LangChain TypeScript Alternative: Zero Dependencies & Deterministic Loops

1import { createAgent } from 'smoke-monkey-harness';
2
3// Zero dependencies, straight to the point
4const agent = createAgent({
5  provider: 'anthropic',
6  model: 'claude-3-7-sonnet',
7  workspacePath: process.cwd(),
8  autoApprove: true,
9});
10
11const result = await agent.run('Find broken links in markdown files and fix them');
12console.log('Task status:', result.status);

1import { ChatAnthropic } from '@langchain/anthropic';
2import { AgentExecutor, createToolCallingAgent } from 'langchain/agents';
3import { ChatPromptTemplate, MessagesPlaceholder } from '@langchain/core/prompts';
4import { DynamicStructuredTool } from '@langchain/core/tools';
5import { BufferMemory } from 'langchain/memory';
6
7// Requires dozens of imports and complex wiring
8const llm = new ChatAnthropic({ model: 'claude-3-7-sonnet' });
9const prompt = ChatPromptTemplate.fromMessages([
10  ['system', 'You are a helpful assistant.'],
11  new MessagesPlaceholder('chat_history'),
12  ['human', '{input}'],
13  new MessagesPlaceholder('agent_scratchpad'),
14]);
15
16const agent = await createToolCallingAgent({ llm, tools: [], prompt });
17const executor = new AgentExecutor({ agent, tools: [] });
18const res = await executor.invoke({ input: 'Find broken links' });