feat(agents/openclaw): shell exec mode, denied delegation tools, plugin paths, and memory off - #149
feat(agents/openclaw): shell exec mode, denied delegation tools, plugin paths, and memory off#149iliabo wants to merge 2 commits into
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…in paths Four run-config concerns the openclaw adapter has to own, all of which show up as an unusable run rather than an error if left at oc's defaults: - tools.codeMode defaults to False so the `exec` tool takes a plain shell command instead of JavaScript in oc's code-mode sandbox. Overridable with BENCH_OPENCLAW_CODE_MODE. - tools.deny drops sessions_spawn/sessions_yield. The bench always runs embedded (`oc agent --local`), with no gateway to report a delegated subagent's completion, so a sessions_yield that awaits the result waits on an event that never arrives; the one-shot process then exits having done no work and the run scores 0.0. - models.providers.openai.agentRuntime pins the built-in "openclaw" runtime. oc implicitly routes OpenAI dual-route model ids to the "codex" harness runtime, which ships as a separate plugin, so a run dies at startup unless a configured runtime short-circuits that. - plugins.load.paths names externally installed provider packages, which oc otherwise discovers only from its own dist/extensions. Because tools.codeMode is now always present, the payload is never empty and the caller always writes openclaw.json. The two tests that asserted the empty-payload path are replaced by their positive counterparts.
openclaw 2026.8.x ships a memory subsystem that is on by default. It has no place in a benchmark run for two reasons: - It embeds every transcript through an OpenAI embeddings call, adding an outbound dependency (and spend) on a provider the run never selected and that the sandbox does not expect. - rememberAcrossConversations defaults on, so a second run of the same task can recall the first run's transcript and score on recall rather than on the cluster under test. Disabling the master toggle makes each run stateless, which is the only defensible baseline for scoring.
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📝 WalkthroughWalkthroughOpenClaw configuration now denies session tools, supports configurable code mode and plugin paths, disables memory search, pins OpenAI providers to the ChangesOpenClaw configuration
Estimated code review effort: 3 (Moderate) | ~20 minutes Merge Risk: 🟡 Moderate · up to When a fully qualified OpenAI model is provided without an explicit provider, the adapter can select the wrong runtime and fail before a benchmark run starts. Merge should wait for the provider-derivation fix and regression test; the remaining documentation and type-hint issues are minor. Suggested reviewers: 🚥 Pre-merge checks | ✅ 5✅ Passed checks (5 passed)
✨ Finishing Touches 💡 1🛠️ Fix failing CI checks 💡
🧪 Generate unit tests (beta)
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In `@devops_bench/agents/cli/openclaw/agent.py`:
- Line 289: Update the generic harness docstring near the explicit env
description to replace the provider-specific MCP example “gke-mcp” with the
neutral “k8s-mcp”, without changing the surrounding guidance.
- Line 305: Update the provider resolution near _oc_model_id to derive the
runtime provider from the resolved model identifier when config.provider is
unset, preserving explicit provider overrides. Ensure full OpenAI model IDs
select the OpenAI runtime pin rather than the default Google provider, and add a
regression test covering an OpenAI model ID without config.provider.
In `@tests/unit/agents/test_agents_cli_openclaw.py`:
- Line 977: Update the local helper function fake_bash with type annotations for
cmd, kwargs, and its return value, following the repository’s established typing
conventions while preserving its existing behavior.
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| config still carries ``tools.codeMode``, so the env var is still set.""" | ||
| captured: dict = {} | ||
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| def fake_bash(cmd, **kwargs): |
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📐 Maintainability & Code Quality | 🟡 Minor | ⚡ Quick win
Add annotations to the local test helper.
Annotate cmd, kwargs, and the return value. This keeps the new Python code consistent with the repository type-hint requirement.
- def fake_bash(cmd, **kwargs):
+ def fake_bash(cmd: str, **kwargs: Any) -> SimpleNamespace:As per coding guidelines, “All Python code must include type hints.” As per path instructions, “Ensure test functions have proper type annotations and clean structure.”
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| def fake_bash(cmd, **kwargs): | |
| def fake_bash(cmd: str, **kwargs: Any) -> SimpleNamespace: |
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In `@tests/unit/agents/test_agents_cli_openclaw.py` at line 977, Update the local
helper function fake_bash with type annotations for cmd, kwargs, and its return
value, following the repository’s established typing conventions while
preserving its existing behavior.
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Configures the openclaw agent adapter so a benchmark run is reproducible and
self-contained. Each item below shows up as a silently unusable run rather than
an error if left at openclaw's defaults.
tools.codeModedefaults toFalse, so theexectool takes a plain shellcommand instead of JavaScript in openclaw's code-mode sandbox. Overridable with
BENCH_OPENCLAW_CODE_MODE.tools.denydropssessions_spawn/sessions_yield. The bench always runsembedded (
oc agent --local) with no gateway to report a delegated subagent'scompletion, so a
sessions_yieldthat awaits a result waits on an event thatnever arrives. The one-shot process then exits having done no work and the run
scores 0.0.
models.providers.openai.agentRuntimepins the built-inopenclawruntime.openclaw implicitly routes OpenAI dual-route model ids to the
codexharnessruntime, which ships as a separate plugin, so a run dies at startup unless a
configured runtime short-circuits that.
plugins.load.pathsnames externally installed provider packages, whichopenclaw otherwise discovers only from its own
dist/extensions. Set withBENCH_OPENCLAW_PLUGIN_PATHS.memory.search.enabled: falsedisables the memory subsystem that openclaw2026.8.x ships on by default. This one affects scoring validity, not just
startup: it embeds every transcript through an OpenAI embeddings call, adding an
outbound dependency and spend on a provider the run never selected, and
rememberAcrossConversationsdefaults on, so a second run of the same task canrecall the first run's transcript and score on recall rather than on the cluster
under test. Disabling it makes each run stateless, which is the only defensible
baseline for scoring.
Note on the empty-payload path
Because
tools.codeModeis now always present,_build_openclaw_configneverreturns an empty payload and the caller always writes
openclaw.json. The twotests that asserted the empty path are replaced by their positive counterparts.
Testing
pytestfull suite passing,ruff checkandruff format --checkclean.Thanks to @geojaz for the original change.
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