Web API (v0.8+)#
oxo-flow includes a built-in REST API server for building, validating, running, and monitoring bioinformatics workflows. The server is built with axum and follows a domain-driven modular monolith architecture.
API Design Conventions#
- Envelope: success responses are bare JSON objects/arrays; errors are
{ code, message, detail?, suggestion? } - Errors:
{ code: "E001", message, detail?, suggestion? } - Lists:
GET /api/runsreturns a cursor-paginated envelope{ items, next_cursor, total }(limit ≤ 500,status/qfilters); other list endpoints return bare arrays (≤ 100 items) - Versioning:
/api/prefix for all endpoints - Authentication: in team/hpc mode, protected endpoints accept a
Authorization: Bearer <token>session token or anX-API-Keyheader. The generated OpenAPI spec atGET /api/openapi.jsondeclares bothbearerAuthandapiKeysecurity schemes; public endpoints (health, login, license, openapi.json, etc.) require no auth. - Self-discoverable: OpenAPI 3.1 spec at
GET /api/openapi.json. The spec is code-generated via utoipa from the#[utoipa::path]annotations on every route handler — there is no hand-maintained static file.crates/oxo-flow-web/tests/openapi_gate.rsis the drift gate: it asserts every route in the router appears in the generated spec, so a new route without an annotation fails CI.
Structured Error Format#
All errors return a unified JSON format:
{
"code": "AUTH_REQUIRED",
"message": "Authentication is required for this endpoint",
"detail": "The request did not include a valid session token or Bearer token",
"suggestion": "Please login at POST /api/auth/login to obtain a session token"
}
Rate limiting follows the same contract: over-limit requests get
429 {"code":"RATE_LIMITED", "message":"Rate limit exceeded", "detail":"retry in Ns", ...}
with a Retry-After header (sliding window, 100 requests / 60 s per
client IP by default).
Starting the Server#
# Mode 1: Personal (default) — SQLite, no auth, localhost
oxo-flow serve
# Mode 2: Team — auth enabled, network-facing
oxo-flow serve --mode team
# Mode 3: HPC — cluster-aware
oxo-flow serve --mode hpc
# Or via the standalone binary:
oxo-flow-web --mode personal -p 3000
System & Monitoring#
Health Check#
Returns status, version, mode, uptime, component health (database, filesystem, scheduler, AI provider), resource usage, and license info.System Info#
Returns OS, architecture, PID, uptime, and version. Team/hpc modes require authentication (the endpoint left the anonymous whitelist in the v0.11 hardening).Runtime Metrics#
Returns real-time resource metrics: CPU%, memory (used/total/swap), active workflows, total requests, CPU count. Team/hpc modes require authentication.Audit Logs#
Returns paginated structured audit entries:{
"entries": [{ "timestamp", "user", "action", "resource", "result" }],
"days": 7,
"page": 1,
"per_page": 50,
"total": 128
}
page defaults to 1 and per_page defaults to 50 (max 500). Team/hpc modes: admin-only (the trail spans every user's actions; personal mode keeps the localhost trust model).
Server-Sent Events#
SSE stream for real-time workflow execution events: terminal events (run_completed, run_failed, run_cancelled) plus per-rule events
(rule_started, rule_completed, rule_failed, rule_skipped — parsed
live from the engine's execution log). Keepalive is axum's 15-second
comment ping; if the client falls behind the broadcast buffer, the stream
carries a synthetic {"type":"lagged","data":{"missed":N}} event —
refetch run state when you see it.
Team/hpc modes require ?token=<session token> (EventSource cannot set
an Authorization header), and the stream is filtered to the subscriber's own
runs — admins see everything. Events carry a user field (the owning user
id, or null for system-wide events).
run_completed carries a summary field: the CLI's invalidation summary
extracted from the execution log — config changes, edited rule definitions,
and input-set changes that invalidated checkpoint records this run
(null when the run had no invalidation activity).
Authentication & Authorization#
Login#
Returns session token, username, and role.Check Session#
Returns{"authenticated": true, "username": "admin", "role": "admin"} or {"authenticated": false}.
License Status#
Returns license type, validity, commercial use flag, and contact info.Upload License#
Upload a commercial license file for validation and activation.Users (admin)#
GET /api/runs/{id}/preview # Instance-level dry-run plan (will_run/will_skip + expanded rule instances)
GET /api/users # List users (admin only)
POST /api/users # Create user
DELETE /api/users/{id} # Delete user
Pipeline Lifecycle (v0.8 /api/pipelines/*)#
The pre-v0.8
/api/workflows/*endpoints exist only as unserved legacy modules (see Web System Architecture); the running server exposes only the/api/pipelines/*API below.
Parse#
POST /api/pipelines/parse
Content-Type: application/json
{"toml_content": "<workflow TOML>", "format_version": "1.0"}
pipeline_id, name, version, rules (with summaries), dag (nodes + edges), stats. Pure function, zero side effects.
Validate#
POST /api/pipelines/validate
Content-Type: application/json
{"pipeline_id": "...", "toml_content": "<TOML>"}
{ valid, errors: [{ code, message, rule, suggestion }] }.
Prepare#
POST /api/pipelines/prepare
Content-Type: application/json
{"toml_content": "<TOML>", "resolve_wildcards": true, "apply_defaults": true}
expanded_rules_count, wildcard_combinations, environment_setup_cmds.
Build DAG#
POST /api/pipelines/dag
Content-Type: application/json
{"pipeline_id": "...", "toml_content": "<TOML>"}
{ nodes, edges, parallel_groups, critical_path, metrics } as structured JSON.
Format#
Returns canonical TOML formatting.Lint#
Returns{ valid, errors: [{ code, message, rule, suggestion }] } — validation errors plus lint-level findings (e.g. missing description).
Stats#
Returns aggregate pipeline statistics.Diff#
POST /api/pipelines/diff
Content-Type: application/json
{"toml_a": "<TOML A>", "toml_b": "<TOML B>"}
{ diffs: [{ path, category, description, severity }] }.
Export#
POST /api/pipelines/export
Content-Type: application/json
{"toml_content": "<TOML>", "format": "docker|singularity"}
List / Save / Get / Update / Delete#
GET /api/pipelines # List pipelines (most recent first, up to 100)
POST /api/pipelines # Save new pipeline
GET /api/pipelines/{id} # Get pipeline with TOML content
PUT /api/pipelines/{id} # Update pipeline
DELETE /api/pipelines/{id} # Delete pipeline
POST /api/pipelines/search # Search by name, tags, content
Execution & Runs#
Create Run#
POST /api/runs
Content-Type: application/json
{"toml_content": "<workflow TOML>", "max_jobs": 4, "dry_run": false, "keep_going": false, "pipeline_id": "<uuid>"}
max_jobs, dry_run, keep_going, and pipeline_id are top-level fields (not nested under a config object). Returns { run_id, status: "queued", estimated_resources, execution_plan }.
pipeline_id (optional) targets a saved pipeline: the run executes in the
pipeline's persistent working directory (workspace/users/<user>/pipelines/<id>),
so the checkpoint survives across re-runs. Re-running with a changed config
rebuilds exactly the rules referencing the changed keys (plus their DAG
downstream) — the rest keep their checkpoint records and are skipped. Runs
without pipeline_id get a fresh per-run sandbox and execute everything.
Malformed or unknown pipeline ids are rejected (400 INVALID_PIPELINE_ID /
404 PIPELINE_NOT_FOUND).
Execution flags are forwarded to the CLI executor:
dry_run: truespawns the preview subcommand (oxo-flow dry-run) — nothing executes; the log shows the would-be plan.max_jobsmaps to the executor's-jonly when explicitly set; without it the CLI default (1) applies (the resource estimate assumes 4).keep_going: truemaps to-k.
Run Status#
Real-time status:{ status, phase, nodes: [{ rule, status, started_at, duration_ms, exit_code }], timeline, resources }.
DAG Status#
DAG JSON with per-node live status. Color-coded: green=completed, blue=running, red=failed, gray=skipped.Diagnostics#
Deterministic error analysis:{ failed_nodes: [{ rule, error_pattern, likely_cause, suggestions, auto_fixable, fix_action, relevant_log_lines }], warnings, resource_bottlenecks }. Uses 30+ deterministic error patterns — zero AI in this endpoint.
Smart Retry#
POST /api/runs/{id}/retry
Content-Type: application/json
{"from_rule": "fastqc", "skip_succeeded": true}
new_run_id is a real run in
the database (same workdir, same owner), spawned with --resume-failed
--rerun so the failed rules re-execute despite their existing outputs and
the checkpoint's cascade invalidation re-runs their downstream dependents.
Returns { new_run_id, will_rerun: [...], will_skip: [...] }.
Cancel#
Cancels a running/pending run.Pause / Resume#
Pauses a running run ({"reason": "..."} optional) and resumes it ({"from_rule": "..."} optional).
Logs#
Returns full execution log.Results#
Returns output file tree with sizes and types.Files — download / preview / zip#
GET /api/runs/{id}/files?path=<relative-path>
GET /api/runs/{id}/files?path=<relative-path>&preview=true
- file → bytes with
ETag,Content-Disposition: attachment, and single-range support (Range: bytes=a-b→ 206; malformed/multi-range requests degrade to the full body per RFC 9110) - directory → a streaming STORE-mode zip (no temporary archive)
preview=true→ truncated JSON for text-ish formats (100 KB cap) or inline image bytes; other types return415 NO_PREVIEW- paths are sandboxed to the run's workdir (traversal rejected); sensitive filenames (.env, keys, credentials) are never served
Instances#
The sample×rule instance table: every expanded instance the checkpoint knows about (qc_auto-discovered_S1 → rule qc, group auto-discovered,
sample S1) with status, duration, and exit code — answers "which sample
under which rule failed".
Upload & list user inputs#
POST /api/files # multipart: field "path" (optional subdir) + file parts
GET /api/files # list the acting user's uploaded inputs
workspace/users/<user>/inputs/ (chunked to disk, 8 GiB
per-file cap).
Data Discovery#
Analyze Data#
POST /api/data/analyze
Content-Type: application/json
{"paths": ["/data/*.fastq.gz", "/data/*.bam"], "max_depth": 2}
{ files: [{ path, size, format, format_confidence, paired_with?, sample_name? }], summary, suggested_workflow }. Format detection uses filename extension matching — not AI.
Reference Discovery#
POST /api/data/reference
Content-Type: application/json
{"genome": "hg38", "components": ["fasta", "gtf", "star_index"]}
Templates#
Built-in and user-created pipeline templates. System templates are read-only. The list endpoint does not accept filter query parameters.Plugins#
Validate Plugin#
POST /api/plugins/validate
Content-Type: application/json
{"manifest": {"name": "...", "version": "1.0", "plugin_type": "rule"}, "trusted_keys": {"key1": "hex..."}}
{ valid, name, version, plugin_type, signature_valid, errors }.
AI (Phase 2 — calls deterministic APIs above)#
POST /api/ai/translate # NL intent → validated .oxoflow (JSON response)
POST /api/ai/translate/stream # Same, streamed over SSE (progress → done events)
POST /api/ai/explain # Explain run failure + suggest fix
POST /api/ai/interpret # Interpret results with caveats
POST /api/ai/optimize # Optimize pipeline parameters
GET /api/ai/config # Get AI provider configuration (public)
POST /api/ai/config # Update the shared provider (admin-only outside personal mode)
POST /api/ai/test # Test the provider (admin-only outside personal mode)
See AI Translation Layer for details.
Collaboration (Phase 3)#
POST /api/pipelines/{id}/fork # Fork into workspace (owner = session user)
POST /api/pipelines/{id}/share # Share (link or workspace; URL uses the bound port)
POST /api/pipelines/import # Import from oxo+https:// URL
GET /api/share/{token} # PUBLIC landing payload (no session required)
GET /api/share/{token} powers the share landing page: pipeline identity,
DAG rule order, TOML, owner, expiry, and the most recent terminal run —
the token itself is the authorization. Expired links return 410.
See Collaboration for details.
Version History#
GET /api/pipelines/{id}/revisions # Snapshot list (newest first, ≤ 50)
GET /api/pipelines/{id}/revisions/{rev} # One snapshot's full TOML
POST /api/pipelines/{id}/rollback # {"revision_id": ...} — restore
Run Administration#
POST /api/runs/{id}/clean # CLI clean on the run's workdir
POST /api/runs/{id}/resume-checkpoint # CLI resume from .oxo-flow/checkpoint.json
resume-checkpoint continues an unfinished run in place as a NEW run row
({"max_jobs": 2} optional). Both are ownership-checked like every other
run endpoint.
Webhooks#
GET /api/webhook # { enabled, url, secret_set, events, signature_scheme } — secret never echoed
PUT /api/webhook # {"enabled": true, "url": "https://...", "secret": "...", "events": [...], "signature_scheme": "..."}
sha256-keyed(default) —sha256(secret‖body), the pre-v0.12 format. The default keeps existing webhook consumers working across upgrades.hmac-sha256— RFC 2104 HMAC (X-OxoFlow-Signature: hmac-sha256=<hex>), the recommended opt-in for new deployments.
Admin-only outside personal mode — the endpoint is shared infrastructure.
API Keys#
POST /api/auth/keys # {"name": "ci-bot"} → { id, name, key } (shown once)
GET /api/auth/keys # The acting user's keys (hashes only)
DELETE /api/auth/keys/{id} # Revoke immediately
X-API-Key: oxo_... instead of a Bearer session.
Keys resolve to the same ownership context (a key's requests see exactly
what its owner sees), are stored as SHA-256 hashes, and revocation is
immediate.
Quota#
Runs pre-flight the quota tracker with the workflow's declared threads and
memory; over-limit requests get 429 QUOTA_EXCEEDED with the violation
list.
GET /api/quota # current limits and usage
PUT /api/quota # update limits (admin-only outside personal mode)
PUT /api/quota accepts { max_concurrent_runs, max_total_threads, max_total_memory_mb, max_runs_per_day }.
Usage is visible at GET /api/quota.
Cluster Connections & Remote Execution#
GET /api/clusters # configured SSH connections
POST /api/clusters # upsert (admin-only outside personal mode)
DELETE /api/clusters/{id}
POST /api/clusters/{id}/probe # SSH connectivity + scheduler detection
POST /api/runs accepts cluster_id: the run then stages its workdir to
the remote host (tar over stdio — no rsync), executes under a per-run
nohup wrapper, and pulls the results back on completion so every
downstream endpoint (logs, files, report) works unchanged. See
Run on a cluster.
HPC#
Returns scheduler status (SLURM, PBS/Torque, LSF, SGE), available queues, and node count. This route is only mounted when the server runs inhpc mode.
DAG Editing#
POST /api/pipeline/{id}/command # Apply an edit command (add/remove rule, connect, ...)
POST /api/pipeline/{id}/undo # Revert the last edit
POST /api/pipeline/{id}/redo # Re-apply the last undone edit
See DAG Edit API for the full command reference.
See Also#
- System Architecture — Domain-driven module structure
- Web System Architecture — Router design and middleware
- AI Translation Layer — AI integration design
- Diagnostics Engine — Error pattern library
- Deployment Modes — Personal/Team/HPC