Router Node
Purpose
This page defines what the Cortensor Router Node is, what it can do today, what is working in MVP form versus still being iterated, and how it fits into higher-level product surfaces such as Bardiel and the emerging Portal.
This is not only a description of a simple inference endpoint. The Router Node is increasingly the place where:
execution
validation
privacy
offchain data ownership
session routing
multi-session spreading
and agent-facing workflow primitives
come together as usable API surfaces.
1. What the Router Node Is
The Cortensor Router Node is the main execution and coordination layer between:
user-facing or product-facing requests, and
the underlying Cortensor network sessions, miners, validators, privacy/data flows, and offchain storage paths
At a high level, the Router Node is responsible for translating raw network capacity into usable API surfaces.
It is the layer that currently handles, or is evolving toward handling:
direct inference/completions
delegated execution
validation / grading / consensus
privacy-aware request preparation
offchain data flows and data ownership paths
request/session routing
multi-session spreading
product-facing surfaces for apps such as Bardiel and future Portal
A useful one-paragraph summary is:
The Cortensor Router Node is the execution and coordination layer between user-facing or product-facing requests and the underlying Cortensor network sessions. It currently supports direct completions, delegated execution, consensus-aware validation, privacy-aware request handling, offchain storage/data-ownership flows, multi-session request spreading, and integration into higher-level product surfaces such as Bardiel and the emerging Portal. It is evolving from a simple inference entry point into a broader agentic execution, trust, privacy, and coordination surface.
2. Capability Status Labels
When describing Router Node features, it is helpful to use a few consistent labels:
Working / in MVP form
Working in rough form
Implemented but still being iterated
Planned / likely next
Not yet part of the current router path
These labels matter because the Router Node already does a lot today, but not every surface is equally mature.
3. Core API Surfaces
3.1 Direct Inference / Completions
Current state: Working / MVP-to-rough form
The Router Node supports direct completion/inference paths across:
v1 completions
v2 completions
v3 completions
These are the simpler direct execution surfaces for standard inference requests.
Current capabilities
accepts inference requests
routes requests into configured sessions
supports offchain / encryption-aware preparation where relevant
supports multi-session routing for completions
can sit behind a router pool or reverse-proxy path
acts as the backend execution layer under hosted/product surfaces
Multi-session improvement
The Router now supports a newer env-based multi-session round-robin path for completions.
This means:
one completion endpoint can sit on top of multiple sessions
the Router can rotate requests across configured sessions
explicit caller-provided session selection can still win when supplied
v1/v2/v3 completion flows can share a cleaner session-spreading mechanism
This is important because session spreading is now part of Router behavior instead of requiring users or apps to manually rotate session IDs.
Current caveat
round-robin / session spreading is still fairly basic
this is not yet a full health-aware intelligent load balancer
it is best understood as a first multi-session distribution mechanism, not the final one
3.2 /delegate
/delegateCurrent state: Working in rough-to-MVP form, still under active iteration
/delegate is the Router’s execution / delegation primitive.
It answers the question:
“Take this task and do it for me.”
rather than:
“Just return one model completion.”
Current conceptual modes
A. Planning mode
Used when the request is about how work should be structured rather than directly executed.
Examples:
delegation plan
workflow design
routing strategy
validation plan
rollout plan
incident investigation plan
research plan
decision / recommendation framework
B. Execution mode
Used when the request is:
“Do the task and return the answer.”
Examples:
summarize
extract
classify
rewrite
compare
risk review
checklist generation
incident triage
structured extraction
policy / decision support
long-text chunk / summarize / reduce
lightweight synthesis
C. Router-assisted execution
Used when the Router gathers some context first and then returns the final answer.
Examples:
fetch one URL and summarize
fetch and extract facts
fetch and compare
fetch and research
read offchain content and explain / summarize
read safe onchain state and explain / summarize
D. Workflow / tool mode
If enabled, /delegate can use Router-side tools in a more orchestrated path.
Current tool groups mentioned in the work so far include:
fetch/search helpers
JSON utilities
CSV parsing
calculator / text utilities
chunk / map-reduce helpers
validation helpers
offchain read/write
web3 read
reranking
Version direction
v1 = earlier prompt-oriented execution primitive
v2 = structured objective/input/execution/policy contract
v3 = explicit redundancy and consensus-ready execution across multiple sessions
v4 = likely future direction for more programmable trust and reusable receipts/artifacts
Strategic direction
/delegate is treated as a core primitive because it represents:
execution outsourcing
specialization routing
agentic work assignment
Current limitations
internal delegate logic still needed iterative refinement
not all delegate modes are equally mature
heavier-input and more varied tests were still being run
one future direction is making
/delegatebehave more like a mini-agent or subset of a PyClaw-style loop
3.3 /validate
/validateCurrent state: Working in rough-to-MVP form, with major consensus gaps filled
/validate is the Router’s validation / grading / consensus primitive.
It is meant to answer questions such as:
should this result be trusted?
how many validators agree?
what disagreement exists?
should we accept / retry / escalate?
What /validate is today
/validate is todayIt is closer to:
redundant network validation
consensus-aware verdicting
explicit trust judgment
rather than just a simple score.
v3 model
/validate v3 supports explicit redundancy:
1 validator/session path
3 validator/session path
5 validator/session path
The Router:
selects sessions
runs validation
aggregates outputs
returns a final answer plus consensus-style metadata
Major improvement already made
A major earlier gap was that the Router could return too early on the first committed result.
That was improved in two parts:
Part 1 — wait for task end
opt-in completion/wait mode was added so the Router can wait for the task to fully end
the Router can now pull fuller result sets instead of returning too early
Part 2 — consensus helper
a Router-side consensus helper can now combine the available outputs into a final answer
rough logic includes majority-style or aggregated verdict behavior
Dashboard support
Because Router-side aggregated output is not always durably preserved in the same way as raw task outputs, the dashboards also recompute a similar consensus-style summary for /delegate and /validate for viewing and debugging purposes.
Strategic direction
/validate is treated as a core primitive because it represents:
network-native trust settlement
explicit multi-validator verification
decision-ready trust output for agent systems
Current limitations
v3 still does not fully include an outcome loop / rework loop / evaluation event model
this is where a likely v4 direction may borrow from stronger outcome-style validation loops
current
/validateis more of a consensus/judge primitive than a full “grader inside the work loop” system
3.4 /factcheck
/factcheckCurrent state: Planned / aligned with the same family as /validate
/factcheck is repeatedly discussed as belonging to the same family/pattern as:
/delegate/validate
It likely follows the same v3-style redundancy/consensus path.
It is not as deeply covered in current execution work as /delegate and /validate, but it is clearly part of the same direction.
3.5 Agent-Facing / Adapter Surfaces
Beyond the core REST endpoints, the Router Node is also evolving into a broader product and agent-facing surface.
Current or emerging adapter surfaces include:
REST endpoints
MCP server / MCP proxy layer
x402 / pay-per-call paths on selected endpoints
discovery / agent-card style surfaces for agent ecosystems
backend surfaces used by Bardiel and Portal
These adapter layers matter because they make the Router more usable by:
apps
hosted products
agents
protocol-facing integrations
rather than only by direct low-level callers.
4. Completion Paths and Session Routing
Historically, the Router could:
accept explicit session selection
use fixed/default session logic
That remains true, but session-routing capabilities are now expanding.
4.1 Single-session and explicit-session paths
Single-session execution still exists and remains a valid path, especially when:
the caller explicitly provides a session
a product/backend layer already selected the session
the use case wants stable single-session behavior
4.2 Multi-session round-robin for completions
Now implemented for completions:
one endpoint
multiple configured sessions
Router-side round-robin spreading
explicit session input can still override
This is the main current session-spreading feature in the Router itself.
4.3 Router-pool path
In productization / Portal V1 work, the Router increasingly sits behind:
Nginx / reverse proxy
router-pool grouping
API Gateway → router pool → router node request path
This means:
Gateway owns product/business/session-selection logic
router pool owns healthy-router distribution
Router Node owns actual execution
That separation is important and more precise than earlier rougher alternatives.
5. /delegate v3 and /validate v3 – Explicit Redundancy & Consensus
/delegate v3 and /validate v3 – Explicit Redundancy & ConsensusThe v3 evolution of /delegate and /validate is important enough to call out here directly.
5.1 What v3 changes
v3 makes redundancy and consensus explicit at the endpoint level, rather than keeping them only as an internal session detail.
For these endpoints, v3 supports:
replicas = 1 / 3 / 5session_poolaggregationstrategydisagreement_policy
That means the Router can:
choose 1, 3, or 5 sessions
run the same logical task across those sessions
gather their responses
aggregate them into a final result plus consensus metadata
5.2 Why this matters
For /delegate:
execution can now be spread across multiple sessions
the Router can compare outcomes rather than just trusting one path
For /validate:
validation becomes a consensus-aware judgment rather than one score from one path
For factcheck:
the same 1 / 3 / 5 pattern gives a cleaner trust story
5.3 Current v3 rough implementation shape
A high-level v3 request concept includes:
replicassession_poolaggregationdisagreement_policy
The Router must:
select the right sessions
fan out the same logical request
gather responses
produce a consensus result
This is now part of the current Router direction, not just a future idea.
6. Privacy Feature 1.0
Current state: Working in MVP form
Privacy Feature 1.0 is a major Router-adjacent capability.
The Router is part of the path for:
session-scope privacy / encryption
task-scope privacy / encryption
key retrieval / privacy-aware flows
privacy-aware request handling
Current supported forms
session-scope encryption
task-scope encryption
Dedicated vs ephemeral
Privacy Feature 1.0 works across:
dedicated nodes
ephemeral nodes
Current caveat
Task-scope privacy has more UX friction on dashboard/manual inspection flows because:
every task may require its own key retrieval/signing path
But Router-side/backend support for task-level key retrieval exists.
Practical significance
This is one of the main reasons the Router is no longer “just an inference endpoint.” It is part of the privacy path itself.
7. Offchain Storage v3 and Data Ownership
Current state: Working in MVP form
Offchain Storage v3 is the current Router-side data-ownership / offchain-storage path.
It supports:
router-managed offchain storage references
configurable offchain backends
offchain inputs and outputs
result URN handling
deferred-write support for ephemeral nodes
7.1 Dedicated-node path
Dedicated-node offchain v3 flow works more directly because dedicated nodes can work with the configured storage path more cleanly.
7.2 Ephemeral-node path
Ephemeral nodes should not receive broad storage credentials.
So a deferred-write flow was introduced:
Router stores input offchain first
miner reads input
miner commits result URN
miner sends result content back to Router after commit
Router verifies assignment / auth / signature / precommit relationship
Router writes actual result object into offchain storage
This closed a major data-management gap in rough/MVP form.
Strategic significance
This is why the Router is increasingly described as handling:
data privacy
data ownership via Router node
offchain result authority
not just execution.
8. Session Routing, Traffic Spreading, and Execution Distribution
The Router Node is increasingly responsible for request spreading and execution distribution.
8.1 Session-aware request distribution
The Router today can already:
work with explicit session IDs
use default sessions
round-robin across configured completion sessions
This is the beginning of Router-side job spreading.
8.2 Current limitation
The current spreading path is still fairly simple:
it is not yet a sophisticated health-aware or SLA-aware global scheduler
it is primarily a session-spreading mechanism for completions
8.3 Future direction
The clear design direction is toward smarter Router-side distribution:
better job distribution
better session awareness
more flexible spreading across session pools
richer quality/SLA-aware path selection
A recurring conclusion in the work so far is:
miner-side sequential execution is acceptable because inference is expensive and hardware-limited
Router-side request distribution is where intelligence should improve over time
9. Router Role in Portal V1
Current state: Actively being productized
In Portal V1, the Router Node becomes the backend execution layer underneath:
Portal web app
Portal API Gateway
router pools
managed dedicated-backed sessions
Current V1 routing shape
The current direction is:
user calls product-facing model alias
API Gateway chooses the session / backend route
request is forwarded into the router-pool path
router pool distributes to healthy router nodes
selected Router Node executes using the already-determined session path
So the clean separation is:
Gateway owns product/business/session-selection logic
router pool owns healthy-router distribution
Router Node owns actual execution
This is the important Portal role for the Router in V1.
10. Router Role in Bardiel and Other Product Surfaces
Router Nodes already back:
Cortensor endpoints
Bardiel endpoints
v3
/delegate+/validatedataset generationBardiel dashboard views
ongoing heavier-input testing
This means the Router is already functioning as:
shared execution layer
product backend
agent / trust surface backend
The same Router primitives are expected to underpin:
Bardiel
Corgent
Portal
future agent-facing product surfaces
11. Observability, Request Logs, and Usage Tracking
Current state: Working in rough form and actively being refined
At the Router side and product side more broadly, current work already covers:
API key consumption visibility
request tracking
usage visibility
logging / request-log refinement
task lists in dashboards
status categories such as completed / processing / stale
consensus-style summary rendering for
/delegateand/validatequality and node performance views
Still being refined
request visibility clarity
access logs
usage metering polish
per-request trace clarity
product-facing observability cleanliness
The key point is that observability already exists in rough form and is now being shaped into something more product-usable.
12. Quality / SLA / Oracle Interaction
These are not purely “Router Node features,” but they directly affect Router/session execution surfaces.
Current quality-related direction includes:
real periodic task probes
actual user-style task checks
quality stats
quality rank tables
node performance integration
SLA-based filtering in node selection
This matters because the Router/session path increasingly depends on:
better node quality selection
better request routing under variable node reliability
cleaner trust and SLA-aware product behavior
In other words, the Router is where backend quality signals start becoming actual execution choices.
13. Model Support Through the Router
The Router/session stack has already been extended to support newer model families, including:
Gemma 4 variants
Qwen 3.6 variants
These models are being used for:
dedicated-node experiments
eventual ephemeral-node support
PyClaw iteration
tool-calling quality checks
future Portal product surfaces
This matters because the Router is the layer where those models become actually usable through sessions and endpoints.
14. Router Node Today – What Is Solid vs What Is Still Rough
14.1 Solid / MVP Enough Today
These are solid enough to describe as MVP-level capabilities:
v1 / v2 / v3 completion paths
multi-session round-robin for completions
Privacy Feature 1.0
Offchain Storage v3 MVP
/delegateand/validateas usable v3 primitivesconsensus helper + task-end wait behavior for validate
Router-backed Bardiel surfaces
Router role in Portal baseline path
14.2 Rough but Working / Actively Iterated
These are working, but still actively being refined:
richer
/delegateworkflow / tool behaviorfull
/validateoutcome-loop modelheavier product-side logging/accounting polish
more advanced Router-side job distribution
router-pool + API Gateway integration polish
large-scale performance / load behavior
14.3 Likely Next
Near-term likely areas of iteration:
outcome-style validation loop on top of current
/validatesmarter Router-side job distribution
more advanced multi-session and pool-level execution behavior
stronger Portal production path
more PyClaw-aligned Router behavior
further productization of agent-facing and trust-facing surfaces
15. One-Paragraph Summary
The Cortensor Router Node is the execution and coordination layer between user-facing or product-facing requests and the underlying Cortensor network sessions. It currently supports direct completions, delegated execution, consensus-aware validation, privacy-aware request handling, offchain storage/data-ownership flows, multi-session request spreading, and integration into higher-level product surfaces such as Bardiel and the emerging Portal. It is evolving from a simple inference entry point into a broader agentic execution, trust, privacy, and coordination surface.
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