flutter_agent_harness 0.1.41
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Cross-platform AI agent harness for Dart and Flutter: streaming provider adapters, agent loop with tools, session persistence, context compaction.
flutter_agent_harness #
Cross-platform AI agent harness for Dart and Flutter — streaming provider
adapters, an agent loop with native tool calling, JSONL session persistence,
and context compaction. Architecture ported from
pi-mono (packages/ai +
packages/agent), with a pure-Dart core that runs on the VM, Flutter
desktop/mobile, and web.
Status: early development (Phase 0). See GOAL.md for the roadmap, quality gates, and design contract. The API is not yet stable.
Highlights (target design) #
- Streaming-first:
Stream<AgentEvent>from every provider, partial-first deltas — each event carries the current partial message. - Errors-as-events: providers never throw; failures arrive as
errorevents with astopReason, so the agent loop never dies on a 429 or a dropped connection. - Native tool calling (OpenAI tools, Anthropic tool_use, Google functionCalling) — no prompt-based JSON scraping.
- Token-based context management: inline usage accounting, overflow detection, LLM-powered compaction.
- Sessions as append-only JSONL trees behind a storage abstraction — portable to web and mobile.
- Cancellation everywhere via
CancelToken.
Usage (current seed) #
import 'package:flutter_agent_harness/flutter_agent_harness.dart';
void main() async {
final source = CancelTokenSource();
// Pass source.token into any long-running operation.
final cancelled = source.token.onCancel.then((_) => print('aborted'));
source.cancel('user pressed stop');
await cancelled;
}
Provider adapters and the agent loop land in the next phases — see the roadmap in GOAL.md.
CLI (fah) #
A pi-like terminal coding agent ships in bin/fah.dart: a REPL with the
built-in read / write / ls / bash tools, JSONL session persistence
under ~/.fah/sessions (cwd-encoded layout), automatic context compaction,
and slash commands.
export OPENROUTER_API_KEY=sk-or-... # or ANTHROPIC_API_KEY / GOOGLE_API_KEY
dart run bin/fah.dart # defaults: OpenRouter, claude-sonnet-4
dart run bin/fah.dart --provider anthropic --model claude-sonnet-4-5
dart run bin/fah.dart --model openai/gpt-4o-mini --cwd . --session-root /tmp/fah
Headless mode runs a single non-interactive prompt and exits — the response
streams to stdout, tool indicators and notices go to stderr (stdout stays
pipeable), nothing is ever prompted interactively, and the session persists
like a REPL run. Exit codes: 0 ok, 1 provider error, 130 aborted (Ctrl-C).
A first positional naming an existing file becomes the prompt source: text
files (.md, .markdown, .txt) are inlined as the prompt; any other
(binary) file is attached as a path reference for the agent's tools — in
both cases trailing text appends as the instruction. A path that does not
exist is treated as plain prompt text.
dart run bin/fah.dart "summarize the changelog" # positional prompt
dart run bin/fah.dart -p "fix the typos in README.md" # -p/--prompt alias
dart run bin/fah.dart CHANGELOG.md "summarize this" # text file as prompt
dart run bin/fah.dart screenshot.png "describe it" # binary → path reference
dart run bin/fah.dart "summarize the changelog" | pbcopy # pipes cleanly
Flags: --model <id>, --provider openai-completions|anthropic|google,
--base-url <url>, --cwd <dir>, --session-root <dir>, -p/--prompt <text>, --help, --version.
Slash commands inside the REPL: /exit, /reset (new session), /compact
(summarize history now), /stats (token/cost totals), /model <id> (show or
switch model), /approval [always-ask|write|yolo] (tool approval mode),
/allow [tool] (always-allow a tool), /help. While a run is streaming,
typed input is steered into the agent; Ctrl-C aborts the run (Ctrl-C at the
idle prompt exits).
Tool calls pass an approval gate (lib/src/approval/): every tool has a
capability tier (read/write/exec; exec for undeclared custom tools), the
session mode decides what runs unattended, and per-tool overrides plus a
critical-pattern interceptor for bash (e.g. rm -rf /, fork bombs,
curl … | sh) can force a prompt — even in yolo. The prompt UI is an
injectable callback; piped (non-interactive) input denies prompt-policy
calls with a reason. Mode and always-allowed tools persist in
~/.fah/config.yaml.
The CLI core (AgentCli + CliIO) is pure Dart and lives in
lib/src/cli/agent_cli.dart; only bin/fah.dart and lib/io.dart touch
dart:io.
Development #
dart pub get
dart test --coverage=coverage --exclude-tags integration
dart run coverage:format_coverage --lcov -i coverage -o coverage/lcov.info
python3 scripts/check_coverage.py
Pre-commit hook (analyze + tests + coverage ≥ 80% + duplication < 1%):
cp scripts/pre-commit .git/hooks/pre-commit && chmod +x .git/hooks/pre-commit
License #
MIT — see LICENSE.