Add Connery Tool and Toolkit

docs/api_refs/typedoc.json

@@ -24,6 +24,7 @@
     "./langchain/src/agents/load.ts",
     "./langchain/src/agents/toolkits/index.ts",
     "./langchain/src/agents/toolkits/aws_sfn.ts",
+    "./langchain/src/agents/toolkits/connery/index.ts",
     "./langchain/src/agents/toolkits/sql/index.ts",
     "./langchain/src/agents/format_scratchpad/openai_functions.ts",
     "./langchain/src/agents/format_scratchpad/openai_tools.ts",
@@ -38,6 +39,7 @@
     "./langchain/src/tools/aws_lambda.ts",
     "./langchain/src/tools/aws_sfn.ts",
     "./langchain/src/tools/calculator.ts",
+    "./langchain/src/tools/connery.ts",
     "./langchain/src/tools/render.ts",
     "./langchain/src/tools/sql.ts",
     "./langchain/src/tools/webbrowser.ts",

docs/core_docs/docs/integrations/toolkits/connery.mdx

@@ -0,0 +1,25 @@
+import CodeBlock from "@theme/CodeBlock";
+import Example from "@examples/agents/connery_mrkl.ts";
+
+# Connery Actions Toolkit
+
+Using this toolkit, you can integrate Connery actions into your LangChain agents and chains.
+
+## What is Connery?
+
+Connery is an open-source plugin infrastructure for AI.
+
+With Connery, you can easily create a custom plugin, which is essentially a set of actions, and use them in your LangChain agents and chains.
+Connery will handle the rest: runtime, authorization, secret management, access management, audit logs, and other vital features.
+Also, you can find a lot of ready-to-use plugins from our community.
+
+Learn more about Connery:
+
+- GitHub repository: https://github.com/connery-io/connery-platform
+- Documentation: https://docs.connery.io
+
+## Usage
+
+This example shows how to create an agent with Connery actions using the Connery Actions Toolkit.
+
+<CodeBlock language="typescript">{Example}</CodeBlock>

docs/core_docs/docs/integrations/tools/connery.mdx

@@ -0,0 +1,25 @@
+import CodeBlock from "@theme/CodeBlock";
+import Example from "@examples/tools/connery.ts";
+
+# Connery Actions Tool
+
+Using this tool, you can integrate individual Connery actions into your LangChain agents and chains.
+
+## What is Connery?
+
+Connery is an open-source plugin infrastructure for AI.
+
+With Connery, you can easily create a custom plugin, which is essentially a set of actions, and use them in your LangChain agents and chains.
+Connery will handle the rest: runtime, authorization, secret management, access management, audit logs, and other vital features.
+Also, you can find a lot of ready-to-use plugins from our community.
+
+Learn more about Connery:
+
+- GitHub repository: https://github.com/connery-io/connery-platform
+- Documentation: https://docs.connery.io
+
+## Usage
+
+This example shows how to create a tool for one specific Connery action and call it.
+
+<CodeBlock language="typescript">{Example}</CodeBlock>

environment_tests/test-exports-bun/src/entrypoints.js

@@ -2,6 +2,7 @@ export * from "langchain/load";
 export * from "langchain/load/serializable";
 export * from "langchain/agents";
 export * from "langchain/agents/toolkits";
+export * from "langchain/agents/toolkits/connery";
 export * from "langchain/agents/format_scratchpad";
 export * from "langchain/agents/format_scratchpad/openai_tools";
 export * from "langchain/agents/format_scratchpad/log";
@@ -12,6 +13,7 @@ export * from "langchain/agents/xml/output_parser";
 export * from "langchain/agents/openai/output_parser";
 export * from "langchain/base_language";
 export * from "langchain/tools";
+export * from "langchain/tools/connery";
 export * from "langchain/tools/render";
 export * from "langchain/tools/google_places";
 export * from "langchain/chains";

environment_tests/test-exports-cf/src/entrypoints.js

@@ -2,6 +2,7 @@ export * from "langchain/load";
 export * from "langchain/load/serializable";
 export * from "langchain/agents";
 export * from "langchain/agents/toolkits";
+export * from "langchain/agents/toolkits/connery";
 export * from "langchain/agents/format_scratchpad";
 export * from "langchain/agents/format_scratchpad/openai_tools";
 export * from "langchain/agents/format_scratchpad/log";
@@ -12,6 +13,7 @@ export * from "langchain/agents/xml/output_parser";
 export * from "langchain/agents/openai/output_parser";
 export * from "langchain/base_language";
 export * from "langchain/tools";
+export * from "langchain/tools/connery";
 export * from "langchain/tools/render";
 export * from "langchain/tools/google_places";
 export * from "langchain/chains";

environment_tests/test-exports-cjs/src/entrypoints.js

@@ -2,6 +2,7 @@ const load = require("langchain/load");
 const load_serializable = require("langchain/load/serializable");
 const agents = require("langchain/agents");
 const agents_toolkits = require("langchain/agents/toolkits");
+const agents_toolkits_connery = require("langchain/agents/toolkits/connery");
 const agents_format_scratchpad = require("langchain/agents/format_scratchpad");
 const agents_format_scratchpad_openai_tools = require("langchain/agents/format_scratchpad/openai_tools");
 const agents_format_scratchpad_log = require("langchain/agents/format_scratchpad/log");
@@ -12,6 +13,7 @@ const agents_xml_output_parser = require("langchain/agents/xml/output_parser");
 const agents_openai_output_parser = require("langchain/agents/openai/output_parser");
 const base_language = require("langchain/base_language");
 const tools = require("langchain/tools");
+const tools_connery = require("langchain/tools/connery");
 const tools_render = require("langchain/tools/render");
 const tools_google_places = require("langchain/tools/google_places");
 const chains = require("langchain/chains");

environment_tests/test-exports-esbuild/src/entrypoints.js

@@ -2,6 +2,7 @@ import * as load from "langchain/load";
 import * as load_serializable from "langchain/load/serializable";
 import * as agents from "langchain/agents";
 import * as agents_toolkits from "langchain/agents/toolkits";
+import * as agents_toolkits_connery from "langchain/agents/toolkits/connery";
 import * as agents_format_scratchpad from "langchain/agents/format_scratchpad";
 import * as agents_format_scratchpad_openai_tools from "langchain/agents/format_scratchpad/openai_tools";
 import * as agents_format_scratchpad_log from "langchain/agents/format_scratchpad/log";
@@ -12,6 +13,7 @@ import * as agents_xml_output_parser from "langchain/agents/xml/output_parser";
 import * as agents_openai_output_parser from "langchain/agents/openai/output_parser";
 import * as base_language from "langchain/base_language";
 import * as tools from "langchain/tools";
+import * as tools_connery from "langchain/tools/connery";
 import * as tools_render from "langchain/tools/render";
 import * as tools_google_places from "langchain/tools/google_places";
 import * as chains from "langchain/chains";

environment_tests/test-exports-esm/src/entrypoints.js

@@ -2,6 +2,7 @@ import * as load from "langchain/load";
 import * as load_serializable from "langchain/load/serializable";
 import * as agents from "langchain/agents";
 import * as agents_toolkits from "langchain/agents/toolkits";
+import * as agents_toolkits_connery from "langchain/agents/toolkits/connery";
 import * as agents_format_scratchpad from "langchain/agents/format_scratchpad";
 import * as agents_format_scratchpad_openai_tools from "langchain/agents/format_scratchpad/openai_tools";
 import * as agents_format_scratchpad_log from "langchain/agents/format_scratchpad/log";
@@ -12,6 +13,7 @@ import * as agents_xml_output_parser from "langchain/agents/xml/output_parser";
 import * as agents_openai_output_parser from "langchain/agents/openai/output_parser";
 import * as base_language from "langchain/base_language";
 import * as tools from "langchain/tools";
+import * as tools_connery from "langchain/tools/connery";
 import * as tools_render from "langchain/tools/render";
 import * as tools_google_places from "langchain/tools/google_places";
 import * as chains from "langchain/chains";

environment_tests/test-exports-vercel/src/entrypoints.js

@@ -2,6 +2,7 @@ export * from "langchain/load";
 export * from "langchain/load/serializable";
 export * from "langchain/agents";
 export * from "langchain/agents/toolkits";
+export * from "langchain/agents/toolkits/connery";
 export * from "langchain/agents/format_scratchpad";
 export * from "langchain/agents/format_scratchpad/openai_tools";
 export * from "langchain/agents/format_scratchpad/log";
@@ -12,6 +13,7 @@ export * from "langchain/agents/xml/output_parser";
 export * from "langchain/agents/openai/output_parser";
 export * from "langchain/base_language";
 export * from "langchain/tools";
+export * from "langchain/tools/connery";
 export * from "langchain/tools/render";
 export * from "langchain/tools/google_places";
 export * from "langchain/chains";

environment_tests/test-exports-vite/src/entrypoints.js

@@ -2,6 +2,7 @@ export * from "langchain/load";
 export * from "langchain/load/serializable";
 export * from "langchain/agents";
 export * from "langchain/agents/toolkits";
+export * from "langchain/agents/toolkits/connery";
 export * from "langchain/agents/format_scratchpad";
 export * from "langchain/agents/format_scratchpad/openai_tools";
 export * from "langchain/agents/format_scratchpad/log";
@@ -12,6 +13,7 @@ export * from "langchain/agents/xml/output_parser";
 export * from "langchain/agents/openai/output_parser";
 export * from "langchain/base_language";
 export * from "langchain/tools";
+export * from "langchain/tools/connery";
 export * from "langchain/tools/render";
 export * from "langchain/tools/google_places";
 export * from "langchain/chains";

examples/.env.example

@@ -15,6 +15,8 @@ AZURE_OPENAI_API_COMPLETIONS_DEPLOYMENT_NAME=ADD_YOURS_HERE # Azure Portal -> Co
 AZURE_OPENAI_API_EMBEDDINGS_DEPLOYMENT_NAME=ADD_YOURS_HERE # Azure Portal -> Cognitive Services -> OpenAI -> Choose your instance -> Go to Azure OpenAI Studio -> Deployments
 AZURE_OPENAI_API_VERSION=ADD_YOURS_HERE # Azure Portal -> Cognitive Services -> OpenAI -> Choose your instance -> Go to Azure OpenAI Studio -> Completions/Chat -> Choose Deployment -> View Code
 AZURE_OPENAI_BASE_PATH=ADD_YOURS_HERE # Azure Portal -> Cognitive Services -> OpenAI -> Choose your instance -> Endpoint (optional)
+CONNERY_RUNNER_URL=ADD_YOURS_HERE
+CONNERY_RUNNER_API_KEY=ADD_YOURS_HERE
 ELASTIC_URL=ADD_YOURS_HERE # http://127.0.0.1:9200
 ELASTIC_USERNAME="elastic"
 ELASTIC_PASSWORD=ADD_YOURS_HERE # Password for the 'elastic' user (at least 6 characters)

examples/src/agents/connery_mrkl.ts

@@ -0,0 +1,58 @@
+import { OpenAI } from "langchain/llms/openai";
+import { initializeAgentExecutorWithOptions } from "langchain/agents";
+import { ConneryToolkit } from "langchain/agents/toolkits/connery";
+import { ConneryService } from "langchain/tools/connery";
+
+/**
+ * This example shows how to create an agent with Connery actions using the Connery Actions Toolkit.
+ *
+ * Connery is an open-source plugin infrastructure for AI.
+ * Source code: https://github.com/connery-io/connery-platform
+ *
+ * To run this example, you need to do some preparation:
+ * 1. Set up the Connery runner. See a quick start guide here: https://docs.connery.io/docs/platform/quick-start/
+ * 2. Intsall the "Summarization" plugin (https://github.com/connery-io/summarization-plugin) on the runner.
+ * 3. Install the "Gmail" plugin (https://github.com/connery-io/gmail) on the runner.
+ * 4. Set environment variables CONNERY_RUNNER_URL and CONNERY_RUNNER_API_KEY in the ./examples/.env file of this repository.
+ *
+ * If you want to use only one particular Connery action in your agent,
+ * check out an example here: ./examples/src/tools/connery.ts
+ */
+
+const model = new OpenAI({ temperature: 0 });
+const conneryService = new ConneryService();
+const conneryToolkit = await ConneryToolkit.createInstance(conneryService);
+
+const executor = await initializeAgentExecutorWithOptions(
+  conneryToolkit.tools,
+  model,
+  {
+    agentType: "zero-shot-react-description",
+    verbose: true,
+  }
+);
+
+/**
+ * In this example we use two Connery actions:
+ * 1. "Summarize public webpage" from the "Summarization" plugin.
+ * 2. "Send email" from the "Gmail" plugin.
+ */
+const input =
+  "Make a short summary of the webpage http://www.paulgraham.com/vb.html in three sentences " +
+  "and send it to [email protected]. Include the link to the webpage into the body of the email.";
+const result = await executor.invoke({ input });
+console.log(result.output);
+
+/**
+ * As a result, you should receive an email similar to this:
+ *
+ * Subject: Summary of "Life is Short"
+ * Body: Here is a summary of the webpage "Life is Short" by Paul Graham:
+ * The author reflects on the shortness of life and how having children has made them realize
+ * the limited time they have. They argue that life is too short for unnecessary things,
+ * or "bullshit," and that one should prioritize avoiding it.
+ * They also discuss the importance of actively seeking out things that matter and not waiting to do them.
+ * The author suggests pruning unnecessary things, savoring the time one has, and not waiting to do what truly matters.
+ * They also discuss the effect of how one lives on the length of their life and the importance of being conscious of time.
+ * Link to webpage: http://www.paulgraham.com/vb.html
+ */

examples/src/tools/connery.ts

@@ -0,0 +1,37 @@
+import { ConneryService } from "langchain/tools/connery";
+
+/**
+ * This example shows how to create a tool for one specific Connery action and call it.
+ *
+ * Connery is an open-source plugin infrastructure for AI.
+ * Source code: https://github.com/connery-io/connery-platform
+ *
+ * To run this example, you need to do some preparation:
+ * 1. Set up the Connery runner. See a quick start guide here: https://docs.connery.io/docs/platform/quick-start/
+ * 2. Install the "Gmail" plugin (https://github.com/connery-io/gmail) on the runner.
+ * 3. Set environment variables CONNERY_RUNNER_URL and CONNERY_RUNNER_API_KEY in the ./examples/.env file of this repository.
+ *
+ * If you want to use several Connery actions in your agent, check out the Connery Toolkit.
+ * Example of using Connery Toolkit: ./examples/src/agents/connery_mrkl.ts
+ */
+
+const conneryService = new ConneryService();
+
+/**
+ * The "getAction" method fetches the action from the Connery runner by ID,
+ * constructs a LangChain tool object from it, and returns it to the caller.
+ *
+ * In this example, we use the ID of the "Send email" action from the "Gmail" plugin.
+ * You can find action IDs in the Connery runner.
+ */
+const tool = await conneryService.getAction("CABC80BB79C15067CA983495324AE709");
+
+/**
+ * The "call" method of the tool takes a plain English prompt
+ * with all the information needed to run the Connery action behind the scenes.
+ */
+const result = await tool.call(
+  "Send an email to [email protected] with the subject 'Test email' and the body 'This is a test email sent from Langchain Connery tool.'"
+);
+
+console.log(result);

langchain/.env.example

@@ -13,6 +13,8 @@ AZURE_OPENAI_API_COMPLETIONS_DEPLOYMENT_NAME=ADD_YOURS_HERE
 AZURE_OPENAI_API_EMBEDDINGS_DEPLOYMENT_NAME=ADD_YOURS_HERE
 AZURE_OPENAI_API_VERSION=ADD_YOURS_HERE
 AZURE_OPENAI_BASE_PATH=ADD_YOURS_HERE
+CONNERY_RUNNER_URL=ADD_YOURS_HERE
+CONNERY_RUNNER_API_KEY=ADD_YOURS_HERE
 CONVEX_URL=ADD_YOURS_HERE
 ELASTIC_URL=http://127.0.0.1:9200
 OPENSEARCH_URL=http://127.0.0.1:9200

langchain/.gitignore

@@ -16,6 +16,9 @@ agents/toolkits.d.ts
 agents/toolkits/aws_sfn.cjs
 agents/toolkits/aws_sfn.js
 agents/toolkits/aws_sfn.d.ts
+agents/toolkits/connery.cjs
+agents/toolkits/connery.js
+agents/toolkits/connery.d.ts
 agents/toolkits/sql.cjs
 agents/toolkits/sql.js
 agents/toolkits/sql.d.ts
@@ -58,6 +61,9 @@ tools/aws_sfn.d.ts
 tools/calculator.cjs
 tools/calculator.js
 tools/calculator.d.ts
+tools/connery.cjs
+tools/connery.js
+tools/connery.d.ts
 tools/render.cjs
 tools/render.js
 tools/render.d.ts

langchain/package.json

@@ -28,6 +28,9 @@
     "agents/toolkits/aws_sfn.cjs",
     "agents/toolkits/aws_sfn.js",
     "agents/toolkits/aws_sfn.d.ts",
+    "agents/toolkits/connery.cjs",
+    "agents/toolkits/connery.js",
+    "agents/toolkits/connery.d.ts",
     "agents/toolkits/sql.cjs",
     "agents/toolkits/sql.js",
     "agents/toolkits/sql.d.ts",
@@ -70,6 +73,9 @@
     "tools/calculator.cjs",
     "tools/calculator.js",
     "tools/calculator.d.ts",
+    "tools/connery.cjs",
+    "tools/connery.js",
+    "tools/connery.d.ts",
     "tools/render.cjs",
     "tools/render.js",
     "tools/render.d.ts",
@@ -1486,6 +1492,11 @@
       "import": "./agents/toolkits/aws_sfn.js",
       "require": "./agents/toolkits/aws_sfn.cjs"
     },
+    "./agents/toolkits/connery": {
+      "types": "./agents/toolkits/connery.d.ts",
+      "import": "./agents/toolkits/connery.js",
+      "require": "./agents/toolkits/connery.cjs"
+    },
     "./agents/toolkits/sql": {
       "types": "./agents/toolkits/sql.d.ts",
       "import": "./agents/toolkits/sql.js",
@@ -1556,6 +1567,11 @@
       "import": "./tools/calculator.js",
       "require": "./tools/calculator.cjs"
     },
+    "./tools/connery": {
+      "types": "./tools/connery.d.ts",
+      "import": "./tools/connery.js",
+      "require": "./tools/connery.cjs"
+    },
     "./tools/render": {
       "types": "./tools/render.d.ts",
       "import": "./tools/render.js",