How to Build & Run an Agent with Portia?

Building Smart, Secure AI Agents with Portia Labs

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1. 🤖 What is Portia AI?

2. ✨ Key Features of Portia AI

3. 📚 How to Build & Run an Agent with Portia?

4. 💼 Why Choose Portia AI?

5. 🌟 Benefits of Using Portia AI

What is Portia AI?

In the age of autonomous systems and intelligent agents, developers are looking for tools that allow them to build structured and accountable AI workflows. That’s where Portia AI comes in—a powerful, developer-friendly platform for creating agents that are not just smart, but also secure, transparent, and controllable.

With Portia, LLMs (like GPT) can generate and execute multi-step plans, pause for human input, authenticate user access, and interact with APIs or tools—all while giving you full control over how they behave. Whether you're building a smart assistant, workflow automator, or internal AI tool, Portia enables robust agent management from planning to execution.

Key Features of Portia AI

🧠 Structured Agent Planning

• Agents generate detailed, step-by-step plans before execution.

• Plans can be templated, reused, or manually written for high predictability.

🔒 Built-in Authentication

• Secure access to third-party tools with runtime authentication.

• Use Portia’s clarification interface to gather credentials securely.

⚙️ Multi-Agent Coordination

• Run multiple agents that collaborate on tasks.

• Pause workflows for human input or conditional logic.

🔗 Tool Integration & Extensibility

• Connect agents to tools like Gmail, GitHub, Slack, Google Sheets, and more.

• Use prebuilt tools or develop your own with Portia’s SDK.

📊 Agent Debug Console

• Monitor every step of the agent's plan and its current state.

• Seamlessly log and track runs via Portia Cloud or your own infra.

How to Build & Run an Agent with Portia?

Step 1: Install the Portia SDK

1. Go to portialabs.ai and download the SDK from their docs or GitHub.

2. Run the setup to install Portia CLI and dependencies in your dev environment.

Step 2: Define Your Plan

1. Use the Planning Agent to generate a plan or define one manually as JSON/YAML.

2. Plans should include tool calls, steps, and where human input is needed.

Step 3: Authenticate Tools

1. Use Portia’s built-in auth layer to securely connect tools like Gmail, GitHub, or Slack.

2. If needed, use clarification prompts to collect user credentials during execution.

Step 4: Execute the Agent Plan

1. Launch the execution agent and feed it the plan.

2. Portia will manage tool execution and pause when human interaction or clarification is needed.

Step 5: Monitor and Debug

1. Use the Portia Debug Console or logs to track each step.

2. If needed, adjust your plan or tools and rerun seamlessly.

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Why Choose Portia AI?

✅ Predictable and Transparent – Build agents that follow clear, structured plans.
✅ Human-in-the-Loop – Pause and direct agent behavior with structured input.
✅ Secure by Design – Built-in authentication and data handling that meets enterprise standards.
✅ Developer-Centric SDK – Open-source tools with deep customization support.
✅ Tool Integration Ready – Connect with existing workflows through APIs or built-in tools.
✅ Scalable Execution – Use Portia Cloud for managing plan states and logs at scale.

Benefits of Using Portia AI

📌 Full Lifecycle Control – Design, run, pause, and audit every stage of an agent’s task.
📌 Stronger Compliance & Security – Built for teams that require tight governance.
📌 Modular Architecture – Mix and match agents, tools, and plans as needed.
📌 Faster Development – Reuse plan templates and tool configurations to accelerate launches.
📌 Better Collaboration – Agents can request human clarification at key moments.

Thanks for sticking around…

That’s all for now—catch you next time!

Have any thoughts or questions? Feel free to reach out at [email protected] – we’re always eager to chat.

P.S.: Do follow me on LinkedIn and enjoy a little treat!

Jahanzaib