Architect Explore Agent

Explore an agent's context

Before recommending or changing anything, gather just enough of the agent's current configuration to act. Fetch narrowly. Do not pull the whole config every time.

Host https://api.elevenlabs.io, header xi-api-key: $API_KEY. The engineer supplies $API_KEY, $AGENT_ID, and $BRANCH_ID where relevant.

1. Read only what the task needs

Get the agent scoped to the branch:

curl -s "https://api.elevenlabs.io/v1/convai/agents/$AGENT_ID?branch_id=$BRANCH_ID" \
  -H "xi-api-key: $API_KEY"

This one response carries the whole config: name, conversation_config.agent.prompt.prompt (system prompt), conversation_config.agent.prompt.llm, conversation_config.agent.language, conversation_config.tts.model_id and voice_id, conversation_config.agent.prompt.tool_ids, guardrails, and the workflow. Read the fields the task needs and ignore the rest. The whole config is large, so do not re-fetch it to read one leaf you already have.

2. Add narrow follow-up reads only when the task touches them

• To inspect a specific tool, take its id from conversation_config.agent.prompt.tool_ids and get just that tool: GET /v1/convai/tools/{tool_id}. Do not re-fetch the agent to read one tool.
• For procedures, list names and triggers with GET /v1/convai/agents/$AGENT_ID/branches/$BRANCH_ID/procedures, then get one body by id with GET /v1/convai/agents/$AGENT_ID/branches/$BRANCH_ID/procedures/{procedure_id}.
• For past conversations, GET /v1/convai/conversations?agent_id=$AGENT_ID, then GET /v1/convai/conversations/{conversation_id} for a transcript. These carry customer PII and analysis. Do not copy them into other systems or logs, and respect zero-retention-mode accounts. For anything beyond a glance at one or two calls — pagination, which fields the list payload actually carries, aggregating a window, sampling — use architect-review-live-calls, which owns that pattern.

Make independent reads in parallel where they do not depend on each other, each still narrowly scoped.

3. Identify the active setup

From what you fetched, note the active LLM, voice, TTS model, language, and any configured tools or custom guardrails.

4. Summarize, then ask

State the current setup in one concise sentence, then ask what the engineer wants to improve before pulling anything more. An empty workflow (only the start node with no edges) is the default state, not a custom configuration. If the agent has procedures but no workflow nodes, describe it as a procedure-driven agent with no workflow configured.