Add Connery Actions to the list of available tools

.env.example

@@ -8,3 +8,5 @@ AZURE_OPENAI_API_BASE=placeholder
 AZURE_OPENAI_API_VERSION=placeholder
 ROBOCORP_ACTION_SERVER_URL=https://dummy-action-server.robocorp.link
 ROBOCORP_ACTION_SERVER_KEY=dummy-api-key
+CONNERY_RUNNER_URL=https://your-personal-connery-runner-url
+CONNERY_RUNNER_API_KEY=placeholder

.env.gcp.yaml.example

@@ -15,3 +15,5 @@ AZURE_OPENAI_API_KEY: your_secret_here
 KAY_API_KEY: your_secret_here
 ROBOCORP_ACTION_SERVER_URL: https://dummy-action-server.robocorp.link
 ROBOCORP_ACTION_SERVER_KEY: dummy-api-key
+CONNERY_RUNNER_URL: https://your-personal-connery-runner-url
+CONNERY_RUNNER_API_KEY: your_secret_here

README.md

@@ -292,6 +292,17 @@ ROBOCORP_ACTION_SERVER_URL=https://dummy-action-server.robocorp.link
 ROBOCORP_ACTION_SERVER_KEY=dummy-api-key
 ```
 
+**_Connery Actions_**
+
+Connect OpenGPTs to the real world with [Connery](https://github.com/connery-io/connery).
+
+Requires setting an environment variable, which you get during the [Connery Runner setup](https://docs.connery.io/docs/runner/quick-start/):
+
+```shell
+CONNERY_RUNNER_URL=https://your-personal-connery-runner-url
+CONNERY_RUNNER_API_KEY=...
+```
+
 **DuckDuckGo Search**
 
 Search the web with [DuckDuckGo](https://pypi.org/project/duckduckgo-search/). Does not require any API keys.

backend/app/tools.py

@@ -11,6 +11,8 @@
 )
 from langchain_community.retrievers.you import YouRetriever
 from langchain_community.tools import ArxivQueryRun, DuckDuckGoSearchRun
+from langchain_community.agent_toolkits.connery import ConneryToolkit
+from langchain_community.tools.connery import ConneryService
 from langchain_community.tools.tavily_search import TavilyAnswer, TavilySearchResults
 from langchain_community.utilities.arxiv import ArxivAPIWrapper
 from langchain_community.utilities.tavily_search import TavilySearchAPIWrapper
@@ -128,9 +130,21 @@ def _get_action_server():
     tools = toolkit.get_tools()
     return tools
 
+@lru_cache(maxsize=1)
+def _get_connery_actions():
+    connery_service = ConneryService(
+        runner_url=os.environ.get("CONNERY_RUNNER_URL"),
+        api_key=os.environ.get("CONNERY_RUNNER_API_KEY"),
+    )
+    connery_toolkit = ConneryToolkit.create_instance(connery_service)
+    tools = connery_toolkit.get_tools()
+    return tools
+
+
 
 class AvailableTools(str, Enum):
     ACTION_SERVER = "Action Server by Robocorp"
+    CONNERY = "\"AI Action Runner\" by Connery"
     DDG_SEARCH = "DDG Search"
     TAVILY = "Search (Tavily)"
     TAVILY_ANSWER = "Search (short answer, Tavily)"
@@ -145,6 +159,7 @@ class AvailableTools(str, Enum):
 
 TOOLS = {
     AvailableTools.ACTION_SERVER: _get_action_server,
+    AvailableTools.CONNERY: _get_connery_actions,
     AvailableTools.DDG_SEARCH: _get_duck_duck_go,
     AvailableTools.ARXIV: _get_arxiv,
     AvailableTools.YOU_SEARCH: _get_you_search,

frontend/src/components/Config.tsx

@@ -142,6 +142,8 @@ const TOOL_DESCRIPTIONS = {
   Retrieval: "Look up information in uploaded files.",
   "Action Server by Robocorp":
     "Run AI actions with [Robocorp Action Server](https://github.com/robocorp/robocorp).",
+  "\"AI Action Runner\" by Connery":
+    "Connect OpenGPTs to the real world with [Connery](https://github.com/connery-io/connery).",
   "DDG Search":
     "Search the web with [DuckDuckGo](https://pypi.org/project/duckduckgo-search/).",
   "Search (Tavily)":