Use Honcho to build a Telegram bot with conversational memory and context management.
Example code is available on GitHubAny application interface that defines logic based on events and supports special commands can work easily with Honcho. Here’s how to use Honcho with Telegram as an interface. If you’re not familiar with Telegram bot development, the python-telegram-bot docs would be a good place to start.
python-telegram-bot
that processes incoming messages. We use a helper function validate_message()
to check if the message should be processed.
to_openai()
method to automatically convert the session context into the format expected by OpenAI’s chat completions API.
add_messages()
method. The peer.message()
creates a message from the user, while assistant.message()
creates a message from the assistant.
/dialectic
command using Honcho’s dialectic feature:
/start
command for user onboarding:
honcho_client
: The main Honcho clientassistant
: A peer representing the bot/assistantopenai
: OpenAI client configured to use OpenRoutersession.get_context().to_openai()
automatically formats chat historysession.add_messages()
stores both user and assistant messagespeer.chat()
enables querying conversation history/start
and /dialectic