Fix OpenCode routes: drop LiteLLM-only prompt-cache arg, persist subscription provider for viewer label

Co-authored-by: Ahmed Allam <ahmed39652003@gmail.com>

AGENTS.md

@@ -10,10 +10,10 @@ Install the agent skills for step-by-step workflows:
 npx skills add usestrix/strix
 ```
 
-- `strix-pentest` — run a headless pentest against code, URLs, domains, or IPs and read results (covers both run modes below)
-- `strix-cloud-api` — drive the managed app.strix.ai platform via REST (no local Docker/LLM needed)
-- `strix-fix-findings` — remediate findings and re-run Strix to verify
-- `strix-ci-setup` — add PR scanning to CI/CD (self-hosted CLI or managed app)
+- `penetration-testing-with-strix` — run a headless pentest against code, URLs, domains, or IPs and read results (covers both run modes below)
+- `managed-pentesting-with-strix` — drive the managed app.strix.ai platform via REST (no local Docker/LLM needed)
+- `fix-security-vulnerabilities-with-strix` — remediate findings and re-run Strix to verify
+- `ci-security-scanning-with-strix` — add PR scanning to CI/CD (self-hosted CLI or managed app)
 
 **Two ways to run, same engine — pick per situation:**
 

README.md

@@ -116,7 +116,7 @@ Strix is agent-ready. Give Claude Code, Cursor, Codex, or any [SKILL.md-compatib
 npx skills add usestrix/strix
 ```
 
-This installs four skills: **strix-pentest** (run headless scans and read results), **strix-cloud-api** (drive the managed [app.strix.ai](https://app.strix.ai) platform via REST — no local Docker or LLM key), **strix-fix-findings** (remediate + re-scan to verify), and **strix-ci-setup** (PR scanning in CI). Agents can run Strix two ways with the same engine — the open-source CLI locally, or the managed cloud when there's no local infra — and read [`AGENTS.md`](AGENTS.md) for a quick reference, [docs.strix.ai/llms.txt](https://docs.strix.ai/llms.txt) for the CLI docs, and [docs.app.strix.ai](https://docs.app.strix.ai) for the API.
+This installs four skills: **penetration-testing-with-strix** (run headless scans and read results), **managed-pentesting-with-strix** (drive the managed [app.strix.ai](https://app.strix.ai) platform via REST — no local Docker or LLM key), **fix-security-vulnerabilities-with-strix** (remediate + re-scan to verify), and **ci-security-scanning-with-strix** (PR scanning in CI). Agents can run Strix two ways with the same engine — the open-source CLI locally, or the managed cloud when there's no local infra — and read [`AGENTS.md`](AGENTS.md) for a quick reference, [docs.strix.ai/llms.txt](https://docs.strix.ai/llms.txt) for the CLI docs, and [docs.app.strix.ai](https://docs.app.strix.ai) for the API.
 
 ---
 
@@ -315,6 +315,18 @@ strix auth status             # show the active sign-in
 strix auth logout             # forget the sign-in
 ```
 
+#### Sign in with an OpenCode subscription
+
+You can also run Strix on [OpenCode Zen](https://opencode.ai/docs/zen/) credits or an [OpenCode Go](https://opencode.ai/docs/go/) subscription:
+
+```bash
+strix auth login opencode     # paste your API key from opencode.ai/auth
+
+export STRIX_LLM="opencode/claude-sonnet-5"   # opencode/<model> runs on Zen credits
+export STRIX_LLM="opencode-go/kimi-k3"        # opencode-go/<model> runs on the Go subscription
+strix --target ./app-directory
+```
+
 **Recommended models for best results:**
 
 - [OpenAI GPT-5.4](https://openai.com/api/) - `openai/gpt-5.4`

containers/Dockerfile

@@ -117,6 +117,21 @@ ENV AGENT_BROWSER_EXECUTABLE_PATH=/usr/bin/chromium
 ENV AGENT_BROWSER_USER_AGENT="Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/131.0.0.0 Safari/537.36"
 ENV AGENT_BROWSER_ARGS="--disable-blink-features=AutomationControlled,--no-first-run,--no-default-browser-check,--lang=en-US"
 ENV AGENT_BROWSER_SCREENSHOT_DIR=/workspace/.agent-browser-screenshots
+ENV AGENT_BROWSER_IDLE_TIMEOUT_MS=180000
+USER root
+RUN set -eu; \
+    { \
+        for var in AGENT_BROWSER_EXECUTABLE_PATH AGENT_BROWSER_USER_AGENT \
+                   AGENT_BROWSER_ARGS AGENT_BROWSER_SCREENSHOT_DIR \
+                   AGENT_BROWSER_IDLE_TIMEOUT_MS; do \
+            eval "value=\${$var}"; \
+            printf 'export %s="${%s:-%s}"\n' "$var" "$var" "$value"; \
+        done; \
+    } > /tmp/agent-browser.sh; \
+    install -m 0644 /tmp/agent-browser.sh /etc/profile.d/agent-browser.sh; \
+    rm /tmp/agent-browser.sh; \
+    env -i bash -lc 'test "${AGENT_BROWSER_IDLE_TIMEOUT_MS}" = "180000"'
+USER pentester
 RUN /home/pentester/.npm-global/bin/agent-browser doctor --offline --quick
 
 RUN set -eux; \

docs/integrations/coding-agents.mdx

@@ -15,15 +15,15 @@ npx skills add usestrix/strix
 
 | Skill | What your agent learns |
 |-------|------------------------|
-| `strix-pentest` | Run headless scans against code, URLs, domains, or IPs — self-hosted CLI or managed cloud — with budget caps, and read the results |
-| `strix-cloud-api` | Drive the managed [app.strix.ai](https://app.strix.ai) platform over REST — no local Docker or LLM key needed |
-| `strix-fix-findings` | Triage findings, fix root causes, and re-run Strix to verify each fix |
-| `strix-ci-setup` | Add PR security scanning to GitHub Actions or any CI (self-hosted CLI or managed app) |
+| `penetration-testing-with-strix` | Run headless scans against code, URLs, domains, or IPs — self-hosted CLI or managed cloud — with budget caps, and read the results |
+| `managed-pentesting-with-strix` | Drive the managed [app.strix.ai](https://app.strix.ai) platform over REST — no local Docker or LLM key needed |
+| `fix-security-vulnerabilities-with-strix` | Triage findings, fix root causes, and re-run Strix to verify each fix |
+| `ci-security-scanning-with-strix` | Add PR security scanning to GitHub Actions or any CI (self-hosted CLI or managed app) |
 
-Install a single skill with `npx skills add usestrix/strix --skill strix-pentest`, or use one without installing:
+Install a single skill with `npx skills add usestrix/strix --skill penetration-testing-with-strix`, or use one without installing:
 
 ```bash
-npx skills use usestrix/strix@strix-pentest | claude
+npx skills use usestrix/strix@penetration-testing-with-strix | claude
 ```
 
 ## Two ways to run — self-hosted or managed
@@ -31,7 +31,7 @@ npx skills use usestrix/strix@strix-pentest | claude
 Both use the same engine and produce the same validated findings and SARIF, so agents can pick per situation or combine them:
 
 - **Open-source CLI (self-hosted)** — runs locally in a Docker sandbox with your own LLM key. Free, fully local, air-gap capable. Best for local dev loops and full control.
-- **Managed cloud** — runs on Strix's infrastructure via the [app.strix.ai REST API](https://docs.app.strix.ai). No Docker, no LLM key, no local install; adds team dashboards, scheduling, PR reviews, and downloadable PDF/DOCX reports (Enterprise plan). Best in sandboxed/CI environments and for teams. Create an API token under **Settings → API Access**; the `strix-cloud-api` skill has the full flow.
+- **Managed cloud** — runs on Strix's infrastructure via the [app.strix.ai REST API](https://docs.app.strix.ai). No Docker, no LLM key, no local install; adds team dashboards, scheduling, PR reviews, and downloadable PDF/DOCX reports (Enterprise plan). Best in sandboxed/CI environments and for teams. Create an API token under **Settings → API Access**; the `managed-pentesting-with-strix` skill has the full flow.
 
 ## Agent-Friendly Interfaces
 

pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "strix-agent"
-version = "1.5.0"
+version = "1.5.3"
 description = "Open-source AI Hackers for your apps"
 readme = "README.md"
 license = "Apache-2.0"
@@ -280,6 +280,7 @@ ignore = [
 # a runtime ``Callable`` annotation on ``vulnerability_found_callback``.
 "strix/report/state.py" = ["TC003", "PLR0912", "PLR0915", "E501", "PERF401", "PLC0415"]
 "strix/report/usage.py" = ["PLC0415"]
+"strix/report/pricing.py" = ["PLC0415"]
 # Lazy import of strix.config.models avoids a circular dependency between the
 # report pipeline and the config layer.
 "strix/report/dedupe.py" = ["PLC0415"]

skills/ci-security-scanning-with-strix/SKILL.md

@@ -1,6 +1,6 @@
 ---
-name: strix-ci-setup
-description: Wire Strix security scanning into CI/CD — GitHub Actions, GitLab CI, or any pipeline — so every pull request gets a diff-scoped AI pentest that blocks vulnerable code. Covers both the self-hosted open-source CLI (runs in your runner) and the managed app.strix.ai platform (GitHub/GitLab app or API, no runner infra). Use when the user asks to add security scanning, pentesting, or Strix to their CI pipeline or PR workflow.
+name: ci-security-scanning-with-strix
+description: Add security scanning to CI/CD with Strix — GitHub Actions, GitLab CI, or any pipeline — so every pull request gets a diff-scoped AI pentest that blocks vulnerable code before it merges, with results as PR comments and SARIF uploaded to code scanning. Covers both the self-hosted open-source CLI (runs in your runner) and the managed app.strix.ai platform (GitHub/GitLab app or API, no runner infra). Use when the user asks to add security scanning, SAST/DAST, pentesting, vulnerability checks, or automated security review to their CI pipeline, pre-merge gate, or PR workflow.
 license: Apache-2.0
 metadata:
   author: usestrix
@@ -11,7 +11,7 @@ metadata:
 
 You can gate PRs two ways — pick based on the environment, or combine them:
 
-- **Managed platform (recommended for most teams)** — connect the GitHub/GitLab/Bitbucket app once and Strix reviews every PR with **no workflow file, no runner, no Docker, and no LLM key**. Results post as PR comments and land in the team dashboard. Best when you want zero CI maintenance, central tracking, or your runners lack Docker. See "Managed platform" below and the **strix-cloud-api** skill.
+- **Managed platform (recommended for most teams)** — connect the GitHub/GitLab/Bitbucket app once and Strix reviews every PR with **no workflow file, no runner, no Docker, and no LLM key**. Results post as PR comments and land in the team dashboard. Best when you want zero CI maintenance, central tracking, or your runners lack Docker. See "Managed platform" below and the **managed-pentesting-with-strix** skill.
 - **Self-hosted OSS CLI in your runner** — run a diff-scoped scan as a pipeline step. Fully in your infra, free (BYO LLM key), no external account. Requires Docker on the runner. Best for air-gapped/self-hosted CI or when you don't want scans leaving your environment.
 
 Both fail the build on validated findings and both emit SARIF 2.1.0, so you can start with one and add the other later.
@@ -131,6 +131,6 @@ No workflow file, no Docker, no LLM key. Two ways to use it:
          -d "{\"repository_full_name\":\"${{ github.repository }}\",\"pr_number\":${{ github.event.pull_request.number }}}"
    ```
 
-   To gate the build on results, poll the PR review / scan status and fail on unresolved criticals/highs. Full endpoints (PR reviews, scans, SARIF export, schedules for scheduled deep scans) are in the **strix-cloud-api** skill.
+   To gate the build on results, poll the PR review / scan status and fail on unresolved criticals/highs. Full endpoints (PR reviews, scans, SARIF export, schedules for scheduled deep scans) are in the **managed-pentesting-with-strix** skill.
 
 Recommend Option B for most teams (no maintenance, central dashboard); use Option A when scans must stay entirely within your own infrastructure.

skills/fix-security-vulnerabilities-with-strix/SKILL.md

@@ -1,6 +1,6 @@
 ---
-name: strix-fix-findings
-description: Triage and remediate vulnerabilities found by a Strix pentest (open-source CLI or app.strix.ai cloud), then re-run Strix to verify each fix. Use after a Strix scan reports findings, or when the user asks to fix security issues from a strix_runs report, vulnerabilities.json, findings.sarif, or a cloud scan's vulnerabilities.
+name: fix-security-vulnerabilities-with-strix
+description: Fix security vulnerabilities found by a Strix pentest (open-source CLI or app.strix.ai cloud) — triage by severity, patch the root cause rather than the symptom, and re-run Strix to prove each fix actually closes the exploit. Handles injection, XSS, SSRF, broken access control, IDOR, and other validated findings. Use after a Strix scan reports findings, or when the user asks to remediate, patch, or fix security issues from a strix_runs report, vulnerabilities.json, findings.sarif, or a cloud scan.
 license: Apache-2.0
 metadata:
   author: usestrix
@@ -18,7 +18,7 @@ Get the findings from wherever the scan ran:
 - **OSS CLI** — artifacts in `strix_runs/<run-name>/`:
   - `vulnerabilities/*.md` — one finding per file: description, severity, PoC steps or script, affected code locations, remediation guidance.
   - `vulnerabilities.json` — the same findings as JSON (ids, severity, CWE/CVE, `code_locations` with `fix_before`/`fix_after` suggestions when available).
-- **Cloud (app.strix.ai)** — fetch the scan's `vulnerabilities[]` via `GET /api/v1/scans/{scanId}` (or `GET /api/v1/vulnerabilities` org-wide). Each carries `severity, cwe, endpoint, method, impact, technical_analysis, poc_description, poc_script_code` and, for code findings, `code_file`/`code_diff`/`code_before`/`code_after`. See the **strix-cloud-api** skill for auth.
+- **Cloud (app.strix.ai)** — fetch the scan's `vulnerabilities[]` via `GET /api/v1/scans/{scanId}` (or `GET /api/v1/vulnerabilities` org-wide). Each carries `severity, cwe, endpoint, method, impact, technical_analysis, poc_description, poc_script_code` and, for code findings, `code_file`/`code_diff`/`code_before`/`code_after`. See the **managed-pentesting-with-strix** skill for auth.
 
 Order work by severity: critical → high → medium → low. Every Strix finding was validated with a working proof-of-concept, so do not dismiss findings as false positives without re-testing the PoC yourself.
 

skills/managed-pentesting-with-strix/SKILL.md

@@ -1,6 +1,6 @@
 ---
-name: strix-cloud-api
-description: Drive the managed Strix platform headlessly through the app.strix.ai REST API — create an API token, register domain/repository assets, launch and poll pentest scans, list and triage vulnerabilities, export SARIF, download PDF/DOCX reports (Enterprise plan), start PR reviews, and set up schedules and webhooks. Use when the user wants Strix without local Docker/LLM infra, or wants scans tracked in a team dashboard, on a schedule, or in CI via API.
+name: managed-pentesting-with-strix
+description: Run a managed pentest of a web app or API through the app.strix.ai REST API — no local Docker, LLM key, or install needed. Create an API token, register domain/repository assets, launch and poll scans, triage vulnerabilities, export SARIF, download PDF/DOCX pentest reports for SOC 2 and other compliance evidence (Enterprise plan), start PR reviews, and set up schedules and webhooks. Use when the user wants continuous or scheduled pentesting-as-a-service, an auditor-ready pentest report, scans tracked in a team dashboard, or security testing from a sandboxed agent/CI environment with no infrastructure.
 license: Apache-2.0
 metadata:
   author: usestrix
@@ -9,7 +9,7 @@ metadata:
 
 # Strix Cloud API (managed, no local infra)
 
-Use this when you want Strix's autonomous pentesting **without running Docker or an LLM yourself** — the scan runs on Strix's infrastructure and results are tracked in a team dashboard. This is the right choice in sandboxed/hosted agent and CI environments, for teams, and for scheduled/continuous testing (downloadable PDF/DOCX reports are an Enterprise-plan feature). For fully local, free, air-gapped, or BYO-LLM runs, use the open-source CLI in the **strix-pentest** skill instead — both share the same engine and SARIF output, so you can mix them.
+Use this when you want Strix's autonomous pentesting **without running Docker or an LLM yourself** — the scan runs on Strix's infrastructure and results are tracked in a team dashboard. This is the right choice in sandboxed/hosted agent and CI environments, for teams, and for scheduled/continuous testing (downloadable PDF/DOCX reports are an Enterprise-plan feature). For fully local, free, air-gapped, or BYO-LLM runs, use the open-source CLI in the **penetration-testing-with-strix** skill instead — both share the same engine and SARIF output, so you can mix them.
 
 Full reference: **[docs.app.strix.ai](https://docs.app.strix.ai)** · OpenAPI: `https://docs.app.strix.ai/openapi.json`
 
@@ -113,7 +113,7 @@ curl -sS "$BASE/scans/$scan_id" "${auth[@]}" \
 
 Cloud severities are `critical | high | medium | low` and statuses are `open | in_progress | fixed | ignored`. Sort by an explicit severity order rather than `sort_by(.severity)`, which sorts alphabetically (critical, high, low, medium).
 
-Org-wide triage across scans: `GET /vulnerabilities` (`vulnerabilities:read`; filter by severity/status). Update triage state with the vulnerabilities `:write` endpoints. To remediate, hand off to the **strix-fix-findings** skill.
+Org-wide triage across scans: `GET /vulnerabilities` (`vulnerabilities:read`; filter by severity/status). Update triage state with the vulnerabilities `:write` endpoints. To remediate, hand off to the **fix-security-vulnerabilities-with-strix** skill.
 
 ## 5. Export & report
 

skills/penetration-testing-with-strix/SKILL.md

@@ -1,6 +1,6 @@
 ---
-name: strix-pentest
-description: Run an autonomous AI penetration test with Strix against a codebase, repository, URL, domain, or IP — either self-hosted with the open-source CLI or via the managed app.strix.ai cloud API — and read the validated findings (Markdown, JSON, CSV, SARIF, PoCs). Use when the user asks to pentest, security-scan, or find vulnerabilities in an app, API, website, or repo with Strix.
+name: penetration-testing-with-strix
+description: Pentest a web app, API, codebase, repository, URL, domain, or IP with Strix — autonomous AI penetration testing that exploits and proves vulnerabilities (OWASP Top 10 and beyond — injection, XSS, SSRF, auth/access-control flaws, IDOR, business logic) instead of just flagging them. Runs self-hosted with the open-source CLI or via the managed app.strix.ai cloud, and returns validated findings with proof-of-concept exploits (Markdown, JSON, CSV, SARIF). Use when the user asks to pentest, hack, security-scan, security-audit, or find vulnerabilities in an app, API, website, or repo.
 license: Apache-2.0
 metadata:
   author: usestrix
@@ -12,7 +12,7 @@ metadata:
 Strix runs autonomous AI pentesting agents that dynamically exploit a target and only report findings validated with a working proof-of-concept. There are **two ways to run it, built on the same engine and producing the same findings** — pick per situation, and mix them freely:
 
 - **Open-source CLI** (self-hosted) — runs on your machine in a Docker sandbox with your own LLM key. Free, fully local, BYO-LLM, air-gap capable. Docs: [docs.strix.ai](https://docs.strix.ai).
-- **Cloud API** (managed) — runs on Strix's infrastructure via `https://app.strix.ai/api/v1`. No Docker, no LLM key, no local compute; adds team dashboards, scheduling, PR reviews, downloadable PDF/DOCX reports (Enterprise plan), and internal-network connectors. Docs: [docs.app.strix.ai](https://docs.app.strix.ai). Full workflow in the **strix-cloud-api** skill.
+- **Cloud API** (managed) — runs on Strix's infrastructure via `https://app.strix.ai/api/v1`. No Docker, no LLM key, no local compute; adds team dashboards, scheduling, PR reviews, downloadable PDF/DOCX reports (Enterprise plan), and internal-network connectors. Docs: [docs.app.strix.ai](https://docs.app.strix.ai). Full workflow in the **managed-pentesting-with-strix** skill.
 
 ## Which one? (decide, don't default)
 
@@ -112,7 +112,7 @@ Artifacts land in `strix_runs/<run-name>/`:
 
 # Option B — Cloud API (managed, no local infra)
 
-Full details, asset registration, polling, reports, PR reviews, schedules, and webhooks are in the **strix-cloud-api** skill. Minimal launch-and-poll:
+Full details, asset registration, polling, reports, PR reviews, schedules, and webhooks are in the **managed-pentesting-with-strix** skill. Minimal launch-and-poll:
 
 ```bash
 export STRIX_API_TOKEN="<token>"   # org-scoped bearer, from Settings → API Access at app.strix.ai
@@ -136,7 +136,7 @@ Ask the user to create the token (and register the target as a domain/repository
 
 ## Reporting & next steps
 
-Summarize findings by severity (critical/high/medium/low/info) and include the PoC evidence. To remediate and verify fixes (via either path), use the **strix-fix-findings** skill. To wire scanning into CI/CD, use the **strix-ci-setup** skill.
+Summarize findings by severity (critical/high/medium/low/info) and include the PoC evidence. To remediate and verify fixes (via either path), use the **fix-security-vulnerabilities-with-strix** skill. To wire scanning into CI/CD, use the **ci-security-scanning-with-strix** skill.
 
 ## Safety
 

strix/agents/factory.py

@@ -160,7 +160,9 @@ def _schema_types(spec: dict[str, Any]) -> set[str]:
 def _decode_structured(value: str, types: set[str]) -> Any:
     stripped = value.strip()
     if not stripped:
-        return value
+        # An empty string is the model's "no value" for a list/dict param; give it
+        # the empty container so it validates instead of failing the type check.
+        return [] if "array" in types else {}
     try:
         decoded = json.loads(stripped)
     except json.JSONDecodeError:

strix/agents/prompts/system_prompt.jinja

@@ -39,6 +39,8 @@ INTERACTIVE BEHAVIOR:
   - To end the whole engagement, call the lifecycle tool: finish_scan (root) or agent_finish (subagent).
   - A turn that ends with plain text and no tool call does NOT stop you: the system nudges you to continue and will re-run you. Do not rely on going silent to pause — it will not pause you.
 - Answering a user question: put the answer in respond_to_user's message. Do not write the answer as plain text and then fall silent — that does not reach a stopping point, it just triggers a continuation nudge.
+- If all you want to do is reply and stop, that whole turn is ONE respond_to_user call carrying the answer. Do not write the answer as text and then call respond_to_user as well: the user reads it twice.
+- If you do end a turn on plain text and the nudge arrives, your words already reached the user. Do not restate them: call respond_to_user with NO message to simply wait, or with only whatever you still need to add.
 - You may include brief explanatory text before a tool call, and you can narrate while you work — plain text is shown to the user as you go. Narrating is free; respond_to_user is specifically the act of WAITING for the user, so do not call it just to give a status update.
 - Respond naturally when the user asks questions or gives instructions.
 - While actively working on a task, every turn should carry exactly one tool call — use think to plan, the appropriate tool to act, and respond_to_user only when you genuinely need the user.
@@ -261,7 +263,13 @@ Remember: A single well-validated high-impact vulnerability is worth more than d
 <multi_agent_system>
 AGENT ISOLATION & SANDBOXING:
 - All agents run in the same shared Docker container for efficiency
-- Each agent has its own: browser sessions, terminal sessions
+- Each agent has its own terminal sessions
+- Browsers are NOT per-agent by default: `agent-browser` with no `--session` is one
+  shared browser, so a concurrent agent's navigation invalidates your page and refs.
+  Pass `--session <your-agent-name>` for any browser work of your own — then it is
+  yours alone. Each session is a full Chromium (~340 MB) on this shared box, so keep
+  one, not several, and `agent-browser --session <name> close` when you're done with
+  the target; an idle browser is reclaimed automatically after 3 minutes
 - All agents share the same /workspace directory and proxy history
 - Agents can see each other's files and proxy traffic for better collaboration
 

strix/config/codex.py

@@ -72,8 +72,32 @@ def _write_store(data: dict[str, Any]) -> None:
     write_secret_text(AUTH_PATH, json.dumps(data, indent=2))
 
 
+def read_provider_record(provider: str) -> dict[str, Any] | None:
+    """Raw record for *provider* from the shared subscription-auth store."""
+    record = _read_store().get(provider)
+    return record if isinstance(record, dict) else None
+
+
+def save_provider_record(provider: str, record: dict[str, Any]) -> None:
+    data = _read_store()
+    data[provider] = record
+    _write_store(data)
+
+
+def remove_provider_record(provider: str) -> None:
+    data = _read_store()
+    if provider not in data:
+        return
+    del data[provider]
+    if data:
+        _write_store(data)
+        return
+    with contextlib.suppress(OSError):
+        AUTH_PATH.unlink()
+
+
 def read_record() -> dict[str, Any] | None:
-    record = _read_store().get(PROVIDER)
+    record = read_provider_record(PROVIDER)
     if not isinstance(record, dict) or record.get("type") != "oauth":
         return None
     if not (record.get("access") and record.get("refresh") and record.get("account_id")):
@@ -86,21 +110,11 @@ def is_authenticated() -> bool:
 
 
 def save_record(record: dict[str, Any]) -> None:
-    data = _read_store()
-    data[PROVIDER] = record
-    _write_store(data)
+    save_provider_record(PROVIDER, record)
 
 
 def logout() -> None:
-    data = _read_store()
-    if PROVIDER not in data:
-        return
-    del data[PROVIDER]
-    if data:
-        _write_store(data)
-        return
-    with contextlib.suppress(OSError):
-        AUTH_PATH.unlink()
+    remove_provider_record(PROVIDER)
 
 
 @contextlib.contextmanager

strix/config/models.py

@@ -20,6 +20,7 @@ from agents.model_settings import ModelSettings
 from agents.models.fake_id import FAKE_RESPONSES_ID
 from agents.models.interface import Model
 from agents.models.multi_provider import MultiProvider
+from agents.models.openai_chatcompletions import OpenAIChatCompletionsModel
 from agents.models.openai_responses import OpenAIResponsesModel
 from agents.retry import (
     ModelRetryBackoffSettings,
@@ -36,7 +37,7 @@ from openai.types.responses import (
 from openai.types.responses.response_usage import ResponseUsage
 from openai.types.shared import Reasoning
 
-from strix.config import codex
+from strix.config import codex, opencode
 from strix.config.loader import load_settings
 from strix.config.tool_call_ids import TurnCallIdRewriter, dedupe_input
 from strix.config.tool_call_limits import TurnToolCallLimiter
@@ -79,7 +80,12 @@ def _retry_statusless_provider_errors(context: RetryPolicyContext) -> bool:
 
 
 class _CodexResponsesModel(OpenAIResponsesModel):
-    """Responses model for the ChatGPT subscription backend (always streamed, stateless)."""
+    """Responses model for stateless subscription gateways (always streamed).
+
+    Used for the ChatGPT subscription backend and for Responses-served models on
+    the OpenCode gateway: neither stores responses server-side, so reasoning is
+    carried inline via ``reasoning.encrypted_content``.
+    """
 
     def __init__(
         self,
@@ -471,6 +477,7 @@ class StrixProvider(MultiProvider):
     def get_model(self, model_name: str | None) -> Model:
         llm = load_settings().llm
         slug = codex.subscription_model(model_name)
+        oc = opencode.subscription_model(model_name)
         idle_timeout = float(llm.stream_idle_timeout)
         if slug:
             # The ChatGPT subscription backend is always streamed; it has no
@@ -481,6 +488,19 @@ class StrixProvider(MultiProvider):
                 codex.get_subscription_client(),
                 reasoning_effort=llm.reasoning_effort,
             )
+        elif oc and oc.uses_responses:
+            model = _CodexResponsesModel(
+                oc.slug,
+                opencode.get_subscription_client(oc.base_url),
+                reasoning_effort=llm.reasoning_effort,
+            )
+        elif oc:
+            model = OpenAIChatCompletionsModel(
+                oc.slug, opencode.get_subscription_client(oc.base_url)
+            )
+            if llm.disable_streaming:
+                model = _NonStreamingModel(model)
+                idle_timeout = 0.0
         else:
             model = super().get_model(model_name)
             if llm.disable_streaming:
@@ -540,15 +560,24 @@ RECOMMENDED_MODEL_NAMES = (
 _RECOMMENDED_MODEL_NAME_SET = frozenset(name.lower() for name in RECOMMENDED_MODEL_NAMES)
 
 FRONTIER_MODEL_FAMILIES = (
-    (("azure", "azure_ai", "bedrock_mantle", "chatgpt", "openai"), ("gpt-5",)),
+    (("azure", "azure_ai", "bedrock_mantle", "chatgpt", "openai", "opencode"), ("gpt-5",)),
     (
-        ("anthropic", "azure_ai", "bedrock", "claude", "databricks", "snowflake", "vertex_ai"),
+        (
+            "anthropic",
+            "azure_ai",
+            "bedrock",
+            "claude",
+            "databricks",
+            "opencode",
+            "snowflake",
+            "vertex_ai",
+        ),
         ("claude-fable-5", "claude-opus-5", "claude-opus-4", "claude-sonnet-5", "claude-sonnet-4"),
     ),
-    (("google", "gemini", "vertex_ai"), ("gemini-3",)),
-    (("deepseek",), ("deepseek-v4", "deepseek-r1", "deepseek-reasoner")),
-    (("alibaba", "dashscope", "qwen"), ("qwen3.8", "qwen3.7", "qwen3-max")),
-    (("moonshot", "moonshotai", "kimi"), ("kimi-k3", "kimi-k2.7", "kimi-k2.6")),
+    (("google", "gemini", "opencode", "vertex_ai"), ("gemini-3",)),
+    (("deepseek", "opencode"), ("deepseek-v4", "deepseek-r1", "deepseek-reasoner")),
+    (("alibaba", "dashscope", "opencode", "qwen"), ("qwen3.8", "qwen3.7", "qwen3-max")),
+    (("kimi", "moonshot", "moonshotai", "opencode"), ("kimi-k3", "kimi-k2.7", "kimi-k2.6")),
 )
 
 
@@ -556,7 +585,7 @@ def configure_sdk_model_defaults(settings: Settings) -> None:
     """Apply Strix config to SDK-native defaults."""
     llm = settings.llm
     set_tracing_disabled(True)
-    if codex.subscription_model(llm.model):
+    if codex.subscription_model(llm.model) or opencode.subscription_model(llm.model):
         return
     _configure_litellm_compatibility()
     _configure_openrouter_attribution(llm.model)
@@ -652,27 +681,31 @@ def _install_openrouter_stream_cost_capture() -> None:
     litellm.OpenrouterConfig = _StrixOpenrouterConfig  # type: ignore[misc]
 
 
-_OPENROUTER_ATTRIBUTION_HEADERS = {
+OPENROUTER_ATTRIBUTION_HEADERS = {
     "HTTP-Referer": "https://strix.ai",
     "X-Title": "Strix",
     "X-OpenRouter-Categories": "cli-agent",
 }
 
 
+def is_openrouter_model(model_name: str | None) -> bool:
+    return bool(model_name) and "openrouter/" in (model_name or "").strip().lower()
+
+
 def _configure_openrouter_attribution(model_name: str | None) -> None:
     import litellm
 
     current: object = litellm.headers
     existing: dict[str, str] = current if isinstance(current, dict) else {}
-    if not model_name or "openrouter/" not in model_name.strip().lower():
-        if any(key in existing for key in _OPENROUTER_ATTRIBUTION_HEADERS):
+    if not is_openrouter_model(model_name):
+        if any(key in existing for key in OPENROUTER_ATTRIBUTION_HEADERS):
             remaining = {
-                k: v for k, v in existing.items() if k not in _OPENROUTER_ATTRIBUTION_HEADERS
+                k: v for k, v in existing.items() if k not in OPENROUTER_ATTRIBUTION_HEADERS
             }
             litellm.headers = remaining or None  # type: ignore[assignment]
         return
 
-    litellm.headers = {**existing, **_OPENROUTER_ATTRIBUTION_HEADERS}  # type: ignore[assignment]
+    litellm.headers = {**existing, **OPENROUTER_ATTRIBUTION_HEADERS}  # type: ignore[assignment]
 
 
 def _configure_extra_headers(llm: LlmSettings) -> None:
@@ -737,6 +770,9 @@ def uses_chat_completions_tool_schema(model_name: str, settings: Settings) -> bo
     """Return whether the resolved SDK route can only receive JSON function tools."""
     if codex.subscription_model(model_name):
         return False
+    oc = opencode.subscription_model(model_name)
+    if oc:
+        return not oc.uses_responses
     model = model_name.strip().lower()
     if "/" in model and not model.startswith("openai/"):
         return True

strix/config/opencode.py

@@ -0,0 +1,158 @@
+"""OpenCode subscription auth: API-key sign-in and the OpenAI clients that
+route inference through the OpenCode gateway.
+
+Covers both OpenCode offerings — Zen (pay-as-you-go credits) and Go (the
+monthly subscription) — which share one account and API key but live behind
+different gateway base URLs. Unlike the ChatGPT subscription there is no
+OAuth: the user copies a plain API key from https://opencode.ai/auth, and
+using the gateway from other agents is officially supported.
+
+Model routing follows the endpoint each model is served on (see
+https://opencode.ai/docs/zen/): GPT models use the Responses API, everything
+else the OpenAI-compatible Chat Completions API.
+"""
+
+from __future__ import annotations
+
+from dataclasses import dataclass
+from typing import Any
+
+import httpx
+import requests
+from openai import AsyncOpenAI
+
+from strix.config import codex
+
+
+PROVIDER = "opencode"
+
+ZEN_BASE_URL = "https://opencode.ai/zen/v1"
+GO_BASE_URL = "https://opencode.ai/zen/go/v1"
+
+# ``opencode/<model>`` runs on Zen credits; ``opencode-go/<model>`` on the Go
+# subscription (matching OpenCode's own ``opencode-go/`` model ids).
+ZEN_PREFIX = "opencode/"
+GO_PREFIX = "opencode-go/"
+
+AUTH_CONSOLE_URL = "https://opencode.ai/auth"
+
+_KEY_CHECK_TIMEOUT = 30
+
+
+class OpencodeAuthError(Exception):
+    def __init__(self, code: str, message: str | None = None) -> None:
+        self.code = code
+        super().__init__(message or code)
+
+
+@dataclass(frozen=True)
+class SubscriptionModel:
+    slug: str
+    base_url: str
+    uses_responses: bool
+
+
+def _uses_responses(slug: str, base_url: str) -> bool:
+    lowered = slug.lower()
+    if lowered.startswith("gpt-"):
+        return True
+    # Grok is served via Responses on Zen but Chat Completions on Go.
+    return lowered.startswith("grok") and base_url == ZEN_BASE_URL
+
+
+def subscription_model(model_name: str | None) -> SubscriptionModel | None:
+    """The gateway model behind an ``opencode/`` or ``opencode-go/`` STRIX_LLM."""
+    name = (model_name or "").strip()
+    lowered = name.lower()
+    for prefix, base_url in ((GO_PREFIX, GO_BASE_URL), (ZEN_PREFIX, ZEN_BASE_URL)):
+        if lowered.startswith(prefix):
+            slug = name[len(prefix) :]
+            if not slug:
+                return None
+            return SubscriptionModel(slug, base_url, _uses_responses(slug, base_url))
+    return None
+
+
+def read_record() -> dict[str, Any] | None:
+    record = codex.read_provider_record(PROVIDER)
+    if not isinstance(record, dict) or record.get("type") != "api_key":
+        return None
+    key = record.get("key")
+    if not isinstance(key, str) or not key:
+        return None
+    return record
+
+
+def is_authenticated() -> bool:
+    return read_record() is not None
+
+
+def save_api_key(key: str) -> None:
+    codex.save_provider_record(PROVIDER, {"type": "api_key", "provider": PROVIDER, "key": key})
+
+
+def logout() -> None:
+    codex.remove_provider_record(PROVIDER)
+
+
+def get_api_key() -> str:
+    record = read_record()
+    if record is None:
+        raise OpencodeAuthError(
+            "not_authenticated", "not signed in; run: strix auth login opencode"
+        )
+    return str(record["key"])
+
+
+def validate_api_key(key: str) -> None:
+    """Check the key against the gateway's models endpoint; raise if rejected."""
+    try:
+        response = requests.get(
+            f"{ZEN_BASE_URL}/models",
+            headers={"Authorization": f"Bearer {key}"},
+            timeout=_KEY_CHECK_TIMEOUT,
+        )
+    except requests.RequestException as exc:
+        raise OpencodeAuthError("unavailable", str(exc)) from exc
+    if response.status_code in (401, 403):
+        raise OpencodeAuthError(
+            "invalid_key", f"OpenCode rejected the API key (HTTP {response.status_code})"
+        )
+    if response.status_code >= 400:
+        raise OpencodeAuthError("http_error", f"HTTP {response.status_code}: {response.text[:300]}")
+
+
+def build_openai_client(base_url: str) -> AsyncOpenAI:
+    return AsyncOpenAI(
+        api_key=get_api_key(),
+        base_url=base_url,
+        http_client=httpx.AsyncClient(timeout=httpx.Timeout(600.0, connect=30.0)),
+    )
+
+
+_subscription_clients: dict[str, AsyncOpenAI] = {}
+
+
+def get_subscription_client(base_url: str) -> AsyncOpenAI:
+    client = _subscription_clients.get(base_url)
+    if client is None:
+        client = build_openai_client(base_url)
+        _subscription_clients[base_url] = client
+    return client
+
+
+def auth_mode(model_name: str | None) -> str:
+    """Return "subscription" when STRIX_LLM runs on any subscription
+    (OpenCode or ChatGPT), else "api_key"."""
+    if subscription_model(model_name) or codex.subscription_model(model_name):
+        return "subscription"
+    return "api_key"
+
+
+def subscription_provider(model_name: str | None) -> str | None:
+    """The subscription behind STRIX_LLM: "opencode", "chatgpt", or None."""
+    if subscription_model(model_name):
+        return PROVIDER
+    if codex.subscription_model(model_name):
+        return "chatgpt"
+    return None

strix/core/execution.py

@@ -830,7 +830,7 @@ async def _append_tool_required_message(
             "execution and never hands control to the user: it is shown to the user, and the "
             "run continues. Continue immediately and call exactly one tool. "
             "If you have something to tell the user and nothing to do until they reply, "
-            "call respond_to_user. "
+            "call respond_to_user — with no message if you have already said it. "
             "If you are blocked waiting for another agent, call wait_for_agents. "
             f"If the whole engagement is complete, call {finish_tool}. "
             "Otherwise use the appropriate execution or planning tool. "

strix/core/inputs.py

@@ -8,12 +8,15 @@ from typing import TYPE_CHECKING, Any
 from agents.model_settings import ModelSettings
 from openai.types.shared import Reasoning
 
+from strix.config import opencode
 from strix.config.models import (
     DEFAULT_MODEL_RETRY,
+    OPENROUTER_ATTRIBUTION_HEADERS,
     bedrock_route_supports_prompt_caching,
     is_bedrock_route,
     is_claude_model,
     is_known_openai_bare_model,
+    is_openrouter_model,
     model_supports_reasoning,
     request_timeout_extra_args,
 )
@@ -138,6 +141,15 @@ def build_root_task(scan_config: dict[str, Any]) -> str:
             "target to assess: the instructions below are the only source of "
             "truth for what to do."
         )
+    elif not parts and user_instructions:
+        # Neither a target nor a directory, but there is an instruction: the user
+        # declined the mount, so the instruction is all there is. Say so, or the
+        # agent goes looking for a scope that was never given.
+        parts.append(
+            "\n\nNo scan target and no working directory were provided. The "
+            "instructions below are the only source of truth for what to do; "
+            "work from them and from what you can reach yourself."
+        )
 
     parts.extend(_render_diff_scope(diff_scope))
 
@@ -192,13 +204,15 @@ def make_model_settings(
     request_timeout: float | None = None,
     prompt_cache: bool = True,
     extra_headers: dict[str, str] | None = None,
+    has_tools: bool = True,
 ) -> ModelSettings:
+    headers = _request_headers(model_name, extra_headers)
     model_settings = ModelSettings(
-        parallel_tool_calls=False,
+        parallel_tool_calls=False if has_tools else None,
         retry=DEFAULT_MODEL_RETRY,
         include_usage=True,
         extra_args=request_timeout_extra_args(request_timeout),
-        extra_headers=dict(extra_headers) if extra_headers else None,
+        extra_headers=headers,
     )
     if (
         reasoning_effort is not None
@@ -221,6 +235,17 @@ def make_model_settings(
     return model_settings
 
 
+def _request_headers(
+    model_name: str, extra_headers: dict[str, str] | None
+) -> dict[str, str] | None:
+    headers: dict[str, str] = {}
+    if is_openrouter_model(model_name):
+        headers.update(OPENROUTER_ATTRIBUTION_HEADERS)
+    if extra_headers:
+        headers.update(extra_headers)
+    return headers or None
+
+
 def _reasoning_settings(
     effort: ReasoningEffort,
     extra_args: dict[str, Any] | None,
@@ -248,6 +273,10 @@ def _prompt_cache_extra_args(model_name: str) -> dict[str, Any] | None:
     """
     if not is_claude_model(model_name):
         return None
+    # OpenCode routes use the raw OpenAI SDK, which rejects this LiteLLM-only
+    # argument; the gateway applies Anthropic prompt caching itself.
+    if opencode.subscription_model(model_name):
+        return None
     if is_bedrock_route(model_name) and not bedrock_route_supports_prompt_caching(model_name):
         return None
 

strix/core/runner.py

@@ -2,6 +2,7 @@
 
 from __future__ import annotations
 
+import asyncio
 import contextlib
 import io
 import json
@@ -429,7 +430,6 @@ async def run_strix_scan(
     except BudgetExceededError as exc:
         logger.info("Scan %s stopped: %s", scan_id, exc)
         if root_id is not None:
-            await coordinator.cancel_descendants(root_id)
             with contextlib.suppress(Exception):
                 await coordinator.set_status(root_id, "stopped")
         return None
@@ -442,19 +442,28 @@ async def run_strix_scan(
             scan_id,
         )
         if root_id is not None:
-            await coordinator.cancel_descendants(root_id)
             with contextlib.suppress(Exception):
                 await coordinator.set_status(root_id, "stopped")
         return None
+    except (asyncio.CancelledError, KeyboardInterrupt):
+        logger.info("Scan %s interrupted by the user", scan_id)
+        if root_id is not None:
+            with contextlib.suppress(Exception):
+                await coordinator.set_status(root_id, "running")
+        raise
     except BaseException:
         logger.exception("Strix scan %s failed", scan_id)
         if root_id is not None:
-            await coordinator.cancel_descendants(root_id)
             with contextlib.suppress(Exception):
                 await coordinator.set_status(root_id, "failed")
         raise
     finally:
         configure_spill_writer(None)
+        # Settle descendants before closing sessions: on a clean finish a child
+        # can still be mid-turn, and closing its session underneath it crashes it.
+        if root_id is not None:
+            with contextlib.suppress(Exception):
+                await coordinator.cancel_descendants(root_id)
         for s in sessions_to_close:
             with contextlib.suppress(Exception):
                 s.close()

strix/core/sessions.py

@@ -4,6 +4,8 @@ from __future__ import annotations
 
 import asyncio
 import logging
+import sqlite3
+from contextlib import contextmanager
 from typing import TYPE_CHECKING, Any, cast
 from weakref import WeakKeyDictionary
 
@@ -12,7 +14,7 @@ from agents.memory import SQLiteSession
 
 
 if TYPE_CHECKING:
-    from collections.abc import Callable
+    from collections.abc import Callable, Iterator
     from pathlib import Path
 
     from agents.items import TResponseInputItem
@@ -22,9 +24,25 @@ if TYPE_CHECKING:
 logger = logging.getLogger(__name__)
 
 
+class _PooledConnectionSession(SQLiteSession):
+    @contextmanager
+    def _locked_connection(self) -> Iterator[sqlite3.Connection]:
+        with self._lock:
+            if self._closed:
+                raise RuntimeError("SQLiteSession is closed")
+            if self._is_memory_db:
+                yield self._shared_connection
+                return
+            connection = sqlite3.connect(str(self.db_path), check_same_thread=False)
+            try:
+                yield connection
+            finally:
+                connection.close()
+
+
 def open_agent_session(agent_id: str, path: Path) -> SQLiteSession:
     path.parent.mkdir(parents=True, exist_ok=True)
-    return SQLiteSession(session_id=agent_id, db_path=path)
+    return _PooledConnectionSession(session_id=agent_id, db_path=path)
 
 
 async def seed_initial_input(session: Session, initial_input: Any) -> bool:

strix/interface/auth_cli.py

@@ -1,8 +1,9 @@
-"""`strix auth` — ChatGPT subscription sign-in (login / status / logout).
+"""`strix auth` — subscription sign-in (login / status / logout).
 
-Signing in only stores OAuth tokens (``~/.strix/subscription-auth.json``); model
+Signing in only stores credentials (``~/.strix/subscription-auth.json``); model
 selection stays with ``STRIX_LLM``. A ``chatgpt/<model>`` STRIX_LLM runs on the
-subscription.
+ChatGPT subscription; ``opencode/<model>`` (Zen credits) or
+``opencode-go/<model>`` (Go subscription) run on OpenCode.
 """
 
 from __future__ import annotations
@@ -21,7 +22,7 @@ from rich.console import Console
 from rich.panel import Panel
 from rich.text import Text
 
-from strix.config import codex, load_settings
+from strix.config import codex, load_settings, opencode
 
 
 if TYPE_CHECKING:
@@ -32,13 +33,20 @@ logger = logging.getLogger(__name__)
 
 _CALLBACK_TIMEOUT_S = 300
 
-# CLI-facing name for the login provider. Internally this is the Codex OAuth
-# flow (``codex.PROVIDER``), but users know it as ChatGPT, so that's what the
-# command and messaging say. ``codex`` is accepted as an alias.
+# CLI-facing name for the default login provider. Internally this is the Codex
+# OAuth flow (``codex.PROVIDER``), but users know it as ChatGPT, so that's what
+# the command and messaging say. ``codex`` is accepted as an alias.
 LOGIN_PROVIDER = "chatgpt"
 _ACCEPTED_PROVIDERS = frozenset({LOGIN_PROVIDER, codex.PROVIDER})
+_OPENCODE_PROVIDERS = frozenset({opencode.PROVIDER, "opencode-go", "zen"})
 
-_USAGE = "Usage:\n  strix auth login chatgpt [--manual]\n  strix auth status\n  strix auth logout"
+_USAGE = (
+    "Usage:\n"
+    "  strix auth login chatgpt [--manual]\n"
+    "  strix auth login opencode\n"
+    "  strix auth status\n"
+    "  strix auth logout [chatgpt|opencode]"
+)
 
 
 def run_auth(argv: list[str]) -> int:
@@ -55,7 +63,7 @@ def run_auth(argv: list[str]) -> int:
     handlers: dict[str, Callable[[], int]] = {
         "login": lambda: _login(console, rest),
         "status": lambda: _status(console),
-        "logout": lambda: _logout(console),
+        "logout": lambda: _logout(console, rest),
     }
     handler = handlers.get(subcommand)
     if handler is not None:
@@ -84,10 +92,14 @@ def _login(console: Console, argv: list[str]) -> int:
     except SystemExit as exc:  # argparse already printed the message
         return int(exc.code or 2)
 
+    if args.provider.lower() in _OPENCODE_PROVIDERS:
+        return _login_opencode(console)
+
     if args.provider.lower() not in _ACCEPTED_PROVIDERS:
         console.print(
             f"[red]Unsupported provider:[/] {args.provider}. "
-            f"Only '{LOGIN_PROVIDER}' (ChatGPT subscription) is supported."
+            f"Supported: '{LOGIN_PROVIDER}' (ChatGPT subscription) and "
+            f"'{opencode.PROVIDER}' (OpenCode Zen/Go)."
         )
         return 2
 
@@ -115,6 +127,63 @@ def _login(console: Console, argv: list[str]) -> int:
     return 0
 
 
+def _login_opencode(console: Console) -> int:
+    console.print()
+    console.print("[bold]Signing in with OpenCode[/] [dim](provider: opencode)[/]")
+    console.print(
+        "[dim]This uses your OpenCode Zen credits or Go subscription for inference.\n"
+        f"Get your API key at {opencode.AUTH_CONSOLE_URL}[/]"
+    )
+    console.print()
+    try:
+        key = console.input("Paste your OpenCode API key: ", password=True).strip()
+    except (EOFError, KeyboardInterrupt):
+        console.print("\n[yellow]Sign-in cancelled.[/]")
+        return 130
+    if not key:
+        console.print("[red]No API key provided.[/]")
+        return 2
+    try:
+        opencode.validate_api_key(key)
+    except opencode.OpencodeAuthError as exc:
+        console.print(f"[red]SIGN-IN FAILED:[/] {exc}")
+        return 1
+    opencode.save_api_key(key)
+    _print_opencode_success(console)
+    return 0
+
+
+def _print_opencode_success(console: Console) -> None:
+    text = Text()
+    text.append("Signed in with your OpenCode account", style="bold #22c55e")
+    text.append("\n\n", style="white")
+    text.append("Set ", style="white")
+    text.append("STRIX_LLM", style="bold white")
+    text.append(" to an ", style="white")
+    text.append("opencode/", style="bold cyan")
+    text.append(" model (e.g. ", style="white")
+    text.append("opencode/claude-sonnet-5", style="bold cyan")
+    text.append(") to run on Zen credits, or ", style="white")
+    text.append("opencode-go/", style="bold cyan")
+    text.append(" (e.g. ", style="white")
+    text.append("opencode-go/kimi-k3", style="bold cyan")
+    text.append(") to run on the Go subscription.", style="white")
+    text.append("\n\n", style="white")
+    text.append("Run a scan as usual, e.g. ", style="white")
+    text.append("strix --target https://example.com", style="bold cyan")
+    console.print()
+    console.print(
+        Panel(
+            text,
+            title="[bold white]STRIX",
+            title_align="left",
+            border_style="#22c55e",
+            padding=(1, 2),
+        )
+    )
+    console.print()
+
+
 def _run_oauth_flow(
     console: Console,
     authorize_url: str,
@@ -244,24 +313,41 @@ def _first(query: dict[str, list[str]], key: str) -> str | None:
 
 def _status(console: Console) -> int:
     record = codex.read_record()
-    if record is None:
-        console.print("[yellow]Not signed in.[/] Run [cyan]strix auth login chatgpt[/] to sign in.")
+    opencode_signed_in = opencode.is_authenticated()
+    if record is None and not opencode_signed_in:
+        console.print(
+            "[yellow]Not signed in.[/] Run [cyan]strix auth login chatgpt[/] or "
+            "[cyan]strix auth login opencode[/] to sign in."
+        )
         return 1
     settings = load_settings()
-    console.print("[green]Signed in[/] with a ChatGPT subscription.")
-    console.print(f"  Account: [bold]{record.get('account_id')}[/]")
-    if codex.subscription_model(settings.llm.model):
+    if record is not None:
+        console.print("[green]Signed in[/] with a ChatGPT subscription.")
+        console.print(f"  Account: [bold]{record.get('account_id')}[/]")
+    if opencode_signed_in:
+        console.print("[green]Signed in[/] with an OpenCode account.")
+    if codex.subscription_model(settings.llm.model) or opencode.subscription_model(
+        settings.llm.model
+    ):
         console.print(f"  Runs use the subscription (STRIX_LLM=[bold]{settings.llm.model}[/]).")
     else:
         console.print(
-            "  [yellow]Note:[/] set [cyan]STRIX_LLM[/] to e.g. [cyan]chatgpt/gpt-5.4[/] "
-            "to run on the subscription."
+            "  [yellow]Note:[/] set [cyan]STRIX_LLM[/] to e.g. [cyan]chatgpt/gpt-5.4[/] or "
+            "[cyan]opencode/claude-sonnet-5[/] to run on a subscription."
         )
     return 0
 
 
-def _logout(console: Console) -> int:
-    codex.logout()
+def _logout(console: Console, argv: list[str] | None = None) -> int:
+    target = (argv[0].lower() if argv else "") or "all"
+    if target in _ACCEPTED_PROVIDERS or target == "all":
+        codex.logout()
+    if target in _OPENCODE_PROVIDERS or target == "all":
+        opencode.logout()
+    if target != "all" and target not in _ACCEPTED_PROVIDERS | _OPENCODE_PROVIDERS:
+        console.print(f"[red]Unknown provider:[/] {target}\n")
+        console.print(_USAGE)
+        return 2
     console.print("[green]Signed out.[/] Stored subscription credentials removed.")
     return 0
 

strix/interface/cli_args.py

@@ -328,10 +328,11 @@ def _load_resume_state(args: argparse.Namespace, parser: argparse.ArgumentParser
         parser.error(f"--resume {args.resume}: run.json unreadable: {exc}")
 
     args.targets_info = state.get("targets_info") or []
-    # A target-less run has no targets_info at all: it works in a mounted
-    # directory, driven by its instruction.
+    # A target-less run has no targets_info at all. It is driven by its
+    # instruction, over a mounted working directory or over nothing when the
+    # mount was declined, so either of those is enough to resume it.
     workspace_mount = state.get("workspace_mount") or None
-    if not args.targets_info and not workspace_mount:
+    if not args.targets_info and not workspace_mount and not state.get("user_instruction"):
         parser.error(f"--resume {args.resume}: run.json has no targets_info")
 
     for target in args.targets_info:

strix/interface/environment.py

@@ -8,7 +8,7 @@ from rich.console import Console
 from rich.panel import Panel
 from rich.text import Text
 
-from strix.config import codex, load_settings
+from strix.config import codex, load_settings, opencode
 from strix.interface.utils import (
     check_docker_connection,
     image_exists,
@@ -37,6 +37,16 @@ def validate_environment() -> None:
         logger.info("Environment OK (ChatGPT subscription)")
         return
 
+    if opencode.subscription_model(settings.llm.model):
+        if not opencode.is_authenticated():
+            console.print(
+                f"[red]STRIX_LLM={settings.llm.model} uses your OpenCode subscription, "
+                "but you're not signed in.[/] Run [cyan]strix auth login opencode[/] first."
+            )
+            sys.exit(1)
+        logger.info("Environment OK (OpenCode subscription)")
+        return
+
     if not settings.llm.model:
         missing_required_vars.append("STRIX_LLM")
 

strix/interface/main.py

@@ -14,7 +14,7 @@ from rich.console import Console
 from rich.panel import Panel
 from rich.text import Text
 
-from strix.config import codex, load_settings, persist_current
+from strix.config import codex, load_settings, opencode, persist_current
 from strix.core.paths import run_dir_for
 from strix.interface.cli_args import parse_arguments
 from strix.interface.environment import (
@@ -104,8 +104,14 @@ def _provider_import_hint(exc: BaseException, model: str) -> str | None:
 
 
 def _subscription_error_hint(exc: BaseException) -> str | None:
-    """Return an actionable hint for a known ChatGPT-subscription error, or None."""
-    if not codex.subscription_model(load_settings().llm.model):
+    """Return an actionable hint for a known subscription error, or None."""
+    model = load_settings().llm.model
+    if opencode.subscription_model(model):
+        joined = " ".join(_exception_messages(exc)).lower()
+        if "error code: 401" in joined or "http 401" in joined or "unauthorized" in joined:
+            return "Your OpenCode API key was rejected. Sign in again:\n  strix auth login opencode"
+        return None
+    if not codex.subscription_model(model):
         return None
     joined = " ".join(_exception_messages(exc)).lower()
     if "not supported when using codex with a chatgpt account" in joined:
@@ -224,6 +230,7 @@ async def warm_up_llm(show_model_warning: bool = True) -> None:
                 request_timeout=llm.timeout,
                 prompt_cache=False,
                 extra_headers=settings.dedupe.extra_headers,
+                has_tools=False,
             )
             if deduper_extra:
                 merged = {**(deduper_settings.extra_args or {}), **deduper_extra}

strix/interface/scan_setup.py

@@ -14,7 +14,7 @@ import logging
 from datetime import UTC, datetime
 from typing import TYPE_CHECKING, Any
 
-from strix.config import Settings, codex, load_settings
+from strix.config import Settings, load_settings, opencode
 from strix.core.paths import run_dir_for
 from strix.interface.utils import (
     assign_workspace_subdirs,
@@ -78,6 +78,7 @@ async def preflight_model_connection(
         request_timeout=resolved_settings.llm.timeout,
         prompt_cache=False,
         extra_headers=resolved_settings.llm.extra_headers,
+        has_tools=False,
     )
     await asyncio.wait_for(
         model.get_response(
@@ -225,7 +226,7 @@ def telemetry_start(args: argparse.Namespace) -> None:
     model = load_settings().llm.model
     kwargs = {
         "model": model,
-        "auth_mode": codex.auth_mode(model),
+        "auth_mode": opencode.auth_mode(model),
         "scan_mode": args.scan_mode,
         "is_whitebox": is_whitebox_scan(args.targets_info),
         "interactive": not args.non_interactive,
@@ -246,7 +247,8 @@ def _persist_run_record(args: argparse.Namespace) -> None:
         "status": "running",
         "start_time": datetime.now(UTC).isoformat(),
         "end_time": None,
-        "auth_mode": codex.auth_mode(load_settings().llm.model),
+        "auth_mode": opencode.auth_mode(load_settings().llm.model),
+        "subscription_provider": opencode.subscription_provider(load_settings().llm.model),
         "targets_info": args.targets_info,
         "scan_mode": args.scan_mode,
         "instruction": args.instruction,

strix/interface/tui/backend/controller.py

@@ -24,7 +24,7 @@ from strix.interface.tui.backend.projection import (
     sanitize_terminal_text,
     terminal_projection,
 )
-from strix.interface.utils import is_subscription_run
+from strix.interface.utils import is_subscription_run, subscription_label
 
 
 if TYPE_CHECKING:
@@ -138,13 +138,6 @@ class TuiController:
         self.error = detail
         self.notify_changed()
 
-    def enter_setup(self) -> None:
-        """Return a session to the start screen, e.g. on a declined mount."""
-        self.setup_mode = True
-        self.scan_started = False
-        self.scan_state = "setup"
-        self.notify_changed()
-
     def add_message(self, text: str, level: str = "info") -> None:
         self._append_message(text, level)
         self.notify_changed()
@@ -171,6 +164,10 @@ class TuiController:
         subscription = False
         with contextlib.suppress(Exception):
             subscription = is_subscription_run(self.report_state)
+        label = ""
+        if subscription:
+            with contextlib.suppress(Exception):
+                label = subscription_label()
         model_warning = ""
         if model and not is_recommended_or_frontier_model(model):
             model_warning = (
@@ -207,6 +204,7 @@ class TuiController:
             ],
             "usage": terminal_projection(usage, max_string=256, max_items=20),
             "subscription": subscription,
+            "subscription_label": label,
             "viewer_status": self.viewer_status,
             "viewer_url": terminal_projection(self.viewer_url, max_string=1024),
             "error": terminal_projection(self.error, max_string=2 * 1024),
@@ -356,14 +354,12 @@ class TuiController:
         if not isinstance(approved, bool):
             raise TypeError("approved must be a boolean")
         self.pending_workspace_mount = None
-        if not approved:
-            # Nothing was prepared, so return to the start screen untouched.
-            self.workspace_mount = None
-            self.enter_setup()
-            return {"approved": False}
-        self.workspace_mount = mount
+        # Declining skips the mount, it does not abandon the scan. The prompt is
+        # the whole of the input either way; the working directory is only an
+        # extra the agent may look at, so the run goes ahead without one.
+        self.workspace_mount = mount if approved else None
         await self._begin_scan(self._pending_verify)
-        return {"approved": True}
+        return {"approved": approved}
 
     async def _send_message(self, payload: dict[str, Any]) -> dict[str, Any]:
         agent_id = self._required_string(payload, "agent_id")

strix/interface/tui/internal/app/findings_test.go

@@ -0,0 +1,299 @@
+package app
+
+import (
+	"encoding/json"
+	"fmt"
+	"strings"
+	"testing"
+
+	tea "github.com/charmbracelet/bubbletea"
+	"github.com/charmbracelet/x/ansi"
+	"github.com/usestrix/strix/tui/internal/protocol"
+)
+
+func findingsModel(t *testing.T, titles ...string) Model {
+	t.Helper()
+	m := New(nil)
+	m.width, m.height = 130, 30
+	m.showSplash = false
+	m.handleEnvelope(stateEnvelope(t, 1, protocol.Snapshot{ScanState: "running"}))
+	items := make([]json.RawMessage, 0, len(titles))
+	for i, title := range titles {
+		items = append(items, rawJSON(t, map[string]any{
+			"id": string(rune('a' + i)), "title": title, "severity": "high",
+		}))
+	}
+	m.handleEnvelope(protocol.Envelope{Version: protocol.Version, Type: "collection_bootstrap",
+		Payload: rawJSON(t, protocol.CollectionBootstrap{
+			Collection: "vulnerabilities", Revision: 1, Cursor: 0,
+			NextCursor: len(items), Done: true, Items: items,
+		})})
+	m.resizeViewport()
+	return m
+}
+
+// The list scrolls by row, not by finding. Stepping a whole entry at a time is
+// what made a list of wrapped titles feel paginated.
+func TestFindingsScrollByRow(t *testing.T) {
+	long := "A deliberately long finding title that wraps across several rows in the sidebar"
+	m := findingsModel(t, long, long, long)
+
+	rows := m.vulnerabilityRows(m.vulnerabilityListWidth())
+	if len(rows) <= 3 {
+		t.Fatalf("titles did not wrap, so this proves nothing: %d rows", len(rows))
+	}
+	total, offset := m.vulnerabilityScrollRows()
+	if total != len(rows) || offset != 0 {
+		t.Fatalf("scroll metrics are not in rows: total=%d offset=%d rows=%d", total, offset, len(rows))
+	}
+
+	// One step of the offset moves one row, and the first visible line follows it.
+	first := strings.Split(ansi.Strip(m.vulnerabilitiesView(40, 4)), "\n")[0]
+	m.vulnOffset = 1
+	second := strings.Split(ansi.Strip(m.vulnerabilitiesView(40, 4)), "\n")[0]
+	if first == second {
+		t.Fatalf("advancing one row did not move the list: %q", first)
+	}
+	// That row still belongs to the first finding, which an item-stepping list
+	// would have skipped past entirely.
+	if got := m.vulnerabilityIndexAtRow(0); got != 0 {
+		t.Fatalf("one row in, the top line belongs to finding %d, want 0", got)
+	}
+}
+
+// Selecting a finding scrolls the least it can, and never past its own start.
+func TestSelectingAFindingBringsItIntoView(t *testing.T) {
+	long := "A deliberately long finding title that wraps across several rows in the sidebar"
+	m := findingsModel(t, long, long, long, long)
+
+	m.selectedVuln = 3
+	m.ensureVulnerabilityVisible()
+
+	rows := m.vulnerabilityRows(m.vulnerabilityListWidth())
+	height := m.vulnerabilityPageSize()
+	end := min(len(rows), m.vulnOffset+height)
+	found := false
+	for _, row := range rows[m.vulnOffset:end] {
+		if row.index == 3 {
+			found = true
+			break
+		}
+	}
+	if !found {
+		t.Fatalf("the selected finding is not on screen: offset=%d height=%d", m.vulnOffset, height)
+	}
+	if m.vulnOffset > len(rows)-height && len(rows) > height {
+		t.Fatalf("scrolled past the end: offset=%d rows=%d height=%d", m.vulnOffset, len(rows), height)
+	}
+}
+
+func reportModel(t *testing.T, count int) Model {
+	t.Helper()
+	titles := make([]string, 0, count)
+	for i := range count {
+		titles = append(titles, fmt.Sprintf("Finding number %d", i+1))
+	}
+	m := findingsModel(t, titles...)
+	m.openModal(modalVulnerability)
+	return m
+}
+
+// The open report can be stepped through the list without closing it.
+func TestReportStepsBetweenFindings(t *testing.T) {
+	m := reportModel(t, 3)
+
+	updated, _ := m.updateModal(tea.KeyMsg{Type: tea.KeyRight})
+	m = updated.(Model)
+	if m.selectedVuln != 1 {
+		t.Fatalf("right moved to %d, want 1", m.selectedVuln)
+	}
+	if m.modal != modalVulnerability {
+		t.Fatal("stepping closed the report")
+	}
+	updated, _ = m.updateModal(tea.KeyMsg{Type: tea.KeyLeft})
+	m = updated.(Model)
+	if m.selectedVuln != 0 {
+		t.Fatalf("left moved to %d, want 0", m.selectedVuln)
+	}
+}
+
+// The ends do not wrap: rolling from the last report to the first would hide
+// that you had reached the end.
+func TestReportStepsStopAtTheEnds(t *testing.T) {
+	m := reportModel(t, 3)
+
+	updated, _ := m.updateModal(tea.KeyMsg{Type: tea.KeyLeft})
+	m = updated.(Model)
+	if m.selectedVuln != 0 {
+		t.Fatalf("left from the first report moved to %d, want 0", m.selectedVuln)
+	}
+
+	m.selectedVuln = 2
+	updated, _ = m.updateModal(tea.KeyMsg{Type: tea.KeyRight})
+	m = updated.(Model)
+	if m.selectedVuln != 2 {
+		t.Fatalf("right from the last report moved to %d, want 2", m.selectedVuln)
+	}
+}
+
+// Each direction is offered only when there is a report that way, and a lone
+// finding is offered neither.
+func TestReportNavigationHintsFollowAvailability(t *testing.T) {
+	m := reportModel(t, 3)
+	for _, testCase := range []struct {
+		index              int
+		wantPrev, wantNext bool
+		position           string
+	}{
+		{index: 0, wantNext: true, position: "1/3"},
+		{index: 1, wantPrev: true, wantNext: true, position: "2/3"},
+		{index: 2, wantPrev: true, position: "3/3"},
+	} {
+		m.selectedVuln = testCase.index
+		view := ansi.Strip(m.modalView())
+		if !strings.Contains(view, testCase.position) {
+			t.Fatalf("report %d does not show %q", testCase.index, testCase.position)
+		}
+		if got := strings.Contains(view, reportPrev); got != testCase.wantPrev {
+			t.Fatalf("report %d prev hint = %v, want %v", testCase.index, got, testCase.wantPrev)
+		}
+		if got := strings.Contains(view, reportNext); got != testCase.wantNext {
+			t.Fatalf("report %d next hint = %v, want %v", testCase.index, got, testCase.wantNext)
+		}
+	}
+
+	lone := reportModel(t, 1)
+	view := ansi.Strip(lone.modalView())
+	if strings.Contains(view, reportPrev) || strings.Contains(view, reportNext) || strings.Contains(view, "1/1") {
+		t.Fatalf("a lone finding offered navigation:\n%s", view)
+	}
+}
+
+// A new report opens at its top, and the copy state does not carry over.
+func TestSteppingResetsTheReportView(t *testing.T) {
+	m := reportModel(t, 3)
+	m.vulnerabilityCopied = true
+	m.vulnViewport.SetYOffset(3)
+
+	m.showVulnerability(1)
+
+	if m.vulnViewport.YOffset != 0 {
+		t.Fatalf("the next report opened scrolled to %d", m.vulnViewport.YOffset)
+	}
+	if m.vulnerabilityCopied {
+		t.Fatal("the copy state carried over to another report")
+	}
+}
+
+// Prev and Next are buttons, not just key hints: they can be clicked.
+func TestReportStepButtonsAreClickable(t *testing.T) {
+	m := reportModel(t, 3)
+	m.selectedVuln = 1
+
+	click := func(label string) Model {
+		t.Helper()
+		view := m.modalView()
+		left, top, _, _ := m.centeredViewBounds(view)
+		for row, line := range strings.Split(view, "\n") {
+			plain := ansi.Strip(line)
+			index := strings.Index(plain, label)
+			if index < 0 {
+				continue
+			}
+			updated, _ := m.updateModalMouse(tea.MouseMsg{
+				X: left + ansi.StringWidth(plain[:index]) + 1, Y: top + row,
+				Button: tea.MouseButtonLeft, Action: tea.MouseActionPress,
+			})
+			return updated.(Model)
+		}
+		t.Fatalf("%q was not rendered", label)
+		return m
+	}
+
+	if got := click(reportNext).selectedVuln; got != 2 {
+		t.Fatalf("clicking Next selected %d, want 2", got)
+	}
+	if got := click(reportPrev).selectedVuln; got != 0 {
+		t.Fatalf("clicking Prev selected %d, want 0", got)
+	}
+	if got := click(reportNext).modal; got != modalVulnerability {
+		t.Fatalf("clicking Next closed the report: modal=%v", got)
+	}
+}
+
+// Tab walks the whole row, so the step buttons are reachable from the keyboard
+// as well, and Enter presses whichever one is focused.
+func TestTabReachesTheStepButtons(t *testing.T) {
+	m := reportModel(t, 3)
+	m.selectedVuln = 1
+
+	if got := m.focusedReportButton(); got != reportDone {
+		t.Fatalf("the report opened focused on %q, want %q", got, reportDone)
+	}
+	seen := map[string]bool{}
+	for range len(m.reportButtons()) {
+		updated, _ := m.updateModal(tea.KeyMsg{Type: tea.KeyTab})
+		m = updated.(Model)
+		seen[m.focusedReportButton()] = true
+	}
+	for _, want := range []string{reportPrev, reportNext, reportCopy, reportDone} {
+		if !seen[want] {
+			t.Fatalf("tab never reached %q: %v", want, seen)
+		}
+	}
+
+	// Enter on a focused step button steps.
+	m.reportFocus = reportNext
+	updated, _ := m.updateModal(tea.KeyMsg{Type: tea.KeyEnter})
+	if got := updated.(Model).selectedVuln; got != 2 {
+		t.Fatalf("enter on Next selected %d, want 2", got)
+	}
+}
+
+// Stepping to an end drops that button from the row; focus must not be stranded
+// on it.
+func TestFocusFallsBackWhenAStepButtonDisappears(t *testing.T) {
+	m := reportModel(t, 2)
+	m.selectedVuln = 0
+	m.reportFocus = reportNext
+
+	updated, _ := m.updateModal(tea.KeyMsg{Type: tea.KeyEnter})
+	m = updated.(Model)
+
+	if m.selectedVuln != 1 {
+		t.Fatalf("enter on Next selected %d, want 1", m.selectedVuln)
+	}
+	// Next is gone at the last report, so the focus cannot still be on it.
+	if got := m.focusedReportButton(); got == reportNext {
+		t.Fatalf("focus stayed on a button that is no longer shown: %q", got)
+	}
+	if got := m.focusedReportButton(); got != reportDone {
+		t.Fatalf("focus fell back to %q, want %q", got, reportDone)
+	}
+}
+
+// The list must be laid out at one width. Rendering at one and hit-testing at
+// another gives two different row counts for the same title, and then a click
+// resolves to the wrong finding and the scrollbar reports the wrong length.
+func TestFindingsUseOneWidthForRenderAndInteraction(t *testing.T) {
+	// This title wraps to one row at 21 columns and two at 20, which is exactly
+	// the pair of widths the two paths used to disagree on.
+	m := findingsModel(t, "ffffff dddd a a a a", "eeeee eeeee a a a a", "header dddd a a a a")
+
+	width := m.vulnerabilityListWidth()
+	rows := m.vulnerabilityRows(width)
+	rendered := strings.Split(ansi.Strip(m.vulnerabilitiesView(width, len(rows))), "\n")
+
+	if len(rendered) != len(rows) {
+		t.Fatalf("rendered %d rows, interaction counts %d", len(rendered), len(rows))
+	}
+	for row := range rendered {
+		if got := m.vulnerabilityIndexAtRow(row); got != rows[row].index {
+			t.Fatalf("row %d shows finding %d but a click resolves to %d",
+				row, rows[row].index, got)
+		}
+	}
+	if total, _ := m.vulnerabilityScrollRows(); total != len(rendered) {
+		t.Fatalf("the scrollbar reports %d rows, %d are rendered", total, len(rendered))
+	}
+}

strix/interface/tui/internal/app/model.go

@@ -110,6 +110,7 @@ type Model struct {
 	agentOffset            int
 	vulnOffset             int
 	modalChoice            int
+	reportFocus            string
 	ready                  bool
 	quitting               bool
 	showSplash             bool
@@ -157,12 +158,16 @@ const (
 	treeCursorBg = lipgloss.Color("#0178d4")
 )
 
-// Scrollbar thumbs. Each panel keeps its own, and the track stays blank so a
-// scrollable panel does not gain a visible rule down its edge.
+// Scrollbar thumbs. The track stays blank so a scrollable panel does not gain a
+// visible rule down its edge, and the thumb brightens while it is dragged, which
+// is the feedback Textual gave through scrollbar-color-active.
+//
+// One resting color for every panel, rather than the three the stylesheet named.
+// The chat pane's was #1a1a1a on black, which is invisible - the bar could not be
+// found, let alone grabbed (#1005).
 const (
-	thumbTrace    = lipgloss.Color("#1a1a1a")
-	thumbAgents   = lipgloss.Color("#404040")
-	thumbFindings = lipgloss.Color("#333333")
+	thumbResting = lipgloss.Color("#3f3f46")
+	thumbActive  = lipgloss.Color("#9ca3af")
 )
 
 // Composer placeholders. The launch screen falls back to the short prompt when

strix/interface/tui/internal/app/model_test.go

@@ -527,7 +527,8 @@ func TestVulnerabilityCopySupportsKeyboardAndMouse(t *testing.T) {
 	}
 
 	model := newModel()
-	updated, _ := model.updateModal(tea.KeyMsg{Type: tea.KeyLeft})
+	// Tab moves between the buttons; the arrows step between reports.
+	updated, _ := model.updateModal(tea.KeyMsg{Type: tea.KeyTab})
 	model = updated.(Model)
 	updated, cmd := model.updateModal(tea.KeyMsg{Type: tea.KeyEnter})
 	model = updated.(Model)
@@ -560,8 +561,8 @@ func TestVulnerabilityCopySupportsKeyboardAndMouse(t *testing.T) {
 		X: copyX, Y: copyY, Button: tea.MouseButtonLeft, Action: tea.MouseActionPress,
 	})
 	model = updated.(Model)
-	if cmd == nil || model.modalChoice != 0 {
-		t.Fatalf("mouse Copy was not activated: choice=%d cmd=%v", model.modalChoice, cmd)
+	if cmd == nil || model.reportFocus != reportCopy {
+		t.Fatalf("mouse Copy was not activated: focus=%q cmd=%v", model.reportFocus, cmd)
 	}
 	cmd()
 	if len(copied) != 2 {
@@ -820,8 +821,8 @@ func TestRunningViewerShowsCompleteWrappedURL(t *testing.T) {
 }
 
 func TestVerticalScrollbarThumbTracksScrollOffset(t *testing.T) {
-	top := strings.Split(ansi.Strip(verticalScrollbar(6, 24, 6, 0, thumbAgents)), "\n")
-	bottom := strings.Split(ansi.Strip(verticalScrollbar(6, 24, 6, 18, thumbAgents)), "\n")
+	top := strings.Split(ansi.Strip(verticalScrollbar(6, 24, 6, 0, thumbResting)), "\n")
+	bottom := strings.Split(ansi.Strip(verticalScrollbar(6, 24, 6, 18, thumbResting)), "\n")
 
 	// The track is blank, so only the thumb is drawn.
 	if top[0] != "█" || top[5] != " " {
@@ -830,10 +831,10 @@ func TestVerticalScrollbarThumbTracksScrollOffset(t *testing.T) {
 	if bottom[0] != " " || bottom[5] != "█" {
 		t.Fatalf("bottom scrollbar is incorrect: %#v", bottom)
 	}
-	if full := verticalScrollbar(4, 4, 4, 0, thumbAgents); full != "" {
+	if full := verticalScrollbar(4, 4, 4, 0, thumbResting); full != "" {
 		t.Fatalf("non-overflowing scrollbar should be hidden: %q", full)
 	}
-	withoutBar := ansi.Strip(withVerticalScrollbar("content", 12, 2, 2, 2, 0, thumbAgents))
+	withoutBar := ansi.Strip(withVerticalScrollbar("content", 12, 2, 2, 2, 0, thumbResting))
 	if strings.ContainsAny(withoutBar, "█") {
 		t.Fatalf("non-overflowing panel rendered a scrollbar: %q", withoutBar)
 	}
@@ -841,7 +842,7 @@ func TestVerticalScrollbarThumbTracksScrollOffset(t *testing.T) {
 
 // The bar takes exactly one column, so a scrolling panel keeps the rest.
 func TestVerticalScrollbarOccupiesOneColumn(t *testing.T) {
-	rows := strings.Split(withVerticalScrollbar("content", 12, 2, 24, 2, 0, thumbTrace), "\n")
+	rows := strings.Split(withVerticalScrollbar("content", 12, 2, 24, 2, 0, thumbResting), "\n")
 	for _, row := range rows {
 		if width := ansi.StringWidth(row); width != 12 {
 			t.Fatalf("scrolling panel row width = %d, want 12", width)

strix/interface/tui/internal/app/setup.go

@@ -66,13 +66,10 @@ func (m *Model) submitSetupPrompt(value string) (tea.Model, tea.Cmd) {
 }
 
 // answerMountConfirmation replies to the working-directory mount the backend is
-// waiting on. Declining returns to the start screen, so the prompt goes back in
-// the composer to be edited or given a target instead.
+// waiting on. Either answer starts the scan - declining only means it runs
+// without the directory - so the prompt stays with the run rather than coming
+// back to the composer.
 func (m *Model) answerMountConfirmation(approved bool) tea.Cmd {
-	if !approved && m.pendingPrompt != "" {
-		m.input.SetValue(m.pendingPrompt)
-		m.resizeViewport()
-	}
 	m.pendingPrompt = ""
 	return send(m.client, "setup.confirm_mount", map[string]any{"approved": approved})
 }

strix/interface/tui/internal/app/setup_prompt_test.go

@@ -247,13 +247,10 @@ func TestMountConfirmationAnswers(t *testing.T) {
 		if payload.Approved != tc.approved {
 			t.Fatalf("%s: approved=%v, want %v", tc.name, payload.Approved, tc.approved)
 		}
-		// Declining returns to the start screen, so the prompt comes back.
-		want := ""
-		if !tc.approved {
-			want = "find auth bugs in the login flow"
-		}
-		if got := model.input.Value(); got != want {
-			t.Fatalf("%s: composer = %q, want %q", tc.name, got, want)
+		// Either answer launches, so the prompt stays with the run rather than
+		// coming back to the composer.
+		if got := model.input.Value(); got != "" {
+			t.Fatalf("%s: composer = %q, want it cleared", tc.name, got)
 		}
 		if model.pendingPrompt != "" {
 			t.Fatalf("%s: held prompt was not cleared: %q", tc.name, model.pendingPrompt)
@@ -290,3 +287,101 @@ func TestSetupPromptWithTargetLaunches(t *testing.T) {
 		t.Fatalf("setup.start (%d) must come after setup.set_instruction (%d): %v", start, instr, types)
 	}
 }
+
+// The prompt's buttons are buttons: clicking Cancel has to answer the backend,
+// which it could not do while the mouse handler had no case for this modal.
+func TestMountPromptButtonsAreClickable(t *testing.T) {
+	for _, testCase := range []struct {
+		label    string
+		approved bool
+	}{
+		{mountConfirmLabel, true},
+		{mountCancelLabel, false},
+	} {
+		connection := &recordingConn{}
+		model := New(&Client{conn: connection})
+		model.width, model.height = 130, 40
+		model.snapshot = protocol.Snapshot{SetupMode: true, WorkingDir: "/Users/me/code/api"}
+		updated, _ := model.submit("find auth bugs in the login flow")
+		model = updated.(Model)
+		connection.Reset()
+		model.snapshot = protocol.Snapshot{
+			ScanStarted: true, ScanState: "preparing", PendingMount: "/Users/me/code/api",
+		}
+		model.syncMountPrompt()
+
+		left, top, panel := model.mountPromptBounds()
+		clicked := false
+		for row, line := range strings.Split(panel, "\n") {
+			plain := ansi.Strip(line)
+			index := strings.Index(plain, testCase.label)
+			if index < 0 {
+				continue
+			}
+			updated, cmd := model.updateModalMouse(tea.MouseMsg{
+				X: left + ansi.StringWidth(plain[:index]) + 1, Y: top + row,
+				Button: tea.MouseButtonLeft, Action: tea.MouseActionPress,
+			})
+			model = updated.(Model)
+			envelopes := drainCommands(t, cmd, connection)
+			if len(envelopes) != 1 || envelopes[0].Type != "setup.confirm_mount" {
+				t.Fatalf("clicking %s sent %v", testCase.label, commandTypes(envelopes))
+			}
+			var payload struct {
+				Approved bool `json:"approved"`
+			}
+			if err := json.Unmarshal(envelopes[0].Payload, &payload); err != nil {
+				t.Fatal(err)
+			}
+			if payload.Approved != testCase.approved {
+				t.Fatalf("clicking %s answered approved=%v", testCase.label, payload.Approved)
+			}
+			clicked = true
+			break
+		}
+		if !clicked {
+			t.Fatalf("%s was not found in the prompt", testCase.label)
+		}
+	}
+}
+
+// Skipping the mount runs the scan without a directory. It must not throw the
+// session back to the start screen, and it must not hand the prompt back: the
+// run has it.
+func TestSkippingTheMountKeepsTheScanRunning(t *testing.T) {
+	connection := &recordingConn{}
+	model := New(&Client{conn: connection})
+	model.width, model.height = 130, 40
+	model.snapshot = protocol.Snapshot{SetupMode: true, WorkingDir: "/Users/me/code/api"}
+	updated, _ := model.submit("find auth bugs in the login flow")
+	model = updated.(Model)
+	model.snapshot = protocol.Snapshot{
+		ScanStarted: true, ScanState: "preparing", PendingMount: "/Users/me/code/api",
+	}
+	model.syncMountPrompt()
+	if model.modal != modalConfirmMount {
+		t.Fatal("the prompt did not open")
+	}
+
+	model.modalChoice = 1
+	updated, _ = model.updateModal(tea.KeyMsg{Type: tea.KeyEnter})
+	model = updated.(Model)
+
+	// The backend answers by starting the scan with no mount.
+	model.handleEnvelope(stateEnvelope(t, 2, protocol.Snapshot{
+		ScanStarted: true, ScanState: "running",
+	}))
+
+	if model.modal != modalNone {
+		t.Fatalf("the prompt is still open: %v", model.modal)
+	}
+	if model.snapshot.SetupMode {
+		t.Fatal("skipping the mount fell back to the start screen")
+	}
+	if got := model.input.Value(); got != "" {
+		t.Fatalf("the prompt came back to the composer: %q", got)
+	}
+	if model.pendingPrompt != "" {
+		t.Fatalf("the held prompt was not released: %q", model.pendingPrompt)
+	}
+}

strix/interface/tui/internal/app/update.go

@@ -219,7 +219,8 @@ func (m Model) updateMouse(msg tea.MouseMsg) (tea.Model, tea.Cmd) {
 			case vulnHeight > 0 && y < viewerHeight+agentHeight+vulnHeight:
 				m.focus = focusVulnerabilities
 				m.input.Blur()
-				m.vulnOffset = min(max(0, len(m.snapshot.Vulnerabilities)-1), m.vulnOffset+3)
+				totalRows, _ := m.vulnerabilityScrollRows()
+				m.vulnOffset = min(max(0, totalRows-m.vulnerabilityPageSize()), m.vulnOffset+3)
 				m.keepVulnerabilitySelectionInWindow()
 			}
 			return m, nil
@@ -318,24 +319,7 @@ func (m *Model) updateMainScrollbarMouse(
 	if msg.Action != tea.MouseActionPress || msg.Button != tea.MouseButtonLeft {
 		return false
 	}
-
-	target := scrollbarNone
-	switch {
-	case msg.X == chatWidth-2 && msg.Y >= 1 && msg.Y < chatHeight-1 &&
-		m.viewport.TotalLineCount() > m.viewport.VisibleLineCount():
-		target = scrollbarTrace
-	case showSidebar && msg.X == m.width-3 && msg.Y >= viewerHeight+2 &&
-		msg.Y < viewerHeight+agentHeight-2 &&
-		len(agentTreeEntries(m.snapshot.Agents, m.collapsedAgents)) > m.agentPageSize():
-		target = scrollbarAgents
-	case showSidebar && vulnHeight > 0 && msg.X == m.width-3 &&
-		msg.Y >= viewerHeight+agentHeight+1 &&
-		msg.Y < viewerHeight+agentHeight+vulnHeight-1:
-		totalRows, _ := m.vulnerabilityScrollRows()
-		if totalRows > m.vulnerabilityPageSize() {
-			target = scrollbarFindings
-		}
-	}
+	target := m.scrollbarAt(msg, showSidebar, chatWidth, chatHeight, viewerHeight, agentHeight, vulnHeight)
 	if target == scrollbarNone {
 		return false
 	}
@@ -344,6 +328,40 @@ func (m *Model) updateMainScrollbarMouse(
 	return true
 }
 
+// scrollbarGrab is how far either side of the bar still counts as grabbing it. A
+// one column target is unreasonable to hit with a mouse, and nothing else lives
+// in the column beside it.
+const scrollbarGrab = 1
+
+func nearColumn(x, column int) bool {
+	return x >= column-scrollbarGrab && x <= column+scrollbarGrab
+}
+
+// scrollbarAt reports which scrollbar, if any, the pointer is over.
+func (m Model) scrollbarAt(
+	msg tea.MouseMsg,
+	showSidebar bool,
+	chatWidth, chatHeight, viewerHeight, agentHeight, vulnHeight int,
+) scrollbarTarget {
+	switch {
+	case nearColumn(msg.X, chatWidth-2) && msg.Y >= 1 && msg.Y < chatHeight-1 &&
+		m.viewport.TotalLineCount() > m.viewport.VisibleLineCount():
+		return scrollbarTrace
+	case showSidebar && nearColumn(msg.X, m.width-3) && msg.Y >= viewerHeight+2 &&
+		msg.Y < viewerHeight+agentHeight-2 &&
+		len(agentTreeEntries(m.snapshot.Agents, m.collapsedAgents)) > m.agentPageSize():
+		return scrollbarAgents
+	case showSidebar && vulnHeight > 0 && nearColumn(msg.X, m.width-3) &&
+		msg.Y >= viewerHeight+agentHeight+1 &&
+		msg.Y < viewerHeight+agentHeight+vulnHeight-1:
+		totalRows, _ := m.vulnerabilityScrollRows()
+		if totalRows > m.vulnerabilityPageSize() {
+			return scrollbarFindings
+		}
+	}
+	return scrollbarNone
+}
+
 func (m *Model) scrollFromMouse(
 	target scrollbarTarget,
 	y, chatHeight, viewerHeight, agentHeight int,
@@ -367,10 +385,10 @@ func (m *Model) scrollFromMouse(
 	case scrollbarFindings:
 		height := m.vulnerabilityPageSize()
 		totalRows, _ := m.vulnerabilityScrollRows()
-		rowOffset := scrollbarOffset(y-viewerHeight-agentHeight-1, height, totalRows, height)
 		m.focus = focusVulnerabilities
 		m.input.Blur()
-		m.vulnOffset = m.vulnerabilityOffsetAtRow(rowOffset)
+		// The offset is a row, so dragging moves the list continuously.
+		m.vulnOffset = scrollbarOffset(y-viewerHeight-agentHeight-1, height, totalRows, height)
 		m.keepVulnerabilitySelectionInWindow()
 	}
 }
@@ -405,6 +423,22 @@ func (m Model) updateSetupMouse(msg tea.MouseMsg) (tea.Model, tea.Cmd) {
 	return m, nil
 }
 
+// pressReportButton performs a button of the report row, however it was reached.
+func (m Model) pressReportButton(button string) (tea.Model, tea.Cmd) {
+	switch button {
+	case reportPrev:
+		m.showVulnerability(m.selectedVuln - 1)
+	case reportNext:
+		m.showVulnerability(m.selectedVuln + 1)
+	case reportCopy:
+		m.reportFocus = reportCopy
+		return m, m.startVulnerabilityCopy()
+	default:
+		m.closeModal()
+	}
+	return m, nil
+}
+
 func (m Model) updateModalMouse(msg tea.MouseMsg) (tea.Model, tea.Cmd) {
 	if m.modal == modalVulnerability {
 		view := m.modalView()
@@ -440,14 +474,35 @@ func (m Model) updateModalMouse(msg tea.MouseMsg) (tea.Model, tea.Cmd) {
 			m.modalChoice = 1
 			return m.updateModal(tea.KeyMsg{Type: tea.KeyEnter})
 		}
-	case modalVulnerability:
-		if m.centeredLabelHit(view, "Copy", msg.X, msg.Y) {
+	case modalConfirmMount:
+		left, top, panel := m.mountPromptBounds()
+		if labelHitAt(panel, mountConfirmLabel, left, top, msg.X, msg.Y) {
 			m.modalChoice = 0
+			cmd := m.answerMountConfirmation(true)
+			return m, cmd
+		}
+		if labelHitAt(panel, mountCancelLabel, left, top, msg.X, msg.Y) {
+			m.modalChoice = 1
+			cmd := m.answerMountConfirmation(false)
+			return m, cmd
+		}
+	case modalVulnerability:
+		for _, button := range m.reportButtons() {
+			if button == reportCopy || button == reportDone {
+				continue
+			}
+			if m.centeredLabelHit(view, button, msg.X, msg.Y) {
+				m.reportFocus = button
+				return m.pressReportButton(button)
+			}
+		}
+		if m.centeredLabelHit(view, "Copy", msg.X, msg.Y) {
+			m.reportFocus = reportCopy
 			cmd := m.startVulnerabilityCopy()
 			return m, cmd
 		}
 		if m.centeredLabelHit(view, "Done", msg.X, msg.Y) {
-			m.modalChoice = 1
+			m.reportFocus = reportDone
 			m.closeModal()
 		}
 	}
@@ -464,7 +519,14 @@ func (m Model) centeredViewBounds(view string) (left, top, width, height int) {
 
 func (m Model) centeredLabelHit(view, label string, x, y int) bool {
 	left, top, _, _ := m.centeredViewBounds(view)
-	for row, line := range strings.Split(view, "\n") {
+	return labelHitAt(view, label, left, top, x, y)
+}
+
+// labelHitAt reports whether a click landed on a label drawn in a panel whose
+// top-left corner is at (left, top). The mount prompt is docked in a corner
+// rather than centered, so it cannot use the centered bounds.
+func labelHitAt(panel, label string, left, top, x, y int) bool {
+	for row, line := range strings.Split(panel, "\n") {
 		plain := ansi.Strip(line)
 		index := strings.Index(plain, label)
 		if index < 0 || y != top+row {
@@ -516,16 +578,19 @@ func (m Model) updateModal(key tea.KeyMsg) (tea.Model, tea.Cmd) {
 		switch key.String() {
 		case "esc":
 			m.closeModal()
-		case "left", "right", "tab", "shift+tab":
-			m.modalChoice = 1 - m.modalChoice
+		// The arrows step between reports directly; tab walks the button row.
+		case "left":
+			m.showVulnerability(m.selectedVuln - 1)
+		case "right":
+			m.showVulnerability(m.selectedVuln + 1)
+		case "tab":
+			m.stepReportFocus(1)
+		case "shift+tab":
+			m.stepReportFocus(-1)
 		case "enter":
-			if m.modalChoice == 0 {
-				cmd := m.startVulnerabilityCopy()
-				return m, cmd
-			}
-			m.closeModal()
+			return m.pressReportButton(m.focusedReportButton())
 		case "c":
-			m.modalChoice = 0
+			m.reportFocus = reportCopy
 			cmd := m.startVulnerabilityCopy()
 			return m, cmd
 		case "up":
@@ -547,7 +612,8 @@ func (m Model) updateModal(key tea.KeyMsg) (tea.Model, tea.Cmd) {
 	case "esc":
 		if m.modal == modalConfirmMount {
 			// The backend is waiting on an answer; escape declines it.
-			return m, m.answerMountConfirmation(false)
+			cmd := m.answerMountConfirmation(false)
+			return m, cmd
 		}
 		m.closeModal()
 		return m, nil
@@ -558,7 +624,10 @@ func (m Model) updateModal(key tea.KeyMsg) (tea.Model, tea.Cmd) {
 		modal, choice := m.modal, m.modalChoice
 		if modal == modalConfirmMount {
 			// The snapshot closes this prompt once the backend has the answer.
-			return m, m.answerMountConfirmation(choice == 0)
+			// Bound to a variable first: the call restores the held prompt into
+			// the composer, and that has to be in the model being returned.
+			cmd := m.answerMountConfirmation(choice == 0)
+			return m, cmd
 		}
 		m.closeModal()
 		if choice == 1 {
@@ -584,6 +653,7 @@ func (m *Model) openModal(mode modalMode) {
 		m.modalChoice = 1
 	}
 	if mode == modalVulnerability {
+		m.reportFocus = reportDone
 		m.modalChoice = 1
 		m.vulnerabilityCopied = false
 		m.vulnerabilityCopyError = ""

strix/interface/tui/internal/app/view.go

@@ -164,6 +164,15 @@ func wrapBlock(value string, width int) string {
 	return strings.Join(out, "\n")
 }
 
+// scrollbarThumb brightens the bar being dragged so the grab reads as taking
+// hold of it.
+func (m Model) scrollbarThumb(target scrollbarTarget) lipgloss.Color {
+	if m.draggingScrollbar == target {
+		return thumbActive
+	}
+	return thumbResting
+}
+
 func verticalScrollbar(height, total, visible, offset int, thumb lipgloss.Color) string {
 	if height <= 0 || total <= visible {
 		return ""
@@ -262,6 +271,23 @@ func (m Model) viewInner() string {
 	return m.toastOverlay(main)
 }
 
+// mountPromptBounds is where the working-directory prompt is drawn. It is placed
+// by cornerOverlay rather than centered, so a click has to be tested against
+// these bounds and not the ones the other modals use.
+func (m Model) mountPromptBounds() (left, top int, panel string) {
+	panel = m.modalView()
+	if panel == "" {
+		return 0, 0, ""
+	}
+	_, _, chatWidth, _ := m.layout()
+	left = max(0, min(chatWidth, m.width)-lipgloss.Width(panel))
+	statusH := 0
+	if m.statusVisible() {
+		statusH = 1
+	}
+	return left, max(0, m.inputTop()-statusH-lipgloss.Height(panel)), panel
+}
+
 // cornerOverlay splices a panel in directly above the composer, right-aligned
 // with it, leaving the rest of the view visible behind it.
 func (m Model) cornerOverlay(view, panel string) string {
@@ -424,7 +450,7 @@ func (m Model) renderChatPane(width, height int, border lipgloss.Color) string {
 		m.viewport.TotalLineCount(),
 		m.viewport.VisibleLineCount(),
 		m.viewport.YOffset,
-		thumbTrace,
+		m.scrollbarThumb(scrollbarTrace),
 	)
 	out := lipgloss.NewStyle().Width(width).Height(height).
 		Border(lipgloss.RoundedBorder()).BorderForeground(border).Render(trace)
@@ -489,7 +515,7 @@ func (m Model) sidebarView(width, height int) string {
 		len(agentEntries),
 		agentRows,
 		m.agentOffset,
-		thumbAgents,
+		m.scrollbarThumb(scrollbarAgents),
 	)
 	parts := []string{
 		lipgloss.NewStyle().Width(width-2).Height(m.viewerHeight()-2).Border(lipgloss.RoundedBorder()).BorderForeground(dark).Padding(0, 1).Render(m.viewerView(width - 4)),
@@ -503,13 +529,13 @@ func (m Model) sidebarView(width, height int) string {
 		vulnRows := max(1, vulnHeight-2)
 		totalRows, offsetRows := m.vulnerabilityScrollRows()
 		findings := withVerticalScrollbar(
-			m.vulnerabilitiesView(max(1, width-5), vulnRows),
+			m.vulnerabilitiesView(m.vulnerabilityListWidth(), vulnRows),
 			width-4,
 			vulnRows,
 			totalRows,
 			vulnRows,
 			offsetRows,
-			thumbFindings,
+			m.scrollbarThumb(scrollbarFindings),
 		)
 		parts = append(parts, lipgloss.NewStyle().Width(width-2).Height(vulnRows).Border(lipgloss.RoundedBorder()).BorderForeground(vulnBorder).Padding(0, 1).Render(findings))
 	}
@@ -524,12 +550,7 @@ func (m Model) sidebarHeights() (statsHeight, vulnHeight, agentHeight int) {
 	statsRows := lipgloss.Height(lipgloss.NewStyle().Width(m.viewerContentWidth()).Render(m.statsView()))
 	statsHeight = min(15, statsRows+2)
 	if len(m.snapshot.Vulnerabilities) > 0 {
-		rows := 0
-		width := m.vulnerabilityListWidth()
-		for i := range m.snapshot.Vulnerabilities {
-			rows += len(m.vulnerabilityTitleLines(i, width))
-		}
-		vulnHeight = min(12, rows+2)
+		vulnHeight = min(12, len(m.vulnerabilityRows(m.vulnerabilityListWidth()))+2)
 	}
 	agentHeight = max(3, m.height-m.viewerHeight()-statsHeight-vulnHeight)
 	return
@@ -575,7 +596,11 @@ func (m Model) statsView() string {
 		if b.Len() > 0 {
 			b.WriteString("\n")
 		}
-		b.WriteString(lipgloss.NewStyle().Foreground(green).Render("ChatGPT subscription"))
+		label := m.snapshot.SubscriptionLabel
+		if label == "" {
+			label = "ChatGPT subscription"
+		}
+		b.WriteString(lipgloss.NewStyle().Foreground(green).Render(label))
 	}
 	total := numberValue(m.snapshot.Usage["total_tokens"])
 	if total > 0 {

strix/interface/tui/internal/app/vulnerabilities.go

@@ -1,6 +1,7 @@
 package app
 
 import (
+	"fmt"
 	"strings"
 
 	tea "github.com/charmbracelet/bubbletea"
@@ -13,115 +14,123 @@ var panelSeverityColors = map[string]lipgloss.Color{
 	"critical": render.SevCrit, "high": render.SevHigh, "medium": render.SevMed, "low": green, "info": blue,
 }
 
-func (m Model) vulnerabilitiesView(width, height int) string {
-	var lines []string
-	start := min(max(0, m.vulnOffset), max(0, len(m.snapshot.Vulnerabilities)-1))
-	for i := start; i < len(m.snapshot.Vulnerabilities) && len(lines) < height; i++ {
-		vuln := m.snapshot.Vulnerabilities[i]
-		severity := strings.ToLower(render.StringValue(vuln["severity"]))
-		color, ok := panelSeverityColors[severity]
-		if !ok {
-			color = blue // matches SEVERITY_COLORS.get(severity, "#3b82f6")
+// vulnerabilityRow is one rendered line of the findings list. The list scrolls by
+// row rather than by finding, so a long title does not make the panel jump a
+// whole entry at a time.
+type vulnerabilityRow struct {
+	index int    // the finding this line belongs to
+	text  string // one wrapped line of its title
+	first bool   // the line that carries the number and the severity dot
+}
+
+// vulnerabilityRows lays every finding out as the lines it will occupy.
+func (m Model) vulnerabilityRows(width int) []vulnerabilityRow {
+	// Wrapped lines sit under the title rather than under the severity dot.
+	body := max(1, width-2)
+	rows := make([]vulnerabilityRow, 0, len(m.snapshot.Vulnerabilities))
+	for i := range m.snapshot.Vulnerabilities {
+		for line, text := range strings.Split(wrapBlock(m.vulnerabilityTitle(i), body), "\n") {
+			rows = append(rows, vulnerabilityRow{index: i, text: text, first: line == 0})
 		}
-		marker := lipgloss.NewStyle().Foreground(color).Render("● ")
+	}
+	return rows
+}
+
+func (m Model) vulnerabilitiesView(width, height int) string {
+	rows := m.vulnerabilityRows(width)
+	start := min(max(0, m.vulnOffset), max(0, len(rows)-1))
+	end := min(len(rows), start+height)
+	lines := make([]string, 0, max(0, end-start))
+	for _, row := range rows[start:end] {
 		style := lipgloss.NewStyle().Foreground(textColor)
-		if i == m.selectedVuln {
+		if row.index == m.selectedVuln {
 			style = style.Bold(true).Foreground(white)
 		}
-		for row, titleLine := range m.vulnerabilityTitleLines(i, width) {
-			if len(lines) >= height {
-				break
+		prefix := "  "
+		if row.first {
+			severity := strings.ToLower(render.StringValue(m.snapshot.Vulnerabilities[row.index]["severity"]))
+			color, ok := panelSeverityColors[severity]
+			if !ok {
+				color = blue // matches SEVERITY_COLORS.get(severity, "#3b82f6")
 			}
-			prefix := "  "
-			if row == 0 {
-				prefix = marker
-			}
-			lines = append(lines, prefix+style.Render(titleLine))
+			prefix = lipgloss.NewStyle().Foreground(color).Render("● ")
 		}
+		lines = append(lines, prefix+style.Render(row.text))
 	}
 	return strings.Join(lines, "\n")
 }
 
+// vulnerabilityListWidth is the one width the findings list is laid out at, for
+// rendering and for every interaction alike. Wrapping a title at two widths a
+// column apart gives two different row counts, and then a click resolves to the
+// wrong finding and the scrollbar reports the wrong length.
+//
+// The panel is sidebarWidth-2 wide with a column of padding either side, and the
+// scrollbar takes one more. That last column is reserved whether or not the bar
+// is showing, so the layout does not shift as the list grows past the panel.
 func (m Model) vulnerabilityListWidth() int {
 	_, sidebarWidth, _, _ := m.layout()
-	return max(1, sidebarWidth-6)
+	return max(1, sidebarWidth-5)
 }
 
-func (m Model) vulnerabilityTitleLines(index, width int) []string {
+func (m Model) vulnerabilityTitle(index int) string {
 	title := render.StringValue(m.snapshot.Vulnerabilities[index]["title"])
 	if title == "" {
 		title = "Unknown Vulnerability"
 	}
-	return strings.Split(wrapBlock(title, max(1, width-2)), "\n")
+	return title
 }
 
+// vulnerabilityScrollRows reports the list length and position in rows, which is
+// what the scrollbar needs to move continuously.
 func (m Model) vulnerabilityScrollRows() (total, offset int) {
-	width := m.vulnerabilityListWidth()
-	for i := range m.snapshot.Vulnerabilities {
-		rows := len(m.vulnerabilityTitleLines(i, width))
-		total += rows
-		if i < m.vulnOffset {
-			offset += rows
-		}
-	}
-	return total, offset
-}
-
-func (m Model) vulnerabilityOffsetAtRow(targetRow int) int {
-	width := m.vulnerabilityListWidth()
-	row := 0
-	for i := range m.snapshot.Vulnerabilities {
-		row += len(m.vulnerabilityTitleLines(i, width))
-		if targetRow < row {
-			return i
-		}
-	}
-	return max(0, len(m.snapshot.Vulnerabilities)-1)
-}
-
-func (m Model) vulnerabilityVisibleEnd(start int) int {
-	height := m.vulnerabilityPageSize()
-	width := m.vulnerabilityListWidth()
-	rows := 0
-	end := min(max(0, start), len(m.snapshot.Vulnerabilities))
-	for end < len(m.snapshot.Vulnerabilities) {
-		itemRows := len(m.vulnerabilityTitleLines(end, width))
-		if rows > 0 && rows+itemRows > height {
-			break
-		}
-		rows += itemRows
-		end++
-		if rows >= height {
-			break
-		}
-	}
-	return end
+	return len(m.vulnerabilityRows(m.vulnerabilityListWidth())), m.vulnOffset
 }
 
+// vulnerabilityIndexAtRow maps a click on a visible row back to its finding.
 func (m Model) vulnerabilityIndexAtRow(row int) int {
-	width := m.vulnerabilityListWidth()
-	currentRow := 0
-	for i := m.vulnOffset; i < m.vulnerabilityVisibleEnd(m.vulnOffset); i++ {
-		currentRow += len(m.vulnerabilityTitleLines(i, width))
-		if row < currentRow {
-			return i
-		}
+	rows := m.vulnerabilityRows(m.vulnerabilityListWidth())
+	target := m.vulnOffset + row
+	if target < 0 || target >= len(rows) {
+		return -1
 	}
-	return -1
+	return rows[target].index
 }
 
+// ensureVulnerabilityVisible scrolls the least it can to bring the selected
+// finding into view, keeping the whole entry visible where it fits.
 func (m *Model) ensureVulnerabilityVisible() {
-	if len(m.snapshot.Vulnerabilities) == 0 {
+	rows := m.vulnerabilityRows(m.vulnerabilityListWidth())
+	if len(rows) == 0 {
 		m.vulnOffset = 0
 		return
 	}
-	if m.selectedVuln < m.vulnOffset {
-		m.vulnOffset = m.selectedVuln
+	height := m.vulnerabilityPageSize()
+	firstRow, lastRow := -1, -1
+	for row, entry := range rows {
+		if entry.index != m.selectedVuln {
+			continue
+		}
+		if firstRow < 0 {
+			firstRow = row
+		}
+		lastRow = row
 	}
-	for m.selectedVuln >= m.vulnerabilityVisibleEnd(m.vulnOffset) && m.vulnOffset < m.selectedVuln {
-		m.vulnOffset++
+	if firstRow < 0 {
+		m.vulnOffset = clampVulnerabilityOffset(m.vulnOffset, len(rows), height)
+		return
 	}
-	m.vulnOffset = min(m.vulnOffset, len(m.snapshot.Vulnerabilities)-1)
+	if firstRow < m.vulnOffset {
+		m.vulnOffset = firstRow
+	} else if lastRow >= m.vulnOffset+height {
+		// Prefer showing the whole entry, but never scroll its start out of view.
+		m.vulnOffset = min(firstRow, lastRow-height+1)
+	}
+	m.vulnOffset = clampVulnerabilityOffset(m.vulnOffset, len(rows), height)
+}
+
+func clampVulnerabilityOffset(offset, total, height int) int {
+	return min(max(0, offset), max(0, total-height))
 }
 
 func (m Model) vulnerabilityPageSize() int {
@@ -129,23 +138,52 @@ func (m Model) vulnerabilityPageSize() int {
 	return max(1, vulnHeight-2)
 }
 
+// vulnerabilityPageItems is how many findings a page step should move by: the
+// number of distinct entries currently on screen.
 func (m Model) vulnerabilityPageItems() int {
-	return max(1, m.vulnerabilityVisibleEnd(m.vulnOffset)-m.vulnOffset)
+	rows := m.vulnerabilityRows(m.vulnerabilityListWidth())
+	height := m.vulnerabilityPageSize()
+	start := min(max(0, m.vulnOffset), max(0, len(rows)))
+	end := min(len(rows), start+height)
+	seen := 0
+	previous := -1
+	for _, row := range rows[start:end] {
+		if row.index != previous {
+			seen++
+			previous = row.index
+		}
+	}
+	return max(1, seen)
 }
 
 func (m *Model) moveVulnerabilitySelection(delta int) {
 	m.selectedVuln = max(0, min(len(m.snapshot.Vulnerabilities)-1, m.selectedVuln+delta))
 }
 
+// keepVulnerabilitySelectionInWindow pulls the selection to the nearest finding
+// still on screen after the list has been scrolled directly.
 func (m *Model) keepVulnerabilitySelectionInWindow() {
-	if len(m.snapshot.Vulnerabilities) == 0 {
+	rows := m.vulnerabilityRows(m.vulnerabilityListWidth())
+	if len(rows) == 0 {
 		return
 	}
-	if m.selectedVuln < m.vulnOffset {
-		m.selectedVuln = m.vulnOffset
-	} else if end := m.vulnerabilityVisibleEnd(m.vulnOffset); m.selectedVuln >= end {
-		m.selectedVuln = max(m.vulnOffset, end-1)
+	height := m.vulnerabilityPageSize()
+	start := min(max(0, m.vulnOffset), max(0, len(rows)-1))
+	end := min(len(rows), start+height)
+	visible := rows[start:end]
+	if len(visible) == 0 {
+		return
 	}
+	for _, row := range visible {
+		if row.index == m.selectedVuln {
+			return
+		}
+	}
+	if m.selectedVuln < visible[0].index {
+		m.selectedVuln = visible[0].index
+		return
+	}
+	m.selectedVuln = visible[len(visible)-1].index
 }
 
 // statsView ports build_tui_stats_text + the version line appended in
@@ -182,6 +220,13 @@ func (m Model) confirmView(title string, width int, border, titleColor lipgloss.
 	return m.confirmDialog(title, "", width, border, titleColor, red, "Yes", "No")
 }
 
+// The mount prompt's buttons, named so the renderer and the click test cannot
+// drift apart.
+const (
+	mountConfirmLabel = "Mount"
+	mountCancelLabel  = "Skip"
+)
+
 // mountConfirmView asks before a target-less scan mounts the working directory.
 // It is a compact prompt docked in the corner of the live view: nothing is
 // prepared until it is answered, and the directory is a workspace rather than a
@@ -194,8 +239,8 @@ func (m Model) mountConfirmView() string {
 	}
 	title := render.Bold(amber).Render("△ Mount working directory?")
 	body := render.Col(white).Render(truncatePath(dir, width-4)) + "\n" +
-		render.Dim().Render("writable in the sandbox")
-	return m.cornerPrompt(title, body, width, "Confirm", "Cancel")
+		render.Dim().Render("writable in the sandbox · skip to run without it")
+	return m.cornerPrompt(title, body, width, mountConfirmLabel, mountCancelLabel)
 }
 
 // truncatePath keeps the tail of a path visible, which is the part that
@@ -373,25 +418,116 @@ func (m Model) vulnerabilityDetail() string {
 	inner := max(1, width-8)
 	// Button row: right-aligned Copy / Done above a top rule (#vuln_detail_buttons).
 	rule := lipgloss.NewStyle().Foreground(lipgloss.Color("#1a1a1a")).Render(strings.Repeat("─", max(1, inner)))
-	copyLabel := "Copy"
-	if m.vulnerabilityCopied {
-		copyLabel = "Copied!"
-	} else if m.vulnerabilityCopyError != "" {
-		copyLabel = "Copy failed"
+	focused := m.focusedReportButton()
+	var stepping, acting []string
+	for _, button := range m.reportButtons() {
+		rendered := m.reportButton(button, button == focused)
+		if button == reportPrev || button == reportNext {
+			stepping = append(stepping, rendered)
+			continue
+		}
+		acting = append(acting, rendered)
 	}
-	copyButton := lipgloss.NewStyle().Foreground(lipgloss.Color("#525252"))
-	doneButton := lipgloss.NewStyle().Foreground(mid)
-	if m.modalChoice == 0 {
-		copyButton = copyButton.Background(lipgloss.Color("#363636")).Foreground(brightWhite).Bold(true).Padding(0, 1)
-	} else {
-		doneButton = doneButton.Background(lipgloss.Color("#363636")).Foreground(brightWhite).Bold(true).Padding(0, 1)
+	// Stepping sits on the left behind the position, acting on the right.
+	right := strings.Join(acting, "  ")
+	left := strings.Join(stepping, "  ")
+	if total := len(m.snapshot.Vulnerabilities); total > 1 {
+		left = render.Dim().Render(fmt.Sprintf("%d/%d", m.selectedVuln+1, total)) + "  " + left
 	}
-	buttons := copyButton.Render(copyLabel) + "  " + doneButton.Render("Done")
-	buttonRow := rule + "\n" + lipgloss.NewStyle().Width(inner).Align(lipgloss.Right).Render(buttons)
+	room := max(0, inner-lipgloss.Width(right))
+	buttonRow := rule + "\n" +
+		lipgloss.NewStyle().Width(room).Render(truncate(left, room)) + right
 	content := m.vulnerabilityScrollView() + "\n" + buttonRow
 	return lipgloss.NewStyle().Width(width-2).Height(height-2).Border(lipgloss.NormalBorder()).BorderForeground(lipgloss.Color("#262626")).Background(lipgloss.Color("#0a0a0a")).Padding(2, 3).Render(content)
 }
 
+// showVulnerability moves the open report to another finding, keeping the list
+// behind it in step and starting the new report at its top.
+func (m *Model) showVulnerability(index int) {
+	if index < 0 || index >= len(m.snapshot.Vulnerabilities) || index == m.selectedVuln {
+		return
+	}
+	m.selectedVuln = index
+	m.ensureVulnerabilityVisible()
+	// The copy state belongs to the report that was on screen, not this one.
+	m.vulnerabilityCopied = false
+	m.vulnerabilityCopyError = ""
+	m.resizeVulnerabilityViewport()
+	m.vulnViewport.GotoTop()
+}
+
+// The report's buttons. Prev and Next carry their arrows so a click test cannot
+// be fooled by the same word appearing in the body of a finding.
+const (
+	reportPrev = "‹ Prev"
+	reportNext = "Next ›"
+	reportCopy = "Copy"
+	reportDone = "Done"
+)
+
+// reportButtons is the row as it stands, left to right. Stepping is offered only
+// in the directions that have a report.
+func (m Model) reportButtons() []string {
+	previous, next := m.vulnerabilityNeighbors()
+	buttons := make([]string, 0, 4)
+	if previous {
+		buttons = append(buttons, reportPrev)
+	}
+	if next {
+		buttons = append(buttons, reportNext)
+	}
+	return append(buttons, reportCopy, reportDone)
+}
+
+// focusedReportButton is the button Enter would press. It falls back to Done when
+// the focused one has gone, which happens when stepping to either end drops a
+// direction from the row.
+func (m Model) focusedReportButton() string {
+	for _, button := range m.reportButtons() {
+		if button == m.reportFocus {
+			return button
+		}
+	}
+	return reportDone
+}
+
+// stepReportFocus moves along the row, wrapping at its ends.
+func (m *Model) stepReportFocus(delta int) {
+	buttons := m.reportButtons()
+	current := 0
+	for i, button := range buttons {
+		if button == m.focusedReportButton() {
+			current = i
+		}
+	}
+	m.reportFocus = buttons[clampCycle(current+delta, len(buttons))]
+}
+
+// vulnerabilityNeighbors reports which way the open report can be stepped. The
+// ends are not wrapped: a report is one of an ordered list, and rolling from the
+// last to the first hides that you reached the end.
+func (m Model) vulnerabilityNeighbors() (previous, next bool) {
+	return m.selectedVuln > 0, m.selectedVuln < len(m.snapshot.Vulnerabilities)-1
+}
+
+// reportButton renders one button of the report row. Copy reports the outcome of
+// the last attempt in its own label.
+func (m Model) reportButton(label string, focused bool) string {
+	if label == reportCopy {
+		switch {
+		case m.vulnerabilityCopied:
+			label = "Copied!"
+		case m.vulnerabilityCopyError != "":
+			label = "Copy failed"
+		}
+	}
+	if focused {
+		return lipgloss.NewStyle().Background(lipgloss.Color("#363636")).
+			Foreground(brightWhite).Bold(true).Padding(0, 1).Render(label)
+	}
+	return lipgloss.NewStyle().Foreground(lipgloss.Color("#525252")).Render(label)
+}
+
 func (m *Model) startVulnerabilityCopy() tea.Cmd {
 	m.vulnerabilityCopied = false
 	m.vulnerabilityCopyError = ""

strix/interface/tui/internal/protocol/protocol.go

@@ -68,6 +68,7 @@ type Snapshot struct {
 	Vulnerabilities     []map[string]any `json:"-"`
 	Usage               map[string]any   `json:"usage"`
 	Subscription        bool             `json:"subscription"`
+	SubscriptionLabel   string           `json:"subscription_label"`
 	ViewerStatus        string           `json:"viewer_status"`
 	ViewerURL           *string          `json:"viewer_url"`
 	Error               *string          `json:"error"`

strix/interface/utils.py

@@ -262,9 +262,19 @@ def is_subscription_run(report_state: Any) -> bool:
     record = getattr(report_state, "run_record", None)
     if isinstance(record, dict) and record.get("auth_mode"):
         return record.get("auth_mode") == "subscription"
-    from strix.config import codex
+    from strix.config import opencode
 
-    return codex.auth_mode(load_settings().llm.model) == "subscription"
+    return opencode.auth_mode(load_settings().llm.model) == "subscription"
+
+
+def subscription_label() -> str:
+    """Display name of the subscription behind the configured model."""
+    from strix.config import opencode
+
+    model = load_settings().llm.model
+    if opencode.subscription_model(model):
+        return "OpenCode subscription"
+    return "ChatGPT subscription"
 
 
 def _int_stat(usage: dict[str, Any], key: str) -> int:
@@ -368,7 +378,7 @@ def build_live_stats_text(report_state: Any) -> Text:
     stats_text.append(str(model), style="white")
     if is_subscription_run(report_state):
         stats_text.append("  ·  ", style="dim white")
-        stats_text.append("ChatGPT subscription", style="#22c55e")
+        stats_text.append(subscription_label(), style="#22c55e")
     stats_text.append("\n")
 
     vuln_count = len(report_state.vulnerability_reports)
@@ -414,7 +424,7 @@ def build_tui_stats_text(report_state: Any) -> Text:
     subscription = is_subscription_run(report_state)
     if subscription:
         stats_text.append("\n")
-        stats_text.append("ChatGPT subscription", style="#22c55e")
+        stats_text.append(subscription_label(), style="#22c55e")
 
     usage = _llm_usage(report_state)
     if usage and _int_stat(usage, "total_tokens") > 0:

strix/interface/viewer/frontend/src/components/RunDetails.tsx

@@ -101,6 +101,11 @@ export function RunDetails({
   const totalTokens = num(usage.total_tokens);
   const cost = num(usage.cost);
   const subscription = str(raw.auth_mode) === "subscription";
+  const subscriptionProvider =
+    str(raw.subscription_provider) ??
+    (models.some((m) => m.toLowerCase().startsWith("opencode")) ? "opencode" : "chatgpt");
+  const subscriptionLabel =
+    subscriptionProvider === "opencode" ? "OpenCode subscription" : "ChatGPT subscription";
 
   const sub = (n: number, word: string) => (
     <span className="text-[#666]"> ({formatNumber(n)} {word})</span>
@@ -180,7 +185,7 @@ export function RunDetails({
                 <Field label="Provider">
                   <span className="inline-flex items-center gap-1.5">
                     <span className="rounded-full border border-[#22c55e]/40 bg-[#22c55e]/10 px-2 py-0.5 text-[11px] text-[#22c55e]">
-                      ChatGPT subscription
+                      {subscriptionLabel}
                     </span>
                   </span>
                 </Field>

strix/interface/viewer/static/index.html

@@ -6,7 +6,7 @@
     <meta name="viewport" content="width=device-width, initial-scale=1.0" />
     <meta name="color-scheme" content="dark" />
     <title>Strix Results</title>
-    <script type="module" crossorigin src="./assets/index-DBJ-RJqo.js"></script>
+    <script type="module" crossorigin src="./assets/index-1LIW3rcB.js"></script>
     <link rel="stylesheet" crossorigin href="./assets/index-DKbLYAbP.css">
   </head>
   <body>

strix/llm/compaction.py

@@ -294,6 +294,7 @@ async def _summarize(model: str, prompt: str, max_tokens: int) -> str | None:
         request_timeout=llm.timeout,
         prompt_cache=False,
         extra_headers=llm.extra_headers,
+        has_tools=False,
     ).resolve(ModelSettings(max_tokens=max_tokens))
     try:
         response = (

strix/llm/context_budget.py

@@ -20,6 +20,8 @@ logger = logging.getLogger(__name__)
 _STRIPPABLE_PREFIXES = (
     "openai/",
     "chatgpt/",
+    "opencode-go/",
+    "opencode/",
     "litellm/",
     "any-llm/",
     "ollama/",
@@ -48,7 +50,11 @@ def _model_info(model: str) -> dict[str, int]:
     lookup_key = _lookup_key(model)
     # Provider-qualified ChatGPT lookups may start a synchronous device-login
     # poll. LiteLLM keys the metadata by the underlying model slug.
-    candidates = (lookup_key,) if model.startswith("chatgpt/") else (model, lookup_key)
+    candidates = (
+        (lookup_key,)
+        if model.startswith(("chatgpt/", "opencode/", "opencode-go/"))
+        else (model, lookup_key)
+    )
     for candidate in candidates:
         info = _safe_get_model_info(candidate)
         if info is not None:

strix/report/dedupe.py

@@ -62,6 +62,7 @@ def _dedupe_model_settings(
         # must never receive the main endpoint's credentials. A dedicated model
         # gets its own DEDUPE_LLM_EXTRA_HEADERS instead.
         extra_headers=dedupe.extra_headers if dedupe.model else llm.extra_headers,
+        has_tools=False,
     )
     extra = _dedupe_extra_args(dedupe)
     if extra:

strix/report/pricing.py

@@ -0,0 +1,54 @@
+"""LiteLLM model-name resolution for local cost estimates."""
+
+from __future__ import annotations
+
+from functools import lru_cache
+from typing import Any, cast
+
+
+@lru_cache(maxsize=512)
+def resolve_litellm_model(model: str) -> str | None:
+    """Return a provider-qualified model name that LiteLLM can price."""
+    try:
+        import litellm
+
+        normalized = model.strip()
+        for prefix in ("litellm/", "any-llm/", "openai/"):
+            if normalized.startswith(prefix):
+                normalized = normalized.removeprefix(prefix)
+                break
+        if not normalized:
+            return None
+
+        model_cost = cast(
+            "dict[str, dict[str, Any]]",
+            getattr(litellm, "model_cost"),  # noqa: B009
+        )
+        bare_entry = model_cost.get(normalized)
+        if "/" not in normalized and isinstance(bare_entry, dict):
+            provider = bare_entry.get("litellm_provider")
+            if isinstance(provider, str) and provider:
+                return f"{provider}/{normalized}"
+        if "/" in normalized and isinstance(bare_entry, dict):
+            return normalized
+
+        names = [normalized]
+        if "/" in normalized:
+            names.append(normalized.rsplit("/", 1)[-1])
+        for name in names:
+            matches = sorted(key for key in model_cost if key.endswith(f"/{name}"))
+            if not matches:
+                continue
+            prices = {
+                (
+                    model_cost[key].get("input_cost_per_token"),
+                    model_cost[key].get("output_cost_per_token"),
+                )
+                for key in matches
+                if isinstance(model_cost.get(key), dict)
+            }
+            if len(matches) == 1 or len(prices) == 1:
+                return matches[0]
+        return None  # noqa: TRY300
+    except Exception:  # noqa: BLE001
+        return None

strix/report/state.py

@@ -11,9 +11,10 @@ from uuid import uuid4
 
 from agents.usage import Usage
 
-from strix.config import codex
+from strix.config import opencode
 from strix.config.loader import load_settings
 from strix.core.paths import run_dir_for
+from strix.report.pricing import resolve_litellm_model
 from strix.report.sarif import write_sarif
 from strix.report.usage import LLMUsageLedger
 from strix.report.writer import (
@@ -122,7 +123,7 @@ class ReportState:
         self.scan_results: dict[str, Any] | None = None
         self.scan_config: dict[str, Any] | None = None
         self._llm_usage = LLMUsageLedger()
-        auth_mode = codex.auth_mode(load_settings().llm.model)
+        auth_mode = opencode.auth_mode(load_settings().llm.model)
         self._llm_usage.zero_cost = auth_mode == "subscription"
         self.run_record: dict[str, Any] = {
             "run_id": self.run_id,
@@ -131,6 +132,7 @@ class ReportState:
             "end_time": None,
             "status": "running",
             "auth_mode": auth_mode,
+            "subscription_provider": opencode.subscription_provider(load_settings().llm.model),
             "targets_info": [],
             "llm_usage": self._build_llm_usage_record(),
         }
@@ -696,10 +698,13 @@ def _estimate_response_cost(kwargs: Any, completion_response: Any) -> float | No
         candidates.append(model.rsplit("/", 1)[-1])
 
     for candidate in candidates:
+        resolved = resolve_litellm_model(candidate)
+        if not resolved:
+            continue
         try:
             value = completion_cost(
-                completion_response={"model": candidate, "usage": usage_payload},
-                model=candidate,
+                completion_response={"model": resolved, "usage": usage_payload},
+                model=resolved,
             )
         except Exception:  # nosec B112  # noqa: BLE001, S112
             continue

strix/report/usage.py

@@ -7,6 +7,8 @@ from typing import Any
 
 from agents.usage import Usage, deserialize_usage, serialize_usage
 
+from strix.report.pricing import resolve_litellm_model
+
 
 logger = logging.getLogger(__name__)
 
@@ -18,7 +20,9 @@ class LLMUsageLedger:
         self._total_usage = Usage()
         self._agent_usage: dict[str, Usage] = {}
         self._agent_metadata: dict[str, dict[str, str]] = {}
-        self._total_cost = 0.0
+        self._observed_cost = 0.0
+        self._estimated_cost = 0.0
+        self._has_observed_cost = False
         # When True, tokens are still tracked but cost stays $0 — the run is on a
         # model subscription, so there is no metered per-token charge to report.
         self.zero_cost = False
@@ -44,10 +48,10 @@ class LLMUsageLedger:
         if model:
             metadata["model"] = model
 
-        if not self.zero_cost and not _is_litellm_routed(model):
+        if not self.zero_cost:
             estimated = _estimate_litellm_cost(usage, model)
             if estimated:
-                self._total_cost += estimated
+                self._estimated_cost += estimated
 
         return True
 
@@ -55,15 +59,18 @@ class LLMUsageLedger:
         if self.zero_cost:
             return
         if isinstance(cost, int | float) and cost > 0:
-            self._total_cost += float(cost)
+            self._observed_cost += float(cost)
+            self._has_observed_cost = True
 
     @property
     def total_cost(self) -> float:
-        return _round_cost(self._total_cost)
+        if self.zero_cost:
+            return 0.0
+        return _round_cost(self._observed_cost if self._has_observed_cost else self._estimated_cost)
 
     def to_record(self) -> dict[str, Any]:
         record = serialize_usage(self._total_usage)
-        record["cost"] = _round_cost(self._total_cost)
+        record["cost"] = self.total_cost
         record["agents"] = []
 
         agent_tokens = {aid: _resolve_total_tokens(u) for aid, u in self._agent_usage.items()}
@@ -72,7 +79,7 @@ class LLMUsageLedger:
             usage = self._agent_usage[agent_id]
             metadata = self._agent_metadata.get(agent_id, {})
             agent_cost = (
-                self._total_cost * (agent_tokens[agent_id] / total_tokens) if total_tokens else 0.0
+                self.total_cost * (agent_tokens[agent_id] / total_tokens) if total_tokens else 0.0
             )
 
             agent_record = serialize_usage(usage)
@@ -92,7 +99,9 @@ class LLMUsageLedger:
         self._total_usage = Usage()
         self._agent_usage.clear()
         self._agent_metadata.clear()
-        self._total_cost = 0.0
+        self._observed_cost = 0.0
+        self._estimated_cost = 0.0
+        self._has_observed_cost = False
 
         if not isinstance(raw_usage, dict):
             return
@@ -103,7 +112,9 @@ class LLMUsageLedger:
             logger.exception("Failed to hydrate aggregate llm_usage from run.json")
             self._total_usage = Usage()
 
-        self._total_cost = _float_or_zero(raw_usage.get("cost"))
+        persisted_cost = _float_or_zero(raw_usage.get("cost"))
+        self._observed_cost = persisted_cost
+        self._estimated_cost = persisted_cost
 
         for raw_agent in raw_usage.get("agents") or []:
             if not isinstance(raw_agent, dict):
@@ -136,15 +147,6 @@ def _resolve_total_tokens(usage: Usage) -> int:
     return prompt + completion
 
 
-def _is_litellm_routed(model: str | None) -> bool:
-    if not model:
-        return False
-    name = model.strip().lower()
-    if "/" not in name:
-        return False
-    return not name.startswith("openai/")
-
-
 def _usage_has_activity(usage: Usage) -> bool:
     return bool(
         usage.requests
@@ -201,24 +203,23 @@ def _estimate_litellm_entry_cost(entry: Any, model: str) -> float | None:
 
     candidates = [model]
     if "/" in model:
-        candidates.append(model.split("/", 1)[-1])
+        candidates.append(model.rsplit("/", 1)[-1])
 
-    cost: Any = None
     for candidate in candidates:
+        resolved = resolve_litellm_model(candidate)
+        if not resolved:
+            continue
         try:
             cost = completion_cost(
-                completion_response={"model": candidate, "usage": usage_payload},
-                model=model,
+                completion_response={"model": resolved, "usage": usage_payload},
+                model=resolved,
             )
-            break
         except Exception:  # nosec B112  # noqa: BLE001, S112
             continue
-
-    if cost is None:
-        logger.debug("LiteLLM cost estimate unavailable for model %s", model)
-        return None
-
-    return cost if isinstance(cost, int | float) and cost >= 0 else None
+        if cost > 0:
+            return float(cost)
+    logger.debug("LiteLLM cost estimate unavailable for model %s", model)
+    return None
 
 
 def _litellm_model_name(model: str | None) -> str | None:

strix/skills/tooling/agent_browser.md

@@ -58,6 +58,26 @@ agent-browser screenshot
 The browser stays running across commands so these feel like a single
 session. Use `agent-browser close` (or `close --all`) when you're done.
 
+The default session is **shared with every other agent in the sandbox** — if
+another agent navigates it, your page and your refs are gone from under you. So
+claim your own by passing `--session <your-agent-name>` on **every** command:
+
+```bash
+agent-browser --session recon-3 open https://example.com
+agent-browser --session recon-3 snapshot -i
+agent-browser --session recon-3 close        # when done with the target
+```
+
+The examples in the rest of this skill omit `--session` to keep them readable;
+keep passing yours. Each session is a separate Chromium (~340 MB) on a shared
+box, so hold one rather than several, and close it when you're finished.
+
+A browser left idle for 3 minutes is reclaimed automatically to free memory for
+the other agents; the next command relaunches it, but the page, tabs, refs and
+cookies are gone. If you're authenticated and about to go do something else for a
+while, save the state first (see
+[Persist session across runs](#persist-session-across-runs)).
+
 ## Reading a page
 
 ```bash
@@ -307,6 +327,16 @@ agent-browser --session b fill @e1 "bob@test.com"
 `AGENT_BROWSER_SESSION=myapp` sets the default session for the current
 shell.
 
+Use a session named after yourself for your own work — that's what keeps a
+concurrent agent from navigating the page out from under you. Every session is a
+separate Chromium though, so hold one at a time rather than a collection, and
+close each one when its flow is finished:
+
+```bash
+agent-browser --session a close
+agent-browser --session b close
+```
+
 ### Mock network requests
 
 ```bash
@@ -368,8 +398,11 @@ agent-browser dialog dismiss          # cancel
 ## Readiness & recovery
 
 The first `agent-browser open` in a session launches the headless-Chrome
-daemon; later commands reuse it. Distinguish the two failure modes and react
-differently — do **not** blindly re-run the same failing command in a loop:
+daemon; later commands reuse it. A daemon left idle for 3 minutes shuts itself
+down to free memory for the other agents, so an `open` after a long gap is a
+fresh browser rather than a resumed one — expect to re-navigate, and re-`state
+load` if you were logged in. Distinguish the failure modes and react differently
+— do **not** blindly re-run the same failing command in a loop:
 
 - **Daemon / connection failure** (`Failed to connect`, `connection refused`,
   socket missing, `browser not running`): the daemon isn't up or has died. Run

strix/tools/respond/tool.py

@@ -15,7 +15,7 @@ def _ctx(ctx: RunContextWrapper) -> dict[str, Any]:
 
 
 @function_tool
-async def respond_to_user(ctx: RunContextWrapper, message: str) -> str:
+async def respond_to_user(ctx: RunContextWrapper, message: str = "") -> str:
     """Answer the user and hand control back to them.
 
     This is the ONLY way to yield to the user. Delivering the message and
@@ -45,6 +45,10 @@ async def respond_to_user(ctx: RunContextWrapper, message: str) -> str:
             have followed the tool calls that led here. Lead with the
             answer or the decision you need, and if you are blocked, say
             exactly what you need from them.
+
+            Omit it when you have just said your piece as plain text and
+            only need to wait: that text has already reached them, and
+            repeating it makes them read the same answer twice.
     """
     inner = _ctx(ctx)
     coordinator = coordinator_from_context(inner)

strix/tools/todo/tools.py

@@ -110,12 +110,19 @@ def _get_agent_todos(agent_id: str) -> dict[str, dict[str, Any]]:
 
 
 def _normalize_priority(priority: str | None, default: str = "normal") -> str:
-    candidate = (priority or default or "normal").lower()
+    candidate = str(priority or default or "normal").strip().lower()
     if candidate not in VALID_PRIORITIES:
         raise ValueError(f"Invalid priority. Must be one of: {', '.join(VALID_PRIORITIES)}")
     return candidate
 
 
+def _coerce_priority(priority: str | None, default: str = "normal") -> str:
+    try:
+        return _normalize_priority(priority, default)
+    except ValueError:
+        return default
+
+
 def _sorted_todos(agent_id: str) -> list[dict[str, Any]]:
     todos_list = [
         {**todo, "todo_id": todo_id} for todo_id, todo in _get_agent_todos(agent_id).items()
@@ -285,11 +292,16 @@ async def create_todo(ctx: RunContextWrapper, todos: str) -> str:
             - ``description`` (str, optional): extra context or
               acceptance criteria.
             - ``priority`` (str, optional): one of ``"low"`` /
-              ``"normal"`` / ``"high"`` / ``"critical"``. Defaults to
-              ``"normal"``.
+              ``"normal"`` / ``"high"`` / ``"critical"``. Anything else,
+              including omitting it, falls back to ``"normal"`` rather
+              than failing.
 
             Example: ``[{"title": "Probe /admin", "priority": "high"},
             {"title": "Check JWT alg=none"}]``.
+
+        A title already on the list, or repeated within this call, is
+        skipped rather than duplicated; skipped titles come back under
+        ``skipped``.
     """
     agent_id = _agent_id_from(ctx)
     try:
@@ -302,13 +314,21 @@ async def create_todo(ctx: RunContextWrapper, todos: str) -> str:
             )
 
         agent_todos = _get_agent_todos(agent_id)
+        seen = {todo["title"].strip().lower() for todo in agent_todos.values()}
         created: list[dict[str, Any]] = []
+        skipped: list[dict[str, str]] = []
         for task in tasks:
-            task_priority = _normalize_priority(task.get("priority"))
+            title = task["title"]
+            key = title.lower()
+            if key in seen:
+                skipped.append({"title": title, "reason": "duplicate title"})
+                continue
+            seen.add(key)
+            task_priority = _coerce_priority(task.get("priority"))
             todo_id = str(uuid.uuid4())[:6]
             timestamp = datetime.now(UTC).isoformat()
             agent_todos[todo_id] = {
-                "title": task["title"],
+                "title": title,
                 "description": task.get("description"),
                 "priority": task_priority,
                 "status": "pending",
@@ -316,7 +336,7 @@ async def create_todo(ctx: RunContextWrapper, todos: str) -> str:
                 "updated_at": timestamp,
                 "completed_at": None,
             }
-            created.append({"todo_id": todo_id, "title": task["title"], "priority": task_priority})
+            created.append({"todo_id": todo_id, "title": title, "priority": task_priority})
     except (ValueError, TypeError) as e:
         return json.dumps(
             {"success": False, "error": f"Failed to create todo: {e}"},
@@ -330,6 +350,7 @@ async def create_todo(ctx: RunContextWrapper, todos: str) -> str:
             "success": True,
             "created": created,
             "created_count": len(created),
+            "skipped": skipped,
             "todos": _sorted_todos(agent_id),
             "total_count": len(_get_agent_todos(agent_id)),
         },

tests/test_agent_factory_tool_arguments.py

@@ -70,7 +70,6 @@ async def test_encoded_list_is_decoded_for_an_array_parameter(schema: dict[str,
         "auth",
         "Endpoint /admin leaks user data, and session tokens never expire",
         '"auth"',
-        "",
     ],
 )
 async def test_free_form_strings_are_never_split_into_an_array(value: str) -> None:
@@ -79,6 +78,29 @@ async def test_free_form_strings_are_never_split_into_an_array(value: str) -> No
     assert parsed["tags"] == value
 
 
+@pytest.mark.asyncio
+@pytest.mark.parametrize("schema", [_ARRAY, _NULLABLE_ARRAY])
+@pytest.mark.parametrize("value", ["", "   "])
+async def test_empty_string_becomes_an_empty_array(schema: dict[str, Any], value: str) -> None:
+    parsed = await _roundtrip(schema, {"tags": value})
+
+    assert parsed["tags"] == []
+
+
+@pytest.mark.asyncio
+async def test_empty_string_becomes_an_empty_object() -> None:
+    parsed = await _roundtrip(_OBJECT, {"modifications": ""})
+
+    assert parsed["modifications"] == {}
+
+
+@pytest.mark.asyncio
+async def test_empty_string_for_a_string_parameter_is_untouched() -> None:
+    parsed = await _roundtrip(_STRING, {"todos": ""})
+
+    assert parsed["todos"] == ""
+
+
 @pytest.mark.asyncio
 async def test_encoded_mapping_is_decoded_for_an_object_parameter() -> None:
     parsed = await _roundtrip(_OBJECT, {"modifications": '{"method": "POST"}'})

tests/test_auth_cli.py

@@ -2,11 +2,12 @@
 
 from __future__ import annotations
 
+import time
 from typing import TYPE_CHECKING, Any
 
 import pytest
 
-from strix.config import codex
+from strix.config import codex, opencode
 from strix.interface import auth_cli
 
 
@@ -104,3 +105,60 @@ def test_login_accepts_provider_aliases(provider: str, monkeypatch: pytest.Monke
 
     assert auth_cli.run_auth(["login", provider]) == 0
     assert reached["flow"] is True
+
+
+@pytest.mark.parametrize("provider", ["opencode", "OpenCode", "opencode-go", "zen"])
+def test_login_accepts_opencode_aliases(provider: str, monkeypatch: pytest.MonkeyPatch) -> None:
+    reached = {"login": False}
+
+    def _fake_login(_console: Any) -> int:
+        reached["login"] = True
+        return 0
+
+    monkeypatch.setattr(auth_cli, "_login_opencode", _fake_login)
+    assert auth_cli.run_auth(["login", provider]) == 0
+    assert reached["login"] is True
+
+
+def test_login_opencode_validates_and_saves(monkeypatch: pytest.MonkeyPatch) -> None:
+    saved: dict[str, str] = {}
+    monkeypatch.setattr("rich.console.Console.input", lambda _self, *_a, **_k: "  sk-oc-test  ")
+    monkeypatch.setattr(opencode, "validate_api_key", lambda key: saved.setdefault("checked", key))
+    monkeypatch.setattr(opencode, "save_api_key", lambda key: saved.setdefault("key", key))
+
+    assert auth_cli.run_auth(["login", "opencode"]) == 0
+    assert saved == {"checked": "sk-oc-test", "key": "sk-oc-test"}
+
+
+def test_login_opencode_rejects_bad_key(monkeypatch: pytest.MonkeyPatch) -> None:
+    monkeypatch.setattr("rich.console.Console.input", lambda _self, *_a, **_k: "bad")
+
+    def _reject(_key: str) -> None:
+        raise opencode.OpencodeAuthError("invalid_key")
+
+    monkeypatch.setattr(opencode, "validate_api_key", _reject)
+    assert auth_cli.run_auth(["login", "opencode"]) == 1
+    assert opencode.is_authenticated() is False
+
+
+def test_logout_provider_scoped() -> None:
+    codex.save_record(
+        {
+            "type": "oauth",
+            "provider": "codex",
+            "access": "a",
+            "refresh": "r",
+            "account_id": "acct",
+            "expires_at": time.time() + 3600,
+        }
+    )
+    opencode.save_api_key("sk-oc-test")
+
+    assert auth_cli.run_auth(["logout", "opencode"]) == 0
+    assert opencode.is_authenticated() is False
+    assert codex.is_authenticated() is True
+
+    assert auth_cli.run_auth(["logout"]) == 0
+    assert codex.is_authenticated() is False
+
+    assert auth_cli.run_auth(["logout", "bogus"]) == 2

tests/test_cost_tracking.py

@@ -143,7 +143,7 @@ def test_cost_callback_estimates_cost_with_bare_model_fallback() -> None:
     }
 
     def fake_completion_cost(**kwargs: object) -> float:
-        if kwargs["model"] == "gpt-4o-mini":
+        if kwargs["model"] == "openai/gpt-4o-mini":
             return 0.025
         raise ValueError(kwargs["model"])
 

tests/test_execution.py

@@ -1228,3 +1228,40 @@ async def test_wait_kind_survives_a_snapshot_round_trip() -> None:
     assert restored.wait_kinds["root"] == "user"
     assert restored.idle_resume_counts["root"] == 1
     assert await execution._plain_waiting_timeout(restored, "root") is None
+
+
+@pytest.mark.asyncio
+async def test_interactive_nudge_offers_waiting_without_repeating() -> None:
+    """The nudge is the instruction an agent reads when it is stranded here.
+
+    It is where the option to wait on what was already said has to be, not only
+    in the system prompt: an agent that ended a turn on plain text reasons off
+    this text, and without the clause it restates its answer to reach a tool
+    call, so the user reads it twice.
+
+    The clause holds whatever the turn did, because the agent is the one who
+    knows whether it spoke — this fires for a turn that produced no text at all.
+    """
+    items = await execution._append_tool_required_message(
+        session=None,
+        context={"parent_id": None},
+        attempt=1,
+        limit=3,
+        interactive=True,
+    )
+
+    assert "with no message if you have already said it" in items[0]["content"]
+
+
+@pytest.mark.asyncio
+async def test_autonomous_nudge_does_not_offer_the_user() -> None:
+    """There is nobody attached to an autonomous run to wait for."""
+    items = await execution._append_tool_required_message(
+        session=None,
+        context={"parent_id": None},
+        attempt=1,
+        limit=3,
+        interactive=False,
+    )
+
+    assert "respond_to_user" not in items[0]["content"]

tests/test_inputs.py

@@ -111,6 +111,13 @@ def test_make_model_settings_no_prompt_cache_for_non_claude(model_name: str) ->
     assert make_model_settings(None, model_name=model_name).extra_args is None
 
 
+@pytest.mark.parametrize("model_name", ["opencode/claude-sonnet-5", "opencode-go/claude-sonnet-5"])
+def test_no_prompt_cache_for_opencode_claude(model_name: str) -> None:
+    # The OpenCode route uses the raw OpenAI SDK, whose create() rejects the
+    # LiteLLM-only cache_control_injection_points argument.
+    assert _cache_points(model_name) is None
+
+
 def test_no_prompt_cache_for_unmapped_bedrock_claude_model(monkeypatch: Any) -> None:
     # A Bedrock Claude model LiteLLM hasn't mapped must run uncached, not crash.
     unmapped = "bedrock/global.anthropic.claude-brand-new-9"
@@ -299,6 +306,16 @@ def test_make_model_settings_forces_required_for_anyllm_routed_openai_model() ->
     assert settings.tool_choice == "required"
 
 
+def test_make_model_settings_disables_parallel_tool_calls_by_default() -> None:
+    assert make_model_settings("none", model_name="gpt-4o").parallel_tool_calls is False
+
+
+def test_make_model_settings_omits_parallel_tool_calls_without_tools() -> None:
+    settings = make_model_settings("none", model_name="gpt-4o", has_tools=False)
+
+    assert settings.parallel_tool_calls is None
+
+
 def test_make_model_settings_sets_request_timeout() -> None:
     settings = make_model_settings(
         "none",
@@ -351,3 +368,32 @@ def test_make_model_settings_timeout_survives_reasoning_resolve() -> None:
 
     assert settings.extra_args is not None
     assert settings.extra_args["timeout"] == 120.0
+
+
+def test_openrouter_attribution_rides_on_the_request_headers() -> None:
+    # litellm.headers is ignored once a request carries any header of its own,
+    # so the attribution must be part of the per-request headers.
+    headers = make_model_settings(
+        None, model_name="openrouter/anthropic/claude-sonnet-4-5"
+    ).extra_headers
+    assert headers == {
+        "HTTP-Referer": "https://strix.ai",
+        "X-Title": "Strix",
+        "X-OpenRouter-Categories": "cli-agent",
+    }
+
+
+def test_openrouter_attribution_absent_for_other_providers() -> None:
+    assert make_model_settings(None, model_name="anthropic/claude-sonnet-4-5").extra_headers is None
+
+
+def test_user_headers_override_openrouter_attribution() -> None:
+    headers = make_model_settings(
+        None,
+        model_name="openrouter/anthropic/claude-sonnet-4-5",
+        extra_headers={"X-Title": "Custom", "X-Tenant": "acme"},
+    ).extra_headers
+    assert headers is not None
+    assert headers["X-Title"] == "Custom"
+    assert headers["X-Tenant"] == "acme"
+    assert headers["HTTP-Referer"] == "https://strix.ai"

tests/test_models.py

@@ -66,6 +66,11 @@ def test_recommended_models_are_matched_case_insensitively() -> None:
         "moonshot/kimi-k2.6",
         "kimi-k2.7-code",
         "moonshot/kimi-k3",
+        "opencode/gpt-5.4",
+        "opencode/claude-sonnet-5",
+        "opencode-go/kimi-k3",
+        "opencode-go/deepseek-v4-flash",
+        "opencode-go/qwen3.8-max",
     ],
 )
 def test_frontier_model_families_are_accepted(model_name: str) -> None:

tests/test_opencode_auth.py

@@ -0,0 +1,133 @@
+"""Tests for OpenCode (Zen/Go) subscription auth: prefix parsing and key store."""
+
+from __future__ import annotations
+
+from typing import TYPE_CHECKING
+from unittest import mock
+
+import pytest
+import requests
+
+from strix.config import codex, opencode
+
+
+if TYPE_CHECKING:
+    from pathlib import Path
+
+
+@pytest.fixture(autouse=True)
+def _tmp_store(tmp_path: Path, monkeypatch: pytest.MonkeyPatch) -> Path:
+    path = tmp_path / "home" / ".strix" / "subscription-auth.json"
+    monkeypatch.setattr(codex, "AUTH_PATH", path)
+    return path
+
+
+@pytest.mark.parametrize(
+    ("model", "slug", "base_url", "uses_responses"),
+    [
+        ("opencode/claude-sonnet-5", "claude-sonnet-5", opencode.ZEN_BASE_URL, False),
+        ("opencode/gpt-5.4", "gpt-5.4", opencode.ZEN_BASE_URL, True),
+        ("opencode/grok-4.5", "grok-4.5", opencode.ZEN_BASE_URL, True),
+        ("OpenCode/Kimi-K3", "Kimi-K3", opencode.ZEN_BASE_URL, False),
+        ("opencode-go/kimi-k3", "kimi-k3", opencode.GO_BASE_URL, False),
+        ("opencode-go/gpt-5.6-luna", "gpt-5.6-luna", opencode.GO_BASE_URL, True),
+        ("opencode-go/grok-4.5", "grok-4.5", opencode.GO_BASE_URL, False),
+    ],
+)
+def test_subscription_model_parses_prefixes(
+    model: str, slug: str, base_url: str, uses_responses: bool
+) -> None:
+    parsed = opencode.subscription_model(model)
+    assert parsed is not None
+    assert parsed.slug == slug
+    assert parsed.base_url == base_url
+    assert parsed.uses_responses == uses_responses
+
+
+@pytest.mark.parametrize(
+    "model",
+    ["openai/gpt-5.4", "chatgpt/gpt-5.4", "opencode/", "opencode-go/", "opencode", "", None],
+)
+def test_subscription_model_rejects_non_opencode(model: str | None) -> None:
+    assert opencode.subscription_model(model) is None
+
+
+def test_store_roundtrip_and_logout() -> None:
+    assert opencode.read_record() is None
+    assert opencode.is_authenticated() is False
+
+    opencode.save_api_key("sk-oc-test")
+    record = opencode.read_record()
+    assert record is not None
+    assert record["key"] == "sk-oc-test"
+    assert opencode.is_authenticated() is True
+    assert opencode.get_api_key() == "sk-oc-test"
+
+    opencode.logout()
+    assert opencode.read_record() is None
+    opencode.logout()  # no-op when already gone
+
+
+def test_store_coexists_with_chatgpt_record() -> None:
+    codex.save_record({"type": "oauth", "access": "a", "refresh": "r", "account_id": "acct"})
+    opencode.save_api_key("sk-oc-test")
+
+    assert codex.read_record() is not None
+    assert opencode.get_api_key() == "sk-oc-test"
+
+    opencode.logout()
+    assert codex.read_record() is not None
+    assert opencode.read_record() is None
+
+
+def test_get_api_key_raises_when_not_signed_in() -> None:
+    with pytest.raises(opencode.OpencodeAuthError) as exc:
+        opencode.get_api_key()
+    assert exc.value.code == "not_authenticated"
+
+
+def test_auth_mode_covers_both_subscriptions() -> None:
+    assert opencode.auth_mode("opencode/claude-sonnet-5") == "subscription"
+    assert opencode.auth_mode("opencode-go/kimi-k3") == "subscription"
+    assert opencode.auth_mode("chatgpt/gpt-5.4") == "subscription"
+    assert opencode.auth_mode("openai/gpt-5.4") == "api_key"
+    assert opencode.auth_mode(None) == "api_key"
+
+
+def test_subscription_provider() -> None:
+    assert opencode.subscription_provider("opencode/claude-sonnet-5") == "opencode"
+    assert opencode.subscription_provider("opencode-go/kimi-k3") == "opencode"
+    assert opencode.subscription_provider("chatgpt/gpt-5.4") == "chatgpt"
+    assert opencode.subscription_provider("openai/gpt-5.4") is None
+    assert opencode.subscription_provider(None) is None
+
+
+def _response(status_code: int, text: str = "") -> mock.MagicMock:
+    response = mock.MagicMock()
+    response.status_code = status_code
+    response.text = text
+    return response
+
+
+def test_validate_api_key_accepts_ok() -> None:
+    with mock.patch.object(requests, "get", return_value=_response(200)) as get:
+        opencode.validate_api_key("sk-oc-test")
+    assert get.call_args.kwargs["headers"]["Authorization"] == "Bearer sk-oc-test"
+
+
+def test_validate_api_key_rejects_unauthorized() -> None:
+    with (
+        mock.patch.object(requests, "get", return_value=_response(401)),
+        pytest.raises(opencode.OpencodeAuthError) as exc,
+    ):
+        opencode.validate_api_key("bad-key")
+    assert exc.value.code == "invalid_key"
+
+
+def test_validate_api_key_maps_network_errors() -> None:
+    with (
+        mock.patch.object(requests, "get", side_effect=requests.ConnectionError("boom")),
+        pytest.raises(opencode.OpencodeAuthError) as exc,
+    ):
+        opencode.validate_api_key("sk-oc-test")
+    assert exc.value.code == "unavailable"

tests/test_pricing.py

@@ -0,0 +1,120 @@
+from __future__ import annotations
+
+from unittest.mock import patch
+
+import litellm
+from agents.usage import Usage
+
+from strix.report.pricing import resolve_litellm_model
+from strix.report.usage import LLMUsageLedger
+
+
+def test_resolves_common_bare_model_names() -> None:
+    resolve_litellm_model.cache_clear()
+    assert resolve_litellm_model("deepseek-v4-flash") == "deepseek/deepseek-v4-flash"
+    assert resolve_litellm_model("openai/deepseek-v4-flash") == "deepseek/deepseek-v4-flash"
+    assert resolve_litellm_model("grok-4.5") == "xai/grok-4.5"
+    assert resolve_litellm_model("MiniMax-M3") == "minimax/MiniMax-M3"
+
+
+def test_resolver_returns_none_for_unresolvable_model() -> None:
+    resolve_litellm_model.cache_clear()
+    assert resolve_litellm_model("provider/not-a-real-model") is None
+
+
+def test_ledger_uses_estimate_when_routed_provider_reports_no_cost() -> None:
+    usage = Usage()
+    usage.requests = 1
+    usage.input_tokens = 1000
+    usage.output_tokens = 200
+    usage.total_tokens = 1200
+    ledger = LLMUsageLedger()
+
+    with patch("litellm.completion_cost", return_value=0.42):
+        ledger.record(agent_id="a", usage=usage, model="openai/deepseek-v4-flash")
+
+    assert ledger.total_cost == 0.42
+
+
+def test_ledger_prefers_observed_cost_over_estimate() -> None:
+    usage = Usage()
+    usage.requests = 1
+    usage.input_tokens = 1000
+    usage.output_tokens = 200
+    usage.total_tokens = 1200
+    ledger = LLMUsageLedger()
+
+    with patch("litellm.completion_cost", return_value=0.42):
+        ledger.record(agent_id="a", usage=usage, model="openai/deepseek-v4-flash")
+    ledger.record_observed_cost(0.17)
+
+    assert ledger.total_cost == 0.17
+
+
+def test_hydrated_estimate_continues_accumulating_new_estimates() -> None:
+    usage = Usage()
+    usage.requests = 1
+    usage.input_tokens = 1000
+    usage.output_tokens = 200
+    usage.total_tokens = 1200
+    ledger = LLMUsageLedger()
+    ledger.hydrate({"cost": 0.42})
+
+    with patch("litellm.completion_cost", return_value=0.17):
+        ledger.record(agent_id="a", usage=usage, model="openai/deepseek-v4-flash")
+
+    assert ledger.total_cost == 0.59
+
+
+def test_zero_cost_disables_both_observed_and_estimated_costs() -> None:
+    usage = Usage()
+    usage.requests = 1
+    usage.input_tokens = 1000
+    usage.output_tokens = 200
+    usage.total_tokens = 1200
+    ledger = LLMUsageLedger()
+    ledger.zero_cost = True
+
+    with patch("litellm.completion_cost", return_value=0.42) as estimate:
+        ledger.record(agent_id="a", usage=usage, model="deepseek-v4-flash")
+        ledger.record_observed_cost(1.0)
+
+    estimate.assert_not_called()
+    assert ledger.total_cost == 0.0
+
+
+def test_resolver_uses_provider_when_bare_entry_has_one() -> None:
+    original = litellm.model_cost
+    litellm.model_cost = {
+        "example": {
+            "litellm_provider": "example-provider",
+            "input_cost_per_token": 1.0,
+            "output_cost_per_token": 2.0,
+        }
+    }
+    try:
+        resolve_litellm_model.cache_clear()
+        assert resolve_litellm_model("example") == "example-provider/example"
+    finally:
+        litellm.model_cost = original
+        resolve_litellm_model.cache_clear()
+
+
+def test_resolver_does_not_guess_between_differently_priced_providers() -> None:
+    original = litellm.model_cost
+    litellm.model_cost = {
+        "provider-a/example": {
+            "input_cost_per_token": 1.0,
+            "output_cost_per_token": 2.0,
+        },
+        "provider-b/example": {
+            "input_cost_per_token": 3.0,
+            "output_cost_per_token": 4.0,
+        },
+    }
+    try:
+        resolve_litellm_model.cache_clear()
+        assert resolve_litellm_model("example") is None
+    finally:
+        litellm.model_cost = original
+        resolve_litellm_model.cache_clear()

tests/test_respond_to_user.py

@@ -64,3 +64,31 @@ async def test_a_message_that_already_arrived_is_taken_instead_of_parking() -> N
     assert result["wait_outcome"] == "message_arrived"
     assert result["pending_messages"] == 1
     assert coordinator.statuses["root"] == "running"
+
+
+async def _call_without_message(context: dict[str, Any]) -> dict[str, Any]:
+    ctx = ToolContext(
+        context=context,
+        tool_name="respond_to_user",
+        tool_call_id="call-1",
+        tool_arguments="{}",
+    )
+    raw = await respond_to_user.on_invoke_tool(ctx, "{}")
+    return json.loads(raw)  # type: ignore[no-any-return]
+
+
+@pytest.mark.asyncio
+async def test_parks_without_a_message() -> None:
+    """An agent that has already said its piece as plain text can just wait.
+
+    The nudge is what leaves it here, and while a message was required the only
+    way to stop was to send the same answer a second time.
+    """
+    context = await _context(interactive=True)
+
+    result = await _call_without_message(context)
+
+    assert result["success"] is True
+    assert result["wait_outcome"] == "waiting"
+    assert result["message"] == ""
+    assert context["coordinator"].statuses["root"] == "waiting"

tests/test_runner_interrupt.py

@@ -0,0 +1,108 @@
+from __future__ import annotations
+
+import asyncio
+import types
+from typing import Any
+
+import pytest
+from agents import ModelSettings
+
+import strix.tools.notes.tools as notes_tools
+import strix.tools.todo.tools as todo_tools
+from strix.core import runner
+from strix.core.agents import AgentCoordinator
+from strix.runtime import session_manager
+
+
+def _wire_runner(monkeypatch: pytest.MonkeyPatch, tmp_path: Any) -> None:
+    monkeypatch.setattr(runner, "run_dir_for", lambda _scan_id: tmp_path)
+    monkeypatch.setattr(runner, "runtime_state_dir", lambda _run_dir: tmp_path)
+    monkeypatch.setattr(runner, "setup_scan_logging", lambda _run_dir: lambda: None)
+    monkeypatch.setattr(runner, "set_scan_id", lambda _scan_id: None)
+
+    settings = types.SimpleNamespace(
+        llm=types.SimpleNamespace(
+            model="openai/gpt-4o",
+            reasoning_effort="high",
+            force_required_tool_choice=False,
+            timeout=300,
+            prompt_cache=True,
+            extra_headers=None,
+        ),
+        runtime=types.SimpleNamespace(max_context_images=3),
+    )
+    monkeypatch.setattr(runner, "load_settings", lambda: settings)
+    monkeypatch.setattr(runner, "configure_sdk_model_defaults", lambda _settings: None)
+    monkeypatch.setattr(
+        runner, "uses_chat_completions_tool_schema", lambda _model, _settings: False
+    )
+    monkeypatch.setattr(todo_tools, "hydrate_todos_from_disk", lambda _state_dir: None)
+    monkeypatch.setattr(notes_tools, "hydrate_notes_from_disk", lambda _state_dir: None)
+
+    async def _create_or_reuse(*_args: Any, **_kwargs: Any) -> dict[str, Any]:
+        return {"client": object(), "session": object(), "caido_client": None}
+
+    async def _cleanup(*_args: Any, **_kwargs: Any) -> None:
+        return None
+
+    monkeypatch.setattr(session_manager, "create_or_reuse", _create_or_reuse)
+    monkeypatch.setattr(session_manager, "cleanup", _cleanup)
+    monkeypatch.setattr(runner, "build_root_task", lambda _scan_config: "task")
+    monkeypatch.setattr(runner, "build_scope_context", lambda _scan_config: "")
+    monkeypatch.setattr(runner, "make_model_settings", lambda *_a, **_k: ModelSettings())
+    monkeypatch.setattr(runner, "build_strix_agent", lambda **_kwargs: object())
+    monkeypatch.setattr(runner, "make_child_factory", lambda **_kwargs: lambda **_k: object())
+    monkeypatch.setattr(runner, "open_agent_session", lambda _root_id, _db: object())
+
+
+def _root_status(coordinator: AgentCoordinator) -> str:
+    roots = [aid for aid, parent in coordinator.parent_of.items() if parent is None]
+    assert len(roots) == 1
+    return coordinator.statuses[roots[0]]
+
+
+@pytest.mark.parametrize("interrupt", [KeyboardInterrupt, asyncio.CancelledError])
+@pytest.mark.asyncio
+async def test_user_interrupt_leaves_the_root_running_for_resume(
+    monkeypatch: pytest.MonkeyPatch, tmp_path: Any, interrupt: type[BaseException]
+) -> None:
+    _wire_runner(monkeypatch, tmp_path)
+
+    async def _interrupt(*_args: Any, **_kwargs: Any) -> None:
+        raise interrupt()
+
+    monkeypatch.setattr(runner, "run_agent_loop", _interrupt)
+    coordinator = AgentCoordinator()
+
+    with pytest.raises(interrupt):
+        await runner.run_strix_scan(
+            scan_config={"targets": [], "scan_mode": "deep"},
+            scan_id="scan-test",
+            image="img",
+            coordinator=coordinator,
+        )
+
+    assert _root_status(coordinator) == "running"
+
+
+@pytest.mark.asyncio
+async def test_a_real_crash_still_marks_root_failed(
+    monkeypatch: pytest.MonkeyPatch, tmp_path: Any
+) -> None:
+    _wire_runner(monkeypatch, tmp_path)
+
+    async def _boom(*_args: Any, **_kwargs: Any) -> None:
+        raise RuntimeError("boom")
+
+    monkeypatch.setattr(runner, "run_agent_loop", _boom)
+    coordinator = AgentCoordinator()
+
+    with pytest.raises(RuntimeError, match="boom"):
+        await runner.run_strix_scan(
+            scan_config={"targets": [], "scan_mode": "deep"},
+            scan_id="scan-test",
+            image="img",
+            coordinator=coordinator,
+        )
+
+    assert _root_status(coordinator) == "failed"

tests/test_runner_teardown.py

@@ -0,0 +1,93 @@
+from __future__ import annotations
+
+import asyncio
+import types
+from typing import Any
+
+import pytest
+from agents import ModelSettings
+
+import strix.tools.notes.tools as notes_tools
+import strix.tools.todo.tools as todo_tools
+from strix.core import runner
+from strix.core.agents import AgentCoordinator
+from strix.runtime import session_manager
+
+
+def _wire_runner(monkeypatch: pytest.MonkeyPatch, tmp_path: Any) -> None:
+    monkeypatch.setattr(runner, "run_dir_for", lambda _scan_id: tmp_path)
+    monkeypatch.setattr(runner, "runtime_state_dir", lambda _run_dir: tmp_path)
+    monkeypatch.setattr(runner, "setup_scan_logging", lambda _run_dir: lambda: None)
+    monkeypatch.setattr(runner, "set_scan_id", lambda _scan_id: None)
+
+    settings = _settings()
+    monkeypatch.setattr(runner, "load_settings", lambda: settings)
+    monkeypatch.setattr(runner, "configure_sdk_model_defaults", lambda _s: None)
+    monkeypatch.setattr(runner, "uses_chat_completions_tool_schema", lambda _m, _s: False)
+    monkeypatch.setattr(todo_tools, "hydrate_todos_from_disk", lambda _d: None)
+    monkeypatch.setattr(notes_tools, "hydrate_notes_from_disk", lambda _d: None)
+
+    async def _create_or_reuse(*_a: Any, **_k: Any) -> dict[str, Any]:
+        return {"client": object(), "session": object(), "caido_client": None}
+
+    async def _cleanup(*_a: Any, **_k: Any) -> None:
+        return None
+
+    monkeypatch.setattr(session_manager, "create_or_reuse", _create_or_reuse)
+    monkeypatch.setattr(session_manager, "cleanup", _cleanup)
+    monkeypatch.setattr(runner, "build_root_task", lambda _c: "task")
+    monkeypatch.setattr(runner, "build_scope_context", lambda _c: "")
+    monkeypatch.setattr(runner, "make_model_settings", lambda *_a, **_k: ModelSettings())
+    monkeypatch.setattr(runner, "build_strix_agent", lambda **_k: object())
+    monkeypatch.setattr(runner, "make_child_factory", lambda **_k: lambda **_kk: object())
+    monkeypatch.setattr(runner, "open_agent_session", lambda _root_id, _db: object())
+
+
+def _settings() -> Any:
+    return types.SimpleNamespace(
+        llm=types.SimpleNamespace(
+            model="openai/gpt-4o",
+            reasoning_effort="high",
+            force_required_tool_choice=False,
+            timeout=300,
+            prompt_cache=True,
+            extra_headers=None,
+        ),
+        runtime=types.SimpleNamespace(max_context_images=3),
+    )
+
+
+@pytest.mark.asyncio
+async def test_a_live_child_is_settled_before_sessions_close(
+    monkeypatch: pytest.MonkeyPatch, tmp_path: Any
+) -> None:
+    _wire_runner(monkeypatch, tmp_path)
+    coordinator = AgentCoordinator()
+    child_started = asyncio.Event()
+    child_task: dict[str, asyncio.Task[None]] = {}
+
+    async def _root_finishes(**kwargs: Any) -> None:
+        root_id = kwargs["agent_id"]
+
+        async def _child_mid_turn() -> None:
+            child_started.set()
+            await asyncio.sleep(3600)
+
+        await coordinator.register("child", "Child", parent_id=root_id)
+        task = asyncio.create_task(_child_mid_turn())
+        child_task["t"] = task
+        await coordinator.attach_runtime("child", task=task)
+        await child_started.wait()
+
+    monkeypatch.setattr(runner, "run_agent_loop", _root_finishes)
+
+    await runner.run_strix_scan(
+        scan_config={"targets": [], "scan_mode": "deep"},
+        scan_id="scan-test",
+        image="img",
+        coordinator=coordinator,
+    )
+
+    task = child_task["t"]
+    assert task.done(), "the child task was left running past scan teardown"
+    assert task.cancelled(), "the child was not cancelled cleanly on a finish"

tests/test_session_fd.py

@@ -0,0 +1,117 @@
+from __future__ import annotations
+
+import asyncio
+from pathlib import Path
+from typing import Any, cast
+
+import pytest
+
+from strix.core.sessions import open_agent_session
+
+
+def _count_open_fds() -> int | None:
+    for path in (Path("/proc/self/fd"), Path("/dev/fd")):
+        if path.is_dir():
+            return len(list(path.iterdir()))
+    return None
+
+
+@pytest.mark.asyncio
+async def test_sessions_hold_no_descriptors_while_parked(tmp_path: Path) -> None:
+    """Descriptor use must track live operations, not the number of sessions.
+
+    The SDK keeps a connection per (session, pool thread) open for the session's
+    whole life. An agent parks rather than exits, so its session lives for the
+    scan, and fan-out multiplies those handles until the process runs out of file
+    descriptors (#1018). A session that is not mid-operation should hold none.
+    """
+    baseline = _count_open_fds()
+    if baseline is None:
+        pytest.skip("no /proc/self/fd or /dev/fd on this platform")
+
+    sessions = [open_agent_session(f"a{i}", tmp_path / f"s{i}.db") for i in range(60)]
+    try:
+        for _ in range(4):
+            await asyncio.gather(
+                *(s.add_items([{"role": "user", "content": "x"}]) for s in sessions)
+            )
+            await asyncio.gather(*(s.get_items() for s in sessions))
+        parked = _count_open_fds()
+        assert parked is not None
+        # 60 parked sessions, yet descriptors are back at the baseline.
+        assert parked - baseline <= 5, f"parked fds grew by {parked - baseline}"
+    finally:
+        for s in sessions:
+            s.close()
+
+
+@pytest.mark.asyncio
+async def test_in_flight_descriptors_track_concurrency_not_session_count(
+    tmp_path: Path,
+) -> None:
+    baseline = _count_open_fds()
+    if baseline is None:
+        pytest.skip("no /proc/self/fd or /dev/fd on this platform")
+
+    sessions = [open_agent_session(f"a{i}", tmp_path / f"s{i}.db") for i in range(200)]
+    peak = baseline
+    try:
+
+        async def sample() -> None:
+            nonlocal peak
+            for _ in range(500):
+                current = _count_open_fds()
+                if current is not None:
+                    peak = max(peak, current)
+                await asyncio.sleep(0)
+
+        async def load() -> None:
+            for _ in range(4):
+                await asyncio.gather(
+                    *(s.add_items([{"role": "user", "content": "x"}]) for s in sessions)
+                )
+
+        await asyncio.gather(load(), sample())
+        # 200 sessions, but peak is bounded by the thread pool, well under 200.
+        assert peak - baseline < 100, f"in-flight fds peaked at +{peak - baseline}"
+    finally:
+        for s in sessions:
+            s.close()
+
+
+@pytest.mark.asyncio
+async def test_history_survives_the_per_operation_connection(tmp_path: Path) -> None:
+    session = open_agent_session("agent-1", tmp_path / "agents.db")
+    try:
+        for i in range(30):
+            await session.add_items([{"role": "user", "content": f"m{i}"}])
+        items = [cast("dict[str, Any]", i) for i in await session.get_items()]
+        assert [i["content"] for i in items] == [f"m{i}" for i in range(30)]
+    finally:
+        session.close()
+
+
+@pytest.mark.asyncio
+async def test_concurrent_sessions_sharing_one_file_stay_consistent(tmp_path: Path) -> None:
+    db = tmp_path / "shared.db"
+    sessions = [open_agent_session(f"a{i}", db) for i in range(10)]
+    try:
+        await asyncio.gather(
+            *(s.add_items([{"role": "user", "content": s.session_id}]) for s in sessions)
+        )
+        # Each session sees only its own row despite sharing the file.
+        for s in sessions:
+            items = [cast("dict[str, Any]", i) for i in await s.get_items()]
+            assert [i["content"] for i in items] == [s.session_id]
+    finally:
+        for s in sessions:
+            s.close()
+
+
+@pytest.mark.asyncio
+async def test_a_closed_session_refuses_operations(tmp_path: Path) -> None:
+    session = open_agent_session("agent-1", tmp_path / "agents.db")
+    await session.add_items([{"role": "user", "content": "x"}])
+    session.close()
+    with pytest.raises(RuntimeError, match="closed"):
+        await session.add_items([{"role": "user", "content": "y"}])

tests/test_todo.py

@@ -0,0 +1,105 @@
+from __future__ import annotations
+
+import json
+from typing import Any
+
+import pytest
+from agents.tool_context import ToolContext
+
+from strix.tools.todo import tools
+from strix.tools.todo.tools import _coerce_priority, create_todo
+
+
+@pytest.fixture(autouse=True)
+def _isolate_store() -> Any:
+    tools._todos_storage.clear()
+    yield
+    tools._todos_storage.clear()
+
+
+async def _create(todos: list[Any], agent_id: str = "root") -> dict[str, Any]:
+    ctx = ToolContext(
+        context={"agent_id": agent_id},
+        tool_name="create_todo",
+        tool_call_id="call-1",
+        tool_arguments="{}",
+    )
+    raw = await create_todo.on_invoke_tool(ctx, json.dumps({"todos": json.dumps(todos)}))
+    return json.loads(raw)  # type: ignore[no-any-return]
+
+
+def test_unknown_priority_falls_back_to_normal() -> None:
+    assert _coerce_priority("medium") == "normal"
+    assert _coerce_priority("urgent") == "normal"
+    assert _coerce_priority("high") == "high"
+
+
+@pytest.mark.asyncio
+async def test_one_bad_priority_no_longer_discards_the_batch() -> None:
+    result = await _create(
+        [
+            {"title": "Recon", "priority": "medium"},
+            {"title": "Probe /admin", "priority": "sky-high"},
+            {"title": "Report"},
+        ]
+    )
+
+    assert result["success"] is True
+    assert result["created_count"] == 3
+    by_title = {c["title"]: c["priority"] for c in result["created"]}
+    assert by_title["Recon"] == "normal"
+    assert by_title["Probe /admin"] == "normal"
+    assert by_title["Report"] == "normal"
+
+
+@pytest.mark.asyncio
+async def test_duplicate_titles_within_a_batch_are_skipped() -> None:
+    result = await _create(
+        [
+            {"title": "Subdomain enumeration"},
+            {"title": "Content discovery"},
+            {"title": "Subdomain enumeration"},
+            {"title": "content discovery"},
+        ]
+    )
+
+    assert result["created_count"] == 2
+    assert {c["title"] for c in result["created"]} == {
+        "Subdomain enumeration",
+        "Content discovery",
+    }
+    assert len(result["skipped"]) == 2
+    assert all(s["reason"] == "duplicate title" for s in result["skipped"])
+
+
+@pytest.mark.asyncio
+async def test_a_title_already_on_the_list_is_not_created_again() -> None:
+    await _create([{"title": "Crawl with katana"}])
+    result = await _create([{"title": "crawl with katana"}, {"title": "JS analysis"}])
+
+    assert [c["title"] for c in result["created"]] == ["JS analysis"]
+    assert [s["title"] for s in result["skipped"]] == ["crawl with katana"]
+    assert result["total_count"] == 2
+
+
+def test_coerce_never_raises() -> None:
+    assert _coerce_priority("nonsense") == "normal"
+    assert _coerce_priority(None) == "normal"
+    assert _coerce_priority("high") == "high"
+    for value in (2, ["high"], {"p": 1}, True):
+        assert _coerce_priority(value) == "normal"  # type: ignore[arg-type]
+
+
+@pytest.mark.asyncio
+async def test_non_string_priority_does_not_fail_the_batch() -> None:
+    result = await _create(
+        [
+            {"title": "Recon", "priority": 2},
+            {"title": "Probe", "priority": ["high"]},
+            {"title": "Report"},
+        ]
+    )
+
+    assert result["success"] is True
+    assert result["created_count"] == 3
+    assert {c["priority"] for c in result["created"]} == {"normal"}

tests/test_tui_backend_controller.py

@@ -234,12 +234,11 @@ async def test_confirming_the_mount_starts_the_scan_without_a_target() -> None:
 
 
 @pytest.mark.asyncio
-async def test_declining_the_mount_returns_to_the_start_screen() -> None:
-    started = False
+async def test_declining_the_mount_runs_without_one() -> None:
+    started: list[bool] = []
 
-    async def start(_verify: bool = True) -> None:
-        nonlocal started
-        started = True
+    async def start(verify: bool = True) -> None:
+        started.append(verify)
 
     os.environ["STRIX_LLM"] = "anthropic/claude-sonnet-4"
     os.environ["ANTHROPIC_API_KEY"] = "test-key"
@@ -250,14 +249,34 @@ async def test_declining_the_mount_returns_to_the_start_screen() -> None:
     result = await controller.handle("setup.confirm_mount", {"approved": False})
 
     assert result == {"approved": False}
-    # Nothing was prepared, so the session goes back to the start screen and can
-    # be launched again.
-    assert started is False
+    # Declining skips the directory; it does not abandon the scan.
+    assert started == [False]
     assert controller.workspace_mount is None
     assert controller.pending_workspace_mount is None
-    assert controller.setup_mode is True
-    assert controller.scan_started is False
-    assert controller.scan_state == "setup"
+    assert controller.setup_mode is False
+    assert controller.scan_started is True
+    assert controller.scan_state == "running"
+
+
+@pytest.mark.asyncio
+async def test_approving_the_mount_runs_with_it() -> None:
+    started: list[bool] = []
+
+    async def start(verify: bool = True) -> None:
+        started.append(verify)
+
+    os.environ["STRIX_LLM"] = "anthropic/claude-sonnet-4"
+    os.environ["ANTHROPIC_API_KEY"] = "test-key"
+    loader._cached = None
+    controller = TuiController(args(), on_start=start)
+    await controller.handle("setup.start", {"verify": False, "mount_working_dir": True})
+
+    result = await controller.handle("setup.confirm_mount", {"approved": True})
+
+    assert result == {"approved": True}
+    assert started == [False]
+    assert controller.workspace_mount == str(Path.cwd())
+    assert controller.scan_state == "running"
 
 
 @pytest.mark.asyncio

tests/test_tui_resume_history.py

@@ -7,19 +7,26 @@ shows what the user actually typed; resuming has to match that.
 
 from __future__ import annotations
 
+import ast
 import json
 import sqlite3
+from pathlib import Path
 from typing import TYPE_CHECKING, Any
 
 import pytest
 
+from strix.core import execution
 from strix.core.paths import runtime_state_dir
 from strix.interface.tui.backend.live_view import TuiLiveView as GoTuiLiveView
-from strix.interface.tui.live_view import TuiLiveView, _is_internal_agent_turn
+from strix.interface.tui.live_view import (
+    _INTERNAL_TURN_PREFIXES,
+    TuiLiveView,
+    _is_internal_agent_turn,
+)
 
 
 if TYPE_CHECKING:
-    from pathlib import Path
+    from types import ModuleType
 
 
 def _write_run(run_dir: Path, items: list[dict[str, Any]], agent_id: str = "root") -> None:
@@ -176,11 +183,60 @@ def test_internal_turn_classifier_matches_every_injected_form() -> None:
         "[CRITICAL] Turn budget: 480/500 used (96%).",
         "== Inherited context from parent (background only) ==",
         "Your previous message ended a turn without a tool call.",
-        "Your previous response ended the autonomous Strix run without a lifecycle tool call.",
+        "Your previous response ended the autonomous run without a lifecycle tool call.",
     ):
         assert _is_internal_agent_turn(content), content
 
 
+def _injected_strings(module: ModuleType) -> list[str]:
+    """Every string a module can inject, and nothing it merely mentions.
+
+    Parsing rather than searching the text keeps comments out of it, so a stale
+    copy of a message left in a comment cannot pass for the message itself. It
+    also joins adjacent literals for free, which the line wrapping needs, and
+    docstrings are dropped because they describe the code rather than run in it.
+    """
+    tree = ast.parse(Path(module.__file__ or "").read_text(encoding="utf-8"))
+    docstrings = set()
+    for node in ast.walk(tree):
+        if not isinstance(node, ast.Module | ast.ClassDef | ast.FunctionDef | ast.AsyncFunctionDef):
+            continue
+        first = node.body[0] if node.body else None
+        if isinstance(first, ast.Expr) and isinstance(first.value, ast.Constant):
+            docstrings.add(id(first.value))
+
+    literals: list[str] = []
+    for node in ast.walk(tree):
+        if isinstance(node, ast.Constant):
+            if isinstance(node.value, str) and id(node) not in docstrings:
+                literals.append(node.value)
+        elif isinstance(node, ast.JoinedStr):
+            literals.append(
+                "".join(
+                    part.value
+                    for part in node.values
+                    if isinstance(part, ast.Constant) and isinstance(part.value, str)
+                )
+            )
+    return literals
+
+
+def test_internal_turn_prefixes_still_match_what_is_injected() -> None:
+    """The classifier copies sentences out of another module, so they can drift.
+
+    Both nudges are written inline in strix.core.execution, so there is nothing to
+    import and compare against. Read them back out of what that module can inject.
+    """
+    injected = _injected_strings(execution)
+    nudges = [prefix for prefix in _INTERNAL_TURN_PREFIXES if prefix.startswith("Your previous")]
+    assert nudges, "the no-tool-call nudges are no longer in the classifier"
+    for nudge in nudges:
+        assert any(nudge in literal for literal in injected), (
+            f"the classifier expects {nudge!r}, which strix.core.execution no longer "
+            f"injects. A resumed scan would show that nudge as the user's own message."
+        )
+
+
 def test_internal_turn_classifier_keeps_bracketed_user_text() -> None:
     """A leading bracket is not enough: typed text often starts with one."""
     for content in (

uv.lock

@@ -2378,7 +2378,7 @@ wheels = [
 
 [[package]]
 name = "strix-agent"
-version = "1.5.0"
+version = "1.5.3"
 source = { editable = "." }
 dependencies = [
     { name = "caido-sdk-client" },