Files
browser/src/agent/Agent.zig
Adrià Arrufat 3b2956c400 schema: simplify initialization and parsing
- Use global schemas built once at startup instead of parsing on init.
- Simplify argument verification using `browser_tools.parseArgs`.
- Optimize `parseValue` with `std.ArrayList`.
- Panic on global schema parse failure since schemas are static.
2026-05-21 22:17:21 +02:00

1399 lines
57 KiB
Zig

// Copyright (C) 2023-2026 Lightpanda (Selecy SAS)
//
// Francis Bouvier <francis@lightpanda.io>
// Pierre Tachoire <pierre@lightpanda.io>
//
// This program is free software: you can redistribute it and/or modify
// it under the terms of the GNU Affero General Public License as
// published by the Free Software Foundation, either version 3 of the
// License, or (at your option) any later version.
//
// This program is distributed in the hope that it will be useful,
// but WITHOUT ANY WARRANTY; without even the implied warranty of
// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
// GNU Affero General Public License for more details.
//
// You should have received a copy of the GNU Affero General Public License
// along with this program. If not, see <https://www.gnu.org/licenses/>.
const std = @import("std");
const zenai = @import("zenai");
const lp = @import("lightpanda");
const browser_tools = lp.tools;
const log = lp.log;
const Config = lp.Config;
const script = lp.script;
const Command = lp.script.Command;
const Recorder = lp.script.Recorder;
const Verifier = lp.script.Verifier;
const Credentials = zenai.provider.Credentials;
const App = @import("../App.zig");
const CDPNode = @import("../cdp/Node.zig");
const Terminal = @import("Terminal.zig");
const CommandRunner = @import("CommandRunner.zig");
const SlashCommand = @import("SlashCommand.zig");
const Agent = @This();
/// Errors raised by Agent.init / listModels where the function has already
/// printed a human-readable message to stderr. Callers should exit non-zero
/// without further logging.
pub const UserError = error{
MissingApiKey,
MissingProvider,
ConflictingFlags,
AmbiguousProvider,
NotInteractive,
};
pub fn isUserError(err: anyerror) bool {
inline for (@typeInfo(UserError).error_set.?) |e| {
if (err == @field(anyerror, e.name)) return true;
}
return false;
}
const default_system_prompt = script.mcp_driver_guidance ++
\\
\\Agent-specific behavior:
\\- Call a tool for every browser action. NEVER claim you performed an
\\ action, visited a page, or saw content without the corresponding tool
\\ call. If a task needs a capability Lightpanda lacks (images, PDFs,
\\ audio), say so rather than improvising.
\\- Be decisive: prefer few well-chosen tool calls over probing. If
\\ extraction repeatedly fails or the site errors, commit to a best-
\\ effort answer instead of thrashing. An honest "the site blocked
\\ access" beats a fabricated answer.
\\- If the user asks for account-scoped data (karma, profile, inbox, …)
\\ and the page shows you're not signed in, log in proactively (dismiss
\\ cookie banner first, follow the Credentials section above) before
\\ reporting unavailable. Only fall back to "I couldn't access X" if no
\\ credentials are set, the form is missing, or login was rejected —
\\ and say which.
;
const self_heal_prompt_prefix =
\\A PandaScript command failed during replay. The command that failed was:
\\
;
const self_heal_prompt_page_state =
\\
\\The current page URL is:
\\
;
const self_heal_prompt_instructions =
\\
\\IMPORTANT:
\\- Do NOT navigate away from the current page. The page is already loaded and
\\ contains the element you need — the selector just needs to be fixed.
\\- Use the tree or interactiveElements tools WITHOUT a url parameter to inspect
\\ the current page, find the correct selector, and execute the equivalent action.
\\- If the action is blocked by a popup, cookie banner, or surprise modal,
\\ handle it first (e.g., click "Accept") before executing the fixed command.
\\- ONLY fix the failed command and handle immediate blockers. STOP immediately
\\ once the intent of the original command is achieved.
\\ The script will continue executing the remaining commands after the heal.
;
const login_prompt =
\\Find the login form on the current page. Fill in the credentials using
\\$LP_* placeholders — the substitution happens inside the Lightpanda
\\subprocess so the secret never enters your context. Do NOT call getEnv
\\with a credential name (it would return the value).
\\
\\Call getEnv with NO `name` argument first to see which LP_* variables
\\are set (names only, values never included). Then pick:
\\- Site-prefixed form (LP_<SITE>_<FIELD>) when the list shows one for
\\ the current site — e.g. $LP_HN_USERNAME for news.ycombinator.com,
\\ $LP_GH_TOKEN for github.com.
\\- Otherwise fall back to the unprefixed $LP_USERNAME / $LP_PASSWORD
\\ (or $LP_EMAIL) form.
\\
\\Handle any cookie banners or popups first, then submit the form by
\\clicking its submit button or pressing Enter in a filled field — there
\\is no dedicated submit tool.
;
const accept_cookies_prompt =
\\Find and dismiss the cookie consent banner on the current page.
\\Look for "Accept", "Accept All", "I agree", or similar buttons and click them.
;
const synthesis_prompt =
\\You have used your tool budget or cannot finish the exploration.
\\Give your best final answer NOW based ONLY on what you actually observed
\\via tool calls in this conversation. Do NOT fall back to prior knowledge —
\\if your snapshots show only cookie banners, 403/access-denied pages,
\\blocked search results, or empty bodies, say that explicitly
\\(e.g. "the page was blocked by a cookie wall and I could not extract X").
\\Do not invent details that are not visible in the tool outputs above.
\\Do not call any more tools.
\\Respond with ONLY the answer — one word, one number, one short phrase,
\\or a brief honest explanation of why the page could not be read.
\\No prefix, no markdown.
;
allocator: std.mem.Allocator,
ai_client: ?zenai.provider.Client,
notification: *lp.Notification,
browser: lp.Browser,
session: *lp.Session,
node_registry: CDPNode.Registry,
tool_schema_arena: std.heap.ArenaAllocator,
/// Provider-facing tool list, built from `SlashCommand.globalSchemas()`. The
/// slice lives in `tool_schema_arena`; the JSON `Value` each entry points at
/// lives in the schema module's process-lifetime arena.
tools: []const zenai.provider.Tool,
terminal: Terminal,
cmd_runner: CommandRunner,
verifier: Verifier,
recorder: ?Recorder,
messages: std.ArrayList(zenai.provider.Message),
message_arena: std.heap.ArenaAllocator,
model: []u8,
system_prompt: []const u8,
script_file: ?[]const u8,
self_heal: bool,
interactive: bool,
one_shot_task: ?[]const u8,
one_shot_attachments: ?[]const []const u8,
cancel_requested: std.atomic.Value(bool) = .init(false),
pub fn init(allocator: std.mem.Allocator, app: *App, opts: Config.Agent) !*Agent {
if (opts.task != null and opts.script_file != null) {
log.fatal(.app, "conflicting flags", .{
.hint = "--task runs a one-shot turn; drop the positional script or drop --task",
});
return error.ConflictingFlags;
}
if (opts.task != null and opts.interactive) {
log.fatal(.app, "conflicting flags", .{
.hint = "--task is one-shot and exits; drop --interactive or drop --task",
});
return error.ConflictingFlags;
}
if (opts.self_heal and opts.script_file == null) {
log.fatal(.app, "self-heal needs a script", .{
.hint = "--self-heal rewrites a recorded .lp on drift; pass a script path",
});
return error.ConflictingFlags;
}
if (opts.no_llm and opts.provider != null) {
log.warn(.app, "ignoring --provider", .{ .reason = "--no-llm takes precedence" });
}
if (opts.task == null and opts.attach.items.len > 0) {
log.warn(.app, "ignoring --attach", .{ .reason = "no --task; attachments are only consumed in one-shot mode" });
}
const is_one_shot = opts.task != null;
const will_repl = !is_one_shot and (opts.interactive or opts.script_file == null);
// Basic-mode REPL (no LLM) must be opted into via --no-llm. Without it,
// the REPL accepts natural language and an absent API key would only
// surface at the first non-PandaScript line — too late to be useful.
// Pure replay (`agent <script>.lp`) stays allowed: no REPL, no LLM needed.
const requires_llm = is_one_shot or opts.self_heal or opts.pick_model or (will_repl and !opts.no_llm);
// Skip resolve when --no-llm forces no client, or no mode could use one
// (pure replay) — otherwise resolve prints "No API key detected" for a
// run that does not need one.
const llm: ?Credentials = if (opts.no_llm or !requires_llm) null else try resolveCredentials(opts);
if (llm == null and requires_llm) {
if (opts.no_llm) {
std.debug.print("--no-llm forbids LLM use; drop it to run this mode.\n", .{});
} else if (opts.self_heal) {
std.debug.print("--self-heal needs an LLM — set an API key.\n", .{});
} else if (opts.pick_model) {
std.debug.print("--pick-model needs an LLM — set an API key.\n", .{});
}
return error.MissingProvider;
}
// Resolve model BEFORE the heavy init so --pick-model's prompt fires
// before browser / ai_client setup.
// Precedence: --model > --pick-model > defaultModel.
const model: []u8 = if (opts.model) |m|
try allocator.dupe(u8, m)
else if (llm) |l|
if (opts.pick_model) try pickModel(allocator, l, opts.base_url) else try allocator.dupe(u8, defaultModel(l.provider))
else
try allocator.dupe(u8, "");
errdefer allocator.free(model);
const notification: *lp.Notification = try .init(allocator);
errdefer notification.deinit();
const self = try allocator.create(Agent);
errdefer allocator.destroy(self);
const history_path: ?[:0]const u8 = if (will_repl) ".lp-history" else null;
// `-i <file>` means "replay then grow this file"; a script path alone is
// pure replay and must not be mutated.
const recorder_path: ?[]const u8 = if (opts.interactive) opts.script_file else null;
self.* = .{
.allocator = allocator,
.ai_client = null,
.notification = notification,
.browser = undefined,
.session = undefined,
.node_registry = CDPNode.Registry.init(allocator),
.tool_schema_arena = .init(allocator),
.tools = &.{},
.terminal = .init(allocator, history_path, Config.agentVerbosity(opts), will_repl),
.cmd_runner = undefined,
.verifier = undefined,
.recorder = null,
.messages = .empty,
.message_arena = .init(allocator),
.model = model,
.system_prompt = opts.system_prompt orelse default_system_prompt,
.script_file = opts.script_file,
.self_heal = opts.self_heal,
.interactive = opts.interactive,
.one_shot_task = opts.task,
.one_shot_attachments = if (opts.attach.items.len == 0) null else opts.attach.items,
};
errdefer self.tool_schema_arena.deinit();
errdefer self.node_registry.deinit();
errdefer self.terminal.deinit();
errdefer self.message_arena.deinit();
self.tools = try buildTools(self.tool_schema_arena.allocator());
try self.browser.init(app, .{}, null);
errdefer self.browser.deinit();
self.session = try self.browser.newSession(notification);
self.verifier = .{ .session = self.session, .node_registry = &self.node_registry };
self.cmd_runner = .init(self.session, &self.node_registry, &self.terminal);
self.ai_client = if (llm) |l| switch (l.provider) {
inline else => |tag| blk: {
const ProviderClient = zenai.provider.Client;
const ClientPtr = @FieldType(ProviderClient, @tagName(tag));
const Client = @typeInfo(ClientPtr).pointer.child;
const client = try allocator.create(Client);
const url: ?[]const u8 = opts.base_url orelse if (tag == .ollama) "http://localhost:11434/v1" else null;
client.* = Client.init(allocator, l.key, if (url) |u| .{ .base_url = u } else .{});
break :blk @unionInit(ProviderClient, @tagName(tag), client);
},
} else null;
errdefer if (self.ai_client) |c| switch (c) {
inline else => |client| {
client.deinit();
allocator.destroy(client);
},
};
if (will_repl) self.terminal.attachCompleter();
if (recorder_path) |p| {
if (Recorder.init(allocator, std.fs.cwd(), p)) |r| {
self.recorder = r;
self.terminal.printInfoFmt("recording to {s}", .{r.path});
} else |err| {
self.terminal.printErrorFmt("recording disabled: {s}", .{@errorName(err)});
}
}
return self;
}
pub fn deinit(self: *Agent) void {
if (self.recorder) |*r| r.deinit();
self.terminal.deinit();
self.message_arena.deinit();
self.messages.deinit(self.allocator);
self.tool_schema_arena.deinit();
self.node_registry.deinit();
self.browser.deinit();
self.notification.deinit();
if (self.ai_client) |ai_client| {
switch (ai_client) {
inline else => |c| {
c.deinit();
self.allocator.destroy(c);
},
}
}
self.allocator.free(self.model);
self.allocator.destroy(self);
}
fn buildTools(arena: std.mem.Allocator) ![]const zenai.provider.Tool {
const schemas = SlashCommand.globalSchemas();
const tools = try arena.alloc(zenai.provider.Tool, schemas.len);
for (schemas, 0..) |s, i| {
tools[i] = .{ .name = s.tool_name, .description = s.description, .parameters = s.parameters };
}
return tools;
}
/// Called from the sighandler thread — sets the flag only, no terminal
/// or V8 touches from this context.
pub fn requestCancel(self: *Agent) void {
self.cancel_requested.store(true, .release);
}
/// Lives in main's stack so it can be registered with the sighandler
/// before the agent thread exists. The agent attaches itself once it's
/// constructed and detaches before deinit, so the sighandler-thread
/// listener can fire safely whether or not an agent is currently up.
pub const SigBridge = struct {
agent: std.atomic.Value(?*Agent) = .init(null),
pub fn attach(self: *SigBridge, agent: *Agent) void {
self.agent.store(agent, .release);
}
pub fn detach(self: *SigBridge) void {
self.agent.store(null, .release);
}
pub fn onSignal(self: *SigBridge) void {
const a = self.agent.load(.acquire) orelse return;
a.requestCancel();
}
};
fn checkCancel(ctx: *anyopaque) bool {
const self: *Agent = @ptrCast(@alignCast(ctx));
return self.cancel_requested.load(.acquire);
}
/// Roll the agent back to `baseline` messages, clear the V8 termination
/// flag, drop the cancel signal, and surface `error.UserCancelled` to the
/// caller. Caller is responsible for any spinner cleanup that hasn't
/// already happened on its path.
fn drainCancellation(self: *Agent, baseline: usize) error{UserCancelled} {
self.rollbackMessages(baseline);
self.browser.env.cancelTerminate();
self.cancel_requested.store(false, .release);
return error.UserCancelled;
}
/// One agent turn: the prompt sent to the model, plus optional context
/// (a recorder comment to write before the turn, file attachments to bundle
/// into the first user message, and a display label used in error output).
pub const TurnInput = struct {
prompt: []const u8,
record_comment: ?[]const u8 = null,
attachments: ?[]const []const u8 = null,
label: []const u8 = "Request",
};
/// Returns true on success.
pub fn run(self: *Agent) bool {
if (self.one_shot_task) |task| return self.runTurn(.{
.prompt = task,
.attachments = self.one_shot_attachments,
});
if (self.script_file) |path| {
const script_ok = self.runScript(path);
if (!self.interactive) return script_ok;
}
self.runRepl();
return true;
}
/// Final answer goes to stdout; errors go to stderr, so a caller can
/// pipe stdout to capture a clean answer.
fn runTurn(self: *Agent, input: TurnInput) bool {
const text = self.processUserMessage(input) catch |err| switch (err) {
error.UnsupportedAttachment, error.AttachmentReadFailed => return false,
error.UserCancelled => {
self.terminal.printInfo("Interrupted.");
self.pruneMessages();
return false;
},
else => {
self.terminal.printErrorFmt("{s} failed: {s}", .{ input.label, @errorName(err) });
return false;
},
};
if (text) |t| self.terminal.printAssistant(t) else self.terminal.printInfo("(no response from model)");
self.pruneMessages();
return true;
}
fn runRepl(self: *Agent) void {
self.terminal.printInfo("Lightpanda Agent (type '/quit' to exit)");
self.terminal.printInfo("Tab completes/cycles through commands; the dim grey ghost shows the first match.");
log.debug(.app, "tools loaded", .{ .count = self.tools.len });
if (self.ai_client) |ai_client| {
self.terminal.printInfoFmt("Provider: {s}, Model: {s}", .{ @tagName(std.meta.activeTag(ai_client)), self.model });
} else {
self.terminal.printInfo("Basic REPL (--no-llm) — PandaScript only. Drop --no-llm and set an API key (ANTHROPIC_API_KEY, OPENAI_API_KEY, or GOOGLE_API_KEY) to enable natural-language, /login, and /acceptCookies.");
}
repl: while (true) {
// Ctrl-D returns null here. Ctrl-C is handled by the sighandler
// and never makes ic_readline return null.
const line = Terminal.readLine("") orelse break;
defer Terminal.freeLine(line);
// Slash commands and idle Ctrl-C set the cancel flag without
// clearing V8's terminate state; drain both before the next turn.
if (self.cancel_requested.swap(false, .acq_rel)) {
self.browser.env.cancelTerminate();
}
if (line.len == 0) continue;
if (line[0] == '/') {
const split = SlashCommand.splitNameRest(line[1..]) orelse continue :repl;
if (SlashCommand.findMeta(split.name) != null) {
if (self.handleMeta(split.name, split.rest)) break :repl;
continue :repl;
}
}
var arena: std.heap.ArenaAllocator = .init(self.allocator);
defer arena.deinit();
const aa = arena.allocator();
const cmd = Command.parseWithSchemas(aa, line, SlashCommand.globalSchemas()) catch |err| switch (err) {
error.NotASlashCommand => {
if (self.ai_client == null) {
self.terminal.printError("Basic REPL (--no-llm) accepts only slash commands. Try /help, or drop --no-llm and set an API key (ANTHROPIC_API_KEY, OPENAI_API_KEY, or GOOGLE_API_KEY) to enable natural-language prompts.");
continue :repl;
}
_ = self.runTurn(.{ .prompt = line, .record_comment = line });
continue :repl;
},
else => |e| {
self.printSlashParseError(e, line);
continue :repl;
},
};
switch (cmd) {
.comment => continue :repl,
.login, .accept_cookies => {
if (self.ai_client == null) {
self.terminal.printError("/login and /acceptCookies require an LLM. Drop --no-llm and set an API key (ANTHROPIC_API_KEY, OPENAI_API_KEY, or GOOGLE_API_KEY).");
continue :repl;
}
const prompt = if (cmd == .login) login_prompt else accept_cookies_prompt;
const label: []const u8 = if (cmd == .login) "LOGIN" else "ACCEPT_COOKIES";
_ = self.runTurn(.{ .prompt = prompt, .record_comment = line, .label = label });
},
.tool_call => |tc| {
const split = SlashCommand.splitNameRest(line[1..]) orelse unreachable;
self.terminal.beginTool(tc.name, split.rest);
const result = self.cmd_runner.executeWithResult(aa, cmd);
self.terminal.endTool();
self.cmd_runner.printResult(cmd, result);
if (self.recorder) |*r| r.record(cmd);
},
}
}
self.terminal.printInfo("Goodbye!");
}
/// Handle a meta slash command (/quit, /help, /verbosity). These aren't part
/// of PandaScript — they're REPL-only and never recorded. Returns `true` if
/// the user asked to quit. Caller has already verified `name` is in
/// `SlashCommand.meta_commands`.
fn handleMeta(self: *Agent, name: []const u8, rest: []const u8) bool {
if (std.mem.eql(u8, name, "quit")) return true;
if (std.mem.eql(u8, name, "help")) {
self.printSlashHelp(rest);
return false;
}
if (std.mem.eql(u8, name, "verbosity")) {
self.handleVerbosity(rest);
return false;
}
return false;
}
fn handleVerbosity(self: *Agent, rest: []const u8) void {
if (rest.len == 0) {
self.terminal.printInfoFmt("verbosity: {s}", .{@tagName(self.terminal.verbosity)});
return;
}
const level = std.meta.stringToEnum(Config.AgentVerbosity, rest) orelse {
self.terminal.printErrorFmt("usage: /verbosity <low|medium|high> (got {s})", .{rest});
return;
};
self.terminal.verbosity = level;
self.terminal.printInfoFmt("verbosity: {s}", .{@tagName(level)});
}
fn printSlashHelp(self: *Agent, target: []const u8) void {
if (target.len == 0) {
self.terminal.printInfo("Slash commands (no LLM, REPL only):");
for (SlashCommand.globalSchemas()) |s| {
const summary = firstSentence(s.description);
self.terminal.printInfoFmt(" /{s} — {s}", .{ s.tool_name, summary });
}
self.terminal.printInfo("Meta: /help [name], /quit, /verbosity <low|medium|high>");
return;
}
const lookup = if (target[0] == '/') target[1..] else target;
if (std.ascii.eqlIgnoreCase(lookup, "help")) {
self.terminal.printInfo("/help [name] — show help for a slash command, or list all when [name] is omitted");
return;
}
if (std.ascii.eqlIgnoreCase(lookup, "quit")) {
self.terminal.printInfo("/quit — exit the REPL");
return;
}
if (std.ascii.eqlIgnoreCase(lookup, "verbosity")) {
self.terminal.printInfoFmt(
"/verbosity <low|medium|high> — set REPL agent verbosity (currently: {s}). Bare /verbosity prints the level.",
.{@tagName(self.terminal.verbosity)},
);
return;
}
const schema = SlashCommand.findSchema(SlashCommand.globalSchemas(), lookup) orelse {
self.terminal.printErrorFmt("unknown tool: {s}", .{lookup});
return;
};
self.terminal.printInfoFmt("/{s} — {s}", .{ schema.tool_name, schema.description });
var arena: std.heap.ArenaAllocator = .init(self.allocator);
defer arena.deinit();
const aa = arena.allocator();
const pretty: []const u8 = blk: {
const v = std.json.parseFromSliceLeaky(std.json.Value, aa, schema.input_schema_raw, .{}) catch break :blk schema.input_schema_raw;
var aw: std.Io.Writer.Allocating = .init(aa);
std.json.Stringify.value(v, .{ .whitespace = .indent_2 }, &aw.writer) catch break :blk schema.input_schema_raw;
break :blk aw.written();
};
self.terminal.printInfoFmt("schema:\n{s}", .{pretty});
}
fn printSlashParseError(self: *Agent, err: SlashCommand.ParseError, name: []const u8) void {
const reason: []const u8 = switch (err) {
error.UnknownTool => "unknown tool",
error.MissingName => return self.terminal.printError("missing tool name. Try /help."),
error.MissingRequired => "missing required argument",
error.MalformedKv => "malformed key=value. Use key=value or {json}",
error.PositionalNotAllowed => "positional only works for tools with one required field. Use key=value",
error.UnterminatedQuote => "unterminated quote",
error.OutOfMemory => return self.terminal.printError("out of memory"),
};
self.terminal.printErrorFmt("{s}: {s}. Try /help {s}.", .{ name, reason, name });
}
fn firstSentence(text: []const u8) []const u8 {
// Plain "." is too aggressive — descriptions reference "console.log",
// "JSON-LD, OpenGraph, etc.", and similar abbreviations.
var i: usize = 0;
while (std.mem.indexOfScalarPos(u8, text, i, '.')) |idx| : (i = idx + 1) {
if (idx + 1 == text.len or std.ascii.isWhitespace(text[idx + 1])) return text[0..idx];
}
return text;
}
const Replacement = script.Replacement;
fn runScript(self: *Agent, path: []const u8) bool {
self.terminal.printInfoFmt("Running script: {s}", .{path});
var script_arena: std.heap.ArenaAllocator = .init(self.allocator);
defer script_arena.deinit();
const sa = script_arena.allocator();
const content = std.fs.cwd().readFileAlloc(sa, path, 10 * 1024 * 1024) catch |err| {
self.terminal.printErrorFmt("Failed to read script '{s}': {s}", .{ path, @errorName(err) });
return false;
};
var iter: Command.ScriptIterator = .init(sa, content);
var last_comment: ?[]const u8 = null;
var replacements: std.ArrayList(Replacement) = .empty;
while (true) {
const entry = (iter.next() catch |err| {
self.terminal.printErrorFmt("line {d}: {s} parsing script", .{ iter.line_num, @errorName(err) });
self.flushReplacements(path, content, replacements.items);
return false;
}) orelse break;
switch (entry.command) {
.comment => {
// Recorded scripts prefix LLM-generated commands with the
// natural-language prompt that produced them; keep the
// last one around so self-heal can use it as context.
if (entry.opener_line.len > 2 and entry.opener_line[0] == '#') {
last_comment = std.mem.trim(u8, entry.opener_line[1..], &std.ascii.whitespace);
}
continue;
},
.login, .accept_cookies => {
if (self.ai_client == null) {
self.terminal.printErrorFmt("line {d}: {s} requires --provider", .{
entry.line_num,
entry.opener_line,
});
self.flushReplacements(path, content, replacements.items);
return false;
}
const prompt = if (entry.command == .login) login_prompt else accept_cookies_prompt;
const text = self.processUserMessage(.{ .prompt = prompt }) catch |err| {
self.terminal.printErrorFmt("line {d}: {s} failed: {s}", .{
entry.line_num,
entry.opener_line,
@errorName(err),
});
self.flushReplacements(path, content, replacements.items);
return false;
};
if (text) |t| self.terminal.printAssistant(t);
self.pruneMessages();
},
.tool_call => {
self.terminal.printInfoFmt("[{d}] {s}", .{ entry.line_num, entry.opener_line });
switch (self.runActionEntry(sa, entry, last_comment)) {
.ok => {},
.healed => |r| replacements.append(sa, r) catch |err| {
self.terminal.printErrorFmt(
"line {d}: out of memory recording heal: {s} (script left unchanged)",
.{ entry.line_num, @errorName(err) },
);
return false;
},
.fail => {
self.flushReplacements(path, content, replacements.items);
return false;
},
}
},
}
}
self.flushReplacements(path, content, replacements.items);
self.terminal.printInfo("Script completed.");
return true;
}
const ActionOutcome = union(enum) {
ok,
healed: Replacement,
/// The per-line error has already been printed; caller must not re-report.
fail,
};
/// Execute one action-style script entry, including post-execution
/// verification, transient-failure retry, and LLM self-heal escalation.
fn runActionEntry(self: *Agent, sa: std.mem.Allocator, entry: Command.ScriptIterator.Entry, last_comment: ?[]const u8) ActionOutcome {
var cmd_arena: std.heap.ArenaAllocator = .init(self.allocator);
defer cmd_arena.deinit();
const ca = cmd_arena.allocator();
const result = self.cmd_runner.executeWithResult(ca, entry.command);
self.cmd_runner.printResult(entry.command, result);
const verification: Verifier.VerifyResult = if (!result.is_error and self.self_heal)
self.verifier.verify(ca, entry.command)
else
.inconclusive;
if (!result.is_error and verification != .failed) return .ok;
if (self.self_heal and self.ai_client != null) {
// Verification-only failures often resolve with a brief wait
// (animations, lazy-load); skip the LLM round-trip when they do.
if (!result.is_error and isRetryable(entry.command) and self.retryCommand(ca, entry.command)) {
return .ok;
}
const msg = if (result.is_error)
"Command failed, attempting self-healing..."
else
"Command succeeded but verification failed, attempting self-healing...";
self.terminal.printInfo(msg);
const reason: ?[]const u8 = switch (verification) {
.failed => |r| r,
.passed, .inconclusive => null,
};
if (self.attemptSelfHeal(sa, entry.opener_line, reason, last_comment)) |healed_cmds| {
const replacement = script.formatHealReplacement(sa, entry.raw_span, entry.opener_line, healed_cmds) catch |err| {
self.terminal.printErrorFmt(
"line {d}: failed to record heal: {s} (script left unchanged)",
.{ entry.line_num, @errorName(err) },
);
return .fail;
};
return .{ .healed = replacement };
}
}
self.terminal.printErrorFmt("line {d}: command failed: {s}", .{
entry.line_num,
entry.opener_line,
});
return .fail;
}
/// Re-run a verification-failed command with bounded backoff. Returns true
/// once both execution and verification pass, false after 3 attempts.
fn retryCommand(self: *Agent, ca: std.mem.Allocator, cmd: Command) bool {
for (0..3) |i| {
std.Thread.sleep((500 + i * 250) * std.time.ns_per_ms);
self.terminal.printInfo("Retrying command...");
const retry_result = self.cmd_runner.executeWithResult(ca, cmd);
if (retry_result.is_error) continue;
if (self.verifier.verify(ca, cmd) == .failed) continue;
self.cmd_runner.printResult(cmd, retry_result);
return true;
}
return false;
}
fn isRetryable(cmd: Command) bool {
const tc = switch (cmd) {
.tool_call => |t| t,
else => return false,
};
const action = std.meta.stringToEnum(browser_tools.Action, tc.name) orelse return false;
return switch (action) {
.fill, .setChecked, .selectOption => true,
else => false,
};
}
fn flushReplacements(self: *Agent, path: []const u8, content: []const u8, replacements: []const Replacement) void {
if (replacements.len == 0) return;
script.writeAtomic(self.allocator, std.fs.cwd(), path, content, replacements) catch |err| {
self.terminal.printErrorFmt(
"Failed to update script {s}: {s} (script left unchanged)",
.{ path, @errorName(err) },
);
return;
};
self.terminal.printInfoFmt(
"Script updated with {d} healed command(s); backup at {s}.bak",
.{ replacements.len, path },
);
}
const self_heal_max_attempts = 3;
fn ensureSystemPrompt(self: *Agent) !void {
if (self.messages.items.len == 0) {
try self.messages.append(self.allocator, .{
.role = .system,
.content = self.system_prompt,
});
}
}
// Drop older turns once `prune_high` is hit; survivors are deep-copied so
// the old arena (which still pins dropped strings) can be released.
const prune_high = 30;
const prune_keep = 20;
fn pruneMessages(self: *Agent) void {
const msgs = self.messages.items;
if (msgs.len <= prune_high) return;
const tail_start = zenai.provider.safeTruncationStart(msgs, msgs.len - prune_keep) orelse return;
// Dupe the kept tail into a scratch slice in the new arena first. Only
// mutate self.messages once every dupe has succeeded — otherwise a
// partial failure would leave self.messages.items[1..] pointing into
// the freed `new_arena`.
var new_arena: std.heap.ArenaAllocator = .init(self.allocator);
const duped = zenai.provider.dupeMessages(new_arena.allocator(), msgs[tail_start..]) catch {
new_arena.deinit();
return;
};
// System prompt at index 0 lives outside the arena and is preserved.
@memcpy(self.messages.items[1..][0..duped.len], duped);
self.messages.shrinkRetainingCapacity(1 + duped.len);
self.message_arena.deinit();
self.message_arena = new_arena;
}
/// Runs a single LLM turn, captures the commands it called without recording
/// them — so the caller can splice healed commands into the script directly.
fn runHealTurn(self: *Agent, arena: std.mem.Allocator, prompt: []const u8) ![]Command {
const provider_client = self.ai_client orelse return error.NoAiClient;
const ma = self.message_arena.allocator();
try self.ensureSystemPrompt();
try self.messages.append(self.allocator, .{
.role = .user,
.content = try ma.dupe(u8, prompt),
});
self.terminal.spinner.start();
var result = provider_client.runTools(
self.model,
&self.messages,
self.allocator,
ma,
.{ .context = @ptrCast(self), .callFn = handleToolCall },
.{
.tools = self.tools,
.max_tool_calls = 4,
.max_tokens = 4096,
.tool_choice = .auto,
},
) catch |err| {
self.terminal.spinner.cancel();
log.err(.app, "AI API error", .{ .err = err });
return error.ApiError;
};
self.terminal.spinner.stop();
defer result.deinit();
var cmds: std.ArrayList(Command) = .empty;
for (result.tool_calls_made) |tc| {
if (tc.is_error) continue;
// Deep-copy into the caller's arena: `result.deinit()` (deferred above)
// frees `tc.arguments`'s backing arena before the returned cmds are
// formatted by `attemptSelfHeal`.
const cmd = try Command.fromToolCallOwned(arena, tc.name, tc.arguments);
if (!cmd.canHeal()) {
self.terminal.printInfoFmt(
"self-heal: ignoring {s} (navigation and eval are not allowed during heal)",
.{tc.name},
);
continue;
}
try cmds.append(arena, cmd);
}
if (result.text) |text| {
self.terminal.printAssistant(text);
}
return cmds.toOwnedSlice(arena);
}
fn attemptSelfHeal(self: *Agent, arena: std.mem.Allocator, failed_command: []const u8, verify_context: ?[]const u8, context_comment: ?[]const u8) ?[]Command {
// Build the prompt in `arena` (the caller's per-replay arena), not in
// `message_arena`. The prompt is re-used across attempts, so it must
// survive arena rebuilds done between failed attempts.
var aw: std.Io.Writer.Allocating = .init(arena);
aw.writer.print("{s}{s}{s}{s}", .{
self_heal_prompt_prefix,
failed_command,
self_heal_prompt_page_state,
browser_tools.currentUrlOrPlaceholder(self.session),
}) catch return null;
if (context_comment) |c|
aw.writer.print("\n\nThe original user request that generated this command was:\n{s}", .{c}) catch return null;
if (verify_context) |ctx|
aw.writer.print("\n\nVerification detected a problem:\n{s}", .{ctx}) catch return null;
aw.writer.writeAll(self_heal_prompt_instructions) catch return null;
const prompt = aw.written();
// Save message count so we can roll back between attempts — each failed
// heal turn would otherwise accumulate in context, confusing the next try.
const msg_baseline = self.messages.items.len;
var attempt: u8 = 0;
while (attempt < self_heal_max_attempts) : (attempt += 1) {
const cmds = self.runHealTurn(arena, prompt) catch |err| {
self.terminal.printErrorFmt("self-heal attempt {d}/{d} failed: {s}", .{
attempt + 1,
self_heal_max_attempts,
@errorName(err),
});
self.rollbackMessages(msg_baseline);
continue;
};
if (cmds.len > 0) {
self.pruneMessages();
return cmds;
}
self.rollbackMessages(msg_baseline);
break;
}
return null;
}
/// Shrink `self.messages` back to `baseline` and rebuild the arena. Used
/// after a failed turn (API error, self-heal attempt, synthesis) so the
/// next turn doesn't replay the dropped messages and the arena doesn't
/// accumulate their bytes.
fn rollbackMessages(self: *Agent, baseline: usize) void {
self.messages.shrinkRetainingCapacity(baseline);
self.rebuildMessageArena();
}
/// Rebuild `message_arena` keeping only the messages currently in
/// `self.messages`. Used between failed self-heal attempts so the arena
/// doesn't accumulate prompt/tool-output bytes from doomed turns.
fn rebuildMessageArena(self: *Agent) void {
const msgs = self.messages.items;
if (msgs.len <= 1) {
// Only the system prompt (or nothing) remains — the system prompt
// lives outside the arena, so we can reset freely.
_ = self.message_arena.reset(.retain_capacity);
return;
}
var new_arena: std.heap.ArenaAllocator = .init(self.allocator);
// System prompt at index 0 lives outside the arena and is preserved.
const duped = zenai.provider.dupeMessages(new_arena.allocator(), msgs[1..]) catch {
new_arena.deinit();
return;
};
@memcpy(self.messages.items[1..][0..duped.len], duped);
self.message_arena.deinit();
self.message_arena = new_arena;
}
/// Returned text lives in `message_arena`, so it's only valid until the
/// next prune. The caller is responsible for calling `pruneMessages()`
/// after consuming the returned text — pruning earlier would free the
/// arena the slice points into. `null` means the model emitted nothing
/// even after the synthesis turn.
fn processUserMessage(self: *Agent, input: TurnInput) !?[]const u8 {
const ma = self.message_arena.allocator();
try self.ensureSystemPrompt();
// Attachments only ride on the very first user turn (just after the
// system prompt) — wired into the message's rich `parts`.
const turn_attachments: ?[]const []const u8 =
if (self.messages.items.len == 1) input.attachments else null;
// Save message count so we can roll back on API failure — otherwise the
// failed user turn stays in history and replays on the next attempt.
const msg_baseline = self.messages.items.len;
if (turn_attachments) |paths| {
const parts = try self.buildUserMessageParts(ma, input.prompt, paths);
try self.messages.append(self.allocator, .{
.role = .user,
.parts = parts,
});
} else {
try self.messages.append(self.allocator, .{
.role = .user,
.content = try ma.dupe(u8, input.prompt),
});
}
const provider_client = self.ai_client orelse return error.NoAiClient;
self.terminal.spinner.start();
var result = provider_client.runTools(
self.model,
&self.messages,
self.allocator,
ma,
.{ .context = @ptrCast(self), .callFn = handleToolCall },
.{
.tools = self.tools,
.max_turns = 30,
// Safety net; max_turns is the primary terminal.
.max_tool_calls = 200,
.max_tokens = 4096,
.tool_choice = .auto,
// Cap per-turn reasoning so thinking models don't burn
// minutes per turn. Ignored by non-thinking models.
.thinking_level = .medium,
.cancel = .{ .context = @ptrCast(self), .checkFn = checkCancel },
},
) catch |err| {
self.terminal.spinner.cancel();
// Ctrl-C can land while runTools is unwinding an HTTP error —
// surface UserCancelled, not ApiError, so the user sees the
// outcome they asked for.
if (self.cancel_requested.load(.acquire)) return self.drainCancellation(msg_baseline);
log.err(.app, "AI API error", .{ .err = err });
self.rollbackMessages(msg_baseline);
return error.ApiError;
};
self.terminal.spinner.stop();
defer result.deinit();
if (result.cancelled) return self.drainCancellation(msg_baseline);
if (self.recorder) |*r| if (r.isActive()) {
// When the LLM tries multiple `extract` schemas in one turn, only the
// last successful one is the answer — earlier probes are noise.
var last_extract_idx: ?usize = null;
for (result.tool_calls_made, 0..) |tc, i| {
if (!tc.is_error and std.mem.eql(u8, tc.name, "extract")) last_extract_idx = i;
}
var recorded_any = false;
for (result.tool_calls_made, 0..) |tc, i| {
if (tc.is_error) continue;
if (last_extract_idx) |idx| if (std.mem.eql(u8, tc.name, "extract") and idx != i) continue;
const cmd = Command.fromToolCall(tc.name, tc.arguments);
if (!cmd.isRecorded()) continue;
if (!recorded_any) {
if (input.record_comment) |c| r.recordComment(c);
recorded_any = true;
}
r.record(cmd);
}
// Recorder self-disables on write failure (disk full, fd closed). Tell
// the user the recording stopped instead of silently dropping appends.
if (!r.isActive()) {
self.terminal.printError("recording disabled (write failed); see logs");
}
};
// RunToolsResult arenas are deinited at the end of this function —
// dupe into `message_arena` so the returned slice outlives them.
const final_text: ?[]const u8 = blk: {
if (result.text) |text| break :blk try ma.dupe(u8, text);
// Tool loop ended without a final text — force one more turn that
// forbids tools and pretraining fallback. Without this, models
// confabulate answers when the page was blocked or empty.
log.info(.app, "synthesizing final answer", .{});
const synth_baseline = self.messages.items.len;
try self.messages.append(self.allocator, .{
.role = .user,
.content = try ma.dupe(u8, synthesis_prompt),
});
var synth = provider_client.runTools(
self.model,
&self.messages,
self.allocator,
ma,
.{ .context = @ptrCast(self), .callFn = handleToolCall },
.{
// tool_choice = .none forbids tools; serializing the full
// catalog anyway just pads the request body.
.tools = &.{},
.max_turns = 1,
.max_tokens = 4096,
.tool_choice = .none,
// Cap thinking on the finalize turn. Fully disabling it (0)
// leaves reasoning-heavy tasks with no answer at all; letting
// it run unbounded lets models fill the turn with thoughts
// and emit nothing as the final text. 512 tokens is enough
// for the model to pick its answer but not to freewheel.
.thinking_level = .low,
.cancel = .{ .context = @ptrCast(self), .checkFn = checkCancel },
},
) catch |err| {
if (self.cancel_requested.load(.acquire)) return self.drainCancellation(msg_baseline);
log.err(.app, "AI synthesis error", .{ .err = err });
self.rollbackMessages(synth_baseline);
break :blk null;
};
defer synth.deinit();
if (synth.cancelled) return self.drainCancellation(msg_baseline);
break :blk if (synth.text) |text| try ma.dupe(u8, text) else null;
};
// NB: pruning is deferred to the caller. `final_text` is allocated in
// `message_arena`, and `pruneMessages` may rebuild that arena — running
// it here would hand the caller a dangling slice.
return final_text;
}
/// Build a `parts`-based user message when `--attach` was given.
/// Text-ish files are inlined into the text prefix (surrounded by clear
/// markers); binary files (image/audio/pdf) are base64-encoded and sent as
/// provider inline-data parts. Unknown extensions error out so the caller
/// fails loudly instead of silently dropping the attachment.
fn buildUserMessageParts(
self: *Agent,
ma: std.mem.Allocator,
user_input: []const u8,
paths: []const []const u8,
) ![]const zenai.provider.ContentPart {
var text_prefix: std.ArrayList(u8) = .empty;
var inline_parts: std.ArrayList(zenai.provider.ContentPart) = .empty;
for (paths) |path| {
const mime = zenai.provider.inferInlineMimeType(path) orelse {
log.err(.app, "unsupported attachment", .{ .path = path });
self.terminal.printErrorFmt("unsupported attachment type: {s}", .{path});
return error.UnsupportedAttachment;
};
if (std.mem.startsWith(u8, mime, "text/")) {
const bytes = std.fs.cwd().readFileAlloc(ma, path, 512 * 1024) catch |err| {
log.err(.app, "read attachment failed", .{ .path = path, .err = err });
self.terminal.printErrorFmt("could not read attachment: {s}", .{path});
return error.AttachmentReadFailed;
};
try text_prefix.writer(ma).print(
"[Attached file: {s}]\n{s}\n[End of attachment]\n\n",
.{ path, bytes },
);
} else {
const raw = std.fs.cwd().readFileAlloc(ma, path, 20 * 1024 * 1024) catch |err| {
log.err(.app, "read attachment failed", .{ .path = path, .err = err });
self.terminal.printErrorFmt("could not read attachment: {s}", .{path});
return error.AttachmentReadFailed;
};
const b64_len = std.base64.standard.Encoder.calcSize(raw.len);
const b64 = try ma.alloc(u8, b64_len);
_ = std.base64.standard.Encoder.encode(b64, raw);
try inline_parts.append(ma, .{ .image = .{
.data = b64,
.mime_type = try ma.dupe(u8, mime),
} });
}
}
var parts: std.ArrayList(zenai.provider.ContentPart) = .empty;
try text_prefix.appendSlice(ma, user_input);
try parts.append(ma, .{ .text = try text_prefix.toOwnedSlice(ma) });
for (inline_parts.items) |p| try parts.append(ma, p);
return parts.toOwnedSlice(ma);
}
// Cap per-call tool output so heavy pages don't balloon the message arena
// (and the next request body) without bound.
const tool_output_max_bytes: usize = 1 * 1024 * 1024;
fn capToolOutput(allocator: std.mem.Allocator, output: []const u8) []const u8 {
if (output.len <= tool_output_max_bytes) return output;
const prefix = output[0..tool_output_max_bytes];
// Format the suffix into a tiny scratch buffer then concat — avoids
// duplicating the 1 MiB prefix through `allocPrint`'s format machinery.
var suffix_buf: [64]u8 = undefined;
const suffix = std.fmt.bufPrint(&suffix_buf, "\n...[truncated, original {d} bytes]", .{output.len}) catch return prefix;
return std.mem.concat(allocator, u8, &.{ prefix, suffix }) catch prefix;
}
fn handleToolCall(ctx: *anyopaque, allocator: std.mem.Allocator, tool_name: []const u8, arguments: ?std.json.Value) zenai.provider.Client.ToolHandler.Result {
const self: *Agent = @ptrCast(@alignCast(ctx));
// The spinner doesn't render args, and `agentToolDone` skips the body
// line at low verbosity — don't pay for the stringify when nobody reads it.
const needs_args = self.terminal.spinner.isEnabled() or self.terminal.verbosity != .low;
const args_str: []const u8 = if (needs_args) (if (arguments) |v|
std.json.Stringify.valueAlloc(allocator, v, .{}) catch ""
else
"") else "";
self.terminal.spinner.setTool(tool_name, args_str);
defer self.terminal.spinner.setThinking();
if (browser_tools.call(allocator, self.session, &self.node_registry, tool_name, arguments)) |result| {
const capped = capToolOutput(allocator, result.text);
self.terminal.agentToolDone(tool_name, args_str, !result.is_error);
if (self.terminal.verbosity == .high) self.terminal.printToolResult(tool_name, capped);
return .{ .content = capped, .is_error = result.is_error };
} else |err| {
const msg = std.fmt.allocPrint(allocator, "Error: {s}", .{@errorName(err)}) catch "Error: tool execution failed";
self.terminal.agentToolDone(tool_name, args_str, false);
if (self.terminal.verbosity == .high) self.terminal.printToolResult(tool_name, msg);
return .{ .content = msg, .is_error = true };
}
}
/// Determine which provider to use and read its env key. Returns null
/// only when no `--provider` was given AND no env key exists (the caller
/// decides whether that's fatal — basic REPL tolerates it).
fn resolveCredentials(opts: Config.Agent) !?Credentials {
if (opts.provider) |p| {
const key = zenai.provider.envApiKey(p) orelse {
std.debug.print(
"Missing API key for --provider {s}: set {s} — or pass --no-llm for the basic REPL.\n",
.{ @tagName(p), zenai.provider.envVarName(p) },
);
return error.MissingApiKey;
};
return .{ .provider = p, .key = key };
}
var buf: [zenai.provider.default_candidates.len]Credentials = undefined;
const found = zenai.provider.detectKeys(&buf, zenai.provider.default_candidates);
return switch (found.len) {
0 => blk: {
std.debug.print(
\\No API key detected. Set ANTHROPIC_API_KEY, OPENAI_API_KEY, or GOOGLE_API_KEY.
\\If you want to use the REPL in basic mode (without LLM integration) you can pass the --no-llm option.
\\
, .{});
break :blk null;
},
1 => blk: {
std.debug.print("Detected {s} — using --provider {s}.\n", .{ zenai.provider.envVarName(found[0].provider), @tagName(found[0].provider) });
break :blk found[0];
},
else => try pickProvider(found),
};
}
/// One-shot for `--list-models`: resolve provider+key, fetch chat-capable
/// model IDs, print to stdout (one per line).
pub fn listModels(allocator: std.mem.Allocator, opts: Config.Agent) !void {
if (opts.no_llm) {
log.fatal(.app, "list-models needs LLM", .{
.hint = "--no-llm and --list-models conflict; drop --no-llm",
});
return error.ConflictingFlags;
}
if (opts.task != null or opts.self_heal or opts.interactive or
opts.script_file != null or opts.pick_model)
{
log.fatal(.app, "list-models is exclusive", .{
.hint = "--list-models only takes --provider/--model/--base-url",
});
return error.ConflictingFlags;
}
const llm = (try resolveCredentials(opts)) orelse return error.MissingProvider;
var arena: std.heap.ArenaAllocator = .init(allocator);
defer arena.deinit();
const ids = try zenai.provider.listChatModelIds(allocator, arena.allocator(), llm.provider, llm.key, opts.base_url);
var stdout_file = std.fs.File.stdout().writer(&.{});
const w = &stdout_file.interface;
for (ids) |id| try w.print("{s}\n", .{id});
try w.flush();
}
fn defaultModel(p: Config.AiProvider) []const u8 {
return switch (p) {
.anthropic => "claude-sonnet-4-6",
.openai => "gpt-5.5",
.gemini => "gemini-3.5-flash",
.ollama => "gemma4",
};
}
fn pickProvider(found: []const Credentials) !Credentials {
if (!interactiveTty()) {
log.fatal(.app, "multiple API keys detected", .{
.hint = "Pass --provider explicitly when running non-interactively",
});
return error.AmbiguousProvider;
}
var labels: [@typeInfo(Config.AiProvider).@"enum".fields.len][]const u8 = undefined;
for (found, 0..) |f, i| labels[i] = @tagName(f.provider);
const idx = promptNumberedChoice("Multiple API keys detected. Pick provider:", labels[0..found.len], null) catch {
std.debug.print("Cancelled — pass --provider to skip the picker.\n", .{});
return error.UserCancelled;
};
return found[idx];
}
/// Fetch the provider's chat-capable model list and prompt the user to pick
/// one. Empty input picks the baked-in default. Always returns an owned
/// heap buffer (including for the default case) so the caller has one
/// uniform free path.
fn pickModel(allocator: std.mem.Allocator, llm: Credentials, base_url: ?[:0]const u8) ![]u8 {
if (!interactiveTty()) {
log.fatal(.app, "pick-model needs a TTY", .{
.hint = "rerun in a terminal or pass --model explicitly",
});
return error.NotInteractive;
}
var arena: std.heap.ArenaAllocator = .init(allocator);
defer arena.deinit();
// Runs before `SigBridge.attach` — Ctrl-C during the synchronous HTTP
// fetch is dropped; the picker prompt catches the next press via stdin EINTR.
std.debug.print("Fetching models for {s}…\n", .{@tagName(llm.provider)});
const ids = zenai.provider.listChatModelIds(allocator, arena.allocator(), llm.provider, llm.key, base_url) catch |err| {
log.fatal(.app, "list models failed", .{ .err = @errorName(err) });
return err;
};
if (ids.len == 0) {
log.fatal(.app, "no models returned", .{ .provider = @tagName(llm.provider) });
return error.NoModels;
}
const default_model = defaultModel(llm.provider);
var default_idx: ?usize = null;
for (ids, 0..) |id, i| if (std.mem.eql(u8, id, default_model)) {
default_idx = i;
break;
};
var header_buf: [128]u8 = undefined;
const enter_hint: []const u8 = if (default_idx == null) "" else " (Enter for default)";
const header = std.fmt.bufPrint(&header_buf, "Pick model for {s}{s}:", .{ @tagName(llm.provider), enter_hint }) catch
"Pick model:";
const idx = promptNumberedChoice(header, ids, default_idx) catch {
std.debug.print("Cancelled — pass --model to skip the picker.\n", .{});
return error.UserCancelled;
};
return try allocator.dupe(u8, ids[idx]);
}
fn interactiveTty() bool {
return std.posix.isatty(std.posix.STDIN_FILENO) and std.posix.isatty(std.posix.STDERR_FILENO);
}
/// Numbered TTY picker. `default` (if set) marks that row "(default)" and
/// makes Enter return that index. Errors with NoChoice after 3 invalid
/// attempts.
fn promptNumberedChoice(header: []const u8, items: []const []const u8, default: ?usize) !usize {
var stdin_buf: [128]u8 = undefined;
var stdin = std.fs.File.stdin().reader(&stdin_buf);
var attempt: u8 = 0;
while (attempt < 3) : (attempt += 1) {
std.debug.print("{s}\n", .{header});
for (items, 0..) |item, idx| {
const marker: []const u8 = if (default) |d| (if (d == idx) " (default)" else "") else "";
std.debug.print(" {d:>3}) {s}{s}\n", .{ idx + 1, item, marker });
}
std.debug.print("> ", .{});
const line = stdin.interface.takeDelimiterInclusive('\n') catch |err| switch (err) {
error.EndOfStream, error.StreamTooLong, error.ReadFailed => return error.UserCancelled,
};
const trimmed = std.mem.trim(u8, line, " \t\r\n");
if (trimmed.len == 0) {
if (default) |d| return d;
std.debug.print("Invalid input — type a number.\n", .{});
continue;
}
const choice = std.fmt.parseInt(usize, trimmed, 10) catch {
const hint: []const u8 = if (default != null) " (or press Enter for default)" else "";
std.debug.print("Invalid input — type a number{s}.\n", .{hint});
continue;
};
if (choice >= 1 and choice <= items.len) return choice - 1;
std.debug.print("Out of range.\n", .{});
}
return error.NoChoice;
}
// --- Tests ---
test "canHeal: only page-local DOM commands are allowed" {
// Table driven over the actual tool flags so adding a new tool can't
// silently drift from the heal allow-list. The heal LLM is restricted to
// these tools by Command.canHeal(); navigation and eval are excluded.
const tc_allow = [_][]const u8{ "click", "hover", "waitForSelector", "fill", "selectOption", "setChecked", "scroll", "extract", "press" };
const tc_deny = [_][]const u8{ "goto", "eval", "tree", "markdown", "search", "links" };
for (tc_allow) |name| {
const cmd = Command.fromToolCall(name, null);
try std.testing.expect(cmd.canHeal());
}
for (tc_deny) |name| {
const cmd = Command.fromToolCall(name, null);
try std.testing.expect(!cmd.canHeal());
}
try std.testing.expect(!(Command{ .login = {} }).canHeal());
try std.testing.expect(!(Command{ .accept_cookies = {} }).canHeal());
try std.testing.expect(!(Command{ .comment = {} }).canHeal());
}
test {
_ = @import("SlashCommand.zig");
}