Setup, end to end: pick a Bot, connect a model, prove it answers - #451
Setup, end to end: pick a Bot, connect a model, prove it answers#451davidmckayv wants to merge 47 commits into
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The picker needs something to pick. These are the first eight rows: CrewAI, Agno, LlamaIndex, Pydantic AI, LangGraph, AWS Strands, Google ADK and Langroid, each an image that speaks AG-UI and each built on the integration somebody else already keeps working. Six of those packages come from the AG-UI repository and two are published by the framework's own authors. Not one line of protocol is ours, which is the rule. Every one answered the same question over a real AG-UI stream before it was committed. Not one of the eight worked from its documentation alone: `uvicorn --host ::` binds IPv6 only, with no v4-mapped addresses, so the first container refused 127.0.0.1 and would have failed its Compose healthcheck for reasons nothing on screen would explain. Agno moved its interface to `agno.os.interfaces.agui` and ships neither FastAPI nor python-multipart with the extra that needs them. LlamaIndex's litellm wrapper sends `tool_choice` with no tools, which OpenAI rejects outright, so it takes the provider-specific class instead. Pydantic AI has no `to_ag_ui()`; the entry point is `AGUIAdapter.dispatch_request`. LangGraph refuses to run without a checkpointer because the integration resumes threads by id. Strands and Langroid both take a `name` their READMEs omit. Langroid rejects `openai/gpt-4o-mini` as an invalid model id and wants the bare name. The catalogue is data rather than wizard code, so a ninth is a row and an image. It deliberately excludes OpenBot's own `built-in` agent type, which is a system prompt and not a harness, and everything the AG-UI table still marks In Progress.
…erved AG2, Microsoft Agent Framework and Claude Agent SDK, on the same terms as the other eight: an image, the integration its own maintainers publish, and nothing of the protocol written here. AG2 and Microsoft each answered a real AG-UI run before being committed. AG2 mounts through `build_asgi` rather than the helper its README names, and Microsoft's client takes the model positionally and builds an agent with `as_agent`, not `create_agent`. Claude Agent SDK is the row where a plan stands in for a key, so it carries the precedence trap the build doc warned about: Anthropic resolves `ANTHROPIC_API_KEY` ahead of `CLAUDE_CODE_OAUTH_TOKEN`, and a container given both bills the key while the subscription somebody deliberately chose goes unused. It refuses to start with both set, and refuses to start with neither. That guard is tested; the harness answering is not, because it needs a subscription token or an Anthropic key and this machine has neither. Mastra comes off the list. Not a judgement on Mastra: there is no way to serve it over AG-UI today without breaking the rule this list exists for. `@mastra/agui` is Mastra's own server-side helper and peer-depends on `@mastra/core >=0.10.7 <0.12.0`, last published July 2025, against a core now at 1.64. `@ag-ui/mastra` from the AG-UI repository is a client abstraction with no HTTP handler on it. The two remaining options were a year-old core or an HTTP layer of ours. A test pins its absence so that putting it back is deliberate.
`ClaudeAgentAdapter` takes a `name` its README omits, which is the eleventh harness in a row whose documentation was not enough to start it. With that fixed it answered a real AG-UI run on `CLAUDE_CODE_OAUTH_TOKEN` alone, with no `ANTHROPIC_API_KEY` set anywhere. That is the whole point of this row: somebody who pays for a Claude plan gets a working Bot without going to find an API key, and the precedence guard beside it makes sure the plan is what actually gets used.
My first answer was wrong. I said Mastra could not be served because
`@mastra/agui` is a year behind its own core and `@ag-ui/mastra` exposes no
handler. The second half of that was a mistake: `registerCopilotKit` is a
subpath export, `@ag-ui/mastra/copilotkit`, and I only listed the root.
Built properly, it works. Mastra serves the route from its own server, the image
answers, and the token guard refuses an unauthenticated call. What it serves is
the CopilotKit Runtime protocol rather than AG-UI: it wants a `method` field and
refuses a `RunAgentInput`. `{"method":"info"}` answers with runtime 1.70.1 in SSE
mode and lists the agent, so the endpoint is healthy and simply speaks something
else.
A Bot in OpenBot is an AG-UI URL, so Mastra still cannot be a row. The image
stays because it is what establishes that, and because closing the gap is a
small change at one of two ends: OpenBot accepting a CopilotKit Runtime endpoint
as a second kind of Bot, which is defensible since that runtime is ours, or
Mastra publishing a plain AG-UI route. Writing the AG-UI layer here is the one
option ruled out.
A Mastra server speaks Mastra's client protocol, not AG-UI, and the harness was papering over that with registerCopilotKit from @ag-ui/mastra/copilotkit. That serves the CopilotKit Runtime protocol rather than AG-UI: a run reached it and came back complaining about a missing method field, so the Bot was dead on arrival. The translation belongs on this side. remoteTransport now dials a Mastra endpoint with getRemoteAgents, the bridge Mastra and AG-UI maintain between them, and hands back an AbstractAgent like the HTTP path does. Construction moves out of remoteAgentWithStandingRole because building a Mastra transport is asynchronous and that function is not, but the better reason is that it leaves one wrapper: the standing role, the holdings message, the offered tools and the signed assertion apply to both kinds, and no transport has its own copy to drift from. The harness loses its route and its dependency on the bridge, and is a plain Mastra server. RegisteredRemoteAgent is a union of two single-literal variants rather than one type with a union discriminant, because TypeScript will not eliminate a member whose discriminant is itself a union: written the other way, the built-in path below silently stops being narrowed to a built-in Bot. pickFromRoster is pure and tested separately. A name that was asked for is never replaced by the only agent present, because that turns a typo into a Bot that runs and answers as somebody else.
It was out because the only thing a harness could mount served the CopilotKit Runtime protocol rather than AG-UI, so the row would have been a Bot that could not answer. The bridge is on OpenBot's side now, so the row is real. The test is inverted rather than deleted: if Mastra leaves the catalogue again it means remoteTransport regressed, and that should fail here instead of the picker quietly getting shorter.
The setup form asked for an OpenAI key in a password field, which is the developer-shaped main path the audience rule exists to prevent. The model question is now a screen with two first-class providers and one row for everything else, and a plan is the default wherever a plan exists. Two providers and an OpenAI-compatible endpoint is the shape, not a shortlist: every other vendor speaks that wire format, and the endpoint row is the only one that asks for a URL. A test pins that, because a second row asking for one means the main path grew a step nobody non-technical can finish. Marks come from @lobehub/icons-static-svg, MIT, vendored rather than fetched because the window draws before it has a network. Nine of the twelve harnesses have one. Agno, AG2 and Langroid have none in any maintained set, so those rows show the name: nothing is invented, since a monogram we drew reads as the vendor's own. Every row shows its name whether or not it has a mark, so an unmarked row is not a lesser one, and a person who does not recognise a logo can still read the row. They are inlined as data URIs and drawn with img, so no markup is ever injected and what is in the file never becomes a security question. The tiles are real radios inside labels rather than buttons wearing role="radio", which gets arrow-key navigation and the whole tile as the hit area for free.
The credential was one field holding an OpenAI key, and the screen asked for it in a password box. Two problems in one: it was the developer-shaped main path, and it could not express what the other providers need. ModelCredential is a choice rather than a bag of optional strings, because the combination that must never exist is the point. ANTHROPIC_API_KEY takes precedence over a plan's OAuth token in the Claude Agent SDK, so a stack carrying both bills somebody who just signed in to a plan they already pay for. Two fields cannot say "never both"; a choice can, and a test pins it. The plan writes ANTHROPIC_API_KEY as empty rather than omitting it, because the .env writer preserves lines it does not own and a key left from an earlier attempt would win by the same route. start_stack takes the screen's whole answer and works out which keys that implies, rather than being handed keys. The conversion can fail and says so: a plan with no token would otherwise raise a stack whose Bot cannot answer, which reads as a broken product rather than an unfinished sign-in. The window now asks which Bot, then which model, then installs, holding both answers so Back does not lose them.
The plan is the default path on the model screen, and it needed a credential nobody types. `claude setup-token` does the OAuth, but it is a terminal program: given plain pipes it writes nothing at all and waits. Measured, not assumed. The same command produced zero bytes on a pipe and four kilobytes under a pty. It also needs Anthropic's CLI, which a non-technical person is never going to be told to install. They don't have to: the Claude Agent SDK ships a self-contained binary inside the Python package, so the harness image OpenBot already pulls carries a working CLI. The sign-in runs there, in a throwaway container, and the machine needs no Node, no npm and no CLI of its own. Running in a container is also why the code is pasted rather than redirected. The CLI's callback server is unreachable from a browser outside the container, so it falls back to printing a code, which Anthropic documents for exactly this case. The URL is read from the OSC-8 hyperlink and not from the text beside it. The CLI prints it twice: once as the link target, intact, and once as display text with the terminal's line breaks spliced into the query string. The visible copy opens and then fails on a mangled state, which is a bug that looks like Anthropic's rather than ours. Engine addressing goes through Address::parts so a Podman machine named everywhere else is named here too. Both parsers are pure and tested, the must-not case included: an API key is never taken for a plan token, since it outranks one and would bill somebody who just signed in. OpenAI offers a key only for now, and its summary says so. Its plan login is proved and belongs here as the default, but it is not wired to a command, and a button that cannot finish is worse than one that is absent.
They were built by the release for nothing: not listed, so nothing pushed them, and a desktop install would have had to build each one from source with a toolchain it does not have. The list and the Dockerfiles in the tree now agree, which is what the CI check asserts. Verified on amd64 as well as arm64 for the Claude Agent SDK harness, the one that matters most: it carries a self-contained CLI binary that differs per architecture, and the sign-in flow runs it. That binary is 216 MB, so this image is large by the standards of the others. Worth knowing before it is pulled on a first run.
A ChatGPT plan is not the compatible shape, which is what the previous mapping assumed. A plan token is a bearer for chatgpt.com/backend-api/codex, and langchain-openai pins that address and refuses a caller-supplied one on purpose, so a token cannot be aimed at somebody else's server and handed over. Writing it as OPENAI_BASE_URL plus a key would have been us hand-rolling the thing that guard exists to prevent, and the Codex path shapes its requests differently, so it would not have worked. So it is its own credential. It clears OPENAI_API_KEY and OPENAI_BASE_URL for the same reason the Claude plan clears its key: whichever is left from an earlier attempt is preferred by every client in the stack, and the person who just signed in to a plan is billed per request instead. OpenAI offers a plan again, and first. It was reduced to a key on the incorrect reading that the login was unwired; OpenAI supports subscription OAuth in other people's tools, `codex login` exists for it, and of the two named providers it is the better supported. Also fixes a bug that cost a live sign-in. The CLI positions each word with a cursor-column escape rather than a space, so stripping escapes leaves "Pastecodehereifprompted" and a match on the phrase as written never fired: the code was handed over and the flow sat in the wrong wait until it timed out, with the prompt on screen throughout. The comparison now ignores whitespace, and the test uses the shape the CLI actually writes rather than one with spaces in it, which is what passed while the bug shipped.
`remote_mastra` went into the types and the runtime without going into the database. The enum was still built_in and remote_ag_ui, so a Mastra Bot compiled, passed its tests, and could not be written: the row was rejected at the one point nothing covered. Migration 0028 adds the value. Duplicating one kept the same shape of mistake. `runForDuplicate` wrote every endpoint-carrying source as remote_ag_ui, so a copy of a Mastra Bot would hold the right address and be unable to say anything to it: that endpoint has no AG-UI route, so the Bot appears, accepts a grant and answers nothing. The copy is now dialled the way the original was, and carries the agent it named, because a Mastra endpoint is a roster and a copy that forgets the name gets a different agent or none.
Bots come from the tenant package, so a kind the package cannot express is a kind a deployment cannot start with. `agents.yaml` took built-in and remote-ag-ui only, which is the third place `remote_mastra` was missing after the types and the database. `remote_agent_id` comes with it, because a Mastra endpoint is a roster: a seeded Bot that cannot name which agent it means is as specific as one added by hand, and no more. It is Mastra's field alone, so an AG-UI Bot does not pick it up and store something that reads back meaning nothing. The refusal names all three kinds rather than the two it used to.
The sign-in never worked and reported that the code was refused, when the code had never been read. Two bugs, both in how the prompt was answered. Enter on a terminal is a carriage return, and a TUI reading a pty in raw mode takes that rather than a line feed. And the return has to arrive on its own, after a pause: the CLI turns on bracketed paste and a code arrives as one burst, so a 32-character code with the return in the same write submitted fine while a 92-character one did not. It sat in the prompt, masked, until the wait expired. Found by dumping the transcript, which is what the sign-in now writes when OPENBOT_SIGNIN_TRANSCRIPT names a file. Off by default and never in a build somebody installs, because the transcript can hold the token: the case worth looking at is a token printed in a shape the scan missed, which is exactly the case where the file is a live credential. A refused code is also its own answer now. The CLI prints `OAuth error: …` and offers to retry, so there is nothing further to wait for, and waiting out the timeout to then say something vague is how the first bug stayed hidden. Verified at the real code length before asking anybody to sign in again: a 92-character code now comes back refused rather than silently ignored.
Every one of the twelve was wrong. The catalogue derived image names from the row's id and the release derives them from the directory holding the Dockerfile, so the picker named `openbot-harness-crewai` against a published `openbot-agent-crewai`, and named it wrong twice for the four rows whose id is not their folder. Nothing caught it: a wrong image name is correct Rust, and it fails at the pull, on somebody's first run, with nothing on screen to say why. The directory is given per row now rather than derived, and a test reads .github/published-images.json — the same file CI checks against the tree — so the picker, the tests and the release agree or it fails here. Each row also carries the port its image listens on, which is fixed by that image's Dockerfile and differs per harness. The service that runs the picked harness has to be told, and the endpoint its Bot is registered at is built from it. Two more tests: an image without a port is a row that cannot be run, and two harnesses sharing a port would be one service that cannot serve both.
Picking a harness did nothing: the picker was cosmetic, and nothing in the product turned a choice into a Bot. There is no create endpoint to call for this — Bots come from the tenant package — so the choice becomes settings and seeding does the registration. Nothing new had to be built to make a Bot appear. agents.yaml carries two gated rows, one per way of dialling, and at most one ever exists: the loader drops a Bot whose endpoint interpolates to nothing, and the shell writes exactly one of the two addresses. Two rows rather than one because the kind cannot be interpolated, and a Mastra server has no AG-UI route to talk to. A test holds that both are never written, since both would register the same harness twice, once as a kind that cannot reach it. One compose service runs whichever was picked, with its image and port from .env, because a picked harness is a choice and not twelve branches in that file. Behind a profile: unset, the image is a request to pull the empty string, which fails the whole `up` rather than the one service nobody asked for. Addressed on loopback rather than by service name, because the server is a host process here and reaches agent-bot the same way. The window sends the id alone. The image, the port and the kind are facts about the harness, and sending them would be a second list to keep in step with the catalogue.
…t found Driven end to end on macOS against a real v0.0.8 deployment: deployment fetched, .env composed, containers raised including the harness service, migrations applied, host processes started, both loopbacks answering, the Bot registered in the database, and the Bot answering a real question over AG-UI. Once with an OpenAI key on CrewAI, once with a Claude plan on the Claude Agent SDK and no API key present at all. Four things that only showed up by running it. The package cannot carry a literal remote-mastra row. The loader refuses an unknown agent.type by refusing the whole file, so a v0.0.8 deployment failed to start at all — picked or not. The kind is interpolated now, which also collapses two gated rows into one: an older server sees remote-ag-ui and loads normally unless somebody actually picks Mastra. Ports were only pre-checked for the two host processes, and that check runs after the containers. Any collision on a container port surfaced as "Bind for 0.0.0.0:4202 failed: port is already allocated" straight from the daemon. Every published port is checked before anything is raised, and names what uses it. Switching provider left the last one's key behind. A run that signed in to a Claude plan still carried the OPENAI_API_KEY from the run before it, and the harness was handed both; whichever a client reads first decides what somebody is billed for. Answering the model screen now clears the keys that answer does not imply. Answering nothing still touches nothing, so a key set by hand is kept. Harness resolution is out of start_stack and tested, because its refusals are real states: an id from a window left open across a downgrade, and the row that installs nothing because the person brings their own address.
…ssion Three problems, all of them the same problem: this window is the product's handshake and it read like a form. There was no welcome screen, so the first thing anybody saw was a question. There is one now, and it says what OpenBot is in two lines. The Bot screen asked a non-technical person to choose between twelve agent frameworks, which is a decision they cannot inform, at the point where people leave. David's call: use the default, say so, and put the list behind a disclosure that names the only person it is for. The framework is never named on the main path, because the name means nothing to the reader and inviting them to weigh it is the whole mistake. A developer opens it and picks; nobody else learns the word. The look is measured from the interface this sits beside rather than guessed: a warm off-white ground, near-black text, warm-tinted hairlines at 4-8% rather than cool gray, 12px rows and one 16px focal card. That warmth is most of why the reference reads calm instead of clinical. xAI's own face is not shipped; Inter and the system stack are what a window with no network can rely on. Light is pinned here and nowhere else. This screen exists for five minutes before it becomes OpenBot, and the app it hands over to keeps its own light and dark. Following the system instead would mean half of all installers see a variant nobody composed against a reference. Also a step indicator, one authored entrance rather than scattered motion, and no coloured side border on the error card.
`localhost` does not resolve the same way on every operating system or runtime: Node takes it to `::1` and bun to `127.0.0.1`. So a name reaches a different interface depending on what started the process, and a service that is listening looks like one that is not. `stack.rs` already probes both numerically for exactly this reason; the rest of the tree did not. Swept and fixed everywhere something dials or advertises an address: the setup window's fallback URL, the supervisor's default host for a Bot's computer, the tool endpoint the LangGraph Bot calls back on, and the lines every service prints on startup. TRUSTED_ORIGINS was the same bug pointing the other way. It defaulted to `localhost` alone, which refused a browser pointed at `127.0.0.1:3010` — the address the rest of the deployment hands out. It lists all three spellings now, because an allowlist has to match what a browser sends rather than what we would prefer it typed. Three uses stay, each a string somebody else compares rather than an address we reach: that allowlist, the SSRF denylist that must keep matching the name or be bypassed by it, and OpenAI's registered OAuth redirect. Each says which it is, so the next sweep does not "fix" it. Also adds the ChatGPT plan sign-in, and it needed both of those facts. The vendor's login refuses a non-loopback callback by design, and a published Docker port cannot reach a loopback listener inside a container, so the login keeps its bind and a relay forwards a published port into it. The callback host is left at the library's default because OpenAI compares the redirect URI as a string and has `localhost` registered: passing the numeric literal fails the authorize request with `unknown_error` before a login page is drawn. Measured twice before the cause was obvious, and pinned by a test.
The plan was offered on the model screen and had no command behind it. It has one now, and it is not the Claude flow with the names changed. Anthropic's CLI wants a code typed at a prompt, which is why that half needs a terminal and shows a field. This login finishes itself when the browser redirect reaches its callback, so nothing is typed, no pty is needed, and the screen shows a wait instead. A code box for a flow that never produces one is how somebody decides the product is broken. Two facts it took running to find. The vendor's login refuses a non-loopback callback host on purpose, and a published Docker port cannot reach a loopback listener inside a container, so the login keeps its bind and a relay forwards a published port into it. And the callback host is left at the library's default: OpenAI compares the redirect URI as a string and has `localhost` registered, so passing the numeric literal — the same address — fails the authorize request with `unknown_error` before a login page is drawn. Both loopbacks are published, because a browser resolving that registered name may pick either family and which one is not ours to decide. Proven as far as it can be without entering somebody's password: the relay carries the callback, and OpenAI accepts the authorize request and serves its login page. The step after that is a credential, so it stays with the person.
Driving the window found three things no test had.
The picked harness answered 401 to everything. It was registered,
addressable and routed to, but the deployment's token was attached by
matching one endpoint exactly, so only the Bot in the box got it. The picked
harness is the same kind of thing: a container this deployment started, on a
port it chose, holding the token it generated. Both endpoints get it now.
And the comparison is slash-insensitive, because `URL` adds a trailing slash
and a stored address need not have one. `new URL("http://127.0.0.1:4206")`
stringifies with a slash while the row says none, so an exact match failed
silently. The endpoint with a path matched only because a path suppresses the
slash, which is why one endpoint worked and the second could not.
Extracting the harness resolution had dropped the image's version tag, so the
name reached `.env` bare. An engine reads that as `:latest`, which no release
publishes, and `compose up` failed with a registry error about a repository
that does exist — at the last step, after everything else had succeeded. A
test now asserts every resolved image carries its tag.
Failures are two-register everywhere. A person gets a sentence about their
situation; whoever is debugging gets the output verbatim, behind a
disclosure. One string could not serve both, which is how "pull access denied
for openbot-agent-langgraph-agui, repository does not exist or may require
'docker login'" became the headline on a setup screen. The sentence is chosen
from what the engine actually said, and anything unrecognised stays general
rather than guessing about somebody's machine.
The last screen asked for an "Intelligence project key", and the only way to produce one was `npx copilotkit login` followed by `copilotkit project select`. Two commands, a terminal and a package manager, for somebody whose whole relationship with this product is a window their IT department sent them. The audience rule calls that a defect, and it was the largest one left. The flow is the CLI's own, done here instead: a loopback callback on 127.0.0.1 and an ephemeral port, the browser sent to the hosted sign-in page, the token that comes back exchanged for a session, the session exchanged for a product credential, and the person's projects listed with it. Read out of the published CLI rather than invented. The endpoints, the parameter names and the order belong to whoever changes them, and guessing at somebody else's auth is how this breaks quietly six months from now. The state is checked before the token is used for anything. Anything on this machine can reach a loopback port, so without that a page in any tab could finish a sign-in nobody asked for. The project list is read tolerantly and that is deliberate: it is somebody else's API, the response has been a bare array and a wrapped object at different times, and a setup screen showing nothing because a wrapper changed is worse than one showing a list.
Managed CopilotKit is the main path and now signs in from the window: the browser goes to the hosted page, the token comes back on a loopback callback, and OpenBot provisions a key for the project the person picks. They never see a terminal. Somebody running their own Intelligence has a key this sign-in knows nothing about, so the field stays and moves down beside the addresses it belongs with. Sign in on the main path, paste on the developer one, which is the same shape the model screen already has. The third case is a company running Intelligence on its own network with OpenBot on everybody's laptop, and it is written down rather than built because it is two things rather than one. Google, Microsoft and Okta already sign people in to OpenBot itself; Intelligence is reached with a key belonging to the deployment rather than to a person. So the employee's sign-in and the deployment's key are separate problems, and the install should end up asking an employee for neither. That needs settings arriving from an administrator rather than from the person, which does not exist yet, and the desktop install currently runs as a dev actor and never signs anybody in at all.
…han a token A plan token is a bearer for chatgpt.com/backend-api/codex, and langchain-openai pins that address on purpose, so it cannot be reached by pointing OPENAI_BASE_URL at it with the token as a key. The harness now picks the Codex chat model when a plan is present, so the default Bot can actually answer on a subscription. Carrying the access token alone was wrong: it expires within the hour and nothing can renew it, which would give a Bot that works in the morning and fails after lunch with an auth error nobody could account for. The sign-in now hands back the vendor's whole store, the store is written beside the .env as an owner-only file, and compose bind-mounts it read-write so the renewals the provider makes outlast the container. The .env gets a path, never the credential. The file is written even when no plan was chosen, because a bind mount with no source does not fail, it silently creates a directory in its place.
A machine that ran the version before this one has a ChatGPT plan token sitting in its .env that nothing reads any more. The writer preserves lines it does not own, so it would stay there indefinitely. Clearing it costs one line and is the same reasoning the other model keys are emptied for.
Every step before this proves that something started, which is not the same as proving the choices work. A refused key, a lapsed plan or a model the account cannot use all give a stack that comes up clean and a Bot that cannot answer, and handing over at that point means somebody finds out later, inside the product, with no idea which of their answers caused it. So the wizard now ends on a question with one checkable answer, and the handover waits for it. This screen also owns the worst message in the product. Measured against a deliberately invalid key: the stream opens, says RUN_STARTED, says STEP_STARTED and then simply stops, with no error event at all, because the framework caught its own exception and logged it. The whole 401 lives in the container's log and nowhere else. So a run that produces no text is a failure here rather than an empty answer, the sentence shown is OpenBot's own and names the choice to change, and the harness's log is fetched to fill the developer half, since otherwise there would be no developer half to show. Two live tests are kept and ignored by default. The fixtures are transcriptions of a real stream, and a vendor changing the events they emit should break something.
The .env is a settings file, and a settings file is something somebody opens, reads out to support or pastes into a chat. A model key, a plan token and the tokens these services prove themselves to each other with are not settings. They now go to the credential store each platform actually has: the login Keychain on macOS through security, DPAPI on Windows through ProtectedData encrypting to the signed-in user, and an owner-only file on Linux, which is said out loud rather than dressed up, because no desktop Linux install can be assumed to run a Secret Service daemon and refusing to save a credential because gnome-keyring is missing would fail more people than it protects. The value never goes on a command line on any of them. ps is readable by every process the person runs, so the Keychain and DPAPI paths both write over stdin. From the store the credentials travel to the containers and the host processes as environment. Compose resolves an interpolation from its own environment before it reads the .env, so a secret reaches exactly the services that declare it and is written down nowhere. Verified against a real deployment: a .env with no token, the token in the environment, and the container holding it. The writer also purges what it moved. Without that, every machine that ran an earlier version would keep its old plaintext copy exactly where it was and the change would have bought nothing for anybody who already had OpenBot.
Three buttons asked for `secondary`, which no rule matches, so Stop OpenBot has been rendering identically to Show OpenBot and the new last screen offered two equally weighted actions. The stylesheet's quiet button is what they meant. Found by looking at the screen rather than at the markup, which is the only way a missing class shows up: nothing errors, the button just draws as the primary.
…ity command The `security` command takes its password through a prompt whose buffer is 128 bytes, and anything longer is cut off with no error and an exit status of zero. Probed a length at a time: 128 stores 128, 129 stores 128, 200 stores 128. An OpenAI project key is 164 characters. Every one of them was being saved truncated and read back truncated on the next run, while the run that saved it worked fine, because the value it used came straight from the window. The next launch would have been the broken one, with a key nobody had changed. No flag raises that buffer, and the only ways past the prompt put the credential on a command line where ps can read it. The framework has neither limit, and the Windows and Linux paths never had one, so this is one platform's dependency rather than a cross-platform crate and twenty transitive packages. Round-tripped against the real Keychain at 128, 129, 164, 256 and 512.
KEY_ENCRYPTION_KEY is what every secret the server stores goes through, and encrypt-sso-config.ts names the symptom itself: a changed key leaves stored configuration unreadable and sign-in broken until it is registered again. The shell minted a new one on every press of Start, so a button labelled Start silently orphaned everything the previous run had encrypted. The rest of the generated secrets point the same way for a smaller reason: a Bot's computer is a container that outlives a restart holding the old COMPUTER_TOKEN, so rotating buys nothing and can only strand it. Two installs still do not share a key. A machine with nothing stored generates, which is what a first run is. Verified across a real Stop and Start: the token the second run handed its containers is the one the first run minted.
Two halves of one dead end, both found by pressing the buttons. Stop left agent-harness running. Compose only acts on a profiled service when the profile is named, so the one container the person actually chose stayed up on their laptop after they had stopped the app, still holding its port. Then the next Start refused: "something is already listening on port 4206, which OpenBot uses for the Bot you picked" — about a container OpenBot itself had started, which the person never saw and could not find. There was no way forward from that screen. A port this deployment already publishes is not a stranger on the port, and compose up reuses what is there, so the check now skips our own and keeps its teeth for somebody else's. Host processes are reclaimed for the same reason: a start that got as far as spawning the server and then stopped left it holding 3001, and they are identified by working directory, so anything stopped belongs to this deployment and no other. Verified in the window: Stop leaves nothing running, and a Start with our own container on the port goes straight through.
Four things, all found by signing in through the window rather than testing the pieces. The login program is rendered by substituting placeholders, and renaming the marker to OPENBOT_CHATGPT_STORE made the marker contain the STORE placeholder. Rendering rewrote the program's own print line into a syntax error, so the container died before printing anything and the window said "the sign-in never offered a link to open" — a sentence with no relation to its cause. The placeholders are underscored now and the test reads the rendered program rather than the template, which is where it broke. That failure also had no technical half, so there was nothing to diagnose it with. It carries the container's output now, with the store line stripped. The window rendered a failure with String(error), which for a two-fold problem prints [object Object]. There is one failure component now and every screen uses it. And the last screen swallowed its own failure entirely: it recorded that something went wrong and threw the problem away, believing the screen around it would show the sentence. Nothing did. A plan that could not answer produced a "Change the model" button and no words at all — the exact silence that screen exists to replace. Proven in the window: consent in the browser, the store written owner-only with its refresh token, mounted into the harness, and the Bot answering 17 x 23 = 391 through the Codex model with no OpenAI key in the container, the .env or the Keychain.
…end it Two defects that only the Anthropic path could show, both on the last screens a person sees. macOS routes the clipboard shortcuts through the menu bar, and this window had no Edit menu, so it had no Paste. Typing into the code field worked and pasting did nothing — on the one screen whose own instruction is "paste the code it shows you". Everybody signing in to a Claude plan would have reached that field, pressed the shortcut they have used all their life, and had nothing happen. Then, with the code in: a plan is not a key, and only one Bot speaks each vendor's subscription. Signing in to Claude and keeping the default Bot gave a stack that came up clean and a Bot whose log read "Missing credentials. Please pass an `api_key`". The person had answered both screens correctly and had no way to know which answer to change. The plan now re-points the Bot, and the model screen says which Bot that will be while there is still a screen to say it on. Nobody is asked to know that a subscription constrains the framework. Proven in the window on both plans: ChatGPT answers 17 x 23 = 391 through Codex with no OpenAI key present, and Claude answers 391 on the Claude Agent SDK with no Anthropic key present. The refusal of a stale code and the failure of a Bot that cannot answer both render with a plain sentence and the container's own log behind a disclosure.
… find Signing in from the window had never been run end to end. It failed four times in a row, each time silently or with a message that named nothing, and each fix was only findable because the failure started carrying what actually came back. The session is called `cliToken`, not `token`, so the very first exchange failed with "error decoding response body" and no way to tell which field or which endpoint. Failures here now carry the response, and that answered it in seconds. Project ids are numbers. Requiring a string dropped every project, and the screen said "That account has no projects yet" to somebody with ten of them. An empty list and an unreadable one are told apart now, because one of them is a lie a person cannot argue with. The keys endpoint declares `project_id: z.number()` with no coercion, so the string "7" came back HTTP 400 VALIDATION_ERROR on the last step of the flow. Read off `api-keys-routes.ts` rather than guessed. And the project tiles rendered as blank white rectangles: `button` sets a white colour, `.tile` overrode the background to white and not the colour, and the provider rows escaped it only because they are labels. Nothing errored. The screen asked somebody to choose between six empty boxes. A shown body is masked, because the one that diagnosed the first bug also carried a live session token, and the shape is what a developer needs from it. Proven in the window: sign in, choose an organisation, ten projects listed by name, one picked, a key created, "Connected to CopilotKit". No key typed.
The compatible row is the only one that names a model, and switching away from it kept the name. Answering with an OpenAI key after using a local endpoint left BOT_MODEL=local-model, so the Bot asked OpenAI for a model only that person's own server has, and the last screen said "That account cannot use the model that was chosen" about a model this run never chose. Exactly the failure the key-clearing exists for, with one key missed. It is removed rather than emptied so the compose default applies, and taken out of the file as well, because the writer keeps lines it does not own and that is what let it survive. Found on a full pass through the window, in the first path.
…ndow Clicking a conversation in the rail drew the coworker's name and then nothing at all. The rail comes from OpenBot's own database, so a channel is listed whatever the history store says; the messages live in the Intelligence project, and pointing a deployment at a different project leaves the platform answering THREAD_NOT_FOUND. That 404 is deliberately read as "no history" and must stay that way: a thread id is minted before the thread exists, so a brand-new conversation 404s as its normal opening move. Widening it would tell somebody their conversation was gone and invite them to start it over. The two cases are told apart by a fact the app already stores. lastMessageAt is set only once something has been said, so a conversation with none is genuinely new and silence is correct, while one that has been spoken in and comes back empty has a history this deployment cannot reach. That one now says so, in the notice slot beside the existing explanations for a deleted coworker and for turns that could not be parsed. The channel DTO carries lastMessageAt for it, which the shape tests pin, plus a new test that the date leaves as a string and leaves at all.
…et one Setup ended at "Install Podman Desktop or Docker Desktop first" on any machine that had neither, which is every machine this app is for. The step existed in the enum with nothing behind it and the screens had been reworded to stop promising it. So the whole install stopped at a download page. It installs one now, and the second half is the half that gets forgotten: Podman ships no Compose implementation, so a machine with a freshly installed Podman still cannot raise the stack and answers with seven errors naming docker-compose. Both are fetched, each pinned to the digest of the release it was tested against and refused if it does not match, because these are files this app then executes. Only what is missing is added: an engine somebody already has is theirs, and a Compose that already answers is left alone. Windows installs unattended. macOS and Linux each raise one authorization prompt, which is the platform's own and is not something to route around: the package writes to /opt/podman, and on Linux Podman is a set of binaries wired to the distribution's paths rather than one file to download. Two things were needed to make the result usable in the session that installed it. The MSI extends the USER's PATH, and this process was started with the old one, so podman could not be run for the rest of the run: every engine command now names a resolved path, found on PATH first and in the installers' own locations second. And the Compose provider is put in front of the child's PATH rather than written into containers.conf, which belongs to whoever else may have configured it. Measured on Windows Server 2022, which is also where the recovery came from: a Podman removed by deleting its folder leaves the registration behind, so /i becomes a repair with no source and stops with 1603. That case uninstalls and installs cleanly instead of reporting a failure somebody cannot act on. Image references now come from the release's manifest wherever the shell runs a container itself, not only where Compose does. This is the same bug a third time: first the names were built from the ids and matched nothing published, then the version stopped being appended so an engine read the bare name as :latest, and now openbot-agent-langgraph-agui:v0.0.8 was resolved to docker.io/library/... and the person was told access was denied, which reads as a credentials problem for a repository that was never pushed. No reference is built here at all any more, and an image this release does not include is named as that. Both plan sign-ins set the engine up rather than refusing. They run in a container, and "No container engine is answering, so the sign-in cannot run" named an obstacle and no way past it, on a screen whose whole purpose is to put one there. One function does it for Start and for both of them. A setup step that stops now carries both registers. podman machine init failing is exactly the case the two-part failure was written for, and it was the last place still putting an engine's own words in front of somebody as the headline.
The compatible row refused to continue without an API key, and its own summary names Ollama and vLLM. Neither has one. So the two examples the screen offers by name were the two it would not accept, and the way out was to invent a key and hope the endpoint ignored it. An address and a model name are what that row needs. The Rust side already treated the key as optional and writes OPENAI_API_KEY only when it is given, so the refusal lived entirely in the screen. The field says what it is now rather than leaving somebody to find out by being stuck. A failure also belongs to the row that produced it. A refused OpenAI sign-in stayed on screen after switching to the endpoint row, underneath the address just typed, where it read as a complaint about that address. Found by driving the screen on Windows.
Making the compatible-endpoint row accept a blank key fixed one end of that feature and exposed the other. Both bundled Bots refuse to start without OPENAI_API_KEY, so somebody who filled in an address for an Ollama or a vLLM got two dead containers complaining about a key their own server does not have. The row's summary names Ollama and vLLM by name; they were the two cases it would not serve. A base URL is a model, and its key belongs to it. Set, it means any endpoint speaking that API, which is what the variable's own comment has always said, so the startup check now asks for a key only when nothing else was named. Plain OpenAI still refuses without one, which is the case the check was written for, and the other two providers have no base URL to be named by so neither changes. The SDK insists on a string even when the endpoint ignores it, so a named endpoint with no key is handed a placeholder rather than a client that cannot be constructed. The decision is a module in each Bot rather than a condition at module scope, because index.ts serves as it loads and a test cannot import it without binding a port. Same reason model-options.ts exists. Also the model name now reaches the bundled Bot. docker-compose.yml reads AGENT_BOT_MODEL for agent-bot, not BOT_MODEL, so that a model chosen for the framework Bot cannot silently take its tools away: that Bot writes /v1/chat/completions by hand and gpt-5.6-* rejects function tools there. The reasoning is about OpenAI's own catalogue and does not survive a custom endpoint, where the pin asked the person's own server for a gpt-5.5 it has never heard of. The name they typed is written to both, and cleared from both when they answer with something that names no model.
The Bots no longer demand a key when a base URL names the endpoint, but a Bot image published before they learned that still does, and a deployment pulls the image the release pinned. So the keyless half of the compatible row would have stayed broken until the next release, on every machine. The OpenAI SDK every Bot is built on refuses to construct a client without a string, which is the whole reason a blank key kills them. Ollama, vLLM, LM Studio and llama.cpp all ignore the value, so a placeholder is sent instead of nothing and the endpoint that does not read it is none the wiser. Never treated as a credential: it is written in plain sight rather than put in the machine's store, because it is not one. A key somebody actually typed is used unchanged.
"Show OpenBot" did nothing on a machine where the stack was up. The window said OpenBot is running, the button was there, and clicking it had no effect at all. Two faults, one behind the other. The app host process was dead. It is started through the package's `serve` script, which ran `vite preview` through `bun --bun` so that a machine with bun and no Node could start it: `node_modules/.bin/vite` begins with a Node shebang. But Vite's proxy calls `socket.destroySoon()` when an upstream response ends, and bun's sockets do not implement it, so the process died with a TypeError on the FIRST call the app made. It served its page, exited, and nothing was listening on 3010 from then on. The shell went on reporting a stack that was up, because the containers were. So the app is served by a small server of its own now. It serves a directory and forwards one prefix, which is all an install needs; a development server was never the right thing to be running in an installed application, as the shell's own comment about this process already said. No Node, no Vite at runtime, and the websocket upgrade the live screen needs is forwarded rather than answered with HTML. A miss under /assets is still a 404 rather than the page, because handing a script tag some HTML fails in the console instead of the network panel. Paths are normalised and confined to the directory: the deployment's .env sits two levels above it. And the button now shows what it was told. `show_openbot` already answered with "OpenBot is not answering on port 3010 yet, so there is nothing to show", and the click handler dropped it with `.catch(() => undefined)`. A true sentence was available and the window threw it away, which is why this looked like a dead button rather than a dead process. The Ask screen's copy of the same call always showed it.
Both plan sign-ins keep the URL they were given and put it on screen, with a comment saying why: an open that silently does nothing, or a machine with no registered browser, leaves somebody watching a spinner with no idea where they are meant to go. The CopilotKit sign-in discarded it, so that case had no way out at all. Found while driving setup on a machine whose browser is not the one in front of the person.
Stop took the containers down, reported success, and left OpenBot serving. Measured on Windows Server 2022: after it, the server still answered on 3001, the worker was still up, and both halves of the app still answered 200 on 3010. Only the five containers had gone. The handles this window holds cover only what this window started, and they are gone the moment it restarts, so a window stopping a stack an earlier one started holds nothing. That is the case `stop_processes_under` exists for, and its Windows arm returned 0 with a comment saying the host processes end with the session. They do not. They are found by the ports the deployment publishes now, which the shell already owns and already checks for clashes, and each is ended with its children: `bun run serve` starts the real server as a grandchild, so ending the process holding the port would leave that one behind. Only the app's and the server's ports, because the containers are Compose's to stop and killing whatever holds a published container port reaches into the engine's own plumbing. Also, an unreadable app manifest is no longer reported as an old deployment. A byte-order mark in front of package.json made serde_json refuse it, and the refusal was rendered as "the deployment is older than this version of OpenBot", which sends somebody looking for a newer installer over three bytes. Windows tooling writes that mark freely: Set-Content -Encoding UTF8 does. It is skipped, and a manifest that genuinely will not parse says so.
The port sweep freed 3001 and 3010 and left the worker running. It listens on nothing, so a sweep cannot see it, and its command line is identical to the server's: both are `bun --env-file=../.env src/index.ts`, differing only by working directory, which Windows will not tell you cheaply. So the pids are written beside the logs when the processes start, and Stop reads them. That is also the honest fix for the case the sweep was standing in for: the handles a window holds die with the window, and everything else about a running stack survives it, so a restarted window Stopping a stack an earlier one started had nothing to work with. Now it has. The sweep stays as a second pass for a stack whose pid file is gone. The parse is its own function with a test on real netstat output, because reading five columns as four is what made the first attempt report success while leaving everything running: the foreign address was taken for the state and the state for the pid, so nothing ever matched.
Four Keychain dialogs, every time the setup screen mounted, each needing a click before the window would go on. Navigating between setup and OpenBot asked four more times. macOS authorizes every individual read of a stored password unless the application is signed with an identity the item's ACL already trusts. A development build is re-signed on every compile, so its ACL never matches and every read is a prompt; the wizard reads four secrets to arrive filled in, and it reads them on mount. The store is now asked once per name per process and the answer is held in memory. Absence is cached too, or a machine with no stored credential is asked on every mount for something that was never there. Writes go through the cache and forgetting clears it, so the two cannot disagree. This does not remove the prompts on a first run, and nothing in this process can: the decision belongs to the operating system and to the signature. A signed and notarised build is granted once and never asked again, which is the real fix and belongs to the release.
Three conflicts, each a place where both sides had solved the same problem. Minting the deployment's secrets. Both branches stopped a restart re-minting KEY_ENCRYPTION_KEY and orphaning everything encrypted under the old one; main's is the better half and is kept, including its judgement that a value copied out of .env.example is present and must still be replaced. This branch's part stays too, because it moved those secrets into the machine's credential store, so what a previous start minted is read from there rather than from the file main reads. One list now, MINTED, where there were two. The audit initiator main threads into a stalled remote Bot's report. This branch had extracted that agent's construction into `remoteTransport` so a Mastra Bot could be built the same way, so the initiator follows it there rather than being dropped along with the inline construction it was written against. Migration 0028. Both branches took the number; main's audit_initiator is already applied elsewhere and does not move, so the Mastra enum value is regenerated as 0029 against main's snapshot rather than renumbered by hand. One of main's compose assertions counted two Bots reading OPENAI_BASE_URL. There are three: the harness somebody picks in setup is dialled the same way, and leaving it out would point the Bot they actually chose at OpenAI while the two shipped ones went to their gateway. Verified on the merged tree: 203 Rust tests, 2595 of the repo's, typecheck and lint clean. The one remaining failure, a payload shape in plugin-store.integration.test.ts, fails the same way on a clean checkout of main.
CI builds on Linux with `-D warnings`, and there `SERVICE` is dead: only macOS has a service name to file a password under. Windows keys its DPAPI blobs by filename and the Linux fallback is a file in the config directory, so both ignored it. macOS never noticed, because there it is used three times.
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I recommend changes before merging. This review covers commit The findings below separate observed results from conditional consequences. Python requirements are unpinned; version-dependent results refer to the exact versions tested, not every possible future image. The missing release images already disclosed in the PR are not counted as another finding. 1. [P1] Persist migrated secrets before purging During migration, 2. [P1] Verify ownership before terminating Windows listeners. Changed code The recovery sweep treats listeners on ports 3001/3010 as OpenBot and runs 3. [P1] Download deployment metadata before resolving the selected harness. Changed code A clean API-key setup calls 4. [P1] Normalize an unused OpenAI base URL before constructing Python clients. Changed code An ordinary OpenAI-key choice leaves Compose injecting 5. [P1] Carry the Anthropic API-key choice through provider/model configuration. Changed code With the default LangGraph selection, Anthropic → API key emits 6. [P1] Mount the ChatGPT token-store directory so refresh can replace the file. Changed code The single-file bind mount makes 7. [P1] Register the actual Agno and LlamaIndex run routes. Changed code Generated endpoints use the server root, while Agno's adapter exposes 8. [P1] Apply managed and vault authentication to Mastra rows. Changed code Both credential branches only accept 9. [P1] Preserve OpenBot middleware when Mastra agents are cloned. Changed code CopilotKit clones the registered agent for HTTP runs. 10. [P2] Translate standing-role and OpenBot context into Mastra's wire format. Changed code Even the original, un-cloned wrapped agent loses system messages and OpenBot-specific 11. [P2] Preserve the leading standing-role message in CrewAI. Changed code The AG-UI CrewAI 0.3.0 adapter ( 12. [P1] Use Mastra's transport for the mandatory first question. Changed code
13. [P2] Scope saved and pending plan credentials to their provider. Changed code After ChatGPT sign-in, switching the row to Claude retains the shared token. The UI immediately reports sign-in complete and submits the ChatGPT store as a Claude credential without performing Claude sign-in. Reset or scope both the token and pending completion when the provider changes. This transition reproduces with actual React 19.2.8 rendering and synthetic IPC; React's state-preservation rules explain why changing the row does not reset shared component state. The reverse transition also reproduces in the earlier mocked-hook probe. 14. [P2] Make “Change the model” reach the picker after Ask fails. Changed code The action changes 15. [P2] Provide retry/refresh when Intelligence returns no projects. Changed code An empty 16. [P2] Restore persisted plan sessions on a fresh setup mount. Changed code
17. [P2] Collect and use an endpoint for “An agent you already run.” Changed code The row promises an agent address and AG-UI check, but no screen collects that address. With an API-key/compatible-endpoint choice, 18. [P2] Forward session headers when proxying WebSockets. Changed code The replacement app server creates the upstream socket using only a URL, dropping cookies/authorization. A synthetic upstream on Bun 1.3.14 receives the headers for HTTP but none for WebSocket. Separate execution of the actual session guard accepts the synthetic cookie and returns 401 without it; the connection between these boundaries is source-traced. Bun 1.3.14 supports client headers. This affects authenticated configurations using 19. [P2] Distinguish failed history retrieval from a changed project. Changed code The new notice infers a project change from a used channel with no restored messages. The actual history reader also produces empty messages for HTTP 500, network failures, and unreadable history. When the join also supplies no messages, an outage can therefore receive that diagnosis. Fetch's response/error semantics corroborate the distinction, while the actual reader probes establish that it is discarded here. Preserve the retrieval result or use neutral unavailable-history wording. This is a false diagnostic; no evidence shows that the notice itself deletes history or resets the thread. Validation: 203 Rust library tests passed (4 live credential/store tests ignored), and 268 focused Bun tests passed during the original review. The web-validation pass additionally rechecked dependency artifacts and reran targeted synthetic reproductions, including real React rendering. Existing CI jobs passed at this commit; image/component-Dockerfile jobs were skipped. No full installer journey, real credential-store denial, real Windows termination, or live OAuth/model call was performed for this review. |
Setup, end to end: pick a Bot, connect a model, and prove it answers before the window hands over.
Twelve harnesses in the picker, each dialled through the package its own maintainers publish. Four ways to connect a model: a ChatGPT plan, a Claude plan, a key, or any OpenAI-compatible endpoint. Credentials live in the machine's own store rather than in
.env. The install ends with a question the Bot has to answer, because a setup that reports success and leaves somebody with a Bot that cannot reply has proved nothing.What this needed along the way
Every one of these was found by driving the window rather than by reading the code, and each is its own commit with the failure written down.
Nothing installed the engine. Setup ended at "Install Podman Desktop or Docker Desktop first" on any machine that had neither, which is every machine this is for. It installs Podman and Compose now, each pinned to the digest it was tested against and refused if it does not match, and it recovers from a Podman removed by deleting its folder. Podman ships no Compose, so both halves are needed or a fresh install still cannot raise the stack.
Image references were unqualified, so every engine resolved them against Docker Hub and reported a permissions error for a repository that had never been pushed. Nothing is built from a version now: references come from the release's own manifest, and an image a release does not include is named as that. That was this bug's third form, so the guard now checks for a registry.
The compatible-endpoint row demanded a key while its own summary names Ollama and vLLM, which have none. Both bundled Bots then exited at startup without one, which was the other end of the same feature. A base URL is a model now, and a placeholder is sent to endpoints that read no key so this works against Bot images already published.
The app host process died on its first API call.
serveranvite previewthroughbun --bun, and Vite's proxy callssocket.destroySoon(), which bun does not implement. It served its page, exited, and the window went on saying OpenBot was running with nothing on the port. The app has its own small server now: no Vite at runtime, no Node, websocket upgrades forwarded, paths confined to the directory.Stop did not stop OpenBot on Windows. The containers went down, success was reported, and the server, the worker and both halves of the app kept serving. The handles a window holds die with the window, and the Windows arm of the fallback returned 0. Host pids are recorded beside the logs now and ended with their children.
Four Keychain dialogs per screen mount. macOS authorizes each read of a stored password separately unless the build's signature is one the item already trusts, and a development build's never is. The store is asked once per name per run.
Also: both plan sign-ins set the engine up rather than refusing; a conversation whose thread this deployment cannot reach says so instead of drawing a blank window; a failure carries a sentence for the person and the real output behind a disclosure, everywhere.
Known, and not in this branch
The twelve Bot images and the two sign-in images are not in any release, so the picker cannot be satisfied until one carries them. Driven on Windows, that is reported as "This version of OpenBot does not include the Bot you picked", and the route through it is the bring-your-own-address row.
The sign-in takes the token's default organization with no way to choose one, so somebody in several can land in the wrong one and be told they have no projects.
A channel whose thread was minted under a different project still dead-ends on the write path: creating it conflicts and fetching it 404s. The window already says a fresh history starts; the remap that would deliver it is not built yet.
Verified
Driven point-and-click on macOS and on Windows Server 2022, on a box stripped back to no container engine at all. On Windows: the engine installed itself, five containers came up healthy, migrations applied, the Bot answered "17 × 23 = 391", OpenBot itself loaded, a message sent from the app rendered, and clicking a conversation in the rail opened it. 187 Rust tests, and the netstat parser's test run natively on Windows because reading five columns as four is what made the first attempt at Stop report success while leaving everything running.