1. Atveriet LLM iestatījumus
Dodieties uz Settings → AI Providers → LLM un izvēlieties Generic OpenAI kā sniedzēju.
Izvēlieties Generic OpenAI kā LLM sniedzēju programmā AnythingLLM, aizpildiet avots base URL, atslēgu, modeli un kontekstu, un tērzējiet ar saviem dokumentiem uz avots.
AnythingLLM ir Generic OpenAI sniedzējs jebkuram OpenAI-compatible endpoint. Novirziet to uz 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 |
Dodieties uz Settings → AI Providers → LLM un izvēlieties Generic OpenAI kā sniedzēju.
Iestatiet Base URL uz https://api.avots.ai/openai/v1, API Key uz savu av_mcp_ atslēgu un Chat Model Name uz anthropic/claude-sonnet-4.6.
Ievadiet sava modeļa Token context window un Max Tokens vērtību, tad saglabājiet.
LLM Provider: Generic OpenAI
Base URL: https://api.avots.ai/openai/v1
API Key: av_mcp_YOUR_KEY
Chat Model Name: anthropic/claude-sonnet-4.6
Token context window: 200000
Max Tokens: 4096
Generic OpenAI nav modeļu automātiskās atklāšanas, ierakstiet precīzu Chat Model Name ar roku. Iestatiet Token context window un Max Tokens pareizi, nepareizas vērtības klusi saīsina kontekstu vai rada kļūdu. Tas konfigurē tikai tērzēšanas LLM, iegultnes ir atsevišķs sniedzējs.
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!"}]
}'
Your av_mcp_ key is not only for chat. avots also runs as an MCP server, so AnythingLLM can call avots creative tools, image, video, music, talking avatars, on the same key and the same balance.
| Field | Value |
|---|---|
| MCP server | https://mcp.avots.ai/ |
| API key | av_mcp_… · same key as above |
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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