Context And RTK
Inferoa uses context settings and RTK to reduce token waste while preserving the evidence required for accurate work.
Context Settings
context:
compression_threshold: 0.75
context_window: 256000
# Optional automatic compact trigger overrides:
# output_reserve_tokens: 16000
# compact_buffer_tokens: 12000
auto_compact_failure_limit: 3
compact_recent_file_limit: 5
compact_recent_file_token_limit: 5000
compact_recent_total_token_limit: 25000
protected_recent_loops: 3
engine:
provider: auto
startup: welcome
require_ready_before_chat: true
watch: true
By default, automatic compaction is triggered from usable headroom:
effective_window = context_window - output_reserve, then
trigger = effective_window - compact_buffer. If output_reserve_tokens or
compact_buffer_tokens are not configured, Inferoa derives bounded values from
the context window. Setting compression_threshold to a value other than the
default keeps the older ratio-based trigger as an explicit override.
Automatic compaction pauses after auto_compact_failure_limit consecutive
model-summary failures. Manual /compact remains available. Compaction retries
large summary requests as prefix-preserving, standalone, then trimmed
standalone payloads before falling back to deterministic memory. Recent read
file/resource evidence, the active plan, and invoked skills are attached to the
post-compact epoch with the configured caps. protected_recent_loops keeps
recent model and tool work visible. The context engine can use automatic
detection, CodeGraph, built-in behavior, or be turned off.
RTK Settings
rtk:
enabled: true
delivery: managed
version: 0.42.3
auto_download: true
Environment overrides:
INFEROA_RTK=false inferoa
INFEROA_RTK_PATH=/path/to/rtk inferoa
INFEROA_RTK_AUTO_DOWNLOAD=false inferoa
Operational Views
/context
/compact [instructions]
/tokenmaxxing
/tokenmaxxing trend
/tokenmaxxing signals
/context reports context usage and compression state. /compact forces a
conversation summary immediately and accepts optional summary instructions.
/tokenmaxxing reports RTK savings, prefix-cache safety, compact boundaries,
and token pressure alongside endpoint usage evidence. /tokenmaxxing trend
shows pageable metric charts; /tokenmaxxing signals shows raw lifecycle and
endpoint evidence.