Docs update for PR #1 on Promptless/langchain-test

docs/docs/how_to/tools_standard_tests.ipynb

@@ -1,4 +1,4 @@
 {
  "cells": [
   {
    "cell_type": "markdown",
@@ -90,6 +90,22 @@
     "There are 2 namespaces in the `langchain-tests` package: \n",
     "\n",
     "- unit tests (`langchain_standard_tests.unit_tests`): designed to be used to test the tool in isolation and without access to external services\n",
+    "- integration tests (`langchain_standard_tests.integration_tests`): designed to be used to test the tool with other tools and/or external services\n",
+    "\n",
+    "### Configure pytest-socket\n",
+    "\n",
+    "To ensure your tests are robust against network dependencies, you can use the `pytest-socket` package. This package allows you to disable network calls during your tests, which is especially useful for ensuring that unit tests do not make any network requests.\n",
+    "\n",
+    "In your `pytest` configuration, you can add the following to disable network calls:\n",
+    "```\n",
+    "# pytest.ini\n",
+    "[pytest]\n",
+    "addopts = --disable-socket\n",
+    "```\n",
+    "\n",
+    "This configuration will prevent any network calls from being made during the tests, helping to ensure that tests are truly isolated from external services."
+   ]
+  }
     "- integration tests (`langchain_standard_tests.integration_tests`): designed to be used to test the tool with access to external services (in particular, the external service that the tool is designed to interact with).\n",
     "\n",
     ":::note\n",

docs/docs/integrations/providers/ollama.mdx

@@ -70,4 +70,32 @@ from langchain_community.embeddings import OllamaEmbeddings
 
 See the notebook example [here](/docs/integrations/text_embedding/ollama).
 
+## Voice Input Support
 
+### Voice-Enabled Applications
+
+LangChain's Ollama models now support voice input, enabling voice-enabled applications such as virtual assistants and voice-controlled systems.
+
+#### Speech to Text Conversion
+
+The `SpeechToTextConverter` class allows for converting audio input to text, using the 'whisper' engine for speech recognition.
+
+```python
+from langchain_ollama.voice import SpeechToTextConverter
+
+stt_converter = SpeechToTextConverter(engine='whisper')
+text = stt_converter.convert(audio_input)
+```
+
+#### Voice Input Chain
+
+The `VoiceInputChain` class integrates the speech-to-text component with existing language model chains, allowing for seamless audio input processing.
+
+```python
+from langchain_ollama.voice import VoiceInputChain
+
+voice_chain = VoiceInputChain(stt_converter=stt_converter, llm_chain=ollama_chain)
+output = voice_chain.run(audio_input)
+```
+
+See the notebook example [here](/docs/integrations/voice_input/ollama).

docs/docs/versions/v0_2/overview.mdx

@@ -18,7 +18,7 @@ The following features have been added during the development of 0.1.x:
 - Tooling to visualize [your runnables](https://python.langchain.com/docs/expression_language/how_to/inspect/) or [your langgraph app](https://github.com/langchain-ai/langgraph/blob/main/examples/visualization.ipynb)
 - Interoperability of chat message histories across most providers
 - [Over 20+ partner packages in python](https://python.langchain.com/docs/integrations/providers/) for popular integrations
-
+- Voice input support for Ollama models, enabling voice-enabled applications and expanding usability in virtual assistants, voice-controlled systems, and accessibility tools.
 
 ## What’s coming to LangChain?
 

docs/docs/versions/v0_3/index.mdx

@@ -20,7 +20,9 @@ The following features have been added during the development of 0.2.x:
 - Added the ability to [dispatch custom events](https://python.langchain.com/v0.2/docs/how_to/callbacks_custom_events/).
 - Revamped integration docs and API reference. Read more [here](https://blog.langchain.dev/langchain-integration-docs-revamped/).
 - Marked as deprecated a number of legacy chains and added migration guides for all of them. These are slated for removal in `langchain` 1.0.0. See the deprecated chains and associated [migration guides here](https://python.langchain.com/v0.2/docs/versions/migrating_chains/).
+- Introduced voice input support for LangChain's Ollama models, enabling voice-enabled applications and expanding usability in virtual assistants, voice-controlled systems, and accessibility tools. This includes the new `SpeechToTextConverter` and `VoiceInputChain` classes.
 
+```
 ## How to update your code
 
 If you're using `langchain` / `langchain-community` / `langchain-core` 0.0 or 0.1, we recommend that you first [upgrade to 0.2](https://python.langchain.com/v0.2/docs/versions/v0_2/).