
-            llm=self.llm.model_copy(update={"streaming": True}),
-            prompt=qa_prompt,
-        )
+    # Create the retrieval chain
+    rag_chain: Runnable = create_retrieval_chain(
+        retriever=history_aware_retriever,
+        combine_docs_chain=question_answer_chain,
+    )
 
-        # Create the retrieval chain
-        self.rag_chain = create_retrieval_chain(
-            retriever=self.history_aware_retriever,
-            combine_docs_chain=self.question_answer_chain,
-        )
-
-    def invoke(self, user_input):
-        """
-        Runs the chain synchronously.
-        """
-        # Invoke the chain and get the parsed output
-        response = self.rag_chain.invoke(
-            {
-                "input": user_input,
-                "chat_history": self.memory.get_history(),
-            }
-        )
-
-        answer = response["answer"]
-
-        # Update memory with user input and LLM response
-        self.memory.add_human_message(user_input)
-        self.memory.add_ai_message(answer)
-
-        return answer
-
-    async def ainvoke(self, user_input, callbacks=None):
-        """
-        Runs the chain asynchronously.
-        """
-        # Invoke the chain asynchronously
-        response = await self.rag_chain.ainvoke(
-            {
-                "input": user_input,
-                "chat_history": self.memory.get_history(),
-            },
-            callbacks=callbacks,
-        )
-
-        answer = response["answer"]
-
-        # Update memory with user input and LLM response
-        self.memory.add_human_message(user_input)
-        self.memory.add_ai_message(answer)
-
-        return answer
+    return rag_chain
diff --git a/src/conversational_chain/graph.py b/src/conversational_chain/graph.py
index 45f098e..898155f 100644
--- a/src/conversational_chain/graph.py
+++ b/src/conversational_chain/graph.py
@@ -3,8 +3,11 @@
 from typing import Annotated, Any, Sequence, TypedDict
 
 from langchain_core.callbacks.base import Callbacks
+from langchain_core.documents import Document
+from langchain_core.language_models.chat_models import BaseChatModel
 from langchain_core.messages import AIMessage, BaseMessage, HumanMessage
-from langchain_core.runnables import RunnableConfig
+from langchain_core.retrievers import BaseRetriever
+from langchain_core.runnables import Runnable, RunnableConfig
 from langgraph.checkpoint.base import BaseCheckpointSaver
 from langgraph.checkpoint.memory import MemorySaver
 from langgraph.checkpoint.postgres.aio import AsyncPostgresSaver
@@ -13,7 +16,7 @@
 from psycopg import AsyncConnection
 from psycopg_pool import AsyncConnectionPool
 
-from conversational_chain.chain import RAGChainWithMemory
+from conversational_chain.chain import create_rag_chain
 from util.logging import logging
 
 LANGGRAPH_DB_URI = f"postgresql://{os.getenv('POSTGRES_USER')}:{os.getenv('POSTGRES_PASSWORD')}@postgres:5432/{os.getenv('POSTGRES_LANGGRAPH_DB')}?sslmode=disable"
@@ -29,22 +32,33 @@
 
 class ChatResponse(TypedDict):
     chat_history: Annotated[Sequence[BaseMessage], add_messages]
-    context: str
-    answer: str
+    context: list[Document]
+    answer: str  # primary LLM response that is streamed to the user
 
 
 class ChatState(ChatResponse):
     input: str
+    additional_text: str  # additional text to send after graph completes
 
 
-class RAGGraphWithMemory(RAGChainWithMemory):
-    def __init__(self, **chain_kwargs) -> None:
-        super().__init__(**chain_kwargs)
+class RAGGraphWithMemory:
+    def __init__(self, retriever: BaseRetriever, llm: BaseChatModel) -> None:
+        # Set up runnables
+        self.rag_chain: Runnable = create_rag_chain(llm, retriever)
+
+        # Create graph
         state_graph: StateGraph = StateGraph(ChatState)
+        # Set up nodes
         state_graph.add_node("model", self.call_model)
+        state_graph.add_node("postprocess", self.postprocess)
+        # Set up edges
         state_graph.set_entry_point("model")
-        state_graph.set_finish_point("model")
+        state_graph.add_edge("model", "postprocess")
+        state_graph.set_finish_point("postprocess")
+
         self.uncompiled_graph: StateGraph = state_graph
+
+        # The following are set asynchronously by calling initialize()
         self.graph: CompiledStateGraph | None = None
         self.pool: AsyncConnectionPool[AsyncConnection[dict[str, Any]]] | None = None
 
@@ -88,9 +102,17 @@ async def call_model(
             "answer": response["answer"],
         }
 
+    async def postprocess(
+        self, state: ChatResponse, config: RunnableConfig
+    ) -> dict[str, str]:
+        # TODO: add completeness checking flow here
+        return {
+            "additional_text": "",
+        }
+
     async def ainvoke(
         self, user_input: str, callbacks: Callbacks, thread_id: str
-    ) -> str:
+    ) -> dict[str, Any]:
         if self.graph is None:
             self.graph = await self.initialize()
         response: dict[str, Any] = await self.graph.ainvoke(
@@ -100,4 +122,4 @@ async def ainvoke(
                 configurable={"thread_id": thread_id},
             ),
         )
-        return response["answer"]
+        return response
diff --git a/src/conversational_chain/memory.py b/src/conversational_chain/memory.py
deleted file mode 100644
index bbf35d6..0000000
--- a/src/conversational_chain/memory.py
+++ /dev/null
@@ -1,26 +0,0 @@
-from langchain.schema import AIMessage, HumanMessage
-
-
-class ChatHistoryMemory:
-    """
-    Manages the chat history for the conversation.
-    """
-
-    def __init__(self):
-        self.history = []
-
-    def add_human_message(self, content: str):
-        """Adds a human message to the chat history."""
-        self.history.append(HumanMessage(content=content))
-
-    def add_ai_message(self, content: str):
-        """Adds an AI message to the chat history."""
-        self.history.append(AIMessage(content=content))
-
-    def get_history(self):
-        """Returns the chat history."""
-        return self.history
-
-    def clear_history(self):
-        """Clears the chat history."""
-        self.history = []
diff --git a/src/retreival_chain.py b/src/retreival_chain.py
index 4cbb34d..8b25411 100644
--- a/src/retreival_chain.py
+++ b/src/retreival_chain.py
@@ -18,7 +18,6 @@
 from langchain_openai import ChatOpenAI, OpenAIEmbeddings
 
 from conversational_chain.graph import RAGGraphWithMemory
-from conversational_chain.memory import ChatHistoryMemory
 from reactome.metadata_info import descriptions_info, field_info
 
 
@@ -59,8 +58,6 @@ def create_retrieval_chain(
     hf_model: Optional[str] = None,
     device: str = "cpu",
 ) -> RAGGraphWithMemory:
-    memory = ChatHistoryMemory()
-
     callbacks: list[BaseCallbackHandler] = []
     if commandline:
         callbacks = [StreamingStdOutCallbackHandler()]
@@ -119,7 +116,6 @@ def create_retrieval_chain(
     reactome_retriever = MergerRetriever(retrievers=retriever_list)
 
     qa = RAGGraphWithMemory(
-        memory=memory,
         retriever=reactome_retriever,
         llm=llm,
     )
diff --git a/src/util/chainlit_helpers.py b/src/util/chainlit_helpers.py
new file mode 100644
index 0000000..4afc8ef
--- /dev/null
+++ b/src/util/chainlit_helpers.py
@@ -0,0 +1,47 @@
+from datetime import datetime
+from typing import Iterable
+
+import chainlit as cl
+
+from util.config_yml import Config, TriggerEvent
+
+
+def get_user_id() -> str | None:
+    user: cl.User | None = cl.user_session.get("user")
+    return user.identifier if user else None
+
+
+async def send_messages(messages: Iterable[str]):
+    for message in messages:
+        await cl.Message(content=message).send()
+
+
+async def static_messages(
+    config: Config | None,
+    event: TriggerEvent | None = None,
+    after_messages: int | None = None,
+) -> None:
+    if not config:
+        return
+    user_id: str | None = get_user_id()
+    last_static_messages: dict[str, datetime] = cl.user_session.get(
+        "last_static_messages", {}
+    )
+    messages: dict[str, str] = config.get_messages(
+        user_id, event, after_messages, last_static_messages
+    )
+    now: datetime = datetime.now()
+    for message_id in messages:
+        last_static_messages[message_id] = now
+    cl.user_session.set("last_static_messages", last_static_messages)
+
+    chat_profile: str = cl.user_session.get("chat_profile")
+
+    messages_formatted: Iterable[str] = map(
+        lambda msg: msg.format(
+            chat_profile=chat_profile,
+            user_id=user_id,
+        ),
+        messages.values(),
+    )
+    await send_messages(messages_formatted)
diff --git a/src/util/config_yml.py b/src/util/config_yml.py
new file mode 100644
index 0000000..f43739b
--- /dev/null
+++ b/src/util/config_yml.py
@@ -0,0 +1,135 @@
+import re
+from datetime import datetime, timedelta
+from enum import StrEnum, auto
+from fnmatch import fnmatch
+from pathlib import Path
+from typing import Self
+
+import yaml
+from pydantic import BaseModel, ValidationError
+
+from util.logging import logging
+
+CONFIG_YML = Path("config.yml")
+CONFIG_DEFAULT_YML = Path("config_default.yml")
+
+interval_units = {
+    "s": "seconds",
+    "m": "minutes",
+    "h": "hours",
+    "d": "days",
+    "w": "weeks",
+}
+
+
+def parse_interval(interval_str: str) -> timedelta:
+    re_match = re.fullmatch(r"([0-9]+)([smhdw])", interval_str)
+    if not re_match:
+        return timedelta(0)
+    value = int(re_match.group(1))
+    unit = interval_units[re_match.group(2)]
+    return timedelta(**{unit: value})
+
+
+class TriggerEvent(StrEnum):
+    on_chat_start = auto()
+    on_chat_end = auto()
+    on_chat_resume = auto()
+    on_message = auto()
+
+
+class Trigger(BaseModel):
+    event: TriggerEvent | None = None
+    after_messages: int | None = None
+    start: datetime | None = None
+    end: datetime | None = None
+    freq_max: str | None = None
+
+    def match_trigger(
+        self,
+        event: TriggerEvent | None = None,
+        after_messages: int | None = None,
+        last_message: datetime | None = None,
+    ):
+        now = datetime.now()
+        if self.event and self.event != event:
+            return False
+        if self.after_messages and self.after_messages != after_messages:
+            return False
+        if self.start and self.start.replace(tzinfo=None) > now:
+            return False
+        if self.end and self.end.replace(tzinfo=None) < now:
+            return False
+        if (
+            self.freq_max
+            and last_message
+            and parse_interval(self.freq_max) > now - last_message
+        ):
+            return False
+        return True
+
+
+class Message(BaseModel):
+    message: str
+    enabled: bool = True
+    recipients: list[str] | None = None
+    trigger: Trigger
+
+    def match_recipient(self, user_id: str | None) -> bool:
+        if not self.recipients:
+            return True
+        for entry in self.recipients:
+            logging.warning(entry)
+            if entry == "all":
+                return True
+            if user_id is None:
+                if entry == "guests":
+                    return True
+            else:
+                if entry == "logged_in":
+                    return True
+                elif entry[0] == "/" and entry[-1] == "/":
+                    if re.search(entry[1:-1], user_id):
+                        return True
+                else:
+                    if fnmatch(user_id, entry):
+                        return True
+        return False
+
+
+class Config(BaseModel):
+    messages: dict[str, Message]
+
+    def get_messages(
+        self,
+        user_id: str | None = None,
+        event: TriggerEvent | None = None,
+        after_messages: int | None = None,
+        last_messages: dict[str, datetime] = {},
+    ) -> dict[str, str]:
+        return {
+            message_id: message.message
+            for message_id, message in self.messages.items()
+            if (
+                message.enabled
+                and message.match_recipient(user_id)
+                and message.trigger.match_trigger(
+                    event, after_messages, last_messages.get(message_id, None)
+                )
+            )
+        }
+
+    @classmethod
+    def from_yaml(cls, config_yml: Path = CONFIG_YML) -> Self | None:
+        if not config_yml.exists():
+            logging.warning(
+                f"Config file not found: {config_yml} ; falling back to {CONFIG_DEFAULT_YML}"
+            )
+            config_yml = CONFIG_DEFAULT_YML
+        with open(config_yml) as f:
+            yaml_data: dict = yaml.safe_load(f)
+        try:
+            return cls(**yaml_data)
+        except ValidationError as e:
+            logging.warning(e)
+            return None
