mirror of
https://github.com/run-llama/LlamaIndexTS.git
synced 2026-07-20 02:53:50 -04:00
Compare commits
2 Commits
| Author | SHA1 | Date | |
|---|---|---|---|
 Emanuel Ferreira
|
60ad1696c9 | ||
|
Emanuel Ferreira
|
9049ebf548 |
@@ -0,0 +1,5 @@
|
||||
---
|
||||
"llamaindex": patch
|
||||
---
|
||||
|
||||
fix: prefix messages always true
|
||||
@@ -1,5 +0,0 @@
|
||||
---
|
||||
"llamaindex": patch
|
||||
---
|
||||
|
||||
Add quantized parameter to HuggingFaceEmbedding
|
||||
@@ -0,0 +1,5 @@
|
||||
---
|
||||
"llamaindex": patch
|
||||
---
|
||||
|
||||
fixed removeRefDocNode and persist store on delete
|
||||
@@ -44,7 +44,6 @@ test-results/
|
||||
playwright-report/
|
||||
blob-report/
|
||||
playwright/.cache/
|
||||
.tsbuildinfo
|
||||
|
||||
# intellij
|
||||
**/.idea
|
||||
|
||||
@@ -1,12 +1,5 @@
|
||||
# docs
|
||||
|
||||
## 0.0.4
|
||||
|
||||
### Patch Changes
|
||||
|
||||
- Updated dependencies [5116ad8]
|
||||
- @llamaindex/env@0.0.5
|
||||
|
||||
## 0.0.3
|
||||
|
||||
### Patch Changes
|
||||
|
||||
@@ -23,15 +23,3 @@ const results = await queryEngine.query({
|
||||
query,
|
||||
});
|
||||
```
|
||||
|
||||
Per default, `HuggingFaceEmbedding` is using the `Xenova/all-MiniLM-L6-v2` model. You can change the model by passing the `modelType` parameter to the constructor.
|
||||
If you're not using a quantized model, set the `quantized` parameter to `false`.
|
||||
|
||||
For example, to use the not quantized `BAAI/bge-small-en-v1.5` model, you can use the following code:
|
||||
|
||||
```
|
||||
const embedModel = new HuggingFaceEmbedding({
|
||||
modelType: "BAAI/bge-small-en-v1.5",
|
||||
quantized: false,
|
||||
});
|
||||
```
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
{
|
||||
"name": "docs",
|
||||
"version": "0.0.4",
|
||||
"version": "0.0.3",
|
||||
"private": true,
|
||||
"scripts": {
|
||||
"docusaurus": "docusaurus",
|
||||
|
||||
@@ -1,95 +0,0 @@
|
||||
import { FunctionTool, OpenAIAgent } from "llamaindex";
|
||||
|
||||
// Define a function to sum two numbers
|
||||
function sumNumbers({ a, b }: { a: number; b: number }): number {
|
||||
return a + b;
|
||||
}
|
||||
|
||||
// Define a function to divide two numbers
|
||||
function divideNumbers({ a, b }: { a: number; b: number }): number {
|
||||
return a / b;
|
||||
}
|
||||
|
||||
// Define the parameters of the sum function as a JSON schema
|
||||
const sumJSON = {
|
||||
type: "object",
|
||||
properties: {
|
||||
a: {
|
||||
type: "number",
|
||||
description: "The first number",
|
||||
},
|
||||
b: {
|
||||
type: "number",
|
||||
description: "The second number",
|
||||
},
|
||||
},
|
||||
required: ["a", "b"],
|
||||
};
|
||||
|
||||
const divideJSON = {
|
||||
type: "object",
|
||||
properties: {
|
||||
a: {
|
||||
type: "number",
|
||||
description: "The dividend a to divide",
|
||||
},
|
||||
b: {
|
||||
type: "number",
|
||||
description: "The divisor b to divide by",
|
||||
},
|
||||
},
|
||||
required: ["a", "b"],
|
||||
};
|
||||
|
||||
async function main() {
|
||||
// Create a function tool from the sum function
|
||||
const functionTool = new FunctionTool(sumNumbers, {
|
||||
name: "sumNumbers",
|
||||
description: "Use this function to sum two numbers",
|
||||
parameters: sumJSON,
|
||||
});
|
||||
|
||||
// Create a function tool from the divide function
|
||||
const functionTool2 = new FunctionTool(divideNumbers, {
|
||||
name: "divideNumbers",
|
||||
description: "Use this function to divide two numbers",
|
||||
parameters: divideJSON,
|
||||
});
|
||||
|
||||
// Create an OpenAIAgent with the function tools
|
||||
const agent = new OpenAIAgent({
|
||||
tools: [functionTool, functionTool2],
|
||||
verbose: true,
|
||||
});
|
||||
|
||||
// Create a task to sum and divide numbers
|
||||
const task = agent.createTask("How much is 5 + 5? then divide by 2");
|
||||
|
||||
let count = 0;
|
||||
|
||||
while (true) {
|
||||
const stepOutput = await agent.runStep(task.taskId);
|
||||
|
||||
console.log(`Runnning step ${count++}`);
|
||||
console.log(`======== OUTPUT ==========`);
|
||||
if (stepOutput.output.response) {
|
||||
console.log(stepOutput.output.response);
|
||||
} else {
|
||||
console.log(stepOutput.output.sources);
|
||||
}
|
||||
console.log(`==========================`);
|
||||
|
||||
if (stepOutput.isLast) {
|
||||
const finalResponse = await agent.finalizeResponse(
|
||||
task.taskId,
|
||||
stepOutput,
|
||||
);
|
||||
console.log({ finalResponse });
|
||||
break;
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
main().then(() => {
|
||||
console.log("Done");
|
||||
});
|
||||
@@ -1,64 +0,0 @@
|
||||
import {
|
||||
OpenAIAgent,
|
||||
QueryEngineTool,
|
||||
SimpleDirectoryReader,
|
||||
VectorStoreIndex,
|
||||
} from "llamaindex";
|
||||
|
||||
async function main() {
|
||||
// Load the documents
|
||||
const documents = await new SimpleDirectoryReader().loadData({
|
||||
directoryPath: "node_modules/llamaindex/examples",
|
||||
});
|
||||
|
||||
// Create a vector index from the documents
|
||||
const vectorIndex = await VectorStoreIndex.fromDocuments(documents);
|
||||
|
||||
// Create a query engine from the vector index
|
||||
const abramovQueryEngine = vectorIndex.asQueryEngine();
|
||||
|
||||
// Create a QueryEngineTool with the query engine
|
||||
const queryEngineTool = new QueryEngineTool({
|
||||
queryEngine: abramovQueryEngine,
|
||||
metadata: {
|
||||
name: "abramov_query_engine",
|
||||
description: "A query engine for the Abramov documents",
|
||||
},
|
||||
});
|
||||
|
||||
// Create an OpenAIAgent with the function tools
|
||||
const agent = new OpenAIAgent({
|
||||
tools: [queryEngineTool],
|
||||
verbose: true,
|
||||
});
|
||||
|
||||
const task = agent.createTask("What was his salary?");
|
||||
|
||||
let count = 0;
|
||||
|
||||
while (true) {
|
||||
const stepOutput = await agent.runStep(task.taskId);
|
||||
|
||||
console.log(`Runnning step ${count++}`);
|
||||
console.log(`======== OUTPUT ==========`);
|
||||
if (stepOutput.output.response) {
|
||||
console.log(stepOutput.output.response);
|
||||
} else {
|
||||
console.log(stepOutput.output.sources);
|
||||
}
|
||||
console.log(`==========================`);
|
||||
|
||||
if (stepOutput.isLast) {
|
||||
const finalResponse = await agent.finalizeResponse(
|
||||
task.taskId,
|
||||
stepOutput,
|
||||
);
|
||||
console.log({ finalResponse });
|
||||
break;
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
main().then(() => {
|
||||
console.log("Done");
|
||||
});
|
||||
@@ -1,90 +0,0 @@
|
||||
import { FunctionTool, ReActAgent } from "llamaindex";
|
||||
|
||||
// Define a function to sum two numbers
|
||||
function sumNumbers({ a, b }: { a: number; b: number }): number {
|
||||
return a + b;
|
||||
}
|
||||
|
||||
// Define a function to divide two numbers
|
||||
function divideNumbers({ a, b }: { a: number; b: number }): number {
|
||||
return a / b;
|
||||
}
|
||||
|
||||
// Define the parameters of the sum function as a JSON schema
|
||||
const sumJSON = {
|
||||
type: "object",
|
||||
properties: {
|
||||
a: {
|
||||
type: "number",
|
||||
description: "The first number",
|
||||
},
|
||||
b: {
|
||||
type: "number",
|
||||
description: "The second number",
|
||||
},
|
||||
},
|
||||
required: ["a", "b"],
|
||||
};
|
||||
|
||||
const divideJSON = {
|
||||
type: "object",
|
||||
properties: {
|
||||
a: {
|
||||
type: "number",
|
||||
description: "The dividend",
|
||||
},
|
||||
b: {
|
||||
type: "number",
|
||||
description: "The divisor",
|
||||
},
|
||||
},
|
||||
required: ["a", "b"],
|
||||
};
|
||||
|
||||
async function main() {
|
||||
// Create a function tool from the sum function
|
||||
const functionTool = new FunctionTool(sumNumbers, {
|
||||
name: "sumNumbers",
|
||||
description: "Use this function to sum two numbers",
|
||||
parameters: sumJSON,
|
||||
});
|
||||
|
||||
// Create a function tool from the divide function
|
||||
const functionTool2 = new FunctionTool(divideNumbers, {
|
||||
name: "divideNumbers",
|
||||
description: "Use this function to divide two numbers",
|
||||
parameters: divideJSON,
|
||||
});
|
||||
|
||||
// Create an OpenAIAgent with the function tools
|
||||
const agent = new ReActAgent({
|
||||
tools: [functionTool, functionTool2],
|
||||
verbose: true,
|
||||
});
|
||||
|
||||
const task = agent.createTask("Divide 16 by 2 then add 20");
|
||||
|
||||
let count = 0;
|
||||
|
||||
while (true) {
|
||||
const stepOutput = await agent.runStep(task.taskId);
|
||||
|
||||
console.log(`Runnning step ${count++}`);
|
||||
console.log(`======== OUTPUT ==========`);
|
||||
console.log(stepOutput.output);
|
||||
console.log(`==========================`);
|
||||
|
||||
if (stepOutput.isLast) {
|
||||
const finalResponse = await agent.finalizeResponse(
|
||||
task.taskId,
|
||||
stepOutput,
|
||||
);
|
||||
console.log({ finalResponse });
|
||||
break;
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
main().then(() => {
|
||||
console.log("Done");
|
||||
});
|
||||
@@ -3,7 +3,6 @@ import { Anthropic } from "llamaindex";
|
||||
(async () => {
|
||||
const anthropic = new Anthropic({
|
||||
apiKey: process.env.ANTHROPIC_API_KEY,
|
||||
model: "claude-3-opus",
|
||||
});
|
||||
const result = await anthropic.chat({
|
||||
messages: [
|
||||
@@ -1,34 +0,0 @@
|
||||
import { Anthropic, SimpleChatEngine, SimpleChatHistory } from "llamaindex";
|
||||
import { stdin as input, stdout as output } from "node:process";
|
||||
import readline from "node:readline/promises";
|
||||
|
||||
(async () => {
|
||||
const llm = new Anthropic({
|
||||
apiKey: process.env.ANTHROPIC_API_KEY,
|
||||
model: "claude-3-opus",
|
||||
});
|
||||
// chatHistory will store all the messages in the conversation
|
||||
const chatHistory = new SimpleChatHistory({
|
||||
messages: [
|
||||
{
|
||||
content: "You want to talk in rhymes.",
|
||||
role: "system",
|
||||
},
|
||||
],
|
||||
});
|
||||
const chatEngine = new SimpleChatEngine({
|
||||
llm,
|
||||
chatHistory,
|
||||
});
|
||||
const rl = readline.createInterface({ input, output });
|
||||
|
||||
while (true) {
|
||||
const query = await rl.question("User: ");
|
||||
process.stdout.write("Assistant: ");
|
||||
const stream = await chatEngine.chat({ message: query, stream: true });
|
||||
for await (const chunk of stream) {
|
||||
process.stdout.write(chunk.response);
|
||||
}
|
||||
process.stdout.write("\n");
|
||||
}
|
||||
})();
|
||||
@@ -1,23 +0,0 @@
|
||||
import { Anthropic } from "llamaindex";
|
||||
|
||||
(async () => {
|
||||
const anthropic = new Anthropic({
|
||||
apiKey: process.env.ANTHROPIC_API_KEY,
|
||||
model: "claude-instant-1.2",
|
||||
});
|
||||
const stream = await anthropic.chat({
|
||||
messages: [
|
||||
{ content: "You want to talk in rhymes.", role: "system" },
|
||||
{
|
||||
content:
|
||||
"How much wood would a woodchuck chuck if a woodchuck could chuck wood?",
|
||||
role: "user",
|
||||
},
|
||||
],
|
||||
stream: true,
|
||||
});
|
||||
|
||||
for await (const chunk of stream) {
|
||||
process.stdout.write(chunk.delta);
|
||||
}
|
||||
})();
|
||||
@@ -1,16 +1,5 @@
|
||||
# llamaindex
|
||||
|
||||
## 0.1.20
|
||||
|
||||
### Patch Changes
|
||||
|
||||
- 64683a5: fix: prefix messages always true
|
||||
- 698cd9c: fix: step wise agent + examples
|
||||
- 7257751: fixed removeRefDocNode and persist store on delete
|
||||
- 5116ad8: fix: compatibility issue with Deno
|
||||
- Updated dependencies [5116ad8]
|
||||
- @llamaindex/env@0.0.5
|
||||
|
||||
## 0.1.19
|
||||
|
||||
### Patch Changes
|
||||
|
||||
@@ -1,8 +0,0 @@
|
||||
{
|
||||
"name": "@llamaindex/core",
|
||||
"version": "0.1.20",
|
||||
"exports": "./src/index.ts",
|
||||
"imports": {
|
||||
"@llamaindex/env": "jsr:@llamaindex/env@0.0.5"
|
||||
}
|
||||
}
|
||||
@@ -1,22 +1,22 @@
|
||||
{
|
||||
"name": "llamaindex",
|
||||
"version": "0.1.20",
|
||||
"version": "0.1.19",
|
||||
"license": "MIT",
|
||||
"type": "module",
|
||||
"dependencies": {
|
||||
"@anthropic-ai/sdk": "^0.15.0",
|
||||
"@anthropic-ai/sdk": "^0.13.0",
|
||||
"@aws-crypto/sha256-js": "^5.2.0",
|
||||
"@datastax/astra-db-ts": "^0.1.4",
|
||||
"@types/lodash": "^4.14.202",
|
||||
"@types/node": "^18.19.14",
|
||||
"@types/papaparse": "^5.3.14",
|
||||
"@types/pg": "^8.11.0",
|
||||
"@llamaindex/cloud": "0.0.4",
|
||||
"@llamaindex/env": "workspace:*",
|
||||
"@mistralai/mistralai": "^0.0.10",
|
||||
"@notionhq/client": "^2.2.14",
|
||||
"@pinecone-database/pinecone": "^2.0.1",
|
||||
"@qdrant/js-client-rest": "^1.7.0",
|
||||
"@types/lodash": "^4.14.202",
|
||||
"@types/node": "^18.19.14",
|
||||
"@types/papaparse": "^5.3.14",
|
||||
"@types/pg": "^8.11.0",
|
||||
"@xenova/transformers": "^2.15.0",
|
||||
"assemblyai": "^4.2.2",
|
||||
"chromadb": "~1.7.3",
|
||||
|
||||
@@ -14,7 +14,7 @@ import { AgentState, BaseAgentRunner, TaskState } from "./types.js";
|
||||
|
||||
const validateStepFromArgs = (
|
||||
taskId: string,
|
||||
input?: string | null,
|
||||
input: string,
|
||||
step?: any,
|
||||
kwargs?: any,
|
||||
): TaskStep | undefined => {
|
||||
@@ -24,7 +24,6 @@ const validateStepFromArgs = (
|
||||
}
|
||||
return step;
|
||||
} else {
|
||||
if (!input) return;
|
||||
return new TaskStep(taskId, step, input, kwargs);
|
||||
}
|
||||
};
|
||||
@@ -195,7 +194,7 @@ export class AgentRunner extends BaseAgentRunner {
|
||||
*/
|
||||
async runStep(
|
||||
taskId: string,
|
||||
input?: string | null,
|
||||
input: string,
|
||||
step?: TaskStep,
|
||||
kwargs: any = {},
|
||||
): Promise<TaskStepOutput> {
|
||||
|
||||
@@ -161,13 +161,13 @@ export class TaskStep implements ITaskStep {
|
||||
* @param isLast: isLast
|
||||
*/
|
||||
export class TaskStepOutput {
|
||||
output: any;
|
||||
output: unknown;
|
||||
taskStep: TaskStep;
|
||||
nextSteps: TaskStep[];
|
||||
isLast: boolean;
|
||||
|
||||
constructor(
|
||||
output: any,
|
||||
output: unknown,
|
||||
taskStep: TaskStep,
|
||||
nextSteps: TaskStep[],
|
||||
isLast: boolean = false,
|
||||
|
||||
@@ -1,5 +1,4 @@
|
||||
import type { PlatformApiClient } from "@llamaindex/cloud";
|
||||
import { getEnv } from "@llamaindex/env";
|
||||
import type { ClientParams } from "./types.js";
|
||||
import { DEFAULT_BASE_URL } from "./types.js";
|
||||
|
||||
@@ -8,8 +7,8 @@ export async function getClient({
|
||||
baseUrl,
|
||||
}: ClientParams = {}): Promise<PlatformApiClient> {
|
||||
// Get the environment variables or use defaults
|
||||
baseUrl = baseUrl ?? getEnv("LLAMA_CLOUD_BASE_URL") ?? DEFAULT_BASE_URL;
|
||||
apiKey = apiKey ?? getEnv("LLAMA_CLOUD_API_KEY");
|
||||
baseUrl = baseUrl ?? process.env.LLAMA_CLOUD_BASE_URL ?? DEFAULT_BASE_URL;
|
||||
apiKey = apiKey ?? process.env.LLAMA_CLOUD_API_KEY;
|
||||
|
||||
const { PlatformApiClient } = await import("@llamaindex/cloud");
|
||||
|
||||
|
||||
@@ -20,7 +20,6 @@ export enum HuggingFaceEmbeddingModelType {
|
||||
*/
|
||||
export class HuggingFaceEmbedding extends BaseEmbedding {
|
||||
modelType: string = HuggingFaceEmbeddingModelType.XENOVA_ALL_MINILM_L6_V2;
|
||||
quantized: boolean = true;
|
||||
|
||||
private extractor: any;
|
||||
|
||||
@@ -32,9 +31,7 @@ export class HuggingFaceEmbedding extends BaseEmbedding {
|
||||
async getExtractor() {
|
||||
if (!this.extractor) {
|
||||
const { pipeline } = await import("@xenova/transformers");
|
||||
this.extractor = await pipeline("feature-extraction", this.modelType, {
|
||||
quantized: this.quantized,
|
||||
});
|
||||
this.extractor = await pipeline("feature-extraction", this.modelType);
|
||||
}
|
||||
return this.extractor;
|
||||
}
|
||||
|
||||
@@ -1,10 +1,9 @@
|
||||
import { getEnv } from "@llamaindex/env";
|
||||
import { OpenAIEmbedding } from "./OpenAIEmbedding.js";
|
||||
|
||||
export class FireworksEmbedding extends OpenAIEmbedding {
|
||||
constructor(init?: Partial<OpenAIEmbedding>) {
|
||||
const {
|
||||
apiKey = getEnv("FIREWORKS_API_KEY"),
|
||||
apiKey = process.env.FIREWORKS_API_KEY,
|
||||
additionalSessionOptions = {},
|
||||
model = "nomic-ai/nomic-embed-text-v1.5",
|
||||
...rest
|
||||
|
||||
@@ -1,10 +1,9 @@
|
||||
import { getEnv } from "@llamaindex/env";
|
||||
import { OpenAIEmbedding } from "./OpenAIEmbedding.js";
|
||||
|
||||
export class TogetherEmbedding extends OpenAIEmbedding {
|
||||
constructor(init?: Partial<OpenAIEmbedding>) {
|
||||
const {
|
||||
apiKey = getEnv("TOGETHER_API_KEY"),
|
||||
apiKey = process.env.TOGETHER_API_KEY,
|
||||
additionalSessionOptions = {},
|
||||
model = "togethercomputer/m2-bert-80M-32k-retrieval",
|
||||
...rest
|
||||
|
||||
@@ -1,6 +1,7 @@
|
||||
import type OpenAILLM from "openai";
|
||||
import type { ClientOptions as OpenAIClientOptions } from "openai";
|
||||
import type {
|
||||
AnthropicStreamToken,
|
||||
CallbackManager,
|
||||
Event,
|
||||
EventType,
|
||||
@@ -12,7 +13,11 @@ import type { ChatCompletionMessageParam } from "openai/resources/index.js";
|
||||
import type { LLMOptions } from "portkey-ai";
|
||||
import { Tokenizers, globalsHelper } from "../GlobalsHelper.js";
|
||||
import type { AnthropicSession } from "./anthropic.js";
|
||||
import { getAnthropicSession } from "./anthropic.js";
|
||||
import {
|
||||
ANTHROPIC_AI_PROMPT,
|
||||
ANTHROPIC_HUMAN_PROMPT,
|
||||
getAnthropicSession,
|
||||
} from "./anthropic.js";
|
||||
import type { AzureOpenAIConfig } from "./azure.js";
|
||||
import {
|
||||
getAzureBaseUrl,
|
||||
@@ -255,7 +260,7 @@ export class OpenAI extends BaseLLM {
|
||||
stream: false,
|
||||
});
|
||||
|
||||
const content = response.choices[0].message?.content ?? null;
|
||||
const content = response.choices[0].message?.content ?? "";
|
||||
|
||||
const kwargsOutput: Record<string, any> = {};
|
||||
|
||||
@@ -608,30 +613,12 @@ If a question does not make any sense, or is not factually coherent, explain why
|
||||
}
|
||||
}
|
||||
|
||||
export const ALL_AVAILABLE_ANTHROPIC_LEGACY_MODELS = {
|
||||
"claude-2.1": {
|
||||
contextWindow: 200000,
|
||||
},
|
||||
"claude-instant-1.2": {
|
||||
contextWindow: 100000,
|
||||
},
|
||||
};
|
||||
|
||||
export const ALL_AVAILABLE_V3_MODELS = {
|
||||
"claude-3-opus": { contextWindow: 200000 },
|
||||
"claude-3-sonnet": { contextWindow: 200000 },
|
||||
};
|
||||
|
||||
export const ALL_AVAILABLE_ANTHROPIC_MODELS = {
|
||||
...ALL_AVAILABLE_ANTHROPIC_LEGACY_MODELS,
|
||||
...ALL_AVAILABLE_V3_MODELS,
|
||||
// both models have 100k context window, see https://docs.anthropic.com/claude/reference/selecting-a-model
|
||||
"claude-2": { contextWindow: 200000 },
|
||||
"claude-instant-1": { contextWindow: 100000 },
|
||||
};
|
||||
|
||||
const AVAILABLE_ANTHROPIC_MODELS_WITHOUT_DATE: { [key: string]: string } = {
|
||||
"claude-3-opus": "claude-3-opus-20240229",
|
||||
"claude-3-sonnet": "claude-3-sonnet-20240229",
|
||||
} as { [key in keyof typeof ALL_AVAILABLE_ANTHROPIC_MODELS]: string };
|
||||
|
||||
/**
|
||||
* Anthropic LLM implementation
|
||||
*/
|
||||
@@ -653,7 +640,7 @@ export class Anthropic extends BaseLLM {
|
||||
|
||||
constructor(init?: Partial<Anthropic>) {
|
||||
super();
|
||||
this.model = init?.model ?? "claude-3-opus";
|
||||
this.model = init?.model ?? "claude-2";
|
||||
this.temperature = init?.temperature ?? 0.1;
|
||||
this.topP = init?.topP ?? 0.999; // Per Ben Mann
|
||||
this.maxTokens = init?.maxTokens ?? undefined;
|
||||
@@ -687,24 +674,21 @@ export class Anthropic extends BaseLLM {
|
||||
};
|
||||
}
|
||||
|
||||
getModelName = (model: string): string => {
|
||||
if (Object.keys(AVAILABLE_ANTHROPIC_MODELS_WITHOUT_DATE).includes(model)) {
|
||||
return AVAILABLE_ANTHROPIC_MODELS_WITHOUT_DATE[model];
|
||||
}
|
||||
return model;
|
||||
};
|
||||
|
||||
formatMessages(messages: ChatMessage[]) {
|
||||
return messages.map((message) => {
|
||||
if (message.role !== "user" && message.role !== "assistant") {
|
||||
throw new Error("Unsupported Anthropic role");
|
||||
}
|
||||
|
||||
return {
|
||||
content: message.content,
|
||||
role: message.role,
|
||||
};
|
||||
});
|
||||
mapMessagesToPrompt(messages: ChatMessage[]) {
|
||||
return (
|
||||
messages.reduce((acc, message) => {
|
||||
return (
|
||||
acc +
|
||||
`${
|
||||
message.role === "system"
|
||||
? ""
|
||||
: message.role === "assistant"
|
||||
? ANTHROPIC_AI_PROMPT + " "
|
||||
: ANTHROPIC_HUMAN_PROMPT + " "
|
||||
}${message.content.trim()}`
|
||||
);
|
||||
}, "") + ANTHROPIC_AI_PROMPT
|
||||
);
|
||||
}
|
||||
|
||||
chat(
|
||||
@@ -714,67 +698,49 @@ export class Anthropic extends BaseLLM {
|
||||
async chat(
|
||||
params: LLMChatParamsNonStreaming | LLMChatParamsStreaming,
|
||||
): Promise<ChatResponse | AsyncIterable<ChatResponseChunk>> {
|
||||
let { messages } = params;
|
||||
|
||||
const { parentEvent, stream } = params;
|
||||
|
||||
let systemPrompt: string | null = null;
|
||||
|
||||
const systemMessages = messages.filter(
|
||||
(message) => message.role === "system",
|
||||
);
|
||||
|
||||
if (systemMessages.length > 0) {
|
||||
systemPrompt = systemMessages
|
||||
.map((message) => message.content)
|
||||
.join("\n");
|
||||
messages = messages.filter((message) => message.role !== "system");
|
||||
}
|
||||
|
||||
const { messages, parentEvent, stream } = params;
|
||||
//Streaming
|
||||
if (stream) {
|
||||
return this.streamChat(messages, parentEvent, systemPrompt);
|
||||
return this.streamChat(messages, parentEvent);
|
||||
}
|
||||
|
||||
//Non-streaming
|
||||
const response = await this.session.anthropic.messages.create({
|
||||
model: this.getModelName(this.model),
|
||||
messages: this.formatMessages(messages),
|
||||
max_tokens: this.maxTokens ?? 4096,
|
||||
const response = await this.session.anthropic.completions.create({
|
||||
model: this.model,
|
||||
prompt: this.mapMessagesToPrompt(messages),
|
||||
max_tokens_to_sample: this.maxTokens ?? 100000,
|
||||
temperature: this.temperature,
|
||||
top_p: this.topP,
|
||||
...(systemPrompt && { system: systemPrompt }),
|
||||
});
|
||||
|
||||
return {
|
||||
message: { content: response.content[0].text, role: "assistant" },
|
||||
message: { content: response.completion.trimStart(), role: "assistant" },
|
||||
//^ We're trimming the start because Anthropic often starts with a space in the response
|
||||
// That space will be re-added when we generate the next prompt.
|
||||
};
|
||||
}
|
||||
|
||||
protected async *streamChat(
|
||||
messages: ChatMessage[],
|
||||
parentEvent?: Event | undefined,
|
||||
systemPrompt?: string | null,
|
||||
): AsyncIterable<ChatResponseChunk> {
|
||||
const stream = await this.session.anthropic.messages.create({
|
||||
model: this.getModelName(this.model),
|
||||
messages: this.formatMessages(messages),
|
||||
max_tokens: this.maxTokens ?? 4096,
|
||||
temperature: this.temperature,
|
||||
top_p: this.topP,
|
||||
stream: true,
|
||||
...(systemPrompt && { system: systemPrompt }),
|
||||
});
|
||||
// AsyncIterable<AnthropicStreamToken>
|
||||
const stream: AsyncIterable<AnthropicStreamToken> =
|
||||
await this.session.anthropic.completions.create({
|
||||
model: this.model,
|
||||
prompt: this.mapMessagesToPrompt(messages),
|
||||
max_tokens_to_sample: this.maxTokens ?? 100000,
|
||||
temperature: this.temperature,
|
||||
top_p: this.topP,
|
||||
stream: true,
|
||||
});
|
||||
|
||||
let idx_counter: number = 0;
|
||||
for await (const part of stream) {
|
||||
const content =
|
||||
part.type === "content_block_delta" ? part.delta.text : null;
|
||||
|
||||
if (typeof content !== "string") continue;
|
||||
//TODO: LLM Stream Callback, pending re-work.
|
||||
|
||||
idx_counter++;
|
||||
yield { delta: content };
|
||||
yield { delta: part.completion };
|
||||
}
|
||||
return;
|
||||
}
|
||||
|
||||
@@ -1,6 +1,5 @@
|
||||
import type { ClientOptions } from "@anthropic-ai/sdk";
|
||||
import Anthropic, { AI_PROMPT, HUMAN_PROMPT } from "@anthropic-ai/sdk";
|
||||
import { getEnv } from "@llamaindex/env";
|
||||
import _ from "lodash";
|
||||
|
||||
export class AnthropicSession {
|
||||
@@ -8,7 +7,9 @@ export class AnthropicSession {
|
||||
|
||||
constructor(options: ClientOptions = {}) {
|
||||
if (!options.apiKey) {
|
||||
options.apiKey = getEnv("ANTHROPIC_API_KEY");
|
||||
if (typeof process !== undefined) {
|
||||
options.apiKey = process.env.ANTHROPIC_API_KEY;
|
||||
}
|
||||
}
|
||||
|
||||
if (!options.apiKey) {
|
||||
|
||||
@@ -1,5 +1,3 @@
|
||||
import { getEnv } from "@llamaindex/env";
|
||||
|
||||
export interface AzureOpenAIConfig {
|
||||
apiKey?: string;
|
||||
endpoint?: string;
|
||||
@@ -69,24 +67,24 @@ export function getAzureConfigFromEnv(
|
||||
return {
|
||||
apiKey:
|
||||
init?.apiKey ??
|
||||
getEnv("AZURE_OPENAI_KEY") ?? // From Azure docs
|
||||
getEnv("OPENAI_API_KEY") ?? // Python compatible
|
||||
getEnv("AZURE_OPENAI_API_KEY"), // LCJS compatible
|
||||
process.env.AZURE_OPENAI_KEY ?? // From Azure docs
|
||||
process.env.OPENAI_API_KEY ?? // Python compatible
|
||||
process.env.AZURE_OPENAI_API_KEY, // LCJS compatible
|
||||
endpoint:
|
||||
init?.endpoint ??
|
||||
getEnv("AZURE_OPENAI_ENDPOINT") ?? // From Azure docs
|
||||
getEnv("OPENAI_API_BASE") ?? // Python compatible
|
||||
getEnv("AZURE_OPENAI_API_INSTANCE_NAME"), // LCJS compatible
|
||||
process.env.AZURE_OPENAI_ENDPOINT ?? // From Azure docs
|
||||
process.env.OPENAI_API_BASE ?? // Python compatible
|
||||
process.env.AZURE_OPENAI_API_INSTANCE_NAME, // LCJS compatible
|
||||
apiVersion:
|
||||
init?.apiVersion ??
|
||||
getEnv("AZURE_OPENAI_API_VERSION") ?? // From Azure docs
|
||||
getEnv("OPENAI_API_VERSION") ?? // Python compatible
|
||||
getEnv("AZURE_OPENAI_API_VERSION") ?? // LCJS compatible
|
||||
process.env.AZURE_OPENAI_API_VERSION ?? // From Azure docs
|
||||
process.env.OPENAI_API_VERSION ?? // Python compatible
|
||||
process.env.AZURE_OPENAI_API_VERSION ?? // LCJS compatible
|
||||
DEFAULT_API_VERSION,
|
||||
deploymentName:
|
||||
init?.deploymentName ??
|
||||
getEnv("AZURE_OPENAI_DEPLOYMENT") ?? // From Azure docs
|
||||
getEnv("AZURE_OPENAI_API_DEPLOYMENT_NAME") ?? // LCJS compatible
|
||||
process.env.AZURE_OPENAI_DEPLOYMENT ?? // From Azure docs
|
||||
process.env.AZURE_OPENAI_API_DEPLOYMENT_NAME ?? // LCJS compatible
|
||||
init?.model, // Fall back to model name, Python compatible
|
||||
};
|
||||
}
|
||||
@@ -115,8 +113,8 @@ export function getAzureModel(openAIModel: string) {
|
||||
|
||||
export function shouldUseAzure() {
|
||||
return (
|
||||
getEnv("AZURE_OPENAI_ENDPOINT") ||
|
||||
getEnv("AZURE_OPENAI_API_INSTANCE_NAME") ||
|
||||
getEnv("OPENAI_API_TYPE") === "azure"
|
||||
process.env.AZURE_OPENAI_ENDPOINT ||
|
||||
process.env.AZURE_OPENAI_API_INSTANCE_NAME ||
|
||||
process.env.OPENAI_API_TYPE === "azure"
|
||||
);
|
||||
}
|
||||
|
||||
@@ -1,10 +1,9 @@
|
||||
import { getEnv } from "@llamaindex/env";
|
||||
import { OpenAI } from "./LLM.js";
|
||||
|
||||
export class FireworksLLM extends OpenAI {
|
||||
constructor(init?: Partial<OpenAI>) {
|
||||
const {
|
||||
apiKey = getEnv("FIREWORKS_API_KEY"),
|
||||
apiKey = process.env.FIREWORKS_API_KEY,
|
||||
additionalSessionOptions = {},
|
||||
model = "accounts/fireworks/models/mixtral-8x7b-instruct",
|
||||
...rest
|
||||
|
||||
@@ -1,10 +1,9 @@
|
||||
import { getEnv } from "@llamaindex/env";
|
||||
import { OpenAI } from "./LLM.js";
|
||||
|
||||
export class Groq extends OpenAI {
|
||||
constructor(init?: Partial<OpenAI>) {
|
||||
const {
|
||||
apiKey = getEnv("GROQ_API_KEY"),
|
||||
apiKey = process.env.GROQ_API_KEY,
|
||||
additionalSessionOptions = {},
|
||||
model = "mixtral-8x7b-32768",
|
||||
...rest
|
||||
|
||||
@@ -1,4 +1,3 @@
|
||||
import { getEnv } from "@llamaindex/env";
|
||||
import type {
|
||||
CallbackManager,
|
||||
Event,
|
||||
@@ -28,7 +27,9 @@ export class MistralAISession {
|
||||
if (init?.apiKey) {
|
||||
this.apiKey = init?.apiKey;
|
||||
} else {
|
||||
this.apiKey = getEnv("MISTRAL_API_KEY");
|
||||
if (typeof process !== undefined) {
|
||||
this.apiKey = process.env.MISTRAL_API_KEY;
|
||||
}
|
||||
}
|
||||
if (!this.apiKey) {
|
||||
throw new Error("Set Mistral API key in MISTRAL_API_KEY env variable"); // Overriding MistralAI package's error message
|
||||
|
||||
@@ -1,4 +1,3 @@
|
||||
import { getEnv } from "@llamaindex/env";
|
||||
import _ from "lodash";
|
||||
import type { ClientOptions } from "openai";
|
||||
import OpenAI from "openai";
|
||||
@@ -14,7 +13,9 @@ export class OpenAISession {
|
||||
|
||||
constructor(options: ClientOptions & { azure?: boolean } = {}) {
|
||||
if (!options.apiKey) {
|
||||
options.apiKey = getEnv("OPENAI_API_KEY");
|
||||
if (typeof process !== undefined) {
|
||||
options.apiKey = process.env.OPENAI_API_KEY;
|
||||
}
|
||||
}
|
||||
|
||||
if (!options.apiKey) {
|
||||
|
||||
@@ -1,8 +1,17 @@
|
||||
import { getEnv } from "@llamaindex/env";
|
||||
import _ from "lodash";
|
||||
import type { LLMOptions } from "portkey-ai";
|
||||
import { Portkey } from "portkey-ai";
|
||||
|
||||
export const readEnv = (
|
||||
env: string,
|
||||
default_val?: string,
|
||||
): string | undefined => {
|
||||
if (typeof process !== "undefined") {
|
||||
return process.env?.[env] ?? default_val;
|
||||
}
|
||||
return default_val;
|
||||
};
|
||||
|
||||
interface PortkeyOptions {
|
||||
apiKey?: string;
|
||||
baseURL?: string;
|
||||
@@ -15,11 +24,11 @@ export class PortkeySession {
|
||||
|
||||
constructor(options: PortkeyOptions = {}) {
|
||||
if (!options.apiKey) {
|
||||
options.apiKey = getEnv("PORTKEY_API_KEY");
|
||||
options.apiKey = readEnv("PORTKEY_API_KEY");
|
||||
}
|
||||
|
||||
if (!options.baseURL) {
|
||||
options.baseURL = getEnv("PORTKEY_BASE_URL") ?? "https://api.portkey.ai";
|
||||
options.baseURL = readEnv("PORTKEY_BASE_URL", "https://api.portkey.ai");
|
||||
}
|
||||
|
||||
this.portkey = new Portkey({});
|
||||
|
||||
@@ -1,4 +1,3 @@
|
||||
import { getEnv } from "@llamaindex/env";
|
||||
import Replicate from "replicate";
|
||||
|
||||
export class ReplicateSession {
|
||||
@@ -8,8 +7,8 @@ export class ReplicateSession {
|
||||
constructor(replicateKey: string | null = null) {
|
||||
if (replicateKey) {
|
||||
this.replicateKey = replicateKey;
|
||||
} else if (getEnv("REPLICATE_API_TOKEN")) {
|
||||
this.replicateKey = getEnv("REPLICATE_API_TOKEN") as string;
|
||||
} else if (process.env.REPLICATE_API_TOKEN) {
|
||||
this.replicateKey = process.env.REPLICATE_API_TOKEN;
|
||||
} else {
|
||||
throw new Error(
|
||||
"Set Replicate token in REPLICATE_API_TOKEN env variable",
|
||||
|
||||
@@ -1,10 +1,9 @@
|
||||
import { getEnv } from "@llamaindex/env";
|
||||
import { OpenAI } from "./LLM.js";
|
||||
|
||||
export class TogetherLLM extends OpenAI {
|
||||
constructor(init?: Partial<OpenAI>) {
|
||||
const {
|
||||
apiKey = getEnv("TOGETHER_API_KEY"),
|
||||
apiKey = process.env.TOGETHER_API_KEY,
|
||||
additionalSessionOptions = {},
|
||||
model = "togethercomputer/llama-2-7b-chat",
|
||||
...rest
|
||||
|
||||
@@ -1,4 +1,3 @@
|
||||
import { getEnv } from "@llamaindex/env";
|
||||
import type {
|
||||
BaseServiceParams,
|
||||
SubtitleFormat,
|
||||
@@ -29,7 +28,7 @@ abstract class AssemblyAIReader implements BaseReader {
|
||||
options = {};
|
||||
}
|
||||
if (!options.apiKey) {
|
||||
options.apiKey = getEnv("ASSEMBLYAI_API_KEY");
|
||||
options.apiKey = process.env.ASSEMBLYAI_API_KEY;
|
||||
}
|
||||
if (!options.apiKey) {
|
||||
throw new Error(
|
||||
|
||||
@@ -1,4 +1,5 @@
|
||||
import { defaultFS, getEnv, type GenericFileSystem } from "@llamaindex/env";
|
||||
import type { GenericFileSystem } from "@llamaindex/env";
|
||||
import { defaultFS } from "@llamaindex/env";
|
||||
import { Document } from "../Node.js";
|
||||
import type { FileReader } from "./type.js";
|
||||
|
||||
@@ -23,7 +24,7 @@ export class LlamaParseReader implements FileReader {
|
||||
|
||||
constructor(params: Partial<LlamaParseReader> = {}) {
|
||||
Object.assign(this, params);
|
||||
params.apiKey = params.apiKey ?? getEnv("LLAMA_CLOUD_API_KEY");
|
||||
params.apiKey = params.apiKey ?? process.env.LLAMA_CLOUD_API_KEY;
|
||||
if (!params.apiKey) {
|
||||
throw new Error(
|
||||
"API Key is required for LlamaParseReader. Please pass the apiKey parameter or set the LLAMA_CLOUD_API_KEY environment variable.",
|
||||
|
||||
@@ -1,6 +1,5 @@
|
||||
import { AstraDB } from "@datastax/astra-db-ts";
|
||||
import type { Collection } from "@datastax/astra-db-ts/dist/collections";
|
||||
import { getEnv } from "@llamaindex/env";
|
||||
import type { BaseNode } from "../../Node.js";
|
||||
import { MetadataMode } from "../../Node.js";
|
||||
import type {
|
||||
@@ -35,8 +34,9 @@ export class AstraDBVectorStore implements VectorStore {
|
||||
if (init?.astraDBClient) {
|
||||
this.astraDBClient = init.astraDBClient;
|
||||
} else {
|
||||
const token = init?.params?.token ?? getEnv("ASTRA_DB_APPLICATION_TOKEN");
|
||||
const endpoint = init?.params?.endpoint ?? getEnv("ASTRA_DB_ENDPOINT");
|
||||
const token =
|
||||
init?.params?.token ?? process.env.ASTRA_DB_APPLICATION_TOKEN;
|
||||
const endpoint = init?.params?.endpoint ?? process.env.ASTRA_DB_ENDPOINT;
|
||||
|
||||
if (!token) {
|
||||
throw new Error(
|
||||
@@ -48,7 +48,7 @@ export class AstraDBVectorStore implements VectorStore {
|
||||
}
|
||||
const namespace =
|
||||
init?.params?.namespace ??
|
||||
getEnv("ASTRA_DB_NAMESPACE") ??
|
||||
process.env.ASTRA_DB_NAMESPACE ??
|
||||
"default_keyspace";
|
||||
this.astraDBClient = new AstraDB(token, endpoint, namespace);
|
||||
}
|
||||
|
||||
@@ -1,4 +1,3 @@
|
||||
import { getEnv } from "@llamaindex/env";
|
||||
import type { BulkWriteOptions, Collection } from "mongodb";
|
||||
import { MongoClient } from "mongodb";
|
||||
import type { BaseNode } from "../../Node.js";
|
||||
@@ -45,7 +44,7 @@ export class MongoDBAtlasVectorSearch implements VectorStore {
|
||||
if (init.mongodbClient) {
|
||||
this.mongodbClient = init.mongodbClient;
|
||||
} else {
|
||||
const mongoUri = getEnv("MONGODB_URI");
|
||||
const mongoUri = process.env.MONGODB_URI;
|
||||
if (!mongoUri) {
|
||||
throw new Error(
|
||||
"Must specify MONGODB_URI via env variable if not directly passing in client.",
|
||||
|
||||
@@ -6,7 +6,7 @@ import type {
|
||||
VectorStoreQueryResult,
|
||||
} from "./types.js";
|
||||
|
||||
import { getEnv, type GenericFileSystem } from "@llamaindex/env";
|
||||
import type { GenericFileSystem } from "@llamaindex/env";
|
||||
import type {
|
||||
FetchResponse,
|
||||
Index,
|
||||
@@ -45,11 +45,11 @@ export class PineconeVectorStore implements VectorStore {
|
||||
|
||||
constructor(params?: PineconeParams) {
|
||||
this.indexName =
|
||||
params?.indexName ?? getEnv("PINECONE_INDEX_NAME") ?? "llama";
|
||||
this.namespace = params?.namespace ?? getEnv("PINECONE_NAMESPACE") ?? "";
|
||||
params?.indexName ?? process.env.PINECONE_INDEX_NAME ?? "llama";
|
||||
this.namespace = params?.namespace ?? process.env.PINECONE_NAMESPACE ?? "";
|
||||
this.chunkSize =
|
||||
params?.chunkSize ??
|
||||
Number.parseInt(getEnv("PINECONE_CHUNK_SIZE") ?? "100");
|
||||
Number.parseInt(process.env.PINECONE_CHUNK_SIZE ?? "100");
|
||||
this.textKey = params?.textKey ?? "text";
|
||||
}
|
||||
|
||||
|
||||
@@ -6,13 +6,5 @@
|
||||
"moduleResolution": "node16",
|
||||
"target": "ESNext"
|
||||
},
|
||||
"include": ["./**/*.ts"],
|
||||
"references": [
|
||||
{
|
||||
"path": "../../core/tsconfig.json"
|
||||
},
|
||||
{
|
||||
"path": "../../env/tsconfig.json"
|
||||
}
|
||||
]
|
||||
"include": ["./**/*.ts"]
|
||||
}
|
||||
|
||||
@@ -3,7 +3,6 @@
|
||||
"compilerOptions": {
|
||||
"rootDir": "./src",
|
||||
"outDir": "./dist/type",
|
||||
"tsBuildInfoFile": "./dist/.tsbuildinfo",
|
||||
"emitDeclarationOnly": true,
|
||||
"module": "node16",
|
||||
"moduleResolution": "node16",
|
||||
@@ -11,10 +10,5 @@
|
||||
"strict": true
|
||||
},
|
||||
"include": ["./src"],
|
||||
"exclude": ["node_modules"],
|
||||
"references": [
|
||||
{
|
||||
"path": "../env/tsconfig.json"
|
||||
}
|
||||
]
|
||||
"exclude": ["node_modules"]
|
||||
}
|
||||
|
||||
Vendored
-6
@@ -1,11 +1,5 @@
|
||||
# @llamaindex/env
|
||||
|
||||
## 0.0.5
|
||||
|
||||
### Patch Changes
|
||||
|
||||
- 5116ad8: fix: compatibility issue with Deno
|
||||
|
||||
## 0.0.4
|
||||
|
||||
### Patch Changes
|
||||
|
||||
Vendored
-8
@@ -1,8 +0,0 @@
|
||||
{
|
||||
"name": "@llamaindex/env",
|
||||
"version": "0.0.5",
|
||||
"exports": {
|
||||
".": "./src/index.ts",
|
||||
"./type": "./src/type.ts"
|
||||
}
|
||||
}
|
||||
Vendored
+1
-1
@@ -1,7 +1,7 @@
|
||||
{
|
||||
"name": "@llamaindex/env",
|
||||
"description": "environment wrapper",
|
||||
"version": "0.0.5",
|
||||
"version": "0.0.4",
|
||||
"type": "module",
|
||||
"types": "dist/type/index.d.ts",
|
||||
"main": "dist/cjs/index.js",
|
||||
|
||||
Vendored
-1
@@ -39,4 +39,3 @@ export function randomUUID(): string {
|
||||
return crypto.randomUUID();
|
||||
}
|
||||
export * from "./type.js";
|
||||
export { getEnv } from "./utils.js";
|
||||
|
||||
Vendored
+1
-2
@@ -34,6 +34,5 @@ export const defaultFS: CompleteFileSystem = {
|
||||
stat: fs.stat,
|
||||
};
|
||||
|
||||
export type * from "./type.js";
|
||||
export { getEnv } from "./utils.js";
|
||||
export * from "./type.js";
|
||||
export { EOL, ok, path, randomUUID };
|
||||
|
||||
Vendored
+2
-1
@@ -58,8 +58,9 @@ export class InMemoryFileSystem implements CompleteFileSystem {
|
||||
}
|
||||
}
|
||||
|
||||
async mkdir(path: string): Promise<undefined> {
|
||||
async mkdir(path: string) {
|
||||
this.files[path] = _.get(this.files, path, null);
|
||||
return undefined;
|
||||
}
|
||||
|
||||
async readdir(path: string): Promise<string[]> {
|
||||
|
||||
Vendored
-12
@@ -1,12 +0,0 @@
|
||||
export function getEnv(name: string): string | undefined {
|
||||
if (typeof process === "undefined" || typeof process.env === "undefined") {
|
||||
// @ts-expect-error
|
||||
if (typeof Deno === "undefined") {
|
||||
throw new Error("Current environment is not supported");
|
||||
} else {
|
||||
// @ts-expect-error
|
||||
return Deno.env.get(name);
|
||||
}
|
||||
}
|
||||
return process.env[name];
|
||||
}
|
||||
Vendored
-1
@@ -3,7 +3,6 @@
|
||||
"compilerOptions": {
|
||||
"rootDir": "./src",
|
||||
"outDir": "./dist/type",
|
||||
"tsBuildInfoFile": "./dist/.tsbuildinfo",
|
||||
"emitDeclarationOnly": true,
|
||||
"module": "node16",
|
||||
"moduleResolution": "node16",
|
||||
|
||||
Generated
+79
-178
@@ -53,7 +53,7 @@ importers:
|
||||
version: link:../../packages/env
|
||||
'@mdx-js/react':
|
||||
specifier: ^3.0.0
|
||||
version: 3.0.0(@types/react@18.2.61)(react@18.2.0)
|
||||
version: 3.0.0(@types/react@18.2.55)(react@18.2.0)
|
||||
clsx:
|
||||
specifier: ^2.1.0
|
||||
version: 2.1.0
|
||||
@@ -65,7 +65,7 @@ importers:
|
||||
version: 2.3.1(react@18.2.0)
|
||||
raw-loader:
|
||||
specifier: ^4.0.2
|
||||
version: 4.0.2(webpack@5.90.3)
|
||||
version: 4.0.2(webpack@5.90.1)
|
||||
react:
|
||||
specifier: ^18.2.0
|
||||
version: 18.2.0
|
||||
@@ -78,10 +78,10 @@ importers:
|
||||
version: 3.1.0(react-dom@18.2.0)(react@18.2.0)
|
||||
'@docusaurus/preset-classic':
|
||||
specifier: ^3.1.1
|
||||
version: 3.1.1(@algolia/client-search@4.22.1)(@types/react@18.2.61)(eslint@8.56.0)(react-dom@18.2.0)(react@18.2.0)(search-insights@2.13.0)(typescript@5.3.3)
|
||||
version: 3.1.1(@algolia/client-search@4.22.1)(@types/react@18.2.55)(eslint@8.56.0)(react-dom@18.2.0)(react@18.2.0)(search-insights@2.13.0)(typescript@5.3.3)
|
||||
'@docusaurus/theme-classic':
|
||||
specifier: ^3.1.1
|
||||
version: 3.1.1(@types/react@18.2.61)(eslint@8.56.0)(react-dom@18.2.0)(react@18.2.0)(typescript@5.3.3)
|
||||
version: 3.1.1(@types/react@18.2.55)(eslint@8.56.0)(react-dom@18.2.0)(react@18.2.0)(typescript@5.3.3)
|
||||
'@docusaurus/types':
|
||||
specifier: ^3.1.1
|
||||
version: 3.1.1(react-dom@18.2.0)(react@18.2.0)
|
||||
@@ -160,8 +160,8 @@ importers:
|
||||
packages/core:
|
||||
dependencies:
|
||||
'@anthropic-ai/sdk':
|
||||
specifier: ^0.15.0
|
||||
version: 0.15.0
|
||||
specifier: ^0.13.0
|
||||
version: 0.13.0
|
||||
'@aws-crypto/sha256-js':
|
||||
specifier: ^5.2.0
|
||||
version: 5.2.0
|
||||
@@ -406,16 +406,16 @@ importers:
|
||||
dependencies:
|
||||
eslint-config-next:
|
||||
specifier: ^13.5.6
|
||||
version: 13.5.6(eslint@8.57.0)(typescript@5.3.3)
|
||||
version: 13.5.6(eslint@8.56.0)(typescript@5.3.3)
|
||||
eslint-config-prettier:
|
||||
specifier: ^8.10.0
|
||||
version: 8.10.0(eslint@8.57.0)
|
||||
version: 8.10.0(eslint@8.56.0)
|
||||
eslint-config-turbo:
|
||||
specifier: ^1.11.3
|
||||
version: 1.11.3(eslint@8.57.0)
|
||||
version: 1.11.3(eslint@8.56.0)
|
||||
eslint-plugin-react:
|
||||
specifier: 7.28.0
|
||||
version: 7.28.0(eslint@8.57.0)
|
||||
version: 7.28.0(eslint@8.56.0)
|
||||
devDependencies:
|
||||
next:
|
||||
specifier: ^13.5.6
|
||||
@@ -574,8 +574,8 @@ packages:
|
||||
'@jridgewell/gen-mapping': 0.3.3
|
||||
'@jridgewell/trace-mapping': 0.3.22
|
||||
|
||||
/@anthropic-ai/sdk@0.15.0:
|
||||
resolution: {integrity: sha512-QMNEFcwGGB64oEIL+U9b+mxSbat5TCdNxvQVV0qCNGQvg/nlnbOmq2/x/0mKhuKD0n5bioL75oCkTbQaAgyYtw==}
|
||||
/@anthropic-ai/sdk@0.13.0:
|
||||
resolution: {integrity: sha512-wn315W4tCfCO+Z6FMa/67HgdgaWbjs4ie0Zbx5A6lq8RPEA3sEDknYzw0gCIrSlnSgRHxvUP/bT9KncFmOrmTg==}
|
||||
dependencies:
|
||||
'@types/node': 18.19.14
|
||||
'@types/node-fetch': 2.6.9
|
||||
@@ -2055,7 +2055,7 @@ packages:
|
||||
resolution: {integrity: sha512-SPiDHaWKQZpwR2siD0KQUwlStvIAnEyK6tAE2h2Wuoq8ue9skzhlyVQ1ddzOxX6khULnAALDiR/isSF3bnuciA==}
|
||||
dev: true
|
||||
|
||||
/@docsearch/react@3.5.2(@algolia/client-search@4.22.1)(@types/react@18.2.61)(react-dom@18.2.0)(react@18.2.0)(search-insights@2.13.0):
|
||||
/@docsearch/react@3.5.2(@algolia/client-search@4.22.1)(@types/react@18.2.55)(react-dom@18.2.0)(react@18.2.0)(search-insights@2.13.0):
|
||||
resolution: {integrity: sha512-9Ahcrs5z2jq/DcAvYtvlqEBHImbm4YJI8M9y0x6Tqg598P40HTEkX7hsMcIuThI+hTFxRGZ9hll0Wygm2yEjng==}
|
||||
peerDependencies:
|
||||
'@types/react': '>= 16.8.0 < 19.0.0'
|
||||
@@ -2075,7 +2075,7 @@ packages:
|
||||
'@algolia/autocomplete-core': 1.9.3(@algolia/client-search@4.22.1)(algoliasearch@4.22.1)(search-insights@2.13.0)
|
||||
'@algolia/autocomplete-preset-algolia': 1.9.3(@algolia/client-search@4.22.1)(algoliasearch@4.22.1)
|
||||
'@docsearch/css': 3.5.2
|
||||
'@types/react': 18.2.61
|
||||
'@types/react': 18.2.55
|
||||
algoliasearch: 4.22.1
|
||||
react: 18.2.0
|
||||
react-dom: 18.2.0(react@18.2.0)
|
||||
@@ -2581,7 +2581,7 @@ packages:
|
||||
- webpack-cli
|
||||
dev: true
|
||||
|
||||
/@docusaurus/preset-classic@3.1.1(@algolia/client-search@4.22.1)(@types/react@18.2.61)(eslint@8.56.0)(react-dom@18.2.0)(react@18.2.0)(search-insights@2.13.0)(typescript@5.3.3):
|
||||
/@docusaurus/preset-classic@3.1.1(@algolia/client-search@4.22.1)(@types/react@18.2.55)(eslint@8.56.0)(react-dom@18.2.0)(react@18.2.0)(search-insights@2.13.0)(typescript@5.3.3):
|
||||
resolution: {integrity: sha512-jG4ys/hWYf69iaN/xOmF+3kjs4Nnz1Ay3CjFLDtYa8KdxbmUhArA9HmP26ru5N0wbVWhY+6kmpYhTJpez5wTyg==}
|
||||
engines: {node: '>=18.0'}
|
||||
peerDependencies:
|
||||
@@ -2597,9 +2597,9 @@ packages:
|
||||
'@docusaurus/plugin-google-gtag': 3.1.1(eslint@8.56.0)(react-dom@18.2.0)(react@18.2.0)(typescript@5.3.3)
|
||||
'@docusaurus/plugin-google-tag-manager': 3.1.1(eslint@8.56.0)(react-dom@18.2.0)(react@18.2.0)(typescript@5.3.3)
|
||||
'@docusaurus/plugin-sitemap': 3.1.1(eslint@8.56.0)(react-dom@18.2.0)(react@18.2.0)(typescript@5.3.3)
|
||||
'@docusaurus/theme-classic': 3.1.1(@types/react@18.2.61)(eslint@8.56.0)(react-dom@18.2.0)(react@18.2.0)(typescript@5.3.3)
|
||||
'@docusaurus/theme-classic': 3.1.1(@types/react@18.2.55)(eslint@8.56.0)(react-dom@18.2.0)(react@18.2.0)(typescript@5.3.3)
|
||||
'@docusaurus/theme-common': 3.1.1(@docusaurus/types@3.1.1)(eslint@8.56.0)(react-dom@18.2.0)(react@18.2.0)(typescript@5.3.3)
|
||||
'@docusaurus/theme-search-algolia': 3.1.1(@algolia/client-search@4.22.1)(@docusaurus/types@3.1.1)(@types/react@18.2.61)(eslint@8.56.0)(react-dom@18.2.0)(react@18.2.0)(search-insights@2.13.0)(typescript@5.3.3)
|
||||
'@docusaurus/theme-search-algolia': 3.1.1(@algolia/client-search@4.22.1)(@docusaurus/types@3.1.1)(@types/react@18.2.55)(eslint@8.56.0)(react-dom@18.2.0)(react@18.2.0)(search-insights@2.13.0)(typescript@5.3.3)
|
||||
'@docusaurus/types': 3.1.1(react-dom@18.2.0)(react@18.2.0)
|
||||
react: 18.2.0
|
||||
react-dom: 18.2.0(react@18.2.0)
|
||||
@@ -2630,7 +2630,7 @@ packages:
|
||||
peerDependencies:
|
||||
react: '*'
|
||||
dependencies:
|
||||
'@types/react': 18.2.48
|
||||
'@types/react': 18.2.55
|
||||
prop-types: 15.8.1
|
||||
react: 18.2.0
|
||||
|
||||
@@ -2647,7 +2647,7 @@ packages:
|
||||
- supports-color
|
||||
dev: false
|
||||
|
||||
/@docusaurus/theme-classic@3.1.1(@types/react@18.2.61)(eslint@8.56.0)(react-dom@18.2.0)(react@18.2.0)(typescript@5.3.3):
|
||||
/@docusaurus/theme-classic@3.1.1(@types/react@18.2.55)(eslint@8.56.0)(react-dom@18.2.0)(react@18.2.0)(typescript@5.3.3):
|
||||
resolution: {integrity: sha512-GiPE/jbWM8Qv1A14lk6s9fhc0LhPEQ00eIczRO4QL2nAQJZXkjPG6zaVx+1cZxPFWbAsqSjKe2lqkwF3fGkQ7Q==}
|
||||
engines: {node: '>=18.0'}
|
||||
peerDependencies:
|
||||
@@ -2666,7 +2666,7 @@ packages:
|
||||
'@docusaurus/utils': 3.1.1(@docusaurus/types@3.1.1)
|
||||
'@docusaurus/utils-common': 3.1.1(@docusaurus/types@3.1.1)
|
||||
'@docusaurus/utils-validation': 3.1.1(@docusaurus/types@3.1.1)
|
||||
'@mdx-js/react': 3.0.0(@types/react@18.2.61)(react@18.2.0)
|
||||
'@mdx-js/react': 3.0.0(@types/react@18.2.55)(react@18.2.0)
|
||||
clsx: 2.1.0
|
||||
copy-text-to-clipboard: 3.2.0
|
||||
infima: 0.2.0-alpha.43
|
||||
@@ -2745,14 +2745,14 @@ packages:
|
||||
- webpack-cli
|
||||
dev: true
|
||||
|
||||
/@docusaurus/theme-search-algolia@3.1.1(@algolia/client-search@4.22.1)(@docusaurus/types@3.1.1)(@types/react@18.2.61)(eslint@8.56.0)(react-dom@18.2.0)(react@18.2.0)(search-insights@2.13.0)(typescript@5.3.3):
|
||||
/@docusaurus/theme-search-algolia@3.1.1(@algolia/client-search@4.22.1)(@docusaurus/types@3.1.1)(@types/react@18.2.55)(eslint@8.56.0)(react-dom@18.2.0)(react@18.2.0)(search-insights@2.13.0)(typescript@5.3.3):
|
||||
resolution: {integrity: sha512-tBH9VY5EpRctVdaAhT+b1BY8y5dyHVZGFXyCHgTrvcXQy5CV4q7serEX7U3SveNT9zksmchPyct6i1sFDC4Z5g==}
|
||||
engines: {node: '>=18.0'}
|
||||
peerDependencies:
|
||||
react: ^18.0.0
|
||||
react-dom: ^18.0.0
|
||||
dependencies:
|
||||
'@docsearch/react': 3.5.2(@algolia/client-search@4.22.1)(@types/react@18.2.61)(react-dom@18.2.0)(react@18.2.0)(search-insights@2.13.0)
|
||||
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@@ -7354,16 +7313,16 @@ packages:
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eslint-import-resolver-webpack:
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||||
optional: true
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||||
dependencies:
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'@typescript-eslint/parser': 6.19.1(eslint@8.56.0)(typescript@5.3.3)
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||||
debug: 3.2.7
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||||
eslint: 8.57.0
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||||
eslint: 8.56.0
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||||
eslint-import-resolver-node: 0.3.9
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||||
eslint-import-resolver-typescript: 3.6.1(@typescript-eslint/parser@6.19.1)(eslint-import-resolver-node@0.3.9)(eslint-plugin-import@2.29.1)(eslint@8.57.0)
|
||||
eslint-import-resolver-typescript: 3.6.1(@typescript-eslint/parser@6.19.1)(eslint-import-resolver-node@0.3.9)(eslint-plugin-import@2.29.1)(eslint@8.56.0)
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transitivePeerDependencies:
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dev: false
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/eslint-plugin-import@2.29.1(@typescript-eslint/parser@6.19.1)(eslint-import-resolver-typescript@3.6.1)(eslint@8.57.0):
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||||
/eslint-plugin-import@2.29.1(@typescript-eslint/parser@6.19.1)(eslint-import-resolver-typescript@3.6.1)(eslint@8.56.0):
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resolution: {integrity: sha512-BbPC0cuExzhiMo4Ff1BTVwHpjjv28C5R+btTOGaCRC7UEz801up0JadwkeSk5Ued6TG34uaczuVuH6qyy5YUxw==}
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engines: {node: '>=4'}
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peerDependencies:
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@@ -7373,16 +7332,16 @@ packages:
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'@typescript-eslint/parser':
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||||
optional: true
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||||
dependencies:
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array-includes: 3.1.7
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array.prototype.findlastindex: 1.2.3
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array.prototype.flat: 1.3.2
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array.prototype.flatmap: 1.3.2
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debug: 3.2.7
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doctrine: 2.1.0
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||||
eslint: 8.57.0
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||||
eslint: 8.56.0
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eslint-import-resolver-node: 0.3.9
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||||
eslint-module-utils: 2.8.0(@typescript-eslint/parser@6.19.1)(eslint-import-resolver-node@0.3.9)(eslint-import-resolver-typescript@3.6.1)(eslint@8.57.0)
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||||
eslint-module-utils: 2.8.0(@typescript-eslint/parser@6.19.1)(eslint-import-resolver-node@0.3.9)(eslint-import-resolver-typescript@3.6.1)(eslint@8.56.0)
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hasown: 2.0.0
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/eslint-plugin-jsx-a11y@6.8.0(eslint@8.57.0):
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/eslint-plugin-jsx-a11y@6.8.0(eslint@8.56.0):
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resolution: {integrity: sha512-Hdh937BS3KdwwbBaKd5+PLCOmYY6U4f2h9Z2ktwtNKvIdIEu137rjYbcb9ApSbVJfWxANNuiKTD/9tOKjK9qOA==}
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engines: {node: '>=4.0'}
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peerDependencies:
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@@ -7414,7 +7373,7 @@ packages:
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emoji-regex: 9.2.2
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es-iterator-helpers: 1.0.15
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eslint: 8.57.0
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eslint: 8.56.0
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hasown: 2.0.0
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jsx-ast-utils: 3.3.5
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language-tags: 1.0.9
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@@ -7423,16 +7382,16 @@ packages:
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dev: false
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/eslint-plugin-react-hooks@4.6.0(eslint@8.57.0):
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/eslint-plugin-react-hooks@4.6.0(eslint@8.56.0):
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||||
engines: {node: '>=10'}
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peerDependencies:
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eslint: ^3.0.0 || ^4.0.0 || ^5.0.0 || ^6.0.0 || ^7.0.0 || ^8.0.0-0
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dependencies:
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||||
eslint: 8.57.0
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eslint: 8.56.0
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dev: false
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/eslint-plugin-react@7.28.0(eslint@8.57.0):
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/eslint-plugin-react@7.28.0(eslint@8.56.0):
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resolution: {integrity: sha512-IOlFIRHzWfEQQKcAD4iyYDndHwTQiCMcJVJjxempf203jnNLUnW34AXLrV33+nEXoifJE2ZEGmcjKPL8957eSw==}
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engines: {node: '>=4'}
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peerDependencies:
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@@ -7441,7 +7400,7 @@ packages:
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array-includes: 3.1.6
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array.prototype.flatmap: 1.3.1
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||||
doctrine: 2.1.0
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eslint: 8.57.0
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||||
eslint: 8.56.0
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estraverse: 5.3.0
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jsx-ast-utils: 3.3.3
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minimatch: 3.1.2
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@@ -7455,7 +7414,7 @@ packages:
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string.prototype.matchall: 4.0.8
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||||
dev: false
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||||
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/eslint-plugin-react@7.33.2(eslint@8.57.0):
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/eslint-plugin-react@7.33.2(eslint@8.56.0):
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resolution: {integrity: sha512-73QQMKALArI8/7xGLNI/3LylrEYrlKZSb5C9+q3OtOewTnMQi5cT+aE9E41sLCmli3I9PGGmD1yiZydyo4FEPw==}
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engines: {node: '>=4'}
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peerDependencies:
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@@ -7466,7 +7425,7 @@ packages:
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doctrine: 2.1.0
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es-iterator-helpers: 1.0.15
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eslint: 8.57.0
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eslint: 8.56.0
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jsx-ast-utils: 3.3.5
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minimatch: 3.1.2
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@@ -7480,13 +7439,13 @@ packages:
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dev: false
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/eslint-plugin-turbo@1.11.3(eslint@8.57.0):
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/eslint-plugin-turbo@1.11.3(eslint@8.56.0):
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resolution: {integrity: sha512-R5ftTTWQzEYaKzF5g6m/MInCU8pIN+2TLL+S50AYBr1enwUovdZmnZ1HDwFMaxIjJ8x5ah+jvAzql5IJE9VWaA==}
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peerDependencies:
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dependencies:
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dotenv: 16.0.3
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||||
eslint: 8.57.0
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eslint: 8.56.0
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dev: false
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/eslint-scope@5.1.1:
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@@ -7558,53 +7517,6 @@ packages:
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engines: {node: ^12.22.0 || ^14.17.0 || >=16.0.0}
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hasBin: true
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dependencies:
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'@eslint-community/eslint-utils': 4.4.0(eslint@8.57.0)
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'@eslint-community/regexpp': 4.10.0
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'@eslint/eslintrc': 2.1.4
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'@eslint/js': 8.57.0
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'@humanwhocodes/config-array': 0.11.14
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'@nodelib/fs.walk': 1.2.8
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'@ungap/structured-clone': 1.2.0
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ajv: 6.12.6
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chalk: 4.1.2
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cross-spawn: 7.0.3
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debug: 4.3.4
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doctrine: 3.0.0
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escape-string-regexp: 4.0.0
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||||
eslint-scope: 7.2.2
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||||
eslint-visitor-keys: 3.4.3
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||||
espree: 9.6.1
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||||
esquery: 1.5.0
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||||
esutils: 2.0.3
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fast-deep-equal: 3.1.3
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||||
file-entry-cache: 6.0.1
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find-up: 5.0.0
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||||
glob-parent: 6.0.2
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||||
globals: 13.24.0
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graphemer: 1.4.0
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||||
ignore: 5.3.1
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imurmurhash: 0.1.4
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is-glob: 4.0.3
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is-path-inside: 3.0.3
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||||
js-yaml: 4.1.0
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json-stable-stringify-without-jsonify: 1.0.1
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levn: 0.4.1
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lodash.merge: 4.6.2
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minimatch: 3.1.2
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natural-compare: 1.4.0
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optionator: 0.9.3
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strip-ansi: 6.0.1
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text-table: 0.2.0
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transitivePeerDependencies:
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dev: false
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/espree@9.6.1:
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resolution: {integrity: sha512-oruZaFkjorTpF32kDSI5/75ViwGeZginGGy2NoOSg3Q9bnwlnmDm4HLnkl0RE3n+njDXR037aY1+x58Z/zFdwQ==}
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||||
engines: {node: ^12.22.0 || ^14.17.0 || >=16.0.0}
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@@ -12412,7 +12324,7 @@ packages:
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'@protobufjs/pool': 1.1.0
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'@protobufjs/utf8': 1.1.0
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'@types/long': 4.0.2
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||||
'@types/node': 20.11.20
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||||
'@types/node': 20.11.17
|
||||
long: 4.0.0
|
||||
dev: false
|
||||
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||||
@@ -12548,7 +12460,7 @@ packages:
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||||
iconv-lite: 0.4.24
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||||
unpipe: 1.0.0
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||||
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/raw-loader@4.0.2(webpack@5.90.3):
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/raw-loader@4.0.2(webpack@5.90.1):
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resolution: {integrity: sha512-ZnScIV3ag9A4wPX/ZayxL/jZH+euYb6FcUinPcgiQW0+UBtEv0O6Q3lGd3cqJ+GHH+rksEv3Pj99oxJ3u3VIKA==}
|
||||
engines: {node: '>= 10.13.0'}
|
||||
peerDependencies:
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@@ -12556,7 +12468,7 @@ packages:
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dependencies:
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||||
loader-utils: 2.0.4
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||||
schema-utils: 3.3.0
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||||
webpack: 5.90.3
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||||
webpack: 5.90.1
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||||
dev: false
|
||||
|
||||
/rc@1.2.8:
|
||||
@@ -14198,7 +14110,7 @@ packages:
|
||||
terser: 5.27.0
|
||||
webpack: 5.90.0
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||||
|
||||
/terser-webpack-plugin@5.3.10(webpack@5.90.3):
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||||
/terser-webpack-plugin@5.3.10(webpack@5.90.1):
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||||
resolution: {integrity: sha512-BKFPWlPDndPs+NGGCr1U59t0XScL5317Y0UReNrHaw9/FwhPENlq6bfgs+4yPfyP51vqC1bQ4rp1EfXW5ZSH9w==}
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||||
engines: {node: '>= 10.13.0'}
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peerDependencies:
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@@ -14219,7 +14131,7 @@ packages:
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schema-utils: 3.3.0
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serialize-javascript: 6.0.2
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terser: 5.27.0
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webpack: 5.90.3
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webpack: 5.90.1
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||||
dev: false
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||||
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||||
/terser@5.27.0:
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@@ -14826,17 +14738,6 @@ packages:
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escalade: 3.1.1
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picocolors: 1.0.0
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/update-browserslist-db@1.0.13(browserslist@4.23.0):
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resolution: {integrity: sha512-xebP81SNcPuNpPP3uzeW1NYXxI3rxyJzF3pD6sH4jE7o/IX+WtSpwnVU+qIsDPyk0d3hmFQ7mjqc6AtV604hbg==}
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hasBin: true
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peerDependencies:
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browserslist: '>= 4.21.0'
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dependencies:
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||||
browserslist: 4.23.0
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escalade: 3.1.1
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picocolors: 1.0.0
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dev: false
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/update-check@1.5.4:
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resolution: {integrity: sha512-5YHsflzHP4t1G+8WGPlvKbJEbAJGCgw+Em+dGR1KmBUbr1J36SJBqlHLjR7oob7sco5hWHGQVcr9B2poIVDDTQ==}
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dependencies:
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@@ -15261,8 +15162,8 @@ packages:
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||||
- esbuild
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- uglify-js
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||||
/webpack@5.90.3:
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resolution: {integrity: sha512-h6uDYlWCctQRuXBs1oYpVe6sFcWedl0dpcVaTf/YF67J9bKvwJajFulMVSYKHrksMB3I/pIagRzDxwxkebuzKA==}
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/webpack@5.90.1:
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resolution: {integrity: sha512-SstPdlAC5IvgFnhiRok8hqJo/+ArAbNv7rhU4fnWGHNVfN59HSQFaxZDSAL3IFG2YmqxuRs+IU33milSxbPlog==}
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engines: {node: '>=10.13.0'}
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hasBin: true
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peerDependencies:
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@@ -15278,9 +15179,9 @@ packages:
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'@webassemblyjs/wasm-parser': 1.11.6
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acorn: 8.11.3
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acorn-import-assertions: 1.9.0(acorn@8.11.3)
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browserslist: 4.23.0
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browserslist: 4.22.3
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chrome-trace-event: 1.0.3
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enhanced-resolve: 5.15.1
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enhanced-resolve: 5.15.0
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es-module-lexer: 1.4.1
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eslint-scope: 5.1.1
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events: 3.3.0
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@@ -15292,7 +15193,7 @@ packages:
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neo-async: 2.6.2
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schema-utils: 3.3.0
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tapable: 2.2.1
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terser-webpack-plugin: 5.3.10(webpack@5.90.3)
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terser-webpack-plugin: 5.3.10(webpack@5.90.1)
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webpack-sources: 3.2.3
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+1
-7
@@ -11,13 +11,7 @@
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"outDir": "./lib",
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"tsBuildInfoFile": "./lib/.tsbuildinfo",
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"incremental": true,
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"composite": true,
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"paths": {
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"llamaindex": ["./packages/core/src/index.ts"],
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"llamaindex/*": ["./packages/core/src/*.ts"],
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"@llamaindex/env": ["./packages/env/src/index.ts"],
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"@llamaindex/env/*": ["./packages/env/src/*.ts"]
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}
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"composite": true
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},
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"files": [],
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||||
"references": [
|
||||
|
||||
Reference in New Issue
Block a user