106 lines
5.1 KiB
Markdown
106 lines
5.1 KiB
Markdown
# 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)
|
|
1. `chat()` - 12 edges
|
|
2. `get_redis()` - 11 edges
|
|
3. `gpu_active_count()` - 9 edges
|
|
4. `is_gpu_busy()` - 9 edges
|
|
5. `select_best_gpu()` - 8 edges
|
|
6. `route()` - 8 edges
|
|
7. `route()` - 6 edges
|
|
8. `check_gpu_health()` - 6 edges
|
|
9. `available_models()` - 6 edges
|
|
10. `estimate_tokens()` - 6 edges
|
|
|
|
## Surprising Connections (you probably didn't know these)
|
|
- `route()` --calls--> `available_models()` [INFERRED]
|
|
router/route_v2.py → router/router.py
|
|
- `route()` --calls--> `estimate_tokens()` [INFERRED]
|
|
router/route_v2.py → router/router.py
|
|
- `route()` --calls--> `is_gpu_busy()` [INFERRED]
|
|
router/route_v2.py → router/router.py
|
|
- `route()` --calls--> `select_best_gpu()` [INFERRED]
|
|
router/route_v2.py → router/router.py
|
|
- `route()` --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 script`
|
|
These have ≤1 connection - possible missing edges or undocumented components.
|
|
- **5 thin communities (<3 nodes) omitted from report** — run `graphify query` to explore isolated nodes.
|
|
|
|
## Suggested Questions
|
|
_Questions this graph is uniquely positioned to answer:_
|
|
|
|
- **Why does `is_gpu_busy()` connect `Community 0` to `Community 4`, `Community 6`?**
|
|
_High betweenness centrality (0.061) - this node is a cross-community bridge._
|
|
- **Why does `select_best_gpu()` connect `Community 0` to `Community 4`, `Community 6`?**
|
|
_High betweenness centrality (0.031) - this node is a cross-community bridge._
|
|
- **Why does `estimate_tokens()` connect `Community 0` to `Community 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. with `route()` and `moe_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. with `route()` and `route()`) 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._ |