Hermes ar Claude, GPT un Gemini

Iestati OpenAI base URL un savu av_mcp_ atslēgu Hermes, izvēlies modeli, un tas darbojas caur avots ar 40+ modeļiem vienā bilancē.

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Connect in three fields

Hermes darbojas ar jebkuru OpenAI-compatible API. Novirziet to uz avots ar base URL, atslēgu un modeli.

FieldValue
Base URLhttps://api.avots.ai/openai/v1
API keyav_mcp_… · get your key
Modelanthropic/claude-sonnet-4.6 or any id from the table below

Setup

1. Atveriet Hermes iestatījumus

Hermes Agent CLI palaidiet hermes model un izvēlieties Custom Endpoint, vai atveriet Settings ekrānu Hermes darbvirsmas versijā.

2. Iestatiet base URL un atslēgu

Ievadiet https://api.avots.ai/openai/v1 kā endpoint un savu av_mcp_ atslēgu kā API atslēgu. Uz .env balstītās versijās izmantojiet BASE_URL un OPENAI_API_KEY.

3. Izvēlieties modeli

Iestatiet modeli uz anthropic/claude-sonnet-4.6 vai jebkuru id no tabulas.

Hermes · .env (desktop builds)
BASE_URL=https://api.avots.ai/openai/v1
OPENAI_API_KEY=av_mcp_YOUR_KEY
MODEL=anthropic/claude-sonnet-4.6

Hermes ir pieejams vairākos variantos (Hermes Agent CLI un kopienas darbvirsmas atzari), un lauku nosaukumi katrā versijā nedaudz atšķiras (BASE_URL, API Endpoint un tā tālāk). Nemainīgas vienmēr ir avots base URL, jūsu av_mcp_ atslēga un modeļa id; precīzo apzīmējumu pārbaudiet savas versijas README.

Example request

curl
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!"}]
  }'

The same key also unlocks MCP tools

Your av_mcp_ key is not only for chat. avots also runs as an MCP server, so Hermes can call avots creative tools, image, video, music, talking avatars, on the same key and the same balance.

FieldValue
MCP serverhttps://mcp.avots.ai/
API keyav_mcp_… · same key as above

MCP setup guide →

Models and prices

Set the model field to any id below, or a lazy name like claude / gpt / gemini that maps to a sensible default.

ModelBest for⚡ / 1M tokens (in / out)
openai/gpt-5.5-proMax intelligence, hardest tasks60 000 / 360 000
anthropic/claude-opus-5Top Claude, long reasoning10 000 / 50 000
anthropic/claude-sonnet-4.6Balanced (default)6 000 / 30 000
google/gemini-3.1-pro-previewFresh Gemini Pro4 000 / 24 000
google/gemini-2.5-proStable Gemini Pro2 500 / 20 000
anthropic/claude-haiku-4.5Fast Claude2 000 / 10 000
deepseek/deepseek-r1Cheap reasoning1 400 / 5 000
google/gemini-2.5-flashFast and cheap600 / 5 000
openai/gpt-5-miniCheap OpenAI500 / 4 000
openai/gpt-oss-120b:freeFree (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.

Hermes ar Claude, GPT un Gemini

Generate an av_mcp_ key in Settings, paste three fields, and reach 40+ models on one balance. The same key works for MCP.

Iegūt API atslēgu ✦
FAQ

Jautājumi

Kurš Hermes tas ir?
Jebkurš OpenAI-compatible Hermes klients, Hermes Agent CLI vai darbvirsmas atzars. Iestatīšana ir vienāda: base URL, atslēga un modelis.
CLI vai darbvirsma?
Abi. CLI izmanto hermes model → Custom Endpoint; darbvirsmas versijas piedāvā Settings laukus vai .env.
Ko darīt, ja mans lauks saucas citādi?
Apzīmējumi atšķiras pa versijām (BASE_URL pret API Endpoint). Ievietojiet avots base URL tur, kur paredzēta OpenAI base URL.
Kā par to maksā?
Par katru pieprasījumu no jūsu avots bilances.
Does it support function calling and tools?
Yes. The endpoint forwards the standard OpenAI tools, tool_choice and parallel_tool_calls fields (and the legacy functions/function_call), in both streaming and non-streaming mode, so agent frameworks like LangChain, LlamaIndex, Langflow and n8n get real tool_calls back. Whether a given request uses tools depends on the model you pick: Claude, GPT and Gemini all support function calling.

Citi klienti

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