LiteLLM Memory

Keep up to three previous runs in context and inspect session messages using an in-memory database.

memory.py
"""
Litellm Memory
==============

Cookbook example for `litellm/memory.py`.
"""

from agno.agent import Agent
from agno.models.litellm import LiteLLM
from rich.pretty import pprint

# ---------------------------------------------------------------------------
# Create Agent
# ---------------------------------------------------------------------------

agent = Agent(
    model=LiteLLM(id="gpt-5.6-luna"),
    # Set add_history_to_context=true to add the previous chat history to the context sent to the Model.
    add_history_to_context=True,
    # Number of historical responses to add to the messages.
    num_history_runs=3,
    description="You are a helpful assistant that always responds in a polite, upbeat and positive manner.",
)

# -*- Create a run
agent.print_response("Share a 2 sentence horror story", stream=True)
# -*- Print the messages in the memory
pprint(
    [m.model_dump(include={"role", "content"}) for m in agent.get_session_messages()]
)

# -*- Ask a follow up question that continues the conversation
agent.print_response("What was my first message?", stream=True)
# -*- Print the messages in the memory
pprint(
    [m.model_dump(include={"role", "content"}) for m in agent.get_session_messages()]
)

# ---------------------------------------------------------------------------
# Run Agent
# ---------------------------------------------------------------------------

if __name__ == "__main__":
    pass

Run the Example

Set up your virtual environment

uv venv --python 3.12
source .venv/bin/activate

Install dependencies

uv pip install -U agno litellm

Set your OpenAI credentials

Use an OpenAI API key with access to the requested model. The LiteLLM SDK calls the provider directly. An existing LITELLM_API_KEY overrides provider-specific credentials, so clear it for this example.

unset LITELLM_API_KEY
export OPENAI_API_KEY="your_provider_api_key_here"

Set compatible sampling options

Add temperature=None, top_p=None to every LiteLLM(...) using id="gpt-5.6-luna" or id="openai/gpt-5.6-luna" in your saved file. The adapter defaults to temperature=0.7 and top_p=1.0; the LiteLLM SDK rejects those sampling settings for this model's default reasoning mode before sending a request.

Add a session database

Import InMemoryDb with from agno.db.in_memory import InMemoryDb, then add db=InMemoryDb() to the Agent constructor. Keep add_history_to_context=True and num_history_runs=3. This store lasts for the current Python process; use a persistent database when history must survive a restart.

Run the example

Save the code above as memory.py, then run:

python memory.py

Full source: cookbook/90_models/litellm/memory.py