The injection guard is RoboCo's own hook (user-prompt-hook.sh), not a runtime
built-in, so it can be recreated at our input boundary regardless of runtime —
opencode's lack of a blocking pre-prompt hook is irrelevant.
- prompt_guard.detect_injection: the deny patterns ported to reusable Python.
- IntakeDriver._run_turn scans every interactive turn before sending it to the
model and denies a match as an error chunk. Covers BOTH Grok (opencode) and
the Claude SDK intake (which runs with setting_sources=[] and so never loaded
the bash hook — it was unguarded too).
- The one-shot grok entrypoint scans ROBOCO_INITIAL_PROMPT and refuses a
poisoned task prompt (parity with the Claude UserPromptSubmit deny).
- Broadened the pattern (Python + the bash hook, kept in sync) to catch the
multi-qualifier canonical phrasing "ignore all previous instructions", which
the single-qualifier original missed — without false-positiving on
"ignore the linting rules" (an intermediate non-qualifier word breaks it).
So Grok now has the command/secret-exfil guard (secret-scrub), the cost cap,
AND the injection guard. Verified: 94 agent_sdk tests pass; bash + Python agree
on detect/miss cases.
grok-build-0.1 reasons heavily by default and reasoning bills at the output
rate (a live "say ok" call emitted ~300 reasoning tokens, ~85% of its cost).
Confirmed live that opencode's `--variant minimal` cuts reasoning ~54%
(298 -> 136 tokens, same prompt).
GrokProvider now picks reasoning effort by role: code-quality roles (developer,
qa, pr_reviewer) keep full reasoning; coordination / docs / board roles
(cell_pm, main_pm, documenter, product_owner, head_marketing, auditor, prompter,
secretary) run "minimal". It's passed to opencode via the entrypoint's
`--variant`. Operators can force one effort for ALL grok agents with the
ROBOCO_GROK_REASONING_EFFORT env (minimal | high | max, or default/full).
Tests cover the role map, the env override, and the spawn env wiring.
A live opencode run against api.x.ai/v1 surfaced three real bugs:
1. Provider package — grok-build-0.1 is driven via the OpenAI Responses API
(opencode calls model.responses()). @ai-sdk/openai-compatible is
chat/completions only and errors "responses is not a function". Switch the
generated opencode.json provider + the grok image to @ai-sdk/openai.
2. Headless hang — `opencode run` blocks after init without a TTY; close stdin
(`< /dev/null`) in the entrypoint so it proceeds to the model call.
3. Reasoning-token cost — grok-build-0.1 is a reasoning model; reasoning tokens
bill as output but opencode stores them in a separate column. cost_for_session
folds tokens_reasoning into output (else ~22x undercount).
Verified end-to-end against a real session row (input=6120, output=1,
reasoning=226, cache_read=1856): our pricing reproduces opencode's stored USD
cost ($0.0069452) exactly. Tests anchored to that real row.
Complete the native Grok (xAI) path so grok-build-0.1 runs as a real
RoboCo agent, not just the provider seam.
- roboco-agent-grok image (docker/agent-grok.Dockerfile): FROM agent-base
+ opencode (the OpenAI-protocol runtime). One image serves every role;
role behaviour comes from the mounted manifest / mcp-config / system
prompt, exactly as on the Claude path.
- Entrypoint renders opencode.json at spawn from the GrokProvider env
contract + the mounted Claude Code mcp-config.json
(roboco.llm.providers.opencode_config): translates RoboCo's gateway
servers (roboco-flow / roboco-do / ...) into opencode's mcp block,
declares the xAI OpenAI-compatible provider + model, and wires
permissions + instructions. Pure, unit-tested translation.
- Orchestrator registers GrokProvider with the registry-qualified image
(_qualify_agent_image) so it resolves in local and registry deploys.
- Compose (both files + the registry compose) gain an agent-grok-image
builder service.
- Panel: a Grok (xAI) API key card on the AI Providers page, plus the
grok ModelProvider value.
KNOWN PARITY GAP (opencode runtime): the bash-guard PAT-scrub and the
transcript-based usage/cost capture are Claude Code hooks and do not
transfer to opencode. bash permission is operator-tunable
(ROBOCO_GROK_BASH_PERMISSION) so a deployment can fail closed until a
security/usage-parity opencode plugin lands. That plugin and live E2E
validation are the remaining work to finalize with xAI.