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@@ -69,10 +69,37 @@ With Parlant, they've been able to quickly integrate feedback from customer serv
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-[Meta Llama 3](https://www.llama.com/) (via [Together AI](https://www.together.ai/) or [Cerebras](https://cerebras.ai/))
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-[Anthropic](https://www.anthropic.com/api) (also via [AWS Bedrock](https://aws.amazon.com/bedrock/))
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## Getting started
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```bash
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$ pip install parlant
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$ parlant-server
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$ # Open http://localhost:8000 and play
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```
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Install client SDKs:
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```bash
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$ # For Python clients:
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$ pip install parlant-client
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$ # For TypeScript clients:
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$ npm install parlant-client
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```
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To start building with Parlant, visit our [documentation portal](https://parlant.io/docs/quickstart/introduction).
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Need help? Send us a message on [Discord](https://discord.gg/duxWqxKk6J). We're happy to answer questions and help you get up and running!
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## Usage Example
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Adding a guideline for an agent—for example, to ask a counter-question to get more info when a customer asks a question:
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```bash
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parlant guideline create \
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--agent-id CUSTOMER_SUCCESS_AGENT_ID
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--condition "a free-tier customer is asking how to use our product" \
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--action "first seek to understsand what they're trying to achieve"
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```
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In Parlant, Customer-Agent interaction happens asynchronously, to enable more natural customer interactions, rather than forcing a strict and unnatural request-reply mode.
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Here's a basic example (using the TypeScript client SDK):
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Here's a basic example of a simple client (using the TypeScript client SDK):
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