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NeonAI LLM Gemini

Proxies API calls to Google Gemini.

Request Format

API requests should include history, a list of tuples of strings, and the current query

Example Request:

{
 "history": [["user", "hello"], ["llm", "hi"]],
 "query": "how are you?"
}

Response Format

Responses will be returned as dictionaries. Responses should contain the following:

  • response - String LLM response to the query

Docker Configuration

When running this as a docker container, the XDG_CONFIG_HOME envvar is set to /config. A configuration file at /config/neon/diana.yaml is required and should look like:

MQ:
  port: <MQ Port>
  server: <MQ Hostname or IP>
  users:
    neon_llm_gemini:
      password: <neon_gemini user's password>
      user: neon_gemini
LLM_GEMINI:
  model: "gemini-pro"
  key_path: ""
  role: "You are trying to give a short answer in less than 40 words."
  context_depth: 3
  max_tokens: 100
  num_parallel_processes: 2

For example, if your configuration resides in ~/.config:

export CONFIG_PATH="/home/${USER}/.config"
docker run -v ${CONFIG_PATH}:/config neon_llm_gemini

Note: If connecting to a local MQ server, you may need to specify --network host