aichat/config.example.yaml

model: openai:gpt-3.5-turbo      # Specify the language model to use
temperature: null                # Set default temperature parameter
top_p: null                      # Set default top-p parameter
save: true                       # Indicates whether to persist the message
save_session: null               # Controls the persistence of the session, if null, asking the user
highlight: true                  # Controls syntax highlighting
light_theme: false               # Activates a light color theme when true
wrap: no                         # Controls text wrapping (no, auto, <max-width>)
wrap_code: false                 # Enables or disables wrapping of code blocks
auto_copy: false                 # Enables or disables automatic copying the last LLM response to the clipboard 
keybindings: emacs               # Choose keybinding style (emacs, vi)
prelude: null                    # Set a default role or session to start with (role:<name>, session:<name>)

# Command that will be used to edit the current line buffer with ctrl+o
# if unset fallback to $EDITOR and $VISUAL
buffer_editor: null

# Compress session when token count reaches or exceeds this threshold (must be at least 1000)
compress_threshold: 1000
# Text prompt used for creating a concise summary of session message
summarize_prompt: 'Summarize the discussion briefly in 200 words or less to use as a prompt for future context.'
# Text prompt used for including the summary of the entire session
summary_prompt: 'This is a summary of the chat history as a recap: '

# Custom REPL prompt, see https://github.com/sigoden/aichat/wiki/Custom-REPL-Prompt
left_prompt: '{color.green}{?session {session}{?role /}}{role}{color.cyan}{?session )}{!session >}{color.reset} '
right_prompt: '{color.purple}{?session {?consume_tokens {consume_tokens}({consume_percent}%)}{!consume_tokens {consume_tokens}}}{color.reset}'

clients:
  # All clients have the following configuration:
  # - type: xxxx
  #   name: xxxx                                      # Only use it to distinguish clients with the same client type. Optional
  #   models:
  #     - name: xxxx                                  # The model name
  #       max_input_tokens: 100000                    # Optional field
  #       max_output_tokens: 4096                     # Optional field
  #       capabilities: text,vision                   # Optional field, supported capabilities: text, vision
  #       extra_fields:                               # Optional field, set custom parameters, will merge with the body json
  #          key: value                               
  #   extra:
  #     proxy: socks5://127.0.0.1:1080                # Specify https/socks5 proxy server. Note HTTPS_PROXY/ALL_PROXY also works.
  #     connect_timeout: 10                           # Set a timeout in seconds for connect to server

  # See https://platform.openai.com/docs/quickstart
  - type: openai
    api_key: sk-xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
    api_base: https://api.openai.com/v1               # Optional field
    organization_id: org-xxxxxxxxxxxxxxxxxxxxxxxx     # Optional field

  # See https://ai.google.dev/docs
  - type: gemini
    api_key: xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
    # Optional field, possible values: BLOCK_NONE, BLOCK_ONLY_HIGH, BLOCK_MEDIUM_AND_ABOVE, BLOCK_LOW_AND_ABOVE
    block_threshold: BLOCK_NONE

  # See https://docs.anthropic.com/claude/reference/getting-started-with-the-api
  - type: claude
    api_key: sk-ant-xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx

  # See https://docs.mistral.ai/
  - type: mistral
    api_key: xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx

  # See https://docs.cohere.com/docs/the-cohere-platform
  - type: cohere
    api_key: xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx

  # See https://console.groq.com/docs/quickstart
  - type: groq
    api_key: gsk_xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx

  # Any openai-compatible API providers 
  - type: openai-compatible
    name: localai
    api_base: http://localhost:8080/v1
    api_key: sk-xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
    chat_endpoint: /chat/completions                  # Optional field
    models:
      - name: llama2
        max_input_tokens: 8192
        extra_fields:                                 # Optional field, set custom parameters
          key: value
      - name: llava
        max_input_tokens: 8192
        capabilities: text,vision                     # Optional field, choices: text, vision

  # See https://github.com/jmorganca/ollama
  - type: ollama
    api_base: http://localhost:11434
    api_key: Basic xxx                                # Set authorization header
    chat_endpoint: /api/chat                          # Optional field
    models:
      - name: llama2
        max_input_tokens: 8192

  # See https://learn.microsoft.com/en-us/azure/ai-services/openai/chatgpt-quickstart
  - type: azure-openai
    api_base: https://{RESOURCE}.openai.azure.com
    api_key: xxx
    models:
      - name: MyGPT4                                  # Model deployment name
        max_input_tokens: 8192

  # See https://cloud.google.com/vertex-ai
  - type: vertexai
    api_base: https://{REGION}-aiplatform.googleapis.com/v1/projects/{PROJECT_ID}/locations/{REGION}/publishers/google/models
    # Specifies a application-default-credentials (adc) file, Optional field
    # Run `gcloud auth application-default login` to init the adc file
    # see https://cloud.google.com/docs/authentication/external/set-up-adc
    adc_file: <path-to/gcloud/application_default_credentials.json> 
    # Optional field, possible values: BLOCK_NONE, BLOCK_ONLY_HIGH, BLOCK_MEDIUM_AND_ABOVE, BLOCK_LOW_AND_ABOVE
    block_threshold: BLOCK_ONLY_HIGH

  # See https://cloud.baidu.com/doc/WENXINWORKSHOP/index.html
  - type: ernie
    api_key: xxxxxxxxxxxxxxxxxxxxxxxx
    secret_key: xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx

  # See https://help.aliyun.com/zh/dashscope/
  - type: qianwen
    api_key: sk-xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx