From 58a833cfd4fb527e0bc030cacdd4cd3282daffc8 Mon Sep 17 00:00:00 2001
From: salmanap <salmanap@users.noreply.github.com>
Date: Thu, 29 Jan 2026 02:56:09 +0000
Subject: [PATCH] deploy: 2a36dd7376bbfdd1dfcd761921ec5aba0a7d2321

---
 concepts/llm_providers/llm_providers.html     |   1 +
 .../llm_providers/supported_providers.html    | 129 ++++++-
 get_started/quickstart.html                   |   6 +-
 includes/llms.txt                             | 124 ++++++-
 includes/provider_models.yaml                 | 315 ++++++++++++++++++
 searchindex.js                                |   2 +-
 6 files changed, 548 insertions(+), 29 deletions(-)
 create mode 100755 includes/provider_models.yaml

diff --git a/concepts/llm_providers/llm_providers.html b/concepts/llm_providers/llm_providers.html
index 8c3093eb..83fc2320 100755
--- a/concepts/llm_providers/llm_providers.html
+++ b/concepts/llm_providers/llm_providers.html
@@ -177,6 +177,7 @@ Connect to any combination of providers simultaneously (see <a class="reference
 <ul class="simple">
 <li><p>First-Class Providers: Native integrations with OpenAI, Anthropic, DeepSeek, Mistral, Groq, Google Gemini, Together AI, xAI, Azure OpenAI, and Ollama</p></li>
 <li><p>OpenAI-Compatible Providers: Any provider implementing the OpenAI Chat Completions API standard</p></li>
+<li><p>Wildcard Model Configuration: Automatically configure all models from a provider using <code class="docutils literal notranslate"><span class="pre">provider/*</span></code> syntax</p></li>
 </ul>
 <p><strong>Intelligent Routing</strong>
 Three powerful routing approaches to optimize model selection:</p>
diff --git a/concepts/llm_providers/supported_providers.html b/concepts/llm_providers/supported_providers.html
index 955cfccc..65ebc999 100755
--- a/concepts/llm_providers/supported_providers.html
+++ b/concepts/llm_providers/supported_providers.html
@@ -180,7 +180,7 @@
 </div>
 <p><strong>Common Configuration Fields:</strong></p>
 <ul class="simple">
-<li><p><code class="docutils literal notranslate"><span class="pre">model</span></code>: Provider prefix and model name (format: <code class="docutils literal notranslate"><span class="pre">provider/model-name</span></code>)</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">model</span></code>: Provider prefix and model name (format: <code class="docutils literal notranslate"><span class="pre">provider/model-name</span></code> or <code class="docutils literal notranslate"><span class="pre">provider/*</span></code> for wildcard expansion)</p></li>
 <li><p><code class="docutils literal notranslate"><span class="pre">access_key</span></code>: API key for authentication (supports environment variables)</p></li>
 <li><p><code class="docutils literal notranslate"><span class="pre">default</span></code>: Mark a model as the default (optional, boolean)</p></li>
 <li><p><code class="docutils literal notranslate"><span class="pre">name</span></code>: Custom name for the provider instance (optional)</p></li>
@@ -274,17 +274,20 @@ Any provider that implements the OpenAI API interface can be configured using cu
 </table>
 <p><strong>Configuration Examples:</strong></p>
 <div class="highlight-yaml notranslate"><div class="highlight"><pre><span></span><code><span id="line-1"><span class="nt">llm_providers</span><span class="p">:</span>
-</span><span id="line-2"><span class="w">  </span><span class="c1"># Latest models (examples - use any OpenAI chat model)</span>
-</span><span id="line-3"><span class="w">  </span><span class="p p-Indicator">-</span><span class="w"> </span><span class="nt">model</span><span class="p">:</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">openai/gpt-5.2</span>
+</span><span id="line-2"><span class="w">  </span><span class="c1"># Configure all OpenAI models with wildcard</span>
+</span><span id="line-3"><span class="w">  </span><span class="p p-Indicator">-</span><span class="w"> </span><span class="nt">model</span><span class="p">:</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">openai/*</span>
 </span><span id="line-4"><span class="w">    </span><span class="nt">access_key</span><span class="p">:</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">$OPENAI_API_KEY</span>
-</span><span id="line-5"><span class="w">    </span><span class="nt">default</span><span class="p">:</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">true</span>
-</span><span id="line-6">
-</span><span id="line-7"><span class="w">  </span><span class="p p-Indicator">-</span><span class="w"> </span><span class="nt">model</span><span class="p">:</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">openai/gpt-5</span>
+</span><span id="line-5">
+</span><span id="line-6"><span class="w">  </span><span class="c1"># Or configure specific models</span>
+</span><span id="line-7"><span class="w">  </span><span class="p p-Indicator">-</span><span class="w"> </span><span class="nt">model</span><span class="p">:</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">openai/gpt-5.2</span>
 </span><span id="line-8"><span class="w">    </span><span class="nt">access_key</span><span class="p">:</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">$OPENAI_API_KEY</span>
-</span><span id="line-9">
-</span><span id="line-10"><span class="w">  </span><span class="c1"># Use any model name from OpenAI's API</span>
-</span><span id="line-11"><span class="w">  </span><span class="p p-Indicator">-</span><span class="w"> </span><span class="nt">model</span><span class="p">:</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">openai/gpt-4o</span>
+</span><span id="line-9"><span class="w">    </span><span class="nt">default</span><span class="p">:</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">true</span>
+</span><span id="line-10">
+</span><span id="line-11"><span class="w">  </span><span class="p p-Indicator">-</span><span class="w"> </span><span class="nt">model</span><span class="p">:</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">openai/gpt-5</span>
 </span><span id="line-12"><span class="w">    </span><span class="nt">access_key</span><span class="p">:</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">$OPENAI_API_KEY</span>
+</span><span id="line-13">
+</span><span id="line-14"><span class="w">  </span><span class="p p-Indicator">-</span><span class="w"> </span><span class="nt">model</span><span class="p">:</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">openai/gpt-4o</span>
+</span><span id="line-15"><span class="w">    </span><span class="nt">access_key</span><span class="p">:</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">$OPENAI_API_KEY</span>
 </span></code></pre></div>
 </div>
 </section>
@@ -327,16 +330,28 @@ Any provider that implements the OpenAI API interface can be configured using cu
 </table>
 <p><strong>Configuration Examples:</strong></p>
 <div class="highlight-yaml notranslate"><div class="highlight"><pre><span></span><code><span id="line-1"><span class="nt">llm_providers</span><span class="p">:</span>
-</span><span id="line-2"><span class="w">  </span><span class="c1"># Latest models (examples - use any Anthropic chat model)</span>
-</span><span id="line-3"><span class="w">  </span><span class="p p-Indicator">-</span><span class="w"> </span><span class="nt">model</span><span class="p">:</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">anthropic/claude-opus-4-5</span>
+</span><span id="line-2"><span class="w">  </span><span class="c1"># Configure all Anthropic models with wildcard</span>
+</span><span id="line-3"><span class="w">  </span><span class="p p-Indicator">-</span><span class="w"> </span><span class="nt">model</span><span class="p">:</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">anthropic/*</span>
 </span><span id="line-4"><span class="w">    </span><span class="nt">access_key</span><span class="p">:</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">$ANTHROPIC_API_KEY</span>
 </span><span id="line-5">
-</span><span id="line-6"><span class="w">  </span><span class="p p-Indicator">-</span><span class="w"> </span><span class="nt">model</span><span class="p">:</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">anthropic/claude-sonnet-4-5</span>
-</span><span id="line-7"><span class="w">    </span><span class="nt">access_key</span><span class="p">:</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">$ANTHROPIC_API_KEY</span>
-</span><span id="line-8">
-</span><span id="line-9"><span class="w">  </span><span class="c1"># Use any model name from Anthropic's API</span>
-</span><span id="line-10"><span class="w">  </span><span class="p p-Indicator">-</span><span class="w"> </span><span class="nt">model</span><span class="p">:</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">anthropic/claude-haiku-4-5</span>
+</span><span id="line-6"><span class="w">  </span><span class="c1"># Or configure specific models</span>
+</span><span id="line-7"><span class="w">  </span><span class="p p-Indicator">-</span><span class="w"> </span><span class="nt">model</span><span class="p">:</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">anthropic/claude-opus-4-5</span>
+</span><span id="line-8"><span class="w">    </span><span class="nt">access_key</span><span class="p">:</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">$ANTHROPIC_API_KEY</span>
+</span><span id="line-9">
+</span><span id="line-10"><span class="w">  </span><span class="p p-Indicator">-</span><span class="w"> </span><span class="nt">model</span><span class="p">:</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">anthropic/claude-sonnet-4-5</span>
 </span><span id="line-11"><span class="w">    </span><span class="nt">access_key</span><span class="p">:</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">$ANTHROPIC_API_KEY</span>
+</span><span id="line-12">
+</span><span id="line-13"><span class="w">  </span><span class="p p-Indicator">-</span><span class="w"> </span><span class="nt">model</span><span class="p">:</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">anthropic/claude-haiku-4-5</span>
+</span><span id="line-14"><span class="w">    </span><span class="nt">access_key</span><span class="p">:</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">$ANTHROPIC_API_KEY</span>
+</span><span id="line-15">
+</span><span id="line-16"><span class="w">  </span><span class="c1"># Override specific model with custom routing</span>
+</span><span id="line-17"><span class="w">  </span><span class="p p-Indicator">-</span><span class="w"> </span><span class="nt">model</span><span class="p">:</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">anthropic/*</span>
+</span><span id="line-18"><span class="w">    </span><span class="nt">access_key</span><span class="p">:</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">$ANTHROPIC_API_KEY</span>
+</span><span id="line-19">
+</span><span id="line-20"><span class="w">  </span><span class="p p-Indicator">-</span><span class="w"> </span><span class="nt">model</span><span class="p">:</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">anthropic/claude-sonnet-4-20250514</span>
+</span><span id="line-21"><span class="w">    </span><span class="nt">access_key</span><span class="p">:</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">$ANTHROPIC_PROD_API_KEY</span>
+</span><span id="line-22"><span class="w">    </span><span class="nt">routing_preferences</span><span class="p">:</span>
+</span><span id="line-23"><span class="w">      </span><span class="p p-Indicator">-</span><span class="w"> </span><span class="nt">name</span><span class="p">:</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">code_generation</span>
 </span></code></pre></div>
 </div>
 </section>
@@ -865,6 +880,87 @@ Any provider that implements the OpenAI API interface can be configured using cu
 </span></code></pre></div>
 </div>
 </section>
+<section id="wildcard-model-configuration">
+<h3>Wildcard Model Configuration<a @click.prevent="window.navigator.clipboard.writeText($el.href); $el.setAttribute('data-tooltip', 'Copied!'); setTimeout(() =&gt; $el.setAttribute('data-tooltip', 'Copy link to this element'), 2000)" aria-label="Copy link to this element" class="headerlink" data-tooltip="Copy link to this element" href="#wildcard-model-configuration" x-intersect.margin.0%.0%.-70%.0%="activeSection = '#wildcard-model-configuration'"><svg height="1em" viewbox="0 0 24 24" width="1em" xmlns="http://www.w3.org/2000/svg"><path d="M3.9 12c0-1.71 1.39-3.1 3.1-3.1h4V7H7c-2.76 0-5 2.24-5 5s2.24 5 5 5h4v-1.9H7c-1.71 0-3.1-1.39-3.1-3.1zM8 13h8v-2H8v2zm9-6h-4v1.9h4c1.71 0 3.1 1.39 3.1 3.1s-1.39 3.1-3.1 3.1h-4V17h4c2.76 0 5-2.24 5-5s-2.24-5-5-5z"></path></svg></a></h3>
+<p>Automatically configure all available models from a provider using wildcard patterns. Plano expands wildcards at configuration load time to include all known models from the provider’s registry.</p>
+<p><strong>Basic Wildcard Usage:</strong></p>
+<div class="highlight-yaml notranslate"><div class="highlight"><pre><span></span><code><span id="line-1"><span class="nt">llm_providers</span><span class="p">:</span>
+</span><span id="line-2"><span class="w">  </span><span class="c1"># Expand to all OpenAI models</span>
+</span><span id="line-3"><span class="w">  </span><span class="p p-Indicator">-</span><span class="w"> </span><span class="nt">model</span><span class="p">:</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">openai/*</span>
+</span><span id="line-4"><span class="w">    </span><span class="nt">access_key</span><span class="p">:</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">$OPENAI_API_KEY</span>
+</span><span id="line-5">
+</span><span id="line-6"><span class="w">  </span><span class="c1"># Expand to all Anthropic Claude models</span>
+</span><span id="line-7"><span class="w">  </span><span class="p p-Indicator">-</span><span class="w"> </span><span class="nt">model</span><span class="p">:</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">anthropic/*</span>
+</span><span id="line-8"><span class="w">    </span><span class="nt">access_key</span><span class="p">:</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">$ANTHROPIC_API_KEY</span>
+</span><span id="line-9">
+</span><span id="line-10"><span class="w">  </span><span class="c1"># Expand to all Mistral models</span>
+</span><span id="line-11"><span class="w">  </span><span class="p p-Indicator">-</span><span class="w"> </span><span class="nt">model</span><span class="p">:</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">mistral/*</span>
+</span><span id="line-12"><span class="w">    </span><span class="nt">access_key</span><span class="p">:</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">$MISTRAL_API_KEY</span>
+</span></code></pre></div>
+</div>
+<p><strong>How Wildcards Work:</strong></p>
+<ol class="arabic simple">
+<li><p><strong>Known Providers</strong> (OpenAI, Anthropic, DeepSeek, Mistral, Groq, Gemini, Together AI, xAI, Moonshot, Zhipu):</p>
+<ul class="simple">
+<li><p>Expands at config load time to all models in Plano’s provider registry</p></li>
+<li><p>Creates entries for both canonical (<code class="docutils literal notranslate"><span class="pre">openai/gpt-4</span></code>) and short names (<code class="docutils literal notranslate"><span class="pre">gpt-4</span></code>)</p></li>
+<li><p>Enables the <code class="docutils literal notranslate"><span class="pre">/models/list</span></code> endpoint to list all available models</p></li>
+<li><p><strong>View complete model list</strong>: <a class="reference external" href="../../includes/provider_models.yaml" rel="nofollow noopener">provider_models.yaml<svg fill="currentColor" height="1em" stroke="none" viewbox="0 96 960 960" width="1em" xmlns="http://www.w3.org/2000/svg"><path d="M188 868q-11-11-11-28t11-28l436-436H400q-17 0-28.5-11.5T360 336q0-17 11.5-28.5T400 296h320q17 0 28.5 11.5T760 336v320q0 17-11.5 28.5T720 696q-17 0-28.5-11.5T680 656V432L244 868q-11 11-28 11t-28-11Z"></path></svg></a></p></li>
+</ul>
+</li>
+<li><p><strong>Unknown/Custom Providers</strong> (e.g., <code class="docutils literal notranslate"><span class="pre">custom-provider/*</span></code>):</p>
+<ul class="simple">
+<li><p>Stores as a wildcard pattern for runtime matching</p></li>
+<li><p>Requires <code class="docutils literal notranslate"><span class="pre">base_url</span></code> and <code class="docutils literal notranslate"><span class="pre">provider_interface</span></code> configuration</p></li>
+<li><p>Matches model requests dynamically (e.g., <code class="docutils literal notranslate"><span class="pre">custom-provider/any-model-name</span></code>)</p></li>
+<li><p>Does not appear in <code class="docutils literal notranslate"><span class="pre">/models/list</span></code> endpoint</p></li>
+</ul>
+</li>
+</ol>
+<p><strong>Overriding Wildcard Models:</strong></p>
+<p>You can configure specific models with custom settings even when using wildcards. Specific configurations take precedence and are excluded from wildcard expansion:</p>
+<div class="highlight-yaml notranslate"><div class="highlight"><pre><span></span><code><span id="line-1"><span class="nt">llm_providers</span><span class="p">:</span>
+</span><span id="line-2"><span class="w">  </span><span class="c1"># Expand to all Anthropic models</span>
+</span><span id="line-3"><span class="w">  </span><span class="p p-Indicator">-</span><span class="w"> </span><span class="nt">model</span><span class="p">:</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">anthropic/*</span>
+</span><span id="line-4"><span class="w">    </span><span class="nt">access_key</span><span class="p">:</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">$ANTHROPIC_API_KEY</span>
+</span><span id="line-5">
+</span><span id="line-6"><span class="w">  </span><span class="c1"># Override specific model with custom settings</span>
+</span><span id="line-7"><span class="w">  </span><span class="c1"># This model will NOT be included in the wildcard expansion above</span>
+</span><span id="line-8"><span class="w">  </span><span class="p p-Indicator">-</span><span class="w"> </span><span class="nt">model</span><span class="p">:</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">anthropic/claude-sonnet-4-20250514</span>
+</span><span id="line-9"><span class="w">    </span><span class="nt">access_key</span><span class="p">:</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">$ANTHROPIC_PROD_API_KEY</span>
+</span><span id="line-10"><span class="w">    </span><span class="nt">routing_preferences</span><span class="p">:</span>
+</span><span id="line-11"><span class="w">      </span><span class="p p-Indicator">-</span><span class="w"> </span><span class="nt">name</span><span class="p">:</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">code_generation</span>
+</span><span id="line-12"><span class="w">        </span><span class="nt">priority</span><span class="p">:</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">1</span>
+</span><span id="line-13">
+</span><span id="line-14"><span class="w">  </span><span class="c1"># Another specific override</span>
+</span><span id="line-15"><span class="w">  </span><span class="p p-Indicator">-</span><span class="w"> </span><span class="nt">model</span><span class="p">:</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">anthropic/claude-3-haiku-20240307</span>
+</span><span id="line-16"><span class="w">    </span><span class="nt">access_key</span><span class="p">:</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">$ANTHROPIC_DEV_API_KEY</span>
+</span></code></pre></div>
+</div>
+<p><strong>Custom Provider Wildcards:</strong></p>
+<p>For providers not in Plano’s registry, wildcards enable dynamic model routing:</p>
+<div class="highlight-yaml notranslate"><div class="highlight"><pre><span></span><code><span id="line-1"><span class="nt">llm_providers</span><span class="p">:</span>
+</span><span id="line-2"><span class="w">  </span><span class="c1"># Custom LiteLLM deployment</span>
+</span><span id="line-3"><span class="w">  </span><span class="p p-Indicator">-</span><span class="w"> </span><span class="nt">model</span><span class="p">:</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">litellm/*</span>
+</span><span id="line-4"><span class="w">    </span><span class="nt">base_url</span><span class="p">:</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">https://litellm.example.com</span>
+</span><span id="line-5"><span class="w">    </span><span class="nt">provider_interface</span><span class="p">:</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">openai</span>
+</span><span id="line-6"><span class="w">    </span><span class="nt">passthrough_auth</span><span class="p">:</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">true</span>
+</span><span id="line-7">
+</span><span id="line-8"><span class="w">  </span><span class="c1"># Custom provider with all models</span>
+</span><span id="line-9"><span class="w">  </span><span class="p p-Indicator">-</span><span class="w"> </span><span class="nt">model</span><span class="p">:</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">custom-provider/*</span>
+</span><span id="line-10"><span class="w">    </span><span class="nt">access_key</span><span class="p">:</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">$CUSTOM_API_KEY</span>
+</span><span id="line-11"><span class="w">    </span><span class="nt">base_url</span><span class="p">:</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">https://api.custom-provider.com</span>
+</span><span id="line-12"><span class="w">    </span><span class="nt">provider_interface</span><span class="p">:</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">openai</span>
+</span></code></pre></div>
+</div>
+<p><strong>Benefits:</strong></p>
+<ul class="simple">
+<li><p><strong>Simplified Configuration</strong>: One line instead of listing dozens of models</p></li>
+<li><p><strong>Future-Proof</strong>: Automatically includes new models as they’re released</p></li>
+<li><p><strong>Flexible Overrides</strong>: Customize specific models while using wildcards for others</p></li>
+<li><p><strong>Selective Expansion</strong>: Control which models get custom configurations</p></li>
+</ul>
+</section>
 <section id="default-model-configuration">
 <h3>Default Model Configuration<a @click.prevent="window.navigator.clipboard.writeText($el.href); $el.setAttribute('data-tooltip', 'Copied!'); setTimeout(() =&gt; $el.setAttribute('data-tooltip', 'Copy link to this element'), 2000)" aria-label="Copy link to this element" class="headerlink" data-tooltip="Copy link to this element" href="#default-model-configuration" x-intersect.margin.0%.0%.-70%.0%="activeSection = '#default-model-configuration'"><svg height="1em" viewbox="0 0 24 24" width="1em" xmlns="http://www.w3.org/2000/svg"><path d="M3.9 12c0-1.71 1.39-3.1 3.1-3.1h4V7H7c-2.76 0-5 2.24-5 5s2.24 5 5 5h4v-1.9H7c-1.71 0-3.1-1.39-3.1-3.1zM8 13h8v-2H8v2zm9-6h-4v1.9h4c1.71 0 3.1 1.39 3.1 3.1s-1.39 3.1-3.1 3.1h-4V17h4c2.76 0 5-2.24 5-5s-2.24-5-5-5z"></path></svg></a></h3>
 <p>Mark one model as the default for fallback scenarios:</p>
@@ -1027,6 +1123,7 @@ Any provider that implements the OpenAI API interface can be configured using cu
 <li><a :data-current="activeSection === '#base-url-configuration'" class="reference internal" href="#base-url-configuration">Base URL Configuration</a></li>
 <li><a :data-current="activeSection === '#advanced-configuration'" class="reference internal" href="#advanced-configuration">Advanced Configuration</a><ul>
 <li><a :data-current="activeSection === '#multiple-provider-instances'" class="reference internal" href="#multiple-provider-instances">Multiple Provider Instances</a></li>
+<li><a :data-current="activeSection === '#wildcard-model-configuration'" class="reference internal" href="#wildcard-model-configuration">Wildcard Model Configuration</a></li>
 <li><a :data-current="activeSection === '#default-model-configuration'" class="reference internal" href="#default-model-configuration">Default Model Configuration</a></li>
 <li><a :data-current="activeSection === '#routing-preferences'" class="reference internal" href="#routing-preferences">Routing Preferences</a></li>
 <li><a :data-current="activeSection === '#passthrough-authentication'" class="reference internal" href="#passthrough-authentication">Passthrough Authentication</a></li>
diff --git a/get_started/quickstart.html b/get_started/quickstart.html
index dc98ade6..d17dae0d 100755
--- a/get_started/quickstart.html
+++ b/get_started/quickstart.html
@@ -243,7 +243,7 @@
 <section id="step-3-1-using-curl-command">
 <h4>Step 3.1: Using curl command<a @click.prevent="window.navigator.clipboard.writeText($el.href); $el.setAttribute('data-tooltip', 'Copied!'); setTimeout(() =&gt; $el.setAttribute('data-tooltip', 'Copy link to this element'), 2000)" aria-label="Copy link to this element" class="headerlink" data-tooltip="Copy link to this element" href="#step-3-1-using-curl-command"><svg height="1em" viewbox="0 0 24 24" width="1em" xmlns="http://www.w3.org/2000/svg"><path d="M3.9 12c0-1.71 1.39-3.1 3.1-3.1h4V7H7c-2.76 0-5 2.24-5 5s2.24 5 5 5h4v-1.9H7c-1.71 0-3.1-1.39-3.1-3.1zM8 13h8v-2H8v2zm9-6h-4v1.9h4c1.71 0 3.1 1.39 3.1 3.1s-1.39 3.1-3.1 3.1h-4V17h4c2.76 0 5-2.24 5-5s-2.24-5-5-5z"></path></svg></a></h4>
 <div class="highlight-bash notranslate"><div class="highlight"><pre><span></span><code><span id="line-1">$<span class="w"> </span>curl<span class="w"> </span>--header<span class="w"> </span><span class="s1">'Content-Type: application/json'</span><span class="w"> </span><span class="se">\</span>
-</span><span id="line-2"><span class="w">  </span>--data<span class="w"> </span><span class="s1">'{"messages": [{"role": "user","content": "What is the capital of France?"}], "model": "none"}'</span><span class="w"> </span><span class="se">\</span>
+</span><span id="line-2"><span class="w">  </span>--data<span class="w"> </span><span class="s1">'{"messages": [{"role": "user","content": "What is the capital of France?"}], "model": "gpt-4o"}'</span><span class="w"> </span><span class="se">\</span>
 </span><span id="line-3"><span class="w">  </span>http://localhost:12000/v1/chat/completions
 </span><span id="line-4">
 </span><span id="line-5"><span class="o">{</span>
@@ -429,7 +429,7 @@
 <h4>Step 3. Interacting with gateway using curl command<a @click.prevent="window.navigator.clipboard.writeText($el.href); $el.setAttribute('data-tooltip', 'Copied!'); setTimeout(() =&gt; $el.setAttribute('data-tooltip', 'Copy link to this element'), 2000)" aria-label="Copy link to this element" class="headerlink" data-tooltip="Copy link to this element" href="#step-3-interacting-with-gateway-using-curl-command"><svg height="1em" viewbox="0 0 24 24" width="1em" xmlns="http://www.w3.org/2000/svg"><path d="M3.9 12c0-1.71 1.39-3.1 3.1-3.1h4V7H7c-2.76 0-5 2.24-5 5s2.24 5 5 5h4v-1.9H7c-1.71 0-3.1-1.39-3.1-3.1zM8 13h8v-2H8v2zm9-6h-4v1.9h4c1.71 0 3.1 1.39 3.1 3.1s-1.39 3.1-3.1 3.1h-4V17h4c2.76 0 5-2.24 5-5s-2.24-5-5-5z"></path></svg></a></h4>
 <p>Here is a sample curl command you can use to interact:</p>
 <div class="highlight-bash notranslate"><div class="highlight"><pre><span></span><code><span id="line-1">$<span class="w"> </span>curl<span class="w"> </span>--header<span class="w"> </span><span class="s1">'Content-Type: application/json'</span><span class="w"> </span><span class="se">\</span>
-</span><span id="line-2"><span class="w">  </span>--data<span class="w"> </span><span class="s1">'{"messages": [{"role": "user","content": "what is exchange rate for gbp"}], "model": "none"}'</span><span class="w"> </span><span class="se">\</span>
+</span><span id="line-2"><span class="w">  </span>--data<span class="w"> </span><span class="s1">'{"messages": [{"role": "user","content": "what is exchange rate for gbp"}], "model": "gpt-4o"}'</span><span class="w"> </span><span class="se">\</span>
 </span><span id="line-3"><span class="w">  </span>http://localhost:10000/v1/chat/completions<span class="w"> </span><span class="p">|</span><span class="w"> </span>jq<span class="w"> </span><span class="s2">".choices[0].message.content"</span>
 </span><span id="line-4">
 </span><span id="line-5"><span class="s2">"As of the date provided in your context, December 5, 2024, the exchange rate for GBP (British Pound) from USD (United States Dollar) is 0.78558. This means that 1 USD is equivalent to 0.78558 GBP."</span>
@@ -437,7 +437,7 @@
 </div>
 <p>And to get the list of supported currencies:</p>
 <div class="highlight-bash notranslate"><div class="highlight"><pre><span></span><code><span id="line-1">$<span class="w"> </span>curl<span class="w"> </span>--header<span class="w"> </span><span class="s1">'Content-Type: application/json'</span><span class="w"> </span><span class="se">\</span>
-</span><span id="line-2"><span class="w">  </span>--data<span class="w"> </span><span class="s1">'{"messages": [{"role": "user","content": "show me list of currencies that are supported for conversion"}], "model": "none"}'</span><span class="w"> </span><span class="se">\</span>
+</span><span id="line-2"><span class="w">  </span>--data<span class="w"> </span><span class="s1">'{"messages": [{"role": "user","content": "show me list of currencies that are supported for conversion"}], "model": "gpt-4o"}'</span><span class="w"> </span><span class="se">\</span>
 </span><span id="line-3"><span class="w">  </span>http://localhost:10000/v1/chat/completions<span class="w"> </span><span class="p">|</span><span class="w"> </span>jq<span class="w"> </span><span class="s2">".choices[0].message.content"</span>
 </span><span id="line-4">
 </span><span id="line-5"><span class="s2">"Here is a list of the currencies that are supported for conversion from USD, along with their symbols:\n\n1. AUD - Australian Dollar\n2. BGN - Bulgarian Lev\n3. BRL - Brazilian Real\n4. CAD - Canadian Dollar\n5. CHF - Swiss Franc\n6. CNY - Chinese Renminbi Yuan\n7. CZK - Czech Koruna\n8. DKK - Danish Krone\n9. EUR - Euro\n10. GBP - British Pound\n11. HKD - Hong Kong Dollar\n12. HUF - Hungarian Forint\n13. IDR - Indonesian Rupiah\n14. ILS - Israeli New Sheqel\n15. INR - Indian Rupee\n16. ISK - Icelandic Króna\n17. JPY - Japanese Yen\n18. KRW - South Korean Won\n19. MXN - Mexican Peso\n20. MYR - Malaysian Ringgit\n21. NOK - Norwegian Krone\n22. NZD - New Zealand Dollar\n23. PHP - Philippine Peso\n24. PLN - Polish Złoty\n25. RON - Romanian Leu\n26. SEK - Swedish Krona\n27. SGD - Singapore Dollar\n28. THB - Thai Baht\n29. TRY - Turkish Lira\n30. USD - United States Dollar\n31. ZAR - South African Rand\n\nIf you want to convert USD to any of these currencies, you can select the one you are interested in."</span>
diff --git a/includes/llms.txt b/includes/llms.txt
index 8a732bdf..85150960 100755
--- a/includes/llms.txt
+++ b/includes/llms.txt
@@ -1,6 +1,6 @@
 Plano Docs v0.4.3
 llms.txt (auto-generated)
-Generated (UTC): 2026-01-29T01:18:45.966758+00:00
+Generated (UTC): 2026-01-29T02:56:05.745300+00:00
 
 Table of contents
 - Agents (concepts/agents)
@@ -831,6 +831,8 @@ First-Class Providers: Native integrations with OpenAI, Anthropic, DeepSeek, Mis
 
 OpenAI-Compatible Providers: Any provider implementing the OpenAI Chat Completions API standard
 
+Wildcard Model Configuration: Automatically configure all models from a provider using provider/* syntax
+
 Intelligent Routing
 Three powerful routing approaches to optimize model selection:
 
@@ -1162,7 +1164,7 @@ llm_providers:
 
 Common Configuration Fields:
 
-model: Provider prefix and model name (format: provider/model-name)
+model: Provider prefix and model name (format: provider/model-name or provider/* for wildcard expansion)
 
 access_key: API key for authentication (supports environment variables)
 
@@ -1277,7 +1279,11 @@ Advanced reasoning model (preview)
 Configuration Examples:
 
 llm_providers:
-  # Latest models (examples - use any OpenAI chat model)
+  # Configure all OpenAI models with wildcard
+  - model: openai/*
+    access_key: $OPENAI_API_KEY
+
+  # Or configure specific models
   - model: openai/gpt-5.2
     access_key: $OPENAI_API_KEY
     default: true
@@ -1285,7 +1291,6 @@ llm_providers:
   - model: openai/gpt-5
     access_key: $OPENAI_API_KEY
 
-  # Use any model name from OpenAI's API
   - model: openai/gpt-4o
     access_key: $OPENAI_API_KEY
 
@@ -1338,17 +1343,29 @@ Complex agents and coding
 Configuration Examples:
 
 llm_providers:
-  # Latest models (examples - use any Anthropic chat model)
+  # Configure all Anthropic models with wildcard
+  - model: anthropic/*
+    access_key: $ANTHROPIC_API_KEY
+
+  # Or configure specific models
   - model: anthropic/claude-opus-4-5
     access_key: $ANTHROPIC_API_KEY
 
   - model: anthropic/claude-sonnet-4-5
     access_key: $ANTHROPIC_API_KEY
 
-  # Use any model name from Anthropic's API
   - model: anthropic/claude-haiku-4-5
     access_key: $ANTHROPIC_API_KEY
 
+  # Override specific model with custom routing
+  - model: anthropic/*
+    access_key: $ANTHROPIC_API_KEY
+
+  - model: anthropic/claude-sonnet-4-20250514
+    access_key: $ANTHROPIC_PROD_API_KEY
+    routing_preferences:
+      - name: code_generation
+
 DeepSeek
 
 Provider Prefix: deepseek/
@@ -1928,6 +1945,95 @@ llm_providers:
     access_key: $OPENAI_DEV_KEY
     name: openai-dev
 
+Wildcard Model Configuration
+
+Automatically configure all available models from a provider using wildcard patterns. Plano expands wildcards at configuration load time to include all known models from the provider’s registry.
+
+Basic Wildcard Usage:
+
+llm_providers:
+  # Expand to all OpenAI models
+  - model: openai/*
+    access_key: $OPENAI_API_KEY
+
+  # Expand to all Anthropic Claude models
+  - model: anthropic/*
+    access_key: $ANTHROPIC_API_KEY
+
+  # Expand to all Mistral models
+  - model: mistral/*
+    access_key: $MISTRAL_API_KEY
+
+How Wildcards Work:
+
+Known Providers (OpenAI, Anthropic, DeepSeek, Mistral, Groq, Gemini, Together AI, xAI, Moonshot, Zhipu):
+
+Expands at config load time to all models in Plano’s provider registry
+
+Creates entries for both canonical (openai/gpt-4) and short names (gpt-4)
+
+Enables the /models/list endpoint to list all available models
+
+View complete model list: provider_models.yaml
+
+Unknown/Custom Providers (e.g., custom-provider/*):
+
+Stores as a wildcard pattern for runtime matching
+
+Requires base_url and provider_interface configuration
+
+Matches model requests dynamically (e.g., custom-provider/any-model-name)
+
+Does not appear in /models/list endpoint
+
+Overriding Wildcard Models:
+
+You can configure specific models with custom settings even when using wildcards. Specific configurations take precedence and are excluded from wildcard expansion:
+
+llm_providers:
+  # Expand to all Anthropic models
+  - model: anthropic/*
+    access_key: $ANTHROPIC_API_KEY
+
+  # Override specific model with custom settings
+  # This model will NOT be included in the wildcard expansion above
+  - model: anthropic/claude-sonnet-4-20250514
+    access_key: $ANTHROPIC_PROD_API_KEY
+    routing_preferences:
+      - name: code_generation
+        priority: 1
+
+  # Another specific override
+  - model: anthropic/claude-3-haiku-20240307
+    access_key: $ANTHROPIC_DEV_API_KEY
+
+Custom Provider Wildcards:
+
+For providers not in Plano’s registry, wildcards enable dynamic model routing:
+
+llm_providers:
+  # Custom LiteLLM deployment
+  - model: litellm/*
+    base_url: https://litellm.example.com
+    provider_interface: openai
+    passthrough_auth: true
+
+  # Custom provider with all models
+  - model: custom-provider/*
+    access_key: $CUSTOM_API_KEY
+    base_url: https://api.custom-provider.com
+    provider_interface: openai
+
+Benefits:
+
+Simplified Configuration: One line instead of listing dozens of models
+
+Future-Proof: Automatically includes new models as they’re released
+
+Flexible Overrides: Customize specific models while using wildcards for others
+
+Selective Expansion: Control which models get custom configurations
+
 Default Model Configuration
 
 Mark one model as the default for fallback scenarios:
@@ -3038,7 +3144,7 @@ Step 3: Interact with LLM
 Step 3.1: Using curl command
 
 $ curl --header 'Content-Type: application/json' \
-  --data '{"messages": [{"role": "user","content": "What is the capital of France?"}], "model": "none"}' \
+  --data '{"messages": [{"role": "user","content": "What is the capital of France?"}], "model": "gpt-4o"}' \
   http://localhost:12000/v1/chat/completions
 
 {
@@ -3225,7 +3331,7 @@ Step 3. Interacting with gateway using curl command
 Here is a sample curl command you can use to interact:
 
 $ curl --header 'Content-Type: application/json' \
-  --data '{"messages": [{"role": "user","content": "what is exchange rate for gbp"}], "model": "none"}' \
+  --data '{"messages": [{"role": "user","content": "what is exchange rate for gbp"}], "model": "gpt-4o"}' \
   http://localhost:10000/v1/chat/completions | jq ".choices[0].message.content"
 
 "As of the date provided in your context, December 5, 2024, the exchange rate for GBP (British Pound) from USD (United States Dollar) is 0.78558. This means that 1 USD is equivalent to 0.78558 GBP."
@@ -3233,7 +3339,7 @@ $ curl --header 'Content-Type: application/json' \
 And to get the list of supported currencies:
 
 $ curl --header 'Content-Type: application/json' \
-  --data '{"messages": [{"role": "user","content": "show me list of currencies that are supported for conversion"}], "model": "none"}' \
+  --data '{"messages": [{"role": "user","content": "show me list of currencies that are supported for conversion"}], "model": "gpt-4o"}' \
   http://localhost:10000/v1/chat/completions | jq ".choices[0].message.content"
 
 "Here is a list of the currencies that are supported for conversion from USD, along with their symbols:\n\n1. AUD - Australian Dollar\n2. BGN - Bulgarian Lev\n3. BRL - Brazilian Real\n4. CAD - Canadian Dollar\n5. CHF - Swiss Franc\n6. CNY - Chinese Renminbi Yuan\n7. CZK - Czech Koruna\n8. DKK - Danish Krone\n9. EUR - Euro\n10. GBP - British Pound\n11. HKD - Hong Kong Dollar\n12. HUF - Hungarian Forint\n13. IDR - Indonesian Rupiah\n14. ILS - Israeli New Sheqel\n15. INR - Indian Rupee\n16. ISK - Icelandic Króna\n17. JPY - Japanese Yen\n18. KRW - South Korean Won\n19. MXN - Mexican Peso\n20. MYR - Malaysian Ringgit\n21. NOK - Norwegian Krone\n22. NZD - New Zealand Dollar\n23. PHP - Philippine Peso\n24. PLN - Polish Złoty\n25. RON - Romanian Leu\n26. SEK - Swedish Krona\n27. SGD - Singapore Dollar\n28. THB - Thai Baht\n29. TRY - Turkish Lira\n30. USD - United States Dollar\n31. ZAR - South African Rand\n\nIf you want to convert USD to any of these currencies, you can select the one you are interested in."
diff --git a/includes/provider_models.yaml b/includes/provider_models.yaml
new file mode 100755
index 00000000..c9d1ab86
--- /dev/null
+++ b/includes/provider_models.yaml
@@ -0,0 +1,315 @@
+version: '1.0'
+source: canonical-apis
+providers:
+  qwen:
+  - qwen/qwen3-max-2026-01-23
+  - qwen/qwen-plus-character
+  - qwen/qwen-flash-character
+  - qwen/qwen-flash
+  - qwen/qwen3-vl-plus-2025-12-19
+  - qwen/qwen3-omni-flash-2025-12-01
+  - qwen/qwen3-livetranslate-flash-2025-12-01
+  - qwen/qwen3-livetranslate-flash
+  - qwen/qwen-mt-lite
+  - qwen/qwen-plus-2025-12-01
+  - qwen/qwen-mt-flash
+  - qwen/ccai-pro
+  - qwen/tongyi-tingwu-slp
+  - qwen/qwen3-vl-flash
+  - qwen/qwen3-vl-flash-2025-10-15
+  - qwen/qwen3-omni-flash
+  - qwen/qwen3-omni-flash-2025-09-15
+  - qwen/qwen3-omni-30b-a3b-captioner
+  - qwen/qwen2.5-7b-instruct
+  - qwen/qwen2.5-14b-instruct
+  - qwen/qwen2.5-32b-instruct
+  - qwen/qwen2.5-72b-instruct
+  - qwen/qwen2.5-14b-instruct-1m
+  - qwen/qwen2.5-7b-instruct-1m
+  - qwen/qwen-max-2025-01-25
+  - qwen/qwen-max-latest
+  - qwen/qwen-turbo-2024-11-01
+  - qwen/qwen-turbo-latest
+  - qwen/qwen-plus-latest
+  - qwen/qwen-plus-2025-01-25
+  - qwen/qwq-plus-2025-03-05
+  - qwen/qwen-mt-turbo
+  - qwen/qwen-mt-plus
+  - qwen/qwen-coder-plus
+  - qwen/qwq-plus
+  - qwen/qwen2.5-vl-32b-instruct
+  - qwen/qvq-max
+  - qwen/qwen-omni-turbo
+  - qwen/qwen3-8b
+  - qwen/qwen3-30b-a3b
+  - qwen/qwen3-235b-a22b
+  - qwen/qwen-turbo-2025-04-28
+  - qwen/qwen-plus-2025-04-28
+  - qwen/qwen-vl-max-2025-04-08
+  - qwen/qwen-vl-plus-2025-01-25
+  - qwen/qwen-vl-plus-latest
+  - qwen/qwen-vl-max-latest
+  - qwen/qwen-vl-plus-2025-05-07
+  - qwen/qwen3-coder-plus
+  - qwen/qwen3-coder-480b-a35b-instruct
+  - qwen/qwen3-235b-a22b-instruct-2507
+  - qwen/qwen-plus-2025-07-14
+  - qwen/qwen3-coder-plus-2025-07-22
+  - qwen/qwen3-235b-a22b-thinking-2507
+  - qwen/qwen3-coder-flash
+  - qwen/qwen-vl-max
+  - qwen/qwen-vl-max-2025-08-13
+  - qwen/qwen3-max
+  - qwen/qwen3-max-2025-09-23
+  - qwen/qwen3-vl-plus
+  - qwen/qwen3-vl-235b-a22b-instruct
+  - qwen/qwen3-vl-235b-a22b-thinking
+  - qwen/qwen3-30b-a3b-thinking-2507
+  - qwen/qwen3-30b-a3b-instruct-2507
+  - qwen/qwen3-14b
+  - qwen/qwen3-32b
+  - qwen/qwen3-0.6b
+  - qwen/qwen3-4b
+  - qwen/qwen3-1.7b
+  - qwen/qwen-vl-plus
+  - qwen/qwen3-coder-plus-2025-09-23
+  - qwen/qwen3-vl-plus-2025-09-23
+  - qwen/qwen-plus-2025-09-11
+  - qwen/qwen3-next-80b-a3b-thinking
+  - qwen/qwen3-next-80b-a3b-instruct
+  - qwen/qwen3-max-preview
+  - qwen/qwen2-7b-instruct
+  - qwen/qwen-max
+  - qwen/qwen-plus
+  - qwen/qwen-turbo
+  openai:
+  - openai/gpt-4-0613
+  - openai/gpt-4
+  - openai/gpt-3.5-turbo
+  - openai/gpt-5.2-codex
+  - openai/gpt-3.5-turbo-instruct
+  - openai/gpt-3.5-turbo-instruct-0914
+  - openai/gpt-4-1106-preview
+  - openai/gpt-3.5-turbo-1106
+  - openai/gpt-4-0125-preview
+  - openai/gpt-4-turbo-preview
+  - openai/gpt-3.5-turbo-0125
+  - openai/gpt-4-turbo
+  - openai/gpt-4-turbo-2024-04-09
+  - openai/gpt-4o
+  - openai/gpt-4o-2024-05-13
+  - openai/gpt-4o-mini-2024-07-18
+  - openai/gpt-4o-mini
+  - openai/gpt-4o-2024-08-06
+  - openai/chatgpt-4o-latest
+  - openai/o1-2024-12-17
+  - openai/o1
+  - openai/computer-use-preview
+  - openai/o3-mini
+  - openai/o3-mini-2025-01-31
+  - openai/gpt-4o-2024-11-20
+  - openai/computer-use-preview-2025-03-11
+  - openai/gpt-4o-search-preview-2025-03-11
+  - openai/gpt-4o-search-preview
+  - openai/gpt-4o-mini-search-preview-2025-03-11
+  - openai/gpt-4o-mini-search-preview
+  - openai/o1-pro-2025-03-19
+  - openai/o1-pro
+  - openai/o3-2025-04-16
+  - openai/o4-mini-2025-04-16
+  - openai/o3
+  - openai/o4-mini
+  - openai/gpt-4.1-2025-04-14
+  - openai/gpt-4.1
+  - openai/gpt-4.1-mini-2025-04-14
+  - openai/gpt-4.1-mini
+  - openai/gpt-4.1-nano-2025-04-14
+  - openai/gpt-4.1-nano
+  - openai/codex-mini-latest
+  - openai/o3-pro
+  - openai/o3-pro-2025-06-10
+  - openai/o4-mini-deep-research
+  - openai/o3-deep-research
+  - openai/o3-deep-research-2025-06-26
+  - openai/o4-mini-deep-research-2025-06-26
+  - openai/gpt-5-chat-latest
+  - openai/gpt-5-2025-08-07
+  - openai/gpt-5
+  - openai/gpt-5-mini-2025-08-07
+  - openai/gpt-5-mini
+  - openai/gpt-5-nano-2025-08-07
+  - openai/gpt-5-nano
+  - openai/gpt-5-codex
+  - openai/gpt-5-pro-2025-10-06
+  - openai/gpt-5-pro
+  - openai/gpt-5-search-api
+  - openai/gpt-5-search-api-2025-10-14
+  - openai/gpt-5.1-chat-latest
+  - openai/gpt-5.1-2025-11-13
+  - openai/gpt-5.1
+  - openai/gpt-5.1-codex
+  - openai/gpt-5.1-codex-mini
+  - openai/gpt-5.1-codex-max
+  - openai/gpt-5.2-2025-12-11
+  - openai/gpt-5.2
+  - openai/gpt-5.2-pro-2025-12-11
+  - openai/gpt-5.2-pro
+  - openai/gpt-5.2-chat-latest
+  - openai/gpt-3.5-turbo-16k
+  - openai/ft:gpt-3.5-turbo-0613:katanemo::8CMZbm0P
+  google:
+  - google/gemini-2.5-flash
+  - google/gemini-2.5-pro
+  - google/gemini-2.0-flash-exp
+  - google/gemini-2.0-flash
+  - google/gemini-2.0-flash-001
+  - google/gemini-2.0-flash-exp-image-generation
+  - google/gemini-2.0-flash-lite-001
+  - google/gemini-2.0-flash-lite
+  - google/gemini-2.0-flash-lite-preview-02-05
+  - google/gemini-2.0-flash-lite-preview
+  - google/gemini-exp-1206
+  - google/gemini-2.5-flash-preview-tts
+  - google/gemini-2.5-pro-preview-tts
+  - google/gemma-3-1b-it
+  - google/gemma-3-4b-it
+  - google/gemma-3-12b-it
+  - google/gemma-3-27b-it
+  - google/gemma-3n-e4b-it
+  - google/gemma-3n-e2b-it
+  - google/gemini-flash-latest
+  - google/gemini-flash-lite-latest
+  - google/gemini-pro-latest
+  - google/gemini-2.5-flash-lite
+  - google/gemini-2.5-flash-image
+  - google/gemini-2.5-flash-preview-09-2025
+  - google/gemini-2.5-flash-lite-preview-09-2025
+  - google/gemini-3-pro-preview
+  - google/gemini-3-flash-preview
+  - google/gemini-3-pro-image-preview
+  - google/nano-banana-pro-preview
+  - google/gemini-robotics-er-1.5-preview
+  - google/gemini-2.5-computer-use-preview-10-2025
+  - google/deep-research-pro-preview-12-2025
+  mistralai:
+  - mistralai/mistral-medium-2505
+  - mistralai/mistral-medium-2508
+  - mistralai/mistral-medium-latest
+  - mistralai/mistral-medium
+  - mistralai/open-mistral-nemo
+  - mistralai/open-mistral-nemo-2407
+  - mistralai/mistral-tiny-2407
+  - mistralai/mistral-tiny-latest
+  - mistralai/mistral-large-2411
+  - mistralai/pixtral-large-2411
+  - mistralai/pixtral-large-latest
+  - mistralai/mistral-large-pixtral-2411
+  - mistralai/codestral-2508
+  - mistralai/codestral-latest
+  - mistralai/devstral-small-2507
+  - mistralai/devstral-medium-2507
+  - mistralai/devstral-2512
+  - mistralai/mistral-vibe-cli-latest
+  - mistralai/devstral-medium-latest
+  - mistralai/devstral-latest
+  - mistralai/labs-devstral-small-2512
+  - mistralai/devstral-small-latest
+  - mistralai/mistral-small-2506
+  - mistralai/mistral-small-latest
+  - mistralai/labs-mistral-small-creative
+  - mistralai/magistral-medium-2509
+  - mistralai/magistral-medium-latest
+  - mistralai/magistral-small-2509
+  - mistralai/magistral-small-latest
+  - mistralai/mistral-large-2512
+  - mistralai/mistral-large-latest
+  - mistralai/ministral-3b-2512
+  - mistralai/ministral-3b-latest
+  - mistralai/ministral-8b-2512
+  - mistralai/ministral-8b-latest
+  - mistralai/ministral-14b-2512
+  - mistralai/ministral-14b-latest
+  - mistralai/open-mistral-7b
+  - mistralai/mistral-tiny
+  - mistralai/mistral-tiny-2312
+  - mistralai/pixtral-12b-2409
+  - mistralai/pixtral-12b
+  - mistralai/pixtral-12b-latest
+  - mistralai/ministral-3b-2410
+  - mistralai/ministral-8b-2410
+  - mistralai/codestral-2501
+  - mistralai/codestral-2412
+  - mistralai/codestral-2411-rc5
+  - mistralai/mistral-small-2501
+  - mistralai/mistral-embed-2312
+  - mistralai/mistral-embed
+  - mistralai/codestral-embed
+  - mistralai/codestral-embed-2505
+  z-ai:
+  - z-ai/glm-4.5
+  - z-ai/glm-4.5-air
+  - z-ai/glm-4.6
+  - z-ai/glm-4.7
+  amazon:
+  - amazon/amazon.nova-pro-v1:0
+  - amazon/amazon.nova-2-lite-v1:0
+  - amazon/amazon.nova-2-sonic-v1:0
+  - amazon/amazon.titan-tg1-large
+  - amazon/amazon.nova-premier-v1:0:8k
+  - amazon/amazon.nova-premier-v1:0:20k
+  - amazon/amazon.nova-premier-v1:0:1000k
+  - amazon/amazon.nova-premier-v1:0:mm
+  - amazon/amazon.nova-premier-v1:0
+  - amazon/amazon.nova-lite-v1:0
+  - amazon/amazon.nova-micro-v1:0
+  deepseek:
+  - deepseek/deepseek-chat
+  - deepseek/deepseek-reasoner
+  x-ai:
+  - x-ai/grok-2-vision-1212
+  - x-ai/grok-3
+  - x-ai/grok-3-mini
+  - x-ai/grok-4-0709
+  - x-ai/grok-4-1-fast-non-reasoning
+  - x-ai/grok-4-1-fast-reasoning
+  - x-ai/grok-4-fast-non-reasoning
+  - x-ai/grok-4-fast-reasoning
+  - x-ai/grok-code-fast-1
+  moonshotai:
+  - moonshotai/kimi-latest
+  - moonshotai/kimi-k2.5
+  - moonshotai/moonshot-v1-8k-vision-preview
+  - moonshotai/kimi-k2-thinking
+  - moonshotai/moonshot-v1-auto
+  - moonshotai/kimi-k2-0711-preview
+  - moonshotai/moonshot-v1-32k
+  - moonshotai/kimi-k2-thinking-turbo
+  - moonshotai/kimi-k2-0905-preview
+  - moonshotai/moonshot-v1-128k
+  - moonshotai/moonshot-v1-32k-vision-preview
+  - moonshotai/moonshot-v1-128k-vision-preview
+  - moonshotai/kimi-k2-turbo-preview
+  - moonshotai/moonshot-v1-8k
+  anthropic:
+  - anthropic/claude-opus-4-5-20251101
+  - anthropic/claude-opus-4-5
+  - anthropic/claude-haiku-4-5-20251001
+  - anthropic/claude-haiku-4-5
+  - anthropic/claude-sonnet-4-5-20250929
+  - anthropic/claude-sonnet-4-5
+  - anthropic/claude-opus-4-1-20250805
+  - anthropic/claude-opus-4-1
+  - anthropic/claude-opus-4-20250514
+  - anthropic/claude-opus-4
+  - anthropic/claude-sonnet-4-20250514
+  - anthropic/claude-sonnet-4
+  - anthropic/claude-3-7-sonnet-20250219
+  - anthropic/claude-3-7-sonnet
+  - anthropic/claude-3-5-haiku-20241022
+  - anthropic/claude-3-5-haiku
+  - anthropic/claude-3-haiku-20240307
+  - anthropic/claude-3-haiku
+metadata:
+  total_providers: 10
+  total_models: 298
+  last_updated: 2026-01-27T22:40:53.653700+00:00
diff --git a/searchindex.js b/searchindex.js
index 90456f3c..a5ce3d24 100755
--- a/searchindex.js
+++ b/searchindex.js
@@ -1 +1 @@
-Search.setIndex({"alltitles":{"AWS X-Ray":[[17,"aws-x-ray"]],"Access Logging":[[14,null]],"Additional Resources":[[17,"additional-resources"]],"Advanced Configuration":[[6,"advanced-configuration"]],"Advanced Features":[[4,"advanced-features"]],"Advanced Features (Coming Soon)":[[5,"advanced-features-coming-soon"]],"Agent Orchestration":[[0,"agent-orchestration"]],"Agent Processing":[[17,"agent-processing"]],"Agent Structure":[[18,"agent-structure"]],"Agents":[[0,null]],"Alias-based routing":[[13,"alias-based-routing"]],"Amazon Bedrock":[[6,"amazon-bedrock"]],"Anthropic":[[6,"anthropic"]],"Anthropic (Python) SDK":[[3,"anthropic-python-sdk"]],"Arch-Function":[[12,"arch-function"]],"Arch-Router":[[13,"id7"]],"Azure OpenAI":[[6,"azure-openai"]],"Base URL Configuration":[[6,"base-url-configuration"]],"Basic Configuration":[[5,"basic-configuration"],[7,"basic-configuration"]],"Behavioral Signals in Traces":[[17,"behavioral-signals-in-traces"]],"Benefits of Using Traceparent Headers":[[17,"benefits-of-using-traceparent-headers"]],"Best Practices":[[3,"best-practices"],[8,"best-practices"],[17,"best-practices"],[18,"best-practices"],[20,"best-practices"]],"Best Practices and Tips":[[12,"best-practices-and-tips"]],"Best practices":[[13,"best-practices"]],"Bright Staff":[[25,null]],"Build Agentic Apps with Plano":[[11,"build-agentic-apps-with-plano"]],"Build Multi-Turn RAG Apps":[[7,"build-multi-turn-rag-apps"]],"Build with Plano":[[10,"build-with-plano"]],"Building agents with Plano orchestration":[[11,"building-agents-with-plano-orchestration"]],"Calling External APIs":[[18,"calling-external-apis"]],"Client Libraries":[[3,null]],"Client usage":[[13,"client-usage"],[13,"id4"],[13,"id6"]],"Combining Routing Methods":[[13,"combining-routing-methods"]],"Common Issues and Solutions":[[23,"common-issues-and-solutions"]],"Common Use Cases":[[4,"common-use-cases"],[18,"common-use-cases"]],"Concepts":[[10,"concepts"],[21,null]],"Configuration":[[13,"configuration"],[13,"id3"],[13,"id5"],[18,"configuration"],[20,"configuration"],[26,"configuration"]],"Configuration Overview":[[20,"configuration-overview"]],"Configuration Reference":[[22,null]],"Configuration Structure":[[6,"configuration-structure"]],"Configuration example":[[1,"configuration-example"]],"Configure Listeners":[[2,"configure-listeners"]],"Configure Monitoring":[[15,"configure-monitoring"]],"Conversational State":[[20,null]],"Core Capabilities":[[4,"core-capabilities"]],"Core Signal Types":[[8,"core-signal-types"]],"Cross-Client Compatibility":[[3,"cross-client-compatibility"]],"Datadog":[[17,"datadog"]],"DeepSeek":[[6,"deepseek"]],"Default Model Configuration":[[6,"default-model-configuration"]],"Defining Parameters":[[7,"defining-parameters"]],"Demo App":[[7,"demo-app"]],"Deployment":[[23,null]],"Deterministic API calls with prompt targets":[[11,"deterministic-api-calls-with-prompt-targets"]],"Docker Compose Setup":[[23,"docker-compose-setup"]],"Docker Deployment":[[23,"docker-deployment"]],"Error Handling":[[3,"error-handling"]],"Escalation Requests":[[8,"escalation-requests"]],"Example 2: Switching Intent":[[7,"example-2-switching-intent"]],"Example Configuration For Tools":[[7,"example-configuration-for-tools"]],"Example Use Cases":[[12,"example-use-cases"],[13,"example-use-cases"]],"Example with OpenTelemetry in Python":[[17,"example-with-opentelemetry-in-python"]],"Example: Travel Booking Assistant":[[18,"example-travel-booking-assistant"]],"Filter Chain Programming Model (HTTP and MCP)":[[1,"filter-chain-programming-model-http-and-mcp"]],"Filter Chains":[[1,null]],"First-Class Providers":[[6,"first-class-providers"]],"Follow-Up & Repair Frequency":[[8,"follow-up-repair-frequency"]],"Function Calling":[[12,null]],"Function Calling Workflow":[[12,"function-calling-workflow"]],"Gateway Endpoints":[[3,"gateway-endpoints"]],"Gateway Smoke Test":[[23,"gateway-smoke-test"]],"Get Started":[[10,"get-started"],[21,null]],"Getting Started":[[4,"getting-started"]],"Google Gemini":[[6,"google-gemini"]],"Groq":[[6,"groq"]],"Guardrails":[[19,null]],"Guides":[[10,"guides"],[21,null]],"Handoff to Upstream Services":[[17,"handoff-to-upstream-services"]],"Header Format":[[17,"header-format"]],"High level architecture":[[26,"high-level-architecture"]],"How Guardrails Work":[[19,"how-guardrails-work"]],"How It Works":[[8,"how-it-works"],[14,"how-it-works"],[18,"how-it-works"],[20,"how-it-works"]],"How to Initiate A Trace":[[17,"how-to-initiate-a-trace"]],"Implementation":[[18,"implementation"]],"Implementing Function Calling":[[12,"implementing-function-calling"]],"Inbound (Agent & Prompt Target)":[[2,"inbound-agent-prompt-target"]],"Inbound Request Handling":[[17,"inbound-request-handling"]],"Information Extraction with LLMs":[[18,"information-extraction-with-llms"]],"Inner Loop (Agent Logic)":[[0,"inner-loop-agent-logic"]],"Inner Loop vs. Outer Loop":[[0,"inner-loop-vs-outer-loop"]],"Instrumentation":[[17,"instrumentation"]],"Integrating with Tracing Tools":[[17,"integrating-with-tracing-tools"]],"Intro to Plano":[[9,null]],"Key Benefits":[[0,"key-benefits"],[4,"key-benefits"]],"Key Features":[[7,"key-features"],[12,"key-features"],[14,"key-features"]],"LLM Routing":[[13,null]],"Langtrace":[[17,"langtrace"]],"Limitations and Considerations":[[8,"limitations-and-considerations"]],"Listeners":[[2,null]],"Log Format":[[14,"log-format"]],"Memory Storage (Development)":[[20,"memory-storage-development"]],"Metrics Dashboard (via Grafana)":[[15,"metrics-dashboard-via-grafana"]],"Mistral AI":[[6,"mistral-ai"]],"Model (LLM) Providers":[[4,null]],"Model Aliases":[[5,null]],"Model Selection Guidelines":[[6,"model-selection-guidelines"]],"Model-Based Routing":[[23,"model-based-routing"]],"Model-based routing":[[13,"model-based-routing"]],"Monitoring":[[15,null]],"Moonshot AI":[[6,"moonshot-ai"]],"Multi-Turn":[[7,"multi-turn"]],"Multiple Provider Instances":[[6,"multiple-provider-instances"]],"Naming Best Practices":[[5,"naming-best-practices"]],"Network Topology":[[2,"network-topology"]],"Network topology":[[26,"network-topology"]],"Next Steps":[[11,"next-steps"],[18,"next-steps"],[20,"next-steps"]],"Observability":[[16,null]],"Ollama":[[6,"ollama"]],"OpenAI":[[6,"openai"]],"OpenAI (Python) SDK":[[3,"openai-python-sdk"]],"OpenAI Responses API (Conversational State)":[[3,"openai-responses-api-conversational-state"]],"OpenAI-Compatible Providers":[[6,"openai-compatible-providers"]],"Orchestration":[[18,null]],"Orchestration & Routing":[[17,"orchestration-routing"]],"Outbound (Model Proxy & Egress)":[[2,"outbound-model-proxy-egress"]],"Outbound LLM Calls":[[17,"outbound-llm-calls"]],"Outer Loop (Orchestration)":[[0,"outer-loop-orchestration"]],"Overall Quality Assessment":[[8,"overall-quality-assessment"]],"Overview":[[10,null],[17,"overview"]],"Passthrough Authentication":[[6,"passthrough-authentication"]],"Positive Feedback":[[8,"positive-feedback"]],"Post-request processing":[[26,"post-request-processing"]],"PostgreSQL Storage (Production)":[[20,"postgresql-storage-production"]],"Preference-aligned routing (Arch-Router)":[[13,"preference-aligned-routing-arch-router"]],"Preparing Context and Generating Responses":[[18,"preparing-context-and-generating-responses"]],"Prerequisites":[[11,"prerequisites"],[20,"prerequisites"]],"Prompt Target":[[7,null]],"Provider Categories":[[6,"provider-categories"]],"Providers Requiring Base URL":[[6,"providers-requiring-base-url"]],"Quickstart":[[11,null]],"Qwen (Alibaba)":[[6,"qwen-alibaba"]],"Repetition & Looping":[[8,"repetition-looping"]],"Request Flow (Egress)":[[26,"request-flow-egress"]],"Request Flow (Ingress)":[[26,"request-flow-ingress"]],"Request Lifecycle":[[26,null]],"Resources":[[21,null]],"Routing Methods":[[13,"routing-methods"]],"Routing Preferences":[[6,"routing-preferences"]],"Runtime Tests":[[23,"runtime-tests"]],"Sampling and Prioritization":[[8,"sampling-and-prioritization"]],"See Also":[[3,"see-also"],[5,"see-also"],[6,"see-also"],[8,"see-also"]],"Signals vs Response Quality":[[8,"signals-vs-response-quality"]],"Signals\u2122":[[8,null]],"Starting the Stack":[[23,"starting-the-stack"]],"Step 1. Create plano config file":[[11,"step-1-create-plano-config-file"],[11,"id2"]],"Step 1. Minimal orchestration config":[[11,"step-1-minimal-orchestration-config"]],"Step 1: Define Plano Config":[[7,"step-1-define-plano-config"]],"Step 1: Define the Function":[[12,"step-1-define-the-function"]],"Step 2. Start plano":[[11,"step-2-start-plano"]],"Step 2. Start plano with currency conversion config":[[11,"step-2-start-plano-with-currency-conversion-config"]],"Step 2. Start your agents and Plano":[[11,"step-2-start-your-agents-and-plano"]],"Step 2: Configure Prompt Targets":[[12,"step-2-configure-prompt-targets"]],"Step 2: Process Request in Flask":[[7,"step-2-process-request-in-flask"]],"Step 3. Interacting with gateway using curl command":[[11,"step-3-interacting-with-gateway-using-curl-command"]],"Step 3. 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