chore: lint files

langchain-ai · Jul 22, 2024 · c8fbed2 · c8fbed2
1 parent e47850c
commit c8fbed2
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Showing 5 changed files with 9 additions and 22 deletions.
diff --git a/langchain/src/chat_models/base.ts b/langchain/src/chat_models/base.ts
@@ -102,7 +102,9 @@ async function _initChatModelHelper(
       return new ChatGoogleGenerativeAI({ model, ...kwargs });
     }
     case "fireworks": {
-      throw new Error("Dynamic imports from @langchain/community not supported.");
+      throw new Error(
+        "Dynamic imports from @langchain/community not supported."
+      );
       // _checkPackage("@langchain/community/chat_models/fireworks");
       // const { ChatFireworks } = await import(
       //   "@langchain/community/chat_models/fireworks"
@@ -115,7 +117,9 @@ async function _initChatModelHelper(
       return new ChatOllama({ model, ...kwargs });
     }
     case "together": {
-      throw new Error("Dynamic imports from @langchain/community not supported.");
+      throw new Error(
+        "Dynamic imports from @langchain/community not supported."
+      );
       // _checkPackage("@langchain/community/chat_models/togetherai");
       // const { ChatTogetherAI } = await import(
       //   "@langchain/community/chat_models/togetherai"

diff --git a/libs/langchain-aws/src/tests/embeddings.int.test.ts b/libs/langchain-aws/src/tests/embeddings.int.test.ts
@@ -70,15 +70,12 @@ test.skip("Test end to end with MemoryVectorStore", async () => {
   //   })
   // );
   // expect(vectorStore.memoryVectors).toHaveLength(3);
-
   // const resultOne = await vectorStore.similaritySearch("hello world", 1);
   // const resultOneMetadatas = resultOne.map(({ metadata }) => metadata);
   // expect(resultOneMetadatas).toEqual([{ id: 2 }]);
-
   // const resultTwo = await vectorStore.similaritySearch("hello world", 2);
   // const resultTwoMetadatas = resultTwo.map(({ metadata }) => metadata);
   // expect(resultTwoMetadatas).toEqual([{ id: 2 }, { id: 3 }]);
-
   // const resultThree = await vectorStore.similaritySearch("hello world", 3);
   // const resultThreeMetadatas = resultThree.map(({ metadata }) => metadata);
   // expect(resultThreeMetadatas).toEqual([{ id: 2 }, { id: 3 }, { id: 1 }]);

diff --git a/libs/langchain-groq/src/tests/agent.int.test.ts b/libs/langchain-groq/src/tests/agent.int.test.ts
@@ -18,7 +18,6 @@ test.skip("Model is compatible with OpenAI tools agent and Agent Executor", asyn
   //   ["human", "{input}"],
   //   ["placeholder", "{agent_scratchpad}"],
   // ]);
-
   // const currentWeatherTool = new DynamicStructuredTool({
   //   name: "get_current_weather",
   //   description: "Get the current weather in a given location",
@@ -29,22 +28,18 @@ test.skip("Model is compatible with OpenAI tools agent and Agent Executor", asyn
   //   }),
   //   func: async () => Promise.resolve("28 °C"),
   // });
-
   // const agent = await createOpenAIToolsAgent({
   //   llm,
   //   tools: [currentWeatherTool],
   //   prompt,
   // });
-
   // const agentExecutor = new AgentExecutor({
   //   agent,
   //   tools: [currentWeatherTool],
   // });
-
   // const input = "What's the weather like in Paris?";
   // const { output } = await agentExecutor.invoke({ input });
-
   // console.log(output);
   // expect(output).toBeDefined();
   // expect(output).toContain("The current temperature in Paris is 28 °C");
-});
+});
diff --git a/libs/langchain-mistralai/src/tests/agent.int.test.ts b/libs/langchain-mistralai/src/tests/agent.int.test.ts
@@ -50,19 +50,16 @@ test("Model is compatible with OpenAI tools agent and Agent Executor", async ()
   //   temperature: 0,
   //   model: "mistral-large-latest",
   // });
-
   // const systemMessage = SystemMessagePromptTemplate.fromTemplate(
   //   "You are an agent capable of retrieving current weather information."
   // );
   // const humanMessage = HumanMessagePromptTemplate.fromTemplate("{input}");
   // const agentScratchpad = new MessagesPlaceholder("agent_scratchpad");
-
   // const prompt = ChatPromptTemplate.fromMessages([
   //   systemMessage,
   //   humanMessage,
   //   agentScratchpad,
   // ]);
-
   // const currentWeatherTool = new DynamicStructuredTool({
   //   name: "get_current_weather",
   //   description: "Get the current weather in a given location",
@@ -73,22 +70,18 @@ test("Model is compatible with OpenAI tools agent and Agent Executor", async ()
   //   }),
   //   func: async () => Promise.resolve("28 °C"),
   // });
-
   // const agent = await createOpenAIToolsAgent({
   //   llm,
   //   tools: [currentWeatherTool],
   //   prompt,
   // });
-
   // const agentExecutor = new AgentExecutor({
   //   agent,
   //   tools: [currentWeatherTool],
   // });
-
   // const input = "What's the weather like in Paris?";
   // const { output } = await agentExecutor.invoke({ input });
-
   // console.log(output);
   // expect(output).toBeDefined();
   // expect(output).toContain("The current temperature in Paris is 28 °C");
-});
+});
diff --git a/libs/langchain-mistralai/src/tests/chat_models.int.test.ts b/libs/langchain-mistralai/src/tests/chat_models.int.test.ts
@@ -1,7 +1,5 @@
 import { test } from "@jest/globals";
-import {
-  ChatPromptTemplate,
-} from "@langchain/core/prompts";
+import { ChatPromptTemplate } from "@langchain/core/prompts";
 import { StructuredTool } from "@langchain/core/tools";
 import { z } from "zod";
 import {