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		<title>Stroutputparser on Pythonflow</title>
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		<description>Recent content in Stroutputparser on Pythonflow</description>
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			<managingEditor>alicandonmez90@gmail.com (flowfelis)</managingEditor>
		
		
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			<lastBuildDate>Tue, 23 Jun 2026 07:00:00 +0100</lastBuildDate>
		
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				<title>LangBot Day 7: Streaming Output — Token-by-Token Responses</title>
				<link>https://pythonflow.com/posts/langbot-day-7-streaming/</link>
				<pubDate>Tue, 23 Jun 2026 07:00:00 +0100</pubDate><author>alicandonmez90@gmail.com (flowfelis)</author>
				<guid>https://pythonflow.com/posts/langbot-day-7-streaming/</guid>
				<description>&lt;p&gt;&lt;strong&gt;Recap:&lt;/strong&gt; On Day 6, LangBot gained output parsers and now responds in two modes — chat mode returns typed &lt;code&gt;LangBotResponse&lt;/code&gt; objects with mood and confidence, and list mode returns clean &lt;code&gt;list[str]&lt;/code&gt; via &lt;code&gt;CommaSeparatedListOutputParser&lt;/code&gt;. Both modes use &lt;code&gt;.invoke()&lt;/code&gt;, which means the entire response arrives at once after the model finishes generating. Today we fix that — LangBot learns to type its replies one token at a time.&lt;/p&gt;&#xA;&lt;hr&gt;&#xA;&lt;h2 id=&#34;the-problem-waiting-for-the-whole-answer&#34;&gt;The problem: waiting for the whole answer&lt;/h2&gt;&#xA;&lt;p&gt;Every interaction so far has the same rhythm:&lt;/p&gt;</description>
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				<title>LangBot Day 6: Output Parsers — Transforming Raw Responses into Usable Data</title>
				<link>https://pythonflow.com/posts/langbot-day-6-output-parsers/</link>
				<pubDate>Mon, 22 Jun 2026 07:00:00 +0100</pubDate><author>alicandonmez90@gmail.com (flowfelis)</author>
				<guid>https://pythonflow.com/posts/langbot-day-6-output-parsers/</guid>
				<description>&lt;p&gt;&lt;strong&gt;Recap:&lt;/strong&gt; On Day 5, LangBot started returning typed objects — every response is now a &lt;code&gt;LangBotResponse&lt;/code&gt; with &lt;code&gt;.message&lt;/code&gt;, &lt;code&gt;.mood&lt;/code&gt;, and &lt;code&gt;.confidence&lt;/code&gt;. That is great when you need structured metadata. But structured output is not always the right tool. Sometimes you just want a clean string. Sometimes you want a parsed list. Today we add output parsers — lightweight LCEL components that transform raw &lt;code&gt;AIMessage&lt;/code&gt; output into exactly the shape you need.&lt;/p&gt;</description>
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