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How to try the offline demo before connecting accounts with Paid Media Agent

Run a scripted analysis and simulated budget change on synthetic accounts with no keys.

Who it is forA team lead evaluating the agent who wants to see its analysis and proposal flow before connecting any live ad account.

The problemSetting up model keys and ad account access before knowing what the agent produces adds risk and delay.

The outcomeA look at a scripted analysis and a simulated budget change, with no model calls and no live campaign changes.

What you need first

  • Python 3.11+ and uv installed
  • Git installed to clone the repo
  • Access to the ad platforms you use, through Pipeboard MCP or direct adapters for X Ads and OpenAI Ads
  • A model key for the ask command and a chosen model for setup
  • A LangSmith organization with MDA access, an API key with deployment permissions, and a model key for managed deployment

Steps

  1. git clone https://github.com/langchain-ai/paid-media-agent.git
  2. cd paid-media-agent
  3. uv sync
  4. uv run paid-media-agent demo --with-proposal

Prompt for your agent

In the paid-media-agent repo, run the offline demo with the proposal flag. Expected output: a scripted analysis and a simulated budget change against synthetic accounts. Verify that no model call or live account change occurred during the run.

Caveat. The demo uses synthetic accounts and a scripted analysis, so it shows the workflow but not results from your real campaigns.

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