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import time |
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import streamlit as st |
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def details(): |
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st.empty() |
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chat = st.container() |
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chat.empty() |
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html_code = """ |
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<link href="https://ai.google.dev/gemini-api/docs/thinking" rel="canonical"/> |
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<link href="https://ai.google.dev/s/opensearch.xml" rel="search" title="Google AI for Developers" type="application/opensearchdescription+xml"/> |
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<link href="https://ai.google.dev/gemini-api/docs/thinking?hl=sq" hreflang="sq" rel="alternate"/> |
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<title> |
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Gemini 2.0 Flash Thinking | Gemini API | Google AI for Developers |
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</title> |
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<meta content="Gemini 2.0 Flash Thinking | Gemini API | Google AI for Developers" property="og:title"/> |
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<meta content="summary_large_image" name="twitter:card"/> |
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{ |
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"@context": "https://schema.org", |
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"@type": "Article", |
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"headline": "Gemini 2.0 Flash Thinking" |
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} |
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"position": 2, |
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"name": "Gemini 2.0 Flash Thinking", |
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"item": "https://ai.google.dev/gemini-api/docs/thinking" |
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</script> |
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<link href="/extras.css" rel="stylesheet"/> |
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</link> |
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</link> |
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</link> |
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</head> |
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<body appearance="" class="" display-toc="" layout="docs" pending="" template="page" theme="googledevai-theme" type="article"> |
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<devsite-progress id="app-progress" type="indeterminate"> |
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</devsite-progress> |
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<a class="skip-link button" href="#main-content"> |
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Skip to main content |
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</a> |
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<main class="devsite-main-content" id="main-content" role="main"> |
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<devsite-content> |
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<article class="devsite-article"> |
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<h1 class="devsite-page-title" tabindex="-1"> |
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Gemini 2.0 Flash Thinking |
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<div class="devsite-actions" data-nosnippet=""> |
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</div> |
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</h1> |
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<div class="devsite-page-title-meta"> |
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<devsite-view-release-notes> |
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</devsite-view-release-notes> |
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</div> |
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<devsite-toc class="devsite-nav" depth="2" devsite-toc-embedded=""> |
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</devsite-toc> |
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<div class="devsite-article-body clearfix"> |
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<p> |
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</p> |
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<p> |
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The Gemini 2.0 Flash Thinking model is an experimental model that's trained to |
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generate the "thinking process" the model goes through as part of its response. |
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As a result, the Flash Thinking model is capable of stronger reasoning |
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capabilities in its responses than the Gemini 2.0 Flash Experimental model. |
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</p> |
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<div> |
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<a class="button button-primary ais" href="https://aistudio.google.com/prompts/new_chat?model=gemini-2.0-flash-thinking-exp-01-21"> |
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Try the latest Flash Thinking model in Google AI Studio |
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</a> |
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</div> |
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<h2 data-text="Use thinking models" id="use-thinking-models" tabindex="-1"> |
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Use thinking models |
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</h2> |
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<p> |
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Flash Thinking models are available in |
|
<a href="https://aistudio.google.com/prompts/new_chat?model=gemini-2.0-flash-thinking-exp-01-21"> |
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Google AI Studio |
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</a> |
|
and through the Gemini API. The Gemini API doesn't return thoughts in the response. |
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</p> |
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<aside class="note"> |
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<strong> |
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Note: |
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</strong> |
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<span> |
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We have set up |
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<code dir="ltr" translate="no"> |
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gemini-2.0-flash-thinking-exp |
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</code> |
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as an alias to the latest |
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Flash Thinking model. Use this alias to get the latest Flash thinking model, or |
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specify the full model name. |
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</span> |
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</aside> |
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<h3 data-text="Send a basic request" id="send-basic" tabindex="-1"> |
|
Send a basic request |
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</h3> |
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<div class="ds-selector-tabs" data-ds-scope="code-sample"> |
|
<section> |
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<h3 data-text="Python" id="python" tabindex="-1"> |
|
Python |
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</h3> |
|
<p> |
|
This example uses the new |
|
<a href="/gemini-api/docs/sdks#python-quickstart"> |
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Google Genai SDK |
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</a> |
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and the |
|
<code dir="ltr" translate="no"> |
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v1alpha |
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</code> |
|
version of the API. |
|
</p> |
|
<div> |
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</div> |
|
<devsite-code> |
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<pre class="devsite-click-to-copy" dir="ltr" is-upgraded="" syntax="Python" translate="no"><code dir="ltr" translate="no"><span class="devsite-syntax-kn">from</span><span class="devsite-syntax-w"> </span><span class="devsite-syntax-nn">google</span><span class="devsite-syntax-w"> </span><span class="devsite-syntax-kn">import</span> <span class="devsite-syntax-n">genai</span> |
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|
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<span class="devsite-syntax-n">client</span> <span class="devsite-syntax-o">=</span> <span class="devsite-syntax-n">genai</span><span class="devsite-syntax-o">.</span><span class="devsite-syntax-n">Client</span><span class="devsite-syntax-p">(</span><span class="devsite-syntax-n">api_key</span><span class="devsite-syntax-o">=</span><span class="devsite-syntax-s1">'GEMINI_API_KEY'</span><span class="devsite-syntax-p">,</span> <span class="devsite-syntax-n">http_options</span><span class="devsite-syntax-o">=</span><span class="devsite-syntax-p">{</span><span class="devsite-syntax-s1">'api_version'</span><span class="devsite-syntax-p">:</span><span class="devsite-syntax-s1">'v1alpha'</span><span class="devsite-syntax-p">})</span> |
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|
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<span class="devsite-syntax-n">response</span> <span class="devsite-syntax-o">=</span> <span class="devsite-syntax-n">client</span><span class="devsite-syntax-o">.</span><span class="devsite-syntax-n">models</span><span class="devsite-syntax-o">.</span><span class="devsite-syntax-n">generate_content</span><span class="devsite-syntax-p">(</span> |
|
<span class="devsite-syntax-n">model</span><span class="devsite-syntax-o">=</span><span class="devsite-syntax-s1">'gemini-2.0-flash-thinking-exp'</span><span class="devsite-syntax-p">,</span> |
|
<span class="devsite-syntax-n">contents</span><span class="devsite-syntax-o">=</span><span class="devsite-syntax-s1">'Explain how RLHF works in simple terms.'</span><span class="devsite-syntax-p">,</span> |
|
<span class="devsite-syntax-p">)</span> |
|
|
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<span class="devsite-syntax-nb">print</span><span class="devsite-syntax-p">(</span><span class="devsite-syntax-n">response</span><span class="devsite-syntax-o">.</span><span class="devsite-syntax-n">text</span><span class="devsite-syntax-p">)</span> |
|
</code></pre> |
|
</devsite-code> |
|
</section> |
|
</div> |
|
<h3 data-text="Multi-turn thinking conversations" id="multi-turn-thinking" tabindex="-1"> |
|
Multi-turn thinking conversations |
|
</h3> |
|
<p> |
|
During multi-turn conversations, thoughts from previous turns are stripped from |
|
the model's inputs. |
|
</p> |
|
<div class="ds-selector-tabs" data-ds-scope="code-sample"> |
|
<section> |
|
<h3 data-text="Python" id="python_1" tabindex="-1"> |
|
Python |
|
</h3> |
|
<p> |
|
The new |
|
<a href="/gemini-api/docs/sdks#python-quickstart"> |
|
Google Genai SDK |
|
</a> |
|
provides the ability to create a multi-turn chat session which is |
|
helpful to manage the state of a conversation. |
|
</p> |
|
<div> |
|
</div> |
|
<devsite-code> |
|
<pre class="devsite-click-to-copy" dir="ltr" is-upgraded="" syntax="Python" translate="no"><code dir="ltr" translate="no"><span class="devsite-syntax-kn">from</span><span class="devsite-syntax-w"> </span><span class="devsite-syntax-nn">google</span><span class="devsite-syntax-w"> </span><span class="devsite-syntax-kn">import</span> <span class="devsite-syntax-n">genai</span> |
|
|
|
<span class="devsite-syntax-n">client</span> <span class="devsite-syntax-o">=</span> <span class="devsite-syntax-n">genai</span><span class="devsite-syntax-o">.</span><span class="devsite-syntax-n">Client</span><span class="devsite-syntax-p">(</span><span class="devsite-syntax-n">api_key</span><span class="devsite-syntax-o">=</span><span class="devsite-syntax-s1">'GEMINI_API_KEY'</span><span class="devsite-syntax-p">,</span> <span class="devsite-syntax-n">http_options</span><span class="devsite-syntax-o">=</span><span class="devsite-syntax-p">{</span><span class="devsite-syntax-s1">'api_version'</span><span class="devsite-syntax-p">:</span><span class="devsite-syntax-s1">'v1alpha'</span><span class="devsite-syntax-p">})</span> |
|
|
|
<span class="devsite-syntax-n">chat</span> <span class="devsite-syntax-o">=</span> <span class="devsite-syntax-n">client</span><span class="devsite-syntax-o">.</span><span class="devsite-syntax-n">aio</span><span class="devsite-syntax-o">.</span><span class="devsite-syntax-n">chats</span><span class="devsite-syntax-o">.</span><span class="devsite-syntax-n">create</span><span class="devsite-syntax-p">(</span> |
|
<span class="devsite-syntax-n">model</span><span class="devsite-syntax-o">=</span><span class="devsite-syntax-s1">'gemini-2.0-flash-thinking-exp'</span><span class="devsite-syntax-p">,</span> |
|
<span class="devsite-syntax-p">)</span> |
|
<span class="devsite-syntax-n">response</span> <span class="devsite-syntax-o">=</span> <span class="devsite-syntax-k">await</span> <span class="devsite-syntax-n">chat</span><span class="devsite-syntax-o">.</span><span class="devsite-syntax-n">send_message</span><span class="devsite-syntax-p">(</span><span class="devsite-syntax-s1">'What is your name?'</span><span class="devsite-syntax-p">)</span> |
|
<span class="devsite-syntax-nb">print</span><span class="devsite-syntax-p">(</span><span class="devsite-syntax-n">response</span><span class="devsite-syntax-o">.</span><span class="devsite-syntax-n">text</span><span class="devsite-syntax-p">)</span> |
|
<span class="devsite-syntax-n">response</span> <span class="devsite-syntax-o">=</span> <span class="devsite-syntax-k">await</span> <span class="devsite-syntax-n">chat</span><span class="devsite-syntax-o">.</span><span class="devsite-syntax-n">send_message</span><span class="devsite-syntax-p">(</span><span class="devsite-syntax-s1">'What did you just say before this?'</span><span class="devsite-syntax-p">)</span> |
|
<span class="devsite-syntax-nb">print</span><span class="devsite-syntax-p">(</span><span class="devsite-syntax-n">response</span><span class="devsite-syntax-o">.</span><span class="devsite-syntax-n">text</span><span class="devsite-syntax-p">)</span> |
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</code></pre> |
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</devsite-code> |
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</section> |
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</div> |
|
<h2 data-text="Limitations" id="limitations" tabindex="-1"> |
|
Limitations |
|
</h2> |
|
<p> |
|
The Flash Thinking model is an experimental model and has the following |
|
limitations: |
|
</p> |
|
<ul> |
|
<li> |
|
No JSON mode or Search Grounding |
|
</li> |
|
<li> |
|
Thoughts are only shown in Google AI Studio |
|
</li> |
|
</ul> |
|
<h2 data-text="What's next?" id="whats-next" tabindex="-1"> |
|
What's next? |
|
</h2> |
|
<ul> |
|
<li> |
|
Try the Flash Thinking model in |
|
<a href="https://aistudio.google.com/prompts/new_chat?model=gemini-2.0-flash-thinking-exp-01-21"> |
|
Google AI Studio |
|
</a> |
|
. |
|
</li> |
|
<li> |
|
Try the |
|
<a href="https://colab.sandbox.google.com/github/google-gemini/cookbook/blob/main/quickstarts/Get_started_thinking.ipynb"> |
|
Flash Thinking Colab |
|
</a> |
|
. |
|
</li> |
|
</ul> |
|
<link data-page-link="" href="/site-assets/css/style.css?v=3" rel="stylesheet"/> |
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<link data-page-link="" href="https://fonts.googleapis.com/css2?family=Google+Symbols:opsz,wght,FILL,[email protected],100..700,0..1,-50..200" rel="stylesheet"/> |
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</div> |
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</article> |
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</main> |
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data = f'''**Gemini 2.0 Flash Thinking** \n\nThe Gemini 2.0 Flash Thinking model is an experimental model that's trained to generate the "thinking process" the model goes through as part of its response. As a result, the Flash Thinking model is capable of stronger reasoning capabilities in its responses than the Gemini 2.0 Flash Experimental model.\n\n**Use thinking models**\n\nFlash Thinking models are available in Google AI Studio and through the Gemini API. The Gemini API doesn't return thoughts in the response.\n\nNote: The set up for gemini-2.0-flash-thinking-exp as an alias to the latest Flash Thinking model. Use this alias to get the latest Flash thinking model, or specify the full model name. \n\n**Send a basic request**\n\nThis example uses the new Google Genai SDK and the v1alpha version of the API.\n ```python\n from google import genai\nclient = genai.Client(api_key='GEMINI_API_KEY', http_options='api_version':'v1alpha')\nresponse = client.models.generate_content(\nmodel='gemini-2.0-flash-thinking-exp',\ncontents='Explain how RLHF works in simple terms.',\n)\nprint(response.text)\n```\n**Multi-turn thinking conversations**\n\nDuring multi-turn conversations, thoughts from previous turns are stripped from the model's inputs.\nThe new Google Genai SDK provides the ability to create a multi-turn chat session which is helpful to manage the state of a conversation.\n```python\nfrom google import genai\nclient = genai.Client(api_key='GEMINI_API_KEY', http_options='api_version':'v1alpha')\nchat = client.aio.chats.create(\nmodel='gemini-2.0-flash-thinking-exp',\n)\nresponse = await chat.send_message('What is your name?')\nprint(response.text)\nresponse = await chat.send_message('What did you just say before this?')\nprint(response.text)\n```\n\n**Limitations**\n\nThe Flash Thinking model is an experimental model and has the following limitations:\n\n\tNo JSON mode or Search Grounding\n\tThoughts are only shown in Google AI Studio''' |
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