We will move this to shipyard

saas/AGENTS.md

@@ -1,60 +0,0 @@
-## Production Observability
-
-Grafana MCP tools provide access to production metrics and logs for performance analysis.
-
-### Datasources
-| Name | UID | Use |
-|------|-----|-----|
-| Thanos (Prometheus) | `PC96415006F908B67` | Metrics, latencies |
-| Loki | `e38bdfea-097e-47fa-a7ab-774fd2487741` | Application logs |
-
-### Key Metrics
-- `rails_request_duration_seconds_bucket:rate1m:sum_by_app:quantiles{app="fizzy"}` - Request latency percentiles
-- `rails_request_total:rate1m:sum_by_controller_action{app="fizzy"}` - Request rates by endpoint
-- `fizzy_replica_wait_seconds` - Database replica consistency wait times
-
-### Loki Log Labels and Query Patterns
-
-**Base label selector:**
-```logql
-{service_namespace="fizzy", deployment_environment_name="production", service_name="rails"}
-```
-
-**Useful JSON fields:** `event_duration_ms`, `performance_time_db_ms`, `performance_time_cpu_ms`, `rails_endpoint`, `rails_controller`, `url_path`, `authentication_identity_id`, `http_response_status_code`
-
-**Query patterns:**
-- Filter by fields: `{labels} | field_name = "value"`
-- Multiple field filters: `{labels} | field1 = "value1" | field2 = "value2"`
-- Reduce returned labels: `{labels} | filters | keep field1,field2,field3` (reduces label payload)
-- Minimize log line content: `{labels} | filters | line_format "{{.field_name}}"` (replaces raw log line)
-- Combine both for minimal tokens: `{labels} | filters | keep field1,field2 | line_format "{{.field1}}"`
-- **Important:** Fields are pre-parsed by the OTel collector. Don't use string search (`|=`) when filtering structured fields
-- **Important:** Do NOT use `| json` - it will cause JSONParserErr since fields are already parsed as labels
-
-**Token management (CRITICAL):**
-- Always probe with `limit: 3` first to check response size before running larger queries
-- Aggregations return time series (many data points), not single values - can explode token usage
-- NEVER use `sum by (field)` - returns a time series per unique value, easily exceeds token limits
-- For breakdowns by field: fetch raw logs with `| keep field | line_format "{{.field}}"` and count client-side
-
-**Aggregations for statistics (use instead of fetching raw logs):**
-- `mcp__grafana__query_loki_logs` returns limited results (default 10, max ~100) and large responses get truncated; use aggregations for statistics on large datasets
-- Count: `sum(count_over_time({labels} | filters [12h]))`
-- Percentiles: `quantile_over_time(0.95, {labels} | filters | unwrap field_name | __error__="" [12h]) by ()`
-- Average: `avg_over_time({labels} | filters | unwrap field_name | __error__="" [12h]) by ()`
-- Min/Max: `min_over_time(...)` / `max_over_time(...)`
-- The `| unwrap field_name | __error__=""` pattern extracts numeric values from pre-parsed labels
-- Use `by ()` or wrap in `sum()` to avoid cardinality limits
-
-**Documentation:** For advanced LogQL syntax (aggregations, pattern matching, etc.), consult https://grafana.com/docs/loki/latest/query/
-
-### Instrumentation
-Yabeda-based metrics exported at `:9394/metrics`. Config in `config/initializers/yabeda.rb`.
-
-### Sentry Error Tracking
-Organization: `basecamp` | Project: `fizzy` | Region: `https://us.sentry.io`
-
-Use Sentry MCP tools to investigate production errors:
-- `search_issues` - Find grouped issues by natural language query
-- `get_issue_details` - Get full stacktrace and context for a specific issue
-- `analyze_issue_with_seer` - AI-powered root cause analysis with code fix suggestions