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Small agent tweaks
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This commit is contained in:
Zakary Timson
2026-08-04 14:33:28 -04:00
parent 077f75cdd9
commit 3f1289d993
3 changed files with 22 additions and 7 deletions
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9
src/llm.ts
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@@ -132,8 +132,8 @@ class LLM {
return {
name: toolName,
description: `${a.delegate ? 'Delegate to ' : ''}Subagent: ${a.description || a.name}`,
args: <any>(a.delegate ? {} : {
context: {type: 'string', description: 'Summary of related messages, samples, files, etc...', required: true},
args: <any>({
context: !a.delegate ? {type: 'string', description: 'Summary of related messages, samples, files, etc...', required: true} : undefined,
instructions: {type: 'string', description: 'Detailed instructions for subagent to complete', required: true},
}),
fn: async (args: any, stream: any, ai: any, id?: string) => {
@@ -148,8 +148,9 @@ class LLM {
const q = a.delegate ? '' : `${args.instructions}${args.context ? `\n\n<context>${args.context}</context>` : ''}`;
const request = this.ask(q, {
system: `You are a specialized subagent. ${a.delegate ? 'Your output streams directly to the user for the remainder of this turn. You are mid conversation - dispense with greetings.' : 'You are wrapped in a tool call that will be analysis by an LLM - dispense with conversation'}
As a subagent, focus on executing your task completely using available tools and returning only the final result - no commentary, questions, or dialogue.
system: `You are a specialized subagent being called from an orchestrator
${a.delegate ? 'Your output streams directly to the user for the remainder of this turn. You are mid conversation' : 'You are wrapped in a tool call that will be analysis by an LLM'}
Dispense with greetings and focus on your instructions using available tools and returning only the final result unless specifically instructed to converse
${a.system}`,
model: a.model || undefined,