docs: update import paths for callbacks to use langchain_community callbacks where applicable (#18691)

Refactored imports from `langchain` to `langchain_community` whenever it
is applicable

docs/docs/integrations/callbacks/argilla.ipynb

@@ -177,7 +177,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from langchain.callbacks import ArgillaCallbackHandler\n",
+    "from langchain_community.callbacks.argilla_callback import ArgillaCallbackHandler\n",
     "\n",
     "argilla_callback = ArgillaCallbackHandler(\n",
     "    dataset_name=\"langchain-dataset\",\n",
@@ -213,7 +213,7 @@
     }
    ],
    "source": [
-    "from langchain.callbacks import ArgillaCallbackHandler, StdOutCallbackHandler\n",
+    "from langchain_core.callbacks.stdout import StdOutCallbackHandler\n",
     "from langchain_openai import OpenAI\n",
     "\n",
     "argilla_callback = ArgillaCallbackHandler(\n",
@@ -277,9 +277,9 @@
     }
    ],
    "source": [
-    "from langchain.callbacks import ArgillaCallbackHandler, StdOutCallbackHandler\n",
     "from langchain.chains import LLMChain\n",
     "from langchain.prompts import PromptTemplate\n",
+    "from langchain_core.callbacks.stdout import StdOutCallbackHandler\n",
     "from langchain_openai import OpenAI\n",
     "\n",
     "argilla_callback = ArgillaCallbackHandler(\n",
@@ -361,7 +361,7 @@
    ],
    "source": [
     "from langchain.agents import AgentType, initialize_agent, load_tools\n",
-    "from langchain.callbacks import ArgillaCallbackHandler, StdOutCallbackHandler\n",
+    "from langchain_core.callbacks.stdout import StdOutCallbackHandler\n",
     "from langchain_openai import OpenAI\n",
     "\n",
     "argilla_callback = ArgillaCallbackHandler(\n",

docs/docs/integrations/callbacks/comet_tracing.ipynb

@@ -97,7 +97,7 @@
     "if \"LANGCHAIN_COMET_TRACING\" in os.environ:\n",
     "    del os.environ[\"LANGCHAIN_COMET_TRACING\"]\n",
     "\n",
-    "from langchain.callbacks.tracers.comet import CometTracer\n",
+    "from langchain_community.callbacks.tracers.comet import CometTracer\n",
     "\n",
     "tracer = CometTracer()\n",
     "\n",
@@ -130,7 +130,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.1"
+   "version": "3.10.12"
   }
  },
  "nbformat": 4,

docs/docs/integrations/callbacks/confident.ipynb

@@ -118,7 +118,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from langchain.callbacks.confident_callback import DeepEvalCallbackHandler\n",
+    "from langchain_community.callbacks.confident_callback import DeepEvalCallbackHandler\n",
     "\n",
     "deepeval_callback = DeepEvalCallbackHandler(\n",
     "    implementation_name=\"langchainQuickstart\", metrics=[answer_relevancy_metric]\n",
@@ -296,7 +296,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.3"
+   "version": "3.10.12"
   },
   "vscode": {
    "interpreter": {

docs/docs/integrations/callbacks/context.ipynb

@@ -65,6 +65,23 @@
     "Ensure you have installed the `context-python` package before using the handler."
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2024-03-06T19:05:26.534124Z",
+     "iopub.status.busy": "2024-03-06T19:05:26.533924Z",
+     "iopub.status.idle": "2024-03-06T19:05:26.798727Z",
+     "shell.execute_reply": "2024-03-06T19:05:26.798135Z",
+     "shell.execute_reply.started": "2024-03-06T19:05:26.534109Z"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "from langchain_community.callbacks.context_callback import ContextCallbackHandler"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": 3,
@@ -73,8 +90,6 @@
    "source": [
     "import os\n",
     "\n",
-    "from langchain.callbacks import ContextCallbackHandler\n",
-    "\n",
     "token = os.environ[\"CONTEXT_API_TOKEN\"]\n",
     "\n",
     "context_callback = ContextCallbackHandler(token)"
@@ -99,7 +114,6 @@
    "source": [
     "import os\n",
     "\n",
-    "from langchain.callbacks import ContextCallbackHandler\n",
     "from langchain.schema import (\n",
     "    HumanMessage,\n",
     "    SystemMessage,\n",
@@ -155,7 +169,6 @@
    "source": [
     "import os\n",
     "\n",
-    "from langchain.callbacks import ContextCallbackHandler\n",
     "from langchain.chains import LLMChain\n",
     "from langchain.prompts import PromptTemplate\n",
     "from langchain.prompts.chat import (\n",

docs/docs/integrations/callbacks/infino.ipynb

@@ -39,6 +39,16 @@
     "%pip install --upgrade --quiet  tiktoken"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "3c9d9424-0879-4f14-91e5-1292e22820d7",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from langchain_community.callbacks.infino_callback import InfinoCallbackHandler"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": 2,
@@ -53,7 +63,6 @@
     "import matplotlib.dates as md\n",
     "import matplotlib.pyplot as plt\n",
     "from infinopy import InfinoClient\n",
-    "from langchain.callbacks import InfinoCallbackHandler\n",
     "from langchain_openai import OpenAI"
    ]
   },

docs/docs/integrations/callbacks/labelstudio.ipynb

@@ -160,6 +160,25 @@
     "You can collect input LLM prompts and output responses in a LabelStudio project, connecting it via `LabelStudioCallbackHandler`:"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2024-03-06T19:07:34.462103Z",
+     "iopub.status.busy": "2024-03-06T19:07:34.461651Z",
+     "iopub.status.idle": "2024-03-06T19:07:34.661936Z",
+     "shell.execute_reply": "2024-03-06T19:07:34.661284Z",
+     "shell.execute_reply.started": "2024-03-06T19:07:34.462067Z"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "from langchain_community.callbacks.labelstudio_callback import (\n",
+    "    LabelStudioCallbackHandler,\n",
+    ")"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
@@ -170,7 +189,6 @@
    },
    "outputs": [],
    "source": [
-    "from langchain.callbacks import LabelStudioCallbackHandler\n",
     "from langchain_openai import OpenAI\n",
     "\n",
     "llm = OpenAI(\n",
@@ -241,7 +259,6 @@
    },
    "outputs": [],
    "source": [
-    "from langchain.callbacks import LabelStudioCallbackHandler\n",
     "from langchain_core.messages import HumanMessage, SystemMessage\n",
     "from langchain_openai import ChatOpenAI\n",
     "\n",

docs/docs/integrations/callbacks/llmonitor.md

@@ -19,7 +19,7 @@ export LLMONITOR_APP_ID="..."
 If you'd prefer not to set an environment variable, you can pass the key directly when initializing the callback handler:
 
 ```python
-from langchain.callbacks import LLMonitorCallbackHandler
+from langchain_community.callbacks.llmonitor_callback import LLMonitorCallbackHandler
 
 handler = LLMonitorCallbackHandler(app_id="...")
 ```
@@ -29,7 +29,6 @@ handler = LLMonitorCallbackHandler(app_id="...")
 ```python
 from langchain_openai import OpenAI
 from langchain_openai import ChatOpenAI
-from langchain.callbacks import LLMonitorCallbackHandler
 
 handler = LLMonitorCallbackHandler()
 
@@ -53,9 +52,9 @@ Example:
 
 ```python
 from langchain_openai import ChatOpenAI
+from langchain_community.callbacks.llmonitor_callback import LLMonitorCallbackHandler
 from langchain_core.messages import SystemMessage, HumanMessage
 from langchain.agents import OpenAIFunctionsAgent, AgentExecutor, tool
-from langchain.callbacks import LLMonitorCallbackHandler
 
 llm = ChatOpenAI(temperature=0)
 
@@ -86,7 +85,8 @@ Another example:
 ```python
 from langchain.agents import load_tools, initialize_agent, AgentType
 from langchain_openai import OpenAI
-from langchain.callbacks import LLMonitorCallbackHandler
+from langchain_community.callbacks.llmonitor_callback import LLMonitorCallbackHandler
+
 
 handler = LLMonitorCallbackHandler()
 
@@ -104,7 +104,7 @@ agent.run(
 User tracking allows you to identify your users, track their cost, conversations and more.
 
 ```python
-from langchain.callbacks.llmonitor_callback import LLMonitorCallbackHandler, identify
+from langchain_community.callbacks.llmonitor_callback import LLMonitorCallbackHandler, identify
 
 with identify("user-123"):
     llm("Tell me a joke")

docs/docs/integrations/callbacks/promptlayer.ipynb

@@ -68,14 +68,32 @@
     "In this simple example we use `PromptLayerCallbackHandler` with `ChatOpenAI`. We add a PromptLayer tag named `chatopenai`"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2024-03-06T19:10:56.673622Z",
+     "iopub.status.busy": "2024-03-06T19:10:56.673421Z",
+     "iopub.status.idle": "2024-03-06T19:10:56.887519Z",
+     "shell.execute_reply": "2024-03-06T19:10:56.886895Z",
+     "shell.execute_reply.started": "2024-03-06T19:10:56.673608Z"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "import promptlayer  # Don't forget this 🍰\n",
+    "from langchain_community.callbacks.promptlayer_callback import (\n",
+    "    PromptLayerCallbackHandler,\n",
+    ")"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
-    "import promptlayer  # Don't forget this 🍰\n",
-    "from langchain.callbacks import PromptLayerCallbackHandler\n",
     "from langchain.schema import (\n",
     "    HumanMessage,\n",
     ")\n",
@@ -108,8 +126,6 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "import promptlayer  # Don't forget this 🍰\n",
-    "from langchain.callbacks import PromptLayerCallbackHandler\n",
     "from langchain_community.llms import GPT4All\n",
     "\n",
     "model = GPT4All(model=\"./models/gpt4all-model.bin\", n_ctx=512, n_threads=8)\n",
@@ -140,8 +156,6 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "import promptlayer  # Don't forget this 🍰\n",
-    "from langchain.callbacks import PromptLayerCallbackHandler\n",
     "from langchain_openai import OpenAI\n",
     "\n",
     "\n",

docs/docs/integrations/callbacks/sagemaker_tracking.ipynb

@@ -70,6 +70,16 @@
     "os.environ[\"SERPAPI_API_KEY\"] = \"<ADD-KEY-HERE>\""
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "e79dc1c0-b9dc-4652-9059-f3a8aa97b74a",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from langchain_community.callbacks.sagemaker_callback import SageMakerCallbackHandler"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
@@ -80,7 +90,6 @@
    "outputs": [],
    "source": [
     "from langchain.agents import initialize_agent, load_tools\n",
-    "from langchain.callbacks import SageMakerCallbackHandler\n",
     "from langchain.chains import LLMChain, SimpleSequentialChain\n",
     "from langchain.prompts import PromptTemplate\n",
     "from langchain_openai import OpenAI\n",

docs/docs/integrations/callbacks/streamlit.md

@@ -28,7 +28,9 @@ You can run `streamlit hello` to load a sample app and validate your install suc
 To create a `StreamlitCallbackHandler`, you just need to provide a parent container to render the output.
 
 ```python
-from langchain_community.callbacks import StreamlitCallbackHandler
+from langchain_community.callbacks.streamlit import (
+    StreamlitCallbackHandler,
+)
 import streamlit as st
 
 st_callback = StreamlitCallbackHandler(st.container())
@@ -47,7 +49,6 @@ thoughts and actions live in your app.
 import streamlit as st
 from langchain import hub
 from langchain.agents import AgentExecutor, create_react_agent, load_tools
-from langchain_community.callbacks import StreamlitCallbackHandler
 from langchain_openai import OpenAI
 
 llm = OpenAI(temperature=0, streaming=True)

docs/docs/integrations/callbacks/trubrics.ipynb

@@ -65,6 +65,16 @@
     "os.environ[\"TRUBRICS_PASSWORD\"] = \"***\""
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "36fa67da-8a05-4d54-b0a3-dc173f3107a0",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from langchain_community.callbacks.trubrics_callback import TrubricsCallbackHandler"
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "cd7177b0-a9e8-45ae-adb0-ea779376511b",
@@ -148,7 +158,6 @@
    },
    "outputs": [],
    "source": [
-    "from langchain.callbacks import TrubricsCallbackHandler\n",
     "from langchain_openai import OpenAI"
    ]
   },
@@ -266,7 +275,6 @@
    },
    "outputs": [],
    "source": [
-    "from langchain.callbacks import TrubricsCallbackHandler\n",
     "from langchain_core.messages import HumanMessage, SystemMessage\n",
     "from langchain_openai import ChatOpenAI"
    ]