docs/guides/ai-agent-tools.mdx
The AI Agent workspace can use a curated set of tools while it chats with you. You do not call these tools directly; the agent chooses them when your request needs resume data, supported provider web context, attachments, questions, or a resume patch.
Tool activity appears inside the conversation. Some activity is collapsed by default so the chat stays readable.
Applied resume patches are shown as a small inline Patch applied item. Open it to inspect the raw JSON payload.
<Frame caption="Patch details and tool activity in the AI Agent chat"> </Frame>| Tool | What it does | Example request |
|---|---|---|
read_resume | Reads the current AI draft and gives the agent the resume data it can safely edit. | "What are the weakest parts of this resume?" |
web_search | Uses the selected provider's native web search when that provider/model supports it. | "Research this company and adjust the summary for its product area." |
read_attachment | Reads extracted text from attached plain text, Markdown, or JSON files. Other supported attachments, such as images or PDFs, are passed to the model when the selected provider can use them. | "Use the attached notes to update the keywords." |
ask_user_question | Shows a question card with answer choices when the agent needs your decision. | "Ask me before changing the career narrative." |
apply_resume_patch | Applies a JSON Patch to the AI draft and stores a rollback snapshot. | "Change the visible name to Amruth Pillai." |
Resume patches are rooted at the resume data object. For example, the visible resume name is patched at /basics/name.
When a patch is applied:
Restoring an older patch rolls back that patch and any patches applied after it. If the resume changed after the latest agent patch, restore or apply can fail with a version conflict. In that case, ask the agent to retry from the latest draft.
Live web research is handled only by the selected AI provider's native web search tool. When the provider/model supports it, the agent can use web_search for current company, industry, role, or URL-based context.
When the provider/model does not support native web search, the agent still works for normal resume editing. If you ask it to browse, search the web, fetch a URL, or use current online context, it should tell you that live web research is unavailable with the selected provider/model and ask you to paste or attach the relevant content instead.
For self-hosted deployments:
FLAG_ALLOW_UNSAFE_AI_BASE_URL=true, which should only be used on trusted self-hosted deployments.Attach files from the chat composer when the agent needs extra context, such as:
Self-hosted deployments need S3-compatible storage for private agent attachments. Local filesystem storage rejects private objects.
Use direct prompts that tell the agent what context to use and how cautious to be:
Tool use can be limited by the selected provider, deployment configuration, or thread state.