system.agent_docs.genai.mts•1.84 kB
system({
title: "Agent that can query on the documentation.",
parameters: {
dir: {
type: "string",
description: "The documentation root folder",
required: false,
},
samples: {
type: "string",
description: "The code samples root folder",
required: false,
},
},
})
export default function (ctx: ChatGenerationContext) {
const { env, defAgent } = ctx
const docsRoot = env.vars["system.agent_docs.dir"] || "docs"
const samplesRoot =
env.vars["system.agent_docs.samples"] || "packages/sample/genaisrc/"
defAgent(
"docs",
"query the documentation",
async (ctx) => {
ctx.$`Your are a helpful LLM agent that is an expert at Technical documentation. You can provide the best analyzis to any query about the documentation.
Analyze <QUERY> and respond with the requested information.
## Tools
The 'md_find_files' can perform a grep search over the documentation files and return the title, description, and filename for each match.
To optimize search, convert the QUERY request into keywords or a regex pattern.
Try multiple searches if you cannot find relevant files.
## Context
- the documentation is stored in markdown/MDX files in the ${docsRoot} folder
${samplesRoot ? `- the code samples are stored in the ${samplesRoot} folder` : ""}
`
},
{
system: ["system.explanations", "system.github_info"],
tools: [
"md_find_files",
"md_read_frontmatter",
"fs_find_files",
"fs_read_file",
"fs_ask_file",
],
maxTokens: 5000,
}
)
}