mirror of
https://github.com/katanemo/plano.git
synced 2026-05-27 14:17:15 +02:00
deploy: 5400b0a2fa
This commit is contained in:
adilhafeez
parent
e062847e6e
commit
48ace749a5
3 changed files with 221 additions and 2 deletions
|
|
@ -363,6 +363,117 @@ Provides a practical mechanism to encode user preferences through domain-action
|
|||
<li><p><strong>Production-Ready Performance</strong>: Optimized for low-latency, high-throughput applications in multi-model environments.</p></li>
|
||||
</ul>
|
||||
</section>
|
||||
<section id="self-hosting-arch-router">
|
||||
<h2>Self-hosting Arch-Router<a @click.prevent="window.navigator.clipboard.writeText($el.href); $el.setAttribute('data-tooltip', 'Copied!'); setTimeout(() => $el.setAttribute('data-tooltip', 'Copy link to this element'), 2000)" aria-label="Copy link to this element" class="headerlink" data-tooltip="Copy link to this element" href="#self-hosting-arch-router" x-intersect.margin.0%.0%.-70%.0%="activeSection = '#self-hosting-arch-router'"><svg height="1em" viewbox="0 0 24 24" width="1em" xmlns="http://www.w3.org/2000/svg"><path d="M3.9 12c0-1.71 1.39-3.1 3.1-3.1h4V7H7c-2.76 0-5 2.24-5 5s2.24 5 5 5h4v-1.9H7c-1.71 0-3.1-1.39-3.1-3.1zM8 13h8v-2H8v2zm9-6h-4v1.9h4c1.71 0 3.1 1.39 3.1 3.1s-1.39 3.1-3.1 3.1h-4V17h4c2.76 0 5-2.24 5-5s-2.24-5-5-5z"></path></svg></a></h2>
|
||||
<p>By default, Plano uses a hosted Arch-Router endpoint. To run Arch-Router locally, you can serve the model yourself using either <strong>Ollama</strong> or <strong>vLLM</strong>.</p>
|
||||
<section id="using-ollama-recommended-for-local-development">
|
||||
<h3>Using Ollama (recommended for local development)<a @click.prevent="window.navigator.clipboard.writeText($el.href); $el.setAttribute('data-tooltip', 'Copied!'); setTimeout(() => $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="#using-ollama-recommended-for-local-development" x-intersect.margin.0%.0%.-70%.0%="activeSection = '#using-ollama-recommended-for-local-development'"><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>
|
||||
<ol class="arabic">
|
||||
<li><p><strong>Install Ollama</strong></p>
|
||||
<p>Download and install from <a class="reference external" href="https://ollama.ai" rel="nofollow noopener">ollama.ai<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>
|
||||
<li><p><strong>Pull and serve Arch-Router</strong></p>
|
||||
<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span><code><span id="line-1">ollama<span class="w"> </span>pull<span class="w"> </span>hf.co/katanemo/Arch-Router-1.5B.gguf:Q4_K_M
|
||||
</span><span id="line-2">ollama<span class="w"> </span>serve
|
||||
</span></code></pre></div>
|
||||
</div>
|
||||
<p>This downloads the quantized GGUF model from HuggingFace and starts serving on <code class="docutils literal notranslate"><span class="pre">http://localhost:11434</span></code>.</p>
|
||||
</li>
|
||||
<li><p><strong>Configure Plano to use local Arch-Router</strong></p>
|
||||
<div class="highlight-yaml notranslate"><div class="highlight"><pre><span></span><code><span id="line-1"><span class="nt">routing</span><span class="p">:</span>
|
||||
</span><span id="line-2"><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">Arch-Router</span>
|
||||
</span><span id="line-3"><span class="w"> </span><span class="nt">llm_provider</span><span class="p">:</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">arch-router</span>
|
||||
</span><span id="line-4">
|
||||
</span><span id="line-5"><span class="nt">model_providers</span><span class="p">:</span>
|
||||
</span><span id="line-6"><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">arch-router</span>
|
||||
</span><span id="line-7"><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">arch/hf.co/katanemo/Arch-Router-1.5B.gguf:Q4_K_M</span>
|
||||
</span><span id="line-8"><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">http://localhost:11434</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">openai/gpt-5.2</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">$OPENAI_API_KEY</span>
|
||||
</span><span id="line-12"><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-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">anthropic/claude-sonnet-4-5</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">$ANTHROPIC_API_KEY</span>
|
||||
</span><span id="line-16"><span class="w"> </span><span class="nt">routing_preferences</span><span class="p">:</span>
|
||||
</span><span id="line-17"><span class="w"> </span><span class="p p-Indicator">-</span><span class="w"> </span><span class="nt">name</span><span class="p">:</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">creative writing</span>
|
||||
</span><span id="line-18"><span class="w"> </span><span class="nt">description</span><span class="p">:</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">creative content generation, storytelling, and writing assistance</span>
|
||||
</span></code></pre></div>
|
||||
</div>
|
||||
</li>
|
||||
<li><p><strong>Verify the model is running</strong></p>
|
||||
<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span><code><span id="line-1">curl<span class="w"> </span>http://localhost:11434/v1/models
|
||||
</span></code></pre></div>
|
||||
</div>
|
||||
<p>You should see <code class="docutils literal notranslate"><span class="pre">Arch-Router-1.5B</span></code> listed in the response.</p>
|
||||
</li>
|
||||
</ol>
|
||||
</section>
|
||||
<section id="using-vllm-recommended-for-production-ec2">
|
||||
<h3>Using vLLM (recommended for production / EC2)<a @click.prevent="window.navigator.clipboard.writeText($el.href); $el.setAttribute('data-tooltip', 'Copied!'); setTimeout(() => $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="#using-vllm-recommended-for-production-ec2" x-intersect.margin.0%.0%.-70%.0%="activeSection = '#using-vllm-recommended-for-production-ec2'"><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>vLLM provides higher throughput and GPU optimizations suitable for production deployments.</p>
|
||||
<ol class="arabic">
|
||||
<li><p><strong>Install vLLM</strong></p>
|
||||
<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span><code><span id="line-1">pip<span class="w"> </span>install<span class="w"> </span>vllm
|
||||
</span></code></pre></div>
|
||||
</div>
|
||||
</li>
|
||||
<li><p><strong>Download the model weights</strong></p>
|
||||
<p>The GGUF weights are downloaded automatically from HuggingFace on first use. To pre-download:</p>
|
||||
<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span><code><span id="line-1">pip<span class="w"> </span>install<span class="w"> </span>huggingface_hub
|
||||
</span><span id="line-2">huggingface-cli<span class="w"> </span>download<span class="w"> </span>katanemo/Arch-Router-1.5B.gguf
|
||||
</span></code></pre></div>
|
||||
</div>
|
||||
</li>
|
||||
<li><p><strong>Start the vLLM server</strong></p>
|
||||
<p>After downloading, find the GGUF file and Jinja template in the HuggingFace cache:</p>
|
||||
<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span><code><span id="line-1"><span class="c1"># Find the downloaded files</span>
|
||||
</span><span id="line-2"><span class="nv">SNAPSHOT_DIR</span><span class="o">=</span><span class="k">$(</span>ls<span class="w"> </span>-d<span class="w"> </span>~/.cache/huggingface/hub/models--katanemo--Arch-Router-1.5B.gguf/snapshots/*/<span class="w"> </span><span class="p">|</span><span class="w"> </span>head<span class="w"> </span>-1<span class="k">)</span>
|
||||
</span><span id="line-3">
|
||||
</span><span id="line-4">vllm<span class="w"> </span>serve<span class="w"> </span><span class="si">${</span><span class="nv">SNAPSHOT_DIR</span><span class="si">}</span>Arch-Router-1.5B-Q4_K_M.gguf<span class="w"> </span><span class="se">\</span>
|
||||
</span><span id="line-5"><span class="w"> </span>--host<span class="w"> </span><span class="m">0</span>.0.0.0<span class="w"> </span><span class="se">\</span>
|
||||
</span><span id="line-6"><span class="w"> </span>--port<span class="w"> </span><span class="m">10000</span><span class="w"> </span><span class="se">\</span>
|
||||
</span><span id="line-7"><span class="w"> </span>--load-format<span class="w"> </span>gguf<span class="w"> </span><span class="se">\</span>
|
||||
</span><span id="line-8"><span class="w"> </span>--chat-template<span class="w"> </span><span class="si">${</span><span class="nv">SNAPSHOT_DIR</span><span class="si">}</span>template.jinja<span class="w"> </span><span class="se">\</span>
|
||||
</span><span id="line-9"><span class="w"> </span>--tokenizer<span class="w"> </span>katanemo/Arch-Router-1.5B<span class="w"> </span><span class="se">\</span>
|
||||
</span><span id="line-10"><span class="w"> </span>--served-model-name<span class="w"> </span>Arch-Router<span class="w"> </span><span class="se">\</span>
|
||||
</span><span id="line-11"><span class="w"> </span>--gpu-memory-utilization<span class="w"> </span><span class="m">0</span>.3<span class="w"> </span><span class="se">\</span>
|
||||
</span><span id="line-12"><span class="w"> </span>--tensor-parallel-size<span class="w"> </span><span class="m">1</span><span class="w"> </span><span class="se">\</span>
|
||||
</span><span id="line-13"><span class="w"> </span>--enable-prefix-caching
|
||||
</span></code></pre></div>
|
||||
</div>
|
||||
</li>
|
||||
<li><p><strong>Configure Plano to use the vLLM endpoint</strong></p>
|
||||
<div class="highlight-yaml notranslate"><div class="highlight"><pre><span></span><code><span id="line-1"><span class="nt">routing</span><span class="p">:</span>
|
||||
</span><span id="line-2"><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">Arch-Router</span>
|
||||
</span><span id="line-3"><span class="w"> </span><span class="nt">llm_provider</span><span class="p">:</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">arch-router</span>
|
||||
</span><span id="line-4">
|
||||
</span><span id="line-5"><span class="nt">model_providers</span><span class="p">:</span>
|
||||
</span><span id="line-6"><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">arch-router</span>
|
||||
</span><span id="line-7"><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">Arch-Router</span>
|
||||
</span><span id="line-8"><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">http://<your-server-ip>:10000</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">openai/gpt-5.2</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">$OPENAI_API_KEY</span>
|
||||
</span><span id="line-12"><span class="w"> </span><span class="nt">default</span><span class="p">:</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">true</span>
|
||||
</span><span id="line-13">
|
||||
</span><span id="line-14"><span class="w"> </span><span class="p p-Indicator">-</span><span class="w"> </span><span class="nt">model</span><span class="p">:</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">anthropic/claude-sonnet-4-5</span>
|
||||
</span><span id="line-15"><span class="w"> </span><span class="nt">access_key</span><span class="p">:</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">$ANTHROPIC_API_KEY</span>
|
||||
</span><span id="line-16"><span class="w"> </span><span class="nt">routing_preferences</span><span class="p">:</span>
|
||||
</span><span id="line-17"><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">creative writing</span>
|
||||
</span><span id="line-18"><span class="w"> </span><span class="nt">description</span><span class="p">:</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">creative content generation, storytelling, and writing assistance</span>
|
||||
</span></code></pre></div>
|
||||
</div>
|
||||
</li>
|
||||
<li><p><strong>Verify the server is running</strong></p>
|
||||
<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span><code><span id="line-1">curl<span class="w"> </span>http://localhost:10000/health
|
||||
</span><span id="line-2">curl<span class="w"> </span>http://localhost:10000/v1/models
|
||||
</span></code></pre></div>
|
||||
</div>
|
||||
</li>
|
||||
</ol>
|
||||
</section>
|
||||
</section>
|
||||
<section id="combining-routing-methods">
|
||||
<h2>Combining Routing Methods<a @click.prevent="window.navigator.clipboard.writeText($el.href); $el.setAttribute('data-tooltip', 'Copied!'); setTimeout(() => $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="#combining-routing-methods" x-intersect.margin.0%.0%.-70%.0%="activeSection = '#combining-routing-methods'"><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></h2>
|
||||
<p>You can combine static model selection with dynamic routing preferences for maximum flexibility:</p>
|
||||
|
|
@ -495,6 +606,11 @@ Provides a practical mechanism to encode user preferences through domain-action
|
|||
</ul>
|
||||
</li>
|
||||
<li><a :data-current="activeSection === '#id7'" class="reference internal" href="#id7">Arch-Router</a></li>
|
||||
<li><a :data-current="activeSection === '#self-hosting-arch-router'" class="reference internal" href="#self-hosting-arch-router">Self-hosting Arch-Router</a><ul>
|
||||
<li><a :data-current="activeSection === '#using-ollama-recommended-for-local-development'" class="reference internal" href="#using-ollama-recommended-for-local-development">Using Ollama (recommended for local development)</a></li>
|
||||
<li><a :data-current="activeSection === '#using-vllm-recommended-for-production-ec2'" class="reference internal" href="#using-vllm-recommended-for-production-ec2">Using vLLM (recommended for production / EC2)</a></li>
|
||||
</ul>
|
||||
</li>
|
||||
<li><a :data-current="activeSection === '#combining-routing-methods'" class="reference internal" href="#combining-routing-methods">Combining Routing Methods</a></li>
|
||||
<li><a :data-current="activeSection === '#example-use-cases'" class="reference internal" href="#example-use-cases">Example Use Cases</a></li>
|
||||
<li><a :data-current="activeSection === '#best-practices'" class="reference internal" href="#best-practices">Best practices</a></li>
|
||||
|
|
|
|||
|
|
@ -1,6 +1,6 @@
|
|||
Plano Docs v0.4.11
|
||||
llms.txt (auto-generated)
|
||||
Generated (UTC): 2026-03-11T19:50:12.195349+00:00
|
||||
Generated (UTC): 2026-03-11T22:29:16.432883+00:00
|
||||
|
||||
Table of contents
|
||||
- Agents (concepts/agents)
|
||||
|
|
@ -3756,6 +3756,109 @@ Flexible and Adaptive: Supports evolving user needs, model updates, and new doma
|
|||
|
||||
Production-Ready Performance: Optimized for low-latency, high-throughput applications in multi-model environments.
|
||||
|
||||
Self-hosting Arch-Router
|
||||
|
||||
By default, Plano uses a hosted Arch-Router endpoint. To run Arch-Router locally, you can serve the model yourself using either Ollama or vLLM.
|
||||
|
||||
Using Ollama (recommended for local development)
|
||||
|
||||
Install Ollama
|
||||
|
||||
Download and install from ollama.ai.
|
||||
|
||||
Pull and serve Arch-Router
|
||||
|
||||
ollama pull hf.co/katanemo/Arch-Router-1.5B.gguf:Q4_K_M
|
||||
ollama serve
|
||||
|
||||
This downloads the quantized GGUF model from HuggingFace and starts serving on http://localhost:11434.
|
||||
|
||||
Configure Plano to use local Arch-Router
|
||||
|
||||
routing:
|
||||
model: Arch-Router
|
||||
llm_provider: arch-router
|
||||
|
||||
model_providers:
|
||||
- name: arch-router
|
||||
model: arch/hf.co/katanemo/Arch-Router-1.5B.gguf:Q4_K_M
|
||||
base_url: http://localhost:11434
|
||||
|
||||
- model: openai/gpt-5.2
|
||||
access_key: $OPENAI_API_KEY
|
||||
default: true
|
||||
|
||||
- model: anthropic/claude-sonnet-4-5
|
||||
access_key: $ANTHROPIC_API_KEY
|
||||
routing_preferences:
|
||||
- name: creative writing
|
||||
description: creative content generation, storytelling, and writing assistance
|
||||
|
||||
Verify the model is running
|
||||
|
||||
curl http://localhost:11434/v1/models
|
||||
|
||||
You should see Arch-Router-1.5B listed in the response.
|
||||
|
||||
Using vLLM (recommended for production / EC2)
|
||||
|
||||
vLLM provides higher throughput and GPU optimizations suitable for production deployments.
|
||||
|
||||
Install vLLM
|
||||
|
||||
pip install vllm
|
||||
|
||||
Download the model weights
|
||||
|
||||
The GGUF weights are downloaded automatically from HuggingFace on first use. To pre-download:
|
||||
|
||||
pip install huggingface_hub
|
||||
huggingface-cli download katanemo/Arch-Router-1.5B.gguf
|
||||
|
||||
Start the vLLM server
|
||||
|
||||
After downloading, find the GGUF file and Jinja template in the HuggingFace cache:
|
||||
|
||||
# Find the downloaded files
|
||||
SNAPSHOT_DIR=$(ls -d ~/.cache/huggingface/hub/models--katanemo--Arch-Router-1.5B.gguf/snapshots/*/ | head -1)
|
||||
|
||||
vllm serve ${SNAPSHOT_DIR}Arch-Router-1.5B-Q4_K_M.gguf \
|
||||
--host 0.0.0.0 \
|
||||
--port 10000 \
|
||||
--load-format gguf \
|
||||
--chat-template ${SNAPSHOT_DIR}template.jinja \
|
||||
--tokenizer katanemo/Arch-Router-1.5B \
|
||||
--served-model-name Arch-Router \
|
||||
--gpu-memory-utilization 0.3 \
|
||||
--tensor-parallel-size 1 \
|
||||
--enable-prefix-caching
|
||||
|
||||
Configure Plano to use the vLLM endpoint
|
||||
|
||||
routing:
|
||||
model: Arch-Router
|
||||
llm_provider: arch-router
|
||||
|
||||
model_providers:
|
||||
- name: arch-router
|
||||
model: Arch-Router
|
||||
base_url: http://<your-server-ip>:10000
|
||||
|
||||
- model: openai/gpt-5.2
|
||||
access_key: $OPENAI_API_KEY
|
||||
default: true
|
||||
|
||||
- model: anthropic/claude-sonnet-4-5
|
||||
access_key: $ANTHROPIC_API_KEY
|
||||
routing_preferences:
|
||||
- name: creative writing
|
||||
description: creative content generation, storytelling, and writing assistance
|
||||
|
||||
Verify the server is running
|
||||
|
||||
curl http://localhost:10000/health
|
||||
curl http://localhost:10000/v1/models
|
||||
|
||||
Combining Routing Methods
|
||||
|
||||
You can combine static model selection with dynamic routing preferences for maximum flexibility:
|
||||
|
|
|
|||
File diff suppressed because one or more lines are too long
Loading…
Add table
Add a link
Reference in a new issue