afv-library/skills/investigating-agentforce-d360/assets/dc/gateway_request_llm.sql
rjayagopal 20ae436442 @W-22707610 feat: add investigating-agentforce-d360 skill
Data Cloud 360° view of a single Agentforce session — DC-only, zero
Splunk dependency. Pulls 24 STDM + GenAI DMOs via the Data Cloud Query
REST API, assembles a hierarchical session tree (Interaction → Step →
Generation → GatewayRequest), and renders a human-readable markdown
summary with transcript + per-turn topic/action invocations + LLM
generations + tool calls + audit chain.

Migrated as a standalone Apache-2.0 skill from an internal hub plugin —
self-contained, no sibling-skill or plugin dependencies.

What this skill answers:
  - "Trace session <uuid>" / "Summarize what happened in <0Mw…>"
  - "Find escalated sessions today on Messaging in <org>"
  - Session discovery by time / agent / channel / outcome / conversation
    text when the user has no session id

What it does NOT answer (use a different surface):
  - Design-time architecture — use investigating-agentforce-architecture
  - Runtime planner availability — DC alone can't tell you which
    topic/action was eligible for the classifier on a given turn

Skill layout:
  - 8 Python pipeline modules (fetch_dc, assemble_dc, render_dc,
    discover_sessions, resolve_session, dc, storage, config)
  - 4 _shared helpers (paths, fs_guard, sql, __init__) with skill-scoped
    DATA_ROOT (~/.claude/data/investigating-agentforce-d360/)
  - 26 SQL templates under assets/dc/
  - 27 test files (367 tests + 18 subtests, 100% passing)
  - 3 reference docs (artifacts.md, dc_dmo_fields.md,
    dc_pipeline_contract.md)
  - SKILL.md (sf-skills frontmatter, license: Apache-2.0,
    metadata.version: "1.0")
  - README.md (external-facing quick-start)
  - tools/grant_allowlist.py (idempotent first-run permission grant)
  - tools/archive_data_dir.sh (opt-in stop-hook tarballer)

Quality gates:
  - pytest scripts/tests/: 367 passed + 18 subtests, 0 failures
  - npm run validate:skills: 62 of 62 skill(s) checked, 0 errors
  - Live end-to-end runs against 3 real Salesforce sessions exercising
    both the full-tree and STDM-lag gateway-direct render branches
  - 4 independent code-review rounds (correctness, security, markdown,
    architecture-critic) — all findings addressed

Customer-data hygiene: no live tenant ids, no internal sprint markers,
no hub/sibling-skill references. Synthetic fixtures look obviously
synthetic (`019dface-…` UUIDs, `0MwTESTMSG…` MessagingSession ids,
`00DTESTORG…` org ids, `MyAgent` placeholder agent name).

Sibling skill: investigating-agentforce-architecture (PR #278) — same
migration pattern, design-time metadata; complementary scope.
2026-05-28 20:57:52 +10:00

51 lines
1.6 KiB
SQL

-- Per-request LLM call diagnostics — reusable for any WHERE filter.
-- DMO: GenAIGtwyRequestLLM__dlm
--
-- Placeholders (substituted by scripts/dc.py.load_sql):
-- WHERE_CLAUSE — the filter expression, no "WHERE" keyword
-- ORDER_BY — full "ORDER BY <col>" or empty string
--
-- Child of GenAIGatewayRequest__dlm. Captures LLM invocation
-- diagnostics (latency, status, endpoint, region, model). Populated
-- only when Trust Layer gateway LLM telemetry is on.
--
-- The DMO is provisioned by default but rows only appear when the
-- gateway LLM telemetry is emitted. Join column pattern mirrors
-- GenAIGtwyRequestMetadata__dlm (same parent__c shape).
--
-- No `ssot__` prefix — fields end in `__c` directly. Note that org id
-- is `salesforceOrgId__c` on this DMO, not the usual `orgId__c`.
--
-- Joined via `parent__c = GatewayRequest.gatewayRequestId__c`.
SELECT
id__c,
parent__c,
endpoint__c,
region__c,
genAILLM__c,
llmCallStatus__c,
llmCallLatency__c,
llmErrorTrace__c,
metadata__c,
feature__c,
salesforceOrgId__c,
timestamp__c,
cloud__c
FROM GenAIGtwyRequestLLM__dlm
WHERE {{WHERE_CLAUSE}}
{{ORDER_BY}};
-- ============================================================================
-- EXAMPLE WHERE clauses (pass via where_clause=)
-- ============================================================================
-- All LLM diagnostic rows for a set of gateway request ids
-- WHERE → parent__c IN ('<req_id1>','<req_id2>',...)
-- ORDER BY → ORDER BY timestamp__c
-- Only failed LLM calls
-- WHERE → parent__c IN ('<req_id1>','<req_id2>')
-- AND llmCallStatus__c != 'success'