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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -1,8 +1,15 @@ | ||
| SERVER_PORT=5000 | ||
| OPEN_AI_KEY= | ||
| OPEN_MODEL_PREF='gpt-3.5-turbo' | ||
| # AUTH_TOKEN="hunter2" # This is the password to your application if remote hosting. | ||
| CACHE_VECTORS="true" | ||
|
|
||
| # Enable all below if you are using vector database: Chroma. | ||
| # VECTOR_DB="chroma" | ||
| # CHROMA_ENDPOINT='http://localhost:8000' | ||
|
|
||
| # Enable all below if you are using vector database: Pinecone. | ||
| VECTOR_DB="pinecone" | ||
| PINECONE_ENVIRONMENT= | ||
| PINECONE_API_KEY= | ||
| PINECONE_INDEX= | ||
| AUTH_TOKEN="hunter2" # This is the password to your application if remote hosting. | ||
| CACHE_VECTORS="true" | ||
| PINECONE_INDEX= |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -1 +1 @@ | ||
| v18.12.1 | ||
| v18.13.0 |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -1,34 +1,46 @@ | ||
| require('dotenv').config({ path: `.env.${process.env.NODE_ENV}` }) | ||
| const { Pinecone } = require('../utils/pinecone'); | ||
| const { viewLocalFiles } = require('../utils/files'); | ||
| require("dotenv").config({ path: `.env.${process.env.NODE_ENV}` }); | ||
| const { viewLocalFiles } = require("../utils/files"); | ||
| const { getVectorDbClass } = require("../utils/helpers"); | ||
|
|
||
| function systemEndpoints(app) { | ||
| if (!app) return; | ||
|
|
||
| app.get('/ping', (_, response) => { | ||
| app.get("/ping", (_, response) => { | ||
| response.sendStatus(200); | ||
| }) | ||
| }); | ||
|
|
||
| app.get('/setup-complete', (_, response) => { | ||
| app.get("/setup-complete", (_, response) => { | ||
| const vectorDB = process.env.VECTOR_DB || "pinecone"; | ||
| const results = { | ||
| VectorDB: vectorDB, | ||
| OpenAiKey: !!process.env.OPEN_AI_KEY, | ||
| OpenAiModelPref: process.env.OPEN_MODEL_PREF || 'gpt-3.5-turbo', | ||
| PineConeEnvironment: process.env.PINECONE_ENVIRONMENT, | ||
| PineConeKey: !!process.env.PINECONE_API_KEY, | ||
| PinceConeIndex: process.env.PINECONE_INDEX, | ||
| } | ||
| response.status(200).json({ results }) | ||
| }) | ||
| OpenAiModelPref: process.env.OPEN_MODEL_PREF || "gpt-3.5-turbo", | ||
| ...(vectorDB === "pinecone" | ||
| ? { | ||
| PineConeEnvironment: process.env.PINECONE_ENVIRONMENT, | ||
| PineConeKey: !!process.env.PINECONE_API_KEY, | ||
| PineConeIndex: process.env.PINECONE_INDEX, | ||
| } | ||
| : {}), | ||
| ...(vectorDB === "chroma" | ||
| ? { | ||
| ChromaEndpoint: process.env.CHROMA_ENDPOINT, | ||
| } | ||
| : {}), | ||
| }; | ||
| response.status(200).json({ results }); | ||
| }); | ||
|
|
||
| app.get('/system-vectors', async (_, response) => { | ||
| const vectorCount = await Pinecone.totalIndicies(); | ||
| response.status(200).json({ vectorCount }) | ||
| }) | ||
| app.get("/system-vectors", async (_, response) => { | ||
| const VectorDb = getVectorDbClass(); | ||
| const vectorCount = await VectorDb.totalIndicies(); | ||
| response.status(200).json({ vectorCount }); | ||
| }); | ||
|
|
||
| app.get('/local-files', async (_, response) => { | ||
| const localFiles = await viewLocalFiles() | ||
| response.status(200).json({ localFiles }) | ||
| }) | ||
| app.get("/local-files", async (_, response) => { | ||
| const localFiles = await viewLocalFiles(); | ||
| response.status(200).json({ localFiles }); | ||
| }); | ||
| } | ||
|
|
||
| module.exports = { systemEndpoints } | ||
| module.exports = { systemEndpoints }; |
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