1. librechat.yaml bearbeiten
Fügen Sie unter endpoints.custom einen benutzerdefinierten Endpoint mit der avots-Basis-URL und Ihrem Schlüssel hinzu.
Füge librechat.yaml einen custom endpoint Block hinzu, und avots erscheint als Anbieter mit allen Modellen auf einem einzigen Guthaben.
LibreChat liest benutzerdefinierte Anbieter aus librechat.yaml. Ein Endpoint-Block fügt avots hinzu.
| 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 |
Fügen Sie unter endpoints.custom einen benutzerdefinierten Endpoint mit der avots-Basis-URL und Ihrem Schlüssel hinzu.
Fügen Sie AVOTS_API_KEY=av_mcp_YOUR_KEY zu Ihrer .env hinzu und referenzieren Sie ihn als ${AVOTS_API_KEY}.
Starten Sie neu und wählen Sie avots als Endpoint. Setzen Sie models.fetch auf true, um Modelle automatisch von /models aufzulisten.
endpoints:
custom:
- name: "avots"
apiKey: "${AVOTS_API_KEY}"
baseURL: "https://api.avots.ai/openai/v1"
models:
default: ["anthropic/claude-sonnet-4.6"]
fetch: true
titleConvo: true
modelDisplayLabel: "avots"
apiKey akzeptiert auch einen wörtlichen Schlüssel oder "user_provided" (jeder Nutzer gibt seinen eigenen ein). Wenn der Endpoint einen OpenAI-Standardparameter ablehnt, fügen Sie ihn zu dropParams hinzu.
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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