28 lines
1.2 KiB
Markdown
28 lines
1.2 KiB
Markdown
**What was implemented**
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- Added the `langchain-openai` package to `requirements.txt`.
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- Replaced the previous LLM import with `langchain-openai` in `src/index.js` and instantiated the LLM using the new class.
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**Why the main parts satisfy the requirements**
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- The assignment explicitly asks for the stack to include `langchain-openai`. By adding it to the dependency list and using it to create the LLM instance, the project now meets the stack specification.
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- The LLM is configured with a temperature of 0.7 and the `gpt-3.5-turbo` model, which is a typical setup for a self‑correcting agent and keeps the code simple and clear.
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**Short code excerpts**
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`requirements.txt`
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```txt
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langchain-openai
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```
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`src/index.js`
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```js
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const { OpenAI } = require("langchain-openai");
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const llm = new OpenAI({
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temperature: 0.7,
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modelName: "gpt-3.5-turbo",
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});
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```
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**Honest limitations**
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- The solution only demonstrates a single prompt invocation; further integration (e.g., chaining, memory, or self‑correction logic) would need to be added for a full agent.
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- No error handling beyond a basic console log is implemented, which might be insufficient for production use. |