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A scan sent the whole report to one call under an 8000-token ceiling and validated the reply against a 100-row envelope. A long multi-panel report lost everything either way: the reply stopped mid-row and failed to parse, which the person saw as "try a clearer photo", or it held more than 100 rows and the schema refused all of them. One malformed row refused the lot as well. Reasoning models made it worse, because the call sent no reasoning setting and OpenAI, Codex and Claude's 5 generation reason by default against the same output allowance. A PDF of more than one page is now rendered and read a page per call on every provider (up to 20 pages), as many reads as the run's deadline allows, and the pages are merged in order with a reading printed twice listed once. A photo, a one-page PDF on a provider that reads PDFs, and OCR'd text up to 4000 characters stay one read; longer text is split at line boundaries. Each read carries an explicit reasoning off, so a model that can stop reasoning does and one that cannot gets its minimum budget on top of the answer's. A reply cut at the output limit is detected from the finish reason (Codex's incomplete stream included), keeps the rows that closed before the cut and is named in the result instead of retried; when no read produced a row the run fails as labs.ocr.outputLimit. A provider failure after the first page keeps the pages already read. Rows are validated one by one, the row cap is 400 for the scan and the commit, and a report past it keeps its first 400 and says how many it had. The run settles what the provider reported it spent rather than the fixed reservation, so a page-by-page read still counts against the day's budget in full.
docs/ — internal reference + operator playbooks
The user-facing documentation lives at https://docs.healthlog.dev — that's the canonical surface for self-hosting guides, integration walkthroughs, AI-provider setup, and the doctor-report workflow.
The files in this directory are the internal operator playbooks, audit notes, and machine-readable specs that ship alongside the source:
api/— the OpenAPI 3.1 spec for the native-client subset (iOS DTO codegen target). Seeapi/README.mdfor the preview commands. Also home to the MCP-server contract:api/mcp-capabilities.md(tools, resources, prompts, write model) andapi/mcp-skills.md(building a connector / skill).ops/— operator runbooks: deploy, backup / restore, encryption-key rotation, password reset and account recovery, env checks, TLS pinning, data repair. These are what an operator reaches for during an incident.self-hosting/— horizontal-scaling notes (HEALTHLOG_PROCESS_TYPE=web|worker|all) and the deploy-pipeline recipe. Routine install steps stay ondocs.healthlog.dev. Includesself-hosting/mcp.md— enabling the off-by-default MCP connector and pointing Claude.ai / ChatGPT / Claude Desktop at it, andself-hosting/sso.md— OIDC SSO login: IdP setup, the identity-pinning security model,OIDC_ONLYconsequences, and the break-glass runbook. Alsoself-hosting/geolite2.md— bringing your own offline GeoLite2 databases viaGEOLITE2_DIRinstead of sending login IPs to a third-party lookup. Andself-hosting/account-sharing.md— letting one account on the instance open another's health record: the three access levels, the eight sections a grant can be narrowed to, managed profiles for somebody with no login and the guardians who look after them, what revocation does and does not undo, and which trust properties of the instance are unchanged by any of it. Andself-hosting/support.md— reporting a problem: error ids, the support info every account can copy, the operator's redacted support report, and finding an error in the admin log.using/— notes on using the app that sit close to the code.using/search.mdcovers the command palette's record search: opening it, what it finds, how matching works, and its limits on very large and shared records.migration/— migration notes. Currently only v1.3 to v1.4; later releases are covered byCHANGELOG.mdand https://docs.healthlog.dev.integrations/— per-integration reference (Withings, Fitbit, Google Health, WHOOP, Apple Health, AI providers, data import).adr/— architecture decision records.security/— threat-model notes.diagrams/— architecture diagrams rendered through docs.healthlog.dev.releases/— release imagery.apple-store-connect-checklist.md— the iOS submission gate.codex-protocol-spec.md— Codex / ChatGPT OAuth protocol reverse-engineering notes.ui-guidelines.md— UI / a11y house style.
If you're a self-hoster looking to spin up an instance, start at https://docs.healthlog.dev or jump to the Quick Start in the project README.