1. Edytuj librechat.yaml
Dodaj niestandardowy endpoint pod endpoints.custom z bazowym adresem URL avots i swoim kluczem.
Dodaj jeden blok custom endpoint do librechat.yaml, a avots pojawi się jako dostawca ze wszystkimi modelami, na jednym saldzie.
LibreChat odczytuje niestandardowych dostawców z librechat.yaml. Jeden blok endpointu dodaje avots.
| Field | Value |
|---|---|
| Base URL | https://api.avots.ai/openai/v1 |
| API key | av_mcp_… · get your key |
| Model | anthropic/claude-sonnet-4.6 or any id from the table below |
Dodaj niestandardowy endpoint pod endpoints.custom z bazowym adresem URL avots i swoim kluczem.
Dodaj AVOTS_API_KEY=av_mcp_YOUR_KEY do swojego .env i odwołuj się do niego jako ${AVOTS_API_KEY}.
Zrestartuj i wybierz avots jako endpoint. Ustaw models.fetch na true, aby automatycznie pobierać listę modeli z /models.
endpoints:
custom:
- name: "avots"
apiKey: "${AVOTS_API_KEY}"
baseURL: "https://api.avots.ai/openai/v1"
models:
default: ["anthropic/claude-sonnet-4.6"]
fetch: true
titleConvo: true
modelDisplayLabel: "avots"apiKey przyjmuje też dosłowny klucz lub "user_provided" (każdy użytkownik wpisuje własny). Jeśli endpoint odrzuca domyślny parametr OpenAI, dodaj go do dropParams.
curl https://api.avots.ai/openai/v1/chat/completions \
-H "Authorization: Bearer av_mcp_YOUR_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "anthropic/claude-sonnet-4.6",
"messages": [{"role": "user", "content": "Hello!"}]
}'LibreChat keeps the chat provider and MCP servers in the same file, so you paste both at once and get Claude, GPT and Gemini plus the avots creative tools (image, video, audio, talking avatars) on one av_mcp_ key. You save it yourself, nothing is added automatically.
endpoints:
custom:
- name: "avots"
apiKey: "${AVOTS_API_KEY}"
baseURL: "https://api.avots.ai/openai/v1"
models:
default: ["anthropic/claude-sonnet-4.6"]
fetch: true
modelDisplayLabel: "avots"
mcpServers:
avots:
type: streamable-http
url: "https://mcp.avots.ai/"
headers:
Authorization: "Bearer ${AVOTS_API_KEY}"Set the model field to any id below, or a lazy name like claude / gpt / gemini that maps to a sensible default.
| Model | Best for | ⚡ / 1M tokens (in / out) |
|---|---|---|
openai/gpt-5.5-pro | Max intelligence, hardest tasks | 60 000 / 360 000 |
anthropic/claude-opus-5 | Top Claude, long reasoning | 10 000 / 50 000 |
anthropic/claude-sonnet-4.6 | Balanced (default) | 6 000 / 30 000 |
google/gemini-3.1-pro-preview | Fresh Gemini Pro | 4 000 / 24 000 |
google/gemini-2.5-pro | Stable Gemini Pro | 2 500 / 20 000 |
anthropic/claude-haiku-4.5 | Fast Claude | 2 000 / 10 000 |
deepseek/deepseek-r1 | Cheap reasoning | 1 400 / 5 000 |
google/gemini-2.5-flash | Fast and cheap | 600 / 5 000 |
openai/gpt-5-mini | Cheap OpenAI | 500 / 4 000 |
openai/gpt-oss-120b:free | Free (OpenAI open model, needs a positive balance) | Free |
* Price in ⚡ per 1,000,000 tokens, input / output (1000⚡ ≈ $1). Free models need a positive balance. Full list via GET /openai/v1/models.
Generate an av_mcp_ key in Settings, paste three fields, and reach 40+ models on one balance. The same key works for MCP.
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