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feat(agents): replace LLMs with chat LLMs

This commit is contained in:
ItzCrazyKns 2024-04-18 18:15:17 +05:30
parent f9ab543bcf
commit dd1ce4e324
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GPG Key ID: 8162927C7CCE3065
7 changed files with 19 additions and 44 deletions
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11
src/agents/academicSearchAgent.ts
View File

@ -9,7 +9,7 @@ import {
RunnableMap,
RunnableLambda,
} from '@langchain/core/runnables';
import { ChatOpenAI, OpenAI, OpenAIEmbeddings } from '@langchain/openai';
import { ChatOpenAI, OpenAIEmbeddings } from '@langchain/openai';
import { StringOutputParser } from '@langchain/core/output_parsers';
import { Document } from '@langchain/core/documents';
import { searchSearxng } from '../core/searxng';
@ -18,16 +18,11 @@ import formatChatHistoryAsString from '../utils/formatHistory';
import eventEmitter from 'events';
import computeSimilarity from '../utils/computeSimilarity';
const chatLLM = new ChatOpenAI({
const llm = new ChatOpenAI({
modelName: process.env.MODEL_NAME,
temperature: 0.7,
});
const llm = new OpenAI({
temperature: 0,
modelName: process.env.MODEL_NAME,
});
const embeddings = new OpenAIEmbeddings({
modelName: 'text-embedding-3-large',
});
@ -215,7 +210,7 @@ const basicAcademicSearchAnsweringChain = RunnableSequence.from([
new MessagesPlaceholder('chat_history'),
['user', '{query}'],
]),
chatLLM,
llm,
strParser,
]).withConfig({
runName: 'FinalResponseGenerator',

6
src/agents/imageSearchAgent.ts
View File

@ -4,15 +4,15 @@ import {
RunnableLambda,
} from '@langchain/core/runnables';
import { PromptTemplate } from '@langchain/core/prompts';
import { OpenAI } from '@langchain/openai';
import { ChatOpenAI } from '@langchain/openai';
import formatChatHistoryAsString from '../utils/formatHistory';
import { BaseMessage } from '@langchain/core/messages';
import { StringOutputParser } from '@langchain/core/output_parsers';
import { searchSearxng } from '../core/searxng';
const llm = new OpenAI({
temperature: 0,
const llm = new ChatOpenAI({
modelName: process.env.MODEL_NAME,
temperature: 0.7,
});
const imageSearchChainPrompt = `

11
src/agents/redditSearchAgent.ts
View File

@ -9,7 +9,7 @@ import {
RunnableMap,
RunnableLambda,
} from '@langchain/core/runnables';
import { ChatOpenAI, OpenAI, OpenAIEmbeddings } from '@langchain/openai';
import { ChatOpenAI, OpenAIEmbeddings } from '@langchain/openai';
import { StringOutputParser } from '@langchain/core/output_parsers';
import { Document } from '@langchain/core/documents';
import { searchSearxng } from '../core/searxng';
@ -18,16 +18,11 @@ import formatChatHistoryAsString from '../utils/formatHistory';
import eventEmitter from 'events';
import computeSimilarity from '../utils/computeSimilarity';
const chatLLM = new ChatOpenAI({
const llm = new ChatOpenAI({
modelName: process.env.MODEL_NAME,
temperature: 0.7,
});
const llm = new OpenAI({
temperature: 0,
modelName: process.env.MODEL_NAME,
});
const embeddings = new OpenAIEmbeddings({
modelName: 'text-embedding-3-large',
});
@ -211,7 +206,7 @@ const basicRedditSearchAnsweringChain = RunnableSequence.from([
new MessagesPlaceholder('chat_history'),
['user', '{query}'],
]),
chatLLM,
llm,
strParser,
]).withConfig({
runName: 'FinalResponseGenerator',

11
src/agents/webSearchAgent.ts
View File

@ -9,7 +9,7 @@ import {
RunnableMap,
RunnableLambda,
} from '@langchain/core/runnables';
import { ChatOpenAI, OpenAI, OpenAIEmbeddings } from '@langchain/openai';
import { ChatOpenAI, OpenAIEmbeddings } from '@langchain/openai';
import { StringOutputParser } from '@langchain/core/output_parsers';
import { Document } from '@langchain/core/documents';
import { searchSearxng } from '../core/searxng';
@ -18,16 +18,11 @@ import formatChatHistoryAsString from '../utils/formatHistory';
import eventEmitter from 'events';
import computeSimilarity from '../utils/computeSimilarity';
const chatLLM = new ChatOpenAI({
const llm = new ChatOpenAI({
modelName: process.env.MODEL_NAME,
temperature: 0.7,
});
const llm = new OpenAI({
temperature: 0,
modelName: process.env.MODEL_NAME,
});
const embeddings = new OpenAIEmbeddings({
modelName: 'text-embedding-3-large',
});
@ -210,7 +205,7 @@ const basicWebSearchAnsweringChain = RunnableSequence.from([
new MessagesPlaceholder('chat_history'),
['user', '{query}'],
]),
chatLLM,
llm,
strParser,
]).withConfig({
runName: 'FinalResponseGenerator',

9
src/agents/wolframAlphaSearchAgent.ts
View File

@ -17,16 +17,11 @@ import type { StreamEvent } from '@langchain/core/tracers/log_stream';
import formatChatHistoryAsString from '../utils/formatHistory';
import eventEmitter from 'events';
const chatLLM = new ChatOpenAI({
const llm = new ChatOpenAI({
modelName: process.env.MODEL_NAME,
temperature: 0.7,
});
const llm = new OpenAI({
temperature: 0,
modelName: process.env.MODEL_NAME,
});
const basicWolframAlphaSearchRetrieverPrompt = `
You will be given a conversation below and a follow up question. You need to rephrase the follow-up question if needed so it is a standalone question that can be used by the LLM to search the web for information.
If it is a writing task or a simple hi, hello rather than a question, you need to return \`not_needed\` as the response.
@ -169,7 +164,7 @@ const basicWolframAlphaSearchAnsweringChain = RunnableSequence.from([
new MessagesPlaceholder('chat_history'),
['user', '{query}'],
]),
chatLLM,
llm,
strParser,
]).withConfig({
runName: 'FinalResponseGenerator',

4
src/agents/writingAssistant.ts
View File

@ -9,7 +9,7 @@ import { StringOutputParser } from '@langchain/core/output_parsers';
import type { StreamEvent } from '@langchain/core/tracers/log_stream';
import eventEmitter from 'events';
const chatLLM = new ChatOpenAI({
const llm = new ChatOpenAI({
modelName: process.env.MODEL_NAME,
temperature: 0.7,
});
@ -50,7 +50,7 @@ const writingAssistantChain = RunnableSequence.from([
new MessagesPlaceholder('chat_history'),
['user', '{query}'],
]),
chatLLM,
llm,
strParser,
]).withConfig({
runName: 'FinalResponseGenerator',

11
src/agents/youtubeSearchAgent.ts
View File

@ -9,7 +9,7 @@ import {
RunnableMap,
RunnableLambda,
} from '@langchain/core/runnables';
import { ChatOpenAI, OpenAI, OpenAIEmbeddings } from '@langchain/openai';
import { ChatOpenAI, OpenAIEmbeddings } from '@langchain/openai';
import { StringOutputParser } from '@langchain/core/output_parsers';
import { Document } from '@langchain/core/documents';
import { searchSearxng } from '../core/searxng';
@ -18,16 +18,11 @@ import formatChatHistoryAsString from '../utils/formatHistory';
import eventEmitter from 'events';
import computeSimilarity from '../utils/computeSimilarity';
const chatLLM = new ChatOpenAI({
const llm = new ChatOpenAI({
modelName: process.env.MODEL_NAME,
temperature: 0.7,
});
const llm = new OpenAI({
temperature: 0,
modelName: process.env.MODEL_NAME,
});
const embeddings = new OpenAIEmbeddings({
modelName: 'text-embedding-3-large',
});
@ -211,7 +206,7 @@ const basicYoutubeSearchAnsweringChain = RunnableSequence.from([
new MessagesPlaceholder('chat_history'),
['user', '{query}'],
]),
chatLLM,
llm,
strParser,
]).withConfig({
runName: 'FinalResponseGenerator',