Marie
4b15b949f3
Surfaces per-step "Logs" tabs in the workflow run side panel so users can see what each step actually did (model + tokens + tool calls for AI, console output for serverless functions, request/response for HTTP, recipients/body for Email). <img width="546" height="501" alt="ai_agent_without_websearch" src="https://github.com/user-attachments/assets/c6ca3518-9489-4484-a570-3d0569ff3b03" /> ## Storage - New `stepLogs` JSONB column on the `workflowRun` workspace entity, typed as `Record<string, WorkflowRunStepLog>` (keyed by step id). - Schema lives in `twenty-shared`: `workflowRunStepLogSchema` with a discriminated `details.type` union for `AI_AGENT | CODE | HTTP_REQUEST | EMAIL` — frontends and backends consume the same Zod-inferred type. - Field is added to existing workspaces via a workspace upgrade command (`2-9 add-workflow-run-step-logs-field`); the standard-object metadata declares it for new workspaces. - Writes happen atomically per step in `WorkflowRunStepLogWorkspaceService.setStepLog` using `jsonb_set`. That lets concurrent steps in the same run write their own keys without contending with the existing lock around `workflowRun.state`. - Per-step payload is hard-capped at 256 KB; anything larger is dropped with a `logger.warn`, so a pathological tool call can never bloat a row. See below for more information. ## How logs are produced **Aalmost everything was already being collected; this PR mostly persists and renders it.** - **AI agent** — `AgentAsyncExecutorService` already tracked token usage, model id, native web-search count, and the AI SDK's `steps[]`. We map those into the log via `mapAiStepsToToolCallLogs` (`searchVector` stripped from record outputs, per-call input/output capped at 32/64 KB, max 200 tool calls per step). The only new measurement is a wall-clock `durationMs` taken around `executeAgent`, and we now fold native web-search cost into the displayed `totalCostInDollars` (it was already billed, just not shown). - **Code / serverless function** — reuses the `console.log` output the function runner already returns (`logsByLevel`); `build-code-step-log.util` only repackages it. - **HTTP request** — built from the action's existing input/output via `build-http-request-step-log.util`. No new signals collected. - **Email (send / draft)** — added `sanitizedHtmlBody` + `plainTextBody` to the existing tool outputs (a small additive change), then `build-email-step-log.util` consumes them. No additional AI inference or external calls are made for logging — the cost is a small CPU overhead per step plus the JSONB write. ## Security The log surface intentionally shows whatever the workflow touched, which made redaction and sanitization the main design concern. - **HTTP — secrets in headers**: existing `SENSITIVE_HEADER_NAMES` set (Authorization, Cookie, …) replaced with `[redacted]` in both request and response. - **HTTP — secrets in URLs**: `SENSITIVE_URL_PARAM_NAMES` (e.g. `api_key`, `token`, `access_token`) replaced in the query string via `URL`-based parsing. - **HTTP — secrets in bodies**: `SENSITIVE_BODY_KEY_REGEX` deep-walks JSON request/response bodies (object input or stringified JSON) and redacts matching keys. Applied to the `error` field too, since transport-layer errors sometimes embed structured payloads. - **Email — XSS risk in body preview**: tool outputs now expose a server-side `sanitizedHtmlBody`; the log builder prefers it over the raw user-authored `input.body`, with `plainTextBody` as a second fallback. The original raw body is only used if sanitization didn't happen (e.g. tool failed before composing). - **AI — internal/noisy data**: `searchVector` (Postgres tsvector strings) is stripped from record outputs returned by Twenty tools to avoid leaking internal full-text-search payloads. - **DB bloat / runaway agents**: 256 KB per-step cap + 32 KB / 64 KB per-tool-call input/output cap + 200 tool calls per step. <img width="547" height="307" alt="logic_function" src="https://github.com/user-attachments/assets/dd4a3d16-67f2-434b-95b3-bdcaf9ed053d" /> ## More details on Log size & truncation Logs are stored in `workflowRun.stepLogs` (JSONB), keyed by `stepId`. ### Per-step cap Each step's log is hard-capped at **256 KB** (`MAX_STEP_LOG_BYTES` in `WorkflowRunStepLogWorkspaceService.setStepLog`). For ~99% of workflows this is roomy — typical real-world sizes: - Code / serverless function: 1–20 KB - HTTP request: 5–70 KB - Email: 5–30 KB - AI agent (a handful of tool calls): 5–50 KB ### Two layers of bounding 1. **Per-field truncation** in each builder (before writing): - **Code**: ≤ 500 entries, ≤ 4 KB per message, ≤ 8 KB stack trace - **HTTP**: ≤ 32 KB per body (request + response), UTF-8 byte-aware - **Email**: ≤ 8 KB body preview, UTF-8 byte-aware - **AI agent**: ≤ 32 KB tool input, ≤ 64 KB tool output, ≤ 200 tool calls/step 2. **Global per-step safety net** at write time: if the assembled `stepLog` still exceeds 256 KB, the write is **dropped entirely** with a `logger.warn`. The workflow itself keeps running unaffected. ### What this means in practice - **Safe**: workflow execution, step results, downstream steps — never blocked by log size. - **Safe**: iterators (each iteration overwrites the previous log for that `stepId`, so they can't accumulate). - **Safe**: step retries (same `stepId` is overwritten, not appended). - **Possible**: an AI agent step with many large tool outputs (e.g., 50+ heavy `web_search` calls) can exceed 256 KB → the **entire** step's log is dropped, side panel shows "No logs were recorded for this step". The user has no explicit signal that the log was dropped due to size (only server-side warn). - **Possible** (theoretical): a workflow with hundreds of distinct steps could push the row toward Postgres's internal ~256 MB jsonb limit. Beyond that, individual `jsonb_set` writes would error and be swallowed by the action's try/catch — workflow still completes. ### Possible future hardening (not in this PR) - Replace "drop entire log" with a stub that preserves the summary card (cost, duration, status) and marks `truncated.reason = 'size_cap'`. - Surface size-drops in the UI (similar to the existing `<StyledTruncatedNotice>`). - Emit a metric so dropped logs are observable in dashboards.
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Twenty gives technical teams the building blocks for a custom CRM that meets complex business needs and quickly adapts as the business evolves. Twenty is the CRM you build, ship, and version like the rest of your stack.
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Scaffold a new app with the Twenty CLI:
npx create-twenty-app my-app
Define objects, fields, and views as code:
import { defineObject, FieldType } from 'twenty-sdk/define';
export default defineObject({
nameSingular: 'deal',
namePlural: 'deals',
labelSingular: 'Deal',
labelPlural: 'Deals',
fields: [
{ name: 'name', label: 'Name', type: FieldType.TEXT },
{ name: 'amount', label: 'Amount', type: FieldType.CURRENCY },
{ name: 'closeDate', label: 'Close Date', type: FieldType.DATE_TIME },
],
});
Then ship it to your workspace:
npx twenty app:publish --private
See the app development guide for objects, views, agents, and logic functions.
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