diff --git a/.env b/.env index db44ca3217e..ef7b6d028a3 100644 --- a/.env +++ b/.env @@ -1,18 +1,18 @@ # Use .env.local to change these variables # DO NOT EDIT THIS FILE WITH SENSITIVE DATA -MONGODB_URL=#your mongodb URL here +### MongoDB ### +MONGODB_URL=#your mongodb URL here, use chat-ui-db image if you don't want to set this MONGODB_DB_NAME=chat-ui MONGODB_DIRECT_CONNECTION=false -COOKIE_NAME=hf-chat -COOKIE_SAMESITE= -COOKIE_SECURE= -TRUSTED_EMAIL_HEADER= # only set this if you understand the implications -HF_TOKEN=#hf_ from https://huggingface.co/settings/token +### Endpoints config ### HF_API_ROOT=https://api-inference.huggingface.co/models - +# HF_TOKEN is used for a lot of things, not only for inference but also fetching tokenizers, etc. +# We recommend using an HF_TOKEN even if you use a local endpoint. +HF_TOKEN= #get it from https://huggingface.co/settings/token +# API Keys for providers, you will need to specify models in the MODELS section but these keys can be kept secret OPENAI_API_KEY=#your openai api key here ANTHROPIC_API_KEY=#your anthropic api key here CLOUDFLARE_ACCOUNT_ID=#your cloudflare account id here @@ -20,80 +20,13 @@ CLOUDFLARE_API_TOKEN=#your cloudflare api token here COHERE_API_TOKEN=#your cohere api token here GOOGLE_GENAI_API_KEY=#your google genai api token here -HF_ACCESS_TOKEN=#LEGACY! Use HF_TOKEN instead - -# used to activate search with web functionality. disabled if none are defined. choose one of the following: -YDC_API_KEY=#your docs.you.com api key here -SERPER_API_KEY=#your serper.dev api key here -SERPAPI_KEY=#your serpapi key here -SERPSTACK_API_KEY=#your serpstack api key here -SEARCHAPI_KEY=#your searchapi api key here -USE_LOCAL_WEBSEARCH=#set to true to parse google results yourself, overrides other API keys -SEARXNG_QUERY_URL=# where '' will be replaced with query keywords see https://docs.searxng.org/dev/search_api.html eg https://searxng.yourdomain.com/search?q=&engines=duckduckgo,google&format=json -BING_SUBSCRIPTION_KEY=#your key -PLAYWRIGHT_ADBLOCKER=true -WEBSEARCH_ALLOWLIST=`[]` # if it's defined, allow websites from only this list. -WEBSEARCH_BLOCKLIST=`[]` # if it's defined, block websites from this list. -WEBSEARCH_JAVASCRIPT=true # CPU usage reduces by 60% on average by disabling javascript. Enable to improve website compatibility -WEBSEARCH_TIMEOUT = 3500 # in milliseconds, determines how long to wait to load a page before timing out - -# Parameters to enable open id login -OPENID_CONFIG=`{ - "PROVIDER_URL": "", - "CLIENT_ID": "", - "CLIENT_SECRET": "", - "SCOPES": "", - "NAME_CLAIM": "" -}` - -# /!\ legacy openid settings, prefer the config above -OPENID_CLIENT_ID= -OPENID_CLIENT_SECRET= -OPENID_SCOPES="openid profile" # Add "email" for some providers like Google that do not provide preferred_username -OPENID_NAME_CLAIM="name" # Change to "username" for some providers that do not provide name -OPENID_PROVIDER_URL=https://huggingface.co # for Google, use https://accounts.google.com -OPENID_TOLERANCE= -OPENID_RESOURCE= - -# Parameters to enable a global mTLS context for client fetch requests -USE_CLIENT_CERTIFICATE=false -CERT_PATH=# -KEY_PATH=# -CA_PATH=# -CLIENT_KEY_PASSWORD=# -REJECT_UNAUTHORIZED=true - -TEXT_EMBEDDING_MODELS = `[ - { - "name": "Xenova/gte-small", - "displayName": "Xenova/gte-small", - "description": "Local embedding model running on the server.", - "chunkCharLength": 512, - "endpoints": [ - { "type": "transformersjs" } - ] - } -]` - -# 'name', 'userMessageToken', 'assistantMessageToken' are required +### Models ### +## Models can support many different endpoints, check the documentation for more details MODELS=`[ { - "name": "mistralai/Mistral-7B-Instruct-v0.1", - "displayName": "mistralai/Mistral-7B-Instruct-v0.1", - "description": "Mistral 7B is a new Apache 2.0 model, released by Mistral AI that outperforms Llama2 13B in benchmarks.", - "websiteUrl": "https://mistral.ai/news/announcing-mistral-7b/", - "preprompt": "", - "chatPromptTemplate" : "{{#each messages}}{{#ifUser}}[INST] {{#if @first}}{{#if @root.preprompt}}{{@root.preprompt}}\n{{/if}}{{/if}}{{content}} [/INST]{{/ifUser}}{{#ifAssistant}}{{content}}{{/ifAssistant}}{{/each}}", - "parameters": { - "temperature": 0.1, - "top_p": 0.95, - "repetition_penalty": 1.2, - "top_k": 50, - "truncate": 3072, - "max_new_tokens": 1024, - "stop": [""] - }, + "name": "NousResearch/Hermes-3-Llama-3.1-8B", + "description": "Nous Research's latest Hermes 3 release in 8B size.", "promptExamples": [ { "title": "Write an email from bullet list", @@ -108,78 +41,160 @@ MODELS=`[ ] } ]` - -OLD_MODELS=`[]`# any removed models, `{ name: string, displayName?: string, id?: string }` -TASK_MODEL= # name of the model used for tasks such as summarizing title, creating query, etc. - -PUBLIC_ORIGIN=#https://huggingface.co -PUBLIC_SHARE_PREFIX=#https://hf.co/chat -PUBLIC_GOOGLE_ANALYTICS_ID=#G-XXXXXXXX / Leave empty to disable -PUBLIC_PLAUSIBLE_SCRIPT_URL=#/js/script.js / Leave empty to disable -PUBLIC_ANNOUNCEMENT_BANNERS=`[ - { - "title": "Code Llama 70B is available! 🦙", - "linkTitle": "try it", - "linkHref": "https://huggingface.co/chat?model=codellama/CodeLlama-70b-Instruct-hf" +## Text Embedding Models used for websearch +# Default is a model that runs locally on CPU. +TEXT_EMBEDDING_MODELS = `[ + { + "name": "Xenova/gte-small", + "displayName": "Xenova/gte-small", + "description": "Local embedding model running on the server.", + "chunkCharLength": 512, + "endpoints": [ + { "type": "transformersjs" } + ] } ]` -PUBLIC_APPLE_APP_ID=#1234567890 / Leave empty to disable +## Removed models, useful for migrating conversations +# { name: string, displayName?: string, id?: string, transferTo?: string }` +OLD_MODELS=`[]` -PARQUET_EXPORT_DATASET= -PARQUET_EXPORT_HF_TOKEN= -ADMIN_API_SECRET=# secret to admin API calls, like computing usage stats or exporting parquet data +## Task model +# name of the model used for tasks such as summarizing title, creating query, etc. +# if not set, the first model in MODELS will be used +TASK_MODEL= -PARQUET_EXPORT_SECRET=#DEPRECATED, use ADMIN_API_SECRET instead -RATE_LIMIT= # /!\ Legacy definition of messages per minute. Use USAGE_LIMITS.messagesPerMinute instead +### Authentication ### +# Parameters to enable open id login +OPENID_CONFIG= MESSAGES_BEFORE_LOGIN=# how many messages a user can send in a conversation before having to login. set to 0 to force login right away -PUBLIC_APP_GUEST_MESSAGE=# a message to the guest user. If not set, a default message will be used +# if it's defined, only these emails will be allowed to use login +ALLOWED_USER_EMAILS=`[]` +# valid alternative redirect URLs for OAuth, used for HuggingChat apps +ALTERNATIVE_REDIRECT_URLS=`[]` +### Cookies +# name of the cookie used to store the session +COOKIE_NAME=hf-chat +# specify secure behaviour for cookies +COOKIE_SAMESITE=# can be "lax", "strict", "none" or left empty +COOKIE_SECURE=# set to true to only allow cookies over https -APP_BASE="" # base path of the app, e.g. /chat, left blank as default + +### Websearch ### +## API Keys used to activate search with web functionality. websearch is disabled if none are defined. choose one of the following: +YDC_API_KEY=#your docs.you.com api key here +SERPER_API_KEY=#your serper.dev api key here +SERPAPI_KEY=#your serpapi key here +SERPSTACK_API_KEY=#your serpstack api key here +SEARCHAPI_KEY=#your searchapi api key here +USE_LOCAL_WEBSEARCH=#set to true to parse google results yourself, overrides other API keys +SEARXNG_QUERY_URL=# where '' will be replaced with query keywords see https://docs.searxng.org/dev/search_api.html eg https://searxng.yourdomain.com/search?q=&engines=duckduckgo,google&format=json +BING_SUBSCRIPTION_KEY=#your key +## Websearch configuration +PLAYWRIGHT_ADBLOCKER=true +WEBSEARCH_ALLOWLIST=`[]` # if it's defined, allow websites from only this list. +WEBSEARCH_BLOCKLIST=`[]` # if it's defined, block websites from this list. +WEBSEARCH_JAVASCRIPT=true # CPU usage reduces by 60% on average by disabling javascript. Enable to improve website compatibility +WEBSEARCH_TIMEOUT = 3500 # in milliseconds, determines how long to wait to load a page before timing out +ENABLE_LOCAL_FETCH=false #set to true to allow fetches on the local network. /!\ Only enable this if you have the proper firewall rules to prevent SSRF attacks and understand the implications. + + +## Public app configuration ## +PUBLIC_APP_GUEST_MESSAGE=# a message to the guest user. If not set, no message will be shown. Only used if you have authentication enabled. PUBLIC_APP_NAME=ChatUI # name used as title throughout the app PUBLIC_APP_ASSETS=chatui # used to find logos & favicons in static/$PUBLIC_APP_ASSETS -PUBLIC_APP_COLOR=blue # can be any of tailwind colors: https://tailwindcss.com/docs/customizing-colors#default-color-palette -PUBLIC_APP_DESCRIPTION=# description used throughout the app (if not set, a default one will be used) -PUBLIC_APP_DATA_SHARING=#set to 1 to enable options & text regarding data sharing -PUBLIC_APP_DISCLAIMER=#set to 1 to show a disclaimer on login page -PUBLIC_APP_DISCLAIMER_MESSAGE="Disclaimer: AI is an area of active research with known problems such as biased generation and misinformation. Do not use this application for high-stakes decisions or advice. Do not insert your personal data, especially sensitive, like health data." -LLM_SUMMARIZATION=true +PUBLIC_APP_DESCRIPTION=# description used throughout the app +PUBLIC_APP_DATA_SHARING=# Set to 1 to enable an option in the user settings to share conversations with model authors +PUBLIC_APP_DISCLAIMER=# Set to 1 to show a disclaimer on login page +PUBLIC_APP_DISCLAIMER_MESSAGE=# Message to show on the login page +PUBLIC_ANNOUNCEMENT_BANNERS=`[ + { + "title": "chat-ui is now open source!", + "linkTitle": "check it out", + "linkHref": "https://github.com/huggingface/chat-ui" + } +]` +PUBLIC_SMOOTH_UPDATES=false # set to true to enable smoothing of messages client-side, can be CPU intensive +PUBLIC_ORIGIN=#https://huggingface.co +PUBLIC_SHARE_PREFIX=#https://hf.co/chat + +# mostly huggingchat specific +PUBLIC_GOOGLE_ANALYTICS_ID=#G-XXXXXXXX / Leave empty to disable +PUBLIC_PLAUSIBLE_SCRIPT_URL=#/js/script.js / Leave empty to disable +PUBLIC_APPLE_APP_ID=#1234567890 / Leave empty to disable -EXPOSE_API=true -USE_HF_TOKEN_IN_API=false -# PUBLIC_APP_NAME=HuggingChat -# PUBLIC_APP_ASSETS=huggingchat -# PUBLIC_APP_COLOR=yellow -# PUBLIC_APP_DESCRIPTION="Making the community's best AI chat models available to everyone." -# PUBLIC_APP_DATA_SHARING=1 -# PUBLIC_APP_DISCLAIMER=1 +### Feature Flags ### +LLM_SUMMARIZATION=true # generate conversation titles with LLMs ENABLE_ASSISTANTS=false #set to true to enable assistants feature ENABLE_ASSISTANTS_RAG=false # /!\ This will let users specify arbitrary URLs that the server will then request. Make sure you have the proper firewall rules in place. -REQUIRE_FEATURED_ASSISTANTS=false -ENABLE_LOCAL_FETCH=false #set to true to disable the blocklist for local fetches. Only enable this if you have the proper firewall rules to prevent SSRF attacks and understand the implications. -ALTERNATIVE_REDIRECT_URLS=`[]` #valide alternative redirect URL for OAuth -WEBHOOK_URL_REPORT_ASSISTANT=#provide webhook url to get notified when an assistant gets reported +REQUIRE_FEATURED_ASSISTANTS=false # require featured assistants to show in the list +COMMUNITY_TOOLS=false # set to true to enable community tools +EXPOSE_API=true # make the /api routes available +ALLOW_IFRAME=true # Allow the app to be embedded in an iframe -ALLOWED_USER_EMAILS=`[]` # if it's defined, only these emails will be allowed to use the app +### Tools ### +# Check out public config in `chart/env/prod.yaml` for more details +TOOLS=`[]` + +### Rate limits ### +# See `src/lib/server/usageLimits.ts` +# { +# conversations: number, # how many conversations +# messages: number, # how many messages in a conversation +# assistants: number, # how many assistants +# messageLength: number, # how long can a message be before we cut it off +# messagesPerMinute: number, # how many messages per minute +# tools: number # how many tools +# } USAGE_LIMITS=`{}` -ALLOW_IFRAME=true -ALLOW_INSECURE_COOKIES=false # recommended to keep this to false but set to true if you need to run over http without tls + +### HuggingFace specific ### +# Let user authenticate with their HF token in the /api routes. This is only useful if you have OAuth configured with huggingface. +USE_HF_TOKEN_IN_API=false +## Feature flag & admin settings +# Used for setting early access & admin flags to users +HF_ORG_ADMIN= +HF_ORG_EARLY_ACCESS= +WEBHOOK_URL_REPORT_ASSISTANT=#provide slack webhook url to get notified for reports/feature requests + + + +### Metrics ### METRICS_ENABLED=false METRICS_PORT=5565 LOG_LEVEL=info -TOOLS=`[]` -BODY_SIZE_LIMIT=15728640 +### Parquet export ### +# Not in use anymore but useful to export conversations to a parquet file as a HuggingFace dataset +PARQUET_EXPORT_DATASET= +PARQUET_EXPORT_HF_TOKEN= +ADMIN_API_SECRET=# secret to admin API calls, like computing usage stats or exporting parquet data -HF_ORG_ADMIN= -HF_ORG_EARLY_ACCESS= -PUBLIC_SMOOTH_UPDATES=false -COMMUNITY_TOOLS=false +### Docker build variables ### +# These values cannot be updated at runtime +# They need to be passed when building the docker image +# See https://github.com/huggingface/chat-ui/main/.github/workflows/deploy-prod.yml#L44-L47 +APP_BASE="" # base path of the app, e.g. /chat, left blank as default +PUBLIC_APP_COLOR=blue # can be any of tailwind colors: https://tailwindcss.com/docs/customizing-colors#default-color-palette +### Body size limit for SvelteKit https://svelte.dev/docs/kit/adapter-node#Environment-variables-BODY_SIZE_LIMIT +BODY_SIZE_LIMIT=15728640 +PUBLIC_COMMIT_SHA= -PUBLIC_COMMIT_SHA= \ No newline at end of file +### LEGACY parameters +HF_ACCESS_TOKEN=#LEGACY! Use HF_TOKEN instead +ALLOW_INSECURE_COOKIES=false # LEGACY! Use COOKIE_SECURE and COOKIE_SAMESITE instead +PARQUET_EXPORT_SECRET=#DEPRECATED, use ADMIN_API_SECRET instead +RATE_LIMIT= # /!\ DEPRECATED definition of messages per minute. Use USAGE_LIMITS.messagesPerMinute instead +OPENID_CLIENT_ID= +OPENID_CLIENT_SECRET= +OPENID_SCOPES="openid profile" # Add "email" for some providers like Google that do not provide preferred_username +OPENID_NAME_CLAIM="name" # Change to "username" for some providers that do not provide name +OPENID_PROVIDER_URL=https://huggingface.co # for Google, use https://accounts.google.com +OPENID_TOLERANCE= +OPENID_RESOURCE= diff --git a/.github/workflows/build-image.yml b/.github/workflows/build-image.yml index e89cfe8ef28..846a0f285fe 100644 --- a/.github/workflows/build-image.yml +++ b/.github/workflows/build-image.yml @@ -61,6 +61,9 @@ jobs: username: ${{ github.repository_owner }} password: ${{ secrets.GITHUB_TOKEN }} + - name: Inject slug/short variables + uses: rlespinasse/github-slug-action@v4.5.0 + - name: Build and Publish Docker Image with DB uses: docker/build-push-action@v5 with: @@ -70,8 +73,11 @@ jobs: tags: ${{ steps.meta.outputs.tags }} labels: ${{ steps.meta.outputs.labels }} platforms: linux/amd64,linux/arm64 + cache-from: type=gha + cache-to: type=gha,mode=max build-args: | INCLUDE_DB=true + PUBLIC_COMMIT_SHA=${{ env.GITHUB_SHA_SHORT }} build-and-publish-image-nodb: runs-on: ubuntu-latest steps: @@ -115,6 +121,9 @@ jobs: username: ${{ github.repository_owner }} password: ${{ secrets.GITHUB_TOKEN }} + - name: Inject slug/short variables + uses: rlespinasse/github-slug-action@v4.5.0 + - name: Build and Publish Docker Image without DB uses: docker/build-push-action@v5 with: @@ -124,5 +133,8 @@ jobs: tags: ${{ steps.meta.outputs.tags }} labels: ${{ steps.meta.outputs.labels }} platforms: linux/amd64,linux/arm64 + cache-from: type=gha + cache-to: type=gha,mode=max build-args: | INCLUDE_DB=false + PUBLIC_COMMIT_SHA=${{ env.GITHUB_SHA_SHORT }} diff --git a/.github/workflows/deploy-prod.yml b/.github/workflows/deploy-prod.yml index b1e7980e03c..57286988ba0 100644 --- a/.github/workflows/deploy-prod.yml +++ b/.github/workflows/deploy-prod.yml @@ -29,6 +29,9 @@ jobs: - name: Set up Docker Buildx uses: docker/setup-buildx-action@v3 + - name: Inject slug/short variables + uses: rlespinasse/github-slug-action@v4.5.0 + - name: Build and Publish HuggingChat image uses: docker/build-push-action@v5 with: @@ -45,6 +48,7 @@ jobs: INCLUDE_DB=false APP_BASE=/chat PUBLIC_APP_COLOR=yellow + PUBLIC_COMMIT_SHA=${{ env.GITHUB_SHA_SHORT }} deploy: name: Deploy on prod runs-on: ubuntu-latest diff --git a/.github/workflows/lint-and-test.yml b/.github/workflows/lint-and-test.yml index 38992d5d595..5b892dd31b4 100644 --- a/.github/workflows/lint-and-test.yml +++ b/.github/workflows/lint-and-test.yml @@ -1,4 +1,5 @@ name: Lint and test + on: pull_request: push: @@ -25,19 +26,13 @@ jobs: - name: "Checking type errors" run: | npm run check + test: runs-on: ubuntu-latest timeout-minutes: 10 - services: - mongodb: - image: mongo:6.0.5 - ports: - - 27017:27017 - steps: - uses: actions/checkout@v3 - - uses: actions/setup-node@v3 with: node-version: "20" @@ -47,6 +42,7 @@ jobs: - name: "Tests" run: | npm run test + build-check: runs-on: ubuntu-latest timeout-minutes: 10 diff --git a/Dockerfile b/Dockerfile index 2c3d1aa5969..7f1dbb47ca4 100644 --- a/Dockerfile +++ b/Dockerfile @@ -1,8 +1,43 @@ # syntax=docker/dockerfile:1 -# read the doc: https://huggingface.co/docs/hub/spaces-sdks-docker -# you will also find guides on how best to write your Dockerfile ARG INCLUDE_DB=false +FROM node:20-slim AS base +ENV PLAYWRIGHT_SKIP_BROWSER_GC=1 + +# install dotenv-cli +RUN npm install -g dotenv-cli + +# switch to a user that works for spaces +RUN userdel -r node +RUN useradd -m -u 1000 user +USER user + +ENV HOME=/home/user \ + PATH=/home/user/.local/bin:$PATH + +WORKDIR /app + +# add a .env.local if the user doesn't bind a volume to it +RUN touch /app/.env.local + + +RUN npm i --no-package-lock --no-save playwright@1.47.0 +USER root +RUN apt-get update +RUN apt-get install gnupg curl -y +RUN npx playwright install --with-deps chromium +RUN chown -R 1000:1000 /home/user/.npm +USER user + +COPY --chown=1000 .env /app/.env +COPY --chown=1000 entrypoint.sh /app/entrypoint.sh +COPY --chown=1000 gcp-*.json /app/ +COPY --chown=1000 package.json /app/package.json +COPY --chown=1000 package-lock.json /app/package-lock.json + +RUN chmod +x /app/entrypoint.sh + + FROM node:20 AS builder WORKDIR /app @@ -20,28 +55,25 @@ RUN --mount=type=cache,target=/app/.npm \ COPY --link --chown=1000 . . RUN git config --global --add safe.directory /app && \ - PUBLIC_COMMIT_SHA=$(git rev-parse HEAD) && \ - echo "PUBLIC_COMMIT_SHA=$PUBLIC_COMMIT_SHA" >> /app/.env && \ npm run build # mongo image FROM mongo:7 AS mongo # image to be used if INCLUDE_DB is false -FROM node:20-slim AS local_db_false +FROM base AS local_db_false # image to be used if INCLUDE_DB is true -FROM node:20-slim AS local_db_true +FROM base AS local_db_true -RUN apt-get update -RUN apt-get install gnupg curl -y # copy mongo from the other stage COPY --from=mongo /usr/bin/mongo* /usr/bin/ ENV MONGODB_URL=mongodb://localhost:27017 +USER root RUN mkdir -p /data/db RUN chown -R 1000:1000 /data/db - +USER user # final image FROM local_db_${INCLUDE_DB} AS final @@ -53,40 +85,11 @@ ENV INCLUDE_DB=${INCLUDE_DB} ARG APP_BASE= # tailwind requires the primary theme to be known at build time so it must be passed as a build arg ARG PUBLIC_APP_COLOR=blue +ARG PUBLIC_COMMIT_SHA= +ENV PUBLIC_COMMIT_SHA=${PUBLIC_COMMIT_SHA} ENV BODY_SIZE_LIMIT=15728640 - -# install dotenv-cli -RUN npm install -g dotenv-cli - -# switch to a user that works for spaces -RUN userdel -r node -RUN useradd -m -u 1000 user -USER user - -ENV HOME=/home/user \ - PATH=/home/user/.local/bin:$PATH - -WORKDIR /app - -# add a .env.local if the user doesn't bind a volume to it -RUN touch /app/.env.local - -# get the default config, the entrypoint script and the server script -COPY --chown=1000 package.json /app/package.json -COPY --chown=1000 .env /app/.env -COPY --chown=1000 entrypoint.sh /app/entrypoint.sh -COPY --chown=1000 gcp-*.json /app/ - #import the build & dependencies COPY --from=builder --chown=1000 /app/build /app/build COPY --from=builder --chown=1000 /app/node_modules /app/node_modules -RUN npx playwright install - -USER root -RUN npx playwright install-deps -USER user - -RUN chmod +x /app/entrypoint.sh - CMD ["/bin/bash", "-c", "/app/entrypoint.sh"] diff --git a/README.md b/README.md index 61ef371eb52..598d1e37852 100644 --- a/README.md +++ b/README.md @@ -19,6 +19,18 @@ A chat interface using open source models, eg OpenAssistant or Llama. It is a Sv ## Quickstart +### Docker image + +You can deploy a chat-ui instance in a single command using the docker image. Get your huggingface token from [here](https://huggingface.co/settings/tokens). + +```bash +docker run -p 3000 -e HF_TOKEN=hf_*** -v db:/data ghcr.io/huggingface/chat-ui-db:latest +``` + +Take a look at the [`.env` file](https://github.com/huggingface/chat-ui/blob/main/.env) and the readme to see all the environment variables that you can set. We have endpoint support for all OpenAI API compatible local services as well as many other providers like Anthropic, Cloudflare, Google Vertex AI, etc. + +### Local setup + You can quickly start a locally running chat-ui & LLM text-generation server thanks to chat-ui's [llama.cpp server support](https://huggingface.co/docs/chat-ui/configuration/models/providers/llamacpp). **Step 1 (Start llama.cpp server):** @@ -45,22 +57,29 @@ llama-server --hf-repo microsoft/Phi-3-mini-4k-instruct-gguf --hf-file Phi-3-min A local LLaMA.cpp HTTP Server will start on `http://localhost:8080`. Read more [here](https://huggingface.co/docs/chat-ui/configuration/models/providers/llamacpp). -**Step 2 (tell chat-ui to use local llama.cpp server):** +**Step 3 (make sure you have MongoDb running locally):** + +```bash +docker run -d -p 27017:27017 --name mongo-chatui mongo:latest +``` + +Read more [here](#database). + +**Step 4 (clone chat-ui):** + +```bash +git clone https://github.com/huggingface/chat-ui +cd chat-ui +``` + +**Step 5 (tell chat-ui to use local llama.cpp server):** Add the following to your `.env.local`: ```ini MODELS=`[ { - "name": "Local microsoft/Phi-3-mini-4k-instruct-gguf", - "tokenizer": "microsoft/Phi-3-mini-4k-instruct-gguf", - "preprompt": "", - "parameters": { - "stop": ["<|end|>", "<|endoftext|>", "<|assistant|>"], - "temperature": 0.7, - "max_new_tokens": 1024, - "truncate": 3071 - }, + "name": "microsoft/Phi-3-mini-4k-instruct", "endpoints": [{ "type" : "llamacpp", "baseURL": "http://localhost:8080" @@ -69,23 +88,11 @@ MODELS=`[ ]` ``` -The `tokenizer` field will be used to find the appropriate chat template for the model. Make sure to fill in a valid model from the Hugging Face hub. - Read more [here](https://huggingface.co/docs/chat-ui/configuration/models/providers/llamacpp). -**Step 3 (make sure you have MongoDb running locally):** - -```bash -docker run -d -p 27017:27017 --name mongo-chatui mongo:latest -``` - -Read more [here](#database). - -**Step 4 (start chat-ui):** +**Step 6 (start chat-ui):** ```bash -git clone https://github.com/huggingface/chat-ui -cd chat-ui npm install npm run dev -- --open ``` @@ -100,7 +107,7 @@ If you don't want to configure, setup, and launch your own Chat UI yourself, you You can deploy your own customized Chat UI instance with any supported [LLM](https://huggingface.co/models?pipeline_tag=text-generation&sort=trending) of your choice on [Hugging Face Spaces](https://huggingface.co/spaces). To do so, use the chat-ui template [available here](https://huggingface.co/new-space?template=huggingchat/chat-ui-template). -Set `HF_TOKEN` in [Space secrets](https://huggingface.co/docs/hub/spaces-overview#managing-secrets-and-environment-variables) to deploy a model with gated access or a model in a private repository. It's also compatible with [Inference for PROs](https://huggingface.co/blog/inference-pro) curated list of powerful models with higher rate limits. Make sure to create your personal token first in your [User Access Tokens settings](https://huggingface.co/settings/tokens). +Set `HF_TOKEN` in [Space secrets](https://huggingface.co/docs/hub/spaces-overview#managing-secrets) to deploy a model with gated access or a model in a private repository. It's also compatible with [Inference for PROs](https://huggingface.co/blog/inference-pro) curated list of powerful models with higher rate limits. Make sure to create your personal token first in your [User Access Tokens settings](https://huggingface.co/settings/tokens). Read the full tutorial [here](https://huggingface.co/docs/hub/spaces-sdks-docker-chatui#chatui-on-spaces). @@ -309,7 +316,7 @@ The following is the default `chatPromptTemplate`, although newlines and indenti #### Multi modal model -We currently support [IDEFICS](https://huggingface.co/blog/idefics) (hosted on TGI), OpenAI and Claude 3 as multimodal models. You can enable it by setting `multimodal: true` in your `MODELS` configuration. For IDEFICS, you must have a [PRO HF Api token](https://huggingface.co/settings/tokens). For OpenAI, see the [OpenAI section](#OpenAI). For Anthropic, see the [Anthropic section](#anthropic). +We currently support [IDEFICS](https://huggingface.co/blog/idefics) (hosted on TGI), OpenAI and Claude 3 as multimodal models. You can enable it by setting `multimodal: true` in your `MODELS` configuration. For IDEFICS, you must have a [PRO HF Api token](https://huggingface.co/settings/tokens). For OpenAI, see the [OpenAI section](#openai-api-compatible-models). For Anthropic, see the [Anthropic section](#anthropic). ```env { @@ -688,7 +695,7 @@ You can get the `accessKey` and `secretKey` from your AWS user, under programmat You can also use Cloudflare Workers AI to run your own models with serverless inference. -You will need to have a Cloudflare account, then get your [account ID](https://developers.cloudflare.com/fundamentals/setup/find-account-and-zone-ids/) as well as your [API token](https://developers.cloudflare.com/workers-ai/get-started/rest-api/#1-get-an-api-token) for Workers AI. +You will need to have a Cloudflare account, then get your [account ID](https://developers.cloudflare.com/fundamentals/setup/find-account-and-zone-ids/) as well as your [API token](https://developers.cloudflare.com/workers-ai/get-started/rest-api/#1-get-api-token-and-account-id) for Workers AI. You can either specify them directly in your `.env.local` using the `CLOUDFLARE_ACCOUNT_ID` and `CLOUDFLARE_API_TOKEN` variables, or you can set them directly in the endpoint config. @@ -908,7 +915,7 @@ MODELS=`[ ### 403：You don't have access to this conversation -Most likely you are running chat-ui over HTTP. The recommended option is to setup something like NGINX to handle HTTPS and proxy the requests to chat-ui. If you really need to run over HTTP you can add `ALLOW_INSECURE_COOKIES=true` to your `.env.local`. +Most likely you are running chat-ui over HTTP. The recommended option is to setup something like NGINX to handle HTTPS and proxy the requests to chat-ui. If you really need to run over HTTP you can add `COOKIE_SECURE=false` and `COOKIE_SAMESITE=lax` to your `.env.local`. Make sure to set your `PUBLIC_ORIGIN` in your `.env.local` to the correct URL as well. @@ -993,3 +1000,13 @@ npm run populate users settings assistants conversations ``` to populate the database with fake data, including fake conversations and assistants for your user. + +### Building the docker images locally + +You can build the docker images locally using the following commands: + +```bash +docker build -t chat-ui-db:latest --build-arg INCLUDE_DB=true . +docker build -t chat-ui:latest --build-arg INCLUDE_DB=false . +docker build -t huggingchat:latest --build-arg INCLUDE_DB=false --build-arg APP_BASE=/chat --build-arg PUBLIC_APP_COLOR=yellow . +``` diff --git a/chart/env/prod.yaml b/chart/env/prod.yaml index 5144b56c7a7..b63c3b47c39 100644 --- a/chart/env/prod.yaml +++ b/chart/env/prod.yaml @@ -14,6 +14,12 @@ serviceAccount: create: true name: huggingchat-prod +networkPolicy: + enabled: true + allowedBlocks: + - 10.0.252.0/25 + - 10.240.0.0/24 + ingress: path: "/chat" annotations: @@ -43,11 +49,39 @@ envVars: MODELS: > [ { - "name": "meta-llama/Meta-Llama-3.1-70B-Instruct", - "id": "meta-llama/Meta-Llama-3.1-70B-Instruct", - "tokenizer": "nsarrazin/llama3.1-tokenizer", - "description": "Ideal for everyday use. A fast and extremely capable model matching closed source models' capabilities.", - "modelUrl": "https://huggingface.co/meta-llama/Meta-Llama-3.1-70B-Instruct", + "name": "Qwen/Qwen2.5-72B-Instruct", + "description": "The latest Qwen open model with improved role-playing, long text generation and structured data understanding.", + "modelUrl": "https://huggingface.co/Qwen/Qwen2.5-72B-Instruct", + "websiteUrl": "https://qwenlm.github.io/blog/qwen2.5/", + "logoUrl": "https://huggingface.co/datasets/huggingchat/models-logo/resolve/main/qwen-logo.png", + "preprompt": "You are Qwen, created by Alibaba Cloud. You are a helpful assistant.", + "parameters": { + "stop": ["<|endoftext|>", "<|im_end|>"], + "temperature": 0.6, + "truncate": 28672, + "max_new_tokens": 3072 + }, + "tools": true, + "promptExamples": [ + { + "title": "Write an email from bullet list", + "prompt": "As a restaurant owner, write a professional email to the supplier to get these products every week: \n\n- Wine (x10)\n- Eggs (x24)\n- Bread (x12)" + }, + { + "title": "Code a snake game", + "prompt": "Code a basic snake game in python, give explanations for each step." + }, + { + "title": "Assist in a task", + "prompt": "How do I make a delicious lemon cheesecake?" + } + ] + }, + { + "name": "meta-llama/Llama-3.3-70B-Instruct", + "id": "meta-llama/Llama-3.3-70B-Instruct", + "description": "Ideal for everyday use. A fast and extremely capable model matching closed source models' capabilities. Now with the latest Llama 3.3 weights!", + "modelUrl": "https://huggingface.co/meta-llama/Llama-3.3-70B-Instruct", "websiteUrl": "https://llama.meta.com/", "logoUrl": "https://huggingface.co/datasets/huggingchat/models-logo/resolve/main/meta-logo.png", "tools": true, @@ -75,7 +109,6 @@ envVars: }, { "name": "CohereForAI/c4ai-command-r-plus-08-2024", - "tokenizer": "nsarrazin/c4ai-command-r-v01-tokenizer", "description": "Cohere's largest language model, optimized for conversational interaction and tool use. Now with the 2024 update!", "modelUrl": "https://huggingface.co/CohereForAI/c4ai-command-r-plus-08-2024", "websiteUrl": "https://docs.cohere.com/docs/command-r-plus", @@ -103,31 +136,36 @@ envVars: ] }, { - "name": "Qwen/Qwen2.5-72B-Instruct", - "tokenizer": "Qwen/Qwen2.5-72B-Instruct", - "description": "The latest Qwen open model with improved role-playing, long text generation and structured data understanding.", - "modelUrl": "https://huggingface.co/Qwen/Qwen2.5-72B-Instruct", - "websiteUrl": "https://qwenlm.github.io/blog/qwen2.5/", + "name": "Qwen/QwQ-32B-Preview", + "preprompt": "You are a helpful and harmless assistant. You are Qwen developed by Alibaba. You should think step-by-step.", + "modelUrl": "https://huggingface.co/Qwen/QwQ-32B-Preview", + "websiteUrl": "https://qwenlm.github.io/blog/qwq-32b-preview/", "logoUrl": "https://huggingface.co/datasets/huggingchat/models-logo/resolve/main/qwen-logo.png", - "preprompt": "You are Qwen, created by Alibaba Cloud. You are a helpful assistant.", + "description": "QwQ is an experiment model from the Qwen Team with advanced reasoning capabilities.", + "reasoning": { + "type": "summarize" + }, "parameters": { - "stop": ["<|endoftext|>", "<|im_end|>"], - "temperature": 0.6, - "truncate": 28672, - "max_new_tokens": 3072 + "stop": ["<|im_end|>"], + "truncate": 12288, + "max_new_tokens": 4096, + "temperature": 0.7, + "top_k": 20, + "top_p": 0.8, + "repetition_penalty": 1.05 }, "promptExamples": [ { - "title": "Write an email from bullet list", - "prompt": "As a restaurant owner, write a professional email to the supplier to get these products every week: \n\n- Wine (x10)\n- Eggs (x24)\n- Bread (x12)" + "title": "Rs in strawberry", + "prompt": "how many R in strawberry?" }, { - "title": "Code a snake game", - "prompt": "Code a basic snake game in python, give explanations for each step." + "title": "Larger number", + "prompt": "9.11 or 9.9 which number is larger?" }, { - "title": "Assist in a task", - "prompt": "How do I make a delicious lemon cheesecake?" + "title": "Measuring 6 liters", + "prompt": "I have a 6- and a 12-liter jug. I want to measure exactly 6 liters." } ] }, @@ -163,6 +201,38 @@ envVars: "baseURL": "https://api-inference.huggingface.co/models/nvidia/Llama-3.1-Nemotron-70B-Instruct-HF/v1" }] }, + { + "name": "Qwen/Qwen2.5-Coder-32B-Instruct", + "description": "Qwen's latest coding model, in its biggest size yet. SOTA on many coding benchmarks.", + "modelUrl": "https://huggingface.co/Qwen/Qwen2.5-Coder-32B-Instruct", + "websiteUrl": "https://qwenlm.github.io/blog/qwen2.5-coder-family/", + "logoUrl": "https://huggingface.co/datasets/huggingchat/models-logo/resolve/main/qwen-logo.png", + "preprompt": "You are Qwen, created by Alibaba Cloud. You are a helpful assistant.", + "parameters": { + "stop": ["<|im_end|>", "<|endoftext|>"], + "temperature": 0.6, + "truncate": 28672, + "max_new_tokens": 3072 + }, + "promptExamples": [ + { + "title": "To-do list web app", + "prompt": "Create a simple to-do list application where users can:\n- Add new tasks.\n- Mark tasks as complete.\n- Delete completed tasks.\nThe tasks should persist in the browser's local storage so that they remain available even after a page reload.\n" + }, + { + "title": "Create a REST API", + "prompt": "Build a simple REST API using Node.js, TypeScript and Express:\n- POST /items: Accepts a JSON body with name and quantity and adds a new item.\n- GET /items: Returns a list of all items.\n- PUT /items/:id: Updates the name or quantity of an item by its id.\n- DELETE /items/:id: Removes an item by its id.\nUse an in-memory array as the data store (no need for a database). Include basic error handling (e.g., item not found)." + }, + { + "title": "Simple website", + "prompt": "Generate a snazzy static landing page for a local coffee shop using HTML and CSS. You can use tailwind using ." + } + ], + "endpoints": [{ + "type": "openai", + "baseURL": "https://api-inference.huggingface.co/models/Qwen/Qwen2.5-Coder-32B-Instruct/v1" + }] + }, { "name": "meta-llama/Llama-3.2-11B-Vision-Instruct", "logoUrl": "https://huggingface.co/datasets/huggingchat/models-logo/resolve/main/meta-logo.png", @@ -278,10 +348,6 @@ envVars: }, { "name": "llhf/Meta-Llama-3.1-8B-Instruct", - "tokenizer": { - "tokenizerUrl": "https://huggingface.co/nsarrazin/llama3.1-tokenizer/resolve/main/tokenizer.json", - "tokenizerConfigUrl": "https://huggingface.co/nsarrazin/llama3.1-tokenizer/raw/main/tokenizer_config.json" - }, "parameters": { "temperature": 0.6, "stop": ["<|endoftext|>", "<|eot_id|>"] @@ -330,11 +396,22 @@ envVars: { "name": "microsoft/Phi-3-mini-4k-instruct", "transferTo": "microsoft/Phi-3.5-mini-instruct" + }, + { + "name": "meta-llama/Meta-Llama-3.1-70B-Instruct", + "transferTo": "meta-llama/Llama-3.3-70B-Instruct" } ] PUBLIC_ORIGIN: "https://huggingface.co" PUBLIC_SHARE_PREFIX: "https://hf.co/chat" - PUBLIC_ANNOUNCEMENT_BANNERS: "[]" + PUBLIC_ANNOUNCEMENT_BANNERS: > + [ + { + "title": "Llama 3.3 70B is now available!", + "linkTitle": "Try it out!", + "linkHref": "https://huggingface.co/chat/models/meta-llama/Llama-3.3-70B-Instruct" + } + ] PUBLIC_APP_NAME: "HuggingChat" PUBLIC_APP_ASSETS: "huggingchat" PUBLIC_APP_COLOR: "yellow" @@ -434,7 +511,8 @@ envVars: ], "outputComponent": "textbox", "outputComponentIdx": 0, - "showOutput": false + "showOutput": false, + "isHidden": true }, { "_id": "000000000000000000000003", diff --git a/chart/templates/network-policy.yaml b/chart/templates/network-policy.yaml new file mode 100644 index 00000000000..59f5df5893a --- /dev/null +++ b/chart/templates/network-policy.yaml @@ -0,0 +1,36 @@ +{{- if $.Values.networkPolicy.enabled }} +apiVersion: networking.k8s.io/v1 +kind: NetworkPolicy +metadata: + name: {{ include "name" . }} + namespace: {{ .Release.Namespace }} +spec: + egress: + - ports: + - port: 53 + protocol: UDP + to: + - namespaceSelector: + matchLabels: + kubernetes.io/metadata.name: kube-system + podSelector: + matchLabels: + k8s-app: kube-dns + - to: + {{- range $ip := .Values.networkPolicy.allowedBlocks }} + - ipBlock: + cidr: {{ $ip | quote }} + {{- end }} + - to: + - ipBlock: + cidr: 0.0.0.0/0 + except: + - 10.0.0.0/8 + - 172.16.0.0/12 + - 192.168.0.0/16 + - 169.254.169.254/32 + podSelector: + matchLabels: {{ include "labels.standard" . | nindent 6 }} + policyTypes: + - Egress +{{- end }} diff --git a/chart/values.yaml b/chart/values.yaml index cd7d0e5ce59..b55ba1a04cc 100644 --- a/chart/values.yaml +++ b/chart/values.yaml @@ -8,6 +8,10 @@ replicas: 3 domain: huggingface.co +networkPolicy: + enabled: false + allowedBlocks: [] + service: type: NodePort annotations: { } diff --git a/docs/source/configuration/embeddings.md b/docs/source/configuration/embeddings.md index 7655228048a..ad853725ca1 100644 --- a/docs/source/configuration/embeddings.md +++ b/docs/source/configuration/embeddings.md @@ -79,4 +79,27 @@ TEXT_EMBEDDING_MODELS=`[ ## OpenAI -Please contribute an example! +It's also possible to host your own OpenAI API compatible embedding models. [`Infinity`](https://github.com/michaelfeil/infinity) is one example. You may run it locally with Docker: + +`docker run -it --gpus all -v infinity-data:/app/.cache -p 7997:7997 michaelf34/infinity:latest v2 --model-id nomic-ai/nomic-embed-text-v1 --port 7997` + +You can then hook this up to your Chat UI instance with the following configuration. + +```ini +TEXT_EMBEDDING_MODELS=`[ + { + "name": "nomic-ai/nomic-embed-text-v1", + "displayName": "nomic-ai/nomic-embed-text-v1", + "chunkCharLength": 512, + "model": { + "name": "nomic-ai/nomic-embed-text-v1" + }, + "endpoints": [ + { + "type": "openai", + "url": "https://127.0.0.1:7997/embeddings" + } + ] + } +]` +``` diff --git a/docs/source/configuration/models/providers/openai.md b/docs/source/configuration/models/providers/openai.md index ad8c4721145..fecbf61ba45 100644 --- a/docs/source/configuration/models/providers/openai.md +++ b/docs/source/configuration/models/providers/openai.md @@ -53,6 +53,25 @@ MODELS=`[{ }]` ``` +We also support models in the `o1` family. You need to add a few more options ot the config: Here is an example for `o1-mini`: + +```ini +MODELS=`[ + { + "name": "o1-mini", + "description": "ChatGPT o1-mini", + "systemRoleSupported": false, + "parameters": { + "max_new_tokens": 2048, + }, + "endpoints" : [{ + "type": "openai", + "useCompletionTokens": true, + }] + } +] +``` + You may also consume any model provider that provides compatible OpenAI API endpoint. For example, you may self-host [Portkey](https://github.com/Portkey-AI/gateway) gateway and experiment with Claude or GPTs offered by Azure OpenAI. Example for Claude from Anthropic: ```ini diff --git a/docs/source/configuration/models/providers/tgi.md b/docs/source/configuration/models/providers/tgi.md index 04a56f5aa18..721cf023e9a 100644 --- a/docs/source/configuration/models/providers/tgi.md +++ b/docs/source/configuration/models/providers/tgi.md @@ -9,7 +9,7 @@ \* Multimodal is only supported with the IDEFICS model. Please see the [Multimodal](../multimodal) section. -By default, if `endpoints` are left unspecified, Chat UI will look for the model on the hosted Hugging Face inference API using the model name, and use your `HF_TOKEN`. Refer to the [overview](/configuration/models/overview) for more information about model configuration. +By default, if `endpoints` are left unspecified, Chat UI will look for the model on the hosted Hugging Face inference API using the model name, and use your `HF_TOKEN`. Refer to the [overview](../overview) for more information about model configuration. ```ini MODELS=`[ @@ -62,5 +62,5 @@ MODELS=`[{ "type" : "tgi", "url": "https://HOST:PORT", }] -}] +}]` ``` diff --git a/package-lock.json b/package-lock.json index 85a225810fe..7319be5a7e9 100644 --- a/package-lock.json +++ b/package-lock.json @@ -1,19 +1,19 @@ { "name": "chat-ui", - "version": "0.9.3", + "version": "0.9.4", "lockfileVersion": 3, "requires": true, "packages": { "": { "name": "chat-ui", - "version": "0.9.3", + "version": "0.9.4", "dependencies": { "@aws-sdk/credential-providers": "^3.592.0", "@cliqz/adblocker-playwright": "^1.27.2", - "@gradio/client": "^1.1.1", + "@gradio/client": "^1.8.0", "@huggingface/hub": "^0.5.1", - "@huggingface/inference": "^2.7.0", - "@huggingface/transformers": "^3.0.0-alpha.6", + "@huggingface/inference": "^2.8.1", + "@huggingface/transformers": "^3.1.1", "@iconify-json/bi": "^1.1.21", "@playwright/browser-chromium": "^1.43.1", "@resvg/resvg-js": "^2.6.2", @@ -23,7 +23,7 @@ "browser-image-resizer": "^2.4.1", "date-fns": "^2.29.3", "dotenv": "^16.0.3", - "express": "^4.21.0", + "express": "^4.21.2", "file-type": "^19.4.1", "google-auth-library": "^9.13.0", "handlebars": "^4.7.8", @@ -35,9 +35,9 @@ "jsdom": "^22.0.0", "json5": "^2.2.3", "jsonpath": "^1.1.1", + "katex": "^0.16.11", "lint-staged": "^15.2.7", "marked": "^12.0.1", - "marked-katex-extension": "^5.0.1", "mongodb": "^5.8.0", "nanoid": "^4.0.2", "openid-client": "^5.4.2", @@ -62,13 +62,14 @@ "@iconify-json/carbon": "^1.1.16", "@iconify-json/eos-icons": "^1.1.6", "@sveltejs/adapter-node": "^5.2.0", - "@sveltejs/kit": "^2.5.20", + "@sveltejs/kit": "^2.8.3", "@tailwindcss/typography": "^0.5.9", "@types/dompurify": "^3.0.5", "@types/express": "^4.17.21", "@types/js-yaml": "^4.0.9", "@types/jsdom": "^21.1.1", "@types/jsonpath": "^0.2.4", + "@types/katex": "^0.16.7", "@types/mime-types": "^2.1.4", "@types/minimist": "^1.2.5", "@types/node": "^22.1.0", @@ -84,6 +85,7 @@ "isomorphic-dompurify": "^2.13.0", "js-yaml": "^4.1.0", "minimist": "^1.2.8", + "mongodb-memory-server": "^10.1.2", "prettier": "^2.8.0", "prettier-plugin-svelte": "^2.10.1", "prettier-plugin-tailwindcss": "^0.2.7", @@ -94,12 +96,12 @@ "tslib": "^2.4.1", "typescript": "^5.0.0", "unplugin-icons": "^0.16.1", - "vite": "^5.3.5", + "vite": "^5.4.11", "vite-node": "^1.3.1", - "vitest": "^0.31.0" + "vitest": "^2.1.4" }, "optionalDependencies": { - "@anthropic-ai/sdk": "^0.25.0", + "@anthropic-ai/sdk": "^0.32.1", "@anthropic-ai/vertex-sdk": "^0.4.1", "@aws-sdk/client-bedrock-runtime": "^3.631.0", "@google-cloud/vertexai": "^1.1.0", @@ -263,9 +265,9 @@ } }, "node_modules/@anthropic-ai/sdk": { - "version": "0.25.2", - "resolved": "https://registry.npmjs.org/@anthropic-ai/sdk/-/sdk-0.25.2.tgz", - "integrity": "sha512-F1Hck/asswwidFLtGdMg3XYgRxEUfygNbpkq5KEaEGsHNaSfxeX18/uZGQCL0oQNcj/tYNx8BaFXVwRhFDi45g==", + "version": "0.32.1", + "resolved": "https://registry.npmjs.org/@anthropic-ai/sdk/-/sdk-0.32.1.tgz", + "integrity": "sha512-U9JwTrDvdQ9iWuABVsMLj8nJVwAyQz6QXvgLsVhryhCEPkLsbcP/MXxm+jYcAwLoV8ESbaTTjnD4kuAFa+Hyjg==", "optional": true, "dependencies": { "@types/node": "^18.11.18", @@ -1329,17 +1331,19 @@ } }, "node_modules/@bundled-es-modules/cookie": { - "version": "2.0.0", - "resolved": "https://registry.npmjs.org/@bundled-es-modules/cookie/-/cookie-2.0.0.tgz", - "integrity": "sha512-Or6YHg/kamKHpxULAdSqhGqnWFneIXu1NKvvfBBzKGwpVsYuFIQ5aBPHDnnoR3ghW1nvSkALd+EF9iMtY7Vjxw==", + "version": "2.0.1", + "resolved": "https://registry.npmjs.org/@bundled-es-modules/cookie/-/cookie-2.0.1.tgz", + "integrity": "sha512-8o+5fRPLNbjbdGRRmJj3h6Hh1AQJf2dk3qQ/5ZFb+PXkRNiSoMGGUKlsgLfrxneb72axVJyIYji64E2+nNfYyw==", + "license": "ISC", "dependencies": { - "cookie": "^0.5.0" + "cookie": "^0.7.2" } }, "node_modules/@bundled-es-modules/cookie/node_modules/cookie": { - "version": "0.5.0", - "resolved": 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- "node": "^14.18.0 || >=16.0.0" - }, - "funding": { - "url": "https://github.com/vitejs/vite?sponsor=1" - }, - "optionalDependencies": { - "fsevents": "~2.3.2" - }, - "peerDependencies": { - "@types/node": ">= 14", - "less": "*", - "lightningcss": "^1.21.0", - "sass": "*", - "stylus": "*", - "sugarss": "*", - "terser": "^5.4.0" - }, - "peerDependenciesMeta": { - "@types/node": { - "optional": true - }, - "less": { - "optional": true - }, - "lightningcss": { - "optional": true - }, - "sass": { - "optional": true - }, - "stylus": { - "optional": true - }, - "sugarss": { - "optional": true - }, - "terser": { - "optional": true } } }, "node_modules/vitest/node_modules/vite-node": { - "version": "0.31.4", - "resolved": "https://registry.npmjs.org/vite-node/-/vite-node-0.31.4.tgz", - "integrity": "sha512-uzL377GjJtTbuc5KQxVbDu2xfU/x0wVjUtXQR2ihS21q/NK6ROr4oG0rsSkBBddZUVCwzfx22in76/0ZZHXgkQ==", + "version": "2.1.4", + "resolved": "https://registry.npmjs.org/vite-node/-/vite-node-2.1.4.tgz", + "integrity": "sha512-kqa9v+oi4HwkG6g8ufRnb5AeplcRw8jUF6/7/Qz1qRQOXHImG8YnLbB+LLszENwFnoBl9xIf9nVdCFzNd7GQEg==", "dev": true, + "license": "MIT", "dependencies": { "cac": "^6.7.14", - "debug": "^4.3.4", - "mlly": "^1.2.0", - "pathe": "^1.1.0", - "picocolors": "^1.0.0", - "vite": "^3.0.0 || ^4.0.0" + "debug": "^4.3.7", + "pathe": "^1.1.2", + "vite": "^5.0.0" }, "bin": { "vite-node": "vite-node.mjs" }, "engines": { - "node": ">=v14.18.0" + "node": "^18.0.0 || >=20.0.0" }, "funding": { "url": "https://opencollective.com/vitest" @@ -13086,15 +12993,6 @@ "integrity": "sha512-66/V2i5hQanC51vBQKPH4aI8NMAcBW59FVBs+rC7eGHupMyfn34q7rZIE+ETlJ+XTevqfUhVVBgSUNSW2flEUQ==", "dev": true }, - "node_modules/well-known-symbols": { - "version": "2.0.0", - "resolved": "https://registry.npmjs.org/well-known-symbols/-/well-known-symbols-2.0.0.tgz", - "integrity": "sha512-ZMjC3ho+KXo0BfJb7JgtQ5IBuvnShdlACNkKkdsqBmYw3bPAaJfPeYUo6tLUaT5tG/Gkh7xkpBhKRQ9e7pyg9Q==", - "dev": true, - "engines": { - "node": ">=6" - } - }, "node_modules/whatwg-encoding": { "version": "2.0.0", "resolved": "https://registry.npmjs.org/whatwg-encoding/-/whatwg-encoding-2.0.0.tgz", @@ -13388,6 +13286,30 @@ "node": ">=8" } }, + "node_modules/yauzl": { + "version": "3.2.0", + "resolved": "https://registry.npmjs.org/yauzl/-/yauzl-3.2.0.tgz", + "integrity": "sha512-Ow9nuGZE+qp1u4JIPvg+uCiUr7xGQWdff7JQSk5VGYTAZMDe2q8lxJ10ygv10qmSj031Ty/6FNJpLO4o1Sgc+w==", + "dev": true, + "license": "MIT", + "dependencies": { + "buffer-crc32": "~0.2.3", + "pend": "~1.2.0" + }, + "engines": { + "node": ">=12" + } + }, + "node_modules/yauzl/node_modules/buffer-crc32": { + "version": "0.2.13", + "resolved": "https://registry.npmjs.org/buffer-crc32/-/buffer-crc32-0.2.13.tgz", + "integrity": "sha512-VO9Ht/+p3SN7SKWqcrgEzjGbRSJYTx+Q1pTQC0wrWqHx0vpJraQ6GtHx8tvcg1rlK1byhU5gccxgOgj7B0TDkQ==", + "dev": true, + "license": "MIT", + "engines": { + "node": "*" + } + }, "node_modules/yn": { "version": "3.1.1", "resolved": "https://registry.npmjs.org/yn/-/yn-3.1.1.tgz", @@ -13413,6 +13335,7 @@ "version": "2.1.2", "resolved": "https://registry.npmjs.org/yoctocolors-cjs/-/yoctocolors-cjs-2.1.2.tgz", "integrity": "sha512-cYVsTjKl8b+FrnidjibDWskAv7UKOfcwaVZdp/it9n1s9fU3IkgDbhdIRKCW4JDsAlECJY0ytoVPT3sK6kideA==", + "license": "MIT", "engines": { "node": ">=18" }, diff --git a/package.json b/package.json index 587b537d415..71148e30166 100644 --- a/package.json +++ b/package.json @@ -1,6 +1,6 @@ { "name": "chat-ui", - "version": "0.9.3", + "version": "0.9.4", "private": true, "packageManager": "npm@9.5.0", "scripts": { @@ -21,13 +21,14 @@ "@iconify-json/carbon": "^1.1.16", "@iconify-json/eos-icons": "^1.1.6", "@sveltejs/adapter-node": "^5.2.0", - "@sveltejs/kit": "^2.5.20", + "@sveltejs/kit": "^2.8.3", "@tailwindcss/typography": "^0.5.9", "@types/dompurify": "^3.0.5", "@types/express": "^4.17.21", "@types/js-yaml": "^4.0.9", "@types/jsdom": "^21.1.1", "@types/jsonpath": "^0.2.4", + "@types/katex": "^0.16.7", "@types/mime-types": "^2.1.4", "@types/minimist": "^1.2.5", "@types/node": "^22.1.0", @@ -43,6 +44,7 @@ "isomorphic-dompurify": "^2.13.0", "js-yaml": "^4.1.0", "minimist": "^1.2.8", + "mongodb-memory-server": "^10.1.2", "prettier": "^2.8.0", "prettier-plugin-svelte": "^2.10.1", "prettier-plugin-tailwindcss": "^0.2.7", @@ -53,18 +55,18 @@ "tslib": "^2.4.1", "typescript": "^5.0.0", "unplugin-icons": "^0.16.1", - "vite": "^5.3.5", + "vite": "^5.4.11", "vite-node": "^1.3.1", - "vitest": "^0.31.0" + "vitest": "^2.1.4" }, "type": "module", "dependencies": { "@aws-sdk/credential-providers": "^3.592.0", "@cliqz/adblocker-playwright": "^1.27.2", - "@gradio/client": "^1.1.1", + "@gradio/client": "^1.8.0", "@huggingface/hub": "^0.5.1", - "@huggingface/inference": "^2.7.0", - "@huggingface/transformers": "^3.0.0-alpha.6", + "@huggingface/inference": "^2.8.1", + "@huggingface/transformers": "^3.1.1", "@iconify-json/bi": "^1.1.21", "@playwright/browser-chromium": "^1.43.1", "@resvg/resvg-js": "^2.6.2", @@ -74,7 +76,7 @@ "browser-image-resizer": "^2.4.1", "date-fns": "^2.29.3", "dotenv": "^16.0.3", - "express": "^4.21.0", + "express": "^4.21.2", "file-type": "^19.4.1", "google-auth-library": "^9.13.0", "handlebars": "^4.7.8", @@ -86,9 +88,9 @@ "jsdom": "^22.0.0", "json5": "^2.2.3", "jsonpath": "^1.1.1", + "katex": "^0.16.11", "lint-staged": "^15.2.7", "marked": "^12.0.1", - "marked-katex-extension": "^5.0.1", "mongodb": "^5.8.0", "nanoid": "^4.0.2", "openid-client": "^5.4.2", @@ -109,7 +111,7 @@ "zod": "^3.22.3" }, "optionalDependencies": { - "@anthropic-ai/sdk": "^0.25.0", + "@anthropic-ai/sdk": "^0.32.1", "@anthropic-ai/vertex-sdk": "^0.4.1", "@aws-sdk/client-bedrock-runtime": "^3.631.0", "@google-cloud/vertexai": "^1.1.0", diff --git a/scripts/populate.ts b/scripts/populate.ts index 929192100fc..9f9de1fd0da 100644 --- a/scripts/populate.ts +++ b/scripts/populate.ts @@ -150,9 +150,9 @@ async function seed() { createdAt: faker.date.recent({ days: 30 }), updatedAt: faker.date.recent({ days: 30 }), disableStream: faker.datatype.boolean(0.25), + directPaste: faker.datatype.boolean(0.25), customPrompts: {}, assistants: [], - disableStream: faker.datatype.boolean(0.25), }; await collections.settings.updateOne( { userId: user._id }, diff --git a/scripts/setupTest.ts b/scripts/setupTest.ts index bb465ea3ec7..bea2c283310 100644 --- a/scripts/setupTest.ts +++ b/scripts/setupTest.ts @@ -1,8 +1,10 @@ -import { vi } from "vitest"; +import { vi, afterAll } from "vitest"; import dotenv from "dotenv"; import { resolve } from "path"; import fs from "fs"; +import { MongoMemoryServer } from "mongodb-memory-server"; +let mongoServer: MongoMemoryServer; // Load the .env file const envPath = resolve(__dirname, "../.env"); dotenv.config({ path: envPath }); @@ -29,9 +31,19 @@ vi.mock("$env/dynamic/public", () => ({ env: publicEnv, })); -vi.mock("$env/dynamic/private", () => ({ - env: { - ...privateEnv, - MONGODB_URL: "mongodb://127.0.0.1:27017/", - }, -})); +vi.mock("$env/dynamic/private", async () => { + mongoServer = await MongoMemoryServer.create(); + + return { + env: { + ...privateEnv, + MONGODB_URL: mongoServer.getUri(), + }, + }; +}); + +afterAll(async () => { + if (mongoServer) { + await mongoServer.stop(); + } +}); diff --git a/src/app.html b/src/app.html index 4cffad108b4..3eb5281ac2e 100644 --- a/src/app.html +++ b/src/app.html @@ -2,7 +2,7 @@ - + @@ -542,12 +542,18 @@ @@ -557,9 +563,9 @@ Dynamic Prompt

- Allow the use of template variables {"{{url=https://example.com/path}}"} + Allow the use of template variables {"{{get=https://example.com/path}}"} to insert dynamic content into your prompt by making GET requests to specified URLs on each - inference. + inference. You can also send the user's message as the body of a POST request, using {"{{post=https://example.com/path}}"}

diff --git a/src/lib/components/CodeBlock.svelte b/src/lib/components/CodeBlock.svelte index cb70b7455b9..a8f9fceb66d 100644 --- a/src/lib/components/CodeBlock.svelte +++ b/src/lib/components/CodeBlock.svelte @@ -1,28 +1,21 @@
- 
{@html DOMPurify.sanitize(highlightedCode || code.replaceAll("<", "<"))}
-
+ >{@html DOMPurify.sanitize( + highlightedCode + )} - +
@@ -29,27 +29,29 @@

- {#if $page.data.guestMode || !$page.data.loginEnabled} - - {/if} + {:else} + Start chatting + {/if} + {#if $page.data.loginEnabled}
- {title} + {#await title} +
+ {:then title} + {title ?? ""} + {/await} Delete {/if} - {#if conv.avatarHash} + {#if conv.avatarUrl} Assistant avatar @@ -52,6 +52,14 @@
{#if confirmDelete} + - {:else}