1. Atveriet config.yaml
Atveriet ~/.continue/config.yaml, pašreizējo Continue konfigurācijas formātu. Windows tas ir .continue mape jūsu lietotāja profilā.
Pievienojiet vienu models ierakstu Continue failā config.yaml ar sniedzēju openai un avots base URL, un VS Code vai JetBrains asistents darbojas uz avots.
Continue nolasa modeļus no config.yaml. Pievienojiet openai sniedzēju, kas norāda 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 |
Atveriet ~/.continue/config.yaml, pašreizējo Continue konfigurācijas formātu. Windows tas ir .continue mape jūsu lietotāja profilā.
Pievienojiet ierakstu zem models ar sniedzēju openai, apiBase iestatītu uz avots base URL, savu av_mcp_ atslēgu un modeļa id.
Saglabājiet, pārlādējiet Continue un izvēlieties jauno modeli asistenta nolaižamajā izvēlnē.
models:
- name: Claude Sonnet (avots)
provider: openai
model: anthropic/claude-sonnet-4.6
apiBase: https://api.avots.ai/openai/v1
apiKey: av_mcp_YOUR_KEY
provider jābūt openai (vispārīgais OpenAI-compatible adapteris), nevis anthropic, citādi Continue izmanto vietējo Anthropic API. Saglabājiet /v1 uz apiBase. config.yaml aizstāj veco config.json; ja parādās straumēšanas vai Responses-API kļūdas, pievienojiet useResponsesApi: false.
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!"}]
}'
Continue 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.
models:
- name: Claude Sonnet (avots)
provider: openai
model: anthropic/claude-sonnet-4.6
apiBase: https://api.avots.ai/openai/v1
apiKey: av_mcp_YOUR_KEY
mcpServers:
- name: avots
type: streamable-http
url: https://mcp.avots.ai/
requestOptions:
headers:
Authorization: Bearer av_mcp_YOUR_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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