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Copy file name to clipboardExpand all lines: examples/ecommerce-agent-app/README.md
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# AI E-commerce Assistant Example
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This example demonstrates how to build an AI-powered e-commerce assistant using Orra for reliable multi-agent orchestration.
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This example demonstrates how to build an LLM powered e-commerce assistant using Orra for reliable multi-agent orchestration.
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It uses a chat UI to simulate a WhatsApp sales experience.
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- 🏪 Real-time product availability checks and holds
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- 👤 Customer profile integration
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- 📱 Real-time chat UI (simulating WhatsApp)
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- ⚡ Parallel service orchestration
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- ⚡ Parallel agent, tool as service and service task coordination
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- 🔄 Real-time status updates
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- 🛡️ Error handling and recovery
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- ↩️ Canceling product holds when an unrecoverable error occurs
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-[Docker](https://docs.docker.com/get-docker/) and [Docker Compose](https://docs.docker.com/compose/install/)
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-[Mistral API key](https://mistral.ai/api/) for the Delivery Agent
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-[OpenAI API key](https://platform.openai.com/api-keys) for Orra's control plane
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-[OpenAI API key](https://platform.openai.com/api-keys) for Orra's Plan Engine `PLAN_CACHE_OPENAI_API_KEY`
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-[OpenAI API key](https://platform.openai.com/api-keys) or [Groq API key](https://console.groq.com/docs/quickstart) for Orra's Plan Engine reasoning models config
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## Setup
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1. First, setup Orra by following the [Installation instructions](../../README.md#installation):
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