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This commit is contained in:
Zakary Timson
2026-07-11 18:27:55 -04:00
parent 69b3297bb3
commit 436757daad
8 changed files with 307 additions and 257 deletions
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25
main.mjs
View File

@@ -1,25 +0,0 @@
import {Ai} from './dist/index.mjs';
const ai = new Ai({
path: './',
llm: {
system: 'You are a testbed for developing an AI library',
models: {
'qwen/qwen3.5-9b': {proto: 'openai', host: 'http://127.0.0.1:1234/v1'}
}
}
});
const skills = [{
name: 'Momentum',
description: 'Learn how to use the Momentum API',
content: 'You can initialize it with: new Momentum(url);'
}];
const history = [], memory = [];
await ai.language.ask('My favorite color is red', {history, memory});
await ai.language.updateMemory(history, memory);
history.splice(0, history.length);
console.log(await ai.language.ask('Whats my favorite color?', {history, memory}));
console.log(history);

372
package-lock.json generated
View File

@@ -1,12 +1,12 @@
{ {
"name": "@ztimson/ai-utils", "name": "@ztimson/ai-utils",
"version": "1.0.0", "version": "1.0.6",
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"name": "@ztimson/ai-utils", "name": "@ztimson/ai-utils",
"version": "1.0.0", "version": "1.0.6",
"license": "MIT", "license": "MIT",
"dependencies": { "dependencies": {
"@anthropic-ai/sdk": "^0.102.0", "@anthropic-ai/sdk": "^0.102.0",
@@ -57,21 +57,21 @@
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@@ -790,9 +784,9 @@
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"@rolldown/binding-openharmony-arm64": "1.0.3", "@rolldown/binding-openharmony-arm64": "1.1.5",
"@rolldown/binding-wasm32-wasi": "1.0.3", "@rolldown/binding-wasm32-wasi": "1.1.5",
"@rolldown/binding-win32-arm64-msvc": "1.0.3", "@rolldown/binding-win32-arm64-msvc": "1.1.5",
"@rolldown/binding-win32-x64-msvc": "1.0.3" "@rolldown/binding-win32-x64-msvc": "1.1.5"
} }
}, },
"node_modules/safe-buffer": { "node_modules/safe-buffer": {
@@ -3444,9 +3460,9 @@
"license": "MIT" "license": "MIT"
}, },
"node_modules/semver": { "node_modules/semver": {
"version": "7.8.2", "version": "7.8.5",
"resolved": "https://registry.npmjs.org/semver/-/semver-7.8.2.tgz", "resolved": "https://registry.npmjs.org/semver/-/semver-7.8.5.tgz",
"integrity": "sha512-c8jsqUZm3omBOI66G90z1Dyw5z622G8oLG+omfsHBJf3CWQTlOcwOjvOG6wtiNfW6anKm/eA39LMwMtMez2TiQ==", "integrity": "sha512-Y7/KDsb8LjooZpwaqGyulO6DQlksgCncchHGk+sZIY4SBvUocMBEFH5Ur1fI4dV+Jvl0w6cjvucaIi40puRioA==",
"license": "ISC", "license": "ISC",
"bin": { "bin": {
"semver": "bin/semver.js" "semver": "bin/semver.js"
@@ -3771,9 +3787,9 @@
"license": "MIT" "license": "MIT"
}, },
"node_modules/undici": { "node_modules/undici": {
"version": "7.27.2", "version": "7.28.0",
"resolved": "https://registry.npmjs.org/undici/-/undici-7.27.2.tgz", "resolved": "https://registry.npmjs.org/undici/-/undici-7.28.0.tgz",
"integrity": "sha512-uZsKNuzQxDMUY6M3pIMvy5tvlGmtq8XJ2oLAkfRKGNu+1VQAIvLy2xIVG5ATZl5wDXl/tddByAWCizRbOme+TA==", "integrity": "sha512-cRZYrTDwWznlnRiPjggAGxZXanty6M8RV1ff8Wm4LWXBp7/IG8v5DnOm74DtUBp9OONpK75YlPnIjQqX0dBDtA==",
"license": "MIT", "license": "MIT",
"engines": { "engines": {
"node": ">=20.18.1" "node": ">=20.18.1"
@@ -3875,9 +3891,9 @@
} }
}, },
"node_modules/unplugin-dts": { "node_modules/unplugin-dts": {
"version": "1.0.2", "version": "1.0.3",
"resolved": "https://registry.npmjs.org/unplugin-dts/-/unplugin-dts-1.0.2.tgz", "resolved": "https://registry.npmjs.org/unplugin-dts/-/unplugin-dts-1.0.3.tgz",
"integrity": "sha512-VbNiMD0LMl/t6nJueGtrCp79N7ZO1nquxj/FUybJDnKwZGsnW2wjdwBSzA3QEHujoxmxZIptsG43hL7LzXE96w==", "integrity": "sha512-/GR887wfG4r1cWyt1UZsLRuMIjsmEbGkS9yJrz+0dsToHAYUD5CTyP3JMGVLv25j9K0mJcwAVvZno/aTuSUvNg==",
"dev": true, "dev": true,
"license": "MIT", "license": "MIT",
"dependencies": { "dependencies": {
@@ -3893,7 +3909,7 @@
"peerDependencies": { "peerDependencies": {
"@microsoft/api-extractor": ">=7", "@microsoft/api-extractor": ">=7",
"@rspack/core": "^1", "@rspack/core": "^1",
"@vue/language-core": "~3.1.5", "@vue/language-core": "^3.1.5",
"esbuild": "*", "esbuild": "*",
"rolldown": "*", "rolldown": "*",
"rollup": ">=3", "rollup": ">=3",
@@ -3965,16 +3981,16 @@
} }
}, },
"node_modules/vite": { "node_modules/vite": {
"version": "8.0.16", "version": "8.1.4",
"resolved": "https://registry.npmjs.org/vite/-/vite-8.0.16.tgz", "resolved": "https://registry.npmjs.org/vite/-/vite-8.1.4.tgz",
"integrity": "sha512-h9bXPmJichP5fLmVQo3PyaGSDE2n3aPuomeAlVRm0JLmt4rY6zmPKd59HYI4LNW8oTK7tlTsuC7l/m7awx9Jcw==", "integrity": "sha512-bTT9PsdWO+MQMNG9ZXIP/qM9wGh37DFxTV/sPq9cFpHr3w4jkgef032PkAL9jAqhk3Nz8NQw3O8n6/xFkqO4QQ==",
"dev": true, "dev": true,
"license": "MIT", "license": "MIT",
"dependencies": { "dependencies": {
"lightningcss": "^1.32.0", "lightningcss": "^1.32.0",
"picomatch": "^4.0.4", "picomatch": "^4.0.5",
"postcss": "^8.5.15", "postcss": "^8.5.16",
"rolldown": "1.0.3", "rolldown": "~1.1.4",
"tinyglobby": "^0.2.17" "tinyglobby": "^0.2.17"
}, },
"bin": { "bin": {
@@ -3991,7 +4007,7 @@
}, },
"peerDependencies": { "peerDependencies": {
"@types/node": "^20.19.0 || >=22.12.0", "@types/node": "^20.19.0 || >=22.12.0",
"@vitejs/devtools": "^0.1.18", "@vitejs/devtools": "^0.3.0",
"esbuild": "^0.27.0 || ^0.28.0", "esbuild": "^0.27.0 || ^0.28.0",
"jiti": ">=1.21.0", "jiti": ">=1.21.0",
"less": "^4.0.0", "less": "^4.0.0",
@@ -4043,13 +4059,13 @@
} }
}, },
"node_modules/vite-plugin-dts": { "node_modules/vite-plugin-dts": {
"version": "5.0.2", "version": "5.0.3",
"resolved": "https://registry.npmjs.org/vite-plugin-dts/-/vite-plugin-dts-5.0.2.tgz", "resolved": "https://registry.npmjs.org/vite-plugin-dts/-/vite-plugin-dts-5.0.3.tgz",
"integrity": "sha512-lNeHS+dwGju6eRmNvZQt8Shwv9j3m98hbHse/lIbLq9q3yE2DcIOBBYQEVUF6tS0kOmv+VA9Z5FqmzFnGe4U8g==", "integrity": "sha512-gIth6NdCEHWPiiRMCK3N6C8WjvdsrtEQrmsiG8h6Ov+lFP+b07Y+wcs9H0H7n146l0PDTYK4cQN1vgeG1pMdRQ==",
"dev": true, "dev": true,
"license": "MIT", "license": "MIT",
"dependencies": { "dependencies": {
"unplugin-dts": "1.0.2" "unplugin-dts": "1.0.3"
}, },
"peerDependencies": { "peerDependencies": {
"@microsoft/api-extractor": ">=7", "@microsoft/api-extractor": ">=7",
@@ -4169,9 +4185,9 @@
} }
}, },
"node_modules/yargs": { "node_modules/yargs": {
"version": "16.2.0", "version": "16.2.2",
"resolved": "https://registry.npmjs.org/yargs/-/yargs-16.2.0.tgz", "resolved": "https://registry.npmjs.org/yargs/-/yargs-16.2.2.tgz",
"integrity": "sha512-D1mvvtDG0L5ft/jGWkLpG1+m0eQxOfaBvTNELraWj22wSVUMWxZUvYgJYcKh6jGGIkJFhH4IZPQhR4TKpc8mBw==", "integrity": "sha512-Nt9ZJjXTv5R8MHbqby/wXQ6Gi0Bb3TcYZkR1bzuL4yB2OxWPkXknz513gEF0GoA6tn00UpbPvERW8rzCuWCA6w==",
"license": "MIT", "license": "MIT",
"dependencies": { "dependencies": {
"cliui": "^7.0.2", "cliui": "^7.0.2",

2
package.json
View File

@@ -1,6 +1,6 @@
{ {
"name": "@ztimson/ai-utils", "name": "@ztimson/ai-utils",
"version": "1.0.6", "version": "1.1.0",
"description": "AI Utility library", "description": "AI Utility library",
"author": "Zak Timson", "author": "Zak Timson",
"license": "MIT", "license": "MIT",

24
src/antrhopic.ts
View File

@@ -3,6 +3,7 @@ import {findByProp, objectMap, JSONSanitize, JSONAttemptParse} from '@ztimson/ut
import {AbortablePromise, Ai} from './ai.ts'; import {AbortablePromise, Ai} from './ai.ts';
import {LLMMessage, LLMRequest} from './llm.ts'; import {LLMMessage, LLMRequest} from './llm.ts';
import {LLMProvider} from './provider.ts'; import {LLMProvider} from './provider.ts';
import {convertSchema} from './tools.ts';
export class Anthropic extends LLMProvider { export class Anthropic extends LLMProvider {
client!: anthropic; client!: anthropic;
@@ -48,7 +49,7 @@ export class Anthropic extends LLMProvider {
return history.map(({timestamp, ...h}) => h); return history.map(({timestamp, ...h}) => h);
} }
ask(message: string, options: LLMRequest = {}): AbortablePromise<string> { ask(message: string, options: LLMRequest = {}): AbortablePromise<string | any> {
const controller = new AbortController(); const controller = new AbortController();
return Object.assign(new Promise<any>(async (res) => { return Object.assign(new Promise<any>(async (res) => {
let history = this.fromStandard([...options.history || [], {role: 'user', content: message, timestamp: Date.now()}]); let history = this.fromStandard([...options.history || [], {role: 'user', content: message, timestamp: Date.now()}]);
@@ -57,7 +58,7 @@ export class Anthropic extends LLMProvider {
model: options.model || this.model, model: options.model || this.model,
max_tokens: options.max_tokens || this.ai.options.llm?.max_tokens || 4096, max_tokens: options.max_tokens || this.ai.options.llm?.max_tokens || 4096,
system: options.system || this.ai.options.llm?.system || '', system: options.system || this.ai.options.llm?.system || '',
temperature: options.temperature || this.ai.options.llm?.temperature || 0.7, temperature: options.temperature || this.ai.options.llm?.temperature || undefined,
tools: tools.map(t => ({ tools: tools.map(t => ({
name: t.name, name: t.name,
description: t.description, description: t.description,
@@ -72,6 +73,16 @@ export class Anthropic extends LLMProvider {
stream: !!options.stream, stream: !!options.stream,
}; };
// Add structured output support
if(options.schema) {
requestParams.output_config = {
format: {
type: 'json_schema',
schema: convertSchema(options.schema)
}
};
}
let resp: any, isFirstMessage = true; let resp: any, isFirstMessage = true;
do { do {
resp = await this.client.messages.create(requestParams).catch(err => { resp = await this.client.messages.create(requestParams).catch(err => {
@@ -128,12 +139,17 @@ export class Anthropic extends LLMProvider {
requestParams.messages = history; requestParams.messages = history;
} }
} while (!controller.signal.aborted && resp.content.some((c: any) => c.type === 'tool_use')); } while (!controller.signal.aborted && resp.content.some((c: any) => c.type === 'tool_use'));
history.push({role: 'assistant', content: resp.content.filter((c: any) => c.type == 'text').map((c: any) => c.text).join('\n\n')});
const textContent = resp.content.filter((c: any) => c.type == 'text').map((c: any) => c.text).join('\n\n');
history.push({role: 'assistant', content: textContent});
history = this.toStandard(history); history = this.toStandard(history);
if(options.stream) options.stream({done: true}); if(options.stream) options.stream({done: true});
if(options.history) options.history.splice(0, options.history.length, ...history); if(options.history) options.history.splice(0, options.history.length, ...history);
res(history.at(-1)?.content);
// Return parsed JSON if schema provided
const finalContent = history.at(-1)?.content;
res(options.schema ? JSONAttemptParse(finalContent, finalContent) : finalContent);
}), {abort: () => controller.abort()}); }), {abort: () => controller.abort()});
} }
} }

47
src/llm.ts
View File

@@ -2,14 +2,14 @@ import {AbortablePromise, Ai} from './ai.ts';
import {Anthropic} from './antrhopic.ts'; import {Anthropic} from './antrhopic.ts';
import {OpenAi} from './open-ai.ts'; import {OpenAi} from './open-ai.ts';
import {LLMProvider} from './provider.ts'; import {LLMProvider} from './provider.ts';
import {AiTool} from './tools.ts'; import {AiTool, AiToolArg} from './tools.ts';
import {fileURLToPath} from 'url'; import {fileURLToPath} from 'url';
import {dirname, join} from 'path'; import {dirname, join} from 'path';
import {spawn} from 'node:child_process'; import {spawn} from 'node:child_process';
import {Memory, MemoryManager} from './memory.ts'; import {Memory, MemoryManager} from './memory.ts';
export type AnthropicConfig = {proto: 'anthropic', token: string}; export type AnthropicConfig = {proto: 'anthropic', token: string};
export type OllamaConfig = {proto: 'ollama', host: string}; export type OllamaConfig = {proto: 'llama', host: string};
export type OpenAiConfig = {proto: 'openai', host?: string, token: string}; export type OpenAiConfig = {proto: 'openai', host?: string, token: string};
export type LLMMessage = { export type LLMMessage = {
@@ -37,6 +37,8 @@ export type LLMMessage = {
} }
export type LLMRequest = { export type LLMRequest = {
/** Return a parsed JSON object that matches the schema */
schema?: AiToolArg;
/** System prompt */ /** System prompt */
system?: string; system?: string;
/** Message history */ /** Message history */
@@ -93,7 +95,7 @@ class LLM {
Object.entries(ai.options.llm.models).forEach(([model, config]) => { Object.entries(ai.options.llm.models).forEach(([model, config]) => {
if(!this.defaultModel) this.defaultModel = model; if(!this.defaultModel) this.defaultModel = model;
if(config.proto == 'anthropic') this.models[model] = new Anthropic(this.ai, config.token, model); if(config.proto == 'anthropic') this.models[model] = new Anthropic(this.ai, config.token, model);
else if(config.proto == 'ollama') this.models[model] = new OpenAi(this.ai, config.host, 'not-needed', model); else if(config.proto == 'llama') this.models[model] = new OpenAi(this.ai, config.host, 'ignored', model, true);
else if(config.proto == 'openai') this.models[model] = new OpenAi(this.ai, config.host || null, config.token, model); else if(config.proto == 'openai') this.models[model] = new OpenAi(this.ai, config.host || null, config.token, model);
}); });
this.memoryManager = new MemoryManager(this); this.memoryManager = new MemoryManager(this);
@@ -160,7 +162,6 @@ class LLM {
ask(message: string, options: LLMRequest = {}): AbortablePromise<string> { ask(message: string, options: LLMRequest = {}): AbortablePromise<string> {
options = <any>{ options = <any>{
system: '', system: '',
temperature: 0.8,
...this.ai.options.llm, ...this.ai.options.llm,
models: undefined, models: undefined,
history: [], history: [],
@@ -394,40 +395,6 @@ ${relevant[0].content}
return {avg: similarities.reduce((acc, s) => acc + s, 0) / similarities.length, max: Math.max(...similarities), similarities}; return {avg: similarities.reduce((acc, s) => acc + s, 0) / similarities.length, max: Math.max(...similarities), similarities};
} }
/**
* Ask a question with JSON response
* @param {string} text Text to process
* @param {string} schema JSON schema the AI should match
* @param {LLMRequest} options Configuration options and chat history
* @returns {Promise<{} | {} | RegExpExecArray | null>}
*/
async json(text: string, schema: string, options?: LLMRequest): Promise<any> {
let system = `Your job is to convert input to JSON using tool calls. Call the \`submit\` tool at least once with JSON matching this schema:\n\`\`\`json\n${schema}\n\`\`\`\n\nResponses are ignored`;
if(options?.system) system += '\n\n' + options.system;
return new Promise(async (resolve, reject) => {
let done = false;
const resp = await this.ask(text, {
temperature: 0.3,
...options,
system,
tools: [{
name: 'submit',
description: 'Submit JSON',
args: {json: {type: 'string', description: 'Javascript parsable JSON string', required: true}},
fn: (args) => {
try {
const json = JSON.parse(args.json);
resolve(json);
done = true;
} catch { return 'Invalid JSON'; }
return 'Saved';
}
}, ...(options?.tools || [])],
});
if(!done) reject(`AI failed to create JSON:\n${resp}`);
});
}
/** /**
* Create a summary of some text * Create a summary of some text
* @param {string} text Text to summarize * @param {string} text Text to summarize
@@ -464,7 +431,7 @@ ${relevant[0].content}
addModel(name: string, config: AnthropicConfig | OllamaConfig | OpenAiConfig, setDefault = false) { addModel(name: string, config: AnthropicConfig | OllamaConfig | OpenAiConfig, setDefault = false) {
if(config.proto == 'anthropic') this.models[name] = new Anthropic(this.ai, config.token, name); if(config.proto == 'anthropic') this.models[name] = new Anthropic(this.ai, config.token, name);
else if(config.proto == 'ollama') this.models[name] = new OpenAi(this.ai, config.host, 'not-needed', name); else if(config.proto == 'llama') this.models[name] = new OpenAi(this.ai, config.host, 'not-needed', name, true);
else if(config.proto == 'openai') this.models[name] = new OpenAi(this.ai, config.host || null, config.token, name); else if(config.proto == 'openai') this.models[name] = new OpenAi(this.ai, config.host || null, config.token, name);
if(setDefault || !this.defaultModel) this.defaultModel = name; if(setDefault || !this.defaultModel) this.defaultModel = name;
} }
@@ -481,7 +448,7 @@ ${relevant[0].content}
Object.entries(models).forEach(([model, config]) => { Object.entries(models).forEach(([model, config]) => {
if(!this.defaultModel) this.defaultModel = model; if(!this.defaultModel) this.defaultModel = model;
if(config.proto == 'anthropic') this.models[model] = new Anthropic(this.ai, config.token, model); if(config.proto == 'anthropic') this.models[model] = new Anthropic(this.ai, config.token, model);
else if(config.proto == 'ollama') this.models[model] = new OpenAi(this.ai, config.host, 'not-needed', model); else if(config.proto == 'llama') this.models[model] = new OpenAi(this.ai, config.host, 'not-needed', model, true);
else if(config.proto == 'openai') this.models[model] = new OpenAi(this.ai, config.host || null, config.token, model); else if(config.proto == 'openai') this.models[model] = new OpenAi(this.ai, config.host || null, config.token, model);
}); });
this.defaultModel = Object.keys(this.models)[0] ?? ''; this.defaultModel = Object.keys(this.models)[0] ?? '';

40
src/open-ai.ts
View File

@@ -3,15 +3,16 @@ import {findByProp, objectMap, JSONSanitize, JSONAttemptParse, clean} from '@zti
import {AbortablePromise, Ai} from './ai.ts'; import {AbortablePromise, Ai} from './ai.ts';
import {LLMMessage, LLMRequest} from './llm.ts'; import {LLMMessage, LLMRequest} from './llm.ts';
import {LLMProvider} from './provider.ts'; import {LLMProvider} from './provider.ts';
import {convertSchema} from './tools.ts';
export class OpenAi extends LLMProvider { export class OpenAi extends LLMProvider {
client!: openAI; client!: openAI;
constructor(public readonly ai: Ai, public readonly host: string | null, public readonly token: string, public model: string) { constructor(public readonly ai: Ai, public readonly host: string | null, public readonly token: string, public model: string, public llama?: boolean) {
super(); super();
this.client = new openAI(clean({ this.client = new openAI(clean({
baseURL: host, baseURL: host,
apiKey: token || host ? 'ignored' : undefined apiKey: token || (host ? 'ignored' : undefined)
})); }));
} }
@@ -64,7 +65,7 @@ export class OpenAi extends LLMProvider {
}, [] as any[]); }, [] as any[]);
} }
ask(message: string, options: LLMRequest = {}): AbortablePromise<string> { ask(message: string, options: LLMRequest = {}): AbortablePromise<string | any> {
const controller = new AbortController(); const controller = new AbortController();
return Object.assign(new Promise<any>(async (res, rej) => { return Object.assign(new Promise<any>(async (res, rej) => {
if(options.system) { if(options.system) {
@@ -77,8 +78,8 @@ export class OpenAi extends LLMProvider {
model: options.model || this.model, model: options.model || this.model,
messages: history, messages: history,
stream: !!options.stream, stream: !!options.stream,
max_tokens: options.max_tokens || this.ai.options.llm?.max_tokens || 4096, max_completion_tokens: options.max_tokens || this.ai.options.llm?.max_tokens || undefined,
temperature: options.temperature || this.ai.options.llm?.temperature || 0.7, temperature: options.temperature || this.ai.options.llm?.temperature || undefined,
tools: tools.map(t => ({ tools: tools.map(t => ({
type: 'function', type: 'function',
function: { function: {
@@ -93,6 +94,26 @@ export class OpenAi extends LLMProvider {
})) }))
}; };
if(options.schema) {
const schema = convertSchema(options.schema);
if(this.llama) {
delete requestParams.tools;
requestParams.response_format = {
type: 'json_schema',
json_schema: {name: 'json', schema}
}
} else {
requestParams.response_format = {
type: 'json_schema',
json_schema: {
name: 'response',
strict: true,
schema
}
};
}
}
let resp: any, isFirstMessage = true; let resp: any, isFirstMessage = true;
do { do {
resp = await this.client.chat.completions.create(requestParams).catch(err => { resp = await this.client.chat.completions.create(requestParams).catch(err => {
@@ -158,12 +179,17 @@ export class OpenAi extends LLMProvider {
requestParams.messages = history; requestParams.messages = history;
} }
} while (!controller.signal.aborted && resp.choices?.[0]?.message?.tool_calls?.length); } while (!controller.signal.aborted && resp.choices?.[0]?.message?.tool_calls?.length);
history.push({role: 'assistant', content: resp.choices[0].message.content.trim() || ''});
const textContent = resp.choices[0].message.content?.trim() || '';
history.push({role: 'assistant', content: textContent});
history = this.toStandard(history); history = this.toStandard(history);
if(options.stream) options.stream({done: true}); if(options.stream) options.stream({done: true});
if(options.history) options.history.splice(0, options.history.length, ...history); if(options.history) options.history.splice(0, options.history.length, ...history);
res(history.at(-1)?.content);
// Return parsed JSON if schema provided
const finalContent = history.at(-1)?.content;
res(options.schema ? JSONAttemptParse(finalContent, finalContent) : finalContent);
}), {abort: () => controller.abort()}); }), {abort: () => controller.abort()});
} }
} }

49
src/tools.ts
View File

@@ -1,6 +1,6 @@
import * as cheerio from 'cheerio'; import * as cheerio from 'cheerio';
import {$Sync} from '@ztimson/node-utils'; import {$Sync} from '@ztimson/node-utils';
import {ASet, consoleInterceptor, Http, fn as Fn, decodeHtml} from '@ztimson/utils'; import {ASet, consoleInterceptor, Http, fn as Fn, decodeHtml, objectMap} from '@ztimson/utils';
import * as os from 'node:os'; import * as os from 'node:os';
import {Ai} from './ai.ts'; import {Ai} from './ai.ts';
import {LLMRequest} from './llm.ts'; import {LLMRequest} from './llm.ts';
@@ -44,6 +44,53 @@ export type AiTool = {
fn: (args: any, stream: LLMRequest['stream'], ai: Ai) => any | Promise<any>, fn: (args: any, stream: LLMRequest['stream'], ai: Ai) => any | Promise<any>,
}; };
export function convertSchema(schema: any): any {
if(!schema) return null;
const convertProp = (prop: any): any => {
const converted: any = {
type: prop.type || 'string',
};
if(prop.description) converted.description = prop.description;
if(prop.default !== undefined) converted.default = prop.default;
if(prop.enum) converted.enum = prop.enum;
if(prop.pattern) converted.pattern = prop.pattern;
// Handle array items
if(prop.type === 'array' && prop.items) {
converted.items = convertProp(prop.items);
}
// Handle object properties
if(prop.type === 'object' && prop.items) {
converted.properties = objectMap(prop.items, (key, value) => convertProp(value));
const required = Object.entries(prop.items).filter(([_, v]: any) => v.required).map(([k]) => k);
if(required.length) converted.required = required;
converted.additionalProperties = false;
}
// Handle min/max based on type
if(prop.min !== undefined) {
if(prop.type === 'string' || prop.type === 'array') converted.minLength = prop.min;
else converted.minimum = prop.min;
}
if(prop.max !== undefined) {
if(prop.type === 'string' || prop.type === 'array') converted.maxLength = prop.max;
else converted.maximum = prop.max;
}
return converted;
};
return {
type: 'object',
properties: objectMap(schema, (key, value) => convertProp(value)),
required: Object.entries(schema).filter(([_, v]: any) => v.required).map(([k]) => k),
additionalProperties: false
};
}
export const CliTool: AiTool = { export const CliTool: AiTool = {
name: 'cli', name: 'cli',
description: 'Use the command line interface, returns any output', description: 'Use the command line interface, returns any output',

5
tsconfig.json
View File

@@ -4,7 +4,10 @@
"target": "ESNext", "target": "ESNext",
"useDefineForClassFields": true, "useDefineForClassFields": true,
"module": "ESNext", "module": "ESNext",
"lib": ["ESNext"], "lib": [
"ESNext",
"dom"
],
"skipLibCheck": true, "skipLibCheck": true,
/* Bundler mode */ /* Bundler mode */