[checkpoint] Continue langgraph_agent at typed node boundaries
Nobody has claimed this yet.
Assessment
- Difficulty
- 5/5
- Estimated time
- Over a week
- Newbie friendliness
- 32/100
- Issue type
- Feature
- Clarity
- Mostly clear
- Activity status
- Active
- Tech stack
- python
- Domain
- ai, backend, distributed-systems
Research direction
Start in responses_api_agents/langgraph_agent/ and map the supported graph schemas, typed node states, and shared whitebox participant/versioned boundary records. Trace prepare, commit, process replacement, restore, and resume before implementing anything. Done means all listed acceptance criteria hold, including exact-once application, safe retries, fail-closed validation, and no replay of completed work.
Written by the indexing model from the issue text.
Description
Parent
Child of #3220 and #3024. No additional resource child.
State owner
responses_api_agents/langgraph_agent/ owns compiled graph state, concrete graph schema, messages, cookies, and next node for orchestrator, parallel-thinking, reflection, and ReWOO graphs.
Adapter requirements
Use the shared whitebox participant and versioned boundary records. Persist output items, usage, cookies, last model-call identity, resource revisions, remaining budgets, and typed agent-specific state. Commit only after all effects of an operation are durable. On attempt N+1, skip reseeding and do not repeat completed model, tool, verifier, or judge work.
Acceptance criteria
- Every supported graph serializes a typed node state and resumes at that node without replaying completed branches.
- Prepare/commit/process replacement/restore/resume succeeds at every supported boundary.
- Saved model responses, usage, cookies, and pending actions are applied exactly once.
- Checkpoint refusal retries without advancing history or the operation cursor.
- Resource revision mismatch, stale attempt, duplicate restore, and corrupt state fail closed.
- Completed-unacknowledged results cannot also be published as resumable work.
- Dominant language
- Python
- Stars
- 1.2k
- Forks
- 349
- Avg merge
- 1d 21h
- Merged PRs (30d)
- 318
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
More from NVIDIA-NeMo/Gym
-
community-request waiting-on-maintainers
Difficulty 2/5 1-3 hours Newbie friendliness 84/100
NVIDIA-NeMo/Gym#3500 ·
-
Difficulty 1/5 1-3 hours Newbie friendliness 74/100
NVIDIA-NeMo/Gym#3328 · 1 comment ·
-
Difficulty 2/5 1-3 hours Newbie friendliness 86/100
NVIDIA-NeMo/Gym#3312 ·
-
Difficulty 2/5 1-3 hours Newbie friendliness 85/100
NVIDIA-NeMo/Gym#2994 ·
-
documentation
Difficulty 2/5 1-3 hours Newbie friendliness 68/100
NVIDIA-NeMo/Gym#2937 · 1 comment ·
Similar issues
-
Difficulty 2/5 1-3 hours Newbie friendliness 74/100
bancolombia/sentinel#23 ·
-
test md OpenCI
Difficulty 2/5 1-3 hours Newbie friendliness 74/100
-
integration:quickjs org:external priority:backlog topic:code-interpreter topic:middleware type:feature
Difficulty 2/5 1-3 hours Newbie friendliness 74/100
langchain-ai/deepagents#6450 ·
-
bug client
Difficulty 2/5 1-3 hours Newbie friendliness 88/100
-
Difficulty 2/5 1-3 hours Newbie friendliness 74/100