Package index • elmer

Chatbots

chat_azure(): Chat with Azure OpenAI

chat_claude(): Create a chatbot that speaks to Anthropic's Claude

chat_gemini(): Create a chatbot that speaks to Google's Gemini

chat_github(): Chat with models in the GitHub model marketplace

chat_groq(): Chat with models from Groq

chat_ollama(): Connect to a local ollama instances

chat_openai(): Create a chatbot that speaks to an OpenAI compatible endpoint

chat_perplexity(): Chat with models from perplexity.ai

live_console() live_browser(): Open a live chat application

Tool use

ToolDef() ToolArg(): Define a tool

create_tool_def(): Create metadata for a tool

Images

content_image_url() content_image_file() content_image_plot(): Encode image content for chat input

Objects

These classes abstact across behaviour differences in chat providers so that for typical elmer use you don’t need to worry about them. You’ll need to learn more about the objects if you’re doing something that’s only supported by one provider, or if you’re implementing a new provider.

Turn(): A user or assistant turn

Provider(): A chatbot provider

Content() ContentText() ContentImage() ContentImageRemote() ContentImageInline() ContentToolRequest() ContentToolResult(): Content types received from and sent to a chatbot

Chat: A chat