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[None][feat] agent-flow: snapshot the composed prompts into the workspace - #19715
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…pace A role's system prompt is composed at launch from the prompt modules plus whatever the task spec switched on -- the Slurm bootstrap, the SOL guidance, the remote-execution context, the casebook switch, and for perf-optimize the approach restriction, kernel-coverage and disaggregated-serving blocks. That composition existed only in the launching process's memory, so a campaign in flight -- or one read back later from its workspace -- offered no way to see what its agents were actually told. Reconstructing it after the fact means re-deriving the spec's switches by hand and trusting that the prompt modules have not moved since the run. Write each role's prompt to `<workspace>/prompts/<role>.md` at launch, verbatim, so a snapshot can be diffed against the modules or pasted into a session. The dump runs inside the `with` block rather than before it, so the workflow's fresh-run guard decides first. A launch refused because the workspace already holds a prior run's output then leaves that run's snapshot untouched, instead of scribbling the new composition over the record of what actually produced those files. The directory is rewritten per launch, and a `*.md` whose stem is no longer a role is dropped, so a workspace reused across a rename never presents two versions' prompts as one campaign's. Roles are read off the bundle dataclass, which lets one implementation cover perf-analyze's four and perf-optimize's eight. It lives in `perf_analyze.prompts` -- the direction perf-optimize already reuses for `build_remote_execution_context` and the shared prompt fragments -- rather than as a second copy that would have to be kept in step. Signed-off-by: Kaiyu Xie <26294424+kaiyux@users.noreply.github.com>
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Navigate logical layers of code changes, visualize relationships, and explore their blast radius. WalkthroughThe change adds a public helper that writes composed role prompts to per-role Markdown files. Both performance workflow CLIs save those prompts in the workspace before running. Tests cover prompt-file contents and preservation of prior snapshots when a fresh-run guard rejects a launch. ChangesPrompt Snapshots
Priority: ⬇️ Low Estimated code review effort: 3 (Moderate) | ~20 minutes Change: Feature Sequence Diagram(s)sequenceDiagram
participant PerfAnalyzeCLI
participant PerfOptimizeCLI
participant dump_prompt_bundle
participant Workspace
participant Workflow
PerfAnalyzeCLI->>dump_prompt_bundle: composed prompt bundle and workspace prompt directory
dump_prompt_bundle->>Workspace: write per-role Markdown files
PerfAnalyzeCLI->>Workflow: run after snapshot
PerfOptimizeCLI->>dump_prompt_bundle: composed prompt bundle and workspace prompt directory
dump_prompt_bundle->>Workspace: write per-role Markdown files
PerfOptimizeCLI->>Workflow: run after snapshot
Suggested reviewers: Merge Risk: 🔵 Low · up to Prompt snapshots can differ from the original prompts on Windows, and the byte-comparison test can fail there. This is a bounded portability issue with a straightforward fix; no material workflow failure is established. 🚥 Pre-merge checks | ✅ 4 | ❌ 1❌ Failed checks (1 warning)
✅ Passed checks (4 passed)
Full details: Docstring CoverageExplanation Docstring coverage is 46.88% which is insufficient. The required threshold is 80.00%. Docstring coverage is scoped to functions touched by this diff. Analyzed 32 functions across 11 files. (1 skipped: 1 unsupported.)
✨ Finishing Touches🧪 Generate unit tests (beta)
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Nothing in dump_prompt_bundle() is specific to perf-analyze: it reads the roles off any workflow's PromptBundle dataclass. Kept in perf_analyze.prompts, it could reach another workflow only through a cross-workflow import, which perf-optimize already needed. Move it into the core package as agent_flow.dump_prompt_bundle (agent_flow/prompts.py) so agent-team, modeling-bringup or an out-of-tree workflow can snapshot its prompts the same way. PROMPTS_DIRNAME stays in perf_analyze.prompts. The core package has no notion of a workspace, so where a workflow keeps its snapshot is that workflow's convention. The snapshot the CLIs write is unchanged. Now that the function is public, `directory` also accepts a str, and anything but a dataclass instance raises TypeError before the directory is touched. Passing the bundle class instead of an instance used to delete the previous snapshot's stale *.md files and then fail with AttributeError. The generic tests move to tests/test_prompts.py. Each workflow's CLI tests still check the full role set against the bundle it was handed. The agent-flow README shows the call for an embedded workflow, which should pass workflow.prompts: that is the bundle its agents are built from. Signed-off-by: Kaiyu Xie <26294424+kaiyux@users.noreply.github.com>
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Review comments at @agent-flow/agent_flow/prompts.py:
- Line 40: Update the write_text call in the role-writing flow to pass
newline="" so each prompt file preserves the composed prompt’s original line
endings across platforms. Keep the existing UTF-8 encoding and prompt content
unchanged.
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📒 Files selected for processing (8)
agent-flow/README.mdagent-flow/agent_flow/__init__.pyagent-flow/agent_flow/prompts.pyagent-flow/agent_flow/workflows/perf_analyze/cli.pyagent-flow/agent_flow/workflows/perf_analyze/prompts/__init__.pyagent-flow/agent_flow/workflows/perf_optimize/cli.pyagent-flow/agent_flow/workflows/perf_optimize/prompts/__init__.pyagent-flow/tests/test_prompts.py
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- agent-flow/agent_flow/workflows/perf_analyze/prompts/init.py
- agent-flow/agent_flow/workflows/perf_optimize/prompts/init.py
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… prompt snapshots; no model-specific data in the workflow Adapts the workflow to upstream agent-flow: per-role backend/model routing through an agents block (NVIDIA#19522), the backend/model named on externally dispatched turns, composed role prompts snapshotted into the workspace (NVIDIA#19715), the oversized-system-prompt spill (NVIDIA#19766). Fixes concurrent file-dispatch turns sharing a request id. Moves the DeepSeek-V4.1 specifics out of skills, registries and the example spec into a worked example that is never materialized, and replaces tests that read a model PR's files with fixtures. Squashed from user/williamj/staircase-polish @ c8109d6f90 (13 commits): - [fix] staircase: concurrent dispatch turns never share a request id - [feat] staircase: per-role backend and model routing through the agents block - [feat] staircase: a dispatched turn names the backend and model its role is configured for - [feat] staircase: snapshot the composed role prompts into the workspace - [test] staircase: a role's oversized system prompt reaches the CLI through the spill - [test] staircase: check the quickstart DSPARK contract against a fixture - [fix] staircase: claim tree-local Triton custom-op files by content, not by name - [chore] staircase: the example spec and the schema's messages name no checkpoint - [feat] staircase: move DeepSeek-V4.1 specifics out of the feature skills into a worked example - [fix] staircase: delivery accepts the op-matrix test a multi-rank catalog entry has on main - [test] staircase: the same-process retry test answers only once the retry holds the request - [doc] staircase: README sections for the envelope, the evidence ledger and commit hygiene - [doc] staircase: README sections for the gates and the execution substrate; no placeholder left Signed-off-by: Wanli Jiang <35160485+Wanli-Jiang@users.noreply.github.com>
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Summary
A
perf-analyze/perf-optimizerole's system prompt is composed at launch from the promptmodules plus whatever
task.yamlswitched on: the Slurm bootstrap, SOL guidance, theremote-execution context, the casebook switch, and for perf-optimize the approach restriction,
kernel-coverage and disaggregated-serving blocks. That composition exists only in the launching
process's memory and goes straight to the agent backend. So neither a running campaign nor one read
back later from its workspace records what its agents were actually told; the session log shows
each stage's turn message, never the system prompt. Rebuilding it afterwards means re-deriving the
spec's switches by hand and trusting that the prompt modules have not moved since the run.
This PR writes each role's composed prompt, verbatim, to
<workspace>/prompts/<role>.mdat everylaunch, through a new agent-flow API,
agent_flow.dump_prompt_bundle().with …Workflow(...)block, so alaunch refused because the workspace already holds a prior run's output (
FileExistsError)leaves that run's snapshot untouched.
directory, so it holds the prompts the most recent launch handed its agents. A
*.mdwhose stemis no longer a role is removed, so a workspace reused across a role rename never mixes two
versions' prompts.
agent_flow.dump_prompt_bundle()(
agent_flow/prompts.py) reads the roles off any workflow'sPromptBundledataclass. Soperf-analyze's four roles and perf-optimize's eight share one implementation, and agent-team,
modeling-bringup or an out-of-tree workflow can snapshot its prompts the same way.
directorymay be a
str. Anything but a dataclass instance raisesTypeErrorbefore the directory istouched, so passing the bundle class by mistake cannot wipe a previous snapshot.
PROMPTS_DIRNAMEstays inperf_analyze.prompts, because the core package has no notion of aworkspace. The agent-flow README shows the call for an embedded workflow: pass
workflow.prompts, the bundle its agents are built from.Both workflows pass
getattr(self.prompts, role)to each agent unchanged, including under per-rolebackend routing (#19522), so the snapshot is exactly what the agents receive.
Test Coverage
tests/test_prompts.py(the agent-flow API, on a test-local dataclass bundle)test_every_role_is_written_verbatim: byte-exact UTF-8; missing parent directories arecreated.
test_a_later_call_overwrites_the_previous_promptstest_a_role_the_bundle_no_longer_has_is_dropped: a stale*.mdis removed; other filesare left alone.
test_a_string_directory_is_acceptedtest_anything_but_a_dataclass_instance_is_rejected_before_writing: a mapping and thedataclass type both raise
TypeError, and the previous snapshot survives.tests/workflows/{perf_analyze,perf_optimize}/test_workflow.pytest_the_cli_snapshots_the_prompts_before_the_first_agent_runs: the files are on disk whenrun()starts and equal the composed bundle the workflow was handed.test_a_workspace_the_workflow_refuses_keeps_its_previous_snapshot: theFileExistsErrorpathleaves the previous snapshot untouched.
Both CLI tests were checked against broken variants. Removing the dump fails the first one, and
moving the dump ahead of the workflow constructor fails the second. Removing the type guard fails
both cases of the rejection test; passing the bundle class then deletes the previous snapshot
and raises
AttributeError.PR Checklist
[JIRA/NVBUG/None][type] descriptionScope note: all changes are confined to
agent-flow/; no TensorRT-LLM runtime code is touched.🤖 Generated with Claude Code
Dev Engineer Review
agent_flow.dump_prompt_bundleis now a public API. It accepts a dataclass instance and a string or path-like directory, writes each field value to a role-named Markdown file, and removes stale Markdown files. It rejects invalid bundle inputs before changing the directory.Both workflow CLIs snapshot prompts inside the workflow context, after the fresh-run guard and before agents run. A rejected launch therefore preserves the prior snapshot. Verify that future workflow changes keep snapshot timing aligned with the prompts passed to agents.
QA Engineer Review
Tests cover verbatim prompt writes, overwrites, stale-file removal, string paths, invalid inputs, CLI role coverage, snapshot timing, and preservation of snapshots when a workspace is rejected. The test outlines show two CLI snapshot tests in each workflow test file and five helper tests in
tests/test_prompts.py. No test-list changes or current review findings were supplied, so CI/manual-QA listing status and review severity counts are unavailable. The reported run passed 1,352 tests and skipped 3; coverage verdict: sufficient.Per-File QA Perspective
agent-flow/agent_flow/prompts.py: Verify UTF-8 role files, stale Markdown cleanup, and that invalid input leaves the target directory untouched.agent-flow/agent_flow/__init__.py: Verify callers can importdump_prompt_bundlefrom the package root.agent-flow/agent_flow/workflows/perf_analyze/cli.py: Verify the CLI writes the composed prompt set before the first agent runs and does not alter snapshots when the workspace is rejected.agent-flow/agent_flow/workflows/perf_optimize/cli.py: Verify the CLI writes the composed prompt set, including all optimize roles, before the first agent runs and preserves snapshots after a rejected launch.agent-flow/agent_flow/workflows/perf_analyze/prompts/__init__.py: Verify thepromptsdirectory name is exported for CLI use.agent-flow/agent_flow/workflows/perf_optimize/prompts/__init__.py: Verify the sharedpromptsdirectory name is exported for CLI use.agent-flow/tests/test_prompts.py: Covers bundle serialization, overwrites, stale files, accepted path types, and invalid inputs. No test-list change was supplied.agent-flow/tests/workflows/perf_analyze/test_workflow.py: Covers prompt snapshot timing, role contents, and rejected-workspace behavior. No test-list change was supplied.agent-flow/tests/workflows/perf_optimize/test_workflow.py: Covers prompt snapshot timing, role contents, and rejected-workspace behavior. No test-list change was supplied.agent-flow/README.md: Verify that the public API example and documented CLI snapshot location match runtime behavior.agent-flow/agent_flow/workflows/perf_analyze/README.md: Verify the documented workspace layout namesprompts/<role>.md.agent-flow/agent_flow/workflows/perf_optimize/README.md: Verify the documented workspace layout namesprompts/<role>.md.