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docs: fix minor grammatical issues in docs
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pages/guides/fetchai-sdk/quickstart.mdx

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@@ -4,7 +4,7 @@ The Fetch.ai SDK gives you easy access to the core components of the uAgents lib
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Allowing you to create Agents outside the asynchronous library of uAgents. This is really great if you want to build synchronous programs but still have agentic functionalities.
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Let's build two simple [Agent ↗️](/guides/agents/getting-started/whats-an-agent) system using Flask, and OpenAI.
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Let's build two simple [Agent ↗️](/guides/agents/getting-started/whats-an-agent) systems using Flask, and OpenAI.
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## Installation
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There's a lot to unpack there, but as this is a quickstart, let's just cover the essentials:
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An Agent is identifiable by their [seed ↗️](../agents/getting-started/seedphrase); we use this to load in an Agent often with `Identity.from_seed("some str as your seed", 0)`
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An Agent is identifiable by its [seed ↗️](../agents/getting-started/seedphrase); we use this to load in an Agent often with `Identity.from_seed("some str as your seed", 0)`
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Registration allows other Agents to find you, you can see this in `register_with_agentverse`. We specify a `readme` which is a xml string so that LLMs can read this content in a more structured manner. Very useful for search in more complex demos.
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Registration allows other Agents to find you, you can see this in `register_with_agentverse`. We specify a `readme` which is an xml string so that LLMs can read this content in a more structured manner. Very useful for search in more complex demos.
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`/webhook` is where our Agent accepts an incoming message. They will receive this message when another Agents search for it and match. Within this Agent, we get the data with `data = request.json` and then we get some of the message objects, our Agent expects the payload to have `date of birth` and `gender` as keys.
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