Drafts and sends the interview invitation to a matched candidate using the recruiter's calendar details, from the correct regional careers mailbox. — 107 tasks (107 completed) on instance 1 plus 65 tasks (62 completed) on instance 2 in the 30 days to 2026-08-10
| Step type | Count | Rate | Subtotal |
|---|---|---|---|
| Code / integration steps | 5 | $0.025 | $0.125 |
| Model calls · standard tier | 3 | $0.1 | $0.3 |
| Other | 5 | — | $0 |
| Rate-card estimate, standard tier | $0.425 | ||
Instance 1 happy path: entry extraction $0.10 (std; Zoho trigger payload, no document parse) + Baserow_SearchRows TA-calendar lookup $0.025 + 'Extract Job Details' (JobURLConstructor) std model $0.10 + 'Generate Interview Invitation Email' std model $0.10 + Code Executor subject/addressing $0.025 + ONE of the two regional Gmail sends $0.025 = $0.375/run; the third Gmail node (missing-info email-back) is exception-branch only. One condition is llm_based on GPT4_1_MINI — if billed as a std call it adds $0.10 → $0.475. The menu 'book-the-interview' quote of $0.43 with intake sits inside that $0.375-0.475 band, so std-tier arithmetic and the menu agree; no measured per-run figure exists (catalog cost_basis 'none'), and the honest fallback is the menu price plus the 5-10x-lower at-cost band. Instance 2 (confirmation): entry $0.10 + EmailDataExtractor $0.10 + Zoho UpdateCandidateStatus $0.025 = $0.225 happy path, Gmail alert on the failure branch only.
Models seen in the graph: GEMINI_3_FLASH (preferredModel on InterviewEmailGenerator, JobURLConstructor, EmailDataExtractor, entry nodes); GPT4_1_MINI (llmModel on instance 1's conditions incl. the one llm_based condition); GEMINI_3_FLASH (llm_based condition on instance 2); GEMINI_25_FLASH (preferredModel on one instance-2 Gmail node); fallback chains GPT4_1/CLAUDE_4_SONNET and GPT4_1_MINI/GPT4_1/CLAUDE_4_SONNET; legacy preferred_model 'GPT40' on Gmail/Zoho tools
Graph read: ama-solution/04-agents/booth-s-workspace-production/prd-tainterviewagent-1/agent.json (13 nodes — matches the catalog's node count) AND prd-tainterviewagent-2/agent.json (10 nodes, the confirmation instance); breakdown below is instance 1
ama-solution/04-agents/booth-s-workspace-production/prd-tainterviewagent-1/agent.json · ama-solution/04-agents/booth-s-workspace-production/prd-tainterviewagent-2/agent.json · solution-intelligence/content/agent-catalog.json · solution-intelligence/content/menu.json · sol-booth/CLIENT.md · sol-booth/ACTIVITY_LOG.md · ama-solution/03-projects/26-hr/02-resources/module-library/09-面试邀约与排期.md