Files
PaperClipAI/packages/adapters/opencode-local/src/server/test.ts
T
DottaandPaperclip 47ded8bf97 feat: manage AI runtime credentials through Connections (#13247)
## Thinking Path

> - Paperclip is the open source app people use to manage AI agents for
work.
> - Agent runs need credentials for a specific provider and sign-in
method.
> - Connections already owns accounts, grants, and access permissions.
> - AI authentication should use those same boundaries.
> - This pull request adds the storage, API, adoption, and runtime
foundation.
> - Legacy agents keep their authentication until they explicitly adopt
a managed connection.

## Linked Issues or Issue Description

**Problem or motivation**
AI credentials are configured separately from Connections. Agents cannot
consistently reuse a responsible user's account or a permitted shared
account.

**Proposed solution**
Manage AI accounts with the existing Connections grants and permissions.
Keep model and harness selection independent from credential selection.
Preserve legacy authentication until validated adoption.

**Alternatives considered**
A separate credential registry would duplicate ownership and access
policy. Automatic fallback would risk using the wrong account.

**Roadmap alignment**
This extends the shipped Apps, multi-user, secrets, and agent-runtime
capabilities. The maintainer requested the feature and reviewed the UI.
Related groundwork: #11899 (connection permissions), #10910 (connection
wizard), #11692 (Claude subscription profiles), and #11854 (Codex
account rotation).

## What Changed

- Add AI-purpose/runtime-auth contracts and an additive, idempotent
migration.
- Add Claude, OpenAI, OpenRouter, and Grok provider capabilities and
catalog entries.
- Store credentials on grants. Resolve responsible-user defaults or
explicit permitted grants.
- Isolate managed credentials and provider sessions across accounts.
Block missing credentials without ambient fallback.
- Keep imported legacy secrets unchanged during reconnect. Use
independent local Codex/Grok sign-in attempts for rotating credentials.
- Add authorization, migration, concurrent refresh, retry, cancellation,
and legacy-compatibility tests.

This is part 1 of a two-PR stack. The app UI follows in #13248. Merge
the foundation first.

## Verification

- Updated against master `04e364236`, preserving upstream provider login
and connector workflows.
- Full workspace typecheck, production build, Storybook build, and token
gates passed on the integrated branch. Final local-login changes passed
59 focused tests; new-agent and inbox regression suites passed 63 tests.
- Browser checks verified automatic local Claude account detection,
resumable Codex login commands, retry, focus restoration, and
desktop/phone layouts. Commands create their isolated directory before
invoking the CLI.
- All current-head CI checks passed on `2a996560a`, including all
server/workspace tests, browser shards, runner verification, typecheck,
build, and canary dry run. Greptile reviewed that commit at 5/5 with no
unresolved threads. Earlier local full-suite attempts hit the Mac
PostgreSQL shared-memory limit; the complete suites passed in CI.
- Renumbered the additive AI migration to `0276` after upstream
migrations and regenerated its snapshot. Existing legacy agents retain
their configuration.
- Added local login status checks, owner-scoped retry, managed OpenCode
remote homes, credential-aware model discovery, and task
connection-repair delivery.

## Risks

- Managed credential failures intentionally block execution. They do not
restore legacy fallback.
- Preview-era copied Codex/Grok subscriptions require independent
reconnect.
- The integrated branch has live provider acceptance coverage. This
update verifies local Claude detection and Codex API-key task repair; it
does not add a new subscription authorization/refresh or Daytona stress
pass.
- Runtime-auth connections must stay excluded from tool and channel
handling.

## Model Used

OpenAI GPT-6 through Codex, with reasoning, repository tools, code
execution, and browser testing. The exact runtime model identifier and
context-window size are not exposed in this session.

## Checklist

- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [x] I have searched GitHub for duplicate or related PRs and linked
them above
- [x] I have either (a) linked existing issues with `Fixes: #` / `Closes
#` / `Refs #` OR (b) described the issue in-PR following the relevant
issue template
- [x] I have not referenced internal/instance-local Paperclip issues or
links (only public GitHub `#NNN` / `github.com/paperclipai/paperclip`
URLs)
- [x] My branch name describes the change (e.g. `docs/...`, `fix/...`)
and contains no internal Paperclip ticket id or instance-derived details
- [x] I have run tests locally and they pass
- [x] I have added or updated tests where applicable
- [x] I have updated relevant documentation to reflect my changes
- [x] I have considered and documented any risks above
- [x] All Paperclip CI gates are green
- [x] Greptile is 5/5 with no open P2s, recommendations, or follow-ups
- [x] I will address all Greptile and reviewer comments before
requesting merge

---------

Co-authored-by: Paperclip <noreply@paperclip.ing>
2026-09-12 16:30:10 -05:00

449 lines
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import fs from "node:fs/promises";
import os from "node:os";
import path from "node:path";
import type {
AdapterEnvironmentCheck,
AdapterEnvironmentTestContext,
AdapterEnvironmentTestResult,
} from "@paperclipai/adapter-utils";
import type { AdapterExecutionTarget } from "@paperclipai/adapter-utils/execution-target";
import {
asBoolean,
asNumber,
asString,
asStringArray,
parseObject,
ensurePathInEnv,
} from "@paperclipai/adapter-utils/server-utils";
import {
ensureAdapterExecutionTargetCommandResolvable,
maybeRunSandboxInstallCommand,
ensureAdapterExecutionTargetDirectory,
runAdapterExecutionTargetProcess,
describeAdapterExecutionTarget,
resolveAdapterExecutionTargetCwd,
prepareAdapterExecutionTargetRuntime,
overrideAdapterExecutionTargetRemoteCwd,
} from "@paperclipai/adapter-utils/execution-target";
import { discoverOpenCodeModels, ensureOpenCodeModelConfiguredAndAvailable } from "./models.js";
import { parseOpenCodeJsonl } from "./parse.js";
import { SANDBOX_INSTALL_COMMAND } from "../index.js";
import { prepareOpenCodeRuntimeConfig, prepareManagedOpenCodeRemoteHomes } from "./runtime-config.js";
function summarizeStatus(checks: AdapterEnvironmentCheck[]): AdapterEnvironmentTestResult["status"] {
if (checks.some((check) => check.level === "error")) return "fail";
if (checks.some((check) => check.level === "warn")) return "warn";
return "pass";
}
function firstNonEmptyLine(text: string): string {
return (
text
.split(/\r?\n/)
.map((line) => line.trim())
.find(Boolean) ?? ""
);
}
function summarizeProbeDetail(stdout: string, stderr: string, parsedError: string | null): string | null {
const raw = parsedError?.trim() || firstNonEmptyLine(stderr) || firstNonEmptyLine(stdout);
if (!raw) return null;
const clean = raw.replace(/\s+/g, " ").trim();
const max = 240;
return clean.length > max ? `${clean.slice(0, max - 1)}...` : clean;
}
function normalizeEnv(input: unknown): Record<string, string> {
if (typeof input !== "object" || input === null || Array.isArray(input)) return {};
const env: Record<string, string> = {};
for (const [key, value] of Object.entries(input as Record<string, unknown>)) {
if (typeof value === "string") env[key] = value;
}
return env;
}
const OPENCODE_AUTH_REQUIRED_RE =
/(?:auth(?:entication)?\s+required|api\s*key|invalid\s*api\s*key|not\s+logged\s+in|opencode\s+auth\s+login|free\s+usage\s+exceeded)/i;
export async function testEnvironment(
ctx: AdapterEnvironmentTestContext,
): Promise<AdapterEnvironmentTestResult> {
const checks: AdapterEnvironmentCheck[] = [];
const config = parseObject(ctx.config);
const command = asString(config.command, "opencode");
const target = ctx.executionTarget ?? null;
const targetIsRemote = target?.kind === "remote";
const targetIsSandbox = target?.kind === "remote" && target.transport === "sandbox";
const cwd = resolveAdapterExecutionTargetCwd(target, asString(config.cwd, ""), process.cwd());
const targetLabel = targetIsRemote
? ctx.environmentName ?? describeAdapterExecutionTarget(target)
: null;
const runId = `opencode-envtest-${Date.now()}-${Math.random().toString(16).slice(2)}`;
if (targetLabel) {
checks.push({
code: "opencode_environment_target",
level: "info",
message: `Probing inside environment: ${targetLabel}`,
});
}
try {
await ensureAdapterExecutionTargetDirectory(runId, target, cwd, {
cwd,
env: {},
createIfMissing: false,
});
checks.push({
code: "opencode_cwd_valid",
level: "info",
message: `Working directory is valid: ${cwd}`,
});
} catch (err) {
checks.push({
code: "opencode_cwd_invalid",
level: "error",
message: err instanceof Error ? err.message : "Invalid working directory",
detail: cwd,
});
}
const envConfig = parseObject(config.env);
const env: Record<string, string> = {};
for (const [key, value] of Object.entries(envConfig)) {
if (typeof value === "string") env[key] = value;
}
const openaiKeyOverride = "OPENAI_API_KEY" in envConfig ? asString(envConfig.OPENAI_API_KEY, "") : null;
if (!config.managedAiConnection && openaiKeyOverride !== null && openaiKeyOverride.trim() === "") {
checks.push({
code: "opencode_openai_api_key_missing",
level: "warn",
message: "OPENAI_API_KEY override is empty.",
hint: "The OPENAI_API_KEY override is empty. Set a valid key or remove the override.",
});
}
// Prevent OpenCode from writing an opencode.json into the working directory.
env.OPENCODE_DISABLE_PROJECT_CONFIG = "true";
const preparedRuntimeConfig = await prepareOpenCodeRuntimeConfig({ env, config });
const localRuntimeConfigHome =
preparedRuntimeConfig.notes.length > 0 ? preparedRuntimeConfig.env.XDG_CONFIG_HOME : "";
if (asBoolean(config.dangerouslySkipPermissions, true)) {
checks.push({
code: "opencode_headless_permissions_enabled",
level: "info",
message: "Headless OpenCode external-directory permissions are auto-approved for unattended runs.",
});
}
let restoreWorkspace: (() => Promise<void>) | null = null;
// Declared outside `try` so a failure inside `prepareAdapterExecutionTargetRuntime`
// still has the path available for cleanup in `finally` — otherwise the
// `fs.mkdtemp` directory leaks on the early-throw path.
let preparedRuntimeWorkspaceLocalDir: string | null = null;
try {
let runtimeTarget: AdapterExecutionTarget | null = target ?? null;
let runtimeCwd = cwd;
if (targetIsRemote) {
preparedRuntimeWorkspaceLocalDir = await fs.mkdtemp(path.join(os.tmpdir(), `paperclip-opencode-envtest-${runId}-`));
const preparedExecutionTargetRuntime = await prepareAdapterExecutionTargetRuntime({
runId,
target,
adapterKey: "opencode",
workspaceLocalDir: preparedRuntimeWorkspaceLocalDir,
workspaceRemoteDir: cwd,
installCommand: SANDBOX_INSTALL_COMMAND,
detectCommand: command,
assets: localRuntimeConfigHome
? [{
key: "xdgConfig",
localDir: localRuntimeConfigHome,
}]
: [],
});
restoreWorkspace = async () => {
await preparedExecutionTargetRuntime.restoreWorkspace().catch(() => {});
if (preparedRuntimeWorkspaceLocalDir) {
await fs.rm(preparedRuntimeWorkspaceLocalDir, { recursive: true, force: true }).catch(() => {});
}
};
runtimeCwd = preparedExecutionTargetRuntime.workspaceRemoteDir ?? runtimeCwd;
runtimeTarget = overrideAdapterExecutionTargetRemoteCwd(target ?? null, runtimeCwd) ?? null;
if (localRuntimeConfigHome && preparedExecutionTargetRuntime.assetDirs.xdgConfig) {
preparedRuntimeConfig.env.XDG_CONFIG_HOME = preparedExecutionTargetRuntime.assetDirs.xdgConfig;
}
prepareManagedOpenCodeRemoteHomes({
env: preparedRuntimeConfig.env,
config,
runtimeRootDir: preparedExecutionTargetRuntime.runtimeRootDir,
runId,
configDir: preparedExecutionTargetRuntime.assetDirs.xdgConfig,
});
}
const runtimeEnv = normalizeEnv(ensurePathInEnv({ ...process.env, ...preparedRuntimeConfig.env }));
const cwdInvalid = checks.some((check) => check.code === "opencode_cwd_invalid");
if (cwdInvalid) {
checks.push({
code: "opencode_command_skipped",
level: "warn",
message: "Skipped command check because working directory validation failed.",
detail: command,
});
} else {
const installCheck = await maybeRunSandboxInstallCommand({
runId,
target,
adapterKey: "opencode",
installCommand: SANDBOX_INSTALL_COMMAND,
detectCommand: command,
env,
});
if (installCheck) checks.push(installCheck);
try {
await ensureAdapterExecutionTargetCommandResolvable(command, runtimeTarget, runtimeCwd, runtimeEnv);
checks.push({
code: "opencode_command_resolvable",
level: "info",
message: `Command is executable: ${command}`,
});
} catch (err) {
checks.push({
code: "opencode_command_unresolvable",
level: "error",
message: err instanceof Error ? err.message : "Command is not executable",
detail: command,
});
}
}
const canRunProbe =
checks.every((check) => check.code !== "opencode_cwd_invalid" && check.code !== "opencode_command_unresolvable");
let modelValidationPassed = false;
const configuredModel = asString(config.model, "").trim();
// Model discovery and validation use local child processes against
// OpenCode's `models` subcommand and JSON config; these are not yet
// wired through the execution target. When probing a remote env, skip
// discovery/validation and rely on the remote hello probe to surface
// model/auth issues directly.
if (targetIsRemote && configuredModel) {
checks.push({
code: "opencode_model_validation_skipped_remote",
level: "info",
message: `Skipped local model validation; will be validated by the hello probe inside ${targetLabel}.`,
});
modelValidationPassed = true;
} else if (canRunProbe && configuredModel) {
try {
const discovered = await discoverOpenCodeModels({ command, cwd, env: runtimeEnv });
if (discovered.length > 0) {
checks.push({
code: "opencode_models_discovered",
level: "info",
message: `Discovered ${discovered.length} model(s) from OpenCode providers.`,
});
} else {
checks.push({
code: "opencode_models_empty",
level: "error",
message: "OpenCode returned no models.",
hint: "Run `opencode models` and verify provider authentication.",
});
}
} catch (err) {
const errMsg = err instanceof Error ? err.message : String(err);
if (/ProviderModelNotFoundError/i.test(errMsg)) {
checks.push({
code: "opencode_hello_probe_model_unavailable",
level: "warn",
message: "The configured model was not found by the provider.",
detail: errMsg,
hint: "Run `opencode models` and choose an available provider/model ID.",
});
} else {
checks.push({
code: "opencode_models_discovery_failed",
level: "error",
message: errMsg || "OpenCode model discovery failed.",
hint: "Run `opencode models` manually to verify provider auth and config.",
});
}
}
} else if (!targetIsRemote && canRunProbe && !configuredModel) {
try {
const discovered = await discoverOpenCodeModels({ command, cwd, env: runtimeEnv });
if (discovered.length > 0) {
checks.push({
code: "opencode_models_discovered",
level: "info",
message: `Discovered ${discovered.length} model(s) from OpenCode providers.`,
});
}
} catch (err) {
const errMsg = err instanceof Error ? err.message : String(err);
if (/ProviderModelNotFoundError/i.test(errMsg)) {
checks.push({
code: "opencode_hello_probe_model_unavailable",
level: "warn",
message: "The configured model was not found by the provider.",
detail: errMsg,
hint: "Run `opencode models` and choose an available provider/model ID.",
});
} else {
checks.push({
code: "opencode_models_discovery_failed",
level: "warn",
message: errMsg || "OpenCode model discovery failed (best-effort, no model configured).",
hint: "Run `opencode models` manually to verify provider auth and config.",
});
}
}
}
const modelUnavailable = checks.some((check) => check.code === "opencode_hello_probe_model_unavailable");
if (!configuredModel && !modelUnavailable) {
// No model configured – skip model requirement if no model-related checks exist
} else if (!targetIsRemote && configuredModel && canRunProbe) {
try {
await ensureOpenCodeModelConfiguredAndAvailable({
model: configuredModel,
command,
cwd,
env: runtimeEnv,
});
checks.push({
code: "opencode_model_configured",
level: "info",
message: `Configured model: ${configuredModel}`,
});
modelValidationPassed = true;
} catch (err) {
checks.push({
code: "opencode_model_invalid",
level: "error",
message: err instanceof Error ? err.message : "Configured model is unavailable.",
hint: "Run `opencode models` and choose a currently available provider/model ID.",
});
}
}
if (canRunProbe && modelValidationPassed) {
const extraArgs = (() => {
const fromExtraArgs = asStringArray(config.extraArgs);
if (fromExtraArgs.length > 0) return fromExtraArgs;
return asStringArray(config.args);
})();
const variant = asString(config.variant, "").trim();
const probeModel = configuredModel;
const args = ["run", "--format", "json"];
args.push("--model", probeModel);
if (variant) args.push("--variant", variant);
if (extraArgs.length > 0) args.push(...extraArgs);
// Sandbox bridges still add cold-start and transport overhead, but the
// standard-2 Cloudflare tier now probes quickly enough that 90s keeps
// useful headroom without letting slow hangs linger.
const helloProbeTimeoutSec = Math.max(
1,
asNumber(config.helloProbeTimeoutSec, targetIsSandbox ? 90 : 60),
);
try {
const probe = await runAdapterExecutionTargetProcess(
runId,
runtimeTarget,
command,
args,
{
cwd: runtimeCwd,
env: runtimeEnv,
timeoutSec: helloProbeTimeoutSec,
graceSec: 5,
stdin: "Respond with hello.",
onLog: async () => {},
},
);
const parsed = parseOpenCodeJsonl(probe.stdout);
const detail = summarizeProbeDetail(probe.stdout, probe.stderr, parsed.errorMessage);
const authEvidence = `${parsed.errorMessage ?? ""}\n${probe.stdout}\n${probe.stderr}`.trim();
if (probe.timedOut) {
checks.push({
code: "opencode_hello_probe_timed_out",
level: "warn",
message: "OpenCode hello probe timed out.",
hint: "Retry the probe. If this persists, run OpenCode manually in this working directory.",
});
} else if ((probe.exitCode ?? 1) === 0 && !parsed.errorMessage) {
const summary = parsed.summary.trim();
const hasHello = /\bhello\b/i.test(summary);
checks.push({
code: hasHello ? "opencode_hello_probe_passed" : "opencode_hello_probe_unexpected_output",
level: hasHello ? "info" : "warn",
message: hasHello
? "OpenCode hello probe succeeded."
: "OpenCode probe ran but did not return `hello` as expected.",
...(summary ? { detail: summary.replace(/\s+/g, " ").trim().slice(0, 240) } : {}),
...(hasHello
? {}
: {
hint: "Run `opencode run --format json` manually and prompt `Respond with hello` to inspect output.",
}),
});
} else if (/ProviderModelNotFoundError/i.test(authEvidence)) {
checks.push({
code: "opencode_hello_probe_model_unavailable",
level: "warn",
message: "The configured model was not found by the provider.",
...(detail ? { detail } : {}),
hint: "Run `opencode models` and choose an available provider/model ID.",
});
} else if (OPENCODE_AUTH_REQUIRED_RE.test(authEvidence)) {
checks.push({
code: "opencode_hello_probe_auth_required",
level: "warn",
message: "OpenCode is installed, but provider authentication is not ready.",
...(detail ? { detail } : {}),
hint: "Run `opencode auth login` or set provider credentials, then retry the probe.",
});
} else {
checks.push({
code: "opencode_hello_probe_failed",
level: "error",
message: "OpenCode hello probe failed.",
...(detail ? { detail } : {}),
hint: "Run `opencode run --format json` manually in this working directory to debug.",
});
}
} catch (err) {
checks.push({
code: "opencode_hello_probe_failed",
level: "error",
message: "OpenCode hello probe failed.",
detail: err instanceof Error ? err.message : String(err),
hint: "Run `opencode run --format json` manually in this working directory to debug.",
});
}
}
} finally {
await restoreWorkspace?.();
if (!restoreWorkspace && preparedRuntimeWorkspaceLocalDir) {
// Reached when `prepareAdapterExecutionTargetRuntime` threw before
// assigning `restoreWorkspace`: clean up the temp dir directly.
await fs.rm(preparedRuntimeWorkspaceLocalDir, { recursive: true, force: true }).catch(() => {});
}
await preparedRuntimeConfig.cleanup();
}
return {
adapterType: ctx.adapterType,
status: summarizeStatus(checks),
checks,
testedAt: new Date().toISOString(),
};
}