Use Context Isolation
SkillProductivityGuides your agent to keep concurrent requests and async tasks from mixing their NeMo Relay tracing scopes.
Then ask your AI: use the Use Context Isolation skill
Details
Instructions available. Your AI can read the instructions. Execution depends on the setup they require.
Account requirements not reviewed. Check the skill instructions before use; Ahel provides instructions and does not run this skill.
No other account needed.
Add it as a step in a pipeline you build on Ahel, or connect Ahel to Claude, ChatGPT, Cursor, Claude Code or Codex and ask your AI to use it.
About this skill
Use this skill when concurrent requests, async tasks, threads, workers, goroutines, or agents need independent NeMo Relay scope stacks and correct ancestry propagation.
What this skill tells your AI
The instructions your AI receives, as published by nvidia/skills in skills/nemo-relay-instrument-context-isolation/SKILL.md and read by Ahel’s review.
Use this skill when an application runs concurrent requests, worker pools, async tasks, goroutines, or multiple agents in the same process. Treat scope-stack ownership as part of the request boundary.
Core Rule
Each independent request, agent, or workflow needs its own scope stack. Do not share one mutable stack across unrelated concurrent work unless you want shared ancestry and shared scope-local middleware.
Embedded Scope Model
- A root scope is always present, and pushed scopes form a parent-child tree beneath it.
- Scope hierarchy determines event parentage, lifetime boundaries, and visibility for scope-local middleware and subscribers.
- Standard scope types include
Agent,Function,Tool,Llm,Retriever,Embedder,Reranker,Guardrail,Evaluator,Custom, andUnknown. - Scope start and end events can carry semantic
inputandoutputpayloads when the scope represents a request, task, or meaningful result boundary. - Scope-local registrations disappear when the owning scope closes; use them for behavior that should not outlive a request or agent run.
- Mark events are useful for retries, checkpoints, interrupts, and important state transitions that are not full spans.
Per-Language Defaults
- Python: rely on task-local behavior via
get_scope_stack()andcontextvars, or explicitly propagate when work leaves the current execution context - Rust core: use runtime helpers such as
create_scope_stack(),current_scope_stack(), andset_thread_scope_stack(...)when an integration needs explicit stack ownership - Go: use
NewScopeStack()andScopeStack.Run(...)for goroutine-safe usage - Node.js: create and set a scope stack explicitly for the current execution
path with
createScopeStack()andsetThreadScopeStack(...)
Common Failures
- Events from different requests appear under one root UUID
- Scope-local middleware leaks across requests
- Worker-thread work runs without the expected active scope
- Integrations activate NeMo Relay without an explicitly initialized stack
- Relying on a thread-local stack after crossing async tasks, goroutines, or JS worker boundaries
Related Skills
nemo-relay-instrument-callsnemo-relay-plugin-observabilitynemo-relay-debug-runtime-integration
Signals
- GitHub stars
- 4k
- Forks
- 434
- Last commit
- Oct 2026
Advanced
- Item type
- skill
- Key
nemo-relay-instrument-context-isolation- Source
- github.com/nvidia/skills
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