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* WIP(backend/api): custom endpoint * WIP(frontend/client): custom endpoint * chore: adjust typedefs for configs * refactor: use data-provider for cache keys and rename enums and custom endpoint for better clarity and compatibility * feat: loadYaml utility * refactor: rename back to from and proof-of-concept for creating schemas from user-defined defaults * refactor: remove custom endpoint from default endpointsConfig as it will be exclusively managed by yaml config * refactor(EndpointController): rename variables for clarity * feat: initial load custom config * feat(server/utils): add simple `isUserProvided` helper * chore(types): update TConfig type * refactor: remove custom endpoint handling from model services as will be handled by config, modularize fetching of models * feat: loadCustomConfig, loadConfigEndpoints, loadConfigModels * chore: reorganize server init imports, invoke loadCustomConfig * refactor(loadConfigEndpoints/Models): return each custom endpoint as standalone endpoint * refactor(Endpoint/ModelController): spread config values after default (temporary) * chore(client): fix type issues * WIP: first pass for multiple custom endpoints - add endpointType to Conversation schema - add update zod schemas for both convo/presets to allow non-EModelEndpoint value as endpoint (also using type assertion) - use `endpointType` value as `endpoint` where mapping to type is necessary using this field - use custom defined `endpoint` value and not type for mapping to modelsConfig - misc: add return type to `getDefaultEndpoint` - in `useNewConvo`, add the endpointType if it wasn't already added to conversation - EndpointsMenu: use user-defined endpoint name as Title in menu - TODO: custom icon via custom config, change unknown to robot icon * refactor(parseConvo): pass args as an object and change where used accordingly; chore: comment out 'create schema' code * chore: remove unused availableModels field in TConfig type * refactor(parseCompactConvo): pass args as an object and change where used accordingly * feat: chat through custom endpoint * chore(message/convoSchemas): avoid saving empty arrays * fix(BaseClient/saveMessageToDatabase): save endpointType * refactor(ChatRoute): show Spinner if endpointsQuery or modelsQuery are still loading, which is apparent with slow fetching of models/remote config on first serve * fix(useConversation): assign endpointType if it's missing * fix(SaveAsPreset): pass real endpoint and endpointType when saving Preset) * chore: recorganize types order for TConfig, add `iconURL` * feat: custom endpoint icon support: - use UnknownIcon in all icon contexts - add mistral and openrouter as known endpoints, and add their icons - iconURL support * fix(presetSchema): move endpointType to default schema definitions shared between convoSchema and defaults * refactor(Settings/OpenAI): remove legacy `isOpenAI` flag * fix(OpenAIClient): do not invoke abortCompletion on completion error * feat: add responseSender/label support for custom endpoints: - use defaultModelLabel field in endpointOption - add model defaults for custom endpoints in `getResponseSender` - add `useGetSender` hook which uses EndpointsQuery to determine `defaultModelLabel` - include defaultModelLabel from endpointConfig in custom endpoint client options - pass `endpointType` to `getResponseSender` * feat(OpenAIClient): use custom options from config file * refactor: rename `defaultModelLabel` to `modelDisplayLabel` * refactor(data-provider): separate concerns from `schemas` into `parsers`, `config`, and fix imports elsewhere * feat: `iconURL` and extract environment variables from custom endpoint config values * feat: custom config validation via zod schema, rename and move to `./projectRoot/librechat.yaml` * docs: custom config docs and examples * fix(OpenAIClient/mistral): mistral does not allow singular system message, also add `useChatCompletion` flag to use openai-node for title completions * fix(custom/initializeClient): extract env var and use `isUserProvided` function * Update librechat.example.yaml * feat(InputWithLabel): add className props, and forwardRef * fix(streamResponse): handle error edge case where either messages or convos query throws an error * fix(useSSE): handle errorHandler edge cases where error response is and is not properly formatted from API, especially when a conversationId is not yet provided, which ensures stream is properly closed on error * feat: user_provided keys for custom endpoints * fix(config/endpointSchema): do not allow default endpoint values in custom endpoint `name` * feat(loadConfigModels): extract env variables and optimize fetching models * feat: support custom endpoint iconURL for messages and Nav * feat(OpenAIClient): add/dropParams support * docs: update docs with default params, add/dropParams, and notes to use config file instead of `OPENAI_REVERSE_PROXY` * docs: update docs with additional notes * feat(maxTokensMap): add mistral models (32k context) * docs: update openrouter notes * Update ai_setup.md * docs(custom_config): add table of contents and fix note about custom name * docs(custom_config): reorder ToC * Update custom_config.md * Add note about `max_tokens` field in custom_config.md
56 lines
3.5 KiB
Markdown
56 lines
3.5 KiB
Markdown
---
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title: 💸 Free AI APIs
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description: There are APIs offering free/free-trial access to AI APIs via reverse proxy...
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weight: -6
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---
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# Free AI APIs
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There are APIs offering free/free-trial access to AI APIs via reverse proxy.
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Here is a well-maintained public list of **[Free AI APIs](https://github.com/zukixa/cool-ai-stuff)** that may or may not be compatible with LibreChat
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> ⚠️ **[OpenRouter](./ai_setup.md#openrouter)** is in a category of its own, and is highly recommended over the "free" services below. NagaAI and other 'free' API proxies tend to have intermittent issues, data leaks, and/or problems with the guidelines of the platforms they advertise on. Use the below at your own risk.
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### NagaAI
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Since NagaAI works with LibreChat, and offers Llama2 along with OpenAI models, let's start with that one: **[NagaAI](https://t.me/chimera_ai)**
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> ⚠️ Never trust 3rd parties. Use at your own risk of privacy loss. Your data may be used for AI training at best or for nefarious reasons at worst; this is true in all cases, even with official endpoints: never give an LLM sensitive/identifying information. If something is free, you are the product. If errors arise, they are more likely to be due to the 3rd party, and not this project, as I test the official endpoints first and foremost.
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You will get your API key from the discord server. The instructions are pretty clear when you join so I won't repeat them.
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Once you have the API key, you should adjust your .env file like this:
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```bash
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##########################
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# OpenAI Endpoint:
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##########################
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OPENAI_API_KEY=your-naga-ai-api-key
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# Reverse proxy settings for OpenAI:
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OPENAI_REVERSE_PROXY=https://api.naga.ac/v1/chat/completions
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# OPENAI_MODELS=gpt-3.5-turbo,gpt-3.5-turbo-16k,gpt-3.5-turbo-0301,text-davinci-003,gpt-4,gpt-4-0314,gpt-4-0613
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```
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**Important**: As of v0.6.6, it's recommend you use the `librechat.yaml` [Configuration file (guide here)](./custom_config.md) to add Reverse Proxies as separate endpoints.
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**Note:** The `OPENAI_MODELS` variable is commented out so that the server can fetch nagaai/api/v1/models for all available models. Uncomment and adjust if you wish to specify which exact models you want to use.
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It's worth noting that not all models listed by their API will work, with or without this project. The exact URL may also change, just make sure you include `/v1/chat/completions` in the reverse proxy URL if it ever changes.
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You can set `OPENAI_API_KEY=user_provided` if you would like the user to add their own NagaAI API key, just be sure you specify the models with `OPENAI_MODELS` in this case since they won't be able to be fetched without an admin set API key.
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## That's it! You're all set. 🎉
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### Here's me using Llama2 via NagaAI
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### Plugins also work with this reverse proxy (OpenAI models). [More info on plugins here](https://docs.librechat.ai/features/plugins/introduction.html)
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---
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>⚠️ Note: If you're having trouble, before creating a new issue, please search for similar ones on our [#issues thread on our discord](https://discord.gg/weqZFtD9C4) or our [troubleshooting discussion](https://github.com/danny-avila/LibreChat/discussions/categories/troubleshooting) on our Discussions page. If you don't find a relevant issue, feel free to create a new one and provide as much detail as possible.
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