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refactor: example agents such that the default agent does not require…
… secrets
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|---|---|---|
| @@ -0,0 +1,157 @@ | ||
| /** | ||
| * Copyright 2024 IBM Corp. | ||
| * | ||
| * Licensed under the Apache License, Version 2.0 (the "License"); | ||
| * you may not use this file except in compliance with the License. | ||
| * You may obtain a copy of the License at | ||
| * | ||
| * http://www.apache.org/licenses/LICENSE-2.0 | ||
| * | ||
| * Unless required by applicable law or agreed to in writing, software | ||
| * distributed under the License is distributed on an "AS IS" BASIS, | ||
| * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ||
| * See the License for the specific language governing permissions and | ||
| * limitations under the License. | ||
| */ | ||
|
|
||
| import "dotenv/config.js"; | ||
| import { BAMChatLLM } from "bee-agent-framework/adapters/bam/chat"; | ||
| import { BeeAgent } from "bee-agent-framework/agents/bee/agent"; | ||
| import { createConsoleReader } from "../helpers/io.js"; | ||
| import { FrameworkError } from "bee-agent-framework/errors"; | ||
| import { TokenMemory } from "bee-agent-framework/memory/tokenMemory"; | ||
| import { Logger } from "bee-agent-framework/logger/logger"; | ||
| import { OllamaChatLLM } from "bee-agent-framework/adapters/ollama/chat"; | ||
| import { OpenAIChatLLM } from "bee-agent-framework/adapters/openai/chat"; | ||
| import { PromptTemplate } from "bee-agent-framework/template"; | ||
| import { WatsonXChatLLM } from "bee-agent-framework/adapters/watsonx/chat"; | ||
| import { parseEnv } from "bee-agent-framework/internals/env"; | ||
| import { z } from "zod"; | ||
| import { | ||
| BeeSystemPrompt, | ||
| BeeToolErrorPrompt, | ||
| BeeToolInputErrorPrompt, | ||
| BeeToolNoResultsPrompt, | ||
| } from "bee-agent-framework/agents/bee/prompts"; | ||
|
|
||
| // core tools | ||
| import { DuckDuckGoSearchTool } from "bee-agent-framework/tools/search/duckDuckGoSearch"; | ||
| import { WikipediaTool } from "bee-agent-framework/tools/search/wikipedia"; | ||
|
|
||
| // AirTable tool | ||
| import { AirtableTool } from "bee-community-tools/tools/airtable"; | ||
|
|
||
| const AIRTABLE_TOKEN: string = parseEnv("AIRTABLE_TOKEN", z.string()); | ||
| const AIRTABLE_BASE: string = parseEnv("AIRTABLE_BASE", z.string()); | ||
|
|
||
| Logger.root.level = "silent"; // disable internal logs | ||
| const logger = new Logger({ name: "app", level: "trace" }); | ||
|
|
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| async function runBeeAgent() { | ||
| // use BAM if GENAI_API_KEY env var is defined | ||
| // else use Watsonx if WATSONX_API_KEY and WATSONX_PROJECT_ID env vars are defined | ||
| // else use OpenAI if OPENAI_API_KEY env var is defined | ||
| // else use Ollama | ||
| const llm = | ||
| process.env.GENAI_API_KEY !== undefined | ||
| ? BAMChatLLM.fromPreset("meta-llama/llama-3-1-70b-instruct") | ||
| : process.env.WATSONX_API_KEY !== undefined && process.env.WATSONX_PROJECT_ID !== undefined | ||
| ? WatsonXChatLLM.fromPreset("meta-llama/llama-3-1-70b-instruct", { | ||
| apiKey: process.env.WATSONX_API_KEY, //pragma: allowlist secret | ||
| projectId: process.env.WATSONX_PROJECT_ID, | ||
| parameters: { | ||
| decoding_method: "greedy", | ||
| min_new_tokens: 5, | ||
| max_new_tokens: 50, | ||
| }, | ||
| }) | ||
| : process.env.OPENAI_API_KEY !== undefined | ||
| ? new OpenAIChatLLM() | ||
| : new OllamaChatLLM({ modelId: "llama3.1" }); | ||
|
|
||
| const agent = new BeeAgent({ | ||
| llm, | ||
| memory: new TokenMemory({ llm }), | ||
| tools: [ | ||
| new DuckDuckGoSearchTool(), | ||
| new WikipediaTool(), | ||
| new AirtableTool({ apiToken: AIRTABLE_TOKEN, baseId: AIRTABLE_BASE }), | ||
| ], | ||
| templates: { | ||
| user: new PromptTemplate({ | ||
| schema: z | ||
| .object({ | ||
| input: z.string(), | ||
| }) | ||
| .passthrough(), | ||
| template: `User: {{input}}`, | ||
| }), | ||
| system: BeeSystemPrompt.fork((old) => ({ | ||
| ...old, | ||
| defaults: { | ||
| instructions: "You are a helpful assistant that uses tools to answer questions.", | ||
| }, | ||
| })), | ||
| toolError: BeeToolErrorPrompt, | ||
| toolInputError: BeeToolInputErrorPrompt, | ||
| toolNoResultError: BeeToolNoResultsPrompt.fork((old) => ({ | ||
| ...old, | ||
| template: `${old.template}\nPlease reformat your input.`, | ||
| })), | ||
| toolNotFoundError: new PromptTemplate({ | ||
| schema: z | ||
| .object({ | ||
| tools: z.array(z.object({ name: z.string() }).passthrough()), | ||
| }) | ||
| .passthrough(), | ||
| template: `Tool does not exist! | ||
| {{#tools.length}} | ||
| Use one of the following tools: {{#trim}}{{#tools}}{{name}},{{/tools}}{{/trim}} | ||
| {{/tools.length}}`, | ||
| }), | ||
| }, | ||
| }); | ||
|
|
||
| const reader = createConsoleReader(); | ||
|
|
||
| try { | ||
| for await (const { prompt } of reader) { | ||
| const response = await agent | ||
| .run( | ||
| { prompt }, | ||
| { | ||
| execution: { | ||
| maxRetriesPerStep: 3, | ||
| totalMaxRetries: 10, | ||
| maxIterations: 20, | ||
| }, | ||
| signal: AbortSignal.timeout(2 * 60 * 1000), | ||
| }, | ||
| ) | ||
| .observe((emitter) => { | ||
| emitter.on("start", () => { | ||
| reader.write(`Agent 🤖 : `, "Starting new iteration"); | ||
| }); | ||
| emitter.on("error", ({ error }) => { | ||
| reader.write(`Agent 🤖 : `, FrameworkError.ensure(error).dump()); | ||
| }); | ||
| emitter.on("retry", () => { | ||
| reader.write(`Agent 🤖 : `, "retrying the action..."); | ||
| }); | ||
| emitter.on("update", async ({ update }) => { | ||
| // log 'data' to see the whole state | ||
| // to log only valid runs (no errors), check if meta.success === true | ||
| reader.write(`Agent (${update.key}) 🤖 : `, update.value); | ||
| }); | ||
| }); | ||
|
|
||
| reader.write(`Agent 🤖 : `, response.result.text); | ||
| } | ||
| } catch (error) { | ||
| logger.error(FrameworkError.ensure(error).dump()); | ||
| } finally { | ||
| process.exit(0); | ||
| } | ||
| } | ||
|
|
||
| void runBeeAgent(); |
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