Metis — Get Context
get_contextRetrieve relevant prior information from Metis memory within a token budget, returning progressive detail as budget allows. Uses semantic and keyword search, filtered by time and agent.
Instructions
Recall relevant prior context within a token budget.
Progressive disclosure: returns more detail when budget allows.
≤ 500 tokens → index only (type + first 12 words per entry)
≤ 2000 tokens → preview (type + first 40 words)
> 2000 tokens → full (complete content)
Combines semantic vector search (if fastembed available) with keyword
fallback, filtered to the last `days` days.
Args:
query: What you are looking for — natural language.
budget_tokens: How many tokens you can spend on context (default 2000).
agent_slug: Restrict to a specific agent's observations (optional).
days: How far back to search (default 90 days).
Input Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| days | No | ||
| query | Yes | ||
| agent_slug | No | ||
| budget_tokens | No |
Output Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| result | Yes |