community: fix ChatEdenAI + EdenAI Tools (#23715)

Fixes for Eden AI Custom tools and ChatEdenAI:
- add missing import in __init__ of chat_models
- add `args_schema` to custom tools. otherwise '__arg1' would sometimes
be passed to the `run` method
- fix IndexError when no human msg is added in ChatEdenAI

libs/community/langchain_community/chat_models/__init__.py

@@ -51,6 +51,7 @@ if TYPE_CHECKING:
     from langchain_community.chat_models.deepinfra import (
         ChatDeepInfra,
     )
+    from langchain_community.chat_models.edenai import ChatEdenAI
     from langchain_community.chat_models.ernie import (
         ErnieBotChat,
     )
@@ -182,6 +183,7 @@ __all__ = [
     "ChatOctoAI",
     "ChatDatabricks",
     "ChatDeepInfra",
+    "ChatEdenAI",
     "ChatEverlyAI",
     "ChatFireworks",
     "ChatFriendli",
@@ -237,6 +239,7 @@ _module_lookup = {
     "ChatDatabricks": "langchain_community.chat_models.databricks",
     "ChatDeepInfra": "langchain_community.chat_models.deepinfra",
     "ChatEverlyAI": "langchain_community.chat_models.everlyai",
+    "ChatEdenAI": "langchain_community.chat_models.edenai",
     "ChatFireworks": "langchain_community.chat_models.fireworks",
     "ChatFriendli": "langchain_community.chat_models.friendli",
     "ChatGooglePalm": "langchain_community.chat_models.google_palm",

libs/community/langchain_community/chat_models/edenai.py

@@ -122,8 +122,8 @@ def _format_edenai_messages(messages: List[BaseMessage]) -> Dict[str, Any]:
     system = None
     formatted_messages = []
 
-    human_messages = filter(lambda msg: isinstance(msg, HumanMessage), messages)
+    human_messages = list(filter(lambda msg: isinstance(msg, HumanMessage), messages))
-    last_human_message = list(human_messages)[-1] if human_messages else ""
+    last_human_message = human_messages[-1] if human_messages else ""
 
     tool_results, other_messages = _extract_edenai_tool_results_from_messages(messages)
     for i, message in enumerate(other_messages):

libs/community/langchain_community/tools/edenai/audio_speech_to_text.py

@@ -3,17 +3,21 @@ from __future__ import annotations
 import json
 import logging
 import time
-from typing import List, Optional
+from typing import List, Optional, Type
 
 import requests
 from langchain_core.callbacks import CallbackManagerForToolRun
-from langchain_core.pydantic_v1 import validator
+from langchain_core.pydantic_v1 import BaseModel, Field, HttpUrl, validator
 
 from langchain_community.tools.edenai.edenai_base_tool import EdenaiTool
 
 logger = logging.getLogger(__name__)
 
 
+class SpeechToTextInput(BaseModel):
+    query: HttpUrl = Field(description="url of the audio to analyze")
+
+
 class EdenAiSpeechToTextTool(EdenaiTool):
     """Tool that queries the Eden AI Speech To Text API.
 
@@ -23,7 +27,6 @@ class EdenAiSpeechToTextTool(EdenaiTool):
     To use, you should have
     the environment variable ``EDENAI_API_KEY`` set with your API token.
     You can find your token here: https://app.edenai.run/admin/account/settings
-
     """
 
     edenai_api_key: Optional[str] = None
@@ -34,6 +37,7 @@ class EdenAiSpeechToTextTool(EdenaiTool):
         "Useful for when you have to convert audio to text."
         "Input should be a url to an audio file."
     )
+    args_schema: Type[BaseModel] = SpeechToTextInput
     is_async: bool = True
 
     language: Optional[str] = "en"

libs/community/langchain_community/tools/edenai/audio_text_to_speech.py

@@ -1,17 +1,21 @@
 from __future__ import annotations
 
 import logging
-from typing import Dict, List, Literal, Optional
+from typing import Dict, List, Literal, Optional, Type
 
 import requests
 from langchain_core.callbacks import CallbackManagerForToolRun
-from langchain_core.pydantic_v1 import Field, root_validator, validator
+from langchain_core.pydantic_v1 import BaseModel, Field, root_validator, validator
 
 from langchain_community.tools.edenai.edenai_base_tool import EdenaiTool
 
 logger = logging.getLogger(__name__)
 
 
+class TextToSpeechInput(BaseModel):
+    query: str = Field(description="text to generate audio from")
+
+
 class EdenAiTextToSpeechTool(EdenaiTool):
     """Tool that queries the Eden AI Text to speech API.
     for api reference check edenai documentation:
@@ -30,6 +34,7 @@ class EdenAiTextToSpeechTool(EdenaiTool):
         """the output is a string representing the URL of the audio file,
         or the path to the downloaded wav file """
     )
+    args_schema: Type[BaseModel] = TextToSpeechInput
 
     language: Optional[str] = "en"
     """

libs/community/langchain_community/tools/edenai/image_explicitcontent.py

@@ -1,15 +1,20 @@
 from __future__ import annotations
 
 import logging
-from typing import Optional
+from typing import Optional, Type
 
 from langchain_core.callbacks import CallbackManagerForToolRun
+from langchain_core.pydantic_v1 import BaseModel, Field, HttpUrl
 
 from langchain_community.tools.edenai.edenai_base_tool import EdenaiTool
 
 logger = logging.getLogger(__name__)
 
 
+class ExplicitImageInput(BaseModel):
+    query: HttpUrl = Field(description="url of the image to analyze")
+
+
 class EdenAiExplicitImageTool(EdenaiTool):
     """Tool that queries the Eden AI Explicit image detection.
 
@@ -33,6 +38,7 @@ class EdenAiExplicitImageTool(EdenaiTool):
         pornography, violence, gore content, etc."""
         "Input should be the string url of the image ."
     )
+    args_schema: Type[BaseModel] = ExplicitImageInput
 
     combine_available: bool = True
     feature: str = "image"

libs/community/langchain_community/tools/edenai/image_objectdetection.py

@@ -1,15 +1,20 @@
 from __future__ import annotations
 
 import logging
-from typing import Optional
+from typing import Optional, Type
 
 from langchain_core.callbacks import CallbackManagerForToolRun
+from langchain_core.pydantic_v1 import BaseModel, Field, HttpUrl
 
 from langchain_community.tools.edenai.edenai_base_tool import EdenaiTool
 
 logger = logging.getLogger(__name__)
 
 
+class ObjectDetectionInput(BaseModel):
+    query: HttpUrl = Field(description="url of the image to analyze")
+
+
 class EdenAiObjectDetectionTool(EdenaiTool):
     """Tool that queries the Eden AI Object detection API.
 
@@ -30,6 +35,7 @@ class EdenAiObjectDetectionTool(EdenaiTool):
         (with bounding boxes) objects in an image """
         "Input should be the string url of the image to identify."
     )
+    args_schema: Type[BaseModel] = ObjectDetectionInput
 
     show_positions: bool = False
 

libs/community/langchain_community/tools/edenai/ocr_identityparser.py

@@ -1,15 +1,20 @@
 from __future__ import annotations
 
 import logging
-from typing import Optional
+from typing import Optional, Type
 
 from langchain_core.callbacks import CallbackManagerForToolRun
+from langchain_core.pydantic_v1 import BaseModel, Field, HttpUrl
 
 from langchain_community.tools.edenai.edenai_base_tool import EdenaiTool
 
 logger = logging.getLogger(__name__)
 
 
+class IDParsingInput(BaseModel):
+    query: HttpUrl = Field(description="url of the document to parse")
+
+
 class EdenAiParsingIDTool(EdenaiTool):
     """Tool that queries the Eden AI  Identity parsing API.
 
@@ -29,6 +34,7 @@ class EdenAiParsingIDTool(EdenaiTool):
         "Useful for when you have to extract information from an ID Document "
         "Input should be the string url of the document to parse."
     )
+    args_schema: Type[BaseModel] = IDParsingInput
 
     feature: str = "ocr"
     subfeature: str = "identity_parser"

libs/community/langchain_community/tools/edenai/ocr_invoiceparser.py

@@ -1,15 +1,20 @@
 from __future__ import annotations
 
 import logging
-from typing import Optional
+from typing import Optional, Type
 
 from langchain_core.callbacks import CallbackManagerForToolRun
+from langchain_core.pydantic_v1 import BaseModel, Field, HttpUrl
 
 from langchain_community.tools.edenai.edenai_base_tool import EdenaiTool
 
 logger = logging.getLogger(__name__)
 
 
+class InvoiceParsingInput(BaseModel):
+    query: HttpUrl = Field(description="url of the document to parse")
+
+
 class EdenAiParsingInvoiceTool(EdenaiTool):
     """Tool that queries the Eden AI Invoice parsing API.
 
@@ -23,7 +28,6 @@ class EdenAiParsingInvoiceTool(EdenaiTool):
     """
 
     name: str = "edenai_invoice_parsing"
-
     description: str = (
         "A wrapper around edenai Services invoice parsing. "
         """Useful for when you have to extract information from 
@@ -33,6 +37,7 @@ class EdenAiParsingInvoiceTool(EdenaiTool):
         in a structured format to automate the invoice processing """
         "Input should be the string url of the document to parse."
     )
+    args_schema: Type[BaseModel] = InvoiceParsingInput
 
     language: Optional[str] = None
     """

libs/community/langchain_community/tools/edenai/text_moderation.py

@@ -1,15 +1,20 @@
 from __future__ import annotations
 
 import logging
-from typing import Optional
+from typing import Optional, Type
 
 from langchain_core.callbacks import CallbackManagerForToolRun
+from langchain_core.pydantic_v1 import BaseModel, Field
 
 from langchain_community.tools.edenai.edenai_base_tool import EdenaiTool
 
 logger = logging.getLogger(__name__)
 
 
+class TextModerationInput(BaseModel):
+    query: str = Field(description="Text to moderate")
+
+
 class EdenAiTextModerationTool(EdenaiTool):
     """Tool that queries the Eden AI Explicit text detection.
 
@@ -23,7 +28,6 @@ class EdenAiTextModerationTool(EdenaiTool):
     """
 
     name: str = "edenai_explicit_content_detection_text"
-
     description: str = (
         "A wrapper around edenai Services explicit content detection for text. "
         """Useful for when you have to scan text for offensive, 
@@ -44,6 +48,7 @@ class EdenAiTextModerationTool(EdenaiTool):
         """
         "Input should be a string."
     )
+    args_schema: Type[BaseModel] = TextModerationInput
 
     language: str
 

libs/community/tests/unit_tests/chat_models/test_imports.py

@@ -11,6 +11,7 @@ EXPECTED_ALL = [
     "ChatDatabricks",
     "ChatDeepInfra",
     "ChatEverlyAI",
+    "ChatEdenAI",
     "ChatFireworks",
     "ChatFriendli",
     "ChatGooglePalm",