deploy: d66f4c7

_sources/core_concepts/configuration.rst.txt

@@ -5,16 +5,18 @@ Configuration
 ell provides various configuration options to customize its behavior.
 
 .. autofunction:: ell.init
+   :no-index:
 
 This ``init`` function is a convenience function that sets up the configuration for ell. It is a thin wrapper around the ``Config`` class, which is a Pydantic model.
 
 You can modify the global configuration using the ``ell.config`` object which is an instance of ``Config``:
 
 .. autopydantic_model:: ell.Config
     :members:
-    :exclude-members: default_client, registry, store
+    :exclude-members: default_client, registry, store, providers
     :model-show-json: false
     :model-show-validator-members: false
     :model-show-config-summary: false
-    :model-show-field-summary: false
-    :model-show-validator-summary: false
+    :model-show-field-summary: true
+    :model-show-validator-summary: false
+    :no-index:

_sources/core_concepts/tool_usage.rst.txt

@@ -271,7 +271,7 @@ This is accomplished by a language model program that takes the source code of a
 
 .. code-block:: python
 
-    @ell.simple(model="claude-3-5-sonnet", temperature=0.0)
+    @ell.simple(model="claude-3-5-sonnet-20241022", temperature=0.0)
     def generate_tool_spec(tool_source: str):
         '''
         You are a helpful assistant that takes in source code for a python function and produces a JSON schema for the function.

_sources/installation.rst.txt

@@ -10,20 +10,87 @@ Installing ell
 
    .. code-block:: bash
 
-      pip install -U ell-ai
+      pip install -U ell-ai[all]
 
-   By default, this installs only the OpenAI client SDK. If you want to include the Anthropic client SDK, use the "anthropic" extra like so:
-
-   .. code-block:: bash
-
-      pip install -U 'ell-ai[anthropic]'
+   This installs ``ell``, ``ell-studio``, versioning and tracing with SQLite, and the default provider clients.
 
 2. Verify installation:
 
    .. code-block:: bash
 
       python -c "import ell; print(ell.__version__)"
 
+Custom Installation
+-------------------
+
+You can create a custom ``ell`` installation with the following options.
+
+Install ``ell`` without storage or ``ell-studio`` and with the default OpenAI client:
+
+.. code-block:: bash
+
+   pip install -U ell-ai
+
+Supported options:
+
+``anthropic``
+~~~~~~~~~~~~~
+Adds the Anthropic client.
+
+.. code-block:: bash
+
+   pip install -U ell-ai[anthropic]
+
+
+``groq``
+~~~~~~~~
+Adds the Groq client.
+
+.. code-block:: bash
+
+   pip install -U ell-ai[groq]
+
+
+``studio``
+~~~~~~~~~~
+Adds ``ell-studio``.
+
+.. code-block:: bash
+
+   pip install -U ell-ai[studio]
+
+
+``sqlite``
+~~~~~~~~~~
+SQLite storage for versioning and tracing.
+
+.. code-block:: bash
+
+   pip install -U ell-ai[sqlite]
+
+
+``postgres``
+~~~~~~~~~~~~
+Postgres storage for versioning and tracing.
+
+Include this option if you'd like to use ``ell-studio`` with Postgres.
+
+.. code-block:: bash
+
+   pip install -U ell-ai[postgres]
+
+Combining options
+~~~~~~~~~~~~~~~~~
+
+All options are additive and can be combined as needed.
+
+Example: Install ``ell`` with ``ell-studio``, Postgres, and the Anthropic client:
+
+.. code-block:: bash
+
+   pip install -U ell-ai[studio, postgres, anthropic]
+
+
 API Key Setup
 -------------
 

core_concepts/ell_simple.html

@@ -585,8 +585,8 @@ <h2>Reference<a class="headerlink" href="#reference" title="Link to this heading
 </div>
 <p>See Also:</p>
 <ul class="simple">
-<li><p><a class="reference internal" href="ell_complex.html#ell.complex" title="ell.complex"><code class="xref py py-func docutils literal notranslate"><span class="pre">ell.complex()</span></code></a>: For LMPs that preserve full structure of model responses, including multimodal outputs.</p></li>
-<li><p><code class="xref py py-func docutils literal notranslate"><span class="pre">ell.tool()</span></code>: For defining tools that can be used within complex LMPs.</p></li>
+<li><p><a class="reference internal" href="../reference/index.html#ell.complex" title="ell.complex"><code class="xref py py-func docutils literal notranslate"><span class="pre">ell.complex()</span></code></a>: For LMPs that preserve full structure of model responses, including multimodal outputs.</p></li>
+<li><p><a class="reference internal" href="../reference/index.html#ell.tool" title="ell.tool"><code class="xref py py-func docutils literal notranslate"><span class="pre">ell.tool()</span></code></a>: For defining tools that can be used within complex LMPs.</p></li>
 <li><p><code class="xref py py-mod docutils literal notranslate"><span class="pre">ell.studio</span></code>: For visualizing and analyzing LMP executions.</p></li>
 </ul>
 </dd></dl>

core_concepts/tool_usage.html

@@ -576,7 +576,7 @@ <h2>Future Features: Tool Spec Autogeneration<a class="headerlink" href="#future
 </span></code></pre></div>
 </div>
 <p>This is accomplished by a language model program that takes the source code of a tool function as input and generates the corresponding tool specification.</p>
-<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><code><span id="line-1"><span class="nd">@ell</span><span class="o">.</span><span class="n">simple</span><span class="p">(</span><span class="n">model</span><span class="o">=</span><span class="s2">"claude-3-5-sonnet"</span><span class="p">,</span> <span class="n">temperature</span><span class="o">=</span><span class="mf">0.0</span><span class="p">)</span>
+<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><code><span id="line-1"><span class="nd">@ell</span><span class="o">.</span><span class="n">simple</span><span class="p">(</span><span class="n">model</span><span class="o">=</span><span class="s2">"claude-3-5-sonnet-20241022"</span><span class="p">,</span> <span class="n">temperature</span><span class="o">=</span><span class="mf">0.0</span><span class="p">)</span>
 </span><span id="line-2"><span class="k">def</span> <span class="nf">generate_tool_spec</span><span class="p">(</span><span class="n">tool_source</span><span class="p">:</span> <span class="nb">str</span><span class="p">):</span>
 </span><span id="line-3"><span class="w">    </span><span class="sd">'''</span>
 </span><span id="line-4"><span class="sd">    You are a helpful assistant that takes in source code for a python function and produces a JSON schema for the function.</span>