Tools and integrations
Give agents access to the systems your teams already depend on without stitching together brittle custom adapters.
Go from chatbot to general-purpose agent in five lines of code, with the product surfaces, execution controls, and operator visibility teams need to ship with confidence.
tools = session.tools() agent = Agent( name="Assistant", tools=tools, )
Give agents access to the systems your teams already depend on without stitching together brittle custom adapters.
Move from tool lists to real actions with execution plans, sandboxed steps, and visible operator controls.
Keep every session tied to the right user, the right accounts, and the right permissions as workflows scale.
Filter the right actions for the task without overwhelming the model with irrelevant surface area.
Review what the agent is about to do before it touches external systems or real data.
Keep user-level auth state visible so the platform knows what each workflow can safely execute.
Insert human checkpoints for sensitive actions so teams can approve, reject, or redirect live workflows.
Run tool code in isolated environments with execution traces, outputs, and durable operator visibility.
Track every tool call, auth decision, and workflow outcome in a durable record operators can review later.
session = bellowa.create(user_id="user_123")
tools = session.tools()
conn = session.authorize("github")Start with a session, resolve tools, and hand them to your agent stack without rebuilding auth or integration plumbing.
Use OpenAI, Anthropic, LangChain, CrewAI, MCP clients, or your own orchestration layer without changing the platform model.
Each session carries its own auth state, tool surface, and workflow context so your agents do not start from scratch.
Designed for teams that need stronger boundaries, clearer auditability, and deployment models that fit how they already operate.
Designed for teams that need stronger boundaries, clearer auditability, and deployment models that fit how they already operate.
Designed for teams that need stronger boundaries, clearer auditability, and deployment models that fit how they already operate.
Designed for teams that need stronger boundaries, clearer auditability, and deployment models that fit how they already operate.
Most teams can get from first session to real tool execution in hours, then expand into broader operator workflows as they harden production paths.
Yes. The platform is designed to support MCP client flows as well as direct SDK and application-driven orchestration patterns.
Bellowa keeps auth scoped to the right session and user context so agents execute with the intended tools, accounts, and permissions.
The platform supports security-forward deployment patterns, including strong controls, auditability, and private infrastructure options for teams that need them.