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Refactor agent_fs to defAgent and update related documentation #755

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merged 7 commits into from
Oct 4, 2024
Merged

Refactor agent_fs to defAgent and update related documentation #755

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deacff1
Refactor agent_fs to defAgent and update related documentation and ty…
pelikhan Oct 4, 2024
459bc2a
Refactor agents from defTool to defAgent and update system returns an…
pelikhan Oct 4, 2024
37f9008
Add GPT-3.5 Turbo pricing, update resolveTools logic, and extend defT…
pelikhan Oct 4, 2024
bd1738a
Add system.github_info to agents, update GitHub info display, and ref…
pelikhan Oct 4, 2024
852c21e
Update git tool descriptions, enhance tool resolution, and integrate …
pelikhan Oct 4, 2024
96c7516
Add built-in agent documentation and improve GitHub tool descriptions
pelikhan Oct 4, 2024
bc3595f
Add Project import and property to NodeHost and TestHost classes
pelikhan Oct 4, 2024
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27 changes: 25 additions & 2 deletions docs/genaisrc/genaiscript.d.ts
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1 change: 0 additions & 1 deletion docs/src/components/BuiltinTools.mdx
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Original file line number Diff line number Diff line change
Expand Up @@ -5,8 +5,7 @@
import { LinkCard } from '@astrojs/starlight/components';

### Builtin tools

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The link to the agent_fs documentation has been removed, which may lead to a broken link or missing information for users.
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The link to the agent_fs documentation has been removed, which may lead to a broken link or missing information for users.

generated by pr-docs-review-commit broken_link

<LinkCard title="agent_fs" description="Agent that can query files to accomplish tasks" href="/genaiscript/reference/scripts/system#systemagent_fs" />
<LinkCard title="agent_git" description="Agent that can query a repository using Git to accomplish tasks. Provide all the context information available to execute git queries." href="/genaiscript/reference/scripts/system#systemagent_git" />
<LinkCard title="agent_github" description="Agent that can query GitHub to accomplish tasks" href="/genaiscript/reference/scripts/system#systemagent_github" />
<LinkCard title="agent_interpreter" description="Run code interpreters for Python, Math. Use this agent to ground computation questions." href="/genaiscript/reference/scripts/system#systemagent_interpreter" />
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54 changes: 13 additions & 41 deletions docs/src/content/docs/reference/scripts/system.mdx
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Expand Up @@ -101,60 +101,32 @@
Agent that can find, search or read files to accomplish tasks



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The description for the `agent_fs` tool has been removed, which may leave users without necessary context or information about the tool's purpose.
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The description for the agent_fs tool has been removed, which may leave users without necessary context or information about the tool's purpose.

generated by pr-docs-review-commit missing_content

- tool `agent_fs`: Agent that can query files to accomplish tasks


`````js wrap title="system.agent_fs"
system({
title: "Agent that can find, search or read files to accomplish tasks",
})

const model = env.vars.agentFsModel

defTool(
"agent_fs",
"Agent that can query files to accomplish tasks",
defAgent(
"fs",
"Queries files to accomplish tasks",
"Your are a helpfull LLM agent that can query the file system to accomplish tasks.",
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There seems to be a typo here.

generated by pr-docs-review-commit typo

{
query: {
type: "string",
description: "Query to answer",
},
},
async (args) => {
const { context, query } = args
context.log(`agent fs: ${query}`)
const res = await runPrompt(
(_) => {
_.def("QUERY", query)

_.$`Your are a helpfull LLM agent that can query the file system to accomplish tasks.

Analyze and answer QUERY.

- Assume that your answer will be analyzed by an LLM, not a human.
- If you are missing information, reply "MISSING_INFO: <what is missing>".
- If you cannot answer the query, return "NO_ANSWER: <reason>".
`
},
{
model,
system: [
"system",
"system.tools",
"system.explanations",
"system.fs_find_files",
"system.fs_read_file",
"system.fs_diff_files",
"system.retrieval_fuzz_search",
"system.md_frontmatter",
],
label: "agent file system",
}
)
return res
model,
tools: [
"fs_find_files",
"fs_read_file",
"fs_diff_files",
"retrieval_fuzz_search",
"md_frontmatter",
],
}
)
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The 'agent_fs' tool has been refactored to 'defAgent' with a simplified interface. Verify that the documentation reflects the correct usage and that examples are updated to match the new interface.

generated by pr-docs-review-commit documentation_update

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The agent_fs tool has been refactored to defAgent. Ensure that the documentation reflects the new usage and that examples or references to the old agent_fs are updated accordingly.

generated by pr-docs-review-commit documentation_content


Check failure on line 129 in docs/src/content/docs/reference/scripts/system.mdx

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The detailed documentation and example usage for the `agent_fs` tool have been replaced with a less informative `defAgent` call, reducing the amount of information available to the user.
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The detailed documentation and example usage for the agent_fs tool have been replaced with a less informative defAgent call, reducing the amount of information available to the user.

generated by pr-docs-review-commit missing_content

`````


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27 changes: 25 additions & 2 deletions genaisrc/genaiscript.d.ts
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27 changes: 25 additions & 2 deletions packages/auto/genaiscript.d.ts
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27 changes: 25 additions & 2 deletions packages/core/src/genaisrc/genaiscript.d.ts
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52 changes: 12 additions & 40 deletions packages/core/src/genaisrc/system.agent_fs.genai.mjs
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Original file line number Diff line number Diff line change
Expand Up @@ -4,46 +4,18 @@ system({

const model = env.vars.agentFsModel

defTool(
"agent_fs",
"Agent that can query files to accomplish tasks",
defAgent(
"fs",
"Queries files to accomplish tasks",
"Your are a helpfull LLM agent that can query the file system to accomplish tasks.",
{
query: {
type: "string",
description: "Query to answer",
},
},
async (args) => {
const { context, query } = args
context.log(`agent fs: ${query}`)
const res = await runPrompt(
(_) => {
_.def("QUERY", query)

_.$`Your are a helpfull LLM agent that can query the file system to accomplish tasks.

Analyze and answer QUERY.

- Assume that your answer will be analyzed by an LLM, not a human.
- If you are missing information, reply "MISSING_INFO: <what is missing>".
- If you cannot answer the query, return "NO_ANSWER: <reason>".
`
},
{
model,
system: [
"system",
"system.tools",
"system.explanations",
"system.fs_find_files",
"system.fs_read_file",
"system.fs_diff_files",
"system.retrieval_fuzz_search",
"system.md_frontmatter",
],
label: "agent file system",
}
)
return res
model,
tools: [
"fs_find_files",
"fs_read_file",
"fs_diff_files",
"retrieval_fuzz_search",
"md_frontmatter",
],
}
)
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