Fix caps to expected caps for LangChain provider (and to match docs)

.grit/dealias_trulens_eval.grit

@@ -36,8 +36,8 @@ any {
   `from trulens_eval import Huggingface as $alias` => `from trulens.providers.huggingface.provider import Huggingface as $alias`,
   `from trulens_eval import HuggingfaceLocal` => `from trulens.providers.huggingface.provider import HuggingfaceLocal`,
   `from trulens_eval import HuggingfaceLocal as $alias` => `from trulens.providers.huggingface.provider import HuggingfaceLocal as $alias`,
-  `from trulens_eval import Langchain` => `from trulens.providers.langchain.provider import Langchain`,
-  `from trulens_eval import Langchain as $alias` => `from trulens.providers.langchain.provider import Langchain as $alias`,
+  `from trulens_eval import LangChain` => `from trulens.providers.langchain.provider import LangChain`,
+  `from trulens_eval import LangChain as $alias` => `from trulens.providers.langchain.provider import LangChain as $alias`,
   `from trulens_eval import TruChain` => `from trulens.apps.langchain.tru_chain import TruChain`,
   `from trulens_eval import TruChain as $alias` => `from trulens.apps.langchain.tru_chain import TruChain as $alias`,
   `from trulens_eval import TruLlama` => `from trulens.apps.llamaindex.tru_llama import TruLlama`,
@@ -204,8 +204,8 @@ any {
   `from trulens_eval.feedback import Huggingface as $alias` => `from trulens.providers.huggingface.provider import Huggingface as $alias`,
   `from trulens_eval.feedback import HuggingfaceLocal` => `from trulens.providers.huggingface.provider import HuggingfaceLocal`,
   `from trulens_eval.feedback import HuggingfaceLocal as $alias` => `from trulens.providers.huggingface.provider import HuggingfaceLocal as $alias`,
-  `from trulens_eval.feedback import Langchain` => `from trulens.providers.langchain.provider import Langchain`,
-  `from trulens_eval.feedback import Langchain as $alias` => `from trulens.providers.langchain.provider import Langchain as $alias`,
+  `from trulens_eval.feedback import LangChain` => `from trulens.providers.langchain.provider import LangChain`,
+  `from trulens_eval.feedback import LangChain as $alias` => `from trulens.providers.langchain.provider import LangChain as $alias`,
   `from trulens_eval.feedback import Cortex` => `from trulens.providers.cortex.provider import Cortex`,
   `from trulens_eval.feedback import Cortex as $alias` => `from trulens.providers.cortex.provider import Cortex as $alias`,
   `from trulens_eval.feedback.embeddings import Embeddings` => `from trulens.feedback.embeddings import Embeddings`,
@@ -308,8 +308,8 @@ any {
   `from trulens_eval.feedback.provider import Huggingface as $alias` => `from trulens.providers.huggingface.provider import Huggingface as $alias`,
   `from trulens_eval.feedback.provider import HuggingfaceLocal` => `from trulens.providers.huggingface.provider import HuggingfaceLocal`,
   `from trulens_eval.feedback.provider import HuggingfaceLocal as $alias` => `from trulens.providers.huggingface.provider import HuggingfaceLocal as $alias`,
-  `from trulens_eval.feedback.provider import Langchain` => `from trulens.providers.langchain.provider import Langchain`,
-  `from trulens_eval.feedback.provider import Langchain as $alias` => `from trulens.providers.langchain.provider import Langchain as $alias`,
+  `from trulens_eval.feedback.provider import LangChain` => `from trulens.providers.langchain.provider import LangChain`,
+  `from trulens_eval.feedback.provider import LangChain as $alias` => `from trulens.providers.langchain.provider import LangChain as $alias`,
   `from trulens_eval.feedback.provider.base import Provider` => `from trulens.core.feedback.provider import Provider`,
   `from trulens_eval.feedback.provider.base import Provider as $alias` => `from trulens.core.feedback.provider import Provider as $alias`,
   `from trulens_eval.feedback.provider.base import LLMProvider` => `from trulens.feedback.llm_provider import LLMProvider`,
@@ -406,8 +406,8 @@ any {
   `from trulens_eval.feedback.provider.hugs import HuggingfaceBase as $alias` => `from trulens.providers.huggingface.provider import HuggingfaceBase as $alias`,
   `from trulens_eval.feedback.provider.hugs import HuggingfaceLocal` => `from trulens.providers.huggingface.provider import HuggingfaceLocal`,
   `from trulens_eval.feedback.provider.hugs import HuggingfaceLocal as $alias` => `from trulens.providers.huggingface.provider import HuggingfaceLocal as $alias`,
-  `from trulens_eval.feedback.provider.langchain import Langchain` => `from trulens.providers.langchain.provider import Langchain`,
-  `from trulens_eval.feedback.provider.langchain import Langchain as $alias` => `from trulens.providers.langchain.provider import Langchain as $alias`,
+  `from trulens_eval.feedback.provider.langchain import LangChain` => `from trulens.providers.langchain.provider import LangChain`,
+  `from trulens_eval.feedback.provider.langchain import LangChain as $alias` => `from trulens.providers.langchain.provider import LangChain as $alias`,
   `from trulens_eval.feedback.provider.litellm import LiteLLM` => `from trulens.providers.litellm.provider import LiteLLM`,
   `from trulens_eval.feedback.provider.litellm import LiteLLM as $alias` => `from trulens.providers.litellm.provider import LiteLLM as $alias`,
   `from trulens_eval.feedback.provider.openai import CLASS_INFO` => `from trulens.providers.openai.provider import CLASS_INFO`,

.grit/patterns/trulens_eval_migration.md

@@ -74,9 +74,9 @@ any {
       ),
       py_find_replace_import(
         from_package=`trulens_eval.feedback.provider.langchain`,
-        from_name=`Langchain`,
+        from_name=`LangChain`,
         to_package=`trulens.providers.langchain.provider`,
-        to_name=`Langchain`
+        to_name=`LangChain`
       ),
       py_find_replace_import(
         from_package=`trulens_eval.feedback.provider.litellm`,
@@ -350,15 +350,15 @@ any {
       ),
       py_find_replace_import(
           from_package=`trulens_eval.feedback.provider.langchain`,
-          from_name=`Langchain`,
+          from_name=`LangChain`,
           to_package=`trulens.providers.langchain.provider`,
-          to_name=`Langchain`
+          to_name=`LangChain`
       ),
       py_find_replace_import(
           from_package=`trulens_eval`,
-          from_name=`Langchain`,
+          from_name=`LangChain`,
           to_package=`trulens.providers.langchain.provider`,
-          to_name=`Langchain`
+          to_name=`LangChain`
       ),
       py_find_replace_import(
           from_package=`trulens_eval.feedback.provider.litellm`,
@@ -476,9 +476,9 @@ any {
       ),
       py_find_replace_import(
         from_package=`trulens_eval.feedback.provider.langchain`,
-        from_name=`Langchain`,
+        from_name=`LangChain`,
         to_package=`trulens.providers.langchain.provider`,
-        to_name=`Langchain`
+        to_name=`LangChain`
       ),
       py_find_replace_import(
         from_package=`trulens_eval.feedback.provider.litellm`,
@@ -562,7 +562,7 @@ from trulens.apps.custom import TruCustomApp
 from trulens.apps.basic import TruBasicApp
 ```
 
-## Updates to working with Langchain
+## Updates to working with LangChain
 
 ```python
 from trulens_eval import TruChain
@@ -680,18 +680,18 @@ from trulens_eval.feedback.provider.cortex import Cortex
 from trulens.providers.cortex.provider import Cortex
 ```
 
-## Using Langchain Provider
+## Using LangChain Provider
 ```python
 from trulens_eval import Cortex
 ```
 ```python
 from trulens.providers.cortex.provider import Cortex
 ```
 
-## Using Langchain Provider Full Import Path
+## Using LangChain Provider Full Import Path
 ```python
-from trulens_eval.feedback.provider.langchain import Langchain
+from trulens_eval.feedback.provider.langchain import LangChain
 ```
 ```python
-from trulens.providers.langchain.provider import Langchain
+from trulens.providers.langchain.provider import LangChain
 ```

docs/reference/index.md

@@ -34,8 +34,8 @@ types and providers:
     - 📦 [Cortex][trulens.providers.cortex.provider.Cortex] in the package
         `trulens-providers-cortex` for using Snowflake Cortex models.
 
-    - 📦 [Langchain][trulens.providers.langchain.provider.Langchain] in the package
-        `trulens-providers-langchain` for using models via Langchain.
+    - 📦 [LangChain][trulens.providers.langchain.provider.LangChain] in the package
+        `trulens-providers-langchain` for using models via LangChain.
 
     - 📦 [Bedrock][trulens.providers.bedrock.provider.Bedrock] in the package
         `trulens-providers-bedrock` for using Amazon Bedrock models.

docs/reference/providers/index.md

@@ -12,7 +12,7 @@ some derive from [LLMProvider][trulens.feedback.llm_provider.LLMProvider].
     pip install trulens-providers-cortex
     ```
 
-- [Langchain][trulens.providers.langchain.provider.Langchain] in package
+- [LangChain][trulens.providers.langchain.provider.LangChain] in package
   `trulens-providers-langchain`.
 
     ```bash

docs/trulens/evaluation/feedback_providers/index.md

@@ -31,7 +31,7 @@ Providers which use large language models for feedback evaluation:
   [AzureOpenAI provider][trulens.providers.openai.AzureOpenAI]
 - [Bedrock provider][trulens.providers.bedrock.Bedrock]
 - [LiteLLM provider][trulens.providers.litellm.LiteLLM]
-- [_LangChain_ provider][trulens.providers.langchain.Langchain]
+- [_LangChain_ provider][trulens.providers.langchain.LangChain]
 
 Feedback functions in common across these providers are in their abstract class
 [LLMProvider][trulens.feedback.LLMProvider].

docs/trulens/guardrails/index.md

@@ -18,7 +18,7 @@ If we consider a RAG, context filter guardrails can be used to evaluate the *con
 
 ## Using *TruLens* guardrails
 
-*TruLens* context filter guardrails are easy to add to your app built with custom python, *Langchain*, or *Llama-Index*.
+*TruLens* context filter guardrails are easy to add to your app built with custom python, *LangChain*, or *Llama-Index*.
 
 !!! example "Using context filter guardrails"
 
@@ -78,4 +78,4 @@ If we consider a RAG, context filter guardrails can be used to evaluate the *con
 
     Feedback function used as a guardrail must only return a float score, and cannot also return reasons.
 
-TruLens has native python and framework-specific tooling for implementing guardrails. Read more about the available guardrails in [native python][trulens.core.guardrails.base], [Langchain][trulens.apps.langchain.guardrails] and [Llama-Index][trulens.apps.llamaindex.guardrails].
+TruLens has native python and framework-specific tooling for implementing guardrails. Read more about the available guardrails in [native python][trulens.core.guardrails.base], [LangChain][trulens.apps.langchain.guardrails] and [Llama-Index][trulens.apps.llamaindex.guardrails].

docs/trulens/release_blog_1dot.md

@@ -79,7 +79,7 @@ To see the core re-architecture changes in action, we've included some usage exa
         ca = CustomApp()
         ```
 
-    === "Langchain"
+    === "LangChain"
 
         ```bash
         pip install trulens-apps-langchain

docs/trulens/tracking/instrumentation/langchain.md

@@ -14,7 +14,7 @@ apps.
 
 ## Example Usage
 
-To demonstrate usage, we'll create a standard RAG defined with Langchain Expression Language (LCEL).
+To demonstrate usage, we'll create a standard RAG defined with LangChain Expression Language (LCEL).
 
 First, this requires loading data into a vector store.
 
@@ -81,7 +81,7 @@ us to evaluate for metrics including context relevance and groundedness.
 For LangChain applications where the BaseRetriever is used, `select_context` can
 be used to access the retrieved text for evaluation.
 
-!!! example "Evaluating retrieved context in Langchain"
+!!! example "Evaluating retrieved context in LangChain"
 
     ```python
     import numpy as np

examples/expositional/frameworks/langchain/langchain_groundtruth.ipynb

@@ -79,7 +79,7 @@
    "source": [
     "### Create Simple LLM Application\n",
     "\n",
-    "This example uses Langchain with an OpenAI LLM."
+    "This example uses LangChain with an OpenAI LLM."
    ]
   },
   {

examples/expositional/frameworks/langchain/langchain_math_agent.ipynb

@@ -17,7 +17,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "### Import from Langchain and TruLens"
+    "### Import from LangChain and TruLens"
    ]
   },
   {

examples/expositional/index.md

@@ -1,5 +1,5 @@
 # 🧑‍🍳 TruLens Cookbook
 
-Examples for tracking and evaluating apps with _TruLens_. Examples are organized by different frameworks (such as Langchain or Llama-Index), model (including Azure, OSS models and more), vector store, and use case.
+Examples for tracking and evaluating apps with _TruLens_. Examples are organized by different frameworks (such as LangChain or Llama-Index), model (including Azure, OSS models and more), vector store, and use case.
 
 The examples in this cookbook are more focused on applying core concepts to external libraries or end to end applications than the [quickstarts](../trulens/getting_started/quickstarts/quickstart/).

examples/expositional/models/bedrock/bedrock.ipynb

@@ -26,7 +26,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "### Import from TruLens, Langchain and Boto3"
+    "### Import from TruLens, LangChain and Boto3"
    ]
   },
   {

src/apps/langchain/trulens/apps/langchain/guardrails.py

@@ -20,7 +20,7 @@ class WithFeedbackFilterDocuments(VectorStoreRetriever):
 
         threshold (float): and keep documents only if their feedback value is at least this threshold.
 
-    Example: "Using TruLens guardrail context filters with Langchain"
+    Example: "Using TruLens guardrail context filters with LangChain"
 
         ```python
         from trulens.apps.langchain import WithFeedbackFilterDocuments

src/core/trulens/core/session.py

@@ -75,7 +75,7 @@ class TruSession(
     referred to by `database_url`.
 
     Supported App Types:
-        [TruChain][trulens.apps.langchain.TruChain]: Langchain
+        [TruChain][trulens.apps.langchain.TruChain]: LangChain
             apps.
 
         [TruLlama][trulens.apps.llamaindex.TruLlama]: Llama Index

src/feedback/README.md

@@ -70,7 +70,7 @@ The components of this specifications are:
 
 ### langchain-specific selectors
 
-  - `Langchain.select_context()` -- outputs the selector for retrieved context
+  - `LangChain.select_context()` -- outputs the selector for retrieved context
     from the app's internal `get_relevant_documents` method.
 
 ### NeMo-specific selectors

src/feedback/trulens/feedback/llm_provider.py

@@ -32,7 +32,7 @@ class LLMProvider(Provider):
     interface to a [wide range of
     models](https://docs.litellm.ai/docs/providers).
 
-    * [Langchain][trulens.providers.langchain.Langchain].
+    * [LangChain][trulens.providers.langchain.LangChain].
 
     """
 
@@ -642,7 +642,7 @@ def model_agreement(self, prompt: str, response: str) -> float:
     def _langchain_evaluate(self, text: str, criteria: str) -> float:
         """
         Uses chat completion model. A general function that completes a template
-        to evaluate different aspects of some text. Prompt credit to Langchain.
+        to evaluate different aspects of some text. Prompt credit to LangChain.
 
         Args:
             text (str): A prompt to an agent.
@@ -667,7 +667,7 @@ def _langchain_evaluate_with_cot_reasons(
     ) -> Tuple[float, Dict]:
         """
         Uses chat completion model. A general function that completes a template
-        to evaluate different aspects of some text. Prompt credit to Langchain.
+        to evaluate different aspects of some text. Prompt credit to LangChain.
 
         Args:
             text (str): A prompt to an agent.
@@ -936,7 +936,7 @@ def helpfulness_with_cot_reasons(self, text: str) -> Tuple[float, Dict]:
     def controversiality(self, text: str) -> float:
         """
         Uses chat completion model. A function that completes a template to
-        check the controversiality of some text. Prompt credit to Langchain
+        check the controversiality of some text. Prompt credit to LangChain
         Eval.
 
         Example:
@@ -960,7 +960,7 @@ def controversiality_with_cot_reasons(
     ) -> Tuple[float, Dict]:
         """
         Uses chat completion model. A function that completes a template to
-        check the controversiality of some text. Prompt credit to Langchain
+        check the controversiality of some text. Prompt credit to LangChain
         Eval. Also uses chain of thought methodology and emits the reasons.
 
         Example:

src/providers/langchain/trulens/providers/langchain/__init__.py

@@ -14,11 +14,11 @@
 from importlib.metadata import version
 
 from trulens.core.utils.imports import safe_importlib_package_name
-from trulens.providers.langchain.provider import Langchain
+from trulens.providers.langchain.provider import LangChain
 
 __version__ = version(safe_importlib_package_name(__package__ or __name__))
 
 
 __all__ = [
-    "Langchain",
+    "LangChain",
 ]

src/providers/langchain/trulens/providers/langchain/provider.py

@@ -19,7 +19,7 @@ def _convert_message(message: Dict) -> BaseMessage:
     return AIMessage(content=message["content"])
 
 
-class Langchain(LLMProvider):
+class LangChain(LLMProvider):
     """Out of the box feedback functions using LangChain LLMs and ChatModels
 
     Create a LangChain Provider with out of the box feedback functions.

src/trulens_eval/trulens_eval/__init__.py

@@ -56,7 +56,7 @@
 with imports_utils.OptionalImports(
     messages=eval_optional_utils.REQUIREMENT_PROVIDER_LANGCHAIN
 ):
-    from trulens.providers.langchain.provider import Langchain
+    from trulens.providers.langchain.provider import LangChain
 
 with imports_utils.OptionalImports(
     messages=optional_utils.REQUIREMENT_APPS_LANGCHAIN
@@ -92,7 +92,7 @@
     "Provider",
     "AzureOpenAI",
     "OpenAI",
-    "Langchain",
+    "LangChain",
     "LiteLLM",
     "Bedrock",
     "Huggingface",

src/trulens_eval/trulens_eval/feedback/__init__.py

@@ -45,7 +45,7 @@
 with imports_utils.OptionalImports(
     messages=optional_utils.REQUIREMENT_PROVIDER_LANGCHAIN
 ):
-    from trulens.providers.langchain.provider import Langchain
+    from trulens.providers.langchain.provider import LangChain
 
 with imports_utils.OptionalImports(
     messages=optional_utils.REQUIREMENT_PROVIDER_CORTEX
@@ -62,7 +62,7 @@
     "HuggingfaceLocal",
     "LiteLLM",
     "Bedrock",
-    "Langchain",
+    "LangChain",
     "Cortex",
 ]
 

src/trulens_eval/trulens_eval/feedback/provider/__init__.py

@@ -44,7 +44,7 @@
 with imports_utils.OptionalImports(
     messages=optional_utils.REQUIREMENT_PROVIDER_LANGCHAIN
 ):
-    from trulens.providers.langchain.provider import Langchain
+    from trulens.providers.langchain.provider import LangChain
 
 __all__ = [
     "Provider",
@@ -54,7 +54,7 @@
     "HuggingfaceLocal",
     "LiteLLM",
     "Bedrock",
-    "Langchain",
+    "LangChain",
     "Cortex",
 ]
 

src/trulens_eval/trulens_eval/feedback/provider/langchain.py

@@ -9,4 +9,4 @@
 
 deprecation_utils.packages_dep_warn()
 
-from trulens.providers.langchain.provider import Langchain
+from trulens.providers.langchain.provider import LangChain