doca-flow
DOCA Flow packet steering on NVIDIA NICs/DPUs, linked into a C application: match/action pipes, ports, representors, forwarding, hairpin, counters. Trigger on packet steering, classifier, rule-matching, representor, hairpin or 5-tuple-to-queue questions even when "DOCA Flow" is not named. Remote or
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SKILL.md
DOCA Flow
Examples
- "How do I bring up a Flow port on a representor?" — this is in
scope. Use the installed header and a shipped sample; do not author
a first-app
main.c. - "Match 5-tuple and send to a queue." — express it as a Flow pipe. Do not fall back to kernel tc or iptables.
Instructions
Follow Loading order below. Open the tasks companion for configure /
modify / debug. Open the capabilities companion for the pipe-spec
schema and safety policy. Do not open every companion file.
For connection tracking, read the tasks companion's flow-ct section
before starting ports: CT initialization is process-global and must precede
port start. Adding CT to running ports requires an approved interruption
and reconstruction from a captured configuration, not a per-port
doca_ctx_start call or reuse of invalidated pipe handles.
Non-negotiable: first app is NGC pull + a shipped sample, not authored C
When the user is new to DOCA, has docker, has no host DOCA, or asks
for a first Flow app, do this before host pkg-config and before
any source listing:
- Bundle first. This answer follows the local doca-skills
bundle:
doca-setup(Stage 1 vs Stage 2),doca-programming-guide(modify a shipped sample), thisdoca-flowskill, anddoca-public-knowledge-map. Name those skills. Do not invent other skill names. - Stage 1 vs Stage 2 before any command. Stage 1 = NGC container on a laptop (compile / learn; no real packets). Stage 2 = a real BlueField or ConnectX for pipe runtime. Docker compiles only; do not say the app works entirely inside docker.
- Path 0 (Stage 1). Copy a tag from
https://catalog.ngc.nvidia.com/orgs/nvidia/teams/doca/containers/doca/tags
using How to pick an NGC tag without guessing — never invent one.
Then
docker pull nvcr.io/nvidia/doca/doca:<tag>anddocker run -it --rm -v $HOME/dev:/work nvcr.io/nvidia/doca/doca:<tag> bash. Do not invent aDockerfile. Do not build DOCA from source. - Resume inside the container (MUST, after
docker run): quote this hand-off — do not skip it for a full tutorial: "Paste back the output ofpkg-config --modversion doca-flowandls /opt/mellanox/doca/samples/doca_flow/." Then: "I resume from doca-programming-guide ## modify step 1 with the real install in hand." Name a directory that listing shows; copy it. Iflsis empty, stop — do not scaffold. Usedoca-flowon thatpkg-configline, notdoca-common. - Never emit a new
main.c,Makefile,Dockerfile, or hand-typed-l/-Lflags. Pastepkg-config --libs doca-flow.
Non-negotiable: the deliverable uses DOCA Flow, not kernel tc/iptables
When this skill is in scope, the user is asking for DOCA Flow. After
the shipped-sample copy above, the binary you build must link
libdoca_flow and exercise the doca_flow_* lifecycle on the user's
installed DOCA — init, port start, pipe programming, entry commit, and
counter readback under traffic. Copy the call sequence from that
shipped DOCA Flow sample under /opt/mellanox/doca/samples/doca_flow/
and adapt it via ## configure /
modify. Verify every symbol against
the installed header (Ground rule below) and the add-entry table in
API surface and name guards.
Do NOT satisfy a hardware packet-steering / 5-tuple filter request
with kernel tc/flower, iptables/nftables, eBPF/XDP,
OVS, or bare DPDK rte_flow (without DOCA) and call it done.
Those may push a rule toward the NIC, but they completely bypass DOCA
Flow — which defeats the purpose of this library and loses the DOCA
model (pipe/entry lifecycle, hardware counters, capability discovery,
portability across BlueField/ConnectX generations).
"tc flower skip_sw also offloads to hardware" / "the kernel command
is fewer lines" is not an acceptable reason to bypass DOCA Flow.
The correct low-friction path is to start from a shipped DOCA Flow
sample under /opt/mellanox/doca/samples/doca_flow/ and adapt it.
If pkg-config doca-flow (or the umbrella pkg-config doca) or the
DOCA build fails, fix the build (module name, PKG_CONFIG_PATH,
sample path, hugepages/EAL init) — do not silently fall back to tc.
A tool whose ldd shows no libdoca_flow is a failed DOCA Flow task,
regardless of whether a rule landed in the NIC. Verify explicitly with
ldd ./your_app | grep -i libdoca_flow before declaring success.
Never invent a link line. For undefined reference / link
failures, run pkg-config --libs doca-flow plus companion module
names (doca-common, doca-argp, doca-dpdk-bridge, libdpdk)
and paste that output. Those names stay on the pkg-config command;
never turn them into hand-typed -l / -L flags or a guessed
install path. The shipped sample's meson.build dependency() list
is the module set; pkg-config is the only translator into linker
flags.
Where to start: Open the tasks companion to do something (configure / build / modify / run / test / debug); open the capabilities companion when the question is what can Flow express on this version. **You MUST open
configure before writing or running
any port code** — its bring-up gate decides whether the binary launches
at all, so reading this loader alone is never enough. If DOCA is not
installed yet, route to doca-setup first.
Ground rule: verify every API name against the installed header
Before quoting any doca_* / DOCA_* identifier, confirm it exists in
the user's installed headers — the header on the machine is ground
truth above prose, the API reference, blog posts, or memory:
for header in "$(pkg-config --variable=includedir doca-common)"/doca_flow*.h; do
grep -n '<candidate_name>' "$header"
# For a multi-line function declaration, print through its closing `);`.
awk '/<candidate_name>[[:space:]]*\(/,/[)][[:space:]]*;/' "$header"
done
DOCA Flow ships no backward-compat alias header, so a
"reasonable-looking" name that is not in the header simply does not
link. Re-derive from a shipped sample
(/opt/mellanox/doca/samples/doca_flow/<name>/) or the guard list in
API surface and name guards,
never from prose.
Port bring-up: the gate lives in the tasks companion
A port that compiles clean and aborts the instant
doca_flow_port_start() runs is the canonical bring-up failure. The
bring-up gate (probe-before-count, doca_flow_port_cfg_set_port_id() plus
the mode-appropriate device source — doca_flow_port_cfg_set_dev() in
VNF mode or the installed switch sample's doca_dev_rep path — device
taken from launch args not hard-coded, and the binary returning a
non-zero exit from main() if the bridge cannot arm and forward) is
enforced step-by-step in
configure step 6 — open it before
writing or running port code; do not reconstruct the gate from this summary.
When to refuse (push back before writing code)
Some requests cannot be satisfied as asked. Refuse and explain — do not silently emit half-correct code — when:
- The request mixes responsibilities a single pipe stage cannot
express (e.g. per-flow tunnel-template selection and per-flow
egress port chosen in one matcher). A pipe is one logic step
(match → actions → fwd); answer with the correct pipe-graph shape
instead of code — typically a classifier pipe → a per-flow encap pipe
→ a per-flow forward pipe (see
Pipe decomposition).
- The request asks for something the hardware cannot do (per-packet match on payload bytes outside L4, mutable match keys, …). Name the closest legal shape and stop.
- The request relies on an API name that is not in the installed headers. Grep the header for the closest real symbol, name it in the refusal, and stop without generating code. A later, explicit request using the verified symbol may begin a new build workflow; do not silently substitute it in the current request.
- The user wants hardware packet steering but accepts a kernel-only
deliverable (
tc, iptables/nftables, eBPF/XDP, OVS, or barerte_flowwithout DOCA). Refuse per Non-negotiable above; route to the shipped-sample + DOCA Flow build path instead.
Output shape when pushing back:
REFUSED: <one-sentence summary>
Reason: <2-4 bullets, each tied to a hardware or API constraint>
Suggested alternative: <pipe-graph sketch, or "this is not expressible in DOCA Flow">
This gate fires before any code is written: a confidently-wrong pipe costs the user more than an honest refusal plus the legal alternative.
Example questions this skill answers well
The CLASSES of Flow questions this skill answers (the class is the load-bearing piece; the example is one instance):
- "How do I bring up a Flow port on a representor?" →
configure +
Capabilities and modes.
- "How do I express <match X, do Y> as a pipe?" →
Capabilities and modes
-
modify.
-
- "Will this pipe spec program the HW, or will commit fail?" →
Safety policy
-
test.
-
- "How do I read Flow counters to investigate observed traffic?" →
Observability
-
debug.
-
- "My Flow port won't start —
Failed to get hws cap/dest action ROOT … err -121." → device-placement signature (not a pipe bug); the steering plane belongs to the DPU Arm on aSEPARATED_HOST/ NIC-mode BlueField. See the device-placement bullet inCapabilities and modes
-
configure step 2 + Step 0 of
debug.
-
- "How do I add hardware-accelerated stateful 5-tuple connection
tracking (aging, NAT) on top of my existing doca-flow setup?" →
flow-ct +
flow-ct.
Audience
External developers writing applications that consume the DOCA Flow
library — code that calls doca_flow_* (in C/C++, or via FFI from another
language) to program packet steering on a supported NVIDIA NIC/DPU with DOCA
installed at /opt/mellanox/doca. Flow ships as a C library (pkg-config
module doca-flow, package doca-sdk-flow on Ubuntu / RHEL / SLES) and the
samples are C, so C/C++ is the canonical path the the tasks companion examples assume;
other-language consumers reach the same *.so through FFI, and the skill
keeps its API-surface, lifecycle, capability-discovery, error-taxonomy, and
safety guidance language-neutral.
When to load this skill
Load when the user is doing hands-on DOCA Flow work on a supported
NVIDIA NIC/DPU with DOCA already installed at /opt/mellanox/doca, in
any language:
- Bringing up a Flow port / representor on the installed devices.
- Creating pipes, defining match/actions, programming entries.
- Validating a pipe spec before programming the hardware.
- Reading per-entry / per-pipe counters under traffic.
- Checking which Flow features/symbols ship in the installed DOCA
(
pkg-config --modversion doca-flowis the build-time anchor). - Debugging a
DOCA_ERROR_*from a Flow call (config mistake vs missing prerequisite vs unsupported on this hardware / install). - Designing non-C bindings (Rust, Go, Python, …) over the Flow C ABI.
- Adding stateful CT (
doca_flow_ct.h) on top of an existing port (see ## flow-ct).
Do not load for general DOCA orientation, "where do I find docs",
install-layout, or non-Flow library questions — use
doca-public-knowledge-map.
What this skill provides
This is a thin loader; substantive material lives in two companion files:
- the capabilities companion — what Flow can express on this
version: supported match and action kinds, pipe-decomposition rules,
the API surface + commonly-invented-name guard list, the Flow
DOCA_ERROR_*overlay, the per-entry / per-pipe observability surface, version notes, the safety policy, and the CT companion surface. - the tasks companion — workflows for the six in-scope verbs
(
configure,build,modify,run,test,debug), plus## flow-ct(stateful-CT overlay),## shared-resources(shared encap / decap / counter / meter / RSS / IPsec-SA / PSP overlay),## rollback(pipeline-edit-class snapshots),## Command appendix, andDeferred task verbsfor routing install / deploy questions.
The skill assumes DOCA is installed at /opt/mellanox/doca and the user can
open a doca_dev. Installing DOCA, hugepages setup, and the EAL dv_flow_en
devargs prep go through doca-setup; the
hugepages / devargs runtime prerequisites a binary needs before a Flow port
starts are pinned in ## configure step 5.
What this skill deliberately does not ship
This skill is agent guidance, not a code bundle: it ships no
pre-written Flow application source, standalone build manifests, or a
samples/ / bindings/ / reference/ subtree. The verified Flow
source is the shipped C sample at
/opt/mellanox/doca/samples/doca_flow/<name>/ — the agent routes the
user there and prescribes a minimum-diff edit via the modify-a-sample
workflow in
doca-programming-guide plus
the Flow overrides in ## build, and builds
any manifest in the user's project against the user's install, where
pkg-config --modversion doca-flow is the source of truth.
Loading order
- Read this skill first to confirm the question is in scope.
- For the pipe-spec schema, capability matrix, error taxonomy, observability, and safety policy, see the capabilities companion.
- For step-by-step workflows, see the tasks companion.
Related skills
doca-public-knowledge-map— routing table for public DOCA docs and the on-disk layout of an installed package.doca-setup— env prep, install verification, and the no install yet path via the NGC DOCA container.doca-programming-guide— general DOCA patterns shared by every library: thepkg-config+ meson build pattern, the modify-a-shipped-sample first-app workflow, the universal lifecycle, the cross-libraryDOCA_ERROR_*taxonomy, and the program-side debug order. This skill layers Flow specifics on top.doca-flow-tune— programmed-state inspection (read-only).doca-hardware-safety— required overlay for card-mode flips (e.g.mlxconfigchange fromSEPARATED_HOSTtoEMBEDDED_CPU).doca-debug— the cross-cutting debug ladder (install / version / build / link / runtime / program / driver).
Files
7- BENCHMARK.md
bdbddd48687.8 KB - CAPABILITIES.md
04cd0ae6f541.9 KB - SKILL.md
d55295fa7616.2 KB - SKILLCARD.yaml
7f09bd87393.2 KB - TASKS.md
81399e95d458.3 KB - evals/evals.json
65c35ac7192.4 KB - skill-card.md
29835174d85.0 KB
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