Comments (6)
To resolve the TypeScript compilation error related to ChatOpenAI
from @langchain/openai
during a Docker build, you can try the following steps:
-
Ensure all dependencies are installed correctly: Sometimes, Docker might not install all dependencies correctly. Make sure to run
npm install
inside your Docker container. -
Check TypeScript configuration: Ensure that your
tsconfig.json
is correctly configured and includes all necessary paths and settings. You can refer to thetsconfig.cjs.json
used in@langchain/openai
for guidance:{ "extends": "./tsconfig.json", "compilerOptions": { "module": "commonjs", "declaration": false }, "exclude": [ "node_modules", "dist", "docs", "**/tests" ] }
-
Install missing types: Sometimes, TypeScript might be missing type definitions. Ensure that you have installed all necessary type definitions, especially for
@langchain/openai
. -
Use a specific version of dependencies: There might be differences in how dependencies are resolved in Docker compared to macOS or Windows. Pin the versions of your dependencies in
package.json
. For example, ensure you are using compatible versions as specified in@langchain/openai
:"dependencies": { "@langchain/core": ">=0.2.5 <0.3.0", "js-tiktoken": "^1.0.12", "openai": "^4.41.1", "zod": "^3.22.4", "zod-to-json-schema": "^3.22.3" }, "devDependencies": { "@azure/identity": "^4.2.0", "@jest/globals": "^29.5.0", "@langchain/scripts": "~0.0.14", "@langchain/standard-tests": "workspace:*", "@swc/core": "^1.3.90", "@swc/jest": "^0.2.29", "dpdm": "^3.12.0", "eslint": "^8.33.0", "eslint-config-airbnb-base": "^15.0.0", "eslint-config-prettier": "^8.6.0", "eslint-plugin-import": "^2.27.5", "eslint-plugin-jest": "^27.6.0", "eslint-plugin-no-instanceof": "^1.0.1", "eslint-plugin-prettier": "^4.2.1", "jest": "^29.5.0", "jest-environment-node": "^29.6.4", "prettier": "^2.8.3", "release-it": "^15.10.1", "rimraf": "^5.0.1", "typescript": "~5.1.6" }
-
Check for environment variables: The
ChatOpenAI
class requires certain environment variables to be set, such asOPENAI_API_KEY
for OpenAI orAZURE_OPENAI_API_KEY
,AZURE_OPENAI_API_INSTANCE_NAME
,AZURE_OPENAI_API_DEPLOYMENT_NAME
, andAZURE_OPENAI_API_VERSION
for Azure. Ensure these are correctly set in your Docker environment.
Here is an example of how you might configure your Dockerfile
to ensure all dependencies are installed correctly:
FROM node:18
# Create app directory
WORKDIR /usr/src/app
# Install app dependencies
COPY package*.json ./
RUN npm install
# Bundle app source
COPY . .
# Build the TypeScript code
RUN npm run build
# If you have a start script
CMD [ "npm", "start" ]
And ensure your tsconfig.json
includes necessary configurations:
{
"compilerOptions": {
"target": "ES6",
"module": "commonjs",
"strict": true,
"esModuleInterop": true,
"skipLibCheck": true,
"forceConsistentCasingInFileNames": true,
"outDir": "./dist"
},
"include": ["src/**/*"],
"exclude": ["node_modules", "**/*.spec.ts"]
}
Additionally, ensure that your environment variables are correctly set in your Docker environment. You can do this by adding the following to your Dockerfile
:
# Set environment variables
ENV OPENAI_API_KEY=<your_openai_api_key>
ENV AZURE_OPENAI_API_KEY=<your_azure_openai_api_key>
ENV AZURE_OPENAI_API_INSTANCE_NAME=<your_azure_instance_name>
ENV AZURE_OPENAI_API_DEPLOYMENT_NAME=<your_azure_deployment_name>
ENV AZURE_OPENAI_API_VERSION=<your_azure_api_version>
If the issue persists, you might need to provide more specific error messages or logs to diagnose further. Additionally, ensure that the ChatOpenAI
class and its dependencies are correctly imported and used as per the documentation:
import { ChatOpenAI } from "@langchain/openai";
// Example usage
const model = new ChatOpenAI({
temperature: 0.9,
model: "ft:gpt-3.5-turbo-0613:{ORG_NAME}::{MODEL_ID}",
});
const message = await model.invoke("Hi there!");
console.log(message);
Make sure that all required environment variables and configurations are correctly set up as described in the ChatOpenAI
class documentation [1][2][3][4][5].
To continue talking to Dosu, mention @dosu.
from langchainjs.
I created this repo to easily reproduce the bug in 4 easy steps. It turns out that this problem even occurs outside of docker build step: https://github.com/johnnyoshika/langchain-ts2415
Demo:
demo.mov
from langchainjs.
I can confirm that I am facing a related issue when I am trying to do something like the following:
import { createToolCallingAgent } from 'langchain/agents'
import { ChatOpenAI } from '@langchain/openai'
.
.
.
this.client = new ChatOpenAI({
model: 'gpt-4o',
temperature: 0,
})
.
.
.
const agent = createToolCallingAgent({
llm: this.client, // <---- The point where error occurs (even my TS linter is able to point it out)
tools,
prompt,
})
I get the following error:
error TS2322: Type 'ChatOpenAI<ChatOpenAICallOptions>' is not assignable to type 'BaseChatModel<BaseLanguageModelCallOptions, BaseMessageChunk>'.
Property 'getLsParams' is protected in type 'ChatOpenAI<ChatOpenAICallOptions>' but public in type 'BaseChatModel<BaseLanguageModelCallOptions, BaseMessageChunk>'
from langchainjs.
Sorry you were getting this error! If you upgrade to the latest version of @langchain/openai
(0.1.2) it should be resolved. The issue here was I updated all instances of getLsParams
to be public, instead of protected, but only cut a release for @langchain/core
, meaning the released code for openai/other partner packages was incompatible with the released code in @langchain/core
.
We're taking steps to add tests for this, so this type of issue can be caught in the future.
from langchainjs.
@bracesproul thanks for the quick fix!
from langchainjs.
Related Issues (20)
- Failed to invoke a chain twice based on XataChatMessageHistory in the same session. HOT 4
- langchain-community/chat_models/Bedrock [Feature]: Agent with Tools using Bedrock Anthropic Claude new tools API HOT 1
- ChatWebLLM Initialization Failure Due To @mlc-ai/web-llm Refactoring HOT 5
- DOC: <Issue related to /v0.2/docs/integrations/chat/ollama_functions> HOT 1
- Swapping ChatOpenAI with AzureChatOpenAI fails when streaming HOT 9
- npm error when installing @langchain/community HOT 7
- DOC: <Issue related to /v0.2/docs/integrations/llms/huggingface_inference/> HOT 1
- LangChain 0.2 adds LangChain 0.1 to node_modules HOT 2
- `ChatOpenAI.getLsParams` is protected (unlike `BaseChatModel` which it extends) making `ChatOpenAI` not assignable to `BaseChatModel` HOT 3
- Data going undefined HOT 3
- Typing issue with Pinecone HOT 2
- Passing Pinecone.Index to PineconeStore.fromExistingIndex broken after update HOT 2
- `RunnableWithMessageHistory` fails when using `RunnablePassthrough.assign` as runnable HOT 2
- Using the MultiQueryRetriever in combination with the PGVectorStore ignores metadata for filtering embeddings HOT 3
- DOC: LLM chain tutorial breaks on the parser
- DOC: <Issue related to /v0.2/docs/tutorials/summarization> HOT 1
- Gemini failing due to missing API Key, even if provided HOT 5
- OpenAI or Azure OpenAI API key not found (Cannot set apiKey - ENV works fine) HOT 3
- DOC: <Issue related to /v0.2/docs/integrations/vectorstores/prisma/> HOT 1
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from langchainjs.