Timestep (Python)
Python bindings for the Timestep Agents SDK. See the root README.md for the full story; this file highlights Python-specific setup.
Install
pip install timestep
Prerequisites (Python)
OPENAI_API_KEY- PostgreSQL: Set
PG_CONNECTION_URI=postgresql://user:pass@host/db
Quick start
from timestep import run_agent, RunStateStore
from agents import Agent, Session
agent = Agent(model="gpt-4.1")
session = Session()
state_store = RunStateStore(agent=agent, session_id=await session._get_session_id())
result = await run_agent(agent, input_items, session, stream=False)
if result.interruptions:
await state_store.save(result.to_state())
Cross-language resume
Save in Python, load in TypeScript with the same session_id and RunStateStore.load().
Model routing
Use MultiModelProvider if you need OpenAI + Ollama routing:
from timestep import MultiModelProvider, MultiModelProviderMap, OllamaModelProvider
provider_map = MultiModelProviderMap()
provider_map.add_provider("ollama", OllamaModelProvider())
model_provider = MultiModelProvider(provider_map=provider_map)
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