5.1 KiB
Graph Report - . (2026-07-08)
Corpus Check
- Corpus is ~14,667 words - fits in a single context window. You may not need a graph.
Summary
- 91 nodes · 151 edges · 14 communities (9 shown, 5 thin omitted)
- Extraction: 93% EXTRACTED · 7% INFERRED · 0% AMBIGUOUS · INFERRED: 10 edges (avg confidence: 0.77)
- Token cost: 0 input · 0 output
Community Hubs (Navigation)
- Community 0
- Community 1
- Community 2
- Community 3
- Community 4
- Community 5
- Community 6
- Community 7
- Community 8
- Community 9
- Community 10
- Community 11
- Community 12
God Nodes (most connected - your core abstractions)
chat()- 12 edgesget_redis()- 11 edgesgpu_active_count()- 9 edgesis_gpu_busy()- 9 edgesselect_best_gpu()- 8 edgesroute()- 8 edgesroute()- 6 edgescheck_gpu_health()- 6 edgesavailable_models()- 6 edgesestimate_tokens()- 6 edges
Surprising Connections (you probably didn't know these)
route()--calls-->available_models()[INFERRED] router/route_v2.py → router/router.pyroute()--calls-->estimate_tokens()[INFERRED] router/route_v2.py → router/router.pyroute()--calls-->is_gpu_busy()[INFERRED] router/route_v2.py → router/router.pyroute()--calls-->select_best_gpu()[INFERRED] router/route_v2.py → router/router.pyroute()--calls-->available_models()[INFERRED] router/route_v3.py → router/router.py
Import Cycles
- None detected.
Communities (14 total, 5 thin omitted)
Community 0 - "Community 0"
Cohesion: 0.21 Nodes (14): route(), moe_spillover(), Spill 40% of MoE-first traffic to Dense to prevent Strix Halo overheating. O, route(), available_models(), estimate_tokens(), is_gpu_busy(), moe_spillover() (+6 more)
Community 1 - "Community 1"
Cohesion: 0.22 Nodes (4): api_state(), broadcast_loop(), fetch_state(), SyslogAI Harness Dashboard — Modern Design.
Community 2 - "Community 2"
Cohesion: 0.31 Nodes (9): check_gpu_health(), enqueue(), get_queue_depth(), get_redis(), health(), GET queue depth + circuit breaker state + GPU health., Nginx upstream health probe. Returns 200 if service is alive., Fallback endpoint — Nginx calls this when all GPU upstreams are down. (+1 more)
Community 3 - "Community 3"
Cohesion: 0.20 Nodes (10): _admin_auth(), admin_deprecation_summary(), admin_generate_key(), admin_keys(), admin_revoke_key(), Require admin key for management endpoints., List all API keys (masked) with agent, tier, and deprecation status., Summary of deprecated key usage (from Redis logs, if available). (+2 more)
Community 4 - "Community 4"
Cohesion: 0.28 Nodes (5): bcast(), get_metrics(), metrics(), metrics_circuit_breaker(), Expose circuit breaker status per model. Phase 1.
Community 5 - "Community 5"
Cohesion: 0.22 Nodes (9): get_redis(), gpu_decr(), gpu_incr(), half_open_probe(), is_circuit_tripped(), performance(), Check if a GPU host is currently blacklisted., Check if a GPU host can be un-blacklisted. (+1 more)
Community 6 - "Community 6"
Cohesion: 0.36 Nodes (8): check_gpu_health(), gpu_active_count(), gpu_health_score(), health(), metrics_gpu_health(), Get number of in-flight requests for a GPU., Score a GPU based on VRAM, temperature, and load. Lower = better., Live GPU health scores + circuit breaker + KPIs.
Community 7 - "Community 7"
Cohesion: 0.33 Nodes (7): chat(), check_rate_limit(), clean_response(), clean_unicode(), Store detailed performance record in Redis for analytics., Token bucket rate limiter using Redis. Returns (allowed, retry_after_or_remainin, store_perf_record()
Knowledge Gaps
- 1 isolated node(s):
maintenance.sh scriptThese have ≤1 connection - possible missing edges or undocumented components. - 5 thin communities (<3 nodes) omitted from report — run
graphify queryto explore isolated nodes.
Suggested Questions
Questions this graph is uniquely positioned to answer:
- Why does
is_gpu_busy()connectCommunity 0toCommunity 4,Community 6? High betweenness centrality (0.061) - this node is a cross-community bridge. - Why does
select_best_gpu()connectCommunity 0toCommunity 4,Community 6? High betweenness centrality (0.031) - this node is a cross-community bridge. - Why does
estimate_tokens()connectCommunity 0toCommunity 4,Community 7? High betweenness centrality (0.030) - this node is a cross-community bridge. - Are the 3 inferred relationships involving
is_gpu_busy()(e.g. withroute()andmoe_spillover()) actually correct?is_gpu_busy()has 3 INFERRED edges - model-reasoned connections that need verification. - Are the 3 inferred relationships involving
select_best_gpu()(e.g. withroute()androute()) actually correct?select_best_gpu()has 3 INFERRED edges - model-reasoned connections that need verification. - What connects
SyslogAI Harness Dashboard — Modern Design.,maintenance.sh script,Nginx upstream health probe. Returns 200 if service is alive.to the rest of the system? 28 weakly-connected nodes found - possible documentation gaps or missing edges.