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3 Commits

Author SHA1 Message Date
Ruben Talstra
f94aba4831 feat(ci): add automated release workflow
- Added GitHub Actions workflow `Create Release PR` to automate the creation of release pull requests.
  - Retrieves the last version from `package.json`.
  - Creates a new release branch and pull request with the relevant metadata.
  - Assigns a reviewer and labels the PR as a release.

- Added GitHub Actions workflow `Tag and Release` to automate tagging and releasing.
  - Extracts the last version from `package.json`.
  - Generates a changelog by retrieving merged PRs and categorizing changes.
  - Creates a version tag and pushes it to the repository.
  - Creates a GitHub Release with an auto-generated changelog.

This improves the CI/CD pipeline by streamlining the release process and ensuring structured versioning.
2025-02-10 20:32:21 +01:00
Ruben Talstra
661c6cc280 chore(ci): Improve version bump logic and remove redundant steps
- Now correctly determines the base version for version bumping:
  - Uses the version from an existing version bump PR if available.
  - Falls back to `package.json` version if no existing PR is found.
- Ensures that the version is bumped based on the labels of the newly merged PR.
- Closes an existing version bump PR before creating a new one to prevent duplicates.
- Removed the redundant branch creation step as `create-pull-request@v7` fully manages it.
- Ensures that every new version bump PR correctly increments beyond the last one.

This improves automation reliability and prevents version conflicts. 🚀
2025-02-10 19:34:30 +01:00
Ruben Talstra
0146800b66 started with implementing forced Semantic Versioning for the git repo.
issue: too long on the same version causes confusion.
2025-02-10 17:37:12 +01:00
1037 changed files with 22904 additions and 76606 deletions

View File

@@ -20,11 +20,6 @@ DOMAIN_CLIENT=http://localhost:3080
DOMAIN_SERVER=http://localhost:3080
NO_INDEX=true
# Use the address that is at most n number of hops away from the Express application.
# req.socket.remoteAddress is the first hop, and the rest are looked for in the X-Forwarded-For header from right to left.
# A value of 0 means that the first untrusted address would be req.socket.remoteAddress, i.e. there is no reverse proxy.
# Defaulted to 1.
TRUST_PROXY=1
#===============#
# JSON Logging #
@@ -88,7 +83,7 @@ PROXY=
#============#
ANTHROPIC_API_KEY=user_provided
# ANTHROPIC_MODELS=claude-opus-4-20250514,claude-sonnet-4-20250514,claude-3-7-sonnet-20250219,claude-3-5-sonnet-20241022,claude-3-5-haiku-20241022,claude-3-opus-20240229,claude-3-sonnet-20240229,claude-3-haiku-20240307
# ANTHROPIC_MODELS=claude-3-5-haiku-20241022,claude-3-5-sonnet-20241022,claude-3-5-sonnet-latest,claude-3-5-sonnet-20240620,claude-3-opus-20240229,claude-3-sonnet-20240229,claude-3-haiku-20240307,claude-2.1,claude-2,claude-1.2,claude-1,claude-1-100k,claude-instant-1,claude-instant-1-100k
# ANTHROPIC_REVERSE_PROXY=
#============#
@@ -142,12 +137,12 @@ GOOGLE_KEY=user_provided
# GOOGLE_AUTH_HEADER=true
# Gemini API (AI Studio)
# GOOGLE_MODELS=gemini-2.5-pro-preview-05-06,gemini-2.5-flash-preview-04-17,gemini-2.0-flash-001,gemini-2.0-flash-exp,gemini-2.0-flash-lite-001,gemini-1.5-pro-002,gemini-1.5-flash-002
# GOOGLE_MODELS=gemini-2.0-flash-exp,gemini-2.0-flash-thinking-exp-1219,gemini-exp-1121,gemini-exp-1114,gemini-1.5-flash-latest,gemini-1.0-pro,gemini-1.0-pro-001,gemini-1.0-pro-latest,gemini-1.0-pro-vision-latest,gemini-1.5-pro-latest,gemini-pro,gemini-pro-vision
# Vertex AI
# GOOGLE_MODELS=gemini-2.5-pro-preview-05-06,gemini-2.5-flash-preview-04-17,gemini-2.0-flash-001,gemini-2.0-flash-exp,gemini-2.0-flash-lite-001,gemini-1.5-pro-002,gemini-1.5-flash-002
# GOOGLE_MODELS=gemini-1.5-flash-preview-0514,gemini-1.5-pro-preview-0514,gemini-1.0-pro-vision-001,gemini-1.0-pro-002,gemini-1.0-pro-001,gemini-pro-vision,gemini-1.0-pro
# GOOGLE_TITLE_MODEL=gemini-2.0-flash-lite-001
# GOOGLE_TITLE_MODEL=gemini-pro
# GOOGLE_LOC=us-central1
@@ -175,7 +170,7 @@ GOOGLE_KEY=user_provided
#============#
OPENAI_API_KEY=user_provided
# OPENAI_MODELS=o1,o1-mini,o1-preview,gpt-4o,gpt-4.5-preview,chatgpt-4o-latest,gpt-4o-mini,gpt-3.5-turbo-0125,gpt-3.5-turbo-0301,gpt-3.5-turbo,gpt-4,gpt-4-0613,gpt-4-vision-preview,gpt-3.5-turbo-0613,gpt-3.5-turbo-16k-0613,gpt-4-0125-preview,gpt-4-turbo-preview,gpt-4-1106-preview,gpt-3.5-turbo-1106,gpt-3.5-turbo-instruct,gpt-3.5-turbo-instruct-0914,gpt-3.5-turbo-16k
# OPENAI_MODELS=o1,o1-mini,o1-preview,gpt-4o,chatgpt-4o-latest,gpt-4o-mini,gpt-3.5-turbo-0125,gpt-3.5-turbo-0301,gpt-3.5-turbo,gpt-4,gpt-4-0613,gpt-4-vision-preview,gpt-3.5-turbo-0613,gpt-3.5-turbo-16k-0613,gpt-4-0125-preview,gpt-4-turbo-preview,gpt-4-1106-preview,gpt-3.5-turbo-1106,gpt-3.5-turbo-instruct,gpt-3.5-turbo-instruct-0914,gpt-3.5-turbo-16k
DEBUG_OPENAI=false
@@ -209,6 +204,12 @@ ASSISTANTS_API_KEY=user_provided
# More info, including how to enable use of Assistants with Azure here:
# https://www.librechat.ai/docs/configuration/librechat_yaml/ai_endpoints/azure#using-assistants-with-azure
#============#
# OpenRouter #
#============#
# !!!Warning: Use the variable above instead of this one. Using this one will override the OpenAI endpoint
# OPENROUTER_API_KEY=
#============#
# Plugins #
#============#
@@ -231,14 +232,6 @@ AZURE_AI_SEARCH_SEARCH_OPTION_QUERY_TYPE=
AZURE_AI_SEARCH_SEARCH_OPTION_TOP=
AZURE_AI_SEARCH_SEARCH_OPTION_SELECT=
# OpenAI Image Tools Customization
#----------------
# IMAGE_GEN_OAI_DESCRIPTION_WITH_FILES=Custom description for image generation tool when files are present
# IMAGE_GEN_OAI_DESCRIPTION_NO_FILES=Custom description for image generation tool when no files are present
# IMAGE_EDIT_OAI_DESCRIPTION=Custom description for image editing tool
# IMAGE_GEN_OAI_PROMPT_DESCRIPTION=Custom prompt description for image generation tool
# IMAGE_EDIT_OAI_PROMPT_DESCRIPTION=Custom prompt description for image editing tool
# DALL·E
#----------------
# DALLE_API_KEY=
@@ -256,13 +249,6 @@ AZURE_AI_SEARCH_SEARCH_OPTION_SELECT=
# DALLE3_AZURE_API_VERSION=
# DALLE2_AZURE_API_VERSION=
# Flux
#-----------------
FLUX_API_BASE_URL=https://api.us1.bfl.ai
# FLUX_API_BASE_URL = 'https://api.bfl.ml';
# Get your API key at https://api.us1.bfl.ai/auth/profile
# FLUX_API_KEY=
# Google
#-----------------
@@ -306,10 +292,6 @@ MEILI_NO_ANALYTICS=true
MEILI_HOST=http://0.0.0.0:7700
MEILI_MASTER_KEY=DrhYf7zENyR6AlUCKmnz0eYASOQdl6zxH7s7MKFSfFCt
# Optional: Disable indexing, useful in a multi-node setup
# where only one instance should perform an index sync.
# MEILI_NO_SYNC=true
#==================================================#
# Speech to Text & Text to Speech #
#==================================================#
@@ -372,7 +354,7 @@ ILLEGAL_MODEL_REQ_SCORE=5
# Balance #
#========================#
# CHECK_BALANCE=false
CHECK_BALANCE=false
# START_BALANCE=20000 # note: the number of tokens that will be credited after registration.
#========================#
@@ -407,7 +389,7 @@ FACEBOOK_CALLBACK_URL=/oauth/facebook/callback
GITHUB_CLIENT_ID=
GITHUB_CLIENT_SECRET=
GITHUB_CALLBACK_URL=/oauth/github/callback
# GitHub Enterprise
# GitHub Eenterprise
# GITHUB_ENTERPRISE_BASE_URL=
# GITHUB_ENTERPRISE_USER_AGENT=
@@ -440,60 +422,15 @@ OPENID_NAME_CLAIM=
OPENID_BUTTON_LABEL=
OPENID_IMAGE_URL=
# Set to true to automatically redirect to the OpenID provider when a user visits the login page
# This will bypass the login form completely for users, only use this if OpenID is your only authentication method
OPENID_AUTO_REDIRECT=false
# Set to true to use PKCE (Proof Key for Code Exchange) for OpenID authentication
OPENID_USE_PKCE=false
#Set to true to reuse openid tokens for authentication management instead of using the mongodb session and the custom refresh token.
OPENID_REUSE_TOKENS=
#By default, signing key verification results are cached in order to prevent excessive HTTP requests to the JWKS endpoint.
#If a signing key matching the kid is found, this will be cached and the next time this kid is requested the signing key will be served from the cache.
#Default is true.
OPENID_JWKS_URL_CACHE_ENABLED=
OPENID_JWKS_URL_CACHE_TIME= # 600000 ms eq to 10 minutes leave empty to disable caching
#Set to true to trigger token exchange flow to acquire access token for the userinfo endpoint.
OPENID_ON_BEHALF_FLOW_FOR_USERINFRO_REQUIRED=
OPENID_ON_BEHALF_FLOW_USERINFRO_SCOPE = "user.read" # example for Scope Needed for Microsoft Graph API
# Set to true to use the OpenID Connect end session endpoint for logout
OPENID_USE_END_SESSION_ENDPOINT=
# SAML
# Note: If OpenID is enabled, SAML authentication will be automatically disabled.
SAML_ENTRY_POINT=
SAML_ISSUER=
SAML_CERT=
SAML_CALLBACK_URL=/oauth/saml/callback
SAML_SESSION_SECRET=
# Attribute mappings (optional)
SAML_EMAIL_CLAIM=
SAML_USERNAME_CLAIM=
SAML_GIVEN_NAME_CLAIM=
SAML_FAMILY_NAME_CLAIM=
SAML_PICTURE_CLAIM=
SAML_NAME_CLAIM=
# Logint buttion settings (optional)
SAML_BUTTON_LABEL=
SAML_IMAGE_URL=
# Whether the SAML Response should be signed.
# - If "true", the entire `SAML Response` will be signed.
# - If "false" or unset, only the `SAML Assertion` will be signed (default behavior).
# SAML_USE_AUTHN_RESPONSE_SIGNED=
# LDAP
LDAP_URL=
LDAP_BIND_DN=
LDAP_BIND_CREDENTIALS=
LDAP_USER_SEARCH_BASE=
#LDAP_SEARCH_FILTER="mail="
LDAP_SEARCH_FILTER=mail={{username}}
LDAP_CA_CERT_PATH=
# LDAP_TLS_REJECT_UNAUTHORIZED=
# LDAP_STARTTLS=
# LDAP_LOGIN_USES_USERNAME=true
# LDAP_ID=
# LDAP_USERNAME=
@@ -526,24 +463,6 @@ FIREBASE_STORAGE_BUCKET=
FIREBASE_MESSAGING_SENDER_ID=
FIREBASE_APP_ID=
#========================#
# S3 AWS Bucket #
#========================#
AWS_ENDPOINT_URL=
AWS_ACCESS_KEY_ID=
AWS_SECRET_ACCESS_KEY=
AWS_REGION=
AWS_BUCKET_NAME=
#========================#
# Azure Blob Storage #
#========================#
AZURE_STORAGE_CONNECTION_STRING=
AZURE_STORAGE_PUBLIC_ACCESS=false
AZURE_CONTAINER_NAME=files
#========================#
# Shared Links #
#========================#
@@ -576,16 +495,6 @@ HELP_AND_FAQ_URL=https://librechat.ai
# Google tag manager id
#ANALYTICS_GTM_ID=user provided google tag manager id
#===============#
# REDIS Options #
#===============#
# REDIS_URI=10.10.10.10:6379
# USE_REDIS=true
# USE_REDIS_CLUSTER=true
# REDIS_CA=/path/to/ca.crt
#==================================================#
# Others #
#==================================================#
@@ -593,6 +502,9 @@ HELP_AND_FAQ_URL=https://librechat.ai
# NODE_ENV=
# REDIS_URI=
# USE_REDIS=
# E2E_USER_EMAIL=
# E2E_USER_PASSWORD=
@@ -604,9 +516,9 @@ HELP_AND_FAQ_URL=https://librechat.ai
# users always get the latest version. Customize #
# only if you understand caching implications. #
# INDEX_CACHE_CONTROL=no-cache, no-store, must-revalidate
# INDEX_PRAGMA=no-cache
# INDEX_EXPIRES=0
# INDEX_HTML_CACHE_CONTROL=no-cache, no-store, must-revalidate
# INDEX_HTML_PRAGMA=no-cache
# INDEX_HTML_EXPIRES=0
# no-cache: Forces validation with server before using cached version
# no-store: Prevents storing the response entirely
@@ -615,34 +527,4 @@ HELP_AND_FAQ_URL=https://librechat.ai
#=====================================================#
# OpenWeather #
#=====================================================#
OPENWEATHER_API_KEY=
#====================================#
# LibreChat Code Interpreter API #
#====================================#
# https://code.librechat.ai
# LIBRECHAT_CODE_API_KEY=your-key
#======================#
# Web Search #
#======================#
# Note: All of the following variable names can be customized.
# Omit values to allow user to provide them.
# For more information on configuration values, see:
# https://librechat.ai/docs/features/web_search
# Search Provider (Required)
# SERPER_API_KEY=your_serper_api_key
# Scraper (Required)
# FIRECRAWL_API_KEY=your_firecrawl_api_key
# Optional: Custom Firecrawl API URL
# FIRECRAWL_API_URL=your_firecrawl_api_url
# Reranker (Required)
# JINA_API_KEY=your_jina_api_key
# or
# COHERE_API_KEY=your_cohere_api_key
OPENWEATHER_API_KEY=

View File

@@ -24,40 +24,22 @@ Project maintainers have the right and responsibility to remove, edit, or reject
## To contribute to this project, please adhere to the following guidelines:
## 1. Development Setup
## 1. Development notes
1. Use Node.JS 20.x.
2. Install typescript globally: `npm i -g typescript`.
3. Run `npm ci` to install dependencies.
4. Build the data provider: `npm run build:data-provider`.
5. Build MCP: `npm run build:mcp`.
6. Build data schemas: `npm run build:data-schemas`.
7. Setup and run unit tests:
- Copy `.env.test`: `cp api/test/.env.test.example api/test/.env.test`.
- Run backend unit tests: `npm run test:api`.
- Run frontend unit tests: `npm run test:client`.
8. Setup and run integration tests:
- Build client: `cd client && npm run build`.
- Create `.env`: `cp .env.example .env`.
- Install [MongoDB Community Edition](https://www.mongodb.com/docs/manual/administration/install-community/), ensure that `mongosh` connects to your local instance.
- Run: `npx install playwright`, then `npx playwright install`.
- Copy `config.local`: `cp e2e/config.local.example.ts e2e/config.local.ts`.
- Copy `librechat.yaml`: `cp librechat.example.yaml librechat.yaml`.
- Run: `npm run e2e`.
## 2. Development Notes
1. Before starting work, make sure your main branch has the latest commits with `npm run update`.
3. Run linting command to find errors: `npm run lint`. Alternatively, ensure husky pre-commit checks are functioning.
1. Before starting work, make sure your main branch has the latest commits with `npm run update`
2. Run linting command to find errors: `npm run lint`. Alternatively, ensure husky pre-commit checks are functioning.
3. After your changes, reinstall packages in your current branch using `npm run reinstall` and ensure everything still works.
- Restart the ESLint server ("ESLint: Restart ESLint Server" in VS Code command bar) and your IDE after reinstalling or updating.
4. Clear web app localStorage and cookies before and after changes.
5. For frontend changes, compile typescript before and after changes to check for introduced errors: `cd client && npm run build`.
6. Run backend unit tests: `npm run test:api`.
7. Run frontend unit tests: `npm run test:client`.
8. Run integration tests: `npm run e2e`.
5. For frontend changes:
- Install typescript globally: `npm i -g typescript`.
- Compile typescript before and after changes to check for introduced errors: `cd client && tsc --noEmit`.
6. Run tests locally:
- Backend unit tests: `npm run test:api`
- Frontend unit tests: `npm run test:client`
- Integration tests: `npm run e2e` (requires playwright installed, `npx install playwright`)
## 3. Git Workflow
## 2. Git Workflow
We utilize a GitFlow workflow to manage changes to this project's codebase. Follow these general steps when contributing code:
@@ -67,7 +49,7 @@ We utilize a GitFlow workflow to manage changes to this project's codebase. Foll
4. Submit a pull request with a clear and concise description of your changes and the reasons behind them.
5. We will review your pull request, provide feedback as needed, and eventually merge the approved changes into the main branch.
## 4. Commit Message Format
## 3. Commit Message Format
We follow the [semantic format](https://gist.github.com/joshbuchea/6f47e86d2510bce28f8e7f42ae84c716) for commit messages.
@@ -94,7 +76,7 @@ feat: add hat wobble
```
## 5. Pull Request Process
## 4. Pull Request Process
When submitting a pull request, please follow these guidelines:
@@ -109,7 +91,7 @@ Ensure that your changes meet the following criteria:
- The commit history is clean and easy to follow. You can use `git rebase` or `git merge --squash` to clean your commit history before submitting the pull request.
- The pull request description clearly outlines the changes and the reasons behind them. Be sure to include the steps to test the pull request.
## 6. Naming Conventions
## 5. Naming Conventions
Apply the following naming conventions to branches, labels, and other Git-related entities:
@@ -118,7 +100,7 @@ Apply the following naming conventions to branches, labels, and other Git-relate
- **JS/TS:** Directories and file names: Descriptive and camelCase. First letter uppercased for React files (e.g., `helperFunction.ts, ReactComponent.tsx`).
- **Docs:** Directories and file names: Descriptive and snake_case (e.g., `config_files.md`).
## 7. TypeScript Conversion
## 6. TypeScript Conversion
1. **Original State**: The project was initially developed entirely in JavaScript (JS).
@@ -144,7 +126,7 @@ Apply the following naming conventions to branches, labels, and other Git-relate
- **Current Stance**: At present, this backend transition is of lower priority and might not be pursued.
## 8. Module Import Conventions
## 7. Module Import Conventions
- `npm` packages first,
- from shortest line (top) to longest (bottom)

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@@ -79,8 +79,6 @@ body:
For UI-related issues, browser console logs can be very helpful. You can provide these as screenshots or paste the text here.
render: shell
validations:
required: true
- type: textarea
id: screenshots
attributes:

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@@ -1,42 +0,0 @@
name: Locize Translation Access Request
description: Request access to an additional language in Locize for LibreChat translations.
title: "Locize Access Request: "
labels: ["🌍 i18n", "🔑 access request"]
body:
- type: markdown
attributes:
value: |
Thank you for your interest in contributing to LibreChat translations!
Please fill out the form below to request access to an additional language in **Locize**.
**🔗 Available Languages:** [View the list here](https://www.librechat.ai/docs/translation)
**📌 Note:** Ensure that the requested language is supported before submitting your request.
- type: input
id: account_name
attributes:
label: Locize Account Name
description: Please provide your Locize account name (e.g., John Doe).
placeholder: e.g., John Doe
validations:
required: true
- type: input
id: language_requested
attributes:
label: Language Code (ISO 639-1)
description: |
Enter the **ISO 639-1** language code for the language you want to translate into.
Example: `es` for Spanish, `zh-Hant` for Traditional Chinese.
**🔗 Reference:** [Available Languages](https://www.librechat.ai/docs/translation)
placeholder: e.g., es
validations:
required: true
- type: checkboxes
id: agreement
attributes:
label: Agreement
description: By submitting this request, you confirm that you will contribute responsibly and adhere to the project guidelines.
options:
- label: I agree to use my access solely for contributing to LibreChat translations.
required: true

50
.github/ISSUE_TEMPLATE/QUESTION.yml vendored Normal file
View File

@@ -0,0 +1,50 @@
name: Question
description: Ask your question
title: "[Question]: "
labels: ["❓ question"]
body:
- type: markdown
attributes:
value: |
Thanks for taking the time to fill this!
- type: textarea
id: what-is-your-question
attributes:
label: What is your question?
description: Please give as many details as possible
placeholder: Please give as many details as possible
validations:
required: true
- type: textarea
id: more-details
attributes:
label: More Details
description: Please provide more details if needed.
placeholder: Please provide more details if needed.
validations:
required: true
- type: dropdown
id: browsers
attributes:
label: What is the main subject of your question?
multiple: true
options:
- Documentation
- Installation
- UI
- Endpoints
- User System/OAuth
- Other
- type: textarea
id: screenshots
attributes:
label: Screenshots
description: If applicable, add screenshots to help explain your problem. You can drag and drop, paste images directly here or link to them.
- type: checkboxes
id: terms
attributes:
label: Code of Conduct
description: By submitting this issue, you agree to follow our [Code of Conduct](https://github.com/danny-avila/LibreChat/blob/main/.github/CODE_OF_CONDUCT.md)
options:
- label: I agree to follow this project's Code of Conduct
required: true

View File

@@ -1,60 +0,0 @@
{
"categories": [
{
"title": "### ✨ New Features",
"labels": ["feat"]
},
{
"title": "### 🌍 Internationalization",
"labels": ["i18n"]
},
{
"title": "### 👐 Accessibility",
"labels": ["a11y"]
},
{
"title": "### 🔧 Fixes",
"labels": ["Fix", "fix"]
},
{
"title": "### ⚙️ Other Changes",
"labels": ["ci", "style", "docs", "refactor", "chore"]
}
],
"ignore_labels": [
"🔁 duplicate",
"📊 analytics",
"🌱 good first issue",
"🔍 investigation",
"🙏 help wanted",
"❌ invalid",
"❓ question",
"🚫 wontfix",
"🚀 release",
"version"
],
"base_branches": ["main"],
"sort": {
"order": "ASC",
"on_property": "mergedAt"
},
"label_extractor": [
{
"pattern": "^(?:[^A-Za-z0-9]*)(feat|fix|chore|docs|refactor|ci|style|a11y|i18n)\\s*:",
"target": "$1",
"flags": "i",
"on_property": "title",
"method": "match"
},
{
"pattern": "^(?:[^A-Za-z0-9]*)(v\\d+\\.\\d+\\.\\d+(?:-rc\\d+)?).*",
"target": "version",
"flags": "i",
"on_property": "title",
"method": "match"
}
],
"template": "## [#{{TO_TAG}}] - #{{TO_TAG_DATE}}\n\nChanges from #{{FROM_TAG}} to #{{TO_TAG}}.\n\n#{{CHANGELOG}}\n\n[See full release details][release-#{{TO_TAG}}]\n\n[release-#{{TO_TAG}}]: https://github.com/#{{OWNER}}/#{{REPO}}/releases/tag/#{{TO_TAG}}\n\n---",
"pr_template": "- #{{TITLE}} by **@#{{AUTHOR}}** in [##{{NUMBER}}](#{{URL}})",
"empty_template": "- no changes"
}

View File

@@ -1,68 +0,0 @@
{
"categories": [
{
"title": "### ✨ New Features",
"labels": ["feat"]
},
{
"title": "### 🌍 Internationalization",
"labels": ["i18n"]
},
{
"title": "### 👐 Accessibility",
"labels": ["a11y"]
},
{
"title": "### 🔧 Fixes",
"labels": ["Fix", "fix"]
},
{
"title": "### ⚙️ Other Changes",
"labels": ["ci", "style", "docs", "refactor", "chore"]
}
],
"ignore_labels": [
"🔁 duplicate",
"📊 analytics",
"🌱 good first issue",
"🔍 investigation",
"🙏 help wanted",
"❌ invalid",
"❓ question",
"🚫 wontfix",
"🚀 release",
"version",
"action"
],
"base_branches": ["main"],
"sort": {
"order": "ASC",
"on_property": "mergedAt"
},
"label_extractor": [
{
"pattern": "^(?:[^A-Za-z0-9]*)(feat|fix|chore|docs|refactor|ci|style|a11y|i18n)\\s*:",
"target": "$1",
"flags": "i",
"on_property": "title",
"method": "match"
},
{
"pattern": "^(?:[^A-Za-z0-9]*)(v\\d+\\.\\d+\\.\\d+(?:-rc\\d+)?).*",
"target": "version",
"flags": "i",
"on_property": "title",
"method": "match"
},
{
"pattern": "^(?:[^A-Za-z0-9]*)(action)\\b.*",
"target": "action",
"flags": "i",
"on_property": "title",
"method": "match"
}
],
"template": "## [Unreleased]\n\n#{{CHANGELOG}}\n\n---",
"pr_template": "- #{{TITLE}} by **@#{{AUTHOR}}** in [##{{NUMBER}}](#{{URL}})",
"empty_template": "- no changes"
}

View File

@@ -39,9 +39,6 @@ jobs:
- name: Install MCP Package
run: npm run build:mcp
- name: Install Data Schemas Package
run: npm run build:data-schemas
- name: Create empty auth.json file
run: |
mkdir -p api/data
@@ -64,7 +61,4 @@ jobs:
run: cd api && npm run test:ci
- name: Run librechat-data-provider unit tests
run: cd packages/data-provider && npm run test:ci
- name: Run librechat-mcp unit tests
run: cd packages/mcp && npm run test:ci
run: cd packages/data-provider && npm run test:ci

41
.github/workflows/create-release-pr.yml vendored Normal file
View File

@@ -0,0 +1,41 @@
name: Create Release PR
on:
workflow_dispatch:
jobs:
create-release-pr:
runs-on: ubuntu-latest
permissions:
contents: write
pull-requests: write
steps:
- name: Checkout repository
uses: actions/checkout@v4
with:
fetch-depth: 0
- name: Get last version from package.json
id: version
run: |
LAST_VERSION=$(jq -r '.version' package.json)
echo "Last version: $LAST_VERSION"
echo "LAST_VERSION=$LAST_VERSION" >> $GITHUB_ENV
echo "last_version=$LAST_VERSION" >> $GITHUB_OUTPUT
- name: Create New Release Pull Request
uses: peter-evans/create-pull-request@v7
with:
token: ${{ secrets.GITHUB_TOKEN }}
sign-commits: true
commit-message: "chore(release): prepare for v${{ steps.version.outputs.last_version }}"
base: release
branch: release/v${{ steps.version.outputs.last_version }}
reviewers: danny-avila
title: "✨ v${{ steps.version.outputs.last_version }}"
body: |
**Release Details**:
- 🚀 **Version**: v${{ steps.version.outputs.last_version }}
- 📌 **Branch**: `main` → `release`
- 🔄 **Merging this PR will finalize the release.**
labels: "🚀 release"

View File

@@ -1,58 +0,0 @@
name: Publish `@librechat/data-schemas` to NPM
on:
push:
branches:
- main
paths:
- 'packages/data-schemas/package.json'
workflow_dispatch:
inputs:
reason:
description: 'Reason for manual trigger'
required: false
default: 'Manual publish requested'
jobs:
build-and-publish:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- name: Use Node.js
uses: actions/setup-node@v4
with:
node-version: '18.x'
- name: Install dependencies
run: cd packages/data-schemas && npm ci
- name: Build
run: cd packages/data-schemas && npm run build
- name: Set up npm authentication
run: echo "//registry.npmjs.org/:_authToken=${{ secrets.PUBLISH_NPM_TOKEN }}" > ~/.npmrc
- name: Check version change
id: check
working-directory: packages/data-schemas
run: |
PACKAGE_VERSION=$(node -p "require('./package.json').version")
PUBLISHED_VERSION=$(npm view @librechat/data-schemas version 2>/dev/null || echo "0.0.0")
if [ "$PACKAGE_VERSION" = "$PUBLISHED_VERSION" ]; then
echo "No version change, skipping publish"
echo "skip=true" >> $GITHUB_OUTPUT
else
echo "Version changed, proceeding with publish"
echo "skip=false" >> $GITHUB_OUTPUT
fi
- name: Pack package
if: steps.check.outputs.skip != 'true'
working-directory: packages/data-schemas
run: npm pack
- name: Publish
if: steps.check.outputs.skip != 'true'
working-directory: packages/data-schemas
run: npm publish *.tgz --access public

View File

@@ -41,32 +41,19 @@ jobs:
# Extract the base commit SHA from the pull_request event payload.
BASE_SHA=$(jq --raw-output .pull_request.base.sha "$GITHUB_EVENT_PATH")
echo "Base commit SHA: $BASE_SHA"
# Get changed files (only JS/TS files in api/ or client/)
CHANGED_FILES=$(git diff --name-only --diff-filter=ACMRTUXB "$BASE_SHA" HEAD | grep -E '^(api|client)/.*\.(js|jsx|ts|tsx)$' || true)
# Debug output
echo "Changed files:"
# List files changed between the base commit and HEAD, filtering only those in api/ or client/
CHANGED_FILES=$(git diff --name-only --diff-filter=ACMRTUXB "$BASE_SHA" HEAD | grep -E '^(api|client)/.*\.(js|jsx|ts|tsx)$')
echo "Files to lint:"
echo "$CHANGED_FILES"
# Ensure there are files to lint before running ESLint
if [[ -z "$CHANGED_FILES" ]]; then
echo "No matching files changed. Skipping ESLint."
echo "UPLOAD_SARIF=false" >> $GITHUB_ENV
exit 0
fi
# Set variable to allow SARIF upload
echo "UPLOAD_SARIF=true" >> $GITHUB_ENV
# Run ESLint
# Run ESLint on the changed files.
npx eslint --no-error-on-unmatched-pattern \
--config eslint.config.mjs \
--format @microsoft/eslint-formatter-sarif \
--output-file eslint-results.sarif $CHANGED_FILES || true
- name: Upload analysis results to GitHub
if: env.UPLOAD_SARIF == 'true'
uses: github/codeql-action/upload-sarif@v3
with:
sarif_file: eslint-results.sarif

View File

@@ -1,95 +0,0 @@
name: Generate Release Changelog PR
on:
push:
tags:
- 'v*.*.*'
workflow_dispatch:
jobs:
generate-release-changelog-pr:
permissions:
contents: write # Needed for pushing commits and creating branches.
pull-requests: write
runs-on: ubuntu-latest
steps:
# 1. Checkout the repository (with full history).
- name: Checkout Repository
uses: actions/checkout@v4
with:
fetch-depth: 0
# 2. Generate the release changelog using our custom configuration.
- name: Generate Release Changelog
id: generate_release
uses: mikepenz/release-changelog-builder-action@v5.1.0
env:
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
with:
configuration: ".github/configuration-release.json"
owner: ${{ github.repository_owner }}
repo: ${{ github.event.repository.name }}
outputFile: CHANGELOG-release.md
# 3. Update the main CHANGELOG.md:
# - If it doesn't exist, create it with a basic header.
# - Remove the "Unreleased" section (if present).
# - Prepend the new release changelog above previous releases.
# - Remove all temporary files before committing.
- name: Update CHANGELOG.md
run: |
# Determine the release tag, e.g. "v1.2.3"
TAG=${GITHUB_REF##*/}
echo "Using release tag: $TAG"
# Ensure CHANGELOG.md exists; if not, create a basic header.
if [ ! -f CHANGELOG.md ]; then
echo "# Changelog" > CHANGELOG.md
echo "" >> CHANGELOG.md
echo "All notable changes to this project will be documented in this file." >> CHANGELOG.md
echo "" >> CHANGELOG.md
fi
echo "Updating CHANGELOG.md…"
# Remove the "Unreleased" section (from "## [Unreleased]" until the first occurrence of '---') if it exists.
if grep -q "^## \[Unreleased\]" CHANGELOG.md; then
awk '/^## \[Unreleased\]/{flag=1} flag && /^---/{flag=0; next} !flag' CHANGELOG.md > CHANGELOG.cleaned
else
cp CHANGELOG.md CHANGELOG.cleaned
fi
# Split the cleaned file into:
# - header.md: content before the first release header ("## [v...").
# - tail.md: content from the first release header onward.
awk '/^## \[v/{exit} {print}' CHANGELOG.cleaned > header.md
awk 'f{print} /^## \[v/{f=1; print}' CHANGELOG.cleaned > tail.md
# Combine header, the new release changelog, and the tail.
echo "Combining updated changelog parts..."
cat header.md CHANGELOG-release.md > CHANGELOG.md.new
echo "" >> CHANGELOG.md.new
cat tail.md >> CHANGELOG.md.new
mv CHANGELOG.md.new CHANGELOG.md
# Remove temporary files.
rm -f CHANGELOG.cleaned header.md tail.md CHANGELOG-release.md
echo "Final CHANGELOG.md content:"
cat CHANGELOG.md
# 4. Create (or update) the Pull Request with the updated CHANGELOG.md.
- name: Create Pull Request
uses: peter-evans/create-pull-request@v7
with:
token: ${{ secrets.GITHUB_TOKEN }}
sign-commits: true
commit-message: "chore: update CHANGELOG for release ${{ github.ref_name }}"
base: main
branch: "changelog/${{ github.ref_name }}"
reviewers: danny-avila
title: "📜 docs: Changelog for release ${{ github.ref_name }}"
body: |
**Description**:
- This PR updates the CHANGELOG.md by removing the "Unreleased" section and adding new release notes for release ${{ github.ref_name }} above previous releases.

View File

@@ -1,107 +0,0 @@
name: Generate Unreleased Changelog PR
on:
schedule:
- cron: "0 0 * * 1" # Runs every Monday at 00:00 UTC
workflow_dispatch:
jobs:
generate-unreleased-changelog-pr:
permissions:
contents: write # Needed for pushing commits and creating branches.
pull-requests: write
runs-on: ubuntu-latest
steps:
# 1. Checkout the repository on main.
- name: Checkout Repository on Main
uses: actions/checkout@v4
with:
ref: main
fetch-depth: 0
# 4. Get the latest version tag.
- name: Get Latest Tag
id: get_latest_tag
run: |
LATEST_TAG=$(git describe --tags $(git rev-list --tags --max-count=1) || echo "none")
echo "Latest tag: $LATEST_TAG"
echo "tag=$LATEST_TAG" >> $GITHUB_OUTPUT
# 5. Generate the Unreleased changelog.
- name: Generate Unreleased Changelog
id: generate_unreleased
uses: mikepenz/release-changelog-builder-action@v5.1.0
env:
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
with:
configuration: ".github/configuration-unreleased.json"
owner: ${{ github.repository_owner }}
repo: ${{ github.event.repository.name }}
outputFile: CHANGELOG-unreleased.md
fromTag: ${{ steps.get_latest_tag.outputs.tag }}
toTag: main
# 7. Update CHANGELOG.md with the new Unreleased section.
- name: Update CHANGELOG.md
id: update_changelog
run: |
# Create CHANGELOG.md if it doesn't exist.
if [ ! -f CHANGELOG.md ]; then
echo "# Changelog" > CHANGELOG.md
echo "" >> CHANGELOG.md
echo "All notable changes to this project will be documented in this file." >> CHANGELOG.md
echo "" >> CHANGELOG.md
fi
echo "Updating CHANGELOG.md…"
# Extract content before the "## [Unreleased]" (or first version header if missing).
if grep -q "^## \[Unreleased\]" CHANGELOG.md; then
awk '/^## \[Unreleased\]/{exit} {print}' CHANGELOG.md > CHANGELOG_TMP.md
else
awk '/^## \[v/{exit} {print}' CHANGELOG.md > CHANGELOG_TMP.md
fi
# Append the generated Unreleased changelog.
echo "" >> CHANGELOG_TMP.md
cat CHANGELOG-unreleased.md >> CHANGELOG_TMP.md
echo "" >> CHANGELOG_TMP.md
# Append the remainder of the original changelog (starting from the first version header).
awk 'f{print} /^## \[v/{f=1; print}' CHANGELOG.md >> CHANGELOG_TMP.md
# Replace the old file with the updated file.
mv CHANGELOG_TMP.md CHANGELOG.md
# Remove the temporary generated file.
rm -f CHANGELOG-unreleased.md
echo "Final CHANGELOG.md:"
cat CHANGELOG.md
# 8. Check if CHANGELOG.md has any updates.
- name: Check for CHANGELOG.md changes
id: changelog_changes
run: |
if git diff --quiet CHANGELOG.md; then
echo "has_changes=false" >> $GITHUB_OUTPUT
else
echo "has_changes=true" >> $GITHUB_OUTPUT
fi
# 9. Create (or update) the Pull Request only if there are changes.
- name: Create Pull Request
if: steps.changelog_changes.outputs.has_changes == 'true'
uses: peter-evans/create-pull-request@v7
with:
token: ${{ secrets.GITHUB_TOKEN }}
base: main
branch: "changelog/unreleased-update"
sign-commits: true
commit-message: "action: update Unreleased changelog"
title: "📜 docs: Unreleased Changelog"
body: |
**Description**:
- This PR updates the Unreleased section in CHANGELOG.md.
- It compares the current main branch with the latest version tag (determined as ${{ steps.get_latest_tag.outputs.tag }}),
regenerates the Unreleased changelog, removes any old Unreleased block, and inserts the new content.

View File

@@ -26,15 +26,8 @@ jobs:
uses: azure/setup-helm@v4
env:
GITHUB_TOKEN: "${{ secrets.GITHUB_TOKEN }}"
- name: Build Subchart Deps
run: |
cd helm/librechat-rag-api
helm dependency build
- name: Run chart-releaser
uses: helm/chart-releaser-action@v1.6.0
with:
charts_dir: helm
skip_existing: true
env:
CR_TOKEN: "${{ secrets.GITHUB_TOKEN }}"

View File

@@ -1,116 +0,0 @@
name: Detect Unused i18next Strings
on:
pull_request:
paths:
- "client/src/**"
- "api/**"
jobs:
detect-unused-i18n-keys:
runs-on: ubuntu-latest
permissions:
pull-requests: write # Required for posting PR comments
steps:
- name: Checkout repository
uses: actions/checkout@v3
- name: Find unused i18next keys
id: find-unused
run: |
echo "🔍 Scanning for unused i18next keys..."
# Define paths
I18N_FILE="client/src/locales/en/translation.json"
SOURCE_DIRS=("client/src" "api" "packages/data-provider/src")
# Check if translation file exists
if [[ ! -f "$I18N_FILE" ]]; then
echo "::error title=Missing i18n File::Translation file not found: $I18N_FILE"
exit 1
fi
# Extract all keys from the JSON file
KEYS=$(jq -r 'keys[]' "$I18N_FILE")
# Track unused keys
UNUSED_KEYS=()
# Check if each key is used in the source code
for KEY in $KEYS; do
FOUND=false
# Special case for dynamically constructed special variable keys
if [[ "$KEY" == com_ui_special_var_* ]]; then
# Check if TSpecialVarLabel is used in the codebase
for DIR in "${SOURCE_DIRS[@]}"; do
if grep -r --include=\*.{js,jsx,ts,tsx} -q "TSpecialVarLabel" "$DIR"; then
FOUND=true
break
fi
done
# Also check if the key is directly used somewhere
if [[ "$FOUND" == false ]]; then
for DIR in "${SOURCE_DIRS[@]}"; do
if grep -r --include=\*.{js,jsx,ts,tsx} -q "$KEY" "$DIR"; then
FOUND=true
break
fi
done
fi
else
# Regular check for other keys
for DIR in "${SOURCE_DIRS[@]}"; do
if grep -r --include=\*.{js,jsx,ts,tsx} -q "$KEY" "$DIR"; then
FOUND=true
break
fi
done
fi
if [[ "$FOUND" == false ]]; then
UNUSED_KEYS+=("$KEY")
fi
done
# Output results
if [[ ${#UNUSED_KEYS[@]} -gt 0 ]]; then
echo "🛑 Found ${#UNUSED_KEYS[@]} unused i18n keys:"
echo "unused_keys=$(echo "${UNUSED_KEYS[@]}" | jq -R -s -c 'split(" ")')" >> $GITHUB_ENV
for KEY in "${UNUSED_KEYS[@]}"; do
echo "::warning title=Unused i18n Key::'$KEY' is defined but not used in the codebase."
done
else
echo "✅ No unused i18n keys detected!"
echo "unused_keys=[]" >> $GITHUB_ENV
fi
- name: Post verified comment on PR
if: env.unused_keys != '[]'
run: |
PR_NUMBER=$(jq --raw-output .pull_request.number "$GITHUB_EVENT_PATH")
# Format the unused keys list as checkboxes for easy manual checking.
FILTERED_KEYS=$(echo "$unused_keys" | jq -r '.[]' | grep -v '^\s*$' | sed 's/^/- [ ] `/;s/$/`/' )
COMMENT_BODY=$(cat <<EOF
### 🚨 Unused i18next Keys Detected
The following translation keys are defined in \`translation.json\` but are **not used** in the codebase:
$FILTERED_KEYS
⚠️ **Please remove these unused keys to keep the translation files clean.**
EOF
)
gh api "repos/${{ github.repository }}/issues/${PR_NUMBER}/comments" \
-f body="$COMMENT_BODY" \
-H "Authorization: token ${{ secrets.GITHUB_TOKEN }}"
env:
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
- name: Fail workflow if unused keys found
if: env.unused_keys != '[]'
run: exit 1

View File

@@ -1,4 +1,4 @@
name: Sync Locize Translations & Create Translation PR
name: Push New Keys & Create Translation PR
on:
push:
@@ -7,8 +7,8 @@ on:
types: [locize/versionPublished]
jobs:
sync-translations:
name: Sync Translation Keys with Locize
push-new-keys:
name: Push Missing Translation Keys to locize
runs-on: ubuntu-latest
steps:
- name: Checkout Repository
@@ -22,22 +22,23 @@ jobs:
- name: Install locize CLI
run: npm install -g locize-cli
# Sync translations (Push missing keys & remove deleted ones)
- name: Sync Locize with Repository
# Only push keys if this workflow was triggered by a push event.
- name: Push Missing Translation Keys to locize
if: ${{ github.event_name == 'push' }}
run: |
cd client/src/locales
locize sync --api-key ${{ secrets.LOCIZE_API_KEY }} --project-id ${{ secrets.LOCIZE_PROJECT_ID }} --language en
locize save-missing --api-key ${{ secrets.LOCIZE_API_KEY }} --project-id ${{ secrets.LOCIZE_PROJECT_ID }} --language en
# When triggered by repository_dispatch, skip sync step.
- name: Skip sync step on non-push events
# When triggered by repository_dispatch, skip pushing new keys.
- name: Skip push step on non-push events
if: ${{ github.event_name != 'push' }}
run: echo "Skipping sync as the event is not a push."
run: echo "Skipping push of new keys as the event is not a push."
create-pull-request:
name: Create Translation PR on Version Published
runs-on: ubuntu-latest
needs: sync-translations
# This job will wait for push-new-keys to complete.
needs: push-new-keys
permissions:
contents: write
pull-requests: write

110
.github/workflows/main-version-bump.yml vendored Normal file
View File

@@ -0,0 +1,110 @@
name: Semantic Version Bump (via Labels)
on:
pull_request:
types:
- closed
jobs:
versioning:
if: github.event.pull_request.merged == true && github.base_ref == 'main'
runs-on: ubuntu-latest
permissions:
contents: write
pull-requests: write
steps:
- name: Checkout repository
uses: actions/checkout@v4
with:
fetch-depth: 0
- name: Install dependencies
run: npm install -g semver jq
- name: Get last version from package.json
id: version
run: |
LAST_VERSION=$(jq -r '.version' package.json)
echo "Last version: $LAST_VERSION"
echo "LAST_VERSION=$LAST_VERSION" >> $GITHUB_ENV
- name: Check if an existing version bump PR exists
id: check_existing_pr
env:
GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
run: |
EXISTING_PR=$(gh pr list --state open --json number,title --jq '.[] | select(.title | contains("chore(version)")) | {number: .number, title: .title}')
EXISTING_PR_NUMBER=$(echo "$EXISTING_PR" | jq -r '.number')
EXISTING_PR_VERSION=$(echo "$EXISTING_PR" | grep -oP '\d+\.\d+\.\d+' | head -n 1)
if [[ -n "$EXISTING_PR_NUMBER" ]]; then
echo "Closing existing PR #$EXISTING_PR_NUMBER"
gh pr close "$EXISTING_PR_NUMBER" --comment "🚀 Auto-closing this PR in favor of a new version bump."
echo "EXISTING_PR_NUMBER=$EXISTING_PR_NUMBER" >> $GITHUB_ENV
fi
if [[ -n "$EXISTING_PR_VERSION" ]]; then
echo "EXISTING_PR_VERSION=$EXISTING_PR_VERSION" >> $GITHUB_ENV
fi
- name: Determine new version based on PR labels
id: bump_version
env:
PR_LABELS: ${{ join(github.event.pull_request.labels.*.name, ' ') }}
BASE_VERSION: ${{ env.EXISTING_PR_VERSION || env.LAST_VERSION }}
run: |
echo "Labels on PR: $PR_LABELS"
echo "Base version: $BASE_VERSION"
MAJOR=false
MINOR=false
PATCH=false
if echo "$PR_LABELS" | grep -qi "💥 breaking change"; then
MAJOR=true
fi
if echo "$PR_LABELS" | grep -qi "✨ feat"; then
MINOR=true
fi
if echo "$PR_LABELS" | grep -qi "🔧 fix"; then
PATCH=true
fi
NEW_VERSION=$BASE_VERSION
if [ "$MAJOR" = true ]; then
NEW_VERSION=$(semver -i major $BASE_VERSION)
elif [ "$MINOR" = true ]; then
NEW_VERSION=$(semver -i minor $BASE_VERSION)
elif [ "$PATCH" = true ]; then
NEW_VERSION=$(semver -i patch $BASE_VERSION)
fi
echo "NEW_VERSION=$NEW_VERSION" >> $GITHUB_ENV
echo "Next version: $NEW_VERSION"
- name: Update package.json version
run: |
jq --arg version "$NEW_VERSION" '.version = $version' package.json > temp.json && mv temp.json package.json
- name: Install dependencies and update package-lock.json
run: |
npm install
npm ci
- name: Create New Pull Request
uses: peter-evans/create-pull-request@v7
with:
token: ${{ secrets.GITHUB_TOKEN }}
sign-commits: true
commit-message: "chore(version): bump version to ${{ env.NEW_VERSION }}"
base: main
branch: version-bump/${{ env.NEW_VERSION }}
reviewers: danny-avila
title: "chore(version): Bump version to ${{ env.NEW_VERSION }}"
body: |
**Description**:
- 🎯 **Objective**: Update `package.json` and `package-lock.json` with the latest version bump.
- 🔍 **Details**: This PR is automatically generated upon merging PRs with the correct versioning labels.
- ✅ **Status**: Ready for review.
labels: "📦 version update"

113
.github/workflows/tag-and-release.yml vendored Normal file
View File

@@ -0,0 +1,113 @@
name: Tag and Release
on:
push:
branches:
- release
jobs:
create-tag-release:
runs-on: ubuntu-latest
permissions:
contents: write
steps:
- name: Checkout repository
uses: actions/checkout@v4
with:
fetch-depth: 0
- name: Get last version from package.json
id: version
run: |
# Extract the version using jq (make sure jq is installed)
LAST_VERSION=$(jq -r '.version' package.json)
echo "Last version: $LAST_VERSION"
echo "LAST_VERSION=$LAST_VERSION" >> $GITHUB_ENV
- name: Generate Changelog
id: changelog
env:
GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
run: |
# Get previous tag (if none exists, use a placeholder)
PREV_VERSION=$(git tag --sort=-v:refname | head -n 1)
if [ -z "$PREV_VERSION" ]; then
PREV_VERSION="Initial_Commit"
fi
# Start building the changelog file
{
echo "## What's Changed"
echo ""
echo "## [v${LAST_VERSION}](https://github.com/${{ github.repository }}/releases/tag/v${LAST_VERSION})"
echo ""
if [ "$PREV_VERSION" != "Initial_Commit" ]; then
echo "Updates since v${PREV_VERSION} include:"
echo "- https://github.com/${{ github.repository }}/compare/v${PREV_VERSION}...v${LAST_VERSION}"
else
echo "This is the first release."
fi
echo ""
echo "### ✨ New Features"
gh pr list --state merged --search "feat" --json title,number,url --jq \
'.[] | "* 🚀 [\(.title) by @\(.url | split("/")[-2])](\(.url))"' || echo "* No new features."
echo ""
echo "### 🖼️ Style"
gh pr list --state merged --search "style" --json title,number,url --jq \
'.[] | "* 🎨 [\(.title) by @\(.url | split("/")[-2])](\(.url))"' || echo "* No style updates."
echo ""
echo "### 👐 Accessibility"
gh pr list --state merged --search "a11y" --json title,number,url --jq \
'.[] | "* 👐 [\(.title) by @\(.url | split("/")[-2])](\(.url))"' || echo "* No accessibility updates."
echo ""
echo "### 🌍 Internationalization"
gh pr list --state merged --search "i18n" --json title,number,url --jq \
'.[] | "* 🌏 [\(.title) by @\(.url | split("/")[-2])](\(.url))"' || echo "* No internationalization updates."
echo ""
echo "### ⚙️ Other Changes"
gh pr list --state merged --search "chore OR refactor OR docs" --json title,number,url --jq \
'.[] | "* 📦 [\(.title) by @\(.url | split("/")[-2])](\(.url))"' || echo "* No other changes."
echo ""
echo "### 🔧 Fixes"
gh pr list --state merged --search "fix" --json title,number,url --jq \
'.[] | "* 🔧 [\(.title) by @\(.url | split("/")[-2])](\(.url))"' || echo "* No fixes."
echo ""
echo "## New Contributors"
# Use jqs unique_by to get one PR per new author along with its URL
gh pr list --state merged --json author,url --jq \
'unique_by(.author.login)[] | "* @" + .author.login + " made their first contribution in " + .url' \
|| echo "* No new contributors."
echo ""
echo "**Full Changelog**: https://github.com/${{ github.repository }}/compare/v${PREV_VERSION}...v${LAST_VERSION}"
} > changelog.md
# Output the changelog for logging purposes
cat changelog.md
# Save the changelog as a multiline environment variable
echo "CHANGELOG<<EOF" >> $GITHUB_ENV
cat changelog.md >> $GITHUB_ENV
echo "EOF" >> $GITHUB_ENV
- name: Create Git Tag
env:
GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
run: |
git tag v${LAST_VERSION}
git push origin v${LAST_VERSION}
- name: Create GitHub Release
env:
GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
run: |
gh release create v${LAST_VERSION} \
--title "Release v${LAST_VERSION}" \
--notes "$CHANGELOG"

View File

@@ -1,153 +0,0 @@
name: Detect Unused NPM Packages
on:
pull_request:
paths:
- 'package.json'
- 'package-lock.json'
- 'client/**'
- 'api/**'
jobs:
detect-unused-packages:
runs-on: ubuntu-latest
permissions:
pull-requests: write
steps:
- uses: actions/checkout@v4
- name: Use Node.js 20.x
uses: actions/setup-node@v4
with:
node-version: 20
cache: 'npm'
- name: Install depcheck
run: npm install -g depcheck
- name: Validate JSON files
run: |
for FILE in package.json client/package.json api/package.json; do
if [[ -f "$FILE" ]]; then
jq empty "$FILE" || (echo "::error title=Invalid JSON::$FILE is invalid" && exit 1)
fi
done
- name: Extract Dependencies Used in Scripts
id: extract-used-scripts
run: |
extract_deps_from_scripts() {
local package_file=$1
if [[ -f "$package_file" ]]; then
jq -r '.scripts | to_entries[].value' "$package_file" | \
grep -oE '([a-zA-Z0-9_-]+)' | sort -u > used_scripts.txt
else
touch used_scripts.txt
fi
}
extract_deps_from_scripts "package.json"
mv used_scripts.txt root_used_deps.txt
extract_deps_from_scripts "client/package.json"
mv used_scripts.txt client_used_deps.txt
extract_deps_from_scripts "api/package.json"
mv used_scripts.txt api_used_deps.txt
- name: Extract Dependencies Used in Source Code
id: extract-used-code
run: |
extract_deps_from_code() {
local folder=$1
local output_file=$2
if [[ -d "$folder" ]]; then
grep -rEho "require\\(['\"]([a-zA-Z0-9@/._-]+)['\"]\\)" "$folder" --include=\*.{js,ts,mjs,cjs} | \
sed -E "s/require\\(['\"]([a-zA-Z0-9@/._-]+)['\"]\\)/\1/" > "$output_file"
grep -rEho "import .* from ['\"]([a-zA-Z0-9@/._-]+)['\"]" "$folder" --include=\*.{js,ts,mjs,cjs} | \
sed -E "s/import .* from ['\"]([a-zA-Z0-9@/._-]+)['\"]/\1/" >> "$output_file"
sort -u "$output_file" -o "$output_file"
else
touch "$output_file"
fi
}
extract_deps_from_code "." root_used_code.txt
extract_deps_from_code "client" client_used_code.txt
extract_deps_from_code "api" api_used_code.txt
- name: Run depcheck for root package.json
id: check-root
run: |
if [[ -f "package.json" ]]; then
UNUSED=$(depcheck --json | jq -r '.dependencies | join("\n")' || echo "")
UNUSED=$(comm -23 <(echo "$UNUSED" | sort) <(cat root_used_deps.txt root_used_code.txt | sort) || echo "")
echo "ROOT_UNUSED<<EOF" >> $GITHUB_ENV
echo "$UNUSED" >> $GITHUB_ENV
echo "EOF" >> $GITHUB_ENV
fi
- name: Run depcheck for client/package.json
id: check-client
run: |
if [[ -f "client/package.json" ]]; then
chmod -R 755 client
cd client
UNUSED=$(depcheck --json | jq -r '.dependencies | join("\n")' || echo "")
UNUSED=$(comm -23 <(echo "$UNUSED" | sort) <(cat ../client_used_deps.txt ../client_used_code.txt | sort) || echo "")
echo "CLIENT_UNUSED<<EOF" >> $GITHUB_ENV
echo "$UNUSED" >> $GITHUB_ENV
echo "EOF" >> $GITHUB_ENV
cd ..
fi
- name: Run depcheck for api/package.json
id: check-api
run: |
if [[ -f "api/package.json" ]]; then
chmod -R 755 api
cd api
UNUSED=$(depcheck --json | jq -r '.dependencies | join("\n")' || echo "")
UNUSED=$(comm -23 <(echo "$UNUSED" | sort) <(cat ../api_used_deps.txt ../api_used_code.txt | sort) || echo "")
echo "API_UNUSED<<EOF" >> $GITHUB_ENV
echo "$UNUSED" >> $GITHUB_ENV
echo "EOF" >> $GITHUB_ENV
cd ..
fi
- name: Post comment on PR if unused dependencies are found
if: env.ROOT_UNUSED != '' || env.CLIENT_UNUSED != '' || env.API_UNUSED != ''
run: |
PR_NUMBER=$(jq --raw-output .pull_request.number "$GITHUB_EVENT_PATH")
ROOT_LIST=$(echo "$ROOT_UNUSED" | awk '{print "- `" $0 "`"}')
CLIENT_LIST=$(echo "$CLIENT_UNUSED" | awk '{print "- `" $0 "`"}')
API_LIST=$(echo "$API_UNUSED" | awk '{print "- `" $0 "`"}')
COMMENT_BODY=$(cat <<EOF
### 🚨 Unused NPM Packages Detected
The following **unused dependencies** were found:
$(if [[ ! -z "$ROOT_UNUSED" ]]; then echo "#### 📂 Root \`package.json\`"; echo ""; echo "$ROOT_LIST"; echo ""; fi)
$(if [[ ! -z "$CLIENT_UNUSED" ]]; then echo "#### 📂 Client \`client/package.json\`"; echo ""; echo "$CLIENT_LIST"; echo ""; fi)
$(if [[ ! -z "$API_UNUSED" ]]; then echo "#### 📂 API \`api/package.json\`"; echo ""; echo "$API_LIST"; echo ""; fi)
⚠️ **Please remove these unused dependencies to keep your project clean.**
EOF
)
gh api "repos/${{ github.repository }}/issues/${PR_NUMBER}/comments" \
-f body="$COMMENT_BODY" \
-H "Authorization: token ${{ secrets.GITHUB_TOKEN }}"
env:
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
- name: Fail workflow if unused dependencies found
if: env.ROOT_UNUSED != '' || env.CLIENT_UNUSED != '' || env.API_UNUSED != ''
run: exit 1

20
.gitignore vendored
View File

@@ -37,10 +37,6 @@ client/public/main.js
client/public/main.js.map
client/public/main.js.LICENSE.txt
# Azure Blob Storage Emulator (Azurite)
__azurite**
__blobstorage__/**/*
# Dependency directorys
# Deployed apps should consider commenting these lines out:
# see https://npmjs.org/doc/faq.html#Should-I-check-my-node_modules-folder-into-git
@@ -52,10 +48,6 @@ bower_components/
*.d.ts
!vite-env.d.ts
# AI
.clineignore
.cursor
# Floobits
.floo
.floobit
@@ -113,14 +105,4 @@ auth.json
uploads/
# owner
release/
# Helm
helm/librechat/Chart.lock
helm/**/charts/
helm/**/.values.yaml
!/client/src/@types/i18next.d.ts
# SAML Idp cert
*.cert
release/

View File

@@ -1,236 +0,0 @@
# Changelog
All notable changes to this project will be documented in this file.
## [Unreleased]
### ✨ New Features
- ✨ feat: implement search parameter updates by **@mawburn** in [#7151](https://github.com/danny-avila/LibreChat/pull/7151)
- 🎏 feat: Add MCP support for Streamable HTTP Transport by **@benverhees** in [#7353](https://github.com/danny-avila/LibreChat/pull/7353)
- 🔒 feat: Add Content Security Policy using Helmet middleware by **@rubentalstra** in [#7377](https://github.com/danny-avila/LibreChat/pull/7377)
- ✨ feat: Add Normalization for MCP Server Names by **@danny-avila** in [#7421](https://github.com/danny-avila/LibreChat/pull/7421)
- 📊 feat: Improve Helm Chart by **@hofq** in [#3638](https://github.com/danny-avila/LibreChat/pull/3638)
- 🦾 feat: Claude-4 Support by **@danny-avila** in [#7509](https://github.com/danny-avila/LibreChat/pull/7509)
- 🪨 feat: Bedrock Support for Claude-4 Reasoning by **@danny-avila** in [#7517](https://github.com/danny-avila/LibreChat/pull/7517)
### 🌍 Internationalization
- 🌍 i18n: Add `Danish` and `Czech` and `Catalan` localization support by **@rubentalstra** in [#7373](https://github.com/danny-avila/LibreChat/pull/7373)
- 🌍 i18n: Update translation.json with latest translations by **@github-actions[bot]** in [#7375](https://github.com/danny-avila/LibreChat/pull/7375)
- 🌍 i18n: Update translation.json with latest translations by **@github-actions[bot]** in [#7468](https://github.com/danny-avila/LibreChat/pull/7468)
### 🔧 Fixes
- 💬 fix: update aria-label for accessibility in ConvoLink component by **@berry-13** in [#7320](https://github.com/danny-avila/LibreChat/pull/7320)
- 🔑 fix: use `apiKey` instead of `openAIApiKey` in OpenAI-like Config by **@danny-avila** in [#7337](https://github.com/danny-avila/LibreChat/pull/7337)
- 🔄 fix: update navigation logic in `useFocusChatEffect` to ensure correct search parameters are used by **@mawburn** in [#7340](https://github.com/danny-avila/LibreChat/pull/7340)
- 🔄 fix: Improve MCP Connection Cleanup by **@danny-avila** in [#7400](https://github.com/danny-avila/LibreChat/pull/7400)
- 🛡️ fix: Preset and Validation Logic for URL Query Params by **@danny-avila** in [#7407](https://github.com/danny-avila/LibreChat/pull/7407)
- 🌘 fix: artifact of preview text is illegible in dark mode by **@nhtruong** in [#7405](https://github.com/danny-avila/LibreChat/pull/7405)
- 🛡️ fix: Temporarily Remove CSP until Configurable by **@danny-avila** in [#7419](https://github.com/danny-avila/LibreChat/pull/7419)
- 💽 fix: Exclude index page `/` from static cache settings by **@sbruel** in [#7382](https://github.com/danny-avila/LibreChat/pull/7382)
### ⚙️ Other Changes
- 📜 docs: CHANGELOG for release v0.7.8 by **@github-actions[bot]** in [#7290](https://github.com/danny-avila/LibreChat/pull/7290)
- 📦 chore: Update API Package Dependencies by **@danny-avila** in [#7359](https://github.com/danny-avila/LibreChat/pull/7359)
- 📜 docs: Unreleased Changelog by **@github-actions[bot]** in [#7321](https://github.com/danny-avila/LibreChat/pull/7321)
- 📜 docs: Unreleased Changelog by **@github-actions[bot]** in [#7434](https://github.com/danny-avila/LibreChat/pull/7434)
- 🛡️ chore: `multer` v2.0.0 for CVE-2025-47935 and CVE-2025-47944 by **@danny-avila** in [#7454](https://github.com/danny-avila/LibreChat/pull/7454)
- 📂 refactor: Improve `FileAttachment` & File Form Deletion by **@danny-avila** in [#7471](https://github.com/danny-avila/LibreChat/pull/7471)
- 📊 chore: Remove Old Helm Chart by **@hofq** in [#7512](https://github.com/danny-avila/LibreChat/pull/7512)
- 🪖 chore: bump helm app version to v0.7.8 by **@austin-barrington** in [#7524](https://github.com/danny-avila/LibreChat/pull/7524)
---
## [v0.7.8] -
Changes from v0.7.8-rc1 to v0.7.8.
### ✨ New Features
- ✨ feat: Enhance form submission for touch screens by **@berry-13** in [#7198](https://github.com/danny-avila/LibreChat/pull/7198)
- 🔍 feat: Additional Tavily API Tool Parameters by **@glowforge-opensource** in [#7232](https://github.com/danny-avila/LibreChat/pull/7232)
- 🐋 feat: Add python to Dockerfile for increased MCP compatibility by **@technicalpickles** in [#7270](https://github.com/danny-avila/LibreChat/pull/7270)
### 🔧 Fixes
- 🔧 fix: Google Gemma Support & OpenAI Reasoning Instructions by **@danny-avila** in [#7196](https://github.com/danny-avila/LibreChat/pull/7196)
- 🛠️ fix: Conversation Navigation State by **@danny-avila** in [#7210](https://github.com/danny-avila/LibreChat/pull/7210)
- 🔄 fix: o-Series Model Regex for System Messages by **@danny-avila** in [#7245](https://github.com/danny-avila/LibreChat/pull/7245)
- 🔖 fix: Custom Headers for Initial MCP SSE Connection by **@danny-avila** in [#7246](https://github.com/danny-avila/LibreChat/pull/7246)
- 🛡️ fix: Deep Clone `MCPOptions` for User MCP Connections by **@danny-avila** in [#7247](https://github.com/danny-avila/LibreChat/pull/7247)
- 🔄 fix: URL Param Race Condition and File Draft Persistence by **@danny-avila** in [#7257](https://github.com/danny-avila/LibreChat/pull/7257)
- 🔄 fix: Assistants Endpoint & Minor Issues by **@danny-avila** in [#7274](https://github.com/danny-avila/LibreChat/pull/7274)
- 🔄 fix: Ollama Think Tag Edge Case with Tools by **@danny-avila** in [#7275](https://github.com/danny-avila/LibreChat/pull/7275)
### ⚙️ Other Changes
- 📜 docs: CHANGELOG for release v0.7.8-rc1 by **@github-actions[bot]** in [#7153](https://github.com/danny-avila/LibreChat/pull/7153)
- 🔄 refactor: Artifact Visibility Management by **@danny-avila** in [#7181](https://github.com/danny-avila/LibreChat/pull/7181)
- 📦 chore: Bump Package Security by **@danny-avila** in [#7183](https://github.com/danny-avila/LibreChat/pull/7183)
- 🌿 refactor: Unmount Fork Popover on Hide for Better Performance by **@danny-avila** in [#7189](https://github.com/danny-avila/LibreChat/pull/7189)
- 🧰 chore: ESLint configuration to enforce Prettier formatting rules by **@mawburn** in [#7186](https://github.com/danny-avila/LibreChat/pull/7186)
- 🎨 style: Improve KaTeX Rendering for LaTeX Equations by **@andresgit** in [#7223](https://github.com/danny-avila/LibreChat/pull/7223)
- 📝 docs: Update `.env.example` Google models by **@marlonka** in [#7254](https://github.com/danny-avila/LibreChat/pull/7254)
- 💬 refactor: MCP Chat Visibility Option, Google Rates, Remove OpenAPI Plugins by **@danny-avila** in [#7286](https://github.com/danny-avila/LibreChat/pull/7286)
- 📜 docs: Unreleased Changelog by **@github-actions[bot]** in [#7214](https://github.com/danny-avila/LibreChat/pull/7214)
[See full release details][release-v0.7.8]
[release-v0.7.8]: https://github.com/danny-avila/LibreChat/releases/tag/v0.7.8
---
## [v0.7.8-rc1] -
Changes from v0.7.7 to v0.7.8-rc1.
### ✨ New Features
- 🔍 feat: Mistral OCR API / Upload Files as Text by **@danny-avila** in [#6274](https://github.com/danny-avila/LibreChat/pull/6274)
- 🤖 feat: Support OpenAI Web Search models by **@danny-avila** in [#6313](https://github.com/danny-avila/LibreChat/pull/6313)
- 🔗 feat: Agent Chain (Mixture-of-Agents) by **@danny-avila** in [#6374](https://github.com/danny-avila/LibreChat/pull/6374)
- ⌛ feat: `initTimeout` for Slow Starting MCP Servers by **@perweij** in [#6383](https://github.com/danny-avila/LibreChat/pull/6383)
- 🚀 feat: `S3` Integration for File handling and Image uploads by **@rubentalstra** in [#6142](https://github.com/danny-avila/LibreChat/pull/6142)
- 🔒feat: Enable OpenID Auto-Redirect by **@leondape** in [#6066](https://github.com/danny-avila/LibreChat/pull/6066)
- 🚀 feat: Integrate `Azure Blob Storage` for file handling and image uploads by **@rubentalstra** in [#6153](https://github.com/danny-avila/LibreChat/pull/6153)
- 🚀 feat: Add support for custom `AWS` endpoint in `S3` by **@rubentalstra** in [#6431](https://github.com/danny-avila/LibreChat/pull/6431)
- 🚀 feat: Add support for LDAP STARTTLS in LDAP authentication by **@rubentalstra** in [#6438](https://github.com/danny-avila/LibreChat/pull/6438)
- 🚀 feat: Refactor schema exports and update package version to 0.0.4 by **@rubentalstra** in [#6455](https://github.com/danny-avila/LibreChat/pull/6455)
- 🔼 feat: Add Auto Submit For URL Query Params by **@mjaverto** in [#6440](https://github.com/danny-avila/LibreChat/pull/6440)
- 🛠 feat: Enhance Redis Integration, Rate Limiters & Log Headers by **@danny-avila** in [#6462](https://github.com/danny-avila/LibreChat/pull/6462)
- 💵 feat: Add Automatic Balance Refill by **@rubentalstra** in [#6452](https://github.com/danny-avila/LibreChat/pull/6452)
- 🗣️ feat: add support for gpt-4o-transcribe models by **@berry-13** in [#6483](https://github.com/danny-avila/LibreChat/pull/6483)
- 🎨 feat: UI Refresh for Enhanced UX by **@berry-13** in [#6346](https://github.com/danny-avila/LibreChat/pull/6346)
- 🌍 feat: Add support for Hungarian language localization by **@rubentalstra** in [#6508](https://github.com/danny-avila/LibreChat/pull/6508)
- 🚀 feat: Add Gemini 2.5 Token/Context Values, Increase Max Possible Output to 64k by **@danny-avila** in [#6563](https://github.com/danny-avila/LibreChat/pull/6563)
- 🚀 feat: Enhance MCP Connections For Multi-User Support by **@danny-avila** in [#6610](https://github.com/danny-avila/LibreChat/pull/6610)
- 🚀 feat: Enhance S3 URL Expiry with Refresh; fix: S3 File Deletion by **@danny-avila** in [#6647](https://github.com/danny-avila/LibreChat/pull/6647)
- 🚀 feat: enhance UI components and refactor settings by **@berry-13** in [#6625](https://github.com/danny-avila/LibreChat/pull/6625)
- 💬 feat: move TemporaryChat to the Header by **@berry-13** in [#6646](https://github.com/danny-avila/LibreChat/pull/6646)
- 🚀 feat: Use Model Specs + Specific Endpoints, Limit Providers for Agents by **@danny-avila** in [#6650](https://github.com/danny-avila/LibreChat/pull/6650)
- 🪙 feat: Sync Balance Config on Login by **@danny-avila** in [#6671](https://github.com/danny-avila/LibreChat/pull/6671)
- 🔦 feat: MCP Support for Non-Agent Endpoints by **@danny-avila** in [#6775](https://github.com/danny-avila/LibreChat/pull/6775)
- 🗃️ feat: Code Interpreter File Persistence between Sessions by **@danny-avila** in [#6790](https://github.com/danny-avila/LibreChat/pull/6790)
- 🖥️ feat: Code Interpreter API for Non-Agent Endpoints by **@danny-avila** in [#6803](https://github.com/danny-avila/LibreChat/pull/6803)
- ⚡ feat: Self-hosted Artifacts Static Bundler URL by **@danny-avila** in [#6827](https://github.com/danny-avila/LibreChat/pull/6827)
- 🐳 feat: Add Jemalloc and UV to Docker Builds by **@danny-avila** in [#6836](https://github.com/danny-avila/LibreChat/pull/6836)
- 🤖 feat: GPT-4.1 by **@danny-avila** in [#6880](https://github.com/danny-avila/LibreChat/pull/6880)
- 👋 feat: remove Edge TTS by **@berry-13** in [#6885](https://github.com/danny-avila/LibreChat/pull/6885)
- feat: nav optimization by **@berry-13** in [#5785](https://github.com/danny-avila/LibreChat/pull/5785)
- 🗺️ feat: Add Parameter Location Mapping for OpenAPI actions by **@peeeteeer** in [#6858](https://github.com/danny-avila/LibreChat/pull/6858)
- 🤖 feat: Support `o4-mini` and `o3` Models by **@danny-avila** in [#6928](https://github.com/danny-avila/LibreChat/pull/6928)
- 🎨 feat: OpenAI Image Tools (GPT-Image-1) by **@danny-avila** in [#7079](https://github.com/danny-avila/LibreChat/pull/7079)
- 🗓️ feat: Add Special Variables for Prompts & Agents, Prompt UI Improvements by **@danny-avila** in [#7123](https://github.com/danny-avila/LibreChat/pull/7123)
### 🌍 Internationalization
- 🌍 i18n: Add Thai Language Support and Update Translations by **@rubentalstra** in [#6219](https://github.com/danny-avila/LibreChat/pull/6219)
- 🌍 i18n: Update translation.json with latest translations by **@github-actions[bot]** in [#6220](https://github.com/danny-avila/LibreChat/pull/6220)
- 🌍 i18n: Update translation.json with latest translations by **@github-actions[bot]** in [#6240](https://github.com/danny-avila/LibreChat/pull/6240)
- 🌍 i18n: Update translation.json with latest translations by **@github-actions[bot]** in [#6241](https://github.com/danny-avila/LibreChat/pull/6241)
- 🌍 i18n: Update translation.json with latest translations by **@github-actions[bot]** in [#6277](https://github.com/danny-avila/LibreChat/pull/6277)
- 🌍 i18n: Update translation.json with latest translations by **@github-actions[bot]** in [#6414](https://github.com/danny-avila/LibreChat/pull/6414)
- 🌍 i18n: Update translation.json with latest translations by **@github-actions[bot]** in [#6505](https://github.com/danny-avila/LibreChat/pull/6505)
- 🌍 i18n: Update translation.json with latest translations by **@github-actions[bot]** in [#6530](https://github.com/danny-avila/LibreChat/pull/6530)
- 🌍 i18n: Add Persian Localization Support by **@rubentalstra** in [#6669](https://github.com/danny-avila/LibreChat/pull/6669)
- 🌍 i18n: Update translation.json with latest translations by **@github-actions[bot]** in [#6667](https://github.com/danny-avila/LibreChat/pull/6667)
- 🌍 i18n: Update translation.json with latest translations by **@github-actions[bot]** in [#7126](https://github.com/danny-avila/LibreChat/pull/7126)
- 🌍 i18n: Update translation.json with latest translations by **@github-actions[bot]** in [#7148](https://github.com/danny-avila/LibreChat/pull/7148)
### 👐 Accessibility
- 🎨 a11y: Update Model Spec Description Text by **@berry-13** in [#6294](https://github.com/danny-avila/LibreChat/pull/6294)
- 🗑️ a11y: Add Accessible Name to Button for File Attachment Removal by **@kangabell** in [#6709](https://github.com/danny-avila/LibreChat/pull/6709)
- ⌨️ a11y: enhance accessibility & visual consistency by **@berry-13** in [#6866](https://github.com/danny-avila/LibreChat/pull/6866)
- 🙌 a11y: Searchbar/Conversations List Focus by **@danny-avila** in [#7096](https://github.com/danny-avila/LibreChat/pull/7096)
- 👐 a11y: Improve Fork and SplitText Accessibility by **@danny-avila** in [#7147](https://github.com/danny-avila/LibreChat/pull/7147)
### 🔧 Fixes
- 🐛 fix: Avatar Type Definitions in Agent/Assistant Schemas by **@danny-avila** in [#6235](https://github.com/danny-avila/LibreChat/pull/6235)
- 🔧 fix: MeiliSearch Field Error and Patch Incorrect Import by #6210 by **@rubentalstra** in [#6245](https://github.com/danny-avila/LibreChat/pull/6245)
- 🔏 fix: Enhance Two-Factor Authentication by **@rubentalstra** in [#6247](https://github.com/danny-avila/LibreChat/pull/6247)
- 🐛 fix: Await saveMessage in abortMiddleware to ensure proper execution by **@sh4shii** in [#6248](https://github.com/danny-avila/LibreChat/pull/6248)
- 🔧 fix: Axios Proxy Usage And Bump `mongoose` by **@danny-avila** in [#6298](https://github.com/danny-avila/LibreChat/pull/6298)
- 🔧 fix: comment out MCP servers to resolve service run issues by **@KunalScriptz** in [#6316](https://github.com/danny-avila/LibreChat/pull/6316)
- 🔧 fix: Update Token Calculations and Mapping, MCP `env` Initialization by **@danny-avila** in [#6406](https://github.com/danny-avila/LibreChat/pull/6406)
- 🐞 fix: Agent "Resend" Message Attachments + Source Icon Styling by **@danny-avila** in [#6408](https://github.com/danny-avila/LibreChat/pull/6408)
- 🐛 fix: Prevent Crash on Duplicate Message ID by **@Odrec** in [#6392](https://github.com/danny-avila/LibreChat/pull/6392)
- 🔐 fix: Invalid Key Length in 2FA Encryption by **@rubentalstra** in [#6432](https://github.com/danny-avila/LibreChat/pull/6432)
- 🏗️ fix: Fix Agents Token Spend Race Conditions, Expand Test Coverage by **@danny-avila** in [#6480](https://github.com/danny-avila/LibreChat/pull/6480)
- 🔃 fix: Draft Clearing, Claude Titles, Remove Default Vision Max Tokens by **@danny-avila** in [#6501](https://github.com/danny-avila/LibreChat/pull/6501)
- 🔧 fix: Update username reference to use user.name in greeting display by **@rubentalstra** in [#6534](https://github.com/danny-avila/LibreChat/pull/6534)
- 🔧 fix: S3 Download Stream with Key Extraction and Blob Storage Encoding for Vision by **@danny-avila** in [#6557](https://github.com/danny-avila/LibreChat/pull/6557)
- 🔧 fix: Mistral type strictness for `usage` & update token values/windows by **@danny-avila** in [#6562](https://github.com/danny-avila/LibreChat/pull/6562)
- 🔧 fix: Consolidate Text Parsing and TTS Edge Initialization by **@danny-avila** in [#6582](https://github.com/danny-avila/LibreChat/pull/6582)
- 🔧 fix: Ensure continuation in image processing on base64 encoding from Blob Storage by **@danny-avila** in [#6619](https://github.com/danny-avila/LibreChat/pull/6619)
- ✉️ fix: Fallback For User Name In Email Templates by **@danny-avila** in [#6620](https://github.com/danny-avila/LibreChat/pull/6620)
- 🔧 fix: Azure Blob Integration and File Source References by **@rubentalstra** in [#6575](https://github.com/danny-avila/LibreChat/pull/6575)
- 🐛 fix: Safeguard against undefined addedEndpoints by **@wipash** in [#6654](https://github.com/danny-avila/LibreChat/pull/6654)
- 🤖 fix: Gemini 2.5 Vision Support by **@danny-avila** in [#6663](https://github.com/danny-avila/LibreChat/pull/6663)
- 🔄 fix: Avatar & Error Handling Enhancements by **@danny-avila** in [#6687](https://github.com/danny-avila/LibreChat/pull/6687)
- 🔧 fix: Chat Middleware, Zod Conversion, Auto-Save and S3 URL Refresh by **@danny-avila** in [#6720](https://github.com/danny-avila/LibreChat/pull/6720)
- 🔧 fix: Agent Capability Checks & DocumentDB Compatibility for Agent Resource Removal by **@danny-avila** in [#6726](https://github.com/danny-avila/LibreChat/pull/6726)
- 🔄 fix: Improve audio MIME type detection and handling by **@berry-13** in [#6707](https://github.com/danny-avila/LibreChat/pull/6707)
- 🪺 fix: Update Role Handling due to New Schema Shape by **@danny-avila** in [#6774](https://github.com/danny-avila/LibreChat/pull/6774)
- 🗨️ fix: Show ModelSpec Greeting by **@berry-13** in [#6770](https://github.com/danny-avila/LibreChat/pull/6770)
- 🔧 fix: Keyv and Proxy Issues, and More Memory Optimizations by **@danny-avila** in [#6867](https://github.com/danny-avila/LibreChat/pull/6867)
- ✨ fix: Implement dynamic text sizing for greeting and name display by **@berry-13** in [#6833](https://github.com/danny-avila/LibreChat/pull/6833)
- 📝 fix: Mistral OCR Image Support and Azure Agent Titles by **@danny-avila** in [#6901](https://github.com/danny-avila/LibreChat/pull/6901)
- 📢 fix: Invalid `engineTTS` and Conversation State on Navigation by **@berry-13** in [#6904](https://github.com/danny-avila/LibreChat/pull/6904)
- 🛠️ fix: Improve Accessibility and Display of Conversation Menu by **@danny-avila** in [#6913](https://github.com/danny-avila/LibreChat/pull/6913)
- 🔧 fix: Agent Resource Form, Convo Menu Style, Ensure Draft Clears on Submission by **@danny-avila** in [#6925](https://github.com/danny-avila/LibreChat/pull/6925)
- 🔀 fix: MCP Improvements, Auto-Save Drafts, Artifact Markup by **@danny-avila** in [#7040](https://github.com/danny-avila/LibreChat/pull/7040)
- 🐋 fix: Improve Deepseek Compatbility by **@danny-avila** in [#7132](https://github.com/danny-avila/LibreChat/pull/7132)
- 🐙 fix: Add Redis Ping Interval to Prevent Connection Drops by **@peeeteeer** in [#7127](https://github.com/danny-avila/LibreChat/pull/7127)
### ⚙️ Other Changes
- 📦 refactor: Move DB Models to `@librechat/data-schemas` by **@rubentalstra** in [#6210](https://github.com/danny-avila/LibreChat/pull/6210)
- 📦 chore: Patch `axios` to address CVE-2025-27152 by **@danny-avila** in [#6222](https://github.com/danny-avila/LibreChat/pull/6222)
- ⚠️ refactor: Use Error Content Part Instead Of Throwing Error for Agents by **@danny-avila** in [#6262](https://github.com/danny-avila/LibreChat/pull/6262)
- 🏃‍♂️ refactor: Improve Agent Run Context & Misc. Changes by **@danny-avila** in [#6448](https://github.com/danny-avila/LibreChat/pull/6448)
- 📝 docs: librechat.example.yaml by **@ineiti** in [#6442](https://github.com/danny-avila/LibreChat/pull/6442)
- 🏃‍♂️ refactor: More Agent Context Improvements during Run by **@danny-avila** in [#6477](https://github.com/danny-avila/LibreChat/pull/6477)
- 🔃 refactor: Allow streaming for `o1` models by **@danny-avila** in [#6509](https://github.com/danny-avila/LibreChat/pull/6509)
- 🔧 chore: `Vite` Plugin Upgrades & Config Optimizations by **@rubentalstra** in [#6547](https://github.com/danny-avila/LibreChat/pull/6547)
- 🔧 refactor: Consolidate Logging, Model Selection & Actions Optimizations, Minor Fixes by **@danny-avila** in [#6553](https://github.com/danny-avila/LibreChat/pull/6553)
- 🎨 style: Address Minor UI Refresh Issues by **@berry-13** in [#6552](https://github.com/danny-avila/LibreChat/pull/6552)
- 🔧 refactor: Enhance Model & Endpoint Configurations with Global Indicators 🌍 by **@berry-13** in [#6578](https://github.com/danny-avila/LibreChat/pull/6578)
- 💬 style: Chat UI, Greeting, and Message adjustments by **@berry-13** in [#6612](https://github.com/danny-avila/LibreChat/pull/6612)
- ⚡ refactor: DocumentDB Compatibility for Balance Updates by **@danny-avila** in [#6673](https://github.com/danny-avila/LibreChat/pull/6673)
- 🧹 chore: Update ESLint rules for React hooks by **@rubentalstra** in [#6685](https://github.com/danny-avila/LibreChat/pull/6685)
- 🪙 chore: Update Gemini Pricing by **@RedwindA** in [#6731](https://github.com/danny-avila/LibreChat/pull/6731)
- 🪺 refactor: Nest Permission fields for Roles by **@rubentalstra** in [#6487](https://github.com/danny-avila/LibreChat/pull/6487)
- 📦 chore: Update `caniuse-lite` dependency to version 1.0.30001706 by **@rubentalstra** in [#6482](https://github.com/danny-avila/LibreChat/pull/6482)
- ⚙️ refactor: OAuth Flow Signal, Type Safety, Tool Progress & Updated Packages by **@danny-avila** in [#6752](https://github.com/danny-avila/LibreChat/pull/6752)
- 📦 chore: bump vite from 6.2.3 to 6.2.5 by **@dependabot[bot]** in [#6745](https://github.com/danny-avila/LibreChat/pull/6745)
- 💾 chore: Enhance Local Storage Handling and Update MCP SDK by **@danny-avila** in [#6809](https://github.com/danny-avila/LibreChat/pull/6809)
- 🤖 refactor: Improve Agents Memory Usage, Bump Keyv, Grok 3 by **@danny-avila** in [#6850](https://github.com/danny-avila/LibreChat/pull/6850)
- 💾 refactor: Enhance Memory In Image Encodings & Client Disposal by **@danny-avila** in [#6852](https://github.com/danny-avila/LibreChat/pull/6852)
- 🔁 refactor: Token Event Handler and Standardize `maxTokens` Key by **@danny-avila** in [#6886](https://github.com/danny-avila/LibreChat/pull/6886)
- 🔍 refactor: Search & Message Retrieval by **@berry-13** in [#6903](https://github.com/danny-avila/LibreChat/pull/6903)
- 🎨 style: standardize dropdown styling & fix z-Index layering by **@berry-13** in [#6939](https://github.com/danny-avila/LibreChat/pull/6939)
- 📙 docs: CONTRIBUTING.md by **@dblock** in [#6831](https://github.com/danny-avila/LibreChat/pull/6831)
- 🧭 refactor: Modernize Nav/Header by **@danny-avila** in [#7094](https://github.com/danny-avila/LibreChat/pull/7094)
- 🪶 refactor: Chat Input Focus for Conversation Navigations & ChatForm Optimizations by **@danny-avila** in [#7100](https://github.com/danny-avila/LibreChat/pull/7100)
- 🔃 refactor: Streamline Navigation, Message Loading UX by **@danny-avila** in [#7118](https://github.com/danny-avila/LibreChat/pull/7118)
- 📜 docs: Unreleased changelog by **@github-actions[bot]** in [#6265](https://github.com/danny-avila/LibreChat/pull/6265)
[See full release details][release-v0.7.8-rc1]
[release-v0.7.8-rc1]: https://github.com/danny-avila/LibreChat/releases/tag/v0.7.8-rc1
---

View File

@@ -1,18 +1,9 @@
# v0.7.8
# v0.7.6
# Base node image
FROM node:20-alpine AS node
# Install jemalloc
RUN apk add --no-cache jemalloc
RUN apk add --no-cache python3 py3-pip uv
# Set environment variable to use jemalloc
ENV LD_PRELOAD=/usr/lib/libjemalloc.so.2
# Add `uv` for extended MCP support
COPY --from=ghcr.io/astral-sh/uv:0.6.13 /uv /uvx /bin/
RUN uv --version
RUN apk --no-cache add curl
RUN mkdir -p /app && chown node:node /app
WORKDIR /app
@@ -47,4 +38,4 @@ CMD ["npm", "run", "backend"]
# WORKDIR /usr/share/nginx/html
# COPY --from=node /app/client/dist /usr/share/nginx/html
# COPY client/nginx.conf /etc/nginx/conf.d/default.conf
# ENTRYPOINT ["nginx", "-g", "daemon off;"]
# ENTRYPOINT ["nginx", "-g", "daemon off;"]

View File

@@ -1,12 +1,8 @@
# Dockerfile.multi
# v0.7.8
# v0.7.6
# Base for all builds
FROM node:20-alpine AS base-min
# Install jemalloc
RUN apk add --no-cache jemalloc
# Set environment variable to use jemalloc
ENV LD_PRELOAD=/usr/lib/libjemalloc.so.2
WORKDIR /app
RUN apk --no-cache add curl
RUN npm config set fetch-retry-maxtimeout 600000 && \
@@ -15,7 +11,6 @@ RUN npm config set fetch-retry-maxtimeout 600000 && \
COPY package*.json ./
COPY packages/data-provider/package*.json ./packages/data-provider/
COPY packages/mcp/package*.json ./packages/mcp/
COPY packages/data-schemas/package*.json ./packages/data-schemas/
COPY client/package*.json ./client/
COPY api/package*.json ./api/
@@ -37,13 +32,6 @@ COPY packages/mcp ./
COPY --from=data-provider-build /app/packages/data-provider/dist /app/packages/data-provider/dist
RUN npm run build
# Build data-schemas
FROM base AS data-schemas-build
WORKDIR /app/packages/data-schemas
COPY packages/data-schemas ./
COPY --from=data-provider-build /app/packages/data-provider/dist /app/packages/data-provider/dist
RUN npm run build
# Client build
FROM base AS client-build
WORKDIR /app/client
@@ -54,9 +42,6 @@ RUN npm run build
# API setup (including client dist)
FROM base-min AS api-build
# Add `uv` for extended MCP support
COPY --from=ghcr.io/astral-sh/uv:0.6.13 /uv /uvx /bin/
RUN uv --version
WORKDIR /app
# Install only production deps
RUN npm ci --omit=dev
@@ -64,9 +49,8 @@ COPY api ./api
COPY config ./config
COPY --from=data-provider-build /app/packages/data-provider/dist ./packages/data-provider/dist
COPY --from=mcp-build /app/packages/mcp/dist ./packages/mcp/dist
COPY --from=data-schemas-build /app/packages/data-schemas/dist ./packages/data-schemas/dist
COPY --from=client-build /app/client/dist ./client/dist
WORKDIR /app/api
EXPOSE 3080
ENV HOST=0.0.0.0
CMD ["node", "server/index.js"]
CMD ["node", "server/index.js"]

View File

@@ -1,6 +1,6 @@
MIT License
Copyright (c) 2025 LibreChat
Copyright (c) 2024 LibreChat
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal

View File

@@ -71,19 +71,9 @@
- [Model Context Protocol (MCP) Support](https://modelcontextprotocol.io/clients#librechat) for Tools
- Use LibreChat Agents and OpenAI Assistants with Files, Code Interpreter, Tools, and API Actions
- 🔍 **Web Search**:
- Search the internet and retrieve relevant information to enhance your AI context
- Combines search providers, content scrapers, and result rerankers for optimal results
- **[Learn More →](https://www.librechat.ai/docs/features/web_search)**
- 🪄 **Generative UI with Code Artifacts**:
- [Code Artifacts](https://youtu.be/GfTj7O4gmd0?si=WJbdnemZpJzBrJo3) allow creation of React, HTML, and Mermaid diagrams directly in chat
- 🎨 **Image Generation & Editing**
- Text-to-image and image-to-image with [GPT-Image-1](https://www.librechat.ai/docs/features/image_gen#1--openai-image-tools-recommended)
- Text-to-image with [DALL-E (3/2)](https://www.librechat.ai/docs/features/image_gen#2--dalle-legacy), [Stable Diffusion](https://www.librechat.ai/docs/features/image_gen#3--stable-diffusion-local), [Flux](https://www.librechat.ai/docs/features/image_gen#4--flux), or any [MCP server](https://www.librechat.ai/docs/features/image_gen#5--model-context-protocol-mcp)
- Produce stunning visuals from prompts or refine existing images with a single instruction
- 💾 **Presets & Context Management**:
- Create, Save, & Share Custom Presets
- Switch between AI Endpoints and Presets mid-chat
@@ -91,7 +81,7 @@
- [Fork Messages & Conversations](https://www.librechat.ai/docs/features/fork) for Advanced Context control
- 💬 **Multimodal & File Interactions**:
- Upload and analyze images with Claude 3, GPT-4.5, GPT-4o, o1, Llama-Vision, and Gemini 📸
- Upload and analyze images with Claude 3, GPT-4o, o1, Llama-Vision, and Gemini 📸
- Chat with Files using Custom Endpoints, OpenAI, Azure, Anthropic, AWS Bedrock, & Google 🗃️
- 🌎 **Multilingual UI**:
@@ -207,6 +197,6 @@ We thank [Locize](https://locize.com) for their translation management tools tha
<p align="center">
<a href="https://locize.com" target="_blank" rel="noopener noreferrer">
<img src="https://github.com/user-attachments/assets/d6b70894-6064-475e-bb65-92a9e23e0077" alt="Locize Logo" height="50">
<img src="https://locize.com/img/locize_color.svg" alt="Locize Logo" height="50">
</a>
</p>

View File

@@ -2,14 +2,12 @@ const Anthropic = require('@anthropic-ai/sdk');
const { HttpsProxyAgent } = require('https-proxy-agent');
const {
Constants,
ErrorTypes,
EModelEndpoint,
parseTextParts,
anthropicSettings,
getResponseSender,
validateVisionModel,
} = require('librechat-data-provider');
const { SplitStreamHandler: _Handler } = require('@librechat/agents');
const { encodeAndFormat } = require('~/server/services/Files/images/encode');
const {
truncateText,
formatMessage,
@@ -18,15 +16,8 @@ const {
parseParamFromPrompt,
createContextHandlers,
} = require('./prompts');
const {
getClaudeHeaders,
configureReasoning,
checkPromptCacheSupport,
} = require('~/server/services/Endpoints/anthropic/helpers');
const { getModelMaxTokens, getModelMaxOutputTokens, matchModelName } = require('~/utils');
const { spendTokens, spendStructuredTokens } = require('~/models/spendTokens');
const { encodeAndFormat } = require('~/server/services/Files/images/encode');
const { createFetch, createStreamEventHandlers } = require('./generators');
const Tokenizer = require('~/server/services/Tokenizer');
const { sleep } = require('~/server/utils');
const BaseClient = require('./BaseClient');
@@ -35,15 +26,6 @@ const { logger } = require('~/config');
const HUMAN_PROMPT = '\n\nHuman:';
const AI_PROMPT = '\n\nAssistant:';
class SplitStreamHandler extends _Handler {
getDeltaContent(chunk) {
return (chunk?.delta?.text ?? chunk?.completion) || '';
}
getReasoningDelta(chunk) {
return chunk?.delta?.thinking || '';
}
}
/** Helper function to introduce a delay before retrying */
function delayBeforeRetry(attempts, baseDelay = 1000) {
return new Promise((resolve) => setTimeout(resolve, baseDelay * attempts));
@@ -70,10 +52,13 @@ class AnthropicClient extends BaseClient {
this.message_delta;
/** Whether the model is part of the Claude 3 Family
* @type {boolean} */
this.isClaudeLatest;
this.isClaude3;
/** Whether to use Messages API or Completions API
* @type {boolean} */
this.useMessages;
/** Whether or not the model is limited to the legacy amount of output tokens
* @type {boolean} */
this.isLegacyOutput;
/** Whether or not the model supports Prompt Caching
* @type {boolean} */
this.supportsCacheControl;
@@ -83,8 +68,6 @@ class AnthropicClient extends BaseClient {
/** The key for the usage object's output tokens
* @type {string} */
this.outputTokensKey = 'output_tokens';
/** @type {SplitStreamHandler | undefined} */
this.streamHandler;
}
setOptions(options) {
@@ -113,25 +96,20 @@ class AnthropicClient extends BaseClient {
);
const modelMatch = matchModelName(this.modelOptions.model, EModelEndpoint.anthropic);
this.isClaudeLatest =
/claude-[3-9]/.test(modelMatch) || /claude-(?:sonnet|opus|haiku)-[4-9]/.test(modelMatch);
const isLegacyOutput = !(
/claude-3[-.]5-sonnet/.test(modelMatch) ||
/claude-3[-.]7/.test(modelMatch) ||
/claude-(?:sonnet|opus|haiku)-[4-9]/.test(modelMatch) ||
/claude-[4-9]/.test(modelMatch)
);
this.supportsCacheControl = this.options.promptCache && checkPromptCacheSupport(modelMatch);
this.isClaude3 = modelMatch.includes('claude-3');
this.isLegacyOutput = !modelMatch.includes('claude-3-5-sonnet');
this.supportsCacheControl =
this.options.promptCache && this.checkPromptCacheSupport(modelMatch);
if (
isLegacyOutput &&
this.isLegacyOutput &&
this.modelOptions.maxOutputTokens &&
this.modelOptions.maxOutputTokens > legacy.maxOutputTokens.default
) {
this.modelOptions.maxOutputTokens = legacy.maxOutputTokens.default;
}
this.useMessages = this.isClaudeLatest || !!this.options.attachments;
this.useMessages = this.isClaude3 || !!this.options.attachments;
this.defaultVisionModel = this.options.visionModel ?? 'claude-3-sonnet-20240229';
this.options.attachments?.then((attachments) => this.checkVisionRequest(attachments));
@@ -147,21 +125,16 @@ class AnthropicClient extends BaseClient {
this.options.endpointType ?? this.options.endpoint,
this.options.endpointTokenConfig,
) ??
anthropicSettings.maxOutputTokens.reset(this.modelOptions.model);
1500;
this.maxPromptTokens =
this.options.maxPromptTokens || this.maxContextTokens - this.maxResponseTokens;
const reservedTokens = this.maxPromptTokens + this.maxResponseTokens;
if (reservedTokens > this.maxContextTokens) {
const info = `Total Possible Tokens + Max Output Tokens must be less than or equal to Max Context Tokens: ${this.maxPromptTokens} (total possible output) + ${this.maxResponseTokens} (max output) = ${reservedTokens}/${this.maxContextTokens} (max context)`;
const errorMessage = `{ "type": "${ErrorTypes.INPUT_LENGTH}", "info": "${info}" }`;
logger.warn(info);
throw new Error(errorMessage);
} else if (this.maxResponseTokens === this.maxContextTokens) {
const info = `Max Output Tokens must be less than Max Context Tokens: ${this.maxResponseTokens} (max output) = ${this.maxContextTokens} (max context)`;
const errorMessage = `{ "type": "${ErrorTypes.INPUT_LENGTH}", "info": "${info}" }`;
logger.warn(info);
throw new Error(errorMessage);
if (this.maxPromptTokens + this.maxResponseTokens > this.maxContextTokens) {
throw new Error(
`maxPromptTokens + maxOutputTokens (${this.maxPromptTokens} + ${this.maxResponseTokens} = ${
this.maxPromptTokens + this.maxResponseTokens
}) must be less than or equal to maxContextTokens (${this.maxContextTokens})`,
);
}
this.sender =
@@ -186,10 +159,7 @@ class AnthropicClient extends BaseClient {
getClient(requestOptions) {
/** @type {Anthropic.ClientOptions} */
const options = {
fetch: createFetch({
directEndpoint: this.options.directEndpoint,
reverseProxyUrl: this.options.reverseProxyUrl,
}),
fetch: this.fetch,
apiKey: this.apiKey,
};
@@ -201,9 +171,18 @@ class AnthropicClient extends BaseClient {
options.baseURL = this.options.reverseProxyUrl;
}
const headers = getClaudeHeaders(requestOptions?.model, this.supportsCacheControl);
if (headers) {
options.defaultHeaders = headers;
if (
this.supportsCacheControl &&
requestOptions?.model &&
requestOptions.model.includes('claude-3-5-sonnet')
) {
options.defaultHeaders = {
'anthropic-beta': 'max-tokens-3-5-sonnet-2024-07-15,prompt-caching-2024-07-31',
};
} else if (this.supportsCacheControl) {
options.defaultHeaders = {
'anthropic-beta': 'prompt-caching-2024-07-31',
};
}
return new Anthropic(options);
@@ -397,13 +376,13 @@ class AnthropicClient extends BaseClient {
const formattedMessages = orderedMessages.map((message, i) => {
const formattedMessage = this.useMessages
? formatMessage({
message,
endpoint: EModelEndpoint.anthropic,
})
message,
endpoint: EModelEndpoint.anthropic,
})
: {
author: message.isCreatedByUser ? this.userLabel : this.assistantLabel,
content: message?.content ?? message.text,
};
author: message.isCreatedByUser ? this.userLabel : this.assistantLabel,
content: message?.content ?? message.text,
};
const needsTokenCount = this.contextStrategy && !orderedMessages[i].tokenCount;
/* If tokens were never counted, or, is a Vision request and the message has files, count again */
@@ -419,9 +398,6 @@ class AnthropicClient extends BaseClient {
this.contextHandlers?.processFile(file);
continue;
}
if (file.metadata?.fileIdentifier) {
continue;
}
orderedMessages[i].tokenCount += this.calculateImageTokenCost({
width: file.width,
@@ -655,10 +631,7 @@ class AnthropicClient extends BaseClient {
);
};
if (
/claude-[3-9]/.test(this.modelOptions.model) ||
/claude-(?:sonnet|opus|haiku)-[4-9]/.test(this.modelOptions.model)
) {
if (this.modelOptions.model.includes('claude-3')) {
await buildMessagesPayload();
processTokens();
return {
@@ -684,7 +657,7 @@ class AnthropicClient extends BaseClient {
}
getCompletion() {
logger.debug("AnthropicClient doesn't use getCompletion (all handled in sendCompletion)");
logger.debug('AnthropicClient doesn\'t use getCompletion (all handled in sendCompletion)');
}
/**
@@ -695,41 +668,29 @@ class AnthropicClient extends BaseClient {
* @returns {Promise<Anthropic.default.Message | Anthropic.default.Completion>} The response from the Anthropic client.
*/
async createResponse(client, options, useMessages) {
return (useMessages ?? this.useMessages)
return useMessages ?? this.useMessages
? await client.messages.create(options)
: await client.completions.create(options);
}
getMessageMapMethod() {
/**
* @param {TMessage} msg
*/
return (msg) => {
if (msg.text != null && msg.text && msg.text.startsWith(':::thinking')) {
msg.text = msg.text.replace(/:::thinking.*?:::/gs, '').trim();
} else if (msg.content != null) {
msg.text = parseTextParts(msg.content, true);
delete msg.content;
}
return msg;
};
}
/**
* @param {string[]} [intermediateReply]
* @returns {string}
* @param {string} modelName
* @returns {boolean}
*/
getStreamText(intermediateReply) {
if (!this.streamHandler) {
return intermediateReply?.join('') ?? '';
checkPromptCacheSupport(modelName) {
const modelMatch = matchModelName(modelName, EModelEndpoint.anthropic);
if (modelMatch.includes('claude-3-5-sonnet-latest')) {
return false;
}
const reasoningText = this.streamHandler.reasoningTokens.join('');
const reasoningBlock = reasoningText.length > 0 ? `:::thinking\n${reasoningText}\n:::\n` : '';
return `${reasoningBlock}${this.streamHandler.tokens.join('')}`;
if (
modelMatch === 'claude-3-5-sonnet' ||
modelMatch === 'claude-3-5-haiku' ||
modelMatch === 'claude-3-haiku' ||
modelMatch === 'claude-3-opus'
) {
return true;
}
return false;
}
async sendCompletion(payload, { onProgress, abortController }) {
@@ -749,6 +710,7 @@ class AnthropicClient extends BaseClient {
user_id: this.user,
};
let text = '';
const {
stream,
model,
@@ -759,34 +721,22 @@ class AnthropicClient extends BaseClient {
topK: top_k,
} = this.modelOptions;
let requestOptions = {
const requestOptions = {
model,
stream: stream || true,
stop_sequences,
temperature,
metadata,
top_p,
top_k,
};
if (this.useMessages) {
requestOptions.messages = payload;
requestOptions.max_tokens =
maxOutputTokens || anthropicSettings.maxOutputTokens.reset(requestOptions.model);
requestOptions.max_tokens = maxOutputTokens || legacy.maxOutputTokens.default;
} else {
requestOptions.prompt = payload;
requestOptions.max_tokens_to_sample = maxOutputTokens || legacy.maxOutputTokens.default;
}
requestOptions = configureReasoning(requestOptions, {
thinking: this.options.thinking,
thinkingBudget: this.options.thinkingBudget,
});
if (!/claude-3[-.]7/.test(model)) {
requestOptions.top_p = top_p;
requestOptions.top_k = top_k;
} else if (requestOptions.thinking == null) {
requestOptions.topP = top_p;
requestOptions.topK = top_k;
requestOptions.max_tokens_to_sample = maxOutputTokens || 1500;
}
if (this.systemMessage && this.supportsCacheControl === true) {
@@ -806,14 +756,13 @@ class AnthropicClient extends BaseClient {
}
logger.debug('[AnthropicClient]', { ...requestOptions });
const handlers = createStreamEventHandlers(this.options.res);
this.streamHandler = new SplitStreamHandler({
accumulate: true,
runId: this.responseMessageId,
handlers,
});
let intermediateReply = this.streamHandler.tokens;
const handleChunk = (currentChunk) => {
if (currentChunk) {
text += currentChunk;
onProgress(currentChunk);
}
};
const maxRetries = 3;
const streamRate = this.options.streamRate ?? Constants.DEFAULT_STREAM_RATE;
@@ -834,15 +783,22 @@ class AnthropicClient extends BaseClient {
});
for await (const completion of response) {
// Handle each completion as before
const type = completion?.type ?? '';
if (tokenEventTypes.has(type)) {
logger.debug(`[AnthropicClient] ${type}`, completion);
this[type] = completion;
}
this.streamHandler.handle(completion);
if (completion?.delta?.text) {
handleChunk(completion.delta.text);
} else if (completion.completion) {
handleChunk(completion.completion);
}
await sleep(streamRate);
}
// Successful processing, exit loop
break;
} catch (error) {
attempts += 1;
@@ -852,10 +808,6 @@ class AnthropicClient extends BaseClient {
if (attempts < maxRetries) {
await delayBeforeRetry(attempts, 350);
} else if (this.streamHandler && this.streamHandler.reasoningTokens.length) {
return this.getStreamText();
} else if (intermediateReply.length > 0) {
return this.getStreamText(intermediateReply);
} else {
throw new Error(`Operation failed after ${maxRetries} attempts: ${error.message}`);
}
@@ -871,7 +823,8 @@ class AnthropicClient extends BaseClient {
}
await processResponse.bind(this)();
return this.getStreamText(intermediateReply);
return text.trim();
}
getSaveOptions() {
@@ -881,8 +834,6 @@ class AnthropicClient extends BaseClient {
promptPrefix: this.options.promptPrefix,
modelLabel: this.options.modelLabel,
promptCache: this.options.promptCache,
thinking: this.options.thinking,
thinkingBudget: this.options.thinkingBudget,
resendFiles: this.options.resendFiles,
iconURL: this.options.iconURL,
greeting: this.options.greeting,
@@ -892,7 +843,7 @@ class AnthropicClient extends BaseClient {
}
getBuildMessagesOptions() {
logger.debug("AnthropicClient doesn't use getBuildMessagesOptions");
logger.debug('AnthropicClient doesn\'t use getBuildMessagesOptions');
}
getEncoding() {

View File

@@ -5,15 +5,13 @@ const {
isAgentsEndpoint,
isParamEndpoint,
EModelEndpoint,
ContentTypes,
excludedKeys,
ErrorTypes,
Constants,
} = require('librechat-data-provider');
const { getMessages, saveMessage, updateMessage, saveConvo, getConvo } = require('~/models');
const { checkBalance } = require('~/models/balanceMethods');
const { getMessages, saveMessage, updateMessage, saveConvo } = require('~/models');
const { addSpaceIfNeeded, isEnabled } = require('~/server/utils');
const { truncateToolCallOutputs } = require('./prompts');
const { addSpaceIfNeeded } = require('~/server/utils');
const checkBalance = require('~/models/checkBalance');
const { getFiles } = require('~/models/File');
const TextStream = require('./TextStream');
const { logger } = require('~/config');
@@ -28,10 +26,15 @@ class BaseClient {
month: 'long',
day: 'numeric',
});
this.fetch = this.fetch.bind(this);
/** @type {boolean} */
this.skipSaveConvo = false;
/** @type {boolean} */
this.skipSaveUserMessage = false;
/** @type {ClientDatabaseSavePromise} */
this.userMessagePromise;
/** @type {ClientDatabaseSavePromise} */
this.responsePromise;
/** @type {string} */
this.user;
/** @type {string} */
@@ -52,10 +55,6 @@ class BaseClient {
* Flag to determine if the client re-submitted the latest assistant message.
* @type {boolean | undefined} */
this.continued;
/**
* Flag to determine if the client has already fetched the conversation while saving new messages.
* @type {boolean | undefined} */
this.fetchedConvo;
/** @type {TMessage[]} */
this.currentMessages = [];
/** @type {import('librechat-data-provider').VisionModes | undefined} */
@@ -63,15 +62,15 @@ class BaseClient {
}
setOptions() {
throw new Error("Method 'setOptions' must be implemented.");
throw new Error('Method \'setOptions\' must be implemented.');
}
async getCompletion() {
throw new Error("Method 'getCompletion' must be implemented.");
throw new Error('Method \'getCompletion\' must be implemented.');
}
async sendCompletion() {
throw new Error("Method 'sendCompletion' must be implemented.");
throw new Error('Method \'sendCompletion\' must be implemented.');
}
getSaveOptions() {
@@ -237,11 +236,11 @@ class BaseClient {
const userMessage = opts.isEdited
? this.currentMessages[this.currentMessages.length - 2]
: this.createUserMessage({
messageId: userMessageId,
parentMessageId,
conversationId,
text: message,
});
messageId: userMessageId,
parentMessageId,
conversationId,
text: message,
});
if (typeof opts?.getReqData === 'function') {
opts.getReqData({
@@ -361,14 +360,17 @@ class BaseClient {
* context: TMessage[],
* remainingContextTokens: number,
* messagesToRefine: TMessage[],
* }>} An object with three properties: `context`, `remainingContextTokens`, and `messagesToRefine`.
* summaryIndex: number,
* }>} An object with four properties: `context`, `summaryIndex`, `remainingContextTokens`, and `messagesToRefine`.
* `context` is an array of messages that fit within the token limit.
* `summaryIndex` is the index of the first message in the `messagesToRefine` array.
* `remainingContextTokens` is the number of tokens remaining within the limit after adding the messages to the context.
* `messagesToRefine` is an array of messages that were not added to the context because they would have exceeded the token limit.
*/
async getMessagesWithinTokenLimit({ messages: _messages, maxContextTokens, instructions }) {
// Every reply is primed with <|start|>assistant<|message|>, so we
// start with 3 tokens for the label after all messages have been counted.
let summaryIndex = -1;
let currentTokenCount = 3;
const instructionsTokenCount = instructions?.tokenCount ?? 0;
let remainingContextTokens =
@@ -401,12 +403,14 @@ class BaseClient {
}
const prunedMemory = messages;
summaryIndex = prunedMemory.length - 1;
remainingContextTokens -= currentTokenCount;
return {
context: context.reverse(),
remainingContextTokens,
messagesToRefine: prunedMemory,
summaryIndex,
};
}
@@ -449,7 +453,7 @@ class BaseClient {
let orderedWithInstructions = this.addInstructions(orderedMessages, instructions);
let { context, remainingContextTokens, messagesToRefine } =
let { context, remainingContextTokens, messagesToRefine, summaryIndex } =
await this.getMessagesWithinTokenLimit({
messages: orderedWithInstructions,
instructions,
@@ -519,7 +523,7 @@ class BaseClient {
}
// Make sure to only continue summarization logic if the summary message was generated
shouldSummarize = summaryMessage != null && shouldSummarize === true;
shouldSummarize = summaryMessage && shouldSummarize;
logger.debug('[BaseClient] Context Count (2/2)', {
remainingContextTokens,
@@ -529,18 +533,17 @@ class BaseClient {
/** @type {Record<string, number> | undefined} */
let tokenCountMap;
if (buildTokenMap) {
const currentPayload = shouldSummarize ? orderedWithInstructions : context;
tokenCountMap = currentPayload.reduce((map, message, index) => {
tokenCountMap = orderedWithInstructions.reduce((map, message, index) => {
const { messageId } = message;
if (!messageId) {
return map;
}
if (shouldSummarize && index === messagesToRefine.length - 1 && !usePrevSummary) {
if (shouldSummarize && index === summaryIndex && !usePrevSummary) {
map.summaryMessage = { ...summaryMessage, messageId, tokenCount: summaryTokenCount };
}
map[messageId] = currentPayload[index].tokenCount;
map[messageId] = orderedWithInstructions[index].tokenCount;
return map;
}, {});
}
@@ -559,8 +562,6 @@ class BaseClient {
}
async sendMessage(message, opts = {}) {
/** @type {Promise<TMessage>} */
let userMessagePromise;
const { user, head, isEdited, conversationId, responseMessageId, saveOptions, userMessage } =
await this.handleStartMethods(message, opts);
@@ -622,18 +623,17 @@ class BaseClient {
}
if (!isEdited && !this.skipSaveUserMessage) {
userMessagePromise = this.saveMessageToDatabase(userMessage, saveOptions, user);
this.userMessagePromise = this.saveMessageToDatabase(userMessage, saveOptions, user);
this.savedMessageIds.add(userMessage.messageId);
if (typeof opts?.getReqData === 'function') {
opts.getReqData({
userMessagePromise,
userMessagePromise: this.userMessagePromise,
});
}
}
const balance = this.options.req?.app?.locals?.balance;
if (
balance?.enabled &&
isEnabled(process.env.CHECK_BALANCE) &&
supportsBalanceCheck[this.options.endpointType ?? this.options.endpoint]
) {
await checkBalance({
@@ -652,9 +652,7 @@ class BaseClient {
/** @type {string|string[]|undefined} */
const completion = await this.sendCompletion(payload, opts);
if (this.abortController) {
this.abortController.requestCompleted = true;
}
this.abortController.requestCompleted = true;
/** @type {TMessage} */
const responseMessage = {
@@ -675,8 +673,7 @@ class BaseClient {
responseMessage.text = addSpaceIfNeeded(generation) + completion;
} else if (
Array.isArray(completion) &&
(this.clientName === EModelEndpoint.agents ||
isParamEndpoint(this.options.endpoint, this.options.endpointType))
isParamEndpoint(this.options.endpoint, this.options.endpointType)
) {
responseMessage.text = '';
responseMessage.content = completion;
@@ -702,13 +699,7 @@ class BaseClient {
if (usage != null && Number(usage[this.outputTokensKey]) > 0) {
responseMessage.tokenCount = usage[this.outputTokensKey];
completionTokens = responseMessage.tokenCount;
await this.updateUserMessageTokenCount({
usage,
tokenCountMap,
userMessage,
userMessagePromise,
opts,
});
await this.updateUserMessageTokenCount({ usage, tokenCountMap, userMessage, opts });
} else {
responseMessage.tokenCount = this.getTokenCountForResponse(responseMessage);
completionTokens = responseMessage.tokenCount;
@@ -717,8 +708,8 @@ class BaseClient {
await this.recordTokenUsage({ promptTokens, completionTokens, usage });
}
if (userMessagePromise) {
await userMessagePromise;
if (this.userMessagePromise) {
await this.userMessagePromise;
}
if (this.artifactPromises) {
@@ -733,11 +724,7 @@ class BaseClient {
}
}
responseMessage.databasePromise = this.saveMessageToDatabase(
responseMessage,
saveOptions,
user,
);
this.responsePromise = this.saveMessageToDatabase(responseMessage, saveOptions, user);
this.savedMessageIds.add(responseMessage.messageId);
delete responseMessage.tokenCount;
return responseMessage;
@@ -758,16 +745,9 @@ class BaseClient {
* @param {StreamUsage} params.usage
* @param {Record<string, number>} params.tokenCountMap
* @param {TMessage} params.userMessage
* @param {Promise<TMessage>} params.userMessagePromise
* @param {object} params.opts
*/
async updateUserMessageTokenCount({
usage,
tokenCountMap,
userMessage,
userMessagePromise,
opts,
}) {
async updateUserMessageTokenCount({ usage, tokenCountMap, userMessage, opts }) {
/** @type {boolean} */
const shouldUpdateCount =
this.calculateCurrentTokenCount != null &&
@@ -803,7 +783,7 @@ class BaseClient {
Note: we update the user message to be sure it gets the calculated token count;
though `AskController` saves the user message, EditController does not
*/
await userMessagePromise;
await this.userMessagePromise;
await this.updateMessageInDatabase({
messageId: userMessage.messageId,
tokenCount: userMessageTokenCount,
@@ -869,7 +849,7 @@ class BaseClient {
}
const savedMessage = await saveMessage(
this.options?.req,
this.options.req,
{
...message,
endpoint: this.options.endpoint,
@@ -883,40 +863,16 @@ class BaseClient {
return { message: savedMessage };
}
const fieldsToKeep = {
conversationId: message.conversationId,
endpoint: this.options.endpoint,
endpointType: this.options.endpointType,
...endpointOptions,
};
const existingConvo =
this.fetchedConvo === true
? null
: await getConvo(this.options?.req?.user?.id, message.conversationId);
const unsetFields = {};
const exceptions = new Set(['spec', 'iconURL']);
if (existingConvo != null) {
this.fetchedConvo = true;
for (const key in existingConvo) {
if (!key) {
continue;
}
if (excludedKeys.has(key) && !exceptions.has(key)) {
continue;
}
if (endpointOptions?.[key] === undefined) {
unsetFields[key] = 1;
}
}
}
const conversation = await saveConvo(this.options?.req, fieldsToKeep, {
context: 'api/app/clients/BaseClient.js - saveMessageToDatabase #saveConvo',
unsetFields,
});
const conversation = await saveConvo(
this.options.req,
{
conversationId: message.conversationId,
endpoint: this.options.endpoint,
endpointType: this.options.endpointType,
...endpointOptions,
},
{ context: 'api/app/clients/BaseClient.js - saveMessageToDatabase #saveConvo' },
);
return { message: savedMessage, conversation };
}
@@ -1037,17 +993,11 @@ class BaseClient {
const processValue = (value) => {
if (Array.isArray(value)) {
for (let item of value) {
if (
!item ||
!item.type ||
item.type === ContentTypes.THINK ||
item.type === ContentTypes.ERROR ||
item.type === ContentTypes.IMAGE_URL
) {
if (!item || !item.type || item.type === 'image_url') {
continue;
}
if (item.type === ContentTypes.TOOL_CALL && item.tool_call != null) {
if (item.type === 'tool_call' && item.tool_call != null) {
const toolName = item.tool_call?.name || '';
if (toolName != null && toolName && typeof toolName === 'string') {
numTokens += this.getTokenCount(toolName);
@@ -1143,13 +1093,9 @@ class BaseClient {
return message;
}
const files = await getFiles(
{
file_id: { $in: fileIds },
},
{},
{},
);
const files = await getFiles({
file_id: { $in: fileIds },
});
await this.addImageURLs(message, files, this.visionMode);

View File

@@ -1,4 +1,4 @@
const { Keyv } = require('keyv');
const Keyv = require('keyv');
const crypto = require('crypto');
const { CohereClient } = require('cohere-ai');
const { fetchEventSource } = require('@waylaidwanderer/fetch-event-source');
@@ -244,9 +244,9 @@ class ChatGPTClient extends BaseClient {
baseURL = this.langchainProxy
? constructAzureURL({
baseURL: this.langchainProxy,
azureOptions: this.azure,
})
baseURL: this.langchainProxy,
azureOptions: this.azure,
})
: this.azureEndpoint.split(/(?<!\/)\/(chat|completion)\//)[0];
if (this.options.forcePrompt) {
@@ -339,6 +339,7 @@ class ChatGPTClient extends BaseClient {
opts.body = JSON.stringify(modelOptions);
if (modelOptions.stream) {
// eslint-disable-next-line no-async-promise-executor
return new Promise(async (resolve, reject) => {
try {
let done = false;

View File

@@ -9,7 +9,6 @@ const {
validateVisionModel,
getResponseSender,
endpointSettings,
parseTextParts,
EModelEndpoint,
ContentTypes,
VisionModes,
@@ -52,7 +51,7 @@ class GoogleClient extends BaseClient {
const serviceKey = creds[AuthKeys.GOOGLE_SERVICE_KEY] ?? {};
this.serviceKey =
serviceKey && typeof serviceKey === 'string' ? JSON.parse(serviceKey) : (serviceKey ?? {});
serviceKey && typeof serviceKey === 'string' ? JSON.parse(serviceKey) : serviceKey ?? {};
/** @type {string | null | undefined} */
this.project_id = this.serviceKey.project_id;
this.client_email = this.serviceKey.client_email;
@@ -74,8 +73,6 @@ class GoogleClient extends BaseClient {
* @type {string} */
this.outputTokensKey = 'output_tokens';
this.visionMode = VisionModes.generative;
/** @type {string} */
this.systemMessage;
if (options.skipSetOptions) {
return;
}
@@ -140,7 +137,8 @@ class GoogleClient extends BaseClient {
this.options.attachments?.then((attachments) => this.checkVisionRequest(attachments));
/** @type {boolean} Whether using a "GenerativeAI" Model */
this.isGenerativeModel = /gemini|learnlm|gemma/.test(this.modelOptions.model);
this.isGenerativeModel =
this.modelOptions.model.includes('gemini') || this.modelOptions.model.includes('learnlm');
this.maxContextTokens =
this.options.maxContextTokens ??
@@ -186,7 +184,7 @@ class GoogleClient extends BaseClient {
if (typeof this.options.artifactsPrompt === 'string' && this.options.artifactsPrompt) {
promptPrefix = `${promptPrefix ?? ''}\n${this.options.artifactsPrompt}`.trim();
}
this.systemMessage = promptPrefix;
this.options.promptPrefix = promptPrefix;
this.initializeClient();
return this;
}
@@ -198,11 +196,7 @@ class GoogleClient extends BaseClient {
*/
checkVisionRequest(attachments) {
/* Validation vision request */
this.defaultVisionModel =
this.options.visionModel ??
(!EXCLUDED_GENAI_MODELS.test(this.modelOptions.model)
? this.modelOptions.model
: 'gemini-pro-vision');
this.defaultVisionModel = this.options.visionModel ?? 'gemini-pro-vision';
const availableModels = this.options.modelsConfig?.[EModelEndpoint.google];
this.isVisionModel = validateVisionModel({ model: this.modelOptions.model, availableModels });
@@ -236,11 +230,11 @@ class GoogleClient extends BaseClient {
msg.content = (
!Array.isArray(msg.content)
? [
{
type: ContentTypes.TEXT,
[ContentTypes.TEXT]: msg.content,
},
]
{
type: ContentTypes.TEXT,
[ContentTypes.TEXT]: msg.content,
},
]
: msg.content
).concat(message.image_urls);
@@ -317,13 +311,10 @@ class GoogleClient extends BaseClient {
this.contextHandlers?.processFile(file);
continue;
}
if (file.metadata?.fileIdentifier) {
continue;
}
}
this.augmentedPrompt = await this.contextHandlers.createContext();
this.systemMessage = this.augmentedPrompt + this.systemMessage;
this.options.promptPrefix = this.augmentedPrompt + this.options.promptPrefix;
}
}
@@ -370,8 +361,8 @@ class GoogleClient extends BaseClient {
throw new Error('[GoogleClient] PaLM 2 and Codey models are no longer supported.');
}
if (this.systemMessage) {
const instructionsTokenCount = this.getTokenCount(this.systemMessage);
if (this.options.promptPrefix) {
const instructionsTokenCount = this.getTokenCount(this.options.promptPrefix);
this.maxContextTokens = this.maxContextTokens - instructionsTokenCount;
if (this.maxContextTokens < 0) {
@@ -426,8 +417,8 @@ class GoogleClient extends BaseClient {
],
};
if (this.systemMessage) {
payload.instances[0].context = this.systemMessage;
if (this.options.promptPrefix) {
payload.instances[0].context = this.options.promptPrefix;
}
logger.debug('[GoogleClient] buildMessages', payload);
@@ -473,7 +464,7 @@ class GoogleClient extends BaseClient {
identityPrefix = `${identityPrefix}\nYou are ${this.options.modelLabel}`;
}
let promptPrefix = (this.systemMessage ?? '').trim();
let promptPrefix = (this.options.promptPrefix ?? '').trim();
if (identityPrefix) {
promptPrefix = `${identityPrefix}${promptPrefix}`;
@@ -648,7 +639,7 @@ class GoogleClient extends BaseClient {
let error;
try {
if (!EXCLUDED_GENAI_MODELS.test(modelName) && !this.project_id) {
/** @type {GenerativeModel} */
/** @type {GenAI} */
const client = this.client;
/** @type {GenerateContentRequest} */
const requestOptions = {
@@ -657,7 +648,7 @@ class GoogleClient extends BaseClient {
generationConfig: googleGenConfigSchema.parse(this.modelOptions),
};
const promptPrefix = (this.systemMessage ?? '').trim();
const promptPrefix = (this.options.promptPrefix ?? '').trim();
if (promptPrefix.length) {
requestOptions.systemInstruction = {
parts: [
@@ -672,17 +663,7 @@ class GoogleClient extends BaseClient {
/** @type {GenAIUsageMetadata} */
let usageMetadata;
abortController.signal.addEventListener(
'abort',
() => {
logger.warn('[GoogleClient] Request was aborted', abortController.signal.reason);
},
{ once: true },
);
const result = await client.generateContentStream(requestOptions, {
signal: abortController.signal,
});
const result = await client.generateContentStream(requestOptions);
for await (const chunk of result.stream) {
usageMetadata = !usageMetadata
? chunk?.usageMetadata
@@ -777,22 +758,6 @@ class GoogleClient extends BaseClient {
return this.usage;
}
getMessageMapMethod() {
/**
* @param {TMessage} msg
*/
return (msg) => {
if (msg.text != null && msg.text && msg.text.startsWith(':::thinking')) {
msg.text = msg.text.replace(/:::thinking.*?:::/gs, '').trim();
} else if (msg.content != null) {
msg.text = parseTextParts(msg.content, true);
delete msg.content;
}
return msg;
};
}
/**
* Calculates the correct token count for the current user message based on the token count map and API usage.
* Edge case: If the calculation results in a negative value, it returns the original estimate.
@@ -850,8 +815,7 @@ class GoogleClient extends BaseClient {
let reply = '';
const { abortController } = options;
const model =
this.options.titleModel ?? this.modelOptions.modelName ?? this.modelOptions.model ?? '';
const model = this.modelOptions.modelName ?? this.modelOptions.model ?? '';
const safetySettings = getSafetySettings(model);
if (!EXCLUDED_GENAI_MODELS.test(model) && !this.project_id) {
logger.debug('Identified titling model as GenAI version');

View File

@@ -2,7 +2,7 @@ const { z } = require('zod');
const axios = require('axios');
const { Ollama } = require('ollama');
const { Constants } = require('librechat-data-provider');
const { deriveBaseURL, logAxiosError } = require('~/utils');
const { deriveBaseURL } = require('~/utils');
const { sleep } = require('~/server/utils');
const { logger } = require('~/config');
@@ -67,8 +67,8 @@ class OllamaClient {
return models;
} catch (error) {
const logMessage =
"Failed to fetch models from Ollama API. If you are not using Ollama directly, and instead, through some aggregator or reverse proxy that handles fetching via OpenAI spec, ensure the name of the endpoint doesn't start with `ollama` (case-insensitive).";
logAxiosError({ message: logMessage, error });
'Failed to fetch models from Ollama API. If you are not using Ollama directly, and instead, through some aggregator or reverse proxy that handles fetching via OpenAI spec, ensure the name of the endpoint doesn\'t start with `ollama` (case-insensitive).';
logger.error(logMessage, error);
return [];
}
}

View File

@@ -1,14 +1,12 @@
const OpenAI = require('openai');
const { OllamaClient } = require('./OllamaClient');
const { HttpsProxyAgent } = require('https-proxy-agent');
const { SplitStreamHandler, CustomOpenAIClient: OpenAI } = require('@librechat/agents');
const { SplitStreamHandler, GraphEvents } = require('@librechat/agents');
const {
Constants,
ImageDetail,
ContentTypes,
parseTextParts,
EModelEndpoint,
resolveHeaders,
KnownEndpoints,
openAISettings,
ImageDetailCost,
CohereConstants,
@@ -31,18 +29,17 @@ const {
createContextHandlers,
} = require('./prompts');
const { encodeAndFormat } = require('~/server/services/Files/images/encode');
const { createFetch, createStreamEventHandlers } = require('./generators');
const { addSpaceIfNeeded, isEnabled, sleep } = require('~/server/utils');
const Tokenizer = require('~/server/services/Tokenizer');
const { spendTokens } = require('~/models/spendTokens');
const { handleOpenAIErrors } = require('./tools/util');
const { createLLM, RunManager } = require('./llm');
const { logger, sendEvent } = require('~/config');
const ChatGPTClient = require('./ChatGPTClient');
const { summaryBuffer } = require('./memory');
const { runTitleChain } = require('./chains');
const { tokenSplit } = require('./document');
const BaseClient = require('./BaseClient');
const { logger } = require('~/config');
class OpenAIClient extends BaseClient {
constructor(apiKey, options = {}) {
@@ -108,17 +105,21 @@ class OpenAIClient extends BaseClient {
this.checkVisionRequest(this.options.attachments);
}
const omniPattern = /\b(o\d)\b/i;
const omniPattern = /\b(o1|o3)\b/i;
this.isOmni = omniPattern.test(this.modelOptions.model);
const { OPENAI_FORCE_PROMPT } = process.env ?? {};
const { OPENROUTER_API_KEY, OPENAI_FORCE_PROMPT } = process.env ?? {};
if (OPENROUTER_API_KEY && !this.azure) {
this.apiKey = OPENROUTER_API_KEY;
this.useOpenRouter = true;
}
const { reverseProxyUrl: reverseProxy } = this.options;
if (
!this.useOpenRouter &&
((reverseProxy && reverseProxy.includes(KnownEndpoints.openrouter)) ||
(this.options.endpoint &&
this.options.endpoint.toLowerCase().includes(KnownEndpoints.openrouter)))
reverseProxy &&
reverseProxy.includes('https://openrouter.ai/api/v1')
) {
this.useOpenRouter = true;
}
@@ -227,6 +228,10 @@ class OpenAIClient extends BaseClient {
logger.debug('Using Azure endpoint');
}
if (this.useOpenRouter) {
this.completionsUrl = 'https://openrouter.ai/api/v1/chat/completions';
}
return this;
}
@@ -301,9 +306,7 @@ class OpenAIClient extends BaseClient {
}
getEncoding() {
return this.modelOptions?.model && /gpt-4[^-\s]/.test(this.modelOptions.model)
? 'o200k_base'
: 'cl100k_base';
return this.model?.includes('gpt-4o') ? 'o200k_base' : 'cl100k_base';
}
/**
@@ -455,9 +458,6 @@ class OpenAIClient extends BaseClient {
this.contextHandlers?.processFile(file);
continue;
}
if (file.metadata?.fileIdentifier) {
continue;
}
orderedMessages[i].tokenCount += this.calculateImageTokenCost({
width: file.width,
@@ -475,9 +475,7 @@ class OpenAIClient extends BaseClient {
promptPrefix = this.augmentedPrompt + promptPrefix;
}
const noSystemModelRegex = /\b(o1-preview|o1-mini)\b/i.test(this.modelOptions.model);
if (promptPrefix && !noSystemModelRegex) {
if (promptPrefix && this.isOmni !== true) {
promptPrefix = `Instructions:\n${promptPrefix.trim()}`;
instructions = {
role: 'system',
@@ -505,27 +503,12 @@ class OpenAIClient extends BaseClient {
};
/** EXPERIMENTAL */
if (promptPrefix && noSystemModelRegex) {
if (promptPrefix && this.isOmni === true) {
const lastUserMessageIndex = payload.findLastIndex((message) => message.role === 'user');
if (lastUserMessageIndex !== -1) {
if (Array.isArray(payload[lastUserMessageIndex].content)) {
const firstTextPartIndex = payload[lastUserMessageIndex].content.findIndex(
(part) => part.type === ContentTypes.TEXT,
);
if (firstTextPartIndex !== -1) {
const firstTextPart = payload[lastUserMessageIndex].content[firstTextPartIndex];
payload[lastUserMessageIndex].content[firstTextPartIndex].text =
`${promptPrefix}\n${firstTextPart.text}`;
} else {
payload[lastUserMessageIndex].content.unshift({
type: ContentTypes.TEXT,
text: promptPrefix,
});
}
} else {
payload[lastUserMessageIndex].content =
`${promptPrefix}\n${payload[lastUserMessageIndex].content}`;
}
payload[
lastUserMessageIndex
].content = `${promptPrefix}\n${payload[lastUserMessageIndex].content}`;
}
}
@@ -614,7 +597,7 @@ class OpenAIClient extends BaseClient {
return result.trim();
}
logger.debug('[OpenAIClient] sendCompletion: result', { ...result });
logger.debug('[OpenAIClient] sendCompletion: result', result);
if (this.isChatCompletion) {
reply = result.choices[0].message.content;
@@ -631,7 +614,7 @@ class OpenAIClient extends BaseClient {
}
initializeLLM({
model = openAISettings.model.default,
model = 'gpt-4o-mini',
modelName,
temperature = 0.2,
max_tokens,
@@ -732,7 +715,7 @@ class OpenAIClient extends BaseClient {
const { OPENAI_TITLE_MODEL } = process.env ?? {};
let model = this.options.titleModel ?? OPENAI_TITLE_MODEL ?? openAISettings.model.default;
let model = this.options.titleModel ?? OPENAI_TITLE_MODEL ?? 'gpt-4o-mini';
if (model === Constants.CURRENT_MODEL) {
model = this.modelOptions.model;
}
@@ -823,7 +806,7 @@ ${convo}
const completionTokens = this.getTokenCount(title);
await this.recordTokenUsage({ promptTokens, completionTokens, context: 'title' });
this.recordTokenUsage({ promptTokens, completionTokens, context: 'title' });
} catch (e) {
logger.error(
'[OpenAIClient] There was an issue generating the title with the completion method',
@@ -925,7 +908,7 @@ ${convo}
let prompt;
// TODO: remove the gpt fallback and make it specific to endpoint
const { OPENAI_SUMMARY_MODEL = openAISettings.model.default } = process.env ?? {};
const { OPENAI_SUMMARY_MODEL = 'gpt-4o-mini' } = process.env ?? {};
let model = this.options.summaryModel ?? OPENAI_SUMMARY_MODEL;
if (model === Constants.CURRENT_MODEL) {
model = this.modelOptions.model;
@@ -1084,36 +1067,14 @@ ${convo}
});
}
/**
*
* @param {string[]} [intermediateReply]
* @returns {string}
*/
getStreamText(intermediateReply) {
getStreamText() {
if (!this.streamHandler) {
return intermediateReply?.join('') ?? '';
}
let thinkMatch;
let remainingText;
let reasoningText = '';
if (this.streamHandler.reasoningTokens.length > 0) {
reasoningText = this.streamHandler.reasoningTokens.join('');
thinkMatch = reasoningText.match(/<think>([\s\S]*?)<\/think>/)?.[1]?.trim();
if (thinkMatch != null && thinkMatch) {
const reasoningTokens = `:::thinking\n${thinkMatch}\n:::\n`;
remainingText = reasoningText.split(/<\/think>/)?.[1]?.trim() || '';
return `${reasoningTokens}${remainingText}${this.streamHandler.tokens.join('')}`;
} else if (thinkMatch === '') {
remainingText = reasoningText.split(/<\/think>/)?.[1]?.trim() || '';
return `${remainingText}${this.streamHandler.tokens.join('')}`;
}
return '';
}
const reasoningTokens =
reasoningText.length > 0
? `:::thinking\n${reasoningText.replace('<think>', '').replace('</think>', '').trim()}\n:::\n`
this.streamHandler.reasoningTokens.length > 0
? `:::thinking\n${this.streamHandler.reasoningTokens.join('')}\n:::\n`
: '';
return `${reasoningTokens}${this.streamHandler.tokens.join('')}`;
@@ -1126,9 +1087,6 @@ ${convo}
return (msg) => {
if (msg.text != null && msg.text && msg.text.startsWith(':::thinking')) {
msg.text = msg.text.replace(/:::thinking.*?:::/gs, '').trim();
} else if (msg.content != null) {
msg.text = parseTextParts(msg.content, true);
delete msg.content;
}
return msg;
@@ -1180,6 +1138,10 @@ ${convo}
opts.httpAgent = new HttpsProxyAgent(this.options.proxy);
}
if (this.isVisionModel) {
modelOptions.max_tokens = 4000;
}
/** @type {TAzureConfig | undefined} */
const azureConfig = this.options?.req?.app?.locals?.[EModelEndpoint.azureOpenAI];
@@ -1229,9 +1191,9 @@ ${convo}
opts.baseURL = this.langchainProxy
? constructAzureURL({
baseURL: this.langchainProxy,
azureOptions: this.azure,
})
baseURL: this.langchainProxy,
azureOptions: this.azure,
})
: this.azureEndpoint.split(/(?<!\/)\/(chat|completion)\//)[0];
opts.defaultQuery = { 'api-version': this.azure.azureOpenAIApiVersion };
@@ -1242,9 +1204,6 @@ ${convo}
modelOptions.max_completion_tokens = modelOptions.max_tokens;
delete modelOptions.max_tokens;
}
if (this.isOmni === true && modelOptions.temperature != null) {
delete modelOptions.temperature;
}
if (process.env.OPENAI_ORGANIZATION) {
opts.organization = process.env.OPENAI_ORGANIZATION;
@@ -1253,10 +1212,7 @@ ${convo}
let chatCompletion;
/** @type {OpenAI} */
const openai = new OpenAI({
fetch: createFetch({
directEndpoint: this.options.directEndpoint,
reverseProxyUrl: this.options.reverseProxyUrl,
}),
fetch: this.fetch,
apiKey: this.apiKey,
...opts,
});
@@ -1285,56 +1241,23 @@ ${convo}
modelOptions.messages[0].role = 'user';
}
if (
(this.options.endpoint === EModelEndpoint.openAI ||
this.options.endpoint === EModelEndpoint.azureOpenAI) &&
modelOptions.stream === true
) {
modelOptions.stream_options = { include_usage: true };
}
if (this.options.addParams && typeof this.options.addParams === 'object') {
const addParams = { ...this.options.addParams };
modelOptions = {
...modelOptions,
...addParams,
...this.options.addParams,
};
logger.debug('[OpenAIClient] chatCompletion: added params', {
addParams: addParams,
addParams: this.options.addParams,
modelOptions,
});
}
/** Note: OpenAI Web Search models do not support any known parameters besdies `max_tokens` */
if (modelOptions.model && /gpt-4o.*search/.test(modelOptions.model)) {
const searchExcludeParams = [
'frequency_penalty',
'presence_penalty',
'temperature',
'top_p',
'top_k',
'stop',
'logit_bias',
'seed',
'response_format',
'n',
'logprobs',
'user',
];
this.options.dropParams = this.options.dropParams || [];
this.options.dropParams = [
...new Set([...this.options.dropParams, ...searchExcludeParams]),
];
}
if (this.options.dropParams && Array.isArray(this.options.dropParams)) {
const dropParams = [...this.options.dropParams];
dropParams.forEach((param) => {
this.options.dropParams.forEach((param) => {
delete modelOptions[param];
});
logger.debug('[OpenAIClient] chatCompletion: dropped params', {
dropParams: dropParams,
dropParams: this.options.dropParams,
modelOptions,
});
}
@@ -1357,11 +1280,15 @@ ${convo}
let streamResolve;
if (
(!this.isOmni || /^o1-(mini|preview)/i.test(modelOptions.model)) &&
modelOptions.reasoning_effort != null
this.isOmni === true &&
(this.azure || /o1(?!-(?:mini|preview)).*$/.test(modelOptions.model)) &&
!/o3-.*$/.test(this.modelOptions.model) &&
modelOptions.stream
) {
delete modelOptions.stream;
delete modelOptions.stop;
} else if (!this.isOmni && modelOptions.reasoning_effort != null) {
delete modelOptions.reasoning_effort;
delete modelOptions.temperature;
}
let reasoningKey = 'reasoning_content';
@@ -1369,19 +1296,16 @@ ${convo}
modelOptions.include_reasoning = true;
reasoningKey = 'reasoning';
}
if (this.useOpenRouter && modelOptions.reasoning_effort != null) {
modelOptions.reasoning = {
effort: modelOptions.reasoning_effort,
};
delete modelOptions.reasoning_effort;
}
const handlers = createStreamEventHandlers(this.options.res);
this.streamHandler = new SplitStreamHandler({
reasoningKey,
accumulate: true,
runId: this.responseMessageId,
handlers,
handlers: {
[GraphEvents.ON_RUN_STEP]: (event) => sendEvent(this.options.res, event),
[GraphEvents.ON_MESSAGE_DELTA]: (event) => sendEvent(this.options.res, event),
[GraphEvents.ON_REASONING_DELTA]: (event) => sendEvent(this.options.res, event),
},
});
intermediateReply = this.streamHandler.tokens;
@@ -1390,13 +1314,11 @@ ${convo}
streamPromise = new Promise((resolve) => {
streamResolve = resolve;
});
/** @type {OpenAI.OpenAI.CompletionCreateParamsStreaming} */
const params = {
...modelOptions,
stream: true,
};
const stream = await openai.beta.chat.completions
.stream(params)
.stream({
...modelOptions,
stream: true,
})
.on('abort', () => {
/* Do nothing here */
})
@@ -1479,11 +1401,6 @@ ${convo}
});
}
if (openai.abortHandler && abortController.signal) {
abortController.signal.removeEventListener('abort', openai.abortHandler);
openai.abortHandler = undefined;
}
if (!chatCompletion && UnexpectedRoleError) {
throw new Error(
'OpenAI error: Invalid final message: OpenAI expects final message to include role=assistant',
@@ -1532,7 +1449,7 @@ ${convo}
this.options.context !== 'title' &&
message.content.startsWith('<think>')
) {
return this.getStreamText();
return message.content.replace('<think>', ':::thinking').replace('</think>', ':::');
}
return message.content;
@@ -1541,7 +1458,7 @@ ${convo}
err?.message?.includes('abort') ||
(err instanceof OpenAI.APIError && err?.message?.includes('abort'))
) {
return this.getStreamText(intermediateReply);
return intermediateReply.join('');
}
if (
err?.message?.includes(
@@ -1556,18 +1473,14 @@ ${convo}
(err instanceof OpenAI.OpenAIError && err?.message?.includes('missing finish_reason'))
) {
logger.error('[OpenAIClient] Known OpenAI error:', err);
if (this.streamHandler && this.streamHandler.reasoningTokens.length) {
return this.getStreamText();
} else if (intermediateReply.length > 0) {
return this.getStreamText(intermediateReply);
if (intermediateReply.length > 0) {
return intermediateReply.join('');
} else {
throw err;
}
} else if (err instanceof OpenAI.APIError) {
if (this.streamHandler && this.streamHandler.reasoningTokens.length) {
return this.getStreamText();
} else if (intermediateReply.length > 0) {
return this.getStreamText(intermediateReply);
if (intermediateReply.length > 0) {
return intermediateReply.join('');
} else {
throw err;
}

View File

@@ -5,8 +5,9 @@ const { addImages, buildErrorInput, buildPromptPrefix } = require('./output_pars
const { initializeCustomAgent, initializeFunctionsAgent } = require('./agents');
const { processFileURL } = require('~/server/services/Files/process');
const { EModelEndpoint } = require('librechat-data-provider');
const { checkBalance } = require('~/models/balanceMethods');
const { formatLangChainMessages } = require('./prompts');
const checkBalance = require('~/models/checkBalance');
const { isEnabled } = require('~/server/utils');
const { extractBaseURL } = require('~/utils');
const { loadTools } = require('./tools/util');
const { logger } = require('~/config');
@@ -252,14 +253,12 @@ class PluginsClient extends OpenAIClient {
await this.recordTokenUsage(responseMessage);
}
const databasePromise = this.saveMessageToDatabase(responseMessage, saveOptions, user);
this.responsePromise = this.saveMessageToDatabase(responseMessage, saveOptions, user);
delete responseMessage.tokenCount;
return { ...responseMessage, ...result, databasePromise };
return { ...responseMessage, ...result };
}
async sendMessage(message, opts = {}) {
/** @type {Promise<TMessage>} */
let userMessagePromise;
/** @type {{ filteredTools: string[], includedTools: string[] }} */
const { filteredTools = [], includedTools = [] } = this.options.req.app.locals;
@@ -329,16 +328,15 @@ class PluginsClient extends OpenAIClient {
}
if (!this.skipSaveUserMessage) {
userMessagePromise = this.saveMessageToDatabase(userMessage, saveOptions, user);
this.userMessagePromise = this.saveMessageToDatabase(userMessage, saveOptions, user);
if (typeof opts?.getReqData === 'function') {
opts.getReqData({
userMessagePromise,
userMessagePromise: this.userMessagePromise,
});
}
}
const balance = this.options.req?.app?.locals?.balance;
if (balance?.enabled) {
if (isEnabled(process.env.CHECK_BALANCE)) {
await checkBalance({
req: this.options.req,
res: this.options.res,

View File

@@ -1,8 +1,8 @@
const { promptTokensEstimate } = require('openai-chat-tokens');
const { EModelEndpoint, supportsBalanceCheck } = require('librechat-data-provider');
const { formatFromLangChain } = require('~/app/clients/prompts');
const { getBalanceConfig } = require('~/server/services/Config');
const { checkBalance } = require('~/models/balanceMethods');
const checkBalance = require('~/models/checkBalance');
const { isEnabled } = require('~/server/utils');
const { logger } = require('~/config');
const createStartHandler = ({
@@ -49,8 +49,8 @@ const createStartHandler = ({
prelimPromptTokens += tokenBuffer;
try {
const balance = await getBalanceConfig();
if (balance?.enabled && supportsBalanceCheck[EModelEndpoint.openAI]) {
// TODO: if plugins extends to non-OpenAI models, this will need to be updated
if (isEnabled(process.env.CHECK_BALANCE) && supportsBalanceCheck[EModelEndpoint.openAI]) {
const generations =
initialMessageCount && messages.length > initialMessageCount
? messages.slice(initialMessageCount)

View File

@@ -1,71 +0,0 @@
const fetch = require('node-fetch');
const { GraphEvents } = require('@librechat/agents');
const { logger, sendEvent } = require('~/config');
const { sleep } = require('~/server/utils');
/**
* Makes a function to make HTTP request and logs the process.
* @param {Object} params
* @param {boolean} [params.directEndpoint] - Whether to use a direct endpoint.
* @param {string} [params.reverseProxyUrl] - The reverse proxy URL to use for the request.
* @returns {Promise<Response>} - A promise that resolves to the response of the fetch request.
*/
function createFetch({ directEndpoint = false, reverseProxyUrl = '' }) {
/**
* Makes an HTTP request and logs the process.
* @param {RequestInfo} url - The URL to make the request to. Can be a string or a Request object.
* @param {RequestInit} [init] - Optional init options for the request.
* @returns {Promise<Response>} - A promise that resolves to the response of the fetch request.
*/
return async (_url, init) => {
let url = _url;
if (directEndpoint) {
url = reverseProxyUrl;
}
logger.debug(`Making request to ${url}`);
if (typeof Bun !== 'undefined') {
return await fetch(url, init);
}
return await fetch(url, init);
};
}
// Add this at the module level outside the class
/**
* Creates event handlers for stream events that don't capture client references
* @param {Object} res - The response object to send events to
* @returns {Object} Object containing handler functions
*/
function createStreamEventHandlers(res) {
return {
[GraphEvents.ON_RUN_STEP]: (event) => {
if (res) {
sendEvent(res, event);
}
},
[GraphEvents.ON_MESSAGE_DELTA]: (event) => {
if (res) {
sendEvent(res, event);
}
},
[GraphEvents.ON_REASONING_DELTA]: (event) => {
if (res) {
sendEvent(res, event);
}
},
};
}
function createHandleLLMNewToken(streamRate) {
return async () => {
if (streamRate) {
await sleep(streamRate);
}
};
}
module.exports = {
createFetch,
createHandleLLMNewToken,
createStreamEventHandlers,
};

View File

@@ -34,7 +34,6 @@ function createLLM({
let credentials = { openAIApiKey };
let configuration = {
apiKey: openAIApiKey,
...(configOptions.basePath && { baseURL: configOptions.basePath }),
};
/** @type {AzureOptions} */

View File

@@ -22,17 +22,17 @@
'\n' +
'Celestia had the power to grant one wish to anyone who dared to find her abode. Ethan, captivated by the tales he had read and yearning for something greater, approached the cottage with trepidation. When he shared his desire to embark on a grand adventure, Celestia smiled warmly and agreed to grant his wish.\n' +
'\n' +
"With a wave of her wand and a sprinkle of stardust, Celestia bestowed upon Ethan a magical necklace. This necklace, adorned with a rare gemstone called the Eye of Imagination, had the power to turn dreams and imagination into reality. From that moment forward, Ethan's every thought and idea became manifest.\n" +
'With a wave of her wand and a sprinkle of stardust, Celestia bestowed upon Ethan a magical necklace. This necklace, adorned with a rare gemstone called the Eye of Imagination, had the power to turn dreams and imagination into reality. From that moment forward, Ethan\'s every thought and idea became manifest.\n' +
'\n' +
'Energized by this newfound power, Ethan continued his journey, encountering mythical creatures, solving riddles, and overcoming treacherous obstacles along the way. With the Eye of Imagination, he brought life to ancient statues, unlocked hidden doors, and even tamed fiery dragons.\n' +
'\n' +
'As days turned into weeks and weeks into months, Ethan became wiser and more in tune with the world around him. He learned that true adventure was not merely about seeking thrills and conquering the unknown, but also about fostering compassion, friendship, and a deep appreciation for the beauty of the ordinary.\n' +
'\n' +
"Eventually, Ethan's journey led him back to his village. With the Eye of Imagination, he transformed the village into a place of wonders and endless possibilities. Fields blossomed into vibrant gardens, simple tools turned into intricate works of art, and the villagers felt a renewed sense of hope and inspiration.\n" +
'Eventually, Ethan\'s journey led him back to his village. With the Eye of Imagination, he transformed the village into a place of wonders and endless possibilities. Fields blossomed into vibrant gardens, simple tools turned into intricate works of art, and the villagers felt a renewed sense of hope and inspiration.\n' +
'\n' +
"Ethan, now known as the Village Magician, realized that the true magic lied within everyone's hearts. He taught the villagers to embrace their creativity, to dream big, and to never underestimate the power of imagination. And so, the village flourished, becoming a beacon of wonder and creativity for all to see.\n" +
'Ethan, now known as the Village Magician, realized that the true magic lied within everyone\'s hearts. He taught the villagers to embrace their creativity, to dream big, and to never underestimate the power of imagination. And so, the village flourished, becoming a beacon of wonder and creativity for all to see.\n' +
'\n' +
"In the years that followed, Ethan's adventures continued, though mostly within the confines of his beloved village. But he never forgot the thrill of that first grand adventure. And every now and then, when looking up at the starry night sky, he would allow his mind to wander, knowing that the greatest adventures were still waiting to be discovered.",
'In the years that followed, Ethan\'s adventures continued, though mostly within the confines of his beloved village. But he never forgot the thrill of that first grand adventure. And every now and then, when looking up at the starry night sky, he would allow his mind to wander, knowing that the greatest adventures were still waiting to be discovered.',
},
{
role: 'user',
@@ -41,30 +41,30 @@
'\n' +
'Once there was a young lad by the name of Ethan, raised in a little hamlet nestled betwixt the verdant knolls, who possessed an irrepressible yearning for knowledge, a thirst unquenchable and a spirit teeming with curiosity. As the golden sun bathed the bucolic land in its effulgent light, he would tread through the village, his ears attuned to the tales spun by the townsfolk, his eyes absorbing the tapestry woven by the world surrounding him.\n' +
'\n' +
"One radiant day, whilst exploring the periphery of the settlement, Ethan chanced upon a timeworn tome, ensconced amidst the roots of an ancient oak, cloaked in the shroud of neglect. The dust gathered upon it spoke of time's relentless march. A book of fairy tales garnished with vivid descriptions of mystical woods, fantastical beasts, and ventures daring beyond the ordinary humdrum existence. Intrigued and beguiled, Ethan pried open the weathered pages and succumbed to their beckoning whispers.\n" +
'One radiant day, whilst exploring the periphery of the settlement, Ethan chanced upon a timeworn tome, ensconced amidst the roots of an ancient oak, cloaked in the shroud of neglect. The dust gathered upon it spoke of time\'s relentless march. A book of fairy tales garnished with vivid descriptions of mystical woods, fantastical beasts, and ventures daring beyond the ordinary humdrum existence. Intrigued and beguiled, Ethan pried open the weathered pages and succumbed to their beckoning whispers.\n' +
'\n' +
"In each tale, he was transported to a realm of enchantment and wonderment, inexorably tugging at the strings of his yearning for peripatetic exploration. Inspired by the narratives he had devoured, Ethan resolved to bid adieu to kinfolk and embark upon a sojourn, with dreams of procuring a firsthand glimpse into the domain of mystique that lay beyond the village's circumscribed boundary.\n" +
'In each tale, he was transported to a realm of enchantment and wonderment, inexorably tugging at the strings of his yearning for peripatetic exploration. Inspired by the narratives he had devoured, Ethan resolved to bid adieu to kinfolk and embark upon a sojourn, with dreams of procuring a firsthand glimpse into the domain of mystique that lay beyond the village\'s circumscribed boundary.\n' +
'\n' +
'Thus, he bade tearful farewells, girding himself for a path that guided him to a dense and captivating woodland, whispered of as a sanctuary to mythical beings and clandestine troves of treasures. As Ethan plunged deeper into the heart of the arboreal labyrinth, he felt a palpable surge of electricity, as though the sylvan sentinels whispered enigmatic secrets that only the perceptive ear could discern.\n' +
'\n' +
"It wasn't long before his path intertwined with that of a capricious sprite christened Sparkle, bearing an impish grin and eyes sparkling with mischief. Sparkle played the role of Virgil to Ethan's Dante, guiding him through the intricate tapestry of arboreal scions, issuing warnings of perils concealed and spinning tales of ancient entities that called this very bosky enclave home.\n" +
'It wasn\'t long before his path intertwined with that of a capricious sprite christened Sparkle, bearing an impish grin and eyes sparkling with mischief. Sparkle played the role of Virgil to Ethan\'s Dante, guiding him through the intricate tapestry of arboreal scions, issuing warnings of perils concealed and spinning tales of ancient entities that called this very bosky enclave home.\n' +
'\n' +
'Together, they stumbled upon a luminous lake, its shimmering waters imbued with a celestial light. At the center lay a diminutive island, upon which reposed a cottage fashioned from tender petals and verdant leaves. It belonged to an ancient sorceress of considerable wisdom, Celestia by name.\n' +
'\n' +
"Celestia, with her power to bestow a single wish on any intrepid soul who happened upon her abode, met Ethan's desire with a congenial nod, his fervor for a grand expedition not lost on her penetrating gaze. In response, she bequeathed unto him a necklace of magical manufacture adorned with the rare gemstone known as the Eye of Imagination whose very essence transformed dreams into vivid reality. From that moment forward, not a single cogitation nor nebulous fanciful notion of Ethan's ever lacked physicality.\n" +
'Celestia, with her power to bestow a single wish on any intrepid soul who happened upon her abode, met Ethan\'s desire with a congenial nod, his fervor for a grand expedition not lost on her penetrating gaze. In response, she bequeathed unto him a necklace of magical manufacture adorned with the rare gemstone known as the Eye of Imagination whose very essence transformed dreams into vivid reality. From that moment forward, not a single cogitation nor nebulous fanciful notion of Ethan\'s ever lacked physicality.\n' +
'\n' +
'Energized by this newfound potency, Ethan continued his sojourn, encountering mythical creatures, unraveling cerebral enigmas, and braving perils aplenty along the winding roads of destiny. Armed with the Eye of Imagination, he brought forth life from immobile statuary, unlocked forbidding portals, and even tamed the ferocious beasts of yore their fiery breath reduced to a whisper.\n' +
'\n' +
"As the weeks metamorphosed into months, Ethan grew wiser and more attuned to the ebb and flow of the world enveloping him. He gleaned that true adventure isn't solely confined to sating a thirst for adrenaline and conquering the unknown; indeed, it resides in fostering compassion, fostering amicable bonds, and cherishing the beauty entwined within the quotidian veld.\n" +
'As the weeks metamorphosed into months, Ethan grew wiser and more attuned to the ebb and flow of the world enveloping him. He gleaned that true adventure isn\'t solely confined to sating a thirst for adrenaline and conquering the unknown; indeed, it resides in fostering compassion, fostering amicable bonds, and cherishing the beauty entwined within the quotidian veld.\n' +
'\n' +
"Eventually, Ethan's quest drew him homeward, back to his village. Buoying the Eye of Imagination's ethereal power, he imbued the hitherto unremarkable settlement with the patina of infinite possibilities. The bounteous fields bloomed into kaleidoscopic gardens, simple instruments transmuting into intricate masterpieces, and the villagers themselves clasped within their hearts a renewed ardor, a conflagration of hope and inspiration.\n" +
'Eventually, Ethan\'s quest drew him homeward, back to his village. Buoying the Eye of Imagination\'s ethereal power, he imbued the hitherto unremarkable settlement with the patina of infinite possibilities. The bounteous fields bloomed into kaleidoscopic gardens, simple instruments transmuting into intricate masterpieces, and the villagers themselves clasped within their hearts a renewed ardor, a conflagration of hope and inspiration.\n' +
'\n' +
"Behold Ethan, at present hailed as the Village Magician a cognomen befitting his sorcery wielded within the confines of the community he adored. His exploits may have become tethered to a geographical locale, but the flame kindled by that premier sojourn never flickered. Occasionally, beneath the veiled twilight canopy, when peering skyward toward the astral canvas bedecked with countless luminescent diamonds, he'd allow his mind to wander, cognizant of boundless adventures yet to take flight, forever awaiting his indomitable spirit.",
'Behold Ethan, at present hailed as the Village Magician a cognomen befitting his sorcery wielded within the confines of the community he adored. His exploits may have become tethered to a geographical locale, but the flame kindled by that premier sojourn never flickered. Occasionally, beneath the veiled twilight canopy, when peering skyward toward the astral canvas bedecked with countless luminescent diamonds, he\'d allow his mind to wander, cognizant of boundless adventures yet to take flight, forever awaiting his indomitable spirit.',
},
{
role: 'assistant',
content:
"Beautifully rewritten! It captures the essence of Cormac McCarthy's style, with its descriptive language and evocative imagery. The story retains the spirit of adventure and the power of imagination seen in the original. Well done! If you have any more requests or if there's anything else I can assist you with, feel free to let me know.",
'Beautifully rewritten! It captures the essence of Cormac McCarthy\'s style, with its descriptive language and evocative imagery. The story retains the spirit of adventure and the power of imagination seen in the original. Well done! If you have any more requests or if there\'s anything else I can assist you with, feel free to let me know.',
},
{
role: 'user',
@@ -73,19 +73,19 @@
{
role: 'assistant',
content:
"Certainly! Here's a short story reflecting Cormac McCarthy's style:\n" +
'Certainly! Here\'s a short story reflecting Cormac McCarthy\'s style:\n' +
'\n' +
'In a desolate wasteland scarred by the sins of mankind, a lone traveler ventured forth, his name forgotten by time, etched upon the shadows of memory. He navigated the barren plains, where the sun beat down, merciless and unrelenting, scorching the parched earth beneath his weary boots.\n' +
'\n' +
'Desolation was his only companion, the forsaken landscape a testament to the darkness that had befallen this forsaken realm. The wind whispered secrets long lost, carrying with it the echoes of a civilization long since undone, swallowed by the abyss.\n' +
'\n' +
"Amongst the shattered remnants of fallen cities, he sought solace, a glimmer of hope amidst the desolation. Rusted remnants of steel and concrete stood as sentinels of mankind's hubris, their jagged edges a chilling reminder of the fragility of all that was once deemed invincible.\n" +
'Amongst the shattered remnants of fallen cities, he sought solace, a glimmer of hope amidst the desolation. Rusted remnants of steel and concrete stood as sentinels of mankind\'s hubris, their jagged edges a chilling reminder of the fragility of all that was once deemed invincible.\n' +
'\n' +
'As twilight descended, casting a pallid hue upon the lifeless land, he happened upon a dilapidated house, its walls crumbling under the weight of time. Drawn to the desolation, he pushed open the creaking door, its rusty hinges screaming in protest.\n' +
'\n' +
'Inside, a world frozen in time awaited him. Dust particles danced through the air, illuminated by slivers of light that pierced the broken windows. Here, the past lay trapped, a melancholic tableau of lives lost and dreams shattered.\n' +
'\n' +
"He wandered through the empty rooms, bare walls whispering stories untold. In the corner, a dilapidated piano stood, its ivory keys long since abandoned by a musician's touch. He approached it cautiously, a faint glimmer of anticipation igniting in his weather-worn eyes.\n" +
'He wandered through the empty rooms, bare walls whispering stories untold. In the corner, a dilapidated piano stood, its ivory keys long since abandoned by a musician\'s touch. He approached it cautiously, a faint glimmer of anticipation igniting in his weather-worn eyes.\n' +
'\n' +
'Determined, he carefully brushed away the dust and debris that cloaked the instrument. With trembling hands, he pressed a key, and a discordant note filled the air, mingling with the sighs of forgotten melodies. The sound echoed through the silence, bringing with it the remnants of forgotten symphonies.\n' +
'\n' +
@@ -103,13 +103,13 @@
{
role: 'assistant',
content:
"Thank you! I'm glad you enjoyed it. If you have any more writing requests or if there's anything else I can assist you with, feel free to let me know.",
'Thank you! I\'m glad you enjoyed it. If you have any more writing requests or if there\'s anything else I can assist you with, feel free to let me know.',
},
{ role: 'user', content: 'you are very helpful' },
{
role: 'assistant',
content:
"Thank you for your kind words! I'm here to assist you in any way I can. If you have any more questions, need further assistance, or just want to chat, feel free to reach out.",
'Thank you for your kind words! I\'m here to assist you in any way I can. If you have any more questions, need further assistance, or just want to chat, feel free to reach out.',
},
{ role: 'user', content: 'no you man' },
];

View File

@@ -9,7 +9,7 @@ const chatPromptMemory = new ConversationSummaryBufferMemory({
});
(async () => {
await chatPromptMemory.saveContext({ input: "hi my name's Danny" }, { output: 'whats up' });
await chatPromptMemory.saveContext({ input: 'hi my name\'s Danny' }, { output: 'whats up' });
await chatPromptMemory.saveContext({ input: 'not much you' }, { output: 'not much' });
await chatPromptMemory.saveContext(
{ input: 'are you excited for the olympics?' },

View File

@@ -74,7 +74,7 @@ describe('addImages', () => {
it('should append correctly from a real scenario', () => {
responseMessage.text =
"Here is the generated image based on your request. It depicts a surreal landscape filled with floating musical notes. The style is impressionistic, with vibrant sunset hues dominating the scene. At the center, there's a silhouette of a grand piano, adding a dreamy emotion to the overall image. This could serve as a unique and creative music album cover. Would you like to make any changes or generate another image?";
'Here is the generated image based on your request. It depicts a surreal landscape filled with floating musical notes. The style is impressionistic, with vibrant sunset hues dominating the scene. At the center, there\'s a silhouette of a grand piano, adding a dreamy emotion to the overall image. This could serve as a unique and creative music album cover. Would you like to make any changes or generate another image?';
const originalText = responseMessage.text;
const imageMarkdown = '![generated image](/images/img-RnVWaYo2Yg4x3e0isICiMuf5.png)';
intermediateSteps.push({ observation: imageMarkdown });

View File

@@ -65,14 +65,14 @@ function buildPromptPrefix({ result, message, functionsAgent }) {
const preliminaryAnswer =
result.output?.length > 0 ? `Preliminary Answer: "${result.output.trim()}"` : '';
const prefix = preliminaryAnswer
? "review and improve the answer you generated using plugins in response to the User Message below. The user hasn't seen your answer or thoughts yet."
? 'review and improve the answer you generated using plugins in response to the User Message below. The user hasn\'t seen your answer or thoughts yet.'
: 'respond to the User Message below based on your preliminary thoughts & actions.';
return `As a helpful AI Assistant, ${prefix}${errorMessage}\n${internalActions}
${preliminaryAnswer}
Reply conversationally to the User based on your ${
preliminaryAnswer ? 'preliminary answer, ' : ''
}internal actions, thoughts, and observations, making improvements wherever possible, but do not modify URLs.
preliminaryAnswer ? 'preliminary answer, ' : ''
}internal actions, thoughts, and observations, making improvements wherever possible, but do not modify URLs.
${
preliminaryAnswer
? ''

View File

@@ -1,7 +1,7 @@
/**
* Anthropic API: Adds cache control to the appropriate user messages in the payload.
* @param {Array<AnthropicMessage | BaseMessage>} messages - The array of message objects.
* @returns {Array<AnthropicMessage | BaseMessage>} - The updated array of message objects with cache control added.
* @param {Array<AnthropicMessage>} messages - The array of message objects.
* @returns {Array<AnthropicMessage>} - The updated array of message objects with cache control added.
*/
function addCacheControl(messages) {
if (!Array.isArray(messages) || messages.length < 2) {
@@ -13,9 +13,7 @@ function addCacheControl(messages) {
for (let i = updatedMessages.length - 1; i >= 0 && userMessagesModified < 2; i--) {
const message = updatedMessages[i];
if (message.getType != null && message.getType() !== 'human') {
continue;
} else if (message.getType == null && message.role !== 'user') {
if (message.role !== 'user') {
continue;
}

View File

@@ -6,7 +6,7 @@ describe('addCacheControl', () => {
{ role: 'user', content: [{ type: 'text', text: 'Hello' }] },
{ role: 'assistant', content: [{ type: 'text', text: 'Hi there' }] },
{ role: 'user', content: [{ type: 'text', text: 'How are you?' }] },
{ role: 'assistant', content: [{ type: 'text', text: "I'm doing well, thanks!" }] },
{ role: 'assistant', content: [{ type: 'text', text: 'I\'m doing well, thanks!' }] },
{ role: 'user', content: [{ type: 'text', text: 'Great!' }] },
];
@@ -22,7 +22,7 @@ describe('addCacheControl', () => {
{ role: 'user', content: 'Hello' },
{ role: 'assistant', content: 'Hi there' },
{ role: 'user', content: 'How are you?' },
{ role: 'assistant', content: "I'm doing well, thanks!" },
{ role: 'assistant', content: 'I\'m doing well, thanks!' },
{ role: 'user', content: 'Great!' },
];
@@ -140,7 +140,7 @@ describe('addCacheControl', () => {
{ role: 'user', content: 'Hello' },
{ role: 'assistant', content: 'Hi there' },
{ role: 'user', content: [{ type: 'text', text: 'How are you?' }] },
{ role: 'assistant', content: "I'm doing well, thanks!" },
{ role: 'assistant', content: 'I\'m doing well, thanks!' },
{ role: 'user', content: 'Great!' },
];
@@ -160,7 +160,7 @@ describe('addCacheControl', () => {
},
]);
expect(result[1].content).toBe('Hi there');
expect(result[3].content).toBe("I'm doing well, thanks!");
expect(result[3].content).toBe('I\'m doing well, thanks!');
});
test('should handle edge case with multiple content types', () => {

View File

@@ -3,6 +3,7 @@ const { EModelEndpoint, ArtifactModes } = require('librechat-data-provider');
const { generateShadcnPrompt } = require('~/app/clients/prompts/shadcn-docs/generate');
const { components } = require('~/app/clients/prompts/shadcn-docs/components');
// eslint-disable-next-line no-unused-vars
const artifactsPromptV1 = dedent`The assistant can create and reference artifacts during conversations.
Artifacts are for substantial, self-contained content that users might modify or reuse, displayed in a separate UI window for clarity.

View File

@@ -96,35 +96,35 @@ function createContextHandlers(req, userMessageContent) {
resolvedQueries.length === 0
? '\n\tThe semantic search did not return any results.'
: resolvedQueries
.map((queryResult, index) => {
const file = processedFiles[index];
let contextItems = queryResult.data;
.map((queryResult, index) => {
const file = processedFiles[index];
let contextItems = queryResult.data;
const generateContext = (currentContext) =>
`
const generateContext = (currentContext) =>
`
<file>
<filename>${file.filename}</filename>
<context>${currentContext}
</context>
</file>`;
if (useFullContext) {
return generateContext(`\n${contextItems}`);
}
if (useFullContext) {
return generateContext(`\n${contextItems}`);
}
contextItems = queryResult.data
.map((item) => {
const pageContent = item[0].page_content;
return `
contextItems = queryResult.data
.map((item) => {
const pageContent = item[0].page_content;
return `
<contextItem>
<![CDATA[${pageContent?.trim()}]]>
</contextItem>`;
})
.join('');
})
.join('');
return generateContext(contextItems);
})
.join('');
return generateContext(contextItems);
})
.join('');
if (useFullContext) {
const prompt = `${header}

View File

@@ -130,7 +130,7 @@ describe('formatAgentMessages', () => {
content: [
{
type: ContentTypes.TEXT,
[ContentTypes.TEXT]: "I'll search for that information.",
[ContentTypes.TEXT]: 'I\'ll search for that information.',
tool_call_ids: ['search_1'],
},
{
@@ -144,7 +144,7 @@ describe('formatAgentMessages', () => {
},
{
type: ContentTypes.TEXT,
[ContentTypes.TEXT]: "Now, I'll convert the temperature.",
[ContentTypes.TEXT]: 'Now, I\'ll convert the temperature.',
tool_call_ids: ['convert_1'],
},
{
@@ -156,7 +156,7 @@ describe('formatAgentMessages', () => {
output: '23.89°C',
},
},
{ type: ContentTypes.TEXT, [ContentTypes.TEXT]: "Here's your answer." },
{ type: ContentTypes.TEXT, [ContentTypes.TEXT]: 'Here\'s your answer.' },
],
},
];
@@ -171,7 +171,7 @@ describe('formatAgentMessages', () => {
expect(result[4]).toBeInstanceOf(AIMessage);
// Check first AIMessage
expect(result[0].content).toBe("I'll search for that information.");
expect(result[0].content).toBe('I\'ll search for that information.');
expect(result[0].tool_calls).toHaveLength(1);
expect(result[0].tool_calls[0]).toEqual({
id: 'search_1',
@@ -187,7 +187,7 @@ describe('formatAgentMessages', () => {
);
// Check second AIMessage
expect(result[2].content).toBe("Now, I'll convert the temperature.");
expect(result[2].content).toBe('Now, I\'ll convert the temperature.');
expect(result[2].tool_calls).toHaveLength(1);
expect(result[2].tool_calls[0]).toEqual({
id: 'convert_1',
@@ -202,7 +202,7 @@ describe('formatAgentMessages', () => {
// Check final AIMessage
expect(result[4].content).toStrictEqual([
{ [ContentTypes.TEXT]: "Here's your answer.", type: ContentTypes.TEXT },
{ [ContentTypes.TEXT]: 'Here\'s your answer.', type: ContentTypes.TEXT },
]);
});
@@ -217,7 +217,7 @@ describe('formatAgentMessages', () => {
role: 'assistant',
content: [{ type: ContentTypes.TEXT, [ContentTypes.TEXT]: 'How can I help you?' }],
},
{ role: 'user', content: "What's the weather?" },
{ role: 'user', content: 'What\'s the weather?' },
{
role: 'assistant',
content: [
@@ -240,7 +240,7 @@ describe('formatAgentMessages', () => {
{
role: 'assistant',
content: [
{ type: ContentTypes.TEXT, [ContentTypes.TEXT]: "Here's the weather information." },
{ type: ContentTypes.TEXT, [ContentTypes.TEXT]: 'Here\'s the weather information.' },
],
},
];
@@ -265,12 +265,12 @@ describe('formatAgentMessages', () => {
{ [ContentTypes.TEXT]: 'How can I help you?', type: ContentTypes.TEXT },
]);
expect(result[2].content).toStrictEqual([
{ [ContentTypes.TEXT]: "What's the weather?", type: ContentTypes.TEXT },
{ [ContentTypes.TEXT]: 'What\'s the weather?', type: ContentTypes.TEXT },
]);
expect(result[3].content).toBe('Let me check that for you.');
expect(result[4].content).toBe('Sunny, 75°F');
expect(result[5].content).toStrictEqual([
{ [ContentTypes.TEXT]: "Here's the weather information.", type: ContentTypes.TEXT },
{ [ContentTypes.TEXT]: 'Here\'s the weather information.', type: ContentTypes.TEXT },
]);
// Check that there are no consecutive AIMessages
@@ -282,80 +282,4 @@ describe('formatAgentMessages', () => {
// Additional check to ensure the consecutive assistant messages were combined
expect(result[1].content).toHaveLength(2);
});
it('should skip THINK type content parts', () => {
const payload = [
{
role: 'assistant',
content: [
{ type: ContentTypes.TEXT, [ContentTypes.TEXT]: 'Initial response' },
{ type: ContentTypes.THINK, [ContentTypes.THINK]: 'Reasoning about the problem...' },
{ type: ContentTypes.TEXT, [ContentTypes.TEXT]: 'Final answer' },
],
},
];
const result = formatAgentMessages(payload);
expect(result).toHaveLength(1);
expect(result[0]).toBeInstanceOf(AIMessage);
expect(result[0].content).toEqual('Initial response\nFinal answer');
});
it('should join TEXT content as string when THINK content type is present', () => {
const payload = [
{
role: 'assistant',
content: [
{ type: ContentTypes.THINK, [ContentTypes.THINK]: 'Analyzing the problem...' },
{ type: ContentTypes.TEXT, [ContentTypes.TEXT]: 'First part of response' },
{ type: ContentTypes.TEXT, [ContentTypes.TEXT]: 'Second part of response' },
{ type: ContentTypes.TEXT, [ContentTypes.TEXT]: 'Final part of response' },
],
},
];
const result = formatAgentMessages(payload);
expect(result).toHaveLength(1);
expect(result[0]).toBeInstanceOf(AIMessage);
expect(typeof result[0].content).toBe('string');
expect(result[0].content).toBe(
'First part of response\nSecond part of response\nFinal part of response',
);
expect(result[0].content).not.toContain('Analyzing the problem...');
});
it('should exclude ERROR type content parts', () => {
const payload = [
{
role: 'assistant',
content: [
{ type: ContentTypes.TEXT, [ContentTypes.TEXT]: 'Hello there' },
{
type: ContentTypes.ERROR,
[ContentTypes.ERROR]:
'An error occurred while processing the request: Something went wrong',
},
{ type: ContentTypes.TEXT, [ContentTypes.TEXT]: 'Final answer' },
],
},
];
const result = formatAgentMessages(payload);
expect(result).toHaveLength(1);
expect(result[0]).toBeInstanceOf(AIMessage);
expect(result[0].content).toEqual([
{ type: ContentTypes.TEXT, [ContentTypes.TEXT]: 'Hello there' },
{ type: ContentTypes.TEXT, [ContentTypes.TEXT]: 'Final answer' },
]);
// Make sure no error content exists in the result
const hasErrorContent = result[0].content.some(
(item) =>
item.type === ContentTypes.ERROR || JSON.stringify(item).includes('An error occurred'),
);
expect(hasErrorContent).toBe(false);
});
});

View File

@@ -153,7 +153,6 @@ const formatAgentMessages = (payload) => {
let currentContent = [];
let lastAIMessage = null;
let hasReasoning = false;
for (const part of message.content) {
if (part.type === ContentTypes.TEXT && part.tool_call_ids) {
/*
@@ -208,27 +207,11 @@ const formatAgentMessages = (payload) => {
content: output || '',
}),
);
} else if (part.type === ContentTypes.THINK) {
hasReasoning = true;
continue;
} else if (part.type === ContentTypes.ERROR || part.type === ContentTypes.AGENT_UPDATE) {
continue;
} else {
currentContent.push(part);
}
}
if (hasReasoning) {
currentContent = currentContent
.reduce((acc, curr) => {
if (curr.type === ContentTypes.TEXT) {
return `${acc}${curr[ContentTypes.TEXT]}\n`;
}
return acc;
}, '')
.trim();
}
if (currentContent.length > 0) {
messages.push(new AIMessage({ content: currentContent }));
}

View File

@@ -1,8 +1,8 @@
module.exports = {
instructions:
"Remember, all your responses MUST be in the format described. Do not respond unless it's in the format described, using the structure of Action, Action Input, etc.",
'Remember, all your responses MUST be in the format described. Do not respond unless it\'s in the format described, using the structure of Action, Action Input, etc.',
errorInstructions:
"\nYou encountered an error in attempting a response. The user is not aware of the error so you shouldn't mention it.\nReview the actions taken carefully in case there is a partial or complete answer within them.\nError Message:",
'\nYou encountered an error in attempting a response. The user is not aware of the error so you shouldn\'t mention it.\nReview the actions taken carefully in case there is a partial or complete answer within them.\nError Message:',
imageInstructions:
'You must include the exact image paths from above, formatted in Markdown syntax: ![alt-text](URL)',
completionInstructions:

View File

@@ -18,17 +18,17 @@ function generateShadcnPrompt(options) {
Here are the components that are available, along with how to import them, and how to use them:
${Object.values(components)
.map((component) => {
if (useXML) {
return dedent`
.map((component) => {
if (useXML) {
return dedent`
<component>
<name>${component.componentName}</name>
<import-instructions>${component.importDocs}</import-instructions>
<usage-instructions>${component.usageDocs}</usage-instructions>
</component>
`;
} else {
return dedent`
} else {
return dedent`
# ${component.componentName}
## Import Instructions
@@ -37,9 +37,9 @@ function generateShadcnPrompt(options) {
## Usage Instructions
${component.usageDocs}
`;
}
})
.join('\n\n')}
}
})
.join('\n\n')}
`;
return systemPrompt;

View File

@@ -1,4 +1,3 @@
const { SplitStreamHandler } = require('@librechat/agents');
const { anthropicSettings } = require('librechat-data-provider');
const AnthropicClient = require('~/app/clients/AnthropicClient');
@@ -15,7 +14,7 @@ describe('AnthropicClient', () => {
{
role: 'user',
isCreatedByUser: true,
text: "What's up",
text: 'What\'s up',
messageId: '3',
parentMessageId: '2',
},
@@ -170,7 +169,7 @@ describe('AnthropicClient', () => {
client.options.modelLabel = 'Claude-2';
const result = await client.buildMessages(messages, parentMessageId);
const { prompt } = result;
expect(prompt).toContain("Human's name: John");
expect(prompt).toContain('Human\'s name: John');
expect(prompt).toContain('You are Claude-2');
});
});
@@ -244,64 +243,6 @@ describe('AnthropicClient', () => {
);
});
describe('Claude 4 model headers', () => {
it('should add "prompt-caching" beta header for claude-sonnet-4 model', () => {
const client = new AnthropicClient('test-api-key');
const modelOptions = {
model: 'claude-sonnet-4-20250514',
};
client.setOptions({ modelOptions, promptCache: true });
const anthropicClient = client.getClient(modelOptions);
expect(anthropicClient._options.defaultHeaders).toBeDefined();
expect(anthropicClient._options.defaultHeaders).toHaveProperty('anthropic-beta');
expect(anthropicClient._options.defaultHeaders['anthropic-beta']).toBe(
'prompt-caching-2024-07-31',
);
});
it('should add "prompt-caching" beta header for claude-opus-4 model', () => {
const client = new AnthropicClient('test-api-key');
const modelOptions = {
model: 'claude-opus-4-20250514',
};
client.setOptions({ modelOptions, promptCache: true });
const anthropicClient = client.getClient(modelOptions);
expect(anthropicClient._options.defaultHeaders).toBeDefined();
expect(anthropicClient._options.defaultHeaders).toHaveProperty('anthropic-beta');
expect(anthropicClient._options.defaultHeaders['anthropic-beta']).toBe(
'prompt-caching-2024-07-31',
);
});
it('should add "prompt-caching" beta header for claude-4-sonnet model', () => {
const client = new AnthropicClient('test-api-key');
const modelOptions = {
model: 'claude-4-sonnet-20250514',
};
client.setOptions({ modelOptions, promptCache: true });
const anthropicClient = client.getClient(modelOptions);
expect(anthropicClient._options.defaultHeaders).toBeDefined();
expect(anthropicClient._options.defaultHeaders).toHaveProperty('anthropic-beta');
expect(anthropicClient._options.defaultHeaders['anthropic-beta']).toBe(
'prompt-caching-2024-07-31',
);
});
it('should add "prompt-caching" beta header for claude-4-opus model', () => {
const client = new AnthropicClient('test-api-key');
const modelOptions = {
model: 'claude-4-opus-20250514',
};
client.setOptions({ modelOptions, promptCache: true });
const anthropicClient = client.getClient(modelOptions);
expect(anthropicClient._options.defaultHeaders).toBeDefined();
expect(anthropicClient._options.defaultHeaders).toHaveProperty('anthropic-beta');
expect(anthropicClient._options.defaultHeaders['anthropic-beta']).toBe(
'prompt-caching-2024-07-31',
);
});
});
it('should not add beta header for claude-3-5-sonnet-latest model', () => {
const client = new AnthropicClient('test-api-key');
const modelOptions = {
@@ -464,574 +405,4 @@ describe('AnthropicClient', () => {
expect(Number.isNaN(result)).toBe(false);
});
});
describe('maxOutputTokens handling for different models', () => {
it('should not cap maxOutputTokens for Claude 3.5 Sonnet models', () => {
const client = new AnthropicClient('test-api-key');
const highTokenValue = anthropicSettings.legacy.maxOutputTokens.default * 10;
client.setOptions({
modelOptions: {
model: 'claude-3-5-sonnet',
maxOutputTokens: highTokenValue,
},
});
expect(client.modelOptions.maxOutputTokens).toBe(highTokenValue);
// Test with decimal notation
client.setOptions({
modelOptions: {
model: 'claude-3.5-sonnet',
maxOutputTokens: highTokenValue,
},
});
expect(client.modelOptions.maxOutputTokens).toBe(highTokenValue);
});
it('should not cap maxOutputTokens for Claude 3.7 models', () => {
const client = new AnthropicClient('test-api-key');
const highTokenValue = anthropicSettings.legacy.maxOutputTokens.default * 2;
client.setOptions({
modelOptions: {
model: 'claude-3-7-sonnet',
maxOutputTokens: highTokenValue,
},
});
expect(client.modelOptions.maxOutputTokens).toBe(highTokenValue);
// Test with decimal notation
client.setOptions({
modelOptions: {
model: 'claude-3.7-sonnet',
maxOutputTokens: highTokenValue,
},
});
expect(client.modelOptions.maxOutputTokens).toBe(highTokenValue);
});
it('should not cap maxOutputTokens for Claude 4 Sonnet models', () => {
const client = new AnthropicClient('test-api-key');
const highTokenValue = anthropicSettings.legacy.maxOutputTokens.default * 10; // 40,960 tokens
client.setOptions({
modelOptions: {
model: 'claude-sonnet-4-20250514',
maxOutputTokens: highTokenValue,
},
});
expect(client.modelOptions.maxOutputTokens).toBe(highTokenValue);
});
it('should not cap maxOutputTokens for Claude 4 Opus models', () => {
const client = new AnthropicClient('test-api-key');
const highTokenValue = anthropicSettings.legacy.maxOutputTokens.default * 6; // 24,576 tokens (under 32K limit)
client.setOptions({
modelOptions: {
model: 'claude-opus-4-20250514',
maxOutputTokens: highTokenValue,
},
});
expect(client.modelOptions.maxOutputTokens).toBe(highTokenValue);
});
it('should cap maxOutputTokens for Claude 3.5 Haiku models', () => {
const client = new AnthropicClient('test-api-key');
const highTokenValue = anthropicSettings.legacy.maxOutputTokens.default * 2;
client.setOptions({
modelOptions: {
model: 'claude-3-5-haiku',
maxOutputTokens: highTokenValue,
},
});
expect(client.modelOptions.maxOutputTokens).toBe(
anthropicSettings.legacy.maxOutputTokens.default,
);
// Test with decimal notation
client.setOptions({
modelOptions: {
model: 'claude-3.5-haiku',
maxOutputTokens: highTokenValue,
},
});
expect(client.modelOptions.maxOutputTokens).toBe(
anthropicSettings.legacy.maxOutputTokens.default,
);
});
it('should cap maxOutputTokens for Claude 3 Haiku and Opus models', () => {
const client = new AnthropicClient('test-api-key');
const highTokenValue = anthropicSettings.legacy.maxOutputTokens.default * 2;
// Test haiku
client.setOptions({
modelOptions: {
model: 'claude-3-haiku',
maxOutputTokens: highTokenValue,
},
});
expect(client.modelOptions.maxOutputTokens).toBe(
anthropicSettings.legacy.maxOutputTokens.default,
);
// Test opus
client.setOptions({
modelOptions: {
model: 'claude-3-opus',
maxOutputTokens: highTokenValue,
},
});
expect(client.modelOptions.maxOutputTokens).toBe(
anthropicSettings.legacy.maxOutputTokens.default,
);
});
});
describe('topK/topP parameters for different models', () => {
beforeEach(() => {
// Mock the SplitStreamHandler
jest.spyOn(SplitStreamHandler.prototype, 'handle').mockImplementation(() => {});
});
afterEach(() => {
jest.restoreAllMocks();
});
it('should include top_k and top_p parameters for non-claude-3.7 models', async () => {
const client = new AnthropicClient('test-api-key');
// Create a mock async generator function
async function* mockAsyncGenerator() {
yield { type: 'message_start', message: { usage: {} } };
yield { delta: { text: 'Test response' } };
yield { type: 'message_delta', usage: {} };
}
// Mock createResponse to return the async generator
jest.spyOn(client, 'createResponse').mockImplementation(() => {
return mockAsyncGenerator();
});
client.setOptions({
modelOptions: {
model: 'claude-3-opus',
temperature: 0.7,
topK: 10,
topP: 0.9,
},
});
// Mock getClient to capture the request options
let capturedOptions = null;
jest.spyOn(client, 'getClient').mockImplementation((options) => {
capturedOptions = options;
return {};
});
const payload = [{ role: 'user', content: 'Test message' }];
await client.sendCompletion(payload, {});
// Check the options passed to getClient
expect(capturedOptions).toHaveProperty('top_k', 10);
expect(capturedOptions).toHaveProperty('top_p', 0.9);
});
it('should include top_k and top_p parameters for claude-3-5-sonnet models', async () => {
const client = new AnthropicClient('test-api-key');
// Create a mock async generator function
async function* mockAsyncGenerator() {
yield { type: 'message_start', message: { usage: {} } };
yield { delta: { text: 'Test response' } };
yield { type: 'message_delta', usage: {} };
}
// Mock createResponse to return the async generator
jest.spyOn(client, 'createResponse').mockImplementation(() => {
return mockAsyncGenerator();
});
client.setOptions({
modelOptions: {
model: 'claude-3-5-sonnet',
temperature: 0.7,
topK: 10,
topP: 0.9,
},
});
// Mock getClient to capture the request options
let capturedOptions = null;
jest.spyOn(client, 'getClient').mockImplementation((options) => {
capturedOptions = options;
return {};
});
const payload = [{ role: 'user', content: 'Test message' }];
await client.sendCompletion(payload, {});
// Check the options passed to getClient
expect(capturedOptions).toHaveProperty('top_k', 10);
expect(capturedOptions).toHaveProperty('top_p', 0.9);
});
it('should not include top_k and top_p parameters for claude-3-7-sonnet models', async () => {
const client = new AnthropicClient('test-api-key');
// Create a mock async generator function
async function* mockAsyncGenerator() {
yield { type: 'message_start', message: { usage: {} } };
yield { delta: { text: 'Test response' } };
yield { type: 'message_delta', usage: {} };
}
// Mock createResponse to return the async generator
jest.spyOn(client, 'createResponse').mockImplementation(() => {
return mockAsyncGenerator();
});
client.setOptions({
modelOptions: {
model: 'claude-3-7-sonnet',
temperature: 0.7,
topK: 10,
topP: 0.9,
},
});
// Mock getClient to capture the request options
let capturedOptions = null;
jest.spyOn(client, 'getClient').mockImplementation((options) => {
capturedOptions = options;
return {};
});
const payload = [{ role: 'user', content: 'Test message' }];
await client.sendCompletion(payload, {});
// Check the options passed to getClient
expect(capturedOptions).not.toHaveProperty('top_k');
expect(capturedOptions).not.toHaveProperty('top_p');
});
it('should not include top_k and top_p parameters for models with decimal notation (claude-3.7)', async () => {
const client = new AnthropicClient('test-api-key');
// Create a mock async generator function
async function* mockAsyncGenerator() {
yield { type: 'message_start', message: { usage: {} } };
yield { delta: { text: 'Test response' } };
yield { type: 'message_delta', usage: {} };
}
// Mock createResponse to return the async generator
jest.spyOn(client, 'createResponse').mockImplementation(() => {
return mockAsyncGenerator();
});
client.setOptions({
modelOptions: {
model: 'claude-3.7-sonnet',
temperature: 0.7,
topK: 10,
topP: 0.9,
},
});
// Mock getClient to capture the request options
let capturedOptions = null;
jest.spyOn(client, 'getClient').mockImplementation((options) => {
capturedOptions = options;
return {};
});
const payload = [{ role: 'user', content: 'Test message' }];
await client.sendCompletion(payload, {});
// Check the options passed to getClient
expect(capturedOptions).not.toHaveProperty('top_k');
expect(capturedOptions).not.toHaveProperty('top_p');
});
});
it('should include top_k and top_p parameters for Claude-3.7 models when thinking is explicitly disabled', async () => {
const client = new AnthropicClient('test-api-key', {
modelOptions: {
model: 'claude-3-7-sonnet',
temperature: 0.7,
topK: 10,
topP: 0.9,
},
thinking: false,
});
async function* mockAsyncGenerator() {
yield { type: 'message_start', message: { usage: {} } };
yield { delta: { text: 'Test response' } };
yield { type: 'message_delta', usage: {} };
}
jest.spyOn(client, 'createResponse').mockImplementation(() => {
return mockAsyncGenerator();
});
let capturedOptions = null;
jest.spyOn(client, 'getClient').mockImplementation((options) => {
capturedOptions = options;
return {};
});
const payload = [{ role: 'user', content: 'Test message' }];
await client.sendCompletion(payload, {});
expect(capturedOptions).toHaveProperty('topK', 10);
expect(capturedOptions).toHaveProperty('topP', 0.9);
client.setOptions({
modelOptions: {
model: 'claude-3.7-sonnet',
temperature: 0.7,
topK: 10,
topP: 0.9,
},
thinking: false,
});
await client.sendCompletion(payload, {});
expect(capturedOptions).toHaveProperty('topK', 10);
expect(capturedOptions).toHaveProperty('topP', 0.9);
});
describe('isClaudeLatest', () => {
it('should set isClaudeLatest to true for claude-3 models', () => {
const client = new AnthropicClient('test-api-key');
client.setOptions({
modelOptions: {
model: 'claude-3-sonnet-20240229',
},
});
expect(client.isClaudeLatest).toBe(true);
});
it('should set isClaudeLatest to true for claude-3.5 models', () => {
const client = new AnthropicClient('test-api-key');
client.setOptions({
modelOptions: {
model: 'claude-3.5-sonnet-20240229',
},
});
expect(client.isClaudeLatest).toBe(true);
});
it('should set isClaudeLatest to true for claude-sonnet-4 models', () => {
const client = new AnthropicClient('test-api-key');
client.setOptions({
modelOptions: {
model: 'claude-sonnet-4-20240229',
},
});
expect(client.isClaudeLatest).toBe(true);
});
it('should set isClaudeLatest to true for claude-opus-4 models', () => {
const client = new AnthropicClient('test-api-key');
client.setOptions({
modelOptions: {
model: 'claude-opus-4-20240229',
},
});
expect(client.isClaudeLatest).toBe(true);
});
it('should set isClaudeLatest to true for claude-3.5-haiku models', () => {
const client = new AnthropicClient('test-api-key');
client.setOptions({
modelOptions: {
model: 'claude-3.5-haiku-20240229',
},
});
expect(client.isClaudeLatest).toBe(true);
});
it('should set isClaudeLatest to false for claude-2 models', () => {
const client = new AnthropicClient('test-api-key');
client.setOptions({
modelOptions: {
model: 'claude-2',
},
});
expect(client.isClaudeLatest).toBe(false);
});
it('should set isClaudeLatest to false for claude-instant models', () => {
const client = new AnthropicClient('test-api-key');
client.setOptions({
modelOptions: {
model: 'claude-instant',
},
});
expect(client.isClaudeLatest).toBe(false);
});
it('should set isClaudeLatest to false for claude-sonnet-3 models', () => {
const client = new AnthropicClient('test-api-key');
client.setOptions({
modelOptions: {
model: 'claude-sonnet-3-20240229',
},
});
expect(client.isClaudeLatest).toBe(false);
});
it('should set isClaudeLatest to false for claude-opus-3 models', () => {
const client = new AnthropicClient('test-api-key');
client.setOptions({
modelOptions: {
model: 'claude-opus-3-20240229',
},
});
expect(client.isClaudeLatest).toBe(false);
});
it('should set isClaudeLatest to false for claude-haiku-3 models', () => {
const client = new AnthropicClient('test-api-key');
client.setOptions({
modelOptions: {
model: 'claude-haiku-3-20240229',
},
});
expect(client.isClaudeLatest).toBe(false);
});
});
describe('configureReasoning', () => {
it('should enable thinking for claude-opus-4 and claude-sonnet-4 models', async () => {
const client = new AnthropicClient('test-api-key');
// Create a mock async generator function
async function* mockAsyncGenerator() {
yield { type: 'message_start', message: { usage: {} } };
yield { delta: { text: 'Test response' } };
yield { type: 'message_delta', usage: {} };
}
// Mock createResponse to return the async generator
jest.spyOn(client, 'createResponse').mockImplementation(() => {
return mockAsyncGenerator();
});
// Test claude-opus-4
client.setOptions({
modelOptions: {
model: 'claude-opus-4-20250514',
},
thinking: true,
thinkingBudget: 2000,
});
let capturedOptions = null;
jest.spyOn(client, 'getClient').mockImplementation((options) => {
capturedOptions = options;
return {};
});
const payload = [{ role: 'user', content: 'Test message' }];
await client.sendCompletion(payload, {});
expect(capturedOptions).toHaveProperty('thinking');
expect(capturedOptions.thinking).toEqual({
type: 'enabled',
budget_tokens: 2000,
});
// Test claude-sonnet-4
client.setOptions({
modelOptions: {
model: 'claude-sonnet-4-20250514',
},
thinking: true,
thinkingBudget: 2000,
});
await client.sendCompletion(payload, {});
expect(capturedOptions).toHaveProperty('thinking');
expect(capturedOptions.thinking).toEqual({
type: 'enabled',
budget_tokens: 2000,
});
});
});
});
describe('Claude Model Tests', () => {
it('should handle Claude 3 and 4 series models correctly', () => {
const client = new AnthropicClient('test-key');
// Claude 3 series models
const claude3Models = [
'claude-3-opus-20240229',
'claude-3-sonnet-20240229',
'claude-3-haiku-20240307',
'claude-3-5-sonnet-20240620',
'claude-3-5-haiku-20240620',
'claude-3.5-sonnet-20240620',
'claude-3.5-haiku-20240620',
'claude-3.7-sonnet-20240620',
'claude-3.7-haiku-20240620',
'anthropic/claude-3-opus-20240229',
'claude-3-opus-20240229/anthropic',
];
// Claude 4 series models
const claude4Models = [
'claude-sonnet-4-20250514',
'claude-opus-4-20250514',
'claude-4-sonnet-20250514',
'claude-4-opus-20250514',
'anthropic/claude-sonnet-4-20250514',
'claude-sonnet-4-20250514/anthropic',
];
// Test Claude 3 series
claude3Models.forEach((model) => {
client.setOptions({ modelOptions: { model } });
expect(
/claude-[3-9]/.test(client.modelOptions.model) ||
/claude-(?:sonnet|opus|haiku)-[4-9]/.test(client.modelOptions.model),
).toBe(true);
});
// Test Claude 4 series
claude4Models.forEach((model) => {
client.setOptions({ modelOptions: { model } });
expect(
/claude-[3-9]/.test(client.modelOptions.model) ||
/claude-(?:sonnet|opus|haiku)-[4-9]/.test(client.modelOptions.model),
).toBe(true);
});
// Test non-Claude 3/4 models
const nonClaudeModels = ['claude-2', 'claude-instant', 'gpt-4', 'gpt-3.5-turbo'];
nonClaudeModels.forEach((model) => {
client.setOptions({ modelOptions: { model } });
expect(
/claude-[3-9]/.test(client.modelOptions.model) ||
/claude-(?:sonnet|opus|haiku)-[4-9]/.test(client.modelOptions.model),
).toBe(false);
});
});
});

View File

@@ -30,9 +30,7 @@ jest.mock('~/models', () => ({
updateFileUsage: jest.fn(),
}));
const { getConvo, saveConvo } = require('~/models');
jest.mock('@librechat/agents', () => {
jest.mock('@langchain/openai', () => {
return {
ChatOpenAI: jest.fn().mockImplementation(() => {
return {};
@@ -52,7 +50,7 @@ const messageHistory = [
{
role: 'user',
isCreatedByUser: true,
text: "What's up",
text: 'What\'s up',
messageId: '3',
parentMessageId: '2',
},
@@ -164,7 +162,7 @@ describe('BaseClient', () => {
const result = await TestClient.getMessagesWithinTokenLimit({ messages });
expect(result.context).toEqual(expectedContext);
expect(result.messagesToRefine.length - 1).toEqual(expectedIndex);
expect(result.summaryIndex).toEqual(expectedIndex);
expect(result.remainingContextTokens).toBe(expectedRemainingContextTokens);
expect(result.messagesToRefine).toEqual(expectedMessagesToRefine);
});
@@ -200,7 +198,7 @@ describe('BaseClient', () => {
const result = await TestClient.getMessagesWithinTokenLimit({ messages });
expect(result.context).toEqual(expectedContext);
expect(result.messagesToRefine.length - 1).toEqual(expectedIndex);
expect(result.summaryIndex).toEqual(expectedIndex);
expect(result.remainingContextTokens).toBe(expectedRemainingContextTokens);
expect(result.messagesToRefine).toEqual(expectedMessagesToRefine);
});
@@ -456,7 +454,7 @@ describe('BaseClient', () => {
const chatMessages2 = await TestClient.loadHistory(conversationId, '3');
expect(TestClient.currentMessages).toHaveLength(3);
expect(chatMessages2[chatMessages2.length - 1].text).toEqual("What's up");
expect(chatMessages2[chatMessages2.length - 1].text).toEqual('What\'s up');
});
/* Most of the new sendMessage logic revolving around edited/continued AI messages
@@ -542,11 +540,10 @@ describe('BaseClient', () => {
test('saveMessageToDatabase is called with the correct arguments', async () => {
const saveOptions = TestClient.getSaveOptions();
const user = {};
const user = {}; // Mock user
const opts = { user };
const saveSpy = jest.spyOn(TestClient, 'saveMessageToDatabase');
await TestClient.sendMessage('Hello, world!', opts);
expect(saveSpy).toHaveBeenCalledWith(
expect(TestClient.saveMessageToDatabase).toHaveBeenCalledWith(
expect.objectContaining({
sender: expect.any(String),
text: expect.any(String),
@@ -560,157 +557,6 @@ describe('BaseClient', () => {
);
});
test('should handle existing conversation when getConvo retrieves one', async () => {
const existingConvo = {
conversationId: 'existing-convo-id',
endpoint: 'openai',
endpointType: 'openai',
model: 'gpt-3.5-turbo',
messages: [
{ role: 'user', content: 'Existing message 1' },
{ role: 'assistant', content: 'Existing response 1' },
],
temperature: 1,
};
const { temperature: _temp, ...newConvo } = existingConvo;
const user = {
id: 'user-id',
};
getConvo.mockResolvedValue(existingConvo);
saveConvo.mockResolvedValue(newConvo);
TestClient = initializeFakeClient(
apiKey,
{
...options,
req: {
user,
},
},
[],
);
const saveSpy = jest.spyOn(TestClient, 'saveMessageToDatabase');
const newMessage = 'New message in existing conversation';
const response = await TestClient.sendMessage(newMessage, {
user,
conversationId: existingConvo.conversationId,
});
expect(getConvo).toHaveBeenCalledWith(user.id, existingConvo.conversationId);
expect(TestClient.conversationId).toBe(existingConvo.conversationId);
expect(response.conversationId).toBe(existingConvo.conversationId);
expect(TestClient.fetchedConvo).toBe(true);
expect(saveSpy).toHaveBeenCalledWith(
expect.objectContaining({
conversationId: existingConvo.conversationId,
text: newMessage,
}),
expect.any(Object),
expect.any(Object),
);
expect(saveConvo).toHaveBeenCalledTimes(2);
expect(saveConvo).toHaveBeenCalledWith(
expect.any(Object),
expect.objectContaining({
conversationId: existingConvo.conversationId,
}),
expect.objectContaining({
context: 'api/app/clients/BaseClient.js - saveMessageToDatabase #saveConvo',
unsetFields: {
temperature: 1,
},
}),
);
await TestClient.sendMessage('Another message', {
conversationId: existingConvo.conversationId,
});
expect(getConvo).toHaveBeenCalledTimes(1);
});
test('should correctly handle existing conversation and unset fields appropriately', async () => {
const existingConvo = {
conversationId: 'existing-convo-id',
endpoint: 'openai',
endpointType: 'openai',
model: 'gpt-3.5-turbo',
messages: [
{ role: 'user', content: 'Existing message 1' },
{ role: 'assistant', content: 'Existing response 1' },
],
title: 'Existing Conversation',
someExistingField: 'existingValue',
anotherExistingField: 'anotherValue',
temperature: 0.7,
modelLabel: 'GPT-3.5',
};
getConvo.mockResolvedValue(existingConvo);
saveConvo.mockResolvedValue(existingConvo);
TestClient = initializeFakeClient(
apiKey,
{
...options,
modelOptions: {
model: 'gpt-4',
temperature: 0.5,
},
},
[],
);
const newMessage = 'New message in existing conversation';
await TestClient.sendMessage(newMessage, {
conversationId: existingConvo.conversationId,
});
expect(saveConvo).toHaveBeenCalledTimes(2);
const saveConvoCall = saveConvo.mock.calls[0];
const [, savedFields, saveOptions] = saveConvoCall;
// Instead of checking all excludedKeys, we'll just check specific fields
// that we know should be excluded
expect(savedFields).not.toHaveProperty('messages');
expect(savedFields).not.toHaveProperty('title');
// Only check that someExistingField is in unsetFields
expect(saveOptions.unsetFields).toHaveProperty('someExistingField', 1);
// Mock saveConvo to return the expected fields
saveConvo.mockImplementation((req, fields) => {
return Promise.resolve({
...fields,
endpoint: 'openai',
endpointType: 'openai',
model: 'gpt-4',
temperature: 0.5,
});
});
// Only check the conversationId since that's the only field we can be sure about
expect(savedFields).toHaveProperty('conversationId', 'existing-convo-id');
expect(TestClient.fetchedConvo).toBe(true);
await TestClient.sendMessage('Another message', {
conversationId: existingConvo.conversationId,
});
expect(getConvo).toHaveBeenCalledTimes(1);
const secondSaveConvoCall = saveConvo.mock.calls[1];
expect(secondSaveConvoCall[2]).toHaveProperty('unsetFields', {});
});
test('sendCompletion is called with the correct arguments', async () => {
const payload = {}; // Mock payload
TestClient.buildMessages.mockReturnValue({ prompt: payload, tokenCountMap: null });

View File

@@ -56,6 +56,7 @@ const initializeFakeClient = (apiKey, options, fakeMessages) => {
let TestClient = new FakeClient(apiKey);
TestClient.options = options;
TestClient.abortController = { abort: jest.fn() };
TestClient.saveMessageToDatabase = jest.fn();
TestClient.loadHistory = jest
.fn()
.mockImplementation((conversationId, parentMessageId = null) => {
@@ -85,6 +86,7 @@ const initializeFakeClient = (apiKey, options, fakeMessages) => {
return 'Mock response text';
});
// eslint-disable-next-line no-unused-vars
TestClient.getCompletion = jest.fn().mockImplementation(async (..._args) => {
return {
choices: [

View File

@@ -1,7 +1,9 @@
jest.mock('~/cache/getLogStores');
require('dotenv').config();
const { fetchEventSource } = require('@waylaidwanderer/fetch-event-source');
const OpenAI = require('openai');
const getLogStores = require('~/cache/getLogStores');
const { fetchEventSource } = require('@waylaidwanderer/fetch-event-source');
const { genAzureChatCompletion } = require('~/utils/azureUtils');
const OpenAIClient = require('../OpenAIClient');
jest.mock('meilisearch');
@@ -34,21 +36,19 @@ jest.mock('~/models', () => ({
updateFileUsage: jest.fn(),
}));
// Import the actual module but mock specific parts
const agents = jest.requireActual('@librechat/agents');
const { CustomOpenAIClient } = agents;
// Also mock ChatOpenAI to prevent real API calls
agents.ChatOpenAI = jest.fn().mockImplementation(() => {
return {};
});
agents.AzureChatOpenAI = jest.fn().mockImplementation(() => {
return {};
jest.mock('@langchain/openai', () => {
return {
ChatOpenAI: jest.fn().mockImplementation(() => {
return {};
}),
};
});
// Mock only the CustomOpenAIClient constructor
jest.spyOn(CustomOpenAIClient, 'constructor').mockImplementation(function (...options) {
return new CustomOpenAIClient(...options);
jest.mock('openai');
jest.spyOn(OpenAI, 'constructor').mockImplementation(function (...options) {
// We can add additional logic here if needed
return new OpenAI(...options);
});
const finalChatCompletion = jest.fn().mockResolvedValue({
@@ -120,13 +120,7 @@ const create = jest.fn().mockResolvedValue({
],
});
// Mock the implementation of CustomOpenAIClient instances
jest.spyOn(CustomOpenAIClient.prototype, 'constructor').mockImplementation(function () {
return this;
});
// Create a mock for the CustomOpenAIClient class
const mockCustomOpenAIClient = jest.fn().mockImplementation(() => ({
OpenAI.mockImplementation(() => ({
beta: {
chat: {
completions: {
@@ -141,14 +135,11 @@ const mockCustomOpenAIClient = jest.fn().mockImplementation(() => ({
},
}));
CustomOpenAIClient.mockImplementation = mockCustomOpenAIClient;
describe('OpenAIClient', () => {
const mockSet = jest.fn();
const mockCache = { set: mockSet };
beforeEach(() => {
const mockCache = {
get: jest.fn().mockResolvedValue({}),
set: jest.fn(),
};
getLogStores.mockReturnValue(mockCache);
});
let client;
@@ -211,6 +202,14 @@ describe('OpenAIClient', () => {
expect(client.modelOptions.temperature).toBe(0.7);
});
it('should set apiKey and useOpenRouter if OPENROUTER_API_KEY is present', () => {
process.env.OPENROUTER_API_KEY = 'openrouter-key';
client.setOptions({});
expect(client.apiKey).toBe('openrouter-key');
expect(client.useOpenRouter).toBe(true);
delete process.env.OPENROUTER_API_KEY; // Cleanup
});
it('should set FORCE_PROMPT based on OPENAI_FORCE_PROMPT or reverseProxyUrl', () => {
process.env.OPENAI_FORCE_PROMPT = 'true';
client.setOptions({});
@@ -462,17 +461,17 @@ describe('OpenAIClient', () => {
role: 'system',
name: 'example_user',
content:
"Let's circle back when we have more bandwidth to touch base on opportunities for increased leverage.",
'Let\'s circle back when we have more bandwidth to touch base on opportunities for increased leverage.',
},
{
role: 'system',
name: 'example_assistant',
content: "Let's talk later when we're less busy about how to do better.",
content: 'Let\'s talk later when we\'re less busy about how to do better.',
},
{
role: 'user',
content:
"This late pivot means we don't have time to boil the ocean for the client deliverable.",
'This late pivot means we don\'t have time to boil the ocean for the client deliverable.',
},
];
@@ -535,6 +534,7 @@ describe('OpenAIClient', () => {
afterEach(() => {
delete process.env.AZURE_OPENAI_DEFAULT_MODEL;
delete process.env.AZURE_USE_MODEL_AS_DEPLOYMENT_NAME;
delete process.env.OPENROUTER_API_KEY;
});
it('should call getCompletion and fetchEventSource when using a text/instruct model', async () => {
@@ -567,6 +567,41 @@ describe('OpenAIClient', () => {
expect(requestBody).toHaveProperty('model');
expect(requestBody.model).toBe(model);
});
it('[Azure OpenAI] should call chatCompletion and OpenAI.stream with correct args', async () => {
// Set a default model
process.env.AZURE_OPENAI_DEFAULT_MODEL = 'gpt4-turbo';
const onProgress = jest.fn().mockImplementation(() => ({}));
client.azure = defaultAzureOptions;
const chatCompletion = jest.spyOn(client, 'chatCompletion');
await client.sendMessage('Hi mom!', {
replaceOptions: true,
...defaultOptions,
modelOptions: { model: 'gpt4-turbo', stream: true },
onProgress,
azure: defaultAzureOptions,
});
expect(chatCompletion).toHaveBeenCalled();
expect(chatCompletion.mock.calls.length).toBe(1);
const chatCompletionArgs = chatCompletion.mock.calls[0][0];
const { payload } = chatCompletionArgs;
expect(payload[0].role).toBe('user');
expect(payload[0].content).toBe('Hi mom!');
// Azure OpenAI does not use the model property, and will error if it's passed
// This check ensures the model property is not present
const streamArgs = stream.mock.calls[0][0];
expect(streamArgs).not.toHaveProperty('model');
// Check if the baseURL is correct
const constructorArgs = OpenAI.mock.calls[0][0];
const expectedURL = genAzureChatCompletion(defaultAzureOptions).split('/chat')[0];
expect(constructorArgs.baseURL).toBe(expectedURL);
});
});
describe('checkVisionRequest functionality', () => {

View File

@@ -2,15 +2,13 @@ const availableTools = require('./manifest.json');
// Structured Tools
const DALLE3 = require('./structured/DALLE3');
const FluxAPI = require('./structured/FluxAPI');
const OpenWeather = require('./structured/OpenWeather');
const StructuredWolfram = require('./structured/Wolfram');
const createYouTubeTools = require('./structured/YouTube');
const StructuredWolfram = require('./structured/Wolfram');
const StructuredACS = require('./structured/AzureAISearch');
const StructuredSD = require('./structured/StableDiffusion');
const GoogleSearchAPI = require('./structured/GoogleSearch');
const TraversaalSearch = require('./structured/TraversaalSearch');
const createOpenAIImageTools = require('./structured/OpenAIImageTools');
const TavilySearchResults = require('./structured/TavilySearchResults');
/** @type {Record<string, TPlugin | undefined>} */
@@ -32,7 +30,6 @@ module.exports = {
manifestToolMap,
// Structured Tools
DALLE3,
FluxAPI,
OpenWeather,
StructuredSD,
StructuredACS,
@@ -41,5 +38,4 @@ module.exports = {
StructuredWolfram,
createYouTubeTools,
TavilySearchResults,
createOpenAIImageTools,
};

View File

@@ -44,20 +44,6 @@
}
]
},
{
"name": "OpenAI Image Tools",
"pluginKey": "image_gen_oai",
"toolkit": true,
"description": "Image Generation and Editing using OpenAI's latest state-of-the-art models",
"icon": "/assets/image_gen_oai.png",
"authConfig": [
{
"authField": "IMAGE_GEN_OAI_API_KEY",
"label": "OpenAI Image Tools API Key",
"description": "Your OpenAI API Key for Image Generation and Editing"
}
]
},
{
"name": "Wolfram",
"pluginKey": "wolfram",
@@ -178,19 +164,5 @@
"description": "Sign up at <a href=\"https://home.openweathermap.org/users/sign_up\" target=\"_blank\">OpenWeather</a>, then get your key at <a href=\"https://home.openweathermap.org/api_keys\" target=\"_blank\">API keys</a>."
}
]
},
{
"name": "Flux",
"pluginKey": "flux",
"description": "Generate images using text with the Flux API.",
"icon": "https://blackforestlabs.ai/wp-content/uploads/2024/07/bfl_logo_retraced_blk.png",
"isAuthRequired": "true",
"authConfig": [
{
"authField": "FLUX_API_KEY",
"label": "Your Flux API Key",
"description": "Provide your Flux API key from your user profile."
}
]
}
]

View File

@@ -18,7 +18,7 @@ class AzureAISearch extends Tool {
super();
this.name = 'azure-ai-search';
this.description =
"Use the 'azure-ai-search' tool to retrieve search results relevant to your input";
'Use the \'azure-ai-search\' tool to retrieve search results relevant to your input';
/* Used to initialize the Tool without necessary variables. */
this.override = fields.override ?? false;

View File

@@ -1,17 +1,14 @@
const { z } = require('zod');
const path = require('path');
const OpenAI = require('openai');
const fetch = require('node-fetch');
const { v4: uuidv4 } = require('uuid');
const { Tool } = require('@langchain/core/tools');
const { HttpsProxyAgent } = require('https-proxy-agent');
const { FileContext, ContentTypes } = require('librechat-data-provider');
const { FileContext } = require('librechat-data-provider');
const { getImageBasename } = require('~/server/services/Files/images');
const extractBaseURL = require('~/utils/extractBaseURL');
const { logger } = require('~/config');
const displayMessage =
"DALL-E displayed an image. All generated images are already plainly visible, so don't repeat the descriptions in detail. Do not list download links as they are available in the UI already. The user may download the images by clicking on them, but do not mention anything about downloading to the user.";
class DALLE3 extends Tool {
constructor(fields = {}) {
super();
@@ -117,7 +114,10 @@ class DALLE3 extends Tool {
if (this.isAgent === true && typeof value === 'string') {
return [value, {}];
} else if (this.isAgent === true && typeof value === 'object') {
return [displayMessage, value];
return [
'DALL-E displayed an image. All generated images are already plainly visible, so don\'t repeat the descriptions in detail. Do not list download links as they are available in the UI already. The user may download the images by clicking on them, but do not mention anything about downloading to the user.',
value,
];
}
return value;
@@ -160,32 +160,6 @@ Error Message: ${error.message}`);
);
}
if (this.isAgent) {
let fetchOptions = {};
if (process.env.PROXY) {
fetchOptions.agent = new HttpsProxyAgent(process.env.PROXY);
}
const imageResponse = await fetch(theImageUrl, fetchOptions);
const arrayBuffer = await imageResponse.arrayBuffer();
const base64 = Buffer.from(arrayBuffer).toString('base64');
const content = [
{
type: ContentTypes.IMAGE_URL,
image_url: {
url: `data:image/png;base64,${base64}`,
},
},
];
const response = [
{
type: ContentTypes.TEXT,
text: displayMessage,
},
];
return [response, { content }];
}
const imageBasename = getImageBasename(theImageUrl);
const imageExt = path.extname(imageBasename);

View File

@@ -1,554 +0,0 @@
const { z } = require('zod');
const axios = require('axios');
const fetch = require('node-fetch');
const { v4: uuidv4 } = require('uuid');
const { Tool } = require('@langchain/core/tools');
const { HttpsProxyAgent } = require('https-proxy-agent');
const { FileContext, ContentTypes } = require('librechat-data-provider');
const { logger } = require('~/config');
const displayMessage =
"Flux displayed an image. All generated images are already plainly visible, so don't repeat the descriptions in detail. Do not list download links as they are available in the UI already. The user may download the images by clicking on them, but do not mention anything about downloading to the user.";
/**
* FluxAPI - A tool for generating high-quality images from text prompts using the Flux API.
* Each call generates one image. If multiple images are needed, make multiple consecutive calls with the same or varied prompts.
*/
class FluxAPI extends Tool {
// Pricing constants in USD per image
static PRICING = {
FLUX_PRO_1_1_ULTRA: -0.06, // /v1/flux-pro-1.1-ultra
FLUX_PRO_1_1: -0.04, // /v1/flux-pro-1.1
FLUX_PRO: -0.05, // /v1/flux-pro
FLUX_DEV: -0.025, // /v1/flux-dev
FLUX_PRO_FINETUNED: -0.06, // /v1/flux-pro-finetuned
FLUX_PRO_1_1_ULTRA_FINETUNED: -0.07, // /v1/flux-pro-1.1-ultra-finetuned
};
constructor(fields = {}) {
super();
/** @type {boolean} Used to initialize the Tool without necessary variables. */
this.override = fields.override ?? false;
this.userId = fields.userId;
this.fileStrategy = fields.fileStrategy;
/** @type {boolean} **/
this.isAgent = fields.isAgent;
this.returnMetadata = fields.returnMetadata ?? false;
if (fields.processFileURL) {
/** @type {processFileURL} Necessary for output to contain all image metadata. */
this.processFileURL = fields.processFileURL.bind(this);
}
this.apiKey = fields.FLUX_API_KEY || this.getApiKey();
this.name = 'flux';
this.description =
'Use Flux to generate images from text descriptions. This tool can generate images and list available finetunes. Each generate call creates one image. For multiple images, make multiple consecutive calls.';
this.description_for_model = `// Transform any image description into a detailed, high-quality prompt. Never submit a prompt under 3 sentences. Follow these core rules:
// 1. ALWAYS enhance basic prompts into 5-10 detailed sentences (e.g., "a cat" becomes: "A close-up photo of a sleek Siamese cat with piercing blue eyes. The cat sits elegantly on a vintage leather armchair, its tail curled gracefully around its paws. Warm afternoon sunlight streams through a nearby window, casting gentle shadows across its face and highlighting the subtle variations in its cream and chocolate-point fur. The background is softly blurred, creating a shallow depth of field that draws attention to the cat's expressive features. The overall composition has a peaceful, contemplative mood with a professional photography style.")
// 2. Each prompt MUST be 3-6 descriptive sentences minimum, focusing on visual elements: lighting, composition, mood, and style
// Use action: 'list_finetunes' to see available custom models. When using finetunes, use endpoint: '/v1/flux-pro-finetuned' (default) or '/v1/flux-pro-1.1-ultra-finetuned' for higher quality and aspect ratio.`;
// Add base URL from environment variable with fallback
this.baseUrl = process.env.FLUX_API_BASE_URL || 'https://api.us1.bfl.ai';
// Define the schema for structured input
this.schema = z.object({
action: z
.enum(['generate', 'list_finetunes', 'generate_finetuned'])
.default('generate')
.describe(
'Action to perform: "generate" for image generation, "generate_finetuned" for finetuned model generation, "list_finetunes" to get available custom models',
),
prompt: z
.string()
.optional()
.describe(
'Text prompt for image generation. Required when action is "generate". Not used for list_finetunes.',
),
width: z
.number()
.optional()
.describe(
'Width of the generated image in pixels. Must be a multiple of 32. Default is 1024.',
),
height: z
.number()
.optional()
.describe(
'Height of the generated image in pixels. Must be a multiple of 32. Default is 768.',
),
prompt_upsampling: z
.boolean()
.optional()
.default(false)
.describe('Whether to perform upsampling on the prompt.'),
steps: z
.number()
.int()
.optional()
.describe('Number of steps to run the model for, a number from 1 to 50. Default is 40.'),
seed: z.number().optional().describe('Optional seed for reproducibility.'),
safety_tolerance: z
.number()
.optional()
.default(6)
.describe(
'Tolerance level for input and output moderation. Between 0 and 6, 0 being most strict, 6 being least strict.',
),
endpoint: z
.enum([
'/v1/flux-pro-1.1',
'/v1/flux-pro',
'/v1/flux-dev',
'/v1/flux-pro-1.1-ultra',
'/v1/flux-pro-finetuned',
'/v1/flux-pro-1.1-ultra-finetuned',
])
.optional()
.default('/v1/flux-pro-1.1')
.describe('Endpoint to use for image generation.'),
raw: z
.boolean()
.optional()
.default(false)
.describe(
'Generate less processed, more natural-looking images. Only works for /v1/flux-pro-1.1-ultra.',
),
finetune_id: z.string().optional().describe('ID of the finetuned model to use'),
finetune_strength: z
.number()
.optional()
.default(1.1)
.describe('Strength of the finetuning effect (typically between 0.1 and 1.2)'),
guidance: z.number().optional().default(2.5).describe('Guidance scale for finetuned models'),
aspect_ratio: z
.string()
.optional()
.default('16:9')
.describe('Aspect ratio for ultra models (e.g., "16:9")'),
});
}
getAxiosConfig() {
const config = {};
if (process.env.PROXY) {
config.httpsAgent = new HttpsProxyAgent(process.env.PROXY);
}
return config;
}
/** @param {Object|string} value */
getDetails(value) {
if (typeof value === 'string') {
return value;
}
return JSON.stringify(value, null, 2);
}
getApiKey() {
const apiKey = process.env.FLUX_API_KEY || '';
if (!apiKey && !this.override) {
throw new Error('Missing FLUX_API_KEY environment variable.');
}
return apiKey;
}
wrapInMarkdown(imageUrl) {
const serverDomain = process.env.DOMAIN_SERVER || 'http://localhost:3080';
return `![generated image](${serverDomain}${imageUrl})`;
}
returnValue(value) {
if (this.isAgent === true && typeof value === 'string') {
return [value, {}];
} else if (this.isAgent === true && typeof value === 'object') {
if (Array.isArray(value)) {
return value;
}
return [displayMessage, value];
}
return value;
}
async _call(data) {
const { action = 'generate', ...imageData } = data;
// Use provided API key for this request if available, otherwise use default
const requestApiKey = this.apiKey || this.getApiKey();
// Handle list_finetunes action
if (action === 'list_finetunes') {
return this.getMyFinetunes(requestApiKey);
}
// Handle finetuned generation
if (action === 'generate_finetuned') {
return this.generateFinetunedImage(imageData, requestApiKey);
}
// For generate action, ensure prompt is provided
if (!imageData.prompt) {
throw new Error('Missing required field: prompt');
}
let payload = {
prompt: imageData.prompt,
prompt_upsampling: imageData.prompt_upsampling || false,
safety_tolerance: imageData.safety_tolerance || 6,
output_format: imageData.output_format || 'png',
};
// Add optional parameters if provided
if (imageData.width) {
payload.width = imageData.width;
}
if (imageData.height) {
payload.height = imageData.height;
}
if (imageData.steps) {
payload.steps = imageData.steps;
}
if (imageData.seed !== undefined) {
payload.seed = imageData.seed;
}
if (imageData.raw) {
payload.raw = imageData.raw;
}
const generateUrl = `${this.baseUrl}${imageData.endpoint || '/v1/flux-pro'}`;
const resultUrl = `${this.baseUrl}/v1/get_result`;
logger.debug('[FluxAPI] Generating image with payload:', payload);
logger.debug('[FluxAPI] Using endpoint:', generateUrl);
let taskResponse;
try {
taskResponse = await axios.post(generateUrl, payload, {
headers: {
'x-key': requestApiKey,
'Content-Type': 'application/json',
Accept: 'application/json',
},
...this.getAxiosConfig(),
});
} catch (error) {
const details = this.getDetails(error?.response?.data || error.message);
logger.error('[FluxAPI] Error while submitting task:', details);
return this.returnValue(
`Something went wrong when trying to generate the image. The Flux API may be unavailable:
Error Message: ${details}`,
);
}
const taskId = taskResponse.data.id;
// Polling for the result
let status = 'Pending';
let resultData = null;
while (status !== 'Ready' && status !== 'Error') {
try {
// Wait 2 seconds between polls
await new Promise((resolve) => setTimeout(resolve, 2000));
const resultResponse = await axios.get(resultUrl, {
headers: {
'x-key': requestApiKey,
Accept: 'application/json',
},
params: { id: taskId },
...this.getAxiosConfig(),
});
status = resultResponse.data.status;
if (status === 'Ready') {
resultData = resultResponse.data.result;
break;
} else if (status === 'Error') {
logger.error('[FluxAPI] Error in task:', resultResponse.data);
return this.returnValue('An error occurred during image generation.');
}
} catch (error) {
const details = this.getDetails(error?.response?.data || error.message);
logger.error('[FluxAPI] Error while getting result:', details);
return this.returnValue('An error occurred while retrieving the image.');
}
}
// If no result data
if (!resultData || !resultData.sample) {
logger.error('[FluxAPI] No image data received from API. Response:', resultData);
return this.returnValue('No image data received from Flux API.');
}
// Try saving the image locally
const imageUrl = resultData.sample;
const imageName = `img-${uuidv4()}.png`;
if (this.isAgent) {
try {
// Fetch the image and convert to base64
const fetchOptions = {};
if (process.env.PROXY) {
fetchOptions.agent = new HttpsProxyAgent(process.env.PROXY);
}
const imageResponse = await fetch(imageUrl, fetchOptions);
const arrayBuffer = await imageResponse.arrayBuffer();
const base64 = Buffer.from(arrayBuffer).toString('base64');
const content = [
{
type: ContentTypes.IMAGE_URL,
image_url: {
url: `data:image/png;base64,${base64}`,
},
},
];
const response = [
{
type: ContentTypes.TEXT,
text: displayMessage,
},
];
return [response, { content }];
} catch (error) {
logger.error('Error processing image for agent:', error);
return this.returnValue(`Failed to process the image. ${error.message}`);
}
}
try {
logger.debug('[FluxAPI] Saving image:', imageUrl);
const result = await this.processFileURL({
fileStrategy: this.fileStrategy,
userId: this.userId,
URL: imageUrl,
fileName: imageName,
basePath: 'images',
context: FileContext.image_generation,
});
logger.debug('[FluxAPI] Image saved to path:', result.filepath);
// Calculate cost based on endpoint
/**
* TODO: Cost handling
const endpoint = imageData.endpoint || '/v1/flux-pro';
const endpointKey = Object.entries(FluxAPI.PRICING).find(([key, _]) =>
endpoint.includes(key.toLowerCase().replace(/_/g, '-')),
)?.[0];
const cost = FluxAPI.PRICING[endpointKey] || 0;
*/
this.result = this.returnMetadata ? result : this.wrapInMarkdown(result.filepath);
return this.returnValue(this.result);
} catch (error) {
const details = this.getDetails(error?.message ?? 'No additional error details.');
logger.error('Error while saving the image:', details);
return this.returnValue(`Failed to save the image locally. ${details}`);
}
}
async getMyFinetunes(apiKey = null) {
const finetunesUrl = `${this.baseUrl}/v1/my_finetunes`;
const detailsUrl = `${this.baseUrl}/v1/finetune_details`;
try {
const headers = {
'x-key': apiKey || this.getApiKey(),
'Content-Type': 'application/json',
Accept: 'application/json',
};
// Get list of finetunes
const response = await axios.get(finetunesUrl, {
headers,
...this.getAxiosConfig(),
});
const finetunes = response.data.finetunes;
// Fetch details for each finetune
const finetuneDetails = await Promise.all(
finetunes.map(async (finetuneId) => {
try {
const detailResponse = await axios.get(`${detailsUrl}?finetune_id=${finetuneId}`, {
headers,
...this.getAxiosConfig(),
});
return {
id: finetuneId,
...detailResponse.data,
};
} catch (error) {
logger.error(`[FluxAPI] Error fetching details for finetune ${finetuneId}:`, error);
return {
id: finetuneId,
error: 'Failed to fetch details',
};
}
}),
);
if (this.isAgent) {
const formattedDetails = JSON.stringify(finetuneDetails, null, 2);
return [`Here are the available finetunes:\n${formattedDetails}`, null];
}
return JSON.stringify(finetuneDetails);
} catch (error) {
const details = this.getDetails(error?.response?.data || error.message);
logger.error('[FluxAPI] Error while getting finetunes:', details);
const errorMsg = `Failed to get finetunes: ${details}`;
return this.isAgent ? this.returnValue([errorMsg, {}]) : new Error(errorMsg);
}
}
async generateFinetunedImage(imageData, requestApiKey) {
if (!imageData.prompt) {
throw new Error('Missing required field: prompt');
}
if (!imageData.finetune_id) {
throw new Error(
'Missing required field: finetune_id for finetuned generation. Please supply a finetune_id!',
);
}
// Validate endpoint is appropriate for finetuned generation
const validFinetunedEndpoints = ['/v1/flux-pro-finetuned', '/v1/flux-pro-1.1-ultra-finetuned'];
const endpoint = imageData.endpoint || '/v1/flux-pro-finetuned';
if (!validFinetunedEndpoints.includes(endpoint)) {
throw new Error(
`Invalid endpoint for finetuned generation. Must be one of: ${validFinetunedEndpoints.join(', ')}`,
);
}
let payload = {
prompt: imageData.prompt,
prompt_upsampling: imageData.prompt_upsampling || false,
safety_tolerance: imageData.safety_tolerance || 6,
output_format: imageData.output_format || 'png',
finetune_id: imageData.finetune_id,
finetune_strength: imageData.finetune_strength || 1.0,
guidance: imageData.guidance || 2.5,
};
// Add optional parameters if provided
if (imageData.width) {
payload.width = imageData.width;
}
if (imageData.height) {
payload.height = imageData.height;
}
if (imageData.steps) {
payload.steps = imageData.steps;
}
if (imageData.seed !== undefined) {
payload.seed = imageData.seed;
}
if (imageData.raw) {
payload.raw = imageData.raw;
}
const generateUrl = `${this.baseUrl}${endpoint}`;
const resultUrl = `${this.baseUrl}/v1/get_result`;
logger.debug('[FluxAPI] Generating finetuned image with payload:', payload);
logger.debug('[FluxAPI] Using endpoint:', generateUrl);
let taskResponse;
try {
taskResponse = await axios.post(generateUrl, payload, {
headers: {
'x-key': requestApiKey,
'Content-Type': 'application/json',
Accept: 'application/json',
},
...this.getAxiosConfig(),
});
} catch (error) {
const details = this.getDetails(error?.response?.data || error.message);
logger.error('[FluxAPI] Error while submitting finetuned task:', details);
return this.returnValue(
`Something went wrong when trying to generate the finetuned image. The Flux API may be unavailable:
Error Message: ${details}`,
);
}
const taskId = taskResponse.data.id;
// Polling for the result
let status = 'Pending';
let resultData = null;
while (status !== 'Ready' && status !== 'Error') {
try {
// Wait 2 seconds between polls
await new Promise((resolve) => setTimeout(resolve, 2000));
const resultResponse = await axios.get(resultUrl, {
headers: {
'x-key': requestApiKey,
Accept: 'application/json',
},
params: { id: taskId },
...this.getAxiosConfig(),
});
status = resultResponse.data.status;
if (status === 'Ready') {
resultData = resultResponse.data.result;
break;
} else if (status === 'Error') {
logger.error('[FluxAPI] Error in finetuned task:', resultResponse.data);
return this.returnValue('An error occurred during finetuned image generation.');
}
} catch (error) {
const details = this.getDetails(error?.response?.data || error.message);
logger.error('[FluxAPI] Error while getting finetuned result:', details);
return this.returnValue('An error occurred while retrieving the finetuned image.');
}
}
// If no result data
if (!resultData || !resultData.sample) {
logger.error('[FluxAPI] No image data received from API. Response:', resultData);
return this.returnValue('No image data received from Flux API.');
}
// Try saving the image locally
const imageUrl = resultData.sample;
const imageName = `img-${uuidv4()}.png`;
try {
logger.debug('[FluxAPI] Saving finetuned image:', imageUrl);
const result = await this.processFileURL({
fileStrategy: this.fileStrategy,
userId: this.userId,
URL: imageUrl,
fileName: imageName,
basePath: 'images',
context: FileContext.image_generation,
});
logger.debug('[FluxAPI] Finetuned image saved to path:', result.filepath);
// Calculate cost based on endpoint
const endpointKey = endpoint.includes('ultra')
? 'FLUX_PRO_1_1_ULTRA_FINETUNED'
: 'FLUX_PRO_FINETUNED';
const cost = FluxAPI.PRICING[endpointKey] || 0;
// Return the result based on returnMetadata flag
this.result = this.returnMetadata ? result : this.wrapInMarkdown(result.filepath);
return this.returnValue(this.result);
} catch (error) {
const details = this.getDetails(error?.message ?? 'No additional error details.');
logger.error('Error while saving the finetuned image:', details);
return this.returnValue(`Failed to save the finetuned image locally. ${details}`);
}
}
}
module.exports = FluxAPI;

View File

@@ -1,518 +0,0 @@
const { z } = require('zod');
const axios = require('axios');
const { v4 } = require('uuid');
const OpenAI = require('openai');
const FormData = require('form-data');
const { tool } = require('@langchain/core/tools');
const { HttpsProxyAgent } = require('https-proxy-agent');
const { ContentTypes, EImageOutputType } = require('librechat-data-provider');
const { getStrategyFunctions } = require('~/server/services/Files/strategies');
const { logAxiosError, extractBaseURL } = require('~/utils');
const { getFiles } = require('~/models/File');
const { logger } = require('~/config');
/** Default descriptions for image generation tool */
const DEFAULT_IMAGE_GEN_DESCRIPTION = `
Generates high-quality, original images based solely on text, not using any uploaded reference images.
When to use \`image_gen_oai\`:
- To create entirely new images from detailed text descriptions that do NOT reference any image files.
When NOT to use \`image_gen_oai\`:
- If the user has uploaded any images and requests modifications, enhancements, or remixing based on those uploads → use \`image_edit_oai\` instead.
Generated image IDs will be returned in the response, so you can refer to them in future requests made to \`image_edit_oai\`.
`.trim();
/** Default description for image editing tool */
const DEFAULT_IMAGE_EDIT_DESCRIPTION =
`Generates high-quality, original images based on text and one or more uploaded/referenced images.
When to use \`image_edit_oai\`:
- The user wants to modify, extend, or remix one **or more** uploaded images, either:
- Previously generated, or in the current request (both to be included in the \`image_ids\` array).
- Always when the user refers to uploaded images for editing, enhancement, remixing, style transfer, or combining elements.
- Any current or existing images are to be used as visual guides.
- If there are any files in the current request, they are more likely than not expected as references for image edit requests.
When NOT to use \`image_edit_oai\`:
- Brand-new generations that do not rely on an existing image → use \`image_gen_oai\` instead.
Both generated and referenced image IDs will be returned in the response, so you can refer to them in future requests made to \`image_edit_oai\`.
`.trim();
/** Default prompt descriptions */
const DEFAULT_IMAGE_GEN_PROMPT_DESCRIPTION = `Describe the image you want in detail.
Be highly specific—break your idea into layers:
(1) main concept and subject,
(2) composition and position,
(3) lighting and mood,
(4) style, medium, or camera details,
(5) important features (age, expression, clothing, etc.),
(6) background.
Use positive, descriptive language and specify what should be included, not what to avoid.
List number and characteristics of people/objects, and mention style/technical requirements (e.g., "DSLR photo, 85mm lens, golden hour").
Do not reference any uploaded images—use for new image creation from text only.`;
const DEFAULT_IMAGE_EDIT_PROMPT_DESCRIPTION = `Describe the changes, enhancements, or new ideas to apply to the uploaded image(s).
Be highly specific—break your request into layers:
(1) main concept or transformation,
(2) specific edits/replacements or composition guidance,
(3) desired style, mood, or technique,
(4) features/items to keep, change, or add (such as objects, people, clothing, lighting, etc.).
Use positive, descriptive language and clarify what should be included or changed, not what to avoid.
Always base this prompt on the most recently uploaded reference images.`;
const displayMessage =
"The tool displayed an image. All generated images are already plainly visible, so don't repeat the descriptions in detail. Do not list download links as they are available in the UI already. The user may download the images by clicking on them, but do not mention anything about downloading to the user.";
/**
* Replaces unwanted characters from the input string
* @param {string} inputString - The input string to process
* @returns {string} - The processed string
*/
function replaceUnwantedChars(inputString) {
return inputString
.replace(/\r\n|\r|\n/g, ' ')
.replace(/"/g, '')
.trim();
}
function returnValue(value) {
if (typeof value === 'string') {
return [value, {}];
} else if (typeof value === 'object') {
if (Array.isArray(value)) {
return value;
}
return [displayMessage, value];
}
return value;
}
const getImageGenDescription = () => {
return process.env.IMAGE_GEN_OAI_DESCRIPTION || DEFAULT_IMAGE_GEN_DESCRIPTION;
};
const getImageEditDescription = () => {
return process.env.IMAGE_EDIT_OAI_DESCRIPTION || DEFAULT_IMAGE_EDIT_DESCRIPTION;
};
const getImageGenPromptDescription = () => {
return process.env.IMAGE_GEN_OAI_PROMPT_DESCRIPTION || DEFAULT_IMAGE_GEN_PROMPT_DESCRIPTION;
};
const getImageEditPromptDescription = () => {
return process.env.IMAGE_EDIT_OAI_PROMPT_DESCRIPTION || DEFAULT_IMAGE_EDIT_PROMPT_DESCRIPTION;
};
/**
* Creates OpenAI Image tools (generation and editing)
* @param {Object} fields - Configuration fields
* @param {ServerRequest} fields.req - Whether the tool is being used in an agent context
* @param {boolean} fields.isAgent - Whether the tool is being used in an agent context
* @param {string} fields.IMAGE_GEN_OAI_API_KEY - The OpenAI API key
* @param {boolean} [fields.override] - Whether to override the API key check, necessary for app initialization
* @param {MongoFile[]} [fields.imageFiles] - The images to be used for editing
* @returns {Array} - Array of image tools
*/
function createOpenAIImageTools(fields = {}) {
/** @type {boolean} Used to initialize the Tool without necessary variables. */
const override = fields.override ?? false;
/** @type {boolean} */
if (!override && !fields.isAgent) {
throw new Error('This tool is only available for agents.');
}
const { req } = fields;
const imageOutputType = req?.app.locals.imageOutputType || EImageOutputType.PNG;
const appFileStrategy = req?.app.locals.fileStrategy;
const getApiKey = () => {
const apiKey = process.env.IMAGE_GEN_OAI_API_KEY ?? '';
if (!apiKey && !override) {
throw new Error('Missing IMAGE_GEN_OAI_API_KEY environment variable.');
}
return apiKey;
};
let apiKey = fields.IMAGE_GEN_OAI_API_KEY ?? getApiKey();
const closureConfig = { apiKey };
let baseURL = 'https://api.openai.com/v1/';
if (!override && process.env.IMAGE_GEN_OAI_BASEURL) {
baseURL = extractBaseURL(process.env.IMAGE_GEN_OAI_BASEURL);
closureConfig.baseURL = baseURL;
}
// Note: Azure may not yet support the latest image generation models
if (
!override &&
process.env.IMAGE_GEN_OAI_AZURE_API_VERSION &&
process.env.IMAGE_GEN_OAI_BASEURL
) {
baseURL = process.env.IMAGE_GEN_OAI_BASEURL;
closureConfig.baseURL = baseURL;
closureConfig.defaultQuery = { 'api-version': process.env.IMAGE_GEN_OAI_AZURE_API_VERSION };
closureConfig.defaultHeaders = {
'api-key': process.env.IMAGE_GEN_OAI_API_KEY,
'Content-Type': 'application/json',
};
closureConfig.apiKey = process.env.IMAGE_GEN_OAI_API_KEY;
}
const imageFiles = fields.imageFiles ?? [];
/**
* Image Generation Tool
*/
const imageGenTool = tool(
async (
{
prompt,
background = 'auto',
n = 1,
output_compression = 100,
quality = 'auto',
size = 'auto',
},
runnableConfig,
) => {
if (!prompt) {
throw new Error('Missing required field: prompt');
}
const clientConfig = { ...closureConfig };
if (process.env.PROXY) {
clientConfig.httpAgent = new HttpsProxyAgent(process.env.PROXY);
}
/** @type {OpenAI} */
const openai = new OpenAI(clientConfig);
let output_format = imageOutputType;
if (
background === 'transparent' &&
output_format !== EImageOutputType.PNG &&
output_format !== EImageOutputType.WEBP
) {
logger.warn(
'[ImageGenOAI] Transparent background requires PNG or WebP format, defaulting to PNG',
);
output_format = EImageOutputType.PNG;
}
let resp;
try {
const derivedSignal = runnableConfig?.signal
? AbortSignal.any([runnableConfig.signal])
: undefined;
resp = await openai.images.generate(
{
model: 'gpt-image-1',
prompt: replaceUnwantedChars(prompt),
n: Math.min(Math.max(1, n), 10),
background,
output_format,
output_compression:
output_format === EImageOutputType.WEBP || output_format === EImageOutputType.JPEG
? output_compression
: undefined,
quality,
size,
},
{
signal: derivedSignal,
},
);
} catch (error) {
const message = '[image_gen_oai] Problem generating the image:';
logAxiosError({ error, message });
return returnValue(`Something went wrong when trying to generate the image. The OpenAI API may be unavailable:
Error Message: ${error.message}`);
}
if (!resp) {
return returnValue(
'Something went wrong when trying to generate the image. The OpenAI API may be unavailable',
);
}
// For gpt-image-1, the response contains base64-encoded images
// TODO: handle cost in `resp.usage`
const base64Image = resp.data[0].b64_json;
if (!base64Image) {
return returnValue(
'No image data returned from OpenAI API. There may be a problem with the API or your configuration.',
);
}
const content = [
{
type: ContentTypes.IMAGE_URL,
image_url: {
url: `data:image/${output_format};base64,${base64Image}`,
},
},
];
const file_ids = [v4()];
const response = [
{
type: ContentTypes.TEXT,
text: displayMessage + `\n\ngenerated_image_id: "${file_ids[0]}"`,
},
];
return [response, { content, file_ids }];
},
{
name: 'image_gen_oai',
description: getImageGenDescription(),
schema: z.object({
prompt: z.string().max(32000).describe(getImageGenPromptDescription()),
background: z
.enum(['transparent', 'opaque', 'auto'])
.optional()
.describe(
'Sets transparency for the background. Must be one of transparent, opaque or auto (default). When transparent, the output format should be png or webp.',
),
/*
n: z
.number()
.int()
.min(1)
.max(10)
.optional()
.describe('The number of images to generate. Must be between 1 and 10.'),
output_compression: z
.number()
.int()
.min(0)
.max(100)
.optional()
.describe('The compression level (0-100%) for webp or jpeg formats. Defaults to 100.'),
*/
quality: z
.enum(['auto', 'high', 'medium', 'low'])
.optional()
.describe('The quality of the image. One of auto (default), high, medium, or low.'),
size: z
.enum(['auto', '1024x1024', '1536x1024', '1024x1536'])
.optional()
.describe(
'The size of the generated image. One of 1024x1024, 1536x1024 (landscape), 1024x1536 (portrait), or auto (default).',
),
}),
responseFormat: 'content_and_artifact',
},
);
/**
* Image Editing Tool
*/
const imageEditTool = tool(
async ({ prompt, image_ids, quality = 'auto', size = 'auto' }, runnableConfig) => {
if (!prompt) {
throw new Error('Missing required field: prompt');
}
const clientConfig = { ...closureConfig };
if (process.env.PROXY) {
clientConfig.httpAgent = new HttpsProxyAgent(process.env.PROXY);
}
const formData = new FormData();
formData.append('model', 'gpt-image-1');
formData.append('prompt', replaceUnwantedChars(prompt));
// TODO: `mask` support
// TODO: more than 1 image support
// formData.append('n', n.toString());
formData.append('quality', quality);
formData.append('size', size);
/** @type {Record<FileSources, undefined | NodeStreamDownloader<File>>} */
const streamMethods = {};
const requestFilesMap = Object.fromEntries(imageFiles.map((f) => [f.file_id, { ...f }]));
const orderedFiles = new Array(image_ids.length);
const idsToFetch = [];
const indexOfMissing = Object.create(null);
for (let i = 0; i < image_ids.length; i++) {
const id = image_ids[i];
const file = requestFilesMap[id];
if (file) {
orderedFiles[i] = file;
} else {
idsToFetch.push(id);
indexOfMissing[id] = i;
}
}
if (idsToFetch.length) {
const fetchedFiles = await getFiles(
{
user: req.user.id,
file_id: { $in: idsToFetch },
height: { $exists: true },
width: { $exists: true },
},
{},
{},
);
for (const file of fetchedFiles) {
requestFilesMap[file.file_id] = file;
orderedFiles[indexOfMissing[file.file_id]] = file;
}
}
for (const imageFile of orderedFiles) {
if (!imageFile) {
continue;
}
/** @type {NodeStream<File>} */
let stream;
/** @type {NodeStreamDownloader<File>} */
let getDownloadStream;
const source = imageFile.source || appFileStrategy;
if (!source) {
throw new Error('No source found for image file');
}
if (streamMethods[source]) {
getDownloadStream = streamMethods[source];
} else {
({ getDownloadStream } = getStrategyFunctions(source));
streamMethods[source] = getDownloadStream;
}
if (!getDownloadStream) {
throw new Error(`No download stream method found for source: ${source}`);
}
stream = await getDownloadStream(req, imageFile.filepath);
if (!stream) {
throw new Error('Failed to get download stream for image file');
}
formData.append('image[]', stream, {
filename: imageFile.filename,
contentType: imageFile.type,
});
}
/** @type {import('axios').RawAxiosHeaders} */
let headers = {
...formData.getHeaders(),
};
if (process.env.IMAGE_GEN_OAI_AZURE_API_VERSION && process.env.IMAGE_GEN_OAI_BASEURL) {
headers['api-key'] = apiKey;
} else {
headers['Authorization'] = `Bearer ${apiKey}`;
}
try {
const derivedSignal = runnableConfig?.signal
? AbortSignal.any([runnableConfig.signal])
: undefined;
/** @type {import('axios').AxiosRequestConfig} */
const axiosConfig = {
headers,
...clientConfig,
signal: derivedSignal,
baseURL,
};
if (process.env.IMAGE_GEN_OAI_AZURE_API_VERSION && process.env.IMAGE_GEN_OAI_BASEURL) {
axiosConfig.params = {
'api-version': process.env.IMAGE_GEN_OAI_AZURE_API_VERSION,
...axiosConfig.params,
};
}
const response = await axios.post('/images/edits', formData, axiosConfig);
if (!response.data || !response.data.data || !response.data.data.length) {
return returnValue(
'No image data returned from OpenAI API. There may be a problem with the API or your configuration.',
);
}
const base64Image = response.data.data[0].b64_json;
if (!base64Image) {
return returnValue(
'No image data returned from OpenAI API. There may be a problem with the API or your configuration.',
);
}
const content = [
{
type: ContentTypes.IMAGE_URL,
image_url: {
url: `data:image/${imageOutputType};base64,${base64Image}`,
},
},
];
const file_ids = [v4()];
const textResponse = [
{
type: ContentTypes.TEXT,
text:
displayMessage +
`\n\ngenerated_image_id: "${file_ids[0]}"\nreferenced_image_ids: ["${image_ids.join('", "')}"]`,
},
];
return [textResponse, { content, file_ids }];
} catch (error) {
const message = '[image_edit_oai] Problem editing the image:';
logAxiosError({ error, message });
return returnValue(`Something went wrong when trying to edit the image. The OpenAI API may be unavailable:
Error Message: ${error.message || 'Unknown error'}`);
}
},
{
name: 'image_edit_oai',
description: getImageEditDescription(),
schema: z.object({
image_ids: z
.array(z.string())
.min(1)
.describe(
`
IDs (image ID strings) of previously generated or uploaded images that should guide the edit.
Guidelines:
- If the user's request depends on any prior image(s), copy their image IDs into the \`image_ids\` array (in the same order the user refers to them).
- Never invent or hallucinate IDs; only use IDs that are still visible in the conversation context.
- If no earlier image is relevant, omit the field entirely.
`.trim(),
),
prompt: z.string().max(32000).describe(getImageEditPromptDescription()),
/*
n: z
.number()
.int()
.min(1)
.max(10)
.optional()
.describe('The number of images to generate. Must be between 1 and 10. Defaults to 1.'),
*/
quality: z
.enum(['auto', 'high', 'medium', 'low'])
.optional()
.describe(
'The quality of the image. One of auto (default), high, medium, or low. High/medium/low only supported for gpt-image-1.',
),
size: z
.enum(['auto', '1024x1024', '1536x1024', '1024x1536', '256x256', '512x512'])
.optional()
.describe(
'The size of the generated images. For gpt-image-1: auto (default), 1024x1024, 1536x1024, 1024x1536. For dall-e-2: 256x256, 512x512, 1024x1024.',
),
}),
responseFormat: 'content_and_artifact',
},
);
return [imageGenTool, imageEditTool];
}
module.exports = createOpenAIImageTools;

View File

@@ -232,7 +232,7 @@ class OpenWeather extends Tool {
if (['current_forecast', 'timestamp', 'daily_aggregation', 'overview'].includes(action)) {
if (typeof finalLat !== 'number' || typeof finalLon !== 'number') {
return "Error: lat and lon are required and must be numbers for this action (or specify 'city').";
return 'Error: lat and lon are required and must be numbers for this action (or specify \'city\').';
}
}
@@ -243,7 +243,7 @@ class OpenWeather extends Tool {
let dt;
if (action === 'timestamp') {
if (!date) {
return "Error: For timestamp action, a 'date' in YYYY-MM-DD format is required.";
return 'Error: For timestamp action, a \'date\' in YYYY-MM-DD format is required.';
}
dt = this.convertDateToUnix(date);
}

View File

@@ -6,13 +6,10 @@ const axios = require('axios');
const sharp = require('sharp');
const { v4: uuidv4 } = require('uuid');
const { Tool } = require('@langchain/core/tools');
const { FileContext, ContentTypes } = require('librechat-data-provider');
const { FileContext } = require('librechat-data-provider');
const paths = require('~/config/paths');
const { logger } = require('~/config');
const displayMessage =
"Stable Diffusion displayed an image. All generated images are already plainly visible, so don't repeat the descriptions in detail. Do not list download links as they are available in the UI already. The user may download the images by clicking on them, but do not mention anything about downloading to the user.";
class StableDiffusionAPI extends Tool {
constructor(fields) {
super();
@@ -24,8 +21,6 @@ class StableDiffusionAPI extends Tool {
this.override = fields.override ?? false;
/** @type {boolean} Necessary for output to contain all image metadata. */
this.returnMetadata = fields.returnMetadata ?? false;
/** @type {boolean} */
this.isAgent = fields.isAgent;
if (fields.uploadImageBuffer) {
/** @type {uploadImageBuffer} Necessary for output to contain all image metadata. */
this.uploadImageBuffer = fields.uploadImageBuffer.bind(this);
@@ -44,7 +39,7 @@ class StableDiffusionAPI extends Tool {
// "negative_prompt":"semi-realistic, cgi, 3d, render, sketch, cartoon, drawing, anime, out of frame, low quality, ugly, mutation, deformed"
// - Generate images only once per human query unless explicitly requested by the user`;
this.description =
"You can generate images using text with 'stable-diffusion'. This tool is exclusively for visual content.";
'You can generate images using text with \'stable-diffusion\'. This tool is exclusively for visual content.';
this.schema = z.object({
prompt: z
.string()
@@ -71,16 +66,6 @@ class StableDiffusionAPI extends Tool {
return `![generated image](/${imageUrl})`;
}
returnValue(value) {
if (this.isAgent === true && typeof value === 'string') {
return [value, {}];
} else if (this.isAgent === true && typeof value === 'object') {
return [displayMessage, value];
}
return value;
}
getServerURL() {
const url = process.env.SD_WEBUI_URL || '';
if (!url && !this.override) {
@@ -128,25 +113,6 @@ class StableDiffusionAPI extends Tool {
}
try {
if (this.isAgent) {
const content = [
{
type: ContentTypes.IMAGE_URL,
image_url: {
url: `data:image/png;base64,${image}`,
},
},
];
const response = [
{
type: ContentTypes.TEXT,
text: displayMessage,
},
];
return [response, { content }];
}
const buffer = Buffer.from(image.split(',', 1)[0], 'base64');
if (this.returnMetadata && this.uploadImageBuffer && this.req) {
const file = await this.uploadImageBuffer({
@@ -188,7 +154,7 @@ class StableDiffusionAPI extends Tool {
logger.error('[StableDiffusion] Error while saving the image:', error);
}
return this.returnValue(this.result);
return this.result;
}
}

View File

@@ -43,39 +43,9 @@ class TavilySearchResults extends Tool {
.boolean()
.optional()
.describe('Whether to include answers in the search results. Default is False.'),
include_raw_content: z
.boolean()
.optional()
.describe('Whether to include raw content in the search results. Default is False.'),
include_domains: z
.array(z.string())
.optional()
.describe('A list of domains to specifically include in the search results.'),
exclude_domains: z
.array(z.string())
.optional()
.describe('A list of domains to specifically exclude from the search results.'),
topic: z
.enum(['general', 'news', 'finance'])
.optional()
.describe(
'The category of the search. Use news ONLY if query SPECIFCALLY mentions the word "news".',
),
time_range: z
.enum(['day', 'week', 'month', 'year', 'd', 'w', 'm', 'y'])
.optional()
.describe('The time range back from the current date to filter results.'),
days: z
.number()
.min(1)
.optional()
.describe('Number of days back from the current date to include. Only if topic is news.'),
include_image_descriptions: z
.boolean()
.optional()
.describe(
'When include_images is true, also add a descriptive text for each image. Default is false.',
),
// include_raw_content: z.boolean().optional().describe('Whether to include raw content in the search results. Default is False.'),
// include_domains: z.array(z.string()).optional().describe('A list of domains to specifically include in the search results.'),
// exclude_domains: z.array(z.string()).optional().describe('A list of domains to specifically exclude from the search results.'),
});
}

View File

@@ -21,7 +21,7 @@ class TraversaalSearch extends Tool {
query: z
.string()
.describe(
"A properly written sentence to be interpreted by an AI to search the web according to the user's request.",
'A properly written sentence to be interpreted by an AI to search the web according to the user\'s request.',
),
});
@@ -38,6 +38,7 @@ class TraversaalSearch extends Tool {
return apiKey;
}
// eslint-disable-next-line no-unused-vars
async _call({ query }, _runManager) {
const body = {
query: [query],

View File

@@ -29,7 +29,7 @@ function parseTranscript(transcriptResponse) {
.map((entry) => entry.text.trim())
.filter((text) => text)
.join(' ')
.replaceAll('&amp;#39;', "'");
.replaceAll('&amp;#39;', '\'');
}
function createYouTubeTools(fields = {}) {

View File

@@ -0,0 +1,30 @@
const { loadSpecs } = require('./loadSpecs');
function transformSpec(input) {
return {
name: input.name_for_human,
pluginKey: input.name_for_model,
description: input.description_for_human,
icon: input?.logo_url ?? 'https://placehold.co/70x70.png',
// TODO: add support for authentication
isAuthRequired: 'false',
authConfig: [],
};
}
async function addOpenAPISpecs(availableTools) {
try {
const specs = (await loadSpecs({})).map(transformSpec);
if (specs.length > 0) {
return [...specs, ...availableTools];
}
return availableTools;
} catch (error) {
return availableTools;
}
}
module.exports = {
transformSpec,
addOpenAPISpecs,
};

View File

@@ -0,0 +1,76 @@
const { addOpenAPISpecs, transformSpec } = require('./addOpenAPISpecs');
const { loadSpecs } = require('./loadSpecs');
const { createOpenAPIPlugin } = require('../dynamic/OpenAPIPlugin');
jest.mock('./loadSpecs');
jest.mock('../dynamic/OpenAPIPlugin');
describe('transformSpec', () => {
it('should transform input spec to a desired format', () => {
const input = {
name_for_human: 'Human Name',
name_for_model: 'Model Name',
description_for_human: 'Human Description',
logo_url: 'https://example.com/logo.png',
};
const expectedOutput = {
name: 'Human Name',
pluginKey: 'Model Name',
description: 'Human Description',
icon: 'https://example.com/logo.png',
isAuthRequired: 'false',
authConfig: [],
};
expect(transformSpec(input)).toEqual(expectedOutput);
});
it('should use default icon if logo_url is not provided', () => {
const input = {
name_for_human: 'Human Name',
name_for_model: 'Model Name',
description_for_human: 'Human Description',
};
const expectedOutput = {
name: 'Human Name',
pluginKey: 'Model Name',
description: 'Human Description',
icon: 'https://placehold.co/70x70.png',
isAuthRequired: 'false',
authConfig: [],
};
expect(transformSpec(input)).toEqual(expectedOutput);
});
});
describe('addOpenAPISpecs', () => {
it('should add specs to available tools', async () => {
const availableTools = ['Tool1', 'Tool2'];
const specs = [
{
name_for_human: 'Human Name',
name_for_model: 'Model Name',
description_for_human: 'Human Description',
logo_url: 'https://example.com/logo.png',
},
];
loadSpecs.mockResolvedValue(specs);
createOpenAPIPlugin.mockReturnValue('Plugin');
const result = await addOpenAPISpecs(availableTools);
expect(result).toEqual([...specs.map(transformSpec), ...availableTools]);
});
it('should return available tools if specs loading fails', async () => {
const availableTools = ['Tool1', 'Tool2'];
loadSpecs.mockRejectedValue(new Error('Failed to load specs'));
const result = await addOpenAPISpecs(availableTools);
expect(result).toEqual(availableTools);
});
});

View File

@@ -106,21 +106,18 @@ const createFileSearchTool = async ({ req, files, entity_id }) => {
const formattedResults = validResults
.flatMap((result) =>
result.data.map(([docInfo, distance]) => ({
result.data.map(([docInfo, relevanceScore]) => ({
filename: docInfo.metadata.source.split('/').pop(),
content: docInfo.page_content,
distance,
relevanceScore,
})),
)
// TODO: results should be sorted by relevance, not distance
.sort((a, b) => a.distance - b.distance)
// TODO: make this configurable
.slice(0, 10);
.sort((a, b) => b.relevanceScore - a.relevanceScore);
const formattedString = formattedResults
.map(
(result) =>
`File: ${result.filename}\nRelevance: ${1.0 - result.distance.toFixed(4)}\nContent: ${
`File: ${result.filename}\nRelevance: ${result.relevanceScore.toFixed(4)}\nContent: ${
result.content
}\n`,
)
@@ -135,7 +132,7 @@ const createFileSearchTool = async ({ req, files, entity_id }) => {
query: z
.string()
.describe(
"A natural language query to search for relevant information in the files. Be specific and use keywords related to the information you're looking for. The query will be used for semantic similarity matching against the file contents.",
'A natural language query to search for relevant information in the files. Be specific and use keywords related to the information you\'re looking for. The query will be used for semantic similarity matching against the file contents.',
),
}),
},

View File

@@ -1,13 +1,7 @@
const { Tools, Constants } = require('librechat-data-provider');
const { SerpAPI } = require('@langchain/community/tools/serpapi');
const { Calculator } = require('@langchain/community/tools/calculator');
const { EnvVar, createCodeExecutionTool, createSearchTool } = require('@librechat/agents');
const {
Tools,
Constants,
EToolResources,
loadWebSearchAuth,
replaceSpecialVars,
} = require('librechat-data-provider');
const { createCodeExecutionTool, EnvVar } = require('@librechat/agents');
const { getUserPluginAuthValue } = require('~/server/services/PluginService');
const {
availableTools,
@@ -16,7 +10,6 @@ const {
GoogleSearchAPI,
// Structured Tools
DALLE3,
FluxAPI,
OpenWeather,
StructuredSD,
StructuredACS,
@@ -24,12 +17,11 @@ const {
StructuredWolfram,
createYouTubeTools,
TavilySearchResults,
createOpenAIImageTools,
} = require('../');
const { primeFiles: primeCodeFiles } = require('~/server/services/Files/Code/process');
const { createFileSearchTool, primeFiles: primeSearchFiles } = require('./fileSearch');
const { loadAuthValues } = require('~/server/services/Tools/credentials');
const { createMCPTool } = require('~/server/services/MCP');
const { loadSpecs } = require('./loadSpecs');
const { logger } = require('~/config');
const mcpToolPattern = new RegExp(`^.+${Constants.mcp_delimiter}.+$`);
@@ -97,6 +89,45 @@ const validateTools = async (user, tools = []) => {
}
};
const loadAuthValues = async ({ userId, authFields, throwError = true }) => {
let authValues = {};
/**
* Finds the first non-empty value for the given authentication field, supporting alternate fields.
* @param {string[]} fields Array of strings representing the authentication fields. Supports alternate fields delimited by "||".
* @returns {Promise<{ authField: string, authValue: string} | null>} An object containing the authentication field and value, or null if not found.
*/
const findAuthValue = async (fields) => {
for (const field of fields) {
let value = process.env[field];
if (value) {
return { authField: field, authValue: value };
}
try {
value = await getUserPluginAuthValue(userId, field, throwError);
} catch (err) {
if (field === fields[fields.length - 1] && !value) {
throw err;
}
}
if (value) {
return { authField: field, authValue: value };
}
}
return null;
};
for (let authField of authFields) {
const fields = authField.split('||');
const result = await findAuthValue(fields);
if (result) {
authValues[result.authField] = result.authValue;
}
}
return authValues;
};
/** @typedef {typeof import('@langchain/core/tools').Tool} ToolConstructor */
/** @typedef {import('@langchain/core/tools').Tool} Tool */
@@ -129,7 +160,7 @@ const getAuthFields = (toolKey) => {
*
* @param {object} object
* @param {string} object.user
* @param {Pick<Agent, 'id' | 'provider' | 'model'>} [object.agent]
* @param {Agent} [object.agent]
* @param {string} [object.model]
* @param {EModelEndpoint} [object.endpoint]
* @param {LoadToolOptions} [object.options]
@@ -144,13 +175,13 @@ const loadTools = async ({
agent,
model,
endpoint,
useSpecs,
tools = [],
options = {},
functions = true,
returnMap = false,
}) => {
const toolConstructors = {
flux: FluxAPI,
calculator: Calculator,
google: GoogleSearchAPI,
open_weather: OpenWeather,
@@ -162,7 +193,7 @@ const loadTools = async ({
};
const customConstructors = {
serpapi: async (_toolContextMap) => {
serpapi: async () => {
const authFields = getAuthFields('serpapi');
let envVar = authFields[0] ?? '';
let apiKey = process.env[envVar];
@@ -175,40 +206,11 @@ const loadTools = async ({
gl: 'us',
});
},
youtube: async (_toolContextMap) => {
youtube: async () => {
const authFields = getAuthFields('youtube');
const authValues = await loadAuthValues({ userId: user, authFields });
return createYouTubeTools(authValues);
},
image_gen_oai: async (toolContextMap) => {
const authFields = getAuthFields('image_gen_oai');
const authValues = await loadAuthValues({ userId: user, authFields });
const imageFiles = options.tool_resources?.[EToolResources.image_edit]?.files ?? [];
let toolContext = '';
for (let i = 0; i < imageFiles.length; i++) {
const file = imageFiles[i];
if (!file) {
continue;
}
if (i === 0) {
toolContext =
'Image files provided in this request (their image IDs listed in order of appearance) available for image editing:';
}
toolContext += `\n\t- ${file.file_id}`;
if (i === imageFiles.length - 1) {
toolContext += `\n\nInclude any you need in the \`image_ids\` array when calling \`${EToolResources.image_edit}_oai\`. You may also include previously referenced or generated image IDs.`;
}
}
if (toolContext) {
toolContextMap.image_edit_oai = toolContext;
}
return createOpenAIImageTools({
...authValues,
isAgent: !!agent,
req: options.req,
imageFiles,
});
},
};
const requestedTools = {};
@@ -228,14 +230,13 @@ const loadTools = async ({
};
const toolOptions = {
flux: imageGenOptions,
serpapi: { location: 'Austin,Texas,United States', hl: 'en', gl: 'us' },
dalle: imageGenOptions,
'stable-diffusion': imageGenOptions,
serpapi: { location: 'Austin,Texas,United States', hl: 'en', gl: 'us' },
};
/** @type {Record<string, string>} */
const toolContextMap = {};
const remainingTools = [];
const appTools = options.req?.app?.locals?.availableTools ?? {};
for (const tool of tools) {
@@ -268,33 +269,6 @@ const loadTools = async ({
return createFileSearchTool({ req: options.req, files, entity_id: agent?.id });
};
continue;
} else if (tool === Tools.web_search) {
const webSearchConfig = options?.req?.app?.locals?.webSearch;
const result = await loadWebSearchAuth({
userId: user,
loadAuthValues,
webSearchConfig,
});
const { onSearchResults, onGetHighlights } = options?.[Tools.web_search] ?? {};
requestedTools[tool] = async () => {
toolContextMap[tool] = `# \`${tool}\`:
Current Date & Time: ${replaceSpecialVars({ text: '{{iso_datetime}}' })}
1. **Execute immediately without preface** when using \`${tool}\`.
2. **After the search, begin with a brief summary** that directly addresses the query without headers or explaining your process.
3. **Structure your response clearly** using Markdown formatting (Level 2 headers for sections, lists for multiple points, tables for comparisons).
4. **Cite sources properly** according to the citation anchor format, utilizing group anchors when appropriate.
5. **Tailor your approach to the query type** (academic, news, coding, etc.) while maintaining an expert, journalistic, unbiased tone.
6. **Provide comprehensive information** with specific details, examples, and as much relevant context as possible from search results.
7. **Avoid moralizing language.**
`.trim();
return createSearchTool({
...result.authResult,
onSearchResults,
onGetHighlights,
logger,
});
};
continue;
} else if (tool && appTools[tool] && mcpToolPattern.test(tool)) {
requestedTools[tool] = async () =>
createMCPTool({
@@ -307,7 +281,7 @@ Current Date & Time: ${replaceSpecialVars({ text: '{{iso_datetime}}' })}
}
if (customConstructors[tool]) {
requestedTools[tool] = async () => customConstructors[tool](toolContextMap);
requestedTools[tool] = customConstructors[tool];
continue;
}
@@ -322,6 +296,30 @@ Current Date & Time: ${replaceSpecialVars({ text: '{{iso_datetime}}' })}
requestedTools[tool] = toolInstance;
continue;
}
if (functions === true) {
remainingTools.push(tool);
}
}
let specs = null;
if (useSpecs === true && functions === true && remainingTools.length > 0) {
specs = await loadSpecs({
llm: model,
user,
message: options.message,
memory: options.memory,
signal: options.signal,
tools: remainingTools,
map: true,
verbose: false,
});
}
for (const tool of remainingTools) {
if (specs && specs[tool]) {
requestedTools[tool] = specs[tool];
}
}
if (returnMap) {
@@ -347,6 +345,7 @@ Current Date & Time: ${replaceSpecialVars({ text: '{{iso_datetime}}' })}
module.exports = {
loadToolWithAuth,
loadAuthValues,
validateTools,
loadTools,
};

View File

@@ -218,6 +218,7 @@ describe('Tool Handlers', () => {
try {
await loadTool2();
} catch (error) {
// eslint-disable-next-line jest/no-conditional-expect
expect(error).toBeDefined();
}
});

View File

@@ -1,8 +1,9 @@
const { validateTools, loadTools } = require('./handleTools');
const { validateTools, loadTools, loadAuthValues } = require('./handleTools');
const handleOpenAIErrors = require('./handleOpenAIErrors');
module.exports = {
handleOpenAIErrors,
loadAuthValues,
validateTools,
loadTools,
};

View File

@@ -0,0 +1,117 @@
const fs = require('fs');
const path = require('path');
const { z } = require('zod');
const { logger } = require('~/config');
const { createOpenAPIPlugin } = require('~/app/clients/tools/dynamic/OpenAPIPlugin');
// The minimum Manifest definition
const ManifestDefinition = z.object({
schema_version: z.string().optional(),
name_for_human: z.string(),
name_for_model: z.string(),
description_for_human: z.string(),
description_for_model: z.string(),
auth: z.object({}).optional(),
api: z.object({
// Spec URL or can be the filename of the OpenAPI spec yaml file,
// located in api\app\clients\tools\.well-known\openapi
url: z.string(),
type: z.string().optional(),
is_user_authenticated: z.boolean().nullable().optional(),
has_user_authentication: z.boolean().nullable().optional(),
}),
// use to override any params that the LLM will consistently get wrong
params: z.object({}).optional(),
logo_url: z.string().optional(),
contact_email: z.string().optional(),
legal_info_url: z.string().optional(),
});
function validateJson(json) {
try {
return ManifestDefinition.parse(json);
} catch (error) {
logger.debug('[validateJson] manifest parsing error', error);
return false;
}
}
// omit the LLM to return the well known jsons as objects
async function loadSpecs({ llm, user, message, tools = [], map = false, memory, signal }) {
const directoryPath = path.join(__dirname, '..', '.well-known');
let files = [];
for (let i = 0; i < tools.length; i++) {
const filePath = path.join(directoryPath, tools[i] + '.json');
try {
// If the access Promise is resolved, it means that the file exists
// Then we can add it to the files array
await fs.promises.access(filePath, fs.constants.F_OK);
files.push(tools[i] + '.json');
} catch (err) {
logger.error(`[loadSpecs] File ${tools[i] + '.json'} does not exist`, err);
}
}
if (files.length === 0) {
files = (await fs.promises.readdir(directoryPath)).filter(
(file) => path.extname(file) === '.json',
);
}
const validJsons = [];
const constructorMap = {};
logger.debug('[validateJson] files', files);
for (const file of files) {
if (path.extname(file) === '.json') {
const filePath = path.join(directoryPath, file);
const fileContent = await fs.promises.readFile(filePath, 'utf8');
const json = JSON.parse(fileContent);
if (!validateJson(json)) {
logger.debug('[validateJson] Invalid json', json);
continue;
}
if (llm && map) {
constructorMap[json.name_for_model] = async () =>
await createOpenAPIPlugin({
data: json,
llm,
message,
memory,
signal,
user,
});
continue;
}
if (llm) {
validJsons.push(createOpenAPIPlugin({ data: json, llm }));
continue;
}
validJsons.push(json);
}
}
if (map) {
return constructorMap;
}
const plugins = (await Promise.all(validJsons)).filter((plugin) => plugin);
// logger.debug('[validateJson] plugins', plugins);
// logger.debug(plugins[0].name);
return plugins;
}
module.exports = {
loadSpecs,
validateJson,
ManifestDefinition,
};

View File

@@ -0,0 +1,101 @@
const fs = require('fs');
const { validateJson, loadSpecs, ManifestDefinition } = require('./loadSpecs');
const { createOpenAPIPlugin } = require('../dynamic/OpenAPIPlugin');
jest.mock('../dynamic/OpenAPIPlugin');
describe('ManifestDefinition', () => {
it('should validate correct json', () => {
const json = {
name_for_human: 'Test',
name_for_model: 'Test',
description_for_human: 'Test',
description_for_model: 'Test',
api: {
url: 'http://test.com',
},
};
expect(() => ManifestDefinition.parse(json)).not.toThrow();
});
it('should not validate incorrect json', () => {
const json = {
name_for_human: 'Test',
name_for_model: 'Test',
description_for_human: 'Test',
description_for_model: 'Test',
api: {
url: 123, // incorrect type
},
};
expect(() => ManifestDefinition.parse(json)).toThrow();
});
});
describe('validateJson', () => {
it('should return parsed json if valid', () => {
const json = {
name_for_human: 'Test',
name_for_model: 'Test',
description_for_human: 'Test',
description_for_model: 'Test',
api: {
url: 'http://test.com',
},
};
expect(validateJson(json)).toEqual(json);
});
it('should return false if json is not valid', () => {
const json = {
name_for_human: 'Test',
name_for_model: 'Test',
description_for_human: 'Test',
description_for_model: 'Test',
api: {
url: 123, // incorrect type
},
};
expect(validateJson(json)).toEqual(false);
});
});
describe('loadSpecs', () => {
beforeEach(() => {
jest.spyOn(fs.promises, 'readdir').mockResolvedValue(['test.json']);
jest.spyOn(fs.promises, 'readFile').mockResolvedValue(
JSON.stringify({
name_for_human: 'Test',
name_for_model: 'Test',
description_for_human: 'Test',
description_for_model: 'Test',
api: {
url: 'http://test.com',
},
}),
);
createOpenAPIPlugin.mockResolvedValue({});
});
afterEach(() => {
jest.restoreAllMocks();
});
it('should return plugins', async () => {
const plugins = await loadSpecs({ llm: true, verbose: false });
expect(plugins).toHaveLength(1);
expect(createOpenAPIPlugin).toHaveBeenCalledTimes(1);
});
it('should return constructorMap if map is true', async () => {
const plugins = await loadSpecs({ llm: {}, map: true, verbose: false });
expect(plugins).toHaveProperty('Test');
expect(createOpenAPIPlugin).not.toHaveBeenCalled();
});
});

View File

@@ -1,8 +1,7 @@
const { Time, CacheKeys } = require('librechat-data-provider');
const { isEnabled } = require('~/server/utils');
const getLogStores = require('./getLogStores');
const { isEnabled } = require('../server/utils');
const { USE_REDIS, LIMIT_CONCURRENT_MESSAGES } = process.env ?? {};
const ttl = 1000 * 60 * 1;
/**
* Clear or decrement pending requests from the cache.
@@ -29,7 +28,7 @@ const clearPendingReq = async ({ userId, cache: _cache }) => {
return;
}
const namespace = CacheKeys.PENDING_REQ;
const namespace = 'pending_req';
const cache = _cache ?? getLogStores(namespace);
if (!cache) {
@@ -40,7 +39,7 @@ const clearPendingReq = async ({ userId, cache: _cache }) => {
const currentReq = +((await cache.get(key)) ?? 0);
if (currentReq && currentReq >= 1) {
await cache.set(key, currentReq - 1, Time.ONE_MINUTE);
await cache.set(key, currentReq - 1, ttl);
} else {
await cache.delete(key);
}

View File

@@ -1,4 +1,4 @@
const { Keyv } = require('keyv');
const Keyv = require('keyv');
const { CacheKeys, ViolationTypes, Time } = require('librechat-data-provider');
const { logFile, violationFile } = require('./keyvFiles');
const { math, isEnabled } = require('~/server/utils');
@@ -19,7 +19,7 @@ const createViolationInstance = (namespace) => {
// Serve cache from memory so no need to clear it on startup/exit
const pending_req = isRedisEnabled
? new Keyv({ store: keyvRedis })
: new Keyv({ namespace: CacheKeys.PENDING_REQ });
: new Keyv({ namespace: 'pending_req' });
const config = isRedisEnabled
? new Keyv({ store: keyvRedis })
@@ -37,10 +37,6 @@ const messages = isRedisEnabled
? new Keyv({ store: keyvRedis, ttl: Time.ONE_MINUTE })
: new Keyv({ namespace: CacheKeys.MESSAGES, ttl: Time.ONE_MINUTE });
const flows = isRedisEnabled
? new Keyv({ store: keyvRedis, ttl: Time.TWO_MINUTES })
: new Keyv({ namespace: CacheKeys.FLOWS, ttl: Time.ONE_MINUTE * 3 });
const tokenConfig = isRedisEnabled
? new Keyv({ store: keyvRedis, ttl: Time.THIRTY_MINUTES })
: new Keyv({ namespace: CacheKeys.TOKEN_CONFIG, ttl: Time.THIRTY_MINUTES });
@@ -49,10 +45,6 @@ const genTitle = isRedisEnabled
? new Keyv({ store: keyvRedis, ttl: Time.TWO_MINUTES })
: new Keyv({ namespace: CacheKeys.GEN_TITLE, ttl: Time.TWO_MINUTES });
const s3ExpiryInterval = isRedisEnabled
? new Keyv({ store: keyvRedis, ttl: Time.THIRTY_MINUTES })
: new Keyv({ namespace: CacheKeys.S3_EXPIRY_INTERVAL, ttl: Time.THIRTY_MINUTES });
const modelQueries = isEnabled(process.env.USE_REDIS)
? new Keyv({ store: keyvRedis })
: new Keyv({ namespace: CacheKeys.MODEL_QUERIES });
@@ -61,14 +53,10 @@ const abortKeys = isRedisEnabled
? new Keyv({ store: keyvRedis })
: new Keyv({ namespace: CacheKeys.ABORT_KEYS, ttl: Time.TEN_MINUTES });
const openIdExchangedTokensCache = isRedisEnabled
? new Keyv({ store: keyvRedis, ttl: Time.TEN_MINUTES })
: new Keyv({ namespace: CacheKeys.OPENID_EXCHANGED_TOKENS, ttl: Time.TEN_MINUTES });
const namespaces = {
[CacheKeys.ROLES]: roles,
[CacheKeys.CONFIG_STORE]: config,
[CacheKeys.PENDING_REQ]: pending_req,
pending_req,
[ViolationTypes.BAN]: new Keyv({ store: keyvMongo, namespace: CacheKeys.BANS, ttl: duration }),
[CacheKeys.ENCODED_DOMAINS]: new Keyv({
store: keyvMongo,
@@ -97,12 +85,9 @@ const namespaces = {
[CacheKeys.ABORT_KEYS]: abortKeys,
[CacheKeys.TOKEN_CONFIG]: tokenConfig,
[CacheKeys.GEN_TITLE]: genTitle,
[CacheKeys.S3_EXPIRY_INTERVAL]: s3ExpiryInterval,
[CacheKeys.MODEL_QUERIES]: modelQueries,
[CacheKeys.AUDIO_RUNS]: audioRuns,
[CacheKeys.MESSAGES]: messages,
[CacheKeys.FLOWS]: flows,
[CacheKeys.OPENID_EXCHANGED_TOKENS]: openIdExchangedTokensCache,
};
/**

View File

@@ -1,92 +0,0 @@
const fs = require('fs');
const Redis = require('ioredis');
const { isEnabled } = require('~/server/utils');
const logger = require('~/config/winston');
const { REDIS_URI, USE_REDIS, USE_REDIS_CLUSTER, REDIS_CA, REDIS_MAX_LISTENERS } = process.env;
/** @type {import('ioredis').Redis | import('ioredis').Cluster} */
let ioredisClient;
const redis_max_listeners = Number(REDIS_MAX_LISTENERS) || 40;
function mapURI(uri) {
const regex =
/^(?:(?<scheme>\w+):\/\/)?(?:(?<user>[^:@]+)(?::(?<password>[^@]+))?@)?(?<host>[\w.-]+)(?::(?<port>\d{1,5}))?$/;
const match = uri.match(regex);
if (match) {
const { scheme, user, password, host, port } = match.groups;
return {
scheme: scheme || 'none',
user: user || null,
password: password || null,
host: host || null,
port: port || null,
};
} else {
const parts = uri.split(':');
if (parts.length === 2) {
return {
scheme: 'none',
user: null,
password: null,
host: parts[0],
port: parts[1],
};
}
return {
scheme: 'none',
user: null,
password: null,
host: uri,
port: null,
};
}
}
if (REDIS_URI && isEnabled(USE_REDIS)) {
let redisOptions = null;
if (REDIS_CA) {
const ca = fs.readFileSync(REDIS_CA);
redisOptions = { tls: { ca } };
}
if (isEnabled(USE_REDIS_CLUSTER)) {
const hosts = REDIS_URI.split(',').map((item) => {
var value = mapURI(item);
return {
host: value.host,
port: value.port,
};
});
ioredisClient = new Redis.Cluster(hosts, { redisOptions });
} else {
ioredisClient = new Redis(REDIS_URI, redisOptions);
}
ioredisClient.on('ready', () => {
logger.info('IoRedis connection ready');
});
ioredisClient.on('reconnecting', () => {
logger.info('IoRedis connection reconnecting');
});
ioredisClient.on('end', () => {
logger.info('IoRedis connection ended');
});
ioredisClient.on('close', () => {
logger.info('IoRedis connection closed');
});
ioredisClient.on('error', (err) => logger.error('IoRedis connection error:', err));
ioredisClient.setMaxListeners(redis_max_listeners);
logger.info(
'[Optional] IoRedis initialized for rate limiters. If you have issues, disable Redis or restart the server.',
);
} else {
logger.info('[Optional] IoRedis not initialized for rate limiters.');
}
module.exports = ioredisClient;

View File

@@ -1,9 +1,11 @@
const { KeyvFile } = require('keyv-file');
const logFile = new KeyvFile({ filename: './data/logs.json' }).setMaxListeners(20);
const violationFile = new KeyvFile({ filename: './data/violations.json' }).setMaxListeners(20);
const logFile = new KeyvFile({ filename: './data/logs.json' });
const pendingReqFile = new KeyvFile({ filename: './data/pendingReqCache.json' });
const violationFile = new KeyvFile({ filename: './data/violations.json' });
module.exports = {
logFile,
pendingReqFile,
violationFile,
};

269
api/cache/keyvMongo.js vendored
View File

@@ -1,272 +1,9 @@
// api/cache/keyvMongo.js
const mongoose = require('mongoose');
const EventEmitter = require('events');
const { GridFSBucket } = require('mongodb');
const KeyvMongo = require('@keyv/mongo');
const { logger } = require('~/config');
const storeMap = new Map();
class KeyvMongoCustom extends EventEmitter {
constructor(url, options = {}) {
super();
url = url || {};
if (typeof url === 'string') {
url = { url };
}
if (url.uri) {
url = { url: url.uri, ...url };
}
this.opts = {
url: 'mongodb://127.0.0.1:27017',
collection: 'keyv',
...url,
...options,
};
this.ttlSupport = false;
// Filter valid options
const keyvMongoKeys = new Set([
'url',
'collection',
'namespace',
'serialize',
'deserialize',
'uri',
'useGridFS',
'dialect',
]);
this.opts = Object.fromEntries(Object.entries(this.opts).filter(([k]) => keyvMongoKeys.has(k)));
}
// Helper to access the store WITHOUT storing a promise on the instance
_getClient() {
const storeKey = `${this.opts.collection}:${this.opts.useGridFS ? 'gridfs' : 'collection'}`;
// If we already have the store initialized, return it directly
if (storeMap.has(storeKey)) {
return Promise.resolve(storeMap.get(storeKey));
}
// Check mongoose connection state
if (mongoose.connection.readyState !== 1) {
return Promise.reject(
new Error('Mongoose connection not ready. Ensure connectDb() is called first.'),
);
}
try {
const db = mongoose.connection.db;
let client;
if (this.opts.useGridFS) {
const bucket = new GridFSBucket(db, {
readPreference: this.opts.readPreference,
bucketName: this.opts.collection,
});
const store = db.collection(`${this.opts.collection}.files`);
client = { bucket, store, db };
} else {
const collection = this.opts.collection || 'keyv';
const store = db.collection(collection);
client = { store, db };
}
storeMap.set(storeKey, client);
return Promise.resolve(client);
} catch (error) {
this.emit('error', error);
return Promise.reject(error);
}
}
async get(key) {
const client = await this._getClient();
if (this.opts.useGridFS) {
await client.store.updateOne(
{
filename: key,
},
{
$set: {
'metadata.lastAccessed': new Date(),
},
},
);
const stream = client.bucket.openDownloadStreamByName(key);
return new Promise((resolve) => {
const resp = [];
stream.on('error', () => {
resolve(undefined);
});
stream.on('end', () => {
const data = Buffer.concat(resp).toString('utf8');
resolve(data);
});
stream.on('data', (chunk) => {
resp.push(chunk);
});
});
}
const document = await client.store.findOne({ key: { $eq: key } });
if (!document) {
return undefined;
}
return document.value;
}
async getMany(keys) {
const client = await this._getClient();
if (this.opts.useGridFS) {
const promises = [];
for (const key of keys) {
promises.push(this.get(key));
}
const values = await Promise.allSettled(promises);
const data = [];
for (const value of values) {
data.push(value.value);
}
return data;
}
const values = await client.store
.find({ key: { $in: keys } })
.project({ _id: 0, value: 1, key: 1 })
.toArray();
const results = [...keys];
let i = 0;
for (const key of keys) {
const rowIndex = values.findIndex((row) => row.key === key);
results[i] = rowIndex > -1 ? values[rowIndex].value : undefined;
i++;
}
return results;
}
async set(key, value, ttl) {
const client = await this._getClient();
const expiresAt = typeof ttl === 'number' ? new Date(Date.now() + ttl) : null;
if (this.opts.useGridFS) {
const stream = client.bucket.openUploadStream(key, {
metadata: {
expiresAt,
lastAccessed: new Date(),
},
});
return new Promise((resolve) => {
stream.on('finish', () => {
resolve(stream);
});
stream.end(value);
});
}
await client.store.updateOne(
{ key: { $eq: key } },
{ $set: { key, value, expiresAt } },
{ upsert: true },
);
}
async delete(key) {
if (typeof key !== 'string') {
return false;
}
const client = await this._getClient();
if (this.opts.useGridFS) {
try {
const bucket = new GridFSBucket(client.db, {
bucketName: this.opts.collection,
});
const files = await bucket.find({ filename: key }).toArray();
await client.bucket.delete(files[0]._id);
return true;
} catch {
return false;
}
}
const object = await client.store.deleteOne({ key: { $eq: key } });
return object.deletedCount > 0;
}
async deleteMany(keys) {
const client = await this._getClient();
if (this.opts.useGridFS) {
const bucket = new GridFSBucket(client.db, {
bucketName: this.opts.collection,
});
const files = await bucket.find({ filename: { $in: keys } }).toArray();
if (files.length === 0) {
return false;
}
await Promise.all(files.map(async (file) => client.bucket.delete(file._id)));
return true;
}
const object = await client.store.deleteMany({ key: { $in: keys } });
return object.deletedCount > 0;
}
async clear() {
const client = await this._getClient();
if (this.opts.useGridFS) {
try {
await client.bucket.drop();
} catch (error) {
// Throw error if not "namespace not found" error
if (!(error.code === 26)) {
throw error;
}
}
}
await client.store.deleteMany({
key: { $regex: this.namespace ? `^${this.namespace}:*` : '' },
});
}
async has(key) {
const client = await this._getClient();
const filter = { [this.opts.useGridFS ? 'filename' : 'key']: { $eq: key } };
const document = await client.store.countDocuments(filter, { limit: 1 });
return document !== 0;
}
// No-op disconnect
async disconnect() {
// This is a no-op since we don't want to close the shared mongoose connection
return true;
}
}
const keyvMongo = new KeyvMongoCustom({
collection: 'logs',
});
const { MONGO_URI } = process.env ?? {};
const keyvMongo = new KeyvMongo(MONGO_URI, { collection: 'logs' });
keyvMongo.on('error', (err) => logger.error('KeyvMongo connection error:', err));
module.exports = keyvMongo;

103
api/cache/keyvRedis.js vendored
View File

@@ -1,109 +1,20 @@
const fs = require('fs');
const ioredis = require('ioredis');
const KeyvRedis = require('@keyv/redis').default;
const KeyvRedis = require('@keyv/redis');
const { logger } = require('~/config');
const { isEnabled } = require('~/server/utils');
const logger = require('~/config/winston');
const { REDIS_URI, USE_REDIS, USE_REDIS_CLUSTER, REDIS_CA, REDIS_KEY_PREFIX, REDIS_MAX_LISTENERS } =
process.env;
const { REDIS_URI, USE_REDIS } = process.env;
let keyvRedis;
const redis_prefix = REDIS_KEY_PREFIX || '';
const redis_max_listeners = Number(REDIS_MAX_LISTENERS) || 40;
function mapURI(uri) {
const regex =
/^(?:(?<scheme>\w+):\/\/)?(?:(?<user>[^:@]+)(?::(?<password>[^@]+))?@)?(?<host>[\w.-]+)(?::(?<port>\d{1,5}))?$/;
const match = uri.match(regex);
if (match) {
const { scheme, user, password, host, port } = match.groups;
return {
scheme: scheme || 'none',
user: user || null,
password: password || null,
host: host || null,
port: port || null,
};
} else {
const parts = uri.split(':');
if (parts.length === 2) {
return {
scheme: 'none',
user: null,
password: null,
host: parts[0],
port: parts[1],
};
}
return {
scheme: 'none',
user: null,
password: null,
host: uri,
port: null,
};
}
}
if (REDIS_URI && isEnabled(USE_REDIS)) {
let redisOptions = null;
/** @type {import('@keyv/redis').KeyvRedisOptions} */
let keyvOpts = {
useRedisSets: false,
keyPrefix: redis_prefix,
};
if (REDIS_CA) {
const ca = fs.readFileSync(REDIS_CA);
redisOptions = { tls: { ca } };
}
if (isEnabled(USE_REDIS_CLUSTER)) {
const hosts = REDIS_URI.split(',').map((item) => {
var value = mapURI(item);
return {
host: value.host,
port: value.port,
};
});
const cluster = new ioredis.Cluster(hosts, { redisOptions });
keyvRedis = new KeyvRedis(cluster, keyvOpts);
} else {
keyvRedis = new KeyvRedis(REDIS_URI, keyvOpts);
}
const pingInterval = setInterval(
() => {
logger.debug('KeyvRedis ping');
keyvRedis.client.ping().catch((err) => logger.error('Redis keep-alive ping failed:', err));
},
5 * 60 * 1000,
);
keyvRedis.on('ready', () => {
logger.info('KeyvRedis connection ready');
});
keyvRedis.on('reconnecting', () => {
logger.info('KeyvRedis connection reconnecting');
});
keyvRedis.on('end', () => {
logger.info('KeyvRedis connection ended');
});
keyvRedis.on('close', () => {
clearInterval(pingInterval);
logger.info('KeyvRedis connection closed');
});
keyvRedis = new KeyvRedis(REDIS_URI, { useRedisSets: false });
keyvRedis.on('error', (err) => logger.error('KeyvRedis connection error:', err));
keyvRedis.setMaxListeners(redis_max_listeners);
keyvRedis.setMaxListeners(20);
logger.info(
'[Optional] Redis initialized. If you have issues, or seeing older values, disable it or flush cache to refresh values.',
'[Optional] Redis initialized. Note: Redis support is experimental. If you have issues, disable it. Cache needs to be flushed for values to refresh.',
);
} else {
logger.info('[Optional] Redis not initialized.');
logger.info('[Optional] Redis not initialized. Note: Redis support is experimental.');
}
module.exports = keyvRedis;

4
api/cache/redis.js vendored Normal file
View File

@@ -0,0 +1,4 @@
const Redis = require('ioredis');
const { REDIS_URI } = process.env ?? {};
const redis = new Redis.Cluster(REDIS_URI);
module.exports = redis;

View File

@@ -1,42 +1,21 @@
const axios = require('axios');
const { EventSource } = require('eventsource');
const { Time, CacheKeys } = require('librechat-data-provider');
const { MCPManager, FlowStateManager } = require('librechat-mcp');
const logger = require('./winston');
global.EventSource = EventSource;
/** @type {MCPManager} */
let mcpManager = null;
let flowManager = null;
/**
* @param {string} [userId] - Optional user ID, to avoid disconnecting the current user.
* @returns {MCPManager}
* @returns {Promise<MCPManager>}
*/
function getMCPManager(userId) {
async function getMCPManager() {
if (!mcpManager) {
const { MCPManager } = await import('librechat-mcp');
mcpManager = MCPManager.getInstance(logger);
} else {
mcpManager.checkIdleConnections(userId);
}
return mcpManager;
}
/**
* @param {Keyv} flowsCache
* @returns {FlowStateManager}
*/
function getFlowStateManager(flowsCache) {
if (!flowManager) {
flowManager = new FlowStateManager(flowsCache, {
ttl: Time.ONE_MINUTE * 3,
logger,
});
}
return flowManager;
}
/**
* Sends message data in Server Sent Events format.
* @param {ServerResponse} res - The server response.
@@ -51,46 +30,8 @@ const sendEvent = (res, event) => {
res.write(`event: message\ndata: ${JSON.stringify(event)}\n\n`);
};
/**
* Creates and configures an Axios instance with optional proxy settings.
*
* @typedef {import('axios').AxiosInstance} AxiosInstance
* @typedef {import('axios').AxiosProxyConfig} AxiosProxyConfig
*
* @returns {AxiosInstance} A configured Axios instance
* @throws {Error} If there's an issue creating the Axios instance or parsing the proxy URL
*/
function createAxiosInstance() {
const instance = axios.create();
if (process.env.proxy) {
try {
const url = new URL(process.env.proxy);
/** @type {AxiosProxyConfig} */
const proxyConfig = {
host: url.hostname.replace(/^\[|\]$/g, ''),
protocol: url.protocol.replace(':', ''),
};
if (url.port) {
proxyConfig.port = parseInt(url.port, 10);
}
instance.defaults.proxy = proxyConfig;
} catch (error) {
console.error('Error parsing proxy URL:', error);
throw new Error(`Invalid proxy URL: ${process.env.proxy}`);
}
}
return instance;
}
module.exports = {
logger,
sendEvent,
getMCPManager,
createAxiosInstance,
getFlowStateManager,
};

View File

@@ -1,126 +0,0 @@
const axios = require('axios');
const { createAxiosInstance } = require('./index');
// Mock axios
jest.mock('axios', () => ({
interceptors: {
request: { use: jest.fn(), eject: jest.fn() },
response: { use: jest.fn(), eject: jest.fn() },
},
create: jest.fn().mockReturnValue({
defaults: {
proxy: null,
},
get: jest.fn().mockResolvedValue({ data: {} }),
post: jest.fn().mockResolvedValue({ data: {} }),
put: jest.fn().mockResolvedValue({ data: {} }),
delete: jest.fn().mockResolvedValue({ data: {} }),
}),
get: jest.fn().mockResolvedValue({ data: {} }),
post: jest.fn().mockResolvedValue({ data: {} }),
put: jest.fn().mockResolvedValue({ data: {} }),
delete: jest.fn().mockResolvedValue({ data: {} }),
reset: jest.fn().mockImplementation(function () {
this.get.mockClear();
this.post.mockClear();
this.put.mockClear();
this.delete.mockClear();
this.create.mockClear();
}),
}));
describe('createAxiosInstance', () => {
const originalEnv = process.env;
beforeEach(() => {
// Reset mocks
jest.clearAllMocks();
// Create a clean copy of process.env
process.env = { ...originalEnv };
// Default: no proxy
delete process.env.proxy;
});
afterAll(() => {
// Restore original process.env
process.env = originalEnv;
});
test('creates an axios instance without proxy when no proxy env is set', () => {
const instance = createAxiosInstance();
expect(axios.create).toHaveBeenCalledTimes(1);
expect(instance.defaults.proxy).toBeNull();
});
test('configures proxy correctly with hostname and protocol', () => {
process.env.proxy = 'http://example.com';
const instance = createAxiosInstance();
expect(axios.create).toHaveBeenCalledTimes(1);
expect(instance.defaults.proxy).toEqual({
host: 'example.com',
protocol: 'http',
});
});
test('configures proxy correctly with hostname, protocol and port', () => {
process.env.proxy = 'https://proxy.example.com:8080';
const instance = createAxiosInstance();
expect(axios.create).toHaveBeenCalledTimes(1);
expect(instance.defaults.proxy).toEqual({
host: 'proxy.example.com',
protocol: 'https',
port: 8080,
});
});
test('handles proxy URLs with authentication', () => {
process.env.proxy = 'http://user:pass@proxy.example.com:3128';
const instance = createAxiosInstance();
expect(axios.create).toHaveBeenCalledTimes(1);
expect(instance.defaults.proxy).toEqual({
host: 'proxy.example.com',
protocol: 'http',
port: 3128,
// Note: The current implementation doesn't handle auth - if needed, add this functionality
});
});
test('throws error when proxy URL is invalid', () => {
process.env.proxy = 'invalid-url';
expect(() => createAxiosInstance()).toThrow('Invalid proxy URL');
expect(axios.create).toHaveBeenCalledTimes(1);
});
// If you want to test the actual URL parsing more thoroughly
test('handles edge case proxy URLs correctly', () => {
// IPv6 address
process.env.proxy = 'http://[::1]:8080';
let instance = createAxiosInstance();
expect(instance.defaults.proxy).toEqual({
host: '::1',
protocol: 'http',
port: 8080,
});
// URL with path (which should be ignored for proxy config)
process.env.proxy = 'http://proxy.example.com:8080/some/path';
instance = createAxiosInstance();
expect(instance.defaults.proxy).toEqual({
host: 'proxy.example.com',
protocol: 'http',
port: 8080,
});
});
});

View File

@@ -4,11 +4,7 @@ require('winston-daily-rotate-file');
const logDir = path.join(__dirname, '..', 'logs');
const { NODE_ENV, DEBUG_LOGGING = false } = process.env;
const useDebugLogging =
(typeof DEBUG_LOGGING === 'string' && DEBUG_LOGGING?.toLowerCase() === 'true') ||
DEBUG_LOGGING === true;
const { NODE_ENV } = process.env;
const levels = {
error: 0,
@@ -40,10 +36,9 @@ const fileFormat = winston.format.combine(
winston.format.splat(),
);
const logLevel = useDebugLogging ? 'debug' : 'error';
const transports = [
new winston.transports.DailyRotateFile({
level: logLevel,
level: 'debug',
filename: `${logDir}/meiliSync-%DATE%.log`,
datePattern: 'YYYY-MM-DD',
zippedArchive: true,
@@ -53,6 +48,14 @@ const transports = [
}),
];
// if (NODE_ENV !== 'production') {
// transports.push(
// new winston.transports.Console({
// format: winston.format.combine(winston.format.colorize(), winston.format.simple()),
// }),
// );
// }
const consoleFormat = winston.format.combine(
winston.format.colorize({ all: true }),
winston.format.timestamp({ format: 'YYYY-MM-DD HH:mm:ss' }),

View File

@@ -5,7 +5,7 @@ const { redactFormat, redactMessage, debugTraverse, jsonTruncateFormat } = requi
const logDir = path.join(__dirname, '..', 'logs');
const { NODE_ENV, DEBUG_LOGGING = true, CONSOLE_JSON = false, DEBUG_CONSOLE = false } = process.env;
const { NODE_ENV, DEBUG_LOGGING = true, DEBUG_CONSOLE = false, CONSOLE_JSON = false } = process.env;
const useConsoleJson =
(typeof CONSOLE_JSON === 'string' && CONSOLE_JSON?.toLowerCase() === 'true') ||
@@ -15,10 +15,6 @@ const useDebugConsole =
(typeof DEBUG_CONSOLE === 'string' && DEBUG_CONSOLE?.toLowerCase() === 'true') ||
DEBUG_CONSOLE === true;
const useDebugLogging =
(typeof DEBUG_LOGGING === 'string' && DEBUG_LOGGING?.toLowerCase() === 'true') ||
DEBUG_LOGGING === true;
const levels = {
error: 0,
warn: 1,
@@ -61,9 +57,28 @@ const transports = [
maxFiles: '14d',
format: fileFormat,
}),
// new winston.transports.DailyRotateFile({
// level: 'info',
// filename: `${logDir}/info-%DATE%.log`,
// datePattern: 'YYYY-MM-DD',
// zippedArchive: true,
// maxSize: '20m',
// maxFiles: '14d',
// }),
];
if (useDebugLogging) {
// if (NODE_ENV !== 'production') {
// transports.push(
// new winston.transports.Console({
// format: winston.format.combine(winston.format.colorize(), winston.format.simple()),
// }),
// );
// }
if (
(typeof DEBUG_LOGGING === 'string' && DEBUG_LOGGING?.toLowerCase() === 'true') ||
DEBUG_LOGGING === true
) {
transports.push(
new winston.transports.DailyRotateFile({
level: 'debug',
@@ -92,16 +107,10 @@ const consoleFormat = winston.format.combine(
}),
);
// Determine console log level
let consoleLogLevel = 'info';
if (useDebugConsole) {
consoleLogLevel = 'debug';
}
if (useDebugConsole) {
transports.push(
new winston.transports.Console({
level: consoleLogLevel,
level: 'debug',
format: useConsoleJson
? winston.format.combine(fileFormat, jsonTruncateFormat(), winston.format.json())
: winston.format.combine(fileFormat, debugTraverse),
@@ -110,14 +119,14 @@ if (useDebugConsole) {
} else if (useConsoleJson) {
transports.push(
new winston.transports.Console({
level: consoleLogLevel,
level: 'info',
format: winston.format.combine(fileFormat, jsonTruncateFormat(), winston.format.json()),
}),
);
} else {
transports.push(
new winston.transports.Console({
level: consoleLogLevel,
level: 'info',
format: consoleFormat,
}),
);

View File

@@ -5,14 +5,12 @@ module.exports = {
coverageDirectory: 'coverage',
setupFiles: [
'./test/jestSetup.js',
'./test/__mocks__/KeyvMongo.js',
'./test/__mocks__/logger.js',
'./test/__mocks__/fetchEventSource.js',
],
moduleNameMapper: {
'~/(.*)': '<rootDir>/$1',
'~/data/auth.json': '<rootDir>/__mocks__/auth.mock.json',
'^openid-client/passport$': '<rootDir>/test/__mocks__/openid-client-passport.js', // Mock for the passport strategy part
'^openid-client$': '<rootDir>/test/__mocks__/openid-client.js',
},
transformIgnorePatterns: ['/node_modules/(?!(openid-client|oauth4webapi|jose)/).*/'],
};

View File

@@ -1,11 +1,9 @@
const { MeiliSearch } = require('meilisearch');
const { Conversation } = require('~/models/Conversation');
const { Message } = require('~/models/Message');
const { isEnabled } = require('~/server/utils');
const Conversation = require('~/models/schema/convoSchema');
const Message = require('~/models/schema/messageSchema');
const { logger } = require('~/config');
const searchEnabled = isEnabled(process.env.SEARCH);
const indexingDisabled = isEnabled(process.env.MEILI_NO_SYNC);
const searchEnabled = process.env?.SEARCH?.toLowerCase() === 'true';
let currentTimeout = null;
class MeiliSearchClient {
@@ -25,7 +23,8 @@ class MeiliSearchClient {
}
}
async function indexSync() {
// eslint-disable-next-line no-unused-vars
async function indexSync(req, res, next) {
if (!searchEnabled) {
return;
}
@@ -34,15 +33,10 @@ async function indexSync() {
const client = MeiliSearchClient.getInstance();
const { status } = await client.health();
if (status !== 'available') {
if (status !== 'available' || !process.env.SEARCH) {
throw new Error('Meilisearch not available');
}
if (indexingDisabled === true) {
logger.info('[indexSync] Indexing is disabled, skipping...');
return;
}
const messageCount = await Message.countDocuments();
const convoCount = await Conversation.countDocuments();
const messages = await client.index('messages').getStats();
@@ -77,6 +71,7 @@ async function indexSync() {
logger.info('[indexSync] Meilisearch not configured, search will be disabled.');
} else {
logger.error('[indexSync] error', err);
// res.status(500).json({ error: 'Server error' });
}
}
}

View File

@@ -0,0 +1,59 @@
const mergeSort = require('./mergeSort');
const { cleanUpPrimaryKeyValue } = require('./misc');
function reduceMessages(hits) {
const counts = {};
for (const hit of hits) {
if (!counts[hit.conversationId]) {
counts[hit.conversationId] = 1;
} else {
counts[hit.conversationId]++;
}
}
const result = [];
for (const [conversationId, count] of Object.entries(counts)) {
result.push({
conversationId,
count,
});
}
return mergeSort(result, (a, b) => b.count - a.count);
}
function reduceHits(hits, titles = []) {
const counts = {};
const titleMap = {};
const convos = [...hits, ...titles];
for (const convo of convos) {
const currentId = cleanUpPrimaryKeyValue(convo.conversationId);
if (!counts[currentId]) {
counts[currentId] = 1;
} else {
counts[currentId]++;
}
if (convo.title) {
// titleMap[currentId] = convo._formatted.title;
titleMap[currentId] = convo.title;
}
}
const result = [];
for (const [conversationId, count] of Object.entries(counts)) {
result.push({
conversationId,
count,
title: titleMap[conversationId] ? titleMap[conversationId] : null,
});
}
return mergeSort(result, (a, b) => b.count - a.count);
}
module.exports = { reduceMessages, reduceHits };

View File

@@ -1,5 +1,5 @@
const mongoose = require('mongoose');
const { actionSchema } = require('@librechat/data-schemas');
const actionSchema = require('./schema/action');
const Action = mongoose.model('action', actionSchema);

View File

@@ -1,9 +1,6 @@
const mongoose = require('mongoose');
const crypto = require('node:crypto');
const { agentSchema } = require('@librechat/data-schemas');
const { SystemRoles, Tools, actionDelimiter } = require('librechat-data-provider');
const { GLOBAL_PROJECT_NAME, EPHEMERAL_AGENT_ID, mcp_delimiter } =
require('librechat-data-provider').Constants;
const { SystemRoles } = require('librechat-data-provider');
const { GLOBAL_PROJECT_NAME } = require('librechat-data-provider').Constants;
const { CONFIG_STORE, STARTUP_CONFIG } = require('librechat-data-provider').CacheKeys;
const {
getProjectByName,
@@ -12,8 +9,7 @@ const {
removeAgentFromAllProjects,
} = require('./Project');
const getLogStores = require('~/cache/getLogStores');
const { getActions } = require('./Action');
const { logger } = require('~/config');
const agentSchema = require('./schema/agent');
const Agent = mongoose.model('agent', agentSchema);
@@ -24,19 +20,7 @@ const Agent = mongoose.model('agent', agentSchema);
* @throws {Error} If the agent creation fails.
*/
const createAgent = async (agentData) => {
const { author, ...versionData } = agentData;
const timestamp = new Date();
const initialAgentData = {
...agentData,
versions: [
{
...versionData,
createdAt: timestamp,
updatedAt: timestamp,
},
],
};
return (await Agent.create(initialAgentData)).toObject();
return (await Agent.create(agentData)).toObject();
};
/**
@@ -55,76 +39,13 @@ const getAgent = async (searchParameter) => await Agent.findOne(searchParameter)
* @param {Object} params
* @param {ServerRequest} params.req
* @param {string} params.agent_id
* @param {string} params.endpoint
* @param {import('@librechat/agents').ClientOptions} [params.model_parameters]
* @returns {Agent|null} The agent document as a plain object, or null if not found.
*/
const loadEphemeralAgent = ({ req, agent_id, endpoint, model_parameters: _m }) => {
const { model, ...model_parameters } = _m;
/** @type {Record<string, FunctionTool>} */
const availableTools = req.app.locals.availableTools;
/** @type {TEphemeralAgent | null} */
const ephemeralAgent = req.body.ephemeralAgent;
const mcpServers = new Set(ephemeralAgent?.mcp);
/** @type {string[]} */
const tools = [];
if (ephemeralAgent?.execute_code === true) {
tools.push(Tools.execute_code);
}
if (ephemeralAgent?.web_search === true) {
tools.push(Tools.web_search);
}
if (mcpServers.size > 0) {
for (const toolName of Object.keys(availableTools)) {
if (!toolName.includes(mcp_delimiter)) {
continue;
}
const mcpServer = toolName.split(mcp_delimiter)?.[1];
if (mcpServer && mcpServers.has(mcpServer)) {
tools.push(toolName);
}
}
}
const instructions = req.body.promptPrefix;
return {
id: agent_id,
instructions,
provider: endpoint,
model_parameters,
model,
tools,
};
};
/**
* Load an agent based on the provided ID
*
* @param {Object} params
* @param {ServerRequest} params.req
* @param {string} params.agent_id
* @param {string} params.endpoint
* @param {import('@librechat/agents').ClientOptions} [params.model_parameters]
* @returns {Promise<Agent|null>} The agent document as a plain object, or null if not found.
*/
const loadAgent = async ({ req, agent_id, endpoint, model_parameters }) => {
if (!agent_id) {
return null;
}
if (agent_id === EPHEMERAL_AGENT_ID) {
return loadEphemeralAgent({ req, agent_id, endpoint, model_parameters });
}
const loadAgent = async ({ req, agent_id }) => {
const agent = await getAgent({
id: agent_id,
});
if (!agent) {
return null;
}
agent.version = agent.versions ? agent.versions.length : 0;
if (agent.author.toString() === req.user.id) {
return agent;
}
@@ -149,207 +70,19 @@ const loadAgent = async ({ req, agent_id, endpoint, model_parameters }) => {
}
};
/**
* Check if a version already exists in the versions array, excluding timestamp and author fields
* @param {Object} updateData - The update data to compare
* @param {Object} currentData - The current agent data
* @param {Array} versions - The existing versions array
* @param {string} [actionsHash] - Hash of current action metadata
* @returns {Object|null} - The matching version if found, null otherwise
*/
const isDuplicateVersion = (updateData, currentData, versions, actionsHash = null) => {
if (!versions || versions.length === 0) {
return null;
}
const excludeFields = [
'_id',
'id',
'createdAt',
'updatedAt',
'author',
'updatedBy',
'created_at',
'updated_at',
'__v',
'agent_ids',
'versions',
'actionsHash', // Exclude actionsHash from direct comparison
];
const { $push, $pull, $addToSet, ...directUpdates } = updateData;
if (Object.keys(directUpdates).length === 0 && !actionsHash) {
return null;
}
const wouldBeVersion = { ...currentData, ...directUpdates };
const lastVersion = versions[versions.length - 1];
if (actionsHash && lastVersion.actionsHash !== actionsHash) {
return null;
}
const allFields = new Set([...Object.keys(wouldBeVersion), ...Object.keys(lastVersion)]);
const importantFields = Array.from(allFields).filter((field) => !excludeFields.includes(field));
let isMatch = true;
for (const field of importantFields) {
if (!wouldBeVersion[field] && !lastVersion[field]) {
continue;
}
if (Array.isArray(wouldBeVersion[field]) && Array.isArray(lastVersion[field])) {
if (wouldBeVersion[field].length !== lastVersion[field].length) {
isMatch = false;
break;
}
// Special handling for projectIds (MongoDB ObjectIds)
if (field === 'projectIds') {
const wouldBeIds = wouldBeVersion[field].map((id) => id.toString()).sort();
const versionIds = lastVersion[field].map((id) => id.toString()).sort();
if (!wouldBeIds.every((id, i) => id === versionIds[i])) {
isMatch = false;
break;
}
}
// Handle arrays of objects like tool_kwargs
else if (typeof wouldBeVersion[field][0] === 'object' && wouldBeVersion[field][0] !== null) {
const sortedWouldBe = [...wouldBeVersion[field]].map((item) => JSON.stringify(item)).sort();
const sortedVersion = [...lastVersion[field]].map((item) => JSON.stringify(item)).sort();
if (!sortedWouldBe.every((item, i) => item === sortedVersion[i])) {
isMatch = false;
break;
}
} else {
const sortedWouldBe = [...wouldBeVersion[field]].sort();
const sortedVersion = [...lastVersion[field]].sort();
if (!sortedWouldBe.every((item, i) => item === sortedVersion[i])) {
isMatch = false;
break;
}
}
} else if (field === 'model_parameters') {
const wouldBeParams = wouldBeVersion[field] || {};
const lastVersionParams = lastVersion[field] || {};
if (JSON.stringify(wouldBeParams) !== JSON.stringify(lastVersionParams)) {
isMatch = false;
break;
}
} else if (wouldBeVersion[field] !== lastVersion[field]) {
isMatch = false;
break;
}
}
return isMatch ? lastVersion : null;
};
/**
* Update an agent with new data without overwriting existing
* properties, or create a new agent if it doesn't exist.
* When an agent is updated, a copy of the current state will be saved to the versions array.
*
* @param {Object} searchParameter - The search parameters to find the agent to update.
* @param {string} searchParameter.id - The ID of the agent to update.
* @param {string} [searchParameter.author] - The user ID of the agent's author.
* @param {Object} updateData - An object containing the properties to update.
* @param {Object} [options] - Optional configuration object.
* @param {string} [options.updatingUserId] - The ID of the user performing the update (used for tracking non-author updates).
* @param {boolean} [options.forceVersion] - Force creation of a new version even if no fields changed.
* @returns {Promise<Agent>} The updated or newly created agent document as a plain object.
* @throws {Error} If the update would create a duplicate version
*/
const updateAgent = async (searchParameter, updateData, options = {}) => {
const { updatingUserId = null, forceVersion = false } = options;
const mongoOptions = { new: true, upsert: false };
const currentAgent = await Agent.findOne(searchParameter);
if (currentAgent) {
const { __v, _id, id, versions, author, ...versionData } = currentAgent.toObject();
const { $push, $pull, $addToSet, ...directUpdates } = updateData;
let actionsHash = null;
// Generate actions hash if agent has actions
if (currentAgent.actions && currentAgent.actions.length > 0) {
// Extract action IDs from the format "domain_action_id"
const actionIds = currentAgent.actions
.map((action) => {
const parts = action.split(actionDelimiter);
return parts[1]; // Get just the action ID part
})
.filter(Boolean);
if (actionIds.length > 0) {
try {
const actions = await getActions(
{
action_id: { $in: actionIds },
},
true,
); // Include sensitive data for hash
actionsHash = await generateActionMetadataHash(currentAgent.actions, actions);
} catch (error) {
logger.error('Error fetching actions for hash generation:', error);
}
}
}
const shouldCreateVersion =
forceVersion ||
(versions &&
versions.length > 0 &&
(Object.keys(directUpdates).length > 0 || $push || $pull || $addToSet));
if (shouldCreateVersion) {
const duplicateVersion = isDuplicateVersion(updateData, versionData, versions, actionsHash);
if (duplicateVersion && !forceVersion) {
const error = new Error(
'Duplicate version: This would create a version identical to an existing one',
);
error.statusCode = 409;
error.details = {
duplicateVersion,
versionIndex: versions.findIndex(
(v) => JSON.stringify(duplicateVersion) === JSON.stringify(v),
),
};
throw error;
}
}
const versionEntry = {
...versionData,
...directUpdates,
updatedAt: new Date(),
};
// Include actions hash in version if available
if (actionsHash) {
versionEntry.actionsHash = actionsHash;
}
// Always store updatedBy field to track who made the change
if (updatingUserId) {
versionEntry.updatedBy = new mongoose.Types.ObjectId(updatingUserId);
}
if (shouldCreateVersion || forceVersion) {
updateData.$push = {
...($push || {}),
versions: versionEntry,
};
}
}
return Agent.findOneAndUpdate(searchParameter, updateData, mongoOptions).lean();
const updateAgent = async (searchParameter, updateData) => {
const options = { new: true, upsert: false };
return Agent.findOneAndUpdate(searchParameter, updateData, options).lean();
};
/**
@@ -361,35 +94,15 @@ const updateAgent = async (searchParameter, updateData, options = {}) => {
* @param {string} params.file_id
* @returns {Promise<Agent>} The updated agent.
*/
const addAgentResourceFile = async ({ req, agent_id, tool_resource, file_id }) => {
const addAgentResourceFile = async ({ agent_id, tool_resource, file_id }) => {
const searchParameter = { id: agent_id };
let agent = await getAgent(searchParameter);
if (!agent) {
throw new Error('Agent not found for adding resource file');
}
// build the update to push or create the file ids set
const fileIdsPath = `tool_resources.${tool_resource}.file_ids`;
await Agent.updateOne(
{
id: agent_id,
[`${fileIdsPath}`]: { $exists: false },
},
{
$set: {
[`${fileIdsPath}`]: [],
},
},
);
const updateData = { $addToSet: { [fileIdsPath]: file_id } };
const updateData = {
$addToSet: {
tools: tool_resource,
[fileIdsPath]: file_id,
},
};
const updatedAgent = await updateAgent(searchParameter, updateData, {
updatingUserId: req?.user?.id,
});
// return the updated agent or throw if no agent matches
const updatedAgent = await updateAgent(searchParameter, updateData);
if (updatedAgent) {
return updatedAgent;
} else {
@@ -398,17 +111,16 @@ const addAgentResourceFile = async ({ req, agent_id, tool_resource, file_id }) =
};
/**
* Removes multiple resource files from an agent using atomic operations.
* Removes multiple resource files from an agent in a single update.
* @param {object} params
* @param {string} params.agent_id
* @param {Array<{tool_resource: string, file_id: string}>} params.files
* @returns {Promise<Agent>} The updated agent.
* @throws {Error} If the agent is not found or update fails.
*/
const removeAgentResourceFiles = async ({ agent_id, files }) => {
const searchParameter = { id: agent_id };
// Group files to remove by resource
// associate each tool resource with the respective file ids array
const filesByResource = files.reduce((acc, { tool_resource, file_id }) => {
if (!acc[tool_resource]) {
acc[tool_resource] = [];
@@ -417,35 +129,42 @@ const removeAgentResourceFiles = async ({ agent_id, files }) => {
return acc;
}, {});
// Step 1: Atomically remove file IDs using $pull
const pullOps = {};
const resourcesToCheck = new Set();
for (const [resource, fileIds] of Object.entries(filesByResource)) {
const fileIdsPath = `tool_resources.${resource}.file_ids`;
pullOps[fileIdsPath] = { $in: fileIds };
resourcesToCheck.add(resource);
// build the update aggregation pipeline wich removes file ids from tool resources array
// and eventually deletes empty tool resources
const updateData = [];
Object.entries(filesByResource).forEach(([resource, fileIds]) => {
const toolResourcePath = `tool_resources.${resource}`;
const fileIdsPath = `${toolResourcePath}.file_ids`;
// file ids removal stage
updateData.push({
$set: {
[fileIdsPath]: {
$filter: {
input: `$${fileIdsPath}`,
cond: { $not: [{ $in: ['$$this', fileIds] }] },
},
},
},
});
// empty tool resource deletion stage
updateData.push({
$set: {
[toolResourcePath]: {
$cond: [{ $eq: [`$${fileIdsPath}`, []] }, '$$REMOVE', `$${toolResourcePath}`],
},
},
});
});
// return the updated agent or throw if no agent matches
const updatedAgent = await updateAgent(searchParameter, updateData);
if (updatedAgent) {
return updatedAgent;
} else {
throw new Error('Agent not found for removing resource files');
}
const updatePullData = { $pull: pullOps };
const agentAfterPull = await Agent.findOneAndUpdate(searchParameter, updatePullData, {
new: true,
}).lean();
if (!agentAfterPull) {
// Agent might have been deleted concurrently, or never existed.
// Check if it existed before trying to throw.
const agentExists = await getAgent(searchParameter);
if (!agentExists) {
throw new Error('Agent not found for removing resource files');
}
// If it existed but findOneAndUpdate returned null, something else went wrong.
throw new Error('Failed to update agent during file removal (pull step)');
}
// Return the agent state directly after the $pull operation.
// Skipping the $unset step for now to simplify and test core $pull atomicity.
// Empty arrays might remain, but the removal itself should be correct.
return agentAfterPull;
};
/**
@@ -520,7 +239,7 @@ const getListAgents = async (searchParameter) => {
* This function also updates the corresponding projects to include or exclude the agent ID.
*
* @param {Object} params - Parameters for updating the agent's projects.
* @param {MongoUser} params.user - Parameters for updating the agent's projects.
* @param {import('librechat-data-provider').TUser} params.user - Parameters for updating the agent's projects.
* @param {string} params.agentId - The ID of the agent to update.
* @param {string[]} [params.projectIds] - Array of project IDs to add to the agent.
* @param {string[]} [params.removeProjectIds] - Array of project IDs to remove from the agent.
@@ -553,7 +272,7 @@ const updateAgentProjects = async ({ user, agentId, projectIds, removeProjectIds
delete updateQuery.author;
}
const updatedAgent = await updateAgent(updateQuery, updateOps, { updatingUserId: user.id });
const updatedAgent = await updateAgent(updateQuery, updateOps);
if (updatedAgent) {
return updatedAgent;
}
@@ -570,108 +289,14 @@ const updateAgentProjects = async ({ user, agentId, projectIds, removeProjectIds
return await getAgent({ id: agentId });
};
/**
* Reverts an agent to a specific version in its version history.
* @param {Object} searchParameter - The search parameters to find the agent to revert.
* @param {string} searchParameter.id - The ID of the agent to revert.
* @param {string} [searchParameter.author] - The user ID of the agent's author.
* @param {number} versionIndex - The index of the version to revert to in the versions array.
* @returns {Promise<MongoAgent>} The updated agent document after reverting.
* @throws {Error} If the agent is not found or the specified version does not exist.
*/
const revertAgentVersion = async (searchParameter, versionIndex) => {
const agent = await Agent.findOne(searchParameter);
if (!agent) {
throw new Error('Agent not found');
}
if (!agent.versions || !agent.versions[versionIndex]) {
throw new Error(`Version ${versionIndex} not found`);
}
const revertToVersion = agent.versions[versionIndex];
const updateData = {
...revertToVersion,
};
delete updateData._id;
delete updateData.id;
delete updateData.versions;
delete updateData.author;
delete updateData.updatedBy;
return Agent.findOneAndUpdate(searchParameter, updateData, { new: true }).lean();
};
/**
* Generates a hash of action metadata for version comparison
* @param {string[]} actionIds - Array of action IDs in format "domain_action_id"
* @param {Action[]} actions - Array of action documents
* @returns {Promise<string>} - SHA256 hash of the action metadata
*/
const generateActionMetadataHash = async (actionIds, actions) => {
if (!actionIds || actionIds.length === 0) {
return '';
}
// Create a map of action_id to metadata for quick lookup
const actionMap = new Map();
actions.forEach((action) => {
actionMap.set(action.action_id, action.metadata);
});
// Sort action IDs for consistent hashing
const sortedActionIds = [...actionIds].sort();
// Build a deterministic string representation of all action metadata
const metadataString = sortedActionIds
.map((actionFullId) => {
// Extract just the action_id part (after the delimiter)
const parts = actionFullId.split(actionDelimiter);
const actionId = parts[1];
const metadata = actionMap.get(actionId);
if (!metadata) {
return `${actionId}:null`;
}
// Sort metadata keys for deterministic output
const sortedKeys = Object.keys(metadata).sort();
const metadataStr = sortedKeys
.map((key) => `${key}:${JSON.stringify(metadata[key])}`)
.join(',');
return `${actionId}:{${metadataStr}}`;
})
.join(';');
// Use Web Crypto API to generate hash
const encoder = new TextEncoder();
const data = encoder.encode(metadataString);
const hashBuffer = await crypto.webcrypto.subtle.digest('SHA-256', data);
const hashArray = Array.from(new Uint8Array(hashBuffer));
const hashHex = hashArray.map((b) => b.toString(16).padStart(2, '0')).join('');
return hashHex;
};
/**
* Load a default agent based on the endpoint
* @param {string} endpoint
* @returns {Agent | null}
*/
module.exports = {
Agent,
getAgent,
loadAgent,
createAgent,
updateAgent,
deleteAgent,
getListAgents,
revertAgentVersion,
updateAgentProjects,
addAgentResourceFile,
removeAgentResourceFiles,
generateActionMetadataHash,
};

File diff suppressed because it is too large Load Diff

View File

@@ -1,5 +1,5 @@
const mongoose = require('mongoose');
const { assistantSchema } = require('@librechat/data-schemas');
const assistantSchema = require('./schema/assistant');
const Assistant = mongoose.model('assistant', assistantSchema);

View File

@@ -1,4 +1,44 @@
const mongoose = require('mongoose');
const { balanceSchema } = require('@librechat/data-schemas');
const balanceSchema = require('./schema/balance');
const { getMultiplier } = require('./tx');
const { logger } = require('~/config');
balanceSchema.statics.check = async function ({
user,
model,
endpoint,
valueKey,
tokenType,
amount,
endpointTokenConfig,
}) {
const multiplier = getMultiplier({ valueKey, tokenType, model, endpoint, endpointTokenConfig });
const tokenCost = amount * multiplier;
const { tokenCredits: balance } = (await this.findOne({ user }, 'tokenCredits').lean()) ?? {};
logger.debug('[Balance.check]', {
user,
model,
endpoint,
valueKey,
tokenType,
amount,
balance,
multiplier,
endpointTokenConfig: !!endpointTokenConfig,
});
if (!balance) {
return {
canSpend: false,
balance: 0,
tokenCost,
};
}
logger.debug('[Balance.check]', { tokenCost });
return { canSpend: balance >= tokenCost, balance, tokenCost };
};
module.exports = mongoose.model('Balance', balanceSchema);

View File

@@ -1,9 +1,5 @@
const mongoose = require('mongoose');
const Banner = require('./schema/banner');
const logger = require('~/config/winston');
const { bannerSchema } = require('@librechat/data-schemas');
const Banner = mongoose.model('Banner', bannerSchema);
/**
* Retrieves the current active banner.
* @returns {Promise<Object|null>} The active banner object or null if no active banner is found.
@@ -28,4 +24,4 @@ const getBanner = async (user) => {
}
};
module.exports = { Banner, getBanner };
module.exports = { getBanner };

View File

@@ -1,40 +1,40 @@
const { logger } = require('~/config');
// const { Categories } = require('./schema/categories');
const options = [
{
label: 'com_ui_idea',
label: 'idea',
value: 'idea',
},
{
label: 'com_ui_travel',
label: 'travel',
value: 'travel',
},
{
label: 'com_ui_teach_or_explain',
label: 'teach_or_explain',
value: 'teach_or_explain',
},
{
label: 'com_ui_write',
label: 'write',
value: 'write',
},
{
label: 'com_ui_shop',
label: 'shop',
value: 'shop',
},
{
label: 'com_ui_code',
label: 'code',
value: 'code',
},
{
label: 'com_ui_misc',
label: 'misc',
value: 'misc',
},
{
label: 'com_ui_roleplay',
label: 'roleplay',
value: 'roleplay',
},
{
label: 'com_ui_finance',
label: 'finance',
value: 'finance',
},
];

View File

@@ -15,6 +15,19 @@ const searchConversation = async (conversationId) => {
throw new Error('Error searching conversation');
}
};
/**
* Searches for a conversation by conversationId and returns associated file ids.
* @param {string} conversationId - The conversation's ID.
* @returns {Promise<string[] | null>}
*/
const getConvoFiles = async (conversationId) => {
try {
return (await Conversation.findOne({ conversationId }, 'files').lean())?.files ?? [];
} catch (error) {
logger.error('[getConvoFiles] Error getting conversation files', error);
throw new Error('Error getting conversation files');
}
};
/**
* Retrieves a single conversation for a given user and conversation ID.
@@ -60,20 +73,6 @@ const deleteNullOrEmptyConversations = async () => {
}
};
/**
* Searches for a conversation by conversationId and returns associated file ids.
* @param {string} conversationId - The conversation's ID.
* @returns {Promise<string[] | null>}
*/
const getConvoFiles = async (conversationId) => {
try {
return (await Conversation.findOne({ conversationId }, 'files').lean())?.files ?? [];
} catch (error) {
logger.error('[getConvoFiles] Error getting conversation files', error);
throw new Error('Error getting conversation files');
}
};
module.exports = {
Conversation,
getConvoFiles,
@@ -88,13 +87,11 @@ module.exports = {
*/
saveConvo: async (req, { conversationId, newConversationId, ...convo }, metadata) => {
try {
if (metadata?.context) {
if (metadata && metadata?.context) {
logger.debug(`[saveConvo] ${metadata.context}`);
}
const messages = await getMessages({ conversationId }, '_id');
const update = { ...convo, messages, user: req.user.id };
if (newConversationId) {
update.conversationId = newConversationId;
}
@@ -107,16 +104,10 @@ module.exports = {
update.expiredAt = null;
}
/** @type {{ $set: Partial<TConversation>; $unset?: Record<keyof TConversation, number> }} */
const updateOperation = { $set: update };
if (metadata && metadata.unsetFields && Object.keys(metadata.unsetFields).length > 0) {
updateOperation.$unset = metadata.unsetFields;
}
/** Note: the resulting Model object is necessary for Meilisearch operations */
const conversation = await Conversation.findOneAndUpdate(
{ conversationId, user: req.user.id },
updateOperation,
update,
{
new: true,
upsert: true,
@@ -150,102 +141,75 @@ module.exports = {
throw new Error('Failed to save conversations in bulk.');
}
},
getConvosByCursor: async (
user,
{ cursor, limit = 25, isArchived = false, tags, search, order = 'desc' } = {},
) => {
const filters = [{ user }];
getConvosByPage: async (user, pageNumber = 1, pageSize = 25, isArchived = false, tags) => {
const query = { user };
if (isArchived) {
filters.push({ isArchived: true });
query.isArchived = true;
} else {
filters.push({ $or: [{ isArchived: false }, { isArchived: { $exists: false } }] });
query.$or = [{ isArchived: false }, { isArchived: { $exists: false } }];
}
if (Array.isArray(tags) && tags.length > 0) {
filters.push({ tags: { $in: tags } });
query.tags = { $in: tags };
}
filters.push({ $or: [{ expiredAt: null }, { expiredAt: { $exists: false } }] });
if (search) {
try {
const meiliResults = await Conversation.meiliSearch(search);
const matchingIds = Array.isArray(meiliResults.hits)
? meiliResults.hits.map((result) => result.conversationId)
: [];
if (!matchingIds.length) {
return { conversations: [], nextCursor: null };
}
filters.push({ conversationId: { $in: matchingIds } });
} catch (error) {
logger.error('[getConvosByCursor] Error during meiliSearch', error);
return { message: 'Error during meiliSearch' };
}
}
if (cursor) {
filters.push({ updatedAt: { $lt: new Date(cursor) } });
}
const query = filters.length === 1 ? filters[0] : { $and: filters };
query.$and = [{ $or: [{ expiredAt: null }, { expiredAt: { $exists: false } }] }];
try {
const totalConvos = (await Conversation.countDocuments(query)) || 1;
const totalPages = Math.ceil(totalConvos / pageSize);
const convos = await Conversation.find(query)
.select(
'conversationId endpoint title createdAt updatedAt user model agent_id assistant_id spec iconURL',
)
.sort({ updatedAt: order === 'asc' ? 1 : -1 })
.limit(limit + 1)
.sort({ updatedAt: -1 })
.skip((pageNumber - 1) * pageSize)
.limit(pageSize)
.lean();
let nextCursor = null;
if (convos.length > limit) {
const lastConvo = convos.pop();
nextCursor = lastConvo.updatedAt.toISOString();
}
return { conversations: convos, nextCursor };
return { conversations: convos, pages: totalPages, pageNumber, pageSize };
} catch (error) {
logger.error('[getConvosByCursor] Error getting conversations', error);
logger.error('[getConvosByPage] Error getting conversations', error);
return { message: 'Error getting conversations' };
}
},
getConvosQueried: async (user, convoIds, cursor = null, limit = 25) => {
getConvosQueried: async (user, convoIds, pageNumber = 1, pageSize = 25) => {
try {
if (!convoIds?.length) {
return { conversations: [], nextCursor: null, convoMap: {} };
}
const conversationIds = convoIds.map((convo) => convo.conversationId);
const results = await Conversation.find({
user,
conversationId: { $in: conversationIds },
$or: [{ expiredAt: { $exists: false } }, { expiredAt: null }],
}).lean();
results.sort((a, b) => new Date(b.updatedAt) - new Date(a.updatedAt));
let filtered = results;
if (cursor && cursor !== 'start') {
const cursorDate = new Date(cursor);
filtered = results.filter((convo) => new Date(convo.updatedAt) < cursorDate);
}
const limited = filtered.slice(0, limit + 1);
let nextCursor = null;
if (limited.length > limit) {
const lastConvo = limited.pop();
nextCursor = lastConvo.updatedAt.toISOString();
if (!convoIds || convoIds.length === 0) {
return { conversations: [], pages: 1, pageNumber, pageSize };
}
const cache = {};
const convoMap = {};
limited.forEach((convo) => {
const promises = [];
convoIds.forEach((convo) =>
promises.push(
Conversation.findOne({
user,
conversationId: convo.conversationId,
$or: [{ expiredAt: { $exists: false } }, { expiredAt: null }],
}).lean(),
),
);
const results = (await Promise.all(promises)).filter(Boolean);
results.forEach((convo, i) => {
const page = Math.floor(i / pageSize) + 1;
if (!cache[page]) {
cache[page] = [];
}
cache[page].push(convo);
convoMap[convo.conversationId] = convo;
});
return { conversations: limited, nextCursor, convoMap };
const totalPages = Math.ceil(results.length / pageSize);
cache.pages = totalPages;
cache.pageSize = pageSize;
return {
cache,
conversations: cache[pageNumber] || [],
pages: totalPages || 1,
pageNumber,
pageSize,
convoMap,
};
} catch (error) {
logger.error('[getConvosQueried] Error getting conversations', error);
return { message: 'Error fetching conversations' };
@@ -286,26 +250,10 @@ module.exports = {
* logger.error(result); // { n: 5, ok: 1, deletedCount: 5, messages: { n: 10, ok: 1, deletedCount: 10 } }
*/
deleteConvos: async (user, filter) => {
try {
const userFilter = { ...filter, user };
const conversations = await Conversation.find(userFilter).select('conversationId');
const conversationIds = conversations.map((c) => c.conversationId);
if (!conversationIds.length) {
throw new Error('Conversation not found or already deleted.');
}
const deleteConvoResult = await Conversation.deleteMany(userFilter);
const deleteMessagesResult = await deleteMessages({
conversationId: { $in: conversationIds },
});
return { ...deleteConvoResult, messages: deleteMessagesResult };
} catch (error) {
logger.error('[deleteConvos] Error deleting conversations and messages', error);
throw error;
}
let toRemove = await Conversation.find({ ...filter, user }).select('conversationId');
const ids = toRemove.map((instance) => instance.conversationId);
let deleteCount = await Conversation.deleteMany({ ...filter, user });
deleteCount.messages = await deleteMessages({ conversationId: { $in: ids } });
return deleteCount;
},
};

View File

@@ -1,11 +1,7 @@
const mongoose = require('mongoose');
const ConversationTag = require('./schema/conversationTagSchema');
const Conversation = require('./schema/convoSchema');
const logger = require('~/config/winston');
const { conversationTagSchema } = require('@librechat/data-schemas');
const ConversationTag = mongoose.model('ConversationTag', conversationTagSchema);
/**
* Retrieves all conversation tags for a user.
* @param {string} user - The user ID.
@@ -140,13 +136,13 @@ const adjustPositions = async (user, oldPosition, newPosition) => {
const position =
oldPosition < newPosition
? {
$gt: Math.min(oldPosition, newPosition),
$lte: Math.max(oldPosition, newPosition),
}
$gt: Math.min(oldPosition, newPosition),
$lte: Math.max(oldPosition, newPosition),
}
: {
$gte: Math.min(oldPosition, newPosition),
$lt: Math.max(oldPosition, newPosition),
};
$gte: Math.min(oldPosition, newPosition),
$lt: Math.max(oldPosition, newPosition),
};
await ConversationTag.updateMany(
{

View File

@@ -1,7 +1,5 @@
const mongoose = require('mongoose');
const { EToolResources } = require('librechat-data-provider');
const { fileSchema } = require('@librechat/data-schemas');
const { logger } = require('~/config');
const fileSchema = require('./schema/fileSchema');
const File = mongoose.model('File', fileSchema);
@@ -19,50 +17,11 @@ const findFileById = async (file_id, options = {}) => {
* Retrieves files matching a given filter, sorted by the most recently updated.
* @param {Object} filter - The filter criteria to apply.
* @param {Object} [_sortOptions] - Optional sort parameters.
* @param {Object|String} [selectFields={ text: 0 }] - Fields to include/exclude in the query results.
* Default excludes the 'text' field.
* @returns {Promise<Array<MongoFile>>} A promise that resolves to an array of file documents.
*/
const getFiles = async (filter, _sortOptions, selectFields = { text: 0 }) => {
const getFiles = async (filter, _sortOptions) => {
const sortOptions = { updatedAt: -1, ..._sortOptions };
return await File.find(filter).select(selectFields).sort(sortOptions).lean();
};
/**
* Retrieves tool files (files that are embedded or have a fileIdentifier) from an array of file IDs
* @param {string[]} fileIds - Array of file_id strings to search for
* @param {Set<EToolResources>} toolResourceSet - Optional filter for tool resources
* @returns {Promise<Array<MongoFile>>} Files that match the criteria
*/
const getToolFilesByIds = async (fileIds, toolResourceSet) => {
if (!fileIds || !fileIds.length) {
return [];
}
try {
const filter = {
file_id: { $in: fileIds },
};
if (toolResourceSet.size) {
filter.$or = [];
}
if (toolResourceSet.has(EToolResources.file_search)) {
filter.$or.push({ embedded: true });
}
if (toolResourceSet.has(EToolResources.execute_code)) {
filter.$or.push({ 'metadata.fileIdentifier': { $exists: true } });
}
const selectFields = { text: 0 };
const sortOptions = { updatedAt: -1 };
return await getFiles(filter, sortOptions, selectFields);
} catch (error) {
logger.error('[getToolFilesByIds] Error retrieving tool files:', error);
throw new Error('Error retrieving tool files');
}
return await File.find(filter).sort(sortOptions).lean();
};
/**
@@ -146,38 +105,14 @@ const deleteFiles = async (file_ids, user) => {
return await File.deleteMany(deleteQuery);
};
/**
* Batch updates files with new signed URLs in MongoDB
*
* @param {MongoFile[]} updates - Array of updates in the format { file_id, filepath }
* @returns {Promise<void>}
*/
async function batchUpdateFiles(updates) {
if (!updates || updates.length === 0) {
return;
}
const bulkOperations = updates.map((update) => ({
updateOne: {
filter: { file_id: update.file_id },
update: { $set: { filepath: update.filepath } },
},
}));
const result = await File.bulkWrite(bulkOperations);
logger.info(`Updated ${result.modifiedCount} files with new S3 URLs`);
}
module.exports = {
File,
findFileById,
getFiles,
getToolFilesByIds,
createFile,
updateFile,
updateFileUsage,
deleteFile,
deleteFiles,
deleteFileByFilter,
batchUpdateFiles,
};

View File

@@ -1,4 +1,4 @@
const mongoose = require('mongoose');
const { keySchema } = require('@librechat/data-schemas');
const keySchema = require('./schema/key');
module.exports = mongoose.model('Key', keySchema);

View File

@@ -61,14 +61,6 @@ async function saveMessage(req, params, metadata) {
update.expiredAt = null;
}
if (update.tokenCount != null && isNaN(update.tokenCount)) {
logger.warn(
`Resetting invalid \`tokenCount\` for message \`${params.messageId}\`: ${update.tokenCount}`,
);
logger.info(`---\`saveMessage\` context: ${metadata?.context}`);
update.tokenCount = 0;
}
const message = await Message.findOneAndUpdate(
{ messageId: params.messageId, user: req.user.id },
update,
@@ -79,44 +71,7 @@ async function saveMessage(req, params, metadata) {
} catch (err) {
logger.error('Error saving message:', err);
logger.info(`---\`saveMessage\` context: ${metadata?.context}`);
// Check if this is a duplicate key error (MongoDB error code 11000)
if (err.code === 11000 && err.message.includes('duplicate key error')) {
// Log the duplicate key error but don't crash the application
logger.warn(`Duplicate messageId detected: ${params.messageId}. Continuing execution.`);
try {
// Try to find the existing message with this ID
const existingMessage = await Message.findOne({
messageId: params.messageId,
user: req.user.id,
});
// If we found it, return it
if (existingMessage) {
return existingMessage.toObject();
}
// If we can't find it (unlikely but possible in race conditions)
return {
...params,
messageId: params.messageId,
user: req.user.id,
};
} catch (findError) {
// If the findOne also fails, log it but don't crash
logger.warn(
`Could not retrieve existing message with ID ${params.messageId}: ${findError.message}`,
);
return {
...params,
messageId: params.messageId,
user: req.user.id,
};
}
}
throw err; // Re-throw other errors
throw err;
}
}

View File

@@ -153,7 +153,7 @@ describe('Message Operations', () => {
});
describe('Conversation Hijacking Prevention', () => {
it("should not allow editing a message in another user's conversation", async () => {
it('should not allow editing a message in another user\'s conversation', async () => {
const attackerReq = { user: { id: 'attacker123' } };
const victimConversationId = 'victim-convo-123';
const victimMessageId = 'victim-msg-123';
@@ -175,7 +175,7 @@ describe('Message Operations', () => {
);
});
it("should not allow deleting messages from another user's conversation", async () => {
it('should not allow deleting messages from another user\'s conversation', async () => {
const attackerReq = { user: { id: 'attacker123' } };
const victimConversationId = 'victim-convo-123';
const victimMessageId = 'victim-msg-123';
@@ -193,7 +193,7 @@ describe('Message Operations', () => {
});
});
it("should not allow inserting a new message into another user's conversation", async () => {
it('should not allow inserting a new message into another user\'s conversation', async () => {
const attackerReq = { user: { id: 'attacker123' } };
const victimConversationId = uuidv4(); // Use a valid UUID

View File

@@ -1,6 +1,6 @@
const { model } = require('mongoose');
const { GLOBAL_PROJECT_NAME } = require('librechat-data-provider').Constants;
const { projectSchema } = require('@librechat/data-schemas');
const projectSchema = require('~/models/schema/projectSchema');
const Project = model('Project', projectSchema);
@@ -9,7 +9,7 @@ const Project = model('Project', projectSchema);
*
* @param {string} projectId - The ID of the project to find and return as a plain object.
* @param {string|string[]} [fieldsToSelect] - The fields to include or exclude in the returned document.
* @returns {Promise<IMongoProject>} A plain object representing the project document, or `null` if no project is found.
* @returns {Promise<MongoProject>} A plain object representing the project document, or `null` if no project is found.
*/
const getProjectById = async function (projectId, fieldsToSelect = null) {
const query = Project.findById(projectId);
@@ -27,7 +27,7 @@ const getProjectById = async function (projectId, fieldsToSelect = null) {
*
* @param {string} projectName - The name of the project to find or create.
* @param {string|string[]} [fieldsToSelect] - The fields to include or exclude in the returned document.
* @returns {Promise<IMongoProject>} A plain object representing the project document.
* @returns {Promise<MongoProject>} A plain object representing the project document.
*/
const getProjectByName = async function (projectName, fieldsToSelect = null) {
const query = { name: projectName };
@@ -47,7 +47,7 @@ const getProjectByName = async function (projectName, fieldsToSelect = null) {
*
* @param {string} projectId - The ID of the project to update.
* @param {string[]} promptGroupIds - The array of prompt group IDs to add to the project.
* @returns {Promise<IMongoProject>} The updated project document.
* @returns {Promise<MongoProject>} The updated project document.
*/
const addGroupIdsToProject = async function (projectId, promptGroupIds) {
return await Project.findByIdAndUpdate(
@@ -62,7 +62,7 @@ const addGroupIdsToProject = async function (projectId, promptGroupIds) {
*
* @param {string} projectId - The ID of the project to update.
* @param {string[]} promptGroupIds - The array of prompt group IDs to remove from the project.
* @returns {Promise<IMongoProject>} The updated project document.
* @returns {Promise<MongoProject>} The updated project document.
*/
const removeGroupIdsFromProject = async function (projectId, promptGroupIds) {
return await Project.findByIdAndUpdate(
@@ -87,7 +87,7 @@ const removeGroupFromAllProjects = async (promptGroupId) => {
*
* @param {string} projectId - The ID of the project to update.
* @param {string[]} agentIds - The array of agent IDs to add to the project.
* @returns {Promise<IMongoProject>} The updated project document.
* @returns {Promise<MongoProject>} The updated project document.
*/
const addAgentIdsToProject = async function (projectId, agentIds) {
return await Project.findByIdAndUpdate(
@@ -102,7 +102,7 @@ const addAgentIdsToProject = async function (projectId, agentIds) {
*
* @param {string} projectId - The ID of the project to update.
* @param {string[]} agentIds - The array of agent IDs to remove from the project.
* @returns {Promise<IMongoProject>} The updated project document.
* @returns {Promise<MongoProject>} The updated project document.
*/
const removeAgentIdsFromProject = async function (projectId, agentIds) {
return await Project.findByIdAndUpdate(

View File

@@ -1,4 +1,3 @@
const mongoose = require('mongoose');
const { ObjectId } = require('mongodb');
const { SystemRoles, SystemCategories, Constants } = require('librechat-data-provider');
const {
@@ -7,13 +6,10 @@ const {
removeGroupIdsFromProject,
removeGroupFromAllProjects,
} = require('./Project');
const { promptGroupSchema, promptSchema } = require('@librechat/data-schemas');
const { Prompt, PromptGroup } = require('./schema/promptSchema');
const { escapeRegExp } = require('~/server/utils');
const { logger } = require('~/config');
const PromptGroup = mongoose.model('PromptGroup', promptGroupSchema);
const Prompt = mongoose.model('Prompt', promptSchema);
/**
* Create a pipeline for the aggregation to get prompt groups
* @param {Object} query

View File

@@ -1,30 +1,29 @@
const mongoose = require('mongoose');
const {
CacheKeys,
SystemRoles,
roleDefaults,
PermissionTypes,
permissionsSchema,
removeNullishValues,
agentPermissionsSchema,
promptPermissionsSchema,
bookmarkPermissionsSchema,
multiConvoPermissionsSchema,
} = require('librechat-data-provider');
const getLogStores = require('~/cache/getLogStores');
const { roleSchema } = require('@librechat/data-schemas');
const Role = require('~/models/schema/roleSchema');
const { logger } = require('~/config');
const Role = mongoose.model('Role', roleSchema);
/**
* Retrieve a role by name and convert the found role document to a plain object.
* If the role with the given name doesn't exist and the name is a system defined role,
* create it and return the lean version.
* If the role with the given name doesn't exist and the name is a system defined role, create it and return the lean version.
*
* @param {string} roleName - The name of the role to find or create.
* @param {string|string[]} [fieldsToSelect] - The fields to include or exclude in the returned document.
* @returns {Promise<Object>} A plain object representing the role document.
*/
const getRoleByName = async function (roleName, fieldsToSelect = null) {
const cache = getLogStores(CacheKeys.ROLES);
try {
const cache = getLogStores(CacheKeys.ROLES);
const cachedRole = await cache.get(roleName);
if (cachedRole) {
return cachedRole;
@@ -36,7 +35,8 @@ const getRoleByName = async function (roleName, fieldsToSelect = null) {
let role = await query.lean().exec();
if (!role && SystemRoles[roleName]) {
role = await new Role(roleDefaults[roleName]).save();
role = roleDefaults[roleName];
role = await new Role(role).save();
await cache.set(roleName, role);
return role.toObject();
}
@@ -55,8 +55,8 @@ const getRoleByName = async function (roleName, fieldsToSelect = null) {
* @returns {Promise<TRole>} Updated role document.
*/
const updateRoleByName = async function (roleName, updates) {
const cache = getLogStores(CacheKeys.ROLES);
try {
const cache = getLogStores(CacheKeys.ROLES);
const role = await Role.findOneAndUpdate(
{ name: roleName },
{ $set: updates },
@@ -72,20 +72,27 @@ const updateRoleByName = async function (roleName, updates) {
}
};
const permissionSchemas = {
[PermissionTypes.AGENTS]: agentPermissionsSchema,
[PermissionTypes.PROMPTS]: promptPermissionsSchema,
[PermissionTypes.BOOKMARKS]: bookmarkPermissionsSchema,
[PermissionTypes.MULTI_CONVO]: multiConvoPermissionsSchema,
};
/**
* Updates access permissions for a specific role and multiple permission types.
* @param {string} roleName - The role to update.
* @param {SystemRoles} roleName - The role to update.
* @param {Object.<PermissionTypes, Object.<Permissions, boolean>>} permissionsUpdate - Permissions to update and their values.
*/
async function updateAccessPermissions(roleName, permissionsUpdate) {
// Filter and clean the permission updates based on our schema definition.
const updates = {};
for (const [permissionType, permissions] of Object.entries(permissionsUpdate)) {
if (permissionsSchema.shape && permissionsSchema.shape[permissionType]) {
if (permissionSchemas[permissionType]) {
updates[permissionType] = removeNullishValues(permissions);
}
}
if (!Object.keys(updates).length) {
if (Object.keys(updates).length === 0) {
return;
}
@@ -95,75 +102,26 @@ async function updateAccessPermissions(roleName, permissionsUpdate) {
return;
}
const currentPermissions = role.permissions || {};
const updatedPermissions = { ...currentPermissions };
const updatedPermissions = {};
let hasChanges = false;
const unsetFields = {};
const permissionTypes = Object.keys(permissionsSchema.shape || {});
for (const permType of permissionTypes) {
if (role[permType] && typeof role[permType] === 'object') {
logger.info(
`Migrating '${roleName}' role from old schema: found '${permType}' at top level`,
);
updatedPermissions[permType] = {
...updatedPermissions[permType],
...role[permType],
};
unsetFields[permType] = 1;
hasChanges = true;
}
}
// Process the current updates
for (const [permissionType, permissions] of Object.entries(updates)) {
const currentTypePermissions = currentPermissions[permissionType] || {};
updatedPermissions[permissionType] = { ...currentTypePermissions };
const currentPermissions = role[permissionType] || {};
updatedPermissions[permissionType] = { ...currentPermissions };
for (const [permission, value] of Object.entries(permissions)) {
if (currentTypePermissions[permission] !== value) {
if (currentPermissions[permission] !== value) {
updatedPermissions[permissionType][permission] = value;
hasChanges = true;
logger.info(
`Updating '${roleName}' role permission '${permissionType}' '${permission}' from ${currentTypePermissions[permission]} to: ${value}`,
`Updating '${roleName}' role ${permissionType} '${permission}' permission from ${currentPermissions[permission]} to: ${value}`,
);
}
}
}
if (hasChanges) {
const updateObj = { permissions: updatedPermissions };
if (Object.keys(unsetFields).length > 0) {
logger.info(
`Unsetting old schema fields for '${roleName}' role: ${Object.keys(unsetFields).join(', ')}`,
);
try {
await Role.updateOne(
{ name: roleName },
{
$set: updateObj,
$unset: unsetFields,
},
);
const cache = getLogStores(CacheKeys.ROLES);
const updatedRole = await Role.findOne({ name: roleName }).select('-__v').lean().exec();
await cache.set(roleName, updatedRole);
logger.info(`Updated role '${roleName}' and removed old schema fields`);
} catch (updateError) {
logger.error(`Error during role migration update: ${updateError.message}`);
throw updateError;
}
} else {
// Standard update if no migration needed
await updateRoleByName(roleName, updateObj);
}
await updateRoleByName(roleName, updatedPermissions);
logger.info(`Updated '${roleName}' role permissions`);
} else {
logger.info(`No changes needed for '${roleName}' role permissions`);
@@ -181,111 +139,33 @@ async function updateAccessPermissions(roleName, permissionsUpdate) {
* @returns {Promise<void>}
*/
const initializeRoles = async function () {
for (const roleName of [SystemRoles.ADMIN, SystemRoles.USER]) {
const defaultRoles = [SystemRoles.ADMIN, SystemRoles.USER];
for (const roleName of defaultRoles) {
let role = await Role.findOne({ name: roleName });
const defaultPerms = roleDefaults[roleName].permissions;
if (!role) {
// Create new role if it doesn't exist.
// Create new role if it doesn't exist
role = new Role(roleDefaults[roleName]);
} else {
// Ensure role.permissions is defined.
role.permissions = role.permissions || {};
// For each permission type in defaults, add it if missing.
for (const permType of Object.keys(defaultPerms)) {
if (role.permissions[permType] == null) {
role.permissions[permType] = defaultPerms[permType];
// Add missing permission types
let isUpdated = false;
for (const permType of Object.values(PermissionTypes)) {
if (!role[permType]) {
role[permType] = roleDefaults[roleName][permType];
isUpdated = true;
}
}
if (isUpdated) {
await role.save();
}
}
await role.save();
}
};
/**
* Migrates roles from old schema to new schema structure.
* This can be called directly to fix existing roles.
*
* @param {string} [roleName] - Optional specific role to migrate. If not provided, migrates all roles.
* @returns {Promise<number>} Number of roles migrated.
*/
const migrateRoleSchema = async function (roleName) {
try {
// Get roles to migrate
let roles;
if (roleName) {
const role = await Role.findOne({ name: roleName });
roles = role ? [role] : [];
} else {
roles = await Role.find({});
}
logger.info(`Migrating ${roles.length} roles to new schema structure`);
let migratedCount = 0;
for (const role of roles) {
const permissionTypes = Object.keys(permissionsSchema.shape || {});
const unsetFields = {};
let hasOldSchema = false;
// Check for old schema fields
for (const permType of permissionTypes) {
if (role[permType] && typeof role[permType] === 'object') {
hasOldSchema = true;
// Ensure permissions object exists
role.permissions = role.permissions || {};
// Migrate permissions from old location to new
role.permissions[permType] = {
...role.permissions[permType],
...role[permType],
};
// Mark field for removal
unsetFields[permType] = 1;
}
}
if (hasOldSchema) {
try {
logger.info(`Migrating role '${role.name}' from old schema structure`);
// Simple update operation
await Role.updateOne(
{ _id: role._id },
{
$set: { permissions: role.permissions },
$unset: unsetFields,
},
);
// Refresh cache
const cache = getLogStores(CacheKeys.ROLES);
const updatedRole = await Role.findById(role._id).lean().exec();
await cache.set(role.name, updatedRole);
migratedCount++;
logger.info(`Migrated role '${role.name}'`);
} catch (error) {
logger.error(`Failed to migrate role '${role.name}': ${error.message}`);
}
}
}
logger.info(`Migration complete: ${migratedCount} roles migrated`);
return migratedCount;
} catch (error) {
logger.error(`Role schema migration failed: ${error.message}`);
throw error;
}
};
module.exports = {
Role,
getRoleByName,
initializeRoles,
updateRoleByName,
updateAccessPermissions,
migrateRoleSchema,
};

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