VM0Integration
Axiom
Cloud-native observability platform for logs and analytics
Axiom is a cloud-native observability platform for storing, querying, and analyzing log and event data at scale using APL (Axiom Processing Language).
Required Environment
| Name | Type | Description |
|---|---|---|
AXIOM_API_TOKEN | secret | API token from Axiom Settings |
AXIOM_PERSONAL_ACCESS_TOKEN | secret | Personal access token for full account access (optional) |
AXIOM_ORG_ID | var | Organization ID (required when using PAT) |
Configuration
version: "1.0"
agents:
my-agent:
provider: claude-code
skills:
- https://github.com/vm0-ai/vm0-skills/tree/main/axiomRun
vm0 run my-agent "query error logs from last hour" \
--secrets AXIOM_API_TOKEN=xaat-xxxExample Instructions
# Log Analysis Agent
You use Axiom to analyze application logs and events.
## Workflow
1. Receive log query requirements
2. Construct APL query for the dataset
3. Execute query and analyze results
4. Summarize findings and anomalies
## APL Query Examples
- Filter by level: `["logs"] | where level == "error"`
- Count by group: `["logs"] | summarize count() by service`# Metrics Ingestion Agent
You use Axiom to ingest metrics and events.
## Workflow
1. Collect metrics data from the application
2. Format data as JSON array
3. Ingest to the appropriate dataset
4. Verify ingestion success
## Guidelines
- Batch events for better performance
- Include timestamps in events
- Use appropriate dataset names