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itemprop="name">Components</span></a><meta itemprop="position" content="1"></li><li itemscope="" itemprop="itemListElement" itemtype="https://schema.org/ListItem" class="breadcrumbs__item breadcrumbs__item--active"><span class="breadcrumbs__link" itemprop="name">Models</span><meta itemprop="position" content="2"></li></ul></nav><div class="tocCollapsible_ETCw theme-doc-toc-mobile tocMobile_ITEo"><button type="button" class="clean-btn tocCollapsibleButton_TO0P">On this page</button></div><div class="theme-doc-markdown markdown"><header><h1>Models</h1></header><h2 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="3b8ceacef3424234814f95895a25bf43">Amazon Bedrock<a class="hash-link" aria-label="Direct link to Amazon Bedrock" title="Direct link to Amazon Bedrock" href="/components-models#3b8ceacef3424234814f95895a25bf43"></a></h2>
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<p>This component facilitates the generation of text using the LLM (Large Language Model) model from Amazon Bedrock.</p>
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<p><strong>Params</strong></p>
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<ul>
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<li><strong>Input Value:</strong> Specifies the input text for text generation.</li>
|
||
<li><strong>System Message (Optional):</strong> A system message to pass to the model.</li>
|
||
<li><strong>Model ID (Optional):</strong> Specifies the model ID to be used for text generation. Defaults to <code>"anthropic.claude-instant-v1"</code>. Available options include:
|
||
<ul>
|
||
<li><code>"ai21.j2-grande-instruct"</code></li>
|
||
<li><code>"ai21.j2-jumbo-instruct"</code></li>
|
||
<li><code>"ai21.j2-mid"</code></li>
|
||
<li><code>"ai21.j2-mid-v1"</code></li>
|
||
<li><code>"ai21.j2-ultra"</code></li>
|
||
<li><code>"ai21.j2-ultra-v1"</code></li>
|
||
<li><code>"anthropic.claude-instant-v1"</code></li>
|
||
<li><code>"anthropic.claude-v1"</code></li>
|
||
<li><code>"anthropic.claude-v2"</code></li>
|
||
<li><code>"cohere.command-text-v14"</code></li>
|
||
</ul>
|
||
</li>
|
||
<li><strong>Credentials Profile Name (Optional):</strong> Specifies the name of the credentials profile.</li>
|
||
<li><strong>Region Name (Optional):</strong> Specifies the region name.</li>
|
||
<li><strong>Model Kwargs (Optional):</strong> Additional keyword arguments for the model.</li>
|
||
<li><strong>Endpoint URL (Optional):</strong> Specifies the endpoint URL.</li>
|
||
<li><strong>Streaming (Optional):</strong> Specifies whether to stream the response from the model. Defaults to <code>False</code>.</li>
|
||
<li><strong>Cache (Optional):</strong> Specifies whether to cache the response.</li>
|
||
<li><strong>Stream (Optional):</strong> Specifies whether to stream the response from the model. Defaults to <code>False</code>.</li>
|
||
</ul>
|
||
<p>NOTE</p>
|
||
<p>Ensure that necessary credentials are provided to connect to the Amazon Bedrock API. If connection fails, a ValueError will be raised.</p>
|
||
<hr>
|
||
<h2 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="a6ae46f98c4c4d389d44b8408bf151a1">Anthropic<a class="hash-link" aria-label="Direct link to Anthropic" title="Direct link to Anthropic" href="/components-models#a6ae46f98c4c4d389d44b8408bf151a1"></a></h2>
|
||
<p>This component allows the generation of text using Anthropic Chat&Completion large language models.</p>
|
||
<p><strong>Params</strong></p>
|
||
<ul>
|
||
<li><strong>Model Name:</strong> Specifies the name of the Anthropic model to be used for text generation. Available options include (and not limited to):
|
||
<ul>
|
||
<li><code>"claude-2.1"</code></li>
|
||
<li><code>"claude-2.0"</code></li>
|
||
<li><code>"claude-instant-1.2"</code></li>
|
||
<li><code>"claude-instant-1"</code></li>
|
||
</ul>
|
||
</li>
|
||
<li><strong>Anthropic API Key:</strong> Your Anthropic API key.</li>
|
||
<li><strong>Max Tokens (Optional):</strong> Specifies the maximum number of tokens to generate. Defaults to <code>256</code>.</li>
|
||
<li><strong>Temperature (Optional):</strong> Specifies the sampling temperature. Defaults to <code>0.7</code>.</li>
|
||
<li><strong>API Endpoint (Optional):</strong> Specifies the endpoint of the Anthropic API. Defaults to <code>"https://api.anthropic.com"</code>if not specified.</li>
|
||
<li><strong>Input Value:</strong> Specifies the input text for text generation.</li>
|
||
<li><strong>Stream (Optional):</strong> Specifies whether to stream the response from the model. Defaults to <code>False</code>.</li>
|
||
<li><strong>System Message (Optional):</strong> A system message to pass to the model.</li>
|
||
</ul>
|
||
<p>For detailed documentation and integration guides, please refer to the <a href="https://python.langchain.com/docs/integrations/chat/anthropic" target="_blank" rel="noopener noreferrer">Anthropic Component Documentation</a>.</p>
|
||
<hr>
|
||
<h2 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="7e3bff29ce714479b07feeb4445680cd">Azure OpenAI<a class="hash-link" aria-label="Direct link to Azure OpenAI" title="Direct link to Azure OpenAI" href="/components-models#7e3bff29ce714479b07feeb4445680cd"></a></h2>
|
||
<p>This component allows the generation of text using the LLM (Large Language Model) model from Azure OpenAI.</p>
|
||
<p><strong>Params</strong></p>
|
||
<ul>
|
||
<li><strong>Model Name:</strong> Specifies the name of the Azure OpenAI model to be used for text generation. Available options include:
|
||
<ul>
|
||
<li><code>"gpt-35-turbo"</code></li>
|
||
<li><code>"gpt-35-turbo-16k"</code></li>
|
||
<li><code>"gpt-35-turbo-instruct"</code></li>
|
||
<li><code>"gpt-4"</code></li>
|
||
<li><code>"gpt-4-32k"</code></li>
|
||
<li><code>"gpt-4-vision"</code></li>
|
||
<li><code>"gpt-4o"</code></li>
|
||
</ul>
|
||
</li>
|
||
<li><strong>Azure Endpoint:</strong> Your Azure endpoint, including the resource. Example: <code>https://example-resource.azure.openai.com/</code>.</li>
|
||
<li><strong>Deployment Name:</strong> Specifies the name of the deployment.</li>
|
||
<li><strong>API Version:</strong> Specifies the version of the Azure OpenAI API to be used. Available options include:
|
||
<ul>
|
||
<li><code>"2023-03-15-preview"</code></li>
|
||
<li><code>"2023-05-15"</code></li>
|
||
<li><code>"2023-06-01-preview"</code></li>
|
||
<li><code>"2023-07-01-preview"</code></li>
|
||
<li><code>"2023-08-01-preview"</code></li>
|
||
<li><code>"2023-09-01-preview"</code></li>
|
||
<li><code>"2023-12-01-preview"</code></li>
|
||
</ul>
|
||
</li>
|
||
<li><strong>API Key:</strong> Your Azure OpenAI API key.</li>
|
||
<li><strong>Temperature (Optional):</strong> Specifies the sampling temperature. Defaults to <code>0.7</code>.</li>
|
||
<li><strong>Max Tokens (Optional):</strong> Specifies the maximum number of tokens to generate. Defaults to <code>1000</code>.</li>
|
||
<li><strong>Input Value:</strong> Specifies the input text for text generation.</li>
|
||
<li><strong>Stream (Optional):</strong> Specifies whether to stream the response from the model. Defaults to <code>False</code>.</li>
|
||
<li><strong>System Message (Optional):</strong> A system message to pass to the model.</li>
|
||
</ul>
|
||
<p>For detailed documentation and integration guides, please refer to the <a href="https://python.langchain.com/docs/integrations/llms/azure_openai" target="_blank" rel="noopener noreferrer">Azure OpenAI Component Documentation</a>.</p>
|
||
<hr>
|
||
<h2 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="706396a33bf94894966c95571252d78b">Cohere<a class="hash-link" aria-label="Direct link to Cohere" title="Direct link to Cohere" href="/components-models#706396a33bf94894966c95571252d78b"></a></h2>
|
||
<p>This component enables text generation using Cohere large language models.</p>
|
||
<p><strong>Params</strong></p>
|
||
<ul>
|
||
<li><strong>Cohere API Key:</strong> Your Cohere API key.</li>
|
||
<li><strong>Max Tokens (Optional):</strong> Specifies the maximum number of tokens to generate. Defaults to <code>256</code>.</li>
|
||
<li><strong>Temperature (Optional):</strong> Specifies the sampling temperature. Defaults to <code>0.75</code>.</li>
|
||
<li><strong>Input Value:</strong> Specifies the input text for text generation.</li>
|
||
<li><strong>Stream (Optional):</strong> Specifies whether to stream the response from the model. Defaults to <code>False</code>.</li>
|
||
<li><strong>System Message (Optional):</strong> A system message to pass to the model.</li>
|
||
</ul>
|
||
<hr>
|
||
<h2 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="074d9623463449f99d41b44699800e8a">Google Generative AI<a class="hash-link" aria-label="Direct link to Google Generative AI" title="Direct link to Google Generative AI" href="/components-models#074d9623463449f99d41b44699800e8a"></a></h2>
|
||
<p>This component enables text generation using Google Generative AI.</p>
|
||
<p><strong>Params</strong></p>
|
||
<ul>
|
||
<li><strong>Google API Key:</strong> Your Google API key to use for the Google Generative AI.</li>
|
||
<li><strong>Model:</strong> The name of the model to use. Supported examples are <code>"gemini-pro"</code> and <code>"gemini-pro-vision"</code>.</li>
|
||
<li><strong>Max Output Tokens (Optional):</strong> The maximum number of tokens to generate.</li>
|
||
<li><strong>Temperature:</strong> Run inference with this temperature. Must be in the closed interval [0.0, 1.0].</li>
|
||
<li><strong>Top K (Optional):</strong> Decode using top-k sampling: consider the set of top_k most probable tokens. Must be positive.</li>
|
||
<li><strong>Top P (Optional):</strong> The maximum cumulative probability of tokens to consider when sampling.</li>
|
||
<li><strong>N (Optional):</strong> Number of chat completions to generate for each prompt. Note that the API may not return the full n completions if duplicates are generated.</li>
|
||
<li><strong>Input Value:</strong> The input to the model.</li>
|
||
<li><strong>Stream (Optional):</strong> Specifies whether to stream the response from the model. Defaults to <code>False</code>.</li>
|
||
<li><strong>System Message (Optional):</strong> A system message to pass to the model.</li>
|
||
</ul>
|
||
<hr>
|
||
<h2 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="c1267b9a6b36487cb2ee127ce9b64dbb">Hugging Face API<a class="hash-link" aria-label="Direct link to Hugging Face API" title="Direct link to Hugging Face API" href="/components-models#c1267b9a6b36487cb2ee127ce9b64dbb"></a></h2>
|
||
<p>This component facilitates text generation using LLM models from the Hugging Face Inference API.</p>
|
||
<p><strong>Params</strong></p>
|
||
<ul>
|
||
<li><strong>Endpoint URL:</strong> The URL of the Hugging Face Inference API endpoint. Should be provided along with necessary authentication credentials.</li>
|
||
<li><strong>Task:</strong> Specifies the task for text generation. Options include <code>"text2text-generation"</code>, <code>"text-generation"</code>, and <code>"summarization"</code>.</li>
|
||
<li><strong>API Token:</strong> The API token required for authentication with the Hugging Face Hub.</li>
|
||
<li><strong>Model Keyword Arguments (Optional):</strong> Additional keyword arguments for the model. Should be provided as a Python dictionary.</li>
|
||
<li><strong>Input Value:</strong> The input text for text generation.</li>
|
||
<li><strong>Stream (Optional):</strong> Specifies whether to stream the response from the model. Defaults to <code>False</code>.</li>
|
||
<li><strong>System Message (Optional):</strong> A system message to pass to the model.</li>
|
||
</ul>
|
||
<hr>
|
||
<h2 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="9fb59dad3b294a05966320d39f483a50">LiteLLM Model<a class="hash-link" aria-label="Direct link to LiteLLM Model" title="Direct link to LiteLLM Model" href="/components-models#9fb59dad3b294a05966320d39f483a50"></a></h2>
|
||
<p>Generates text using the <code>LiteLLM</code> collection of large language models.</p>
|
||
<p><strong>Parameters</strong></p>
|
||
<ul>
|
||
<li><strong>Model name:</strong> The name of the model to use. For example, <code>gpt-3.5-turbo</code>. (Type: str)</li>
|
||
<li><strong>API key:</strong> The API key to use for accessing the provider's API. (Type: str, Optional)</li>
|
||
<li><strong>Provider:</strong> The provider of the API key. (Type: str, Choices: "OpenAI", "Azure", "Anthropic", "Replicate", "Cohere", "OpenRouter")</li>
|
||
<li><strong>Temperature:</strong> Controls the randomness of the text generation. (Type: float, Default: 0.7)</li>
|
||
<li><strong>Model kwargs:</strong> Additional keyword arguments for the model. (Type: Dict, Optional)</li>
|
||
<li><strong>Top p:</strong> Filter responses to keep the cumulative probability within the top p tokens. (Type: float, Optional)</li>
|
||
<li><strong>Top k:</strong> Filter responses to only include the top k tokens. (Type: int, Optional)</li>
|
||
<li><strong>N:</strong> Number of chat completions to generate for each prompt. (Type: int, Default: 1)</li>
|
||
<li><strong>Max tokens:</strong> The maximum number of tokens to generate for each chat completion. (Type: int, Default: 256)</li>
|
||
<li><strong>Max retries:</strong> Maximum number of retries for failed requests. (Type: int, Default: 6)</li>
|
||
<li><strong>Verbose:</strong> Whether to print verbose output. (Type: bool, Default: False)</li>
|
||
<li><strong>Input:</strong> The input prompt for text generation. (Type: str)</li>
|
||
<li><strong>Stream:</strong> Whether to stream the output. (Type: bool, Default: False)</li>
|
||
<li><strong>System message:</strong> System message to pass to the model. (Type: str, Optional)</li>
|
||
</ul>
|
||
<hr>
|
||
<h2 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="14e8e411d28d4711add53bfc3e52c6cd">Ollama<a class="hash-link" aria-label="Direct link to Ollama" title="Direct link to Ollama" href="/components-models#14e8e411d28d4711add53bfc3e52c6cd"></a></h2>
|
||
<p>Generate text using Ollama Local LLMs.</p>
|
||
<p><strong>Parameters</strong></p>
|
||
<ul>
|
||
<li><strong>Base URL:</strong> Endpoint of the Ollama API. Defaults to '<a href="http://localhost:11434/" target="_blank" rel="noopener noreferrer">http://localhost:11434</a>' if not specified.</li>
|
||
<li><strong>Model Name:</strong> The model name to use. Refer to <a href="https://ollama.ai/library" target="_blank" rel="noopener noreferrer">Ollama Library</a> for more models.</li>
|
||
<li><strong>Temperature:</strong> Controls the creativity of model responses. (Default: 0.8)</li>
|
||
<li><strong>Cache:</strong> Enable or disable caching. (Default: False)</li>
|
||
<li><strong>Format:</strong> Specify the format of the output (e.g., json). (Advanced)</li>
|
||
<li><strong>Metadata:</strong> Metadata to add to the run trace. (Advanced)</li>
|
||
<li><strong>Mirostat:</strong> Enable/disable Mirostat sampling for controlling perplexity. (Default: Disabled)</li>
|
||
<li><strong>Mirostat Eta:</strong> Learning rate for Mirostat algorithm. (Default: None) (Advanced)</li>
|
||
<li><strong>Mirostat Tau:</strong> Controls the balance between coherence and diversity of the output. (Default: None) (Advanced)</li>
|
||
<li><strong>Context Window Size:</strong> Size of the context window for generating tokens. (Default: None) (Advanced)</li>
|
||
<li><strong>Number of GPUs:</strong> Number of GPUs to use for computation. (Default: None) (Advanced)</li>
|
||
<li><strong>Number of Threads:</strong> Number of threads to use during computation. (Default: None) (Advanced)</li>
|
||
<li><strong>Repeat Last N:</strong> How far back the model looks to prevent repetition. (Default: None) (Advanced)</li>
|
||
<li><strong>Repeat Penalty:</strong> Penalty for repetitions in generated text. (Default: None) (Advanced)</li>
|
||
<li><strong>TFS Z:</strong> Tail free sampling value. (Default: None) (Advanced)</li>
|
||
<li><strong>Timeout:</strong> Timeout for the request stream. (Default: None) (Advanced)</li>
|
||
<li><strong>Top K:</strong> Limits token selection to top K. (Default: None) (Advanced)</li>
|
||
<li><strong>Top P:</strong> Works together with top-k. (Default: None) (Advanced)</li>
|
||
<li><strong>Verbose:</strong> Whether to print out response text.</li>
|
||
<li><strong>Tags:</strong> Tags to add to the run trace. (Advanced)</li>
|
||
<li><strong>Stop Tokens:</strong> List of tokens to signal the model to stop generating text. (Advanced)</li>
|
||
<li><strong>System:</strong> System to use for generating text. (Advanced)</li>
|
||
<li><strong>Template:</strong> Template to use for generating text. (Advanced)</li>
|
||
<li><strong>Input:</strong> The input text.</li>
|
||
<li><strong>Stream:</strong> Whether to stream the response.</li>
|
||
<li><strong>System Message:</strong> System message to pass to the model. (Advanced)</li>
|
||
</ul>
|
||
<hr>
|
||
<h2 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="fe6cd793446748eda6eaad72e30f70b3">OpenAI<a class="hash-link" aria-label="Direct link to OpenAI" title="Direct link to OpenAI" href="/components-models#fe6cd793446748eda6eaad72e30f70b3"></a></h2>
|
||
<p>This component facilitates text generation using OpenAI's models.</p>
|
||
<p><strong>Params</strong></p>
|
||
<ul>
|
||
<li><strong>Input Value:</strong> The input text for text generation.</li>
|
||
<li><strong>Max Tokens (Optional):</strong> The maximum number of tokens to generate. Defaults to <code>256</code>.</li>
|
||
<li><strong>Model Kwargs (Optional):</strong> Additional keyword arguments for the model. Should be provided as a nested dictionary.</li>
|
||
<li><strong>Model Name (Optional):</strong> The name of the model to use. Defaults to <code>gpt-4-1106-preview</code>. Supported options include: <code>gpt-4-turbo-preview</code>, <code>gpt-4-0125-preview</code>, <code>gpt-4-1106-preview</code>, <code>gpt-4-vision-preview</code>, <code>gpt-3.5-turbo-0125</code>, <code>gpt-3.5-turbo-1106</code>.</li>
|
||
<li><strong>OpenAI API Base (Optional):</strong> The base URL of the OpenAI API. Defaults to <code>https://api.openai.com/v1</code>.</li>
|
||
<li><strong>OpenAI API Key (Optional):</strong> The API key for accessing the OpenAI API.</li>
|
||
<li><strong>Temperature:</strong> Controls the creativity of model responses. Defaults to <code>0.7</code>.</li>
|
||
<li><strong>Stream (Optional):</strong> Specifies whether to stream the response from the model. Defaults to <code>False</code>.</li>
|
||
<li><strong>System Message (Optional):</strong> System message to pass to the model.</li>
|
||
</ul>
|
||
<hr>
|
||
<h2 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="6e4a6b2370ee4b9f8beb899e7cf9c8f6">Qianfan<a class="hash-link" aria-label="Direct link to Qianfan" title="Direct link to Qianfan" href="/components-models#6e4a6b2370ee4b9f8beb899e7cf9c8f6"></a></h2>
|
||
<p>This component facilitates the generation of text using Baidu Qianfan chat models.</p>
|
||
<p><strong>Params</strong></p>
|
||
<ul>
|
||
<li><strong>Model Name:</strong> Specifies the name of the Qianfan chat model to be used for text generation. Available options include:
|
||
<ul>
|
||
<li><code>"ERNIE-Bot"</code></li>
|
||
<li><code>"ERNIE-Bot-turbo"</code></li>
|
||
<li><code>"BLOOMZ-7B"</code></li>
|
||
<li><code>"Llama-2-7b-chat"</code></li>
|
||
<li><code>"Llama-2-13b-chat"</code></li>
|
||
<li><code>"Llama-2-70b-chat"</code></li>
|
||
<li><code>"Qianfan-BLOOMZ-7B-compressed"</code></li>
|
||
<li><code>"Qianfan-Chinese-Llama-2-7B"</code></li>
|
||
<li><code>"ChatGLM2-6B-32K"</code></li>
|
||
<li><code>"AquilaChat-7B"</code></li>
|
||
</ul>
|
||
</li>
|
||
<li><strong>Qianfan Ak:</strong> Your Baidu Qianfan access key, obtainable from <a href="https://cloud.baidu.com/product/wenxinworkshop" target="_blank" rel="noopener noreferrer">here</a>.</li>
|
||
<li><strong>Qianfan Sk:</strong> Your Baidu Qianfan secret key, obtainable from <a href="https://cloud.baidu.com/product/wenxinworkshop" target="_blank" rel="noopener noreferrer">here</a>.</li>
|
||
<li><strong>Top p (Optional):</strong> Model parameter. Specifies the top-p value. Only supported in ERNIE-Bot and ERNIE-Bot-turbo models. Defaults to <code>0.8</code>.</li>
|
||
<li><strong>Temperature (Optional):</strong> Model parameter. Specifies the sampling temperature. Only supported in ERNIE-Bot and ERNIE-Bot-turbo models. Defaults to <code>0.95</code>.</li>
|
||
<li><strong>Penalty Score (Optional):</strong> Model parameter. Specifies the penalty score. Only supported in ERNIE-Bot and ERNIE-Bot-turbo models. Defaults to <code>1.0</code>.</li>
|
||
<li><strong>Endpoint (Optional):</strong> Endpoint of the Qianfan LLM, required if custom model is used.</li>
|
||
<li><strong>Input Value:</strong> Specifies the input text for text generation.</li>
|
||
<li><strong>Stream (Optional):</strong> Specifies whether to stream the response from the model. Defaults to <code>False</code>.</li>
|
||
<li><strong>System Message (Optional):</strong> A system message to pass to the model.</li>
|
||
</ul>
|
||
<hr>
|
||
<h2 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="86b7d539e17c436fb758c47ec3ffb084">Vertex AI<a class="hash-link" aria-label="Direct link to Vertex AI" title="Direct link to Vertex AI" href="/components-models#86b7d539e17c436fb758c47ec3ffb084"></a></h2>
|
||
<p>The <code>ChatVertexAI</code> is a component for generating text using Vertex AI Chat large language models API.</p>
|
||
<p><strong>Params</strong></p>
|
||
<ul>
|
||
<li><strong>Credentials:</strong> The JSON file containing the credentials for accessing the Vertex AI Chat API.</li>
|
||
<li><strong>Project:</strong> The name of the project associated with the Vertex AI Chat API.</li>
|
||
<li><strong>Examples (Optional):</strong> List of examples to provide context for text generation.</li>
|
||
<li><strong>Location:</strong> The location of the Vertex AI Chat API service. Defaults to <code>us-central1</code>.</li>
|
||
<li><strong>Max Output Tokens:</strong> The maximum number of tokens to generate. Defaults to <code>128</code>.</li>
|
||
<li><strong>Model Name:</strong> The name of the model to use. Defaults to <code>chat-bison</code>.</li>
|
||
<li><strong>Temperature:</strong> Controls the creativity of model responses. Defaults to <code>0.0</code>.</li>
|
||
<li><strong>Input Value:</strong> The input text for text generation.</li>
|
||
<li><strong>Top K:</strong> Limits token selection to top K. Defaults to <code>40</code>.</li>
|
||
<li><strong>Top P:</strong> Works together with top-k. Defaults to <code>0.95</code>.</li>
|
||
<li><strong>Verbose:</strong> Whether to print out response text. Defaults to <code>False</code>.</li>
|
||
<li><strong>Stream (Optional):</strong> Specifies whether to stream the response from the model. Defaults to <code>False</code>.</li>
|
||
<li><strong>System Message (Optional):</strong> System message to pass to the model.</li>
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