Schema | Kingfisher Streaming Inference

Kingfisher Streaming Inference

Describes the environment variables required to run the server.

Name	Required	Description	Default
`KINGFISHER_API_KEY`	No	API key for the real HTTP scoring provider.
`KINGFISHER_LOG_PATH`	No	JSONL path to persist events.
`KINGFISHER_PROVIDER`	No	Provider type: 'stub' (offline) or 'real' (HTTP).	stub
`KINGFISHER_LOG_LEVEL`	No	Logging level.	INFO
`KINGFISHER_THRESHOLD`	No	Z-score magnitude that flags an event.	3.0
`KINGFISHER_AUDIT_PATH`	No	JSONL path to persist the audit chain.
`KINGFISHER_MIN_SAMPLES`	No	Per-stream samples before scoring leaves REVIEW.	30
`KINGFISHER_MAX_FEATURES`	No	Reject events with more features than this.	256
`KINGFISHER_MAX_EVENT_BYTES`	No	Reject events larger than this.	65536
`KINGFISHER_SCORING_ENDPOINT`	No	Endpoint for the real HTTP scoring provider.

Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.

This server publishes no instructions, or was last inspected before Glama recorded them.

Features and capabilities supported by this server

Protocol revision2025-11-25

Capability	Details
`tools`	{}

Functions exposed to the LLM to take actions

Name	Description
ingest_eventB	Score one event incrementally and append it to the audit chain.
verify_auditA	Recompute and verify the entire audit hash chain.
stream_statsC	Return running statistics for a stream.
export_auditA	Export audit records as a list for offline review.

Interactive templates invoked by user choice

Name	Description
No prompts

Contextual data attached and managed by the client

Name	Description
No resources

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