community[major], core[patch], langchain[patch], experimental[patch]: Create langchain-community (#14463)

Moved the following modules to new package langchain-community in a backwards compatible fashion: ``` mv langchain/langchain/adapters community/langchain_community mv langchain/langchain/callbacks community/langchain_community/callbacks mv langchain/langchain/chat_loaders community/langchain_community mv langchain/langchain/chat_models community/langchain_community mv langchain/langchain/document_loaders community/langchain_community mv langchain/langchain/docstore community/langchain_community mv langchain/langchain/document_transformers community/langchain_community mv langchain/langchain/embeddings community/langchain_community mv langchain/langchain/graphs community/langchain_community mv langchain/langchain/llms community/langchain_community mv langchain/langchain/memory/chat_message_histories community/langchain_community mv langchain/langchain/retrievers community/langchain_community mv langchain/langchain/storage community/langchain_community mv langchain/langchain/tools community/langchain_community mv langchain/langchain/utilities community/langchain_community mv langchain/langchain/vectorstores community/langchain_community mv langchain/langchain/agents/agent_toolkits community/langchain_community mv langchain/langchain/cache.py community/langchain_community mv langchain/langchain/adapters community/langchain_community mv langchain/langchain/callbacks community/langchain_community/callbacks mv langchain/langchain/chat_loaders community/langchain_community mv langchain/langchain/chat_models community/langchain_community mv langchain/langchain/document_loaders community/langchain_community mv langchain/langchain/docstore community/langchain_community mv langchain/langchain/document_transformers community/langchain_community mv langchain/langchain/embeddings community/langchain_community mv langchain/langchain/graphs community/langchain_community mv langchain/langchain/llms community/langchain_community mv langchain/langchain/memory/chat_message_histories community/langchain_community mv langchain/langchain/retrievers community/langchain_community mv langchain/langchain/storage community/langchain_community mv langchain/langchain/tools community/langchain_community mv langchain/langchain/utilities community/langchain_community mv langchain/langchain/vectorstores community/langchain_community mv langchain/langchain/agents/agent_toolkits community/langchain_community mv langchain/langchain/cache.py community/langchain_community ``` Moved the following to core ``` mv langchain/langchain/utils/json_schema.py core/langchain_core/utils mv langchain/langchain/utils/html.py core/langchain_core/utils mv langchain/langchain/utils/strings.py core/langchain_core/utils cat langchain/langchain/utils/env.py >> core/langchain_core/utils/env.py rm langchain/langchain/utils/env.py ``` See .scripts/community_split/script_integrations.sh for all changes
2025-09-09 06:53:59 +00:00 · 2023-12-11 13:53:30 -08:00
parent c0f4b95aa9
commit ed58eeb9c5
2446 changed files with 171805 additions and 137118 deletions
--- a/libs/community/langchain_community/utilities/wolfram_alpha.py
+++ b/libs/community/langchain_community/utilities/wolfram_alpha.py
@@ -0,0 +1,63 @@
+"""Util that calls WolframAlpha."""
+from typing import Any, Dict, Optional
+
+from langchain_core.pydantic_v1 import BaseModel, Extra, root_validator
+from langchain_core.utils import get_from_dict_or_env
+
+
+class WolframAlphaAPIWrapper(BaseModel):
+    """Wrapper for Wolfram Alpha.
+
+    Docs for using:
+
+    1. Go to wolfram alpha and sign up for a developer account
+    2. Create an app and get your APP ID
+    3. Save your APP ID into WOLFRAM_ALPHA_APPID env variable
+    4. pip install wolframalpha
+
+    """
+
+    wolfram_client: Any  #: :meta private:
+    wolfram_alpha_appid: Optional[str] = None
+
+    class Config:
+        """Configuration for this pydantic object."""
+
+        extra = Extra.forbid
+
+    @root_validator()
+    def validate_environment(cls, values: Dict) -> Dict:
+        """Validate that api key and python package exists in environment."""
+        wolfram_alpha_appid = get_from_dict_or_env(
+            values, "wolfram_alpha_appid", "WOLFRAM_ALPHA_APPID"
+        )
+        values["wolfram_alpha_appid"] = wolfram_alpha_appid
+
+        try:
+            import wolframalpha
+
+        except ImportError:
+            raise ImportError(
+                "wolframalpha is not installed. "
+                "Please install it with `pip install wolframalpha`"
+            )
+        client = wolframalpha.Client(wolfram_alpha_appid)
+        values["wolfram_client"] = client
+
+        return values
+
+    def run(self, query: str) -> str:
+        """Run query through WolframAlpha and parse result."""
+        res = self.wolfram_client.query(query)
+
+        try:
+            assumption = next(res.pods).text
+            answer = next(res.results).text
+        except StopIteration:
+            return "Wolfram Alpha wasn't able to answer it"
+
+        if answer is None or answer == "":
+            # We don't want to return the assumption alone if answer is empty
+            return "No good Wolfram Alpha Result was found"
+        else:
+            return f"Assumption: {assumption} \nAnswer: {answer}"