LibreChat with 6bee.ai

Before you start

• LibreChat running, with access to its librechat.yaml and .env files.
• Create an account with a verified email address, add prepaid balance, then create a key on the console's API keys page. Keep the key secret.
• Model IDs are listed in the console and returned by GET https://api.6bee.ai/v1/models. Replace <model id> with one of them.

Add the endpoint

Put your key in .env as SIXBEE_API_KEY=<your key>, then add this to librechat.yaml:

endpoints:
  custom:
    - name: "6bee"
      apiKey: "${SIXBEE_API_KEY}"
      baseURL: "https://api.6bee.ai/v1"
      models:
        default: ["<model id>"]
        fetch: true
      titleConvo: true
      titleModel: "<model id>"
      modelDisplayLabel: "6bee"

baseURL

https://api.6bee.ai/v1, with /v1.

models.fetch

true pulls the list from GET /v1/models. default is used if that fails.

titleModel

The model that writes chat titles. Each title is a normal, billed request.

Check that it works

1. Restart LibreChat so it reads the file.
2. Pick 6bee in the endpoint menu and send a short message.
3. The request shows up in the console’s usage log.

Shared instances

Input tokens

1,000,000 uncached tokens per rolling minute. Cache hits don’t count.

Requests

60 per minute.

Concurrency

2 requests at a time.

Everyone who uses your LibreChat shares your key, your balance and these limits. The Terms do not allow reselling access or sharing keys without permission.

Troubleshooting

HTTP 401

The key is missing or wrong. Copy it again from the console, without spaces or quotes.

Model not found

The model ID does not match. List the valid IDs with GET /v1/models or check the console.

HTTP 429

You are over a per-account limit (requests, input tokens or concurrency). The Retry-After header says how long to wait.

HTTP 400 on long sessions

The request no longer fits the model’s context window. Compact or clear the conversation, or switch to a model with a larger window.

Request rejected for balance

Each request first reserves its input plus max_tokens of output. Top up, or lower max_tokens.