1. Muuda librechat.yaml
Lisa kohandatud endpoint endpoints.custom alla avots base URL-i ja oma võtmega.
Lisa librechat.yaml-i üks custom endpoint plokk, ja avots ilmub pakkujana kõigi mudelitega ühe saldoga.
LibreChat loeb kohandatud pakkujaid failist librechat.yaml. Üks endpoint plokk lisab 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 |
Lisa kohandatud endpoint endpoints.custom alla avots base URL-i ja oma võtmega.
Lisa oma .env faili AVOTS_API_KEY=av_mcp_YOUR_KEY ja viita sellele kui ${AVOTS_API_KEY}.
Taaskäivita ja vali avots endpoint iks. Määra models.fetch väärtuseks true, et mudelid /models kaudu automaatselt loetleda.
endpoints:
custom:
- name: "avots"
apiKey: "${AVOTS_API_KEY}"
baseURL: "https://api.avots.ai/openai/v1"
models:
default: ["anthropic/claude-sonnet-4.6"]
fetch: true
titleConvo: true
modelDisplayLabel: "avots"
apiKey aktsepteerib ka otsest võtit või väärtust "user_provided" (iga kasutaja sisestab oma). Kui endpoint lükkab tagasi mõne vaikimisi OpenAI parameetri, lisa see dropParams alla.
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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