From 1681e29fa8a32ae027503b2c9b108a35fb721cf8 Mon Sep 17 00:00:00 2001 From: Musa Date: Tue, 6 Jan 2026 11:05:55 -0800 Subject: [PATCH 01/12] add cli ux --- cli/planoai/main.py | 450 +++++++++++++++++++++++++++++++-- cli/pyproject.toml | 2 + cli/test/test_validate.py | 218 ++++++++++++++++ cli/test/test_version_check.py | 163 ++++++++++++ cli/uv.lock | 53 ++++ 5 files changed, 865 insertions(+), 21 deletions(-) create mode 100644 cli/test/test_validate.py create mode 100644 cli/test/test_version_check.py diff --git a/cli/planoai/main.py b/cli/planoai/main.py index a2737883..284e57db 100644 --- a/cli/planoai/main.py +++ b/cli/planoai/main.py @@ -1,4 +1,4 @@ -import click +import rich_click as click import os import sys import subprocess @@ -6,6 +6,74 @@ import multiprocessing import importlib.metadata import json from planoai import targets + +# Brand color - Plano purple +PLANO_COLOR = "#969FF4" + +# Configure rich-click styling +click.rich_click.USE_RICH_MARKUP = True +click.rich_click.USE_MARKDOWN = False +click.rich_click.SHOW_ARGUMENTS = True +click.rich_click.GROUP_ARGUMENTS_OPTIONS = True +click.rich_click.STYLE_ERRORS_SUGGESTION = "dim italic" +click.rich_click.ERRORS_SUGGESTION = ( + "Try running the '--help' flag for more information." +) +click.rich_click.ERRORS_EPILOGUE = "" + +# Custom colors matching Plano brand +click.rich_click.STYLE_OPTION = f"dim {PLANO_COLOR}" +click.rich_click.STYLE_ARGUMENT = f"dim {PLANO_COLOR}" +click.rich_click.STYLE_COMMAND = f"bold {PLANO_COLOR}" +click.rich_click.STYLE_SWITCH = "bold green" +click.rich_click.STYLE_METAVAR = "bold yellow" +click.rich_click.STYLE_USAGE = "bold" +click.rich_click.STYLE_USAGE_COMMAND = f"bold dim {PLANO_COLOR}" +click.rich_click.STYLE_HELPTEXT_FIRST_LINE = f"white italic" +click.rich_click.STYLE_HELPTEXT = "" +click.rich_click.STYLE_HEADER_TEXT = "bold" +click.rich_click.STYLE_FOOTER_TEXT = "dim" +click.rich_click.STYLE_OPTIONS_PANEL_BORDER = "dim" +click.rich_click.ALIGN_OPTIONS_PANEL = "left" +click.rich_click.MAX_WIDTH = 100 + +# Option groups for better organization +click.rich_click.OPTION_GROUPS = { + "planoai up": [ + { + "name": "Configuration", + "options": ["--path", "file"], + }, + { + "name": "Runtime Options", + "options": ["--foreground"], + }, + ], + "planoai logs": [ + { + "name": "Log Options", + "options": ["--debug", "--follow"], + }, + ], +} + +# Command groups for main help +click.rich_click.COMMAND_GROUPS = { + "planoai": [ + { + "name": "Gateway Commands", + "commands": ["up", "down", "build", "logs"], + }, + { + "name": "Agent Commands", + "commands": ["cli-agent"], + }, + { + "name": "Utilities", + "commands": ["validate", "generate-prompt-targets"], + }, + ], +} from planoai.docker_cli import ( docker_validate_plano_schema, stream_gateway_logs, @@ -34,19 +102,22 @@ from planoai.consts import ( log = getLogger(__name__) # ref https://patorjk.com/software/taag/#p=display&f=Doom&t=Plano&x=none&v=4&h=4&w=80&we=false -logo = r""" -______ _ -| ___ \ | -| |_/ / | __ _ _ __ ___ -| __/| |/ _` | '_ \ / _ \ -| | | | (_| | | | | (_) | -\_| |_|\__,_|_| |_|\___/ - -""" +LOGO = f"""[bold {PLANO_COLOR}] + ______ _ + | ___ \\ | + | |_/ / | __ _ _ __ ___ + | __/| |/ _` | '_ \\ / _ \\ + | | | | (_| | | | | (_) | + \\_| |_|\\__,_|_| |_|\\___/ +[/bold {PLANO_COLOR}]""" # Command to build plano Docker images ARCHGW_DOCKERFILE = "./Dockerfile" +# PyPI package name for version checking +PYPI_PACKAGE_NAME = "planoai" +PYPI_URL = f"https://pypi.org/pypi/{PYPI_PACKAGE_NAME}/json" + def get_version(): try: @@ -63,19 +134,110 @@ def get_version(): return "version not found" +def get_latest_version(timeout: float = 2.0) -> str | None: + """Fetch the latest version from PyPI. + + Args: + timeout: Request timeout in seconds + + Returns: + Latest version string or None if fetch failed + """ + import requests + + try: + response = requests.get(PYPI_URL, timeout=timeout) + if response.status_code == 200: + data = response.json() + return data.get("info", {}).get("version") + except (requests.RequestException, ValueError): + # Network error or invalid JSON - fail silently + pass + return None + + +def parse_version(version_str: str) -> tuple: + """Parse version string into comparable tuple. + + Handles versions like "0.4.1", "1.0.0", "0.4.1a1" + """ + import re + + # Remove any pre-release suffixes for comparison + clean_version = re.split(r"[a-zA-Z]", version_str)[0] + parts = clean_version.split(".") + return tuple(int(p) for p in parts if p.isdigit()) + + +def check_version_status(current: str, latest: str | None) -> dict: + """Compare current version with latest and return status. + + Returns: + dict with keys: is_outdated, current, latest, message + """ + if latest is None: + return { + "is_outdated": False, + "current": current, + "latest": None, + "message": None, + } + + try: + current_tuple = parse_version(current) + latest_tuple = parse_version(latest) + is_outdated = current_tuple < latest_tuple + + return { + "is_outdated": is_outdated, + "current": current, + "latest": latest, + "message": f"Update available: {latest}" if is_outdated else None, + } + except (ValueError, TypeError): + # Version parsing failed + return { + "is_outdated": False, + "current": current, + "latest": latest, + "message": None, + } + + @click.group(invoke_without_command=True) -@click.option("--version", is_flag=True, help="Show the plano cli version and exit.") +@click.option("--version", is_flag=True, help="Show the Plano CLI version and exit.") @click.pass_context def main(ctx, version): + from rich.console import Console + + console = Console() + if version: - click.echo(f"plano cli version: {get_version()}") + current_version = get_version() + console.print( + f"[bold {PLANO_COLOR}]plano[/bold {PLANO_COLOR}] version [cyan]{current_version}[/cyan]" + ) + + # Check for updates (skip if PLANO_SKIP_VERSION_CHECK is set) + if not os.environ.get("PLANO_SKIP_VERSION_CHECK"): + latest_version = get_latest_version() + status = check_version_status(current_version, latest_version) + + if status["is_outdated"]: + console.print( + f"\n[yellow]⚠ Update available:[/yellow] [bold]{status['latest']}[/bold]" + ) + console.print( + f"[dim]Run: uv pip install --upgrade {PYPI_PACKAGE_NAME}[/dim]" + ) + elif latest_version: + console.print(f"[dim]✓ You're up to date[/dim]") + ctx.exit() - log.info(f"Starting plano cli version: {get_version()}") - if ctx.invoked_subcommand is None: - click.echo("""Arch (The Intelligent Prompt Gateway) CLI""") - click.echo(logo) + console.print(LOGO) + console.print("[dim]The Delivery Infrastructure for Agentic Apps[/dim]\n") click.echo(ctx.get_help()) @@ -121,16 +283,16 @@ def build(): @click.command() @click.argument("file", required=False) # Optional file argument @click.option( - "--path", default=".", help="Path to the directory containing arch_config.yaml" + "--path", default=".", help="Path to the directory containing config.yaml" ) @click.option( "--foreground", default=False, - help="Run Arch in the foreground. Default is False", + help="Run Plano in the foreground. Default is False", is_flag=True, ) def up(file, path, foreground): - """Starts Arch.""" + """Starts Plano.""" # Use the utility function to find config file arch_config_file = find_config_file(path, file) @@ -198,7 +360,7 @@ def up(file, path, foreground): @click.command() def down(): - """Stops Arch.""" + """Stops Plano.""" stop_docker_container() @@ -270,7 +432,7 @@ def logs(debug, follow): help="Additional settings as JSON string for the CLI agent.", ) def cli_agent(type, file, path, settings): - """Start a CLI agent connected to Arch. + """Start a CLI agent connected to Plano. Currently only 'claude' is supported. CLI_AGENT: The type of CLI agent to start (currently only 'claude' is supported) """ @@ -298,12 +460,258 @@ def cli_agent(type, file, path, settings): sys.exit(1) +def validate_config_file(config_path: str) -> dict: + """Validate a Plano config file and return validation results. + + Args: + config_path: Path to the config file + + Returns: + dict with keys: valid, errors, warnings, config, summary + """ + import yaml + from jsonschema import validate as json_validate, ValidationError + + result = { + "valid": True, + "errors": [], + "warnings": [], + "config": None, + "summary": { + "model_providers": [], + "listeners": [], + "env_vars_required": [], + }, + } + + # Check file exists + if not os.path.exists(config_path): + result["valid"] = False + result["errors"].append(f"Config file not found: {config_path}") + return result + + # Try to load YAML + try: + with open(config_path, "r") as f: + config = yaml.safe_load(f) + result["config"] = config + except yaml.YAMLError as e: + result["valid"] = False + result["errors"].append(f"Invalid YAML syntax: {e}") + return result + + # Find schema file + schema_path = find_repo_root() + if schema_path: + schema_file = os.path.join(schema_path, "config", "arch_config_schema.yaml") + else: + # Fallback - try relative paths + schema_file = None + for possible_path in [ + "../config/arch_config_schema.yaml", + "config/arch_config_schema.yaml", + ]: + if os.path.exists(possible_path): + schema_file = possible_path + break + + # Schema validation + if schema_file and os.path.exists(schema_file): + try: + with open(schema_file, "r") as f: + schema = yaml.safe_load(f) + json_validate(config, schema) + except ValidationError as e: + result["valid"] = False + result["errors"].append(f"Schema validation failed: {e.message}") + except Exception as e: + result["warnings"].append(f"Could not validate schema: {e}") + else: + result["warnings"].append("Schema file not found, skipping schema validation") + + # Extract model providers + model_providers = config.get("model_providers", config.get("llm_providers", [])) + for provider in model_providers: + model = provider.get("model", "unknown") + is_default = provider.get("default", False) + result["summary"]["model_providers"].append( + { + "model": model, + "default": is_default, + "name": provider.get("name", model), + } + ) + + # Check for env vars + access_key = provider.get("access_key", "") + if access_key.startswith("$"): + env_var = access_key[1:] + result["summary"]["env_vars_required"].append(env_var) + + # Extract listeners + listeners = config.get("listeners", {}) + if isinstance(listeners, dict): + # Legacy format + if "egress_traffic" in listeners: + result["summary"]["listeners"].append( + { + "name": "egress_traffic (LLM Gateway)", + "port": listeners["egress_traffic"].get("port", 12000), + "type": "model", + } + ) + if "ingress_traffic" in listeners: + result["summary"]["listeners"].append( + { + "name": "ingress_traffic (Prompt Gateway)", + "port": listeners["ingress_traffic"].get("port", 10000), + "type": "prompt", + } + ) + elif isinstance(listeners, list): + for listener in listeners: + result["summary"]["listeners"].append( + { + "name": listener.get("name", "unnamed"), + "port": listener.get("port", "unknown"), + "type": listener.get("type", "unknown"), + } + ) + + # Remove duplicates from env vars first + result["summary"]["env_vars_required"] = list( + set(result["summary"]["env_vars_required"]) + ) + + # Check environment variables (after deduplication) + for env_var in result["summary"]["env_vars_required"]: + if not os.environ.get(env_var): + result["warnings"].append(f"Environment variable ${env_var} is not set") + + return result + + +@click.command() +@click.argument("config_file", required=False, type=click.Path()) +@click.option( + "--path", "-p", default=".", help="Path to directory containing config.yaml" +) +@click.option("--quiet", "-q", is_flag=True, help="Only show errors, no summary") +def validate(config_file, path, quiet): + """Validate a Plano configuration file. + + If no CONFIG_FILE is provided, looks for config.yaml in the current directory + or the directory specified by --path. + """ + from rich.console import Console + from rich.table import Table + from rich.panel import Panel + + console = Console() + + # Determine config file path + if config_file: + config_path = os.path.abspath(config_file) + else: + # Look for config.yaml in path + config_path = os.path.join(os.path.abspath(path), "config.yaml") + if not os.path.exists(config_path): + # Try arch_config.yaml as fallback + config_path = os.path.join(os.path.abspath(path), "arch_config.yaml") + + # Show what we're validating + console.print(f"\n[bold]Validating:[/bold] [dim]{config_path}[/dim]\n") + + # Run validation + result = validate_config_file(config_path) + + # Display results + if result["valid"]: + console.print( + f"[bold green]✓[/bold green] [green]Configuration is valid[/green]\n" + ) + else: + console.print(f"[bold red]✗[/bold red] [red]Configuration is invalid[/red]\n") + + # Show errors + if result["errors"]: + for error in result["errors"]: + console.print(f" [red]✗ {error}[/red]") + console.print() + + # Show warnings + if result["warnings"]: + for warning in result["warnings"]: + console.print(f" [yellow]⚠ {warning}[/yellow]") + console.print() + + # Show summary (unless quiet mode) + if not quiet and result["config"]: + summary = result["summary"] + + # Model Providers table + if summary["model_providers"]: + table = Table( + title=f"[bold {PLANO_COLOR}]Model Providers[/bold {PLANO_COLOR}]", + border_style="dim", + show_header=True, + header_style=f"bold {PLANO_COLOR}", + ) + table.add_column("Model", style="cyan") + table.add_column("Default", style="green", justify="center") + + for provider in summary["model_providers"]: + default_marker = "●" if provider["default"] else "" + table.add_row(provider["model"], default_marker) + + console.print(table) + console.print() + + # Listeners table + if summary["listeners"]: + table = Table( + title=f"[bold {PLANO_COLOR}]Listeners[/bold {PLANO_COLOR}]", + border_style="dim", + show_header=True, + header_style=f"bold {PLANO_COLOR}", + ) + table.add_column("Name", style="cyan") + table.add_column("Type", style="magenta") + table.add_column("Port", style="yellow", justify="right") + + for listener in summary["listeners"]: + table.add_row(listener["name"], listener["type"], str(listener["port"])) + + console.print(table) + console.print() + + # Environment variables + if summary["env_vars_required"]: + env_status = [] + for env_var in sorted(summary["env_vars_required"]): + is_set = os.environ.get(env_var) is not None + status = f"[green]✓[/green]" if is_set else f"[yellow]○[/yellow]" + env_status.append(f" {status} [dim]${env_var}[/dim]") + + console.print( + f"[bold {PLANO_COLOR}]Environment Variables[/bold {PLANO_COLOR}]" + ) + for line in env_status: + console.print(line) + console.print() + + # Exit with appropriate code + if not result["valid"]: + sys.exit(1) + + main.add_command(up) main.add_command(down) main.add_command(build) main.add_command(logs) main.add_command(cli_agent) main.add_command(generate_prompt_targets) +main.add_command(validate) if __name__ == "__main__": main() diff --git a/cli/pyproject.toml b/cli/pyproject.toml index f9108178..be5ba0ca 100644 --- a/cli/pyproject.toml +++ b/cli/pyproject.toml @@ -11,6 +11,8 @@ dependencies = [ "jsonschema>=4.23.0,<5.0.0", "pyyaml>=6.0.2,<7.0.0", "requests>=2.31.0,<3.0.0", + "rich>=14.2.0", + "rich-click>=1.9.5", ] [project.optional-dependencies] diff --git a/cli/test/test_validate.py b/cli/test/test_validate.py new file mode 100644 index 00000000..9e64fcda --- /dev/null +++ b/cli/test/test_validate.py @@ -0,0 +1,218 @@ +import pytest +import os +import tempfile +from unittest import mock +from click.testing import CliRunner +from planoai.main import validate, validate_config_file + + +class TestValidateConfigFile: + """Tests for the validate_config_file function.""" + + def test_valid_config(self, tmp_path): + """Test validation of a valid config file.""" + config_content = """ +version: v0.3.0 + +listeners: + - type: model + name: llm_gateway + port: 12000 + +model_providers: + - model: openai/gpt-4o-mini + access_key: $OPENAI_API_KEY + default: true +""" + config_file = tmp_path / "config.yaml" + config_file.write_text(config_content) + + result = validate_config_file(str(config_file)) + + assert result["valid"] is True + assert len(result["errors"]) == 0 + assert result["config"] is not None + assert len(result["summary"]["model_providers"]) == 1 + assert result["summary"]["model_providers"][0]["model"] == "openai/gpt-4o-mini" + assert result["summary"]["model_providers"][0]["default"] is True + assert "OPENAI_API_KEY" in result["summary"]["env_vars_required"] + + def test_invalid_yaml_syntax(self, tmp_path): + """Test validation fails for invalid YAML syntax.""" + config_content = """ +version: v0.3.0 +listeners: + - type: model + name: [invalid yaml +""" + config_file = tmp_path / "config.yaml" + config_file.write_text(config_content) + + result = validate_config_file(str(config_file)) + + assert result["valid"] is False + assert any("Invalid YAML" in error for error in result["errors"]) + + def test_file_not_found(self): + """Test validation fails for non-existent file.""" + result = validate_config_file("/nonexistent/path/config.yaml") + + assert result["valid"] is False + assert any("not found" in error for error in result["errors"]) + + def test_multiple_model_providers(self, tmp_path): + """Test config with multiple model providers.""" + config_content = """ +version: v0.3.0 + +listeners: + - type: model + name: llm_gateway + port: 12000 + +model_providers: + - model: openai/gpt-4o-mini + access_key: $OPENAI_API_KEY + default: true + + - model: anthropic/claude-3-5-sonnet + access_key: $ANTHROPIC_API_KEY + + - model: mistral/mistral-large + access_key: $MISTRAL_API_KEY +""" + config_file = tmp_path / "config.yaml" + config_file.write_text(config_content) + + result = validate_config_file(str(config_file)) + + assert result["valid"] is True + assert len(result["summary"]["model_providers"]) == 3 + assert set(result["summary"]["env_vars_required"]) == { + "OPENAI_API_KEY", + "ANTHROPIC_API_KEY", + "MISTRAL_API_KEY", + } + + def test_legacy_listener_format(self, tmp_path): + """Test config with legacy listener format.""" + config_content = """ +version: v0.1.0 + +listeners: + egress_traffic: + address: 0.0.0.0 + port: 12000 + ingress_traffic: + address: 0.0.0.0 + port: 10000 + +llm_providers: + - model: openai/gpt-4o + access_key: $OPENAI_API_KEY +""" + config_file = tmp_path / "config.yaml" + config_file.write_text(config_content) + + result = validate_config_file(str(config_file)) + + assert result["valid"] is True + assert len(result["summary"]["listeners"]) == 2 + + # Check listener ports are correctly extracted + ports = [l["port"] for l in result["summary"]["listeners"]] + assert 12000 in ports + assert 10000 in ports + + +class TestValidateCommand: + """Tests for the CLI validate command.""" + + def test_validate_command_with_valid_file(self, tmp_path): + """Test validate command with a valid config file.""" + config_content = """ +version: v0.3.0 + +listeners: + - type: model + name: llm_gateway + port: 12000 + +model_providers: + - model: openai/gpt-4o-mini + access_key: $OPENAI_API_KEY + default: true +""" + config_file = tmp_path / "config.yaml" + config_file.write_text(config_content) + + runner = CliRunner() + result = runner.invoke(validate, [str(config_file)]) + + assert result.exit_code == 0 + assert "valid" in result.output.lower() or "✓" in result.output + + def test_validate_command_with_invalid_file(self, tmp_path): + """Test validate command fails with invalid config.""" + config_content = """ +version: v0.3.0 +invalid_yaml: [broken +""" + config_file = tmp_path / "config.yaml" + config_file.write_text(config_content) + + runner = CliRunner() + result = runner.invoke(validate, [str(config_file)]) + + assert result.exit_code == 1 + assert "invalid" in result.output.lower() or "✗" in result.output + + def test_validate_command_auto_detect_config(self, tmp_path, monkeypatch): + """Test validate command auto-detects config.yaml in current directory.""" + config_content = """ +version: v0.3.0 + +listeners: + - type: model + name: test + port: 12000 + +model_providers: + - model: openai/gpt-4o + access_key: $OPENAI_API_KEY +""" + config_file = tmp_path / "config.yaml" + config_file.write_text(config_content) + + # Change to the temp directory + monkeypatch.chdir(tmp_path) + + runner = CliRunner() + result = runner.invoke(validate, []) + + assert result.exit_code == 0 + assert "valid" in result.output.lower() or "✓" in result.output + + def test_validate_command_quiet_mode(self, tmp_path): + """Test validate command with --quiet flag.""" + config_content = """ +version: v0.3.0 + +listeners: + - type: model + name: llm_gateway + port: 12000 + +model_providers: + - model: openai/gpt-4o-mini + access_key: $OPENAI_API_KEY +""" + config_file = tmp_path / "config.yaml" + config_file.write_text(config_content) + + runner = CliRunner() + result = runner.invoke(validate, [str(config_file), "--quiet"]) + + assert result.exit_code == 0 + # Quiet mode should have minimal output (no tables) + assert "Model Providers" not in result.output diff --git a/cli/test/test_version_check.py b/cli/test/test_version_check.py new file mode 100644 index 00000000..c51eeae5 --- /dev/null +++ b/cli/test/test_version_check.py @@ -0,0 +1,163 @@ +import pytest +from unittest import mock +from planoai.main import ( + get_version, + get_latest_version, + parse_version, + check_version_status, + PYPI_URL, +) + + +class TestParseVersion: + """Tests for version string parsing.""" + + def test_parse_simple_version(self): + assert parse_version("1.0.0") == (1, 0, 0) + assert parse_version("0.4.1") == (0, 4, 1) + assert parse_version("10.20.30") == (10, 20, 30) + + def test_parse_two_part_version(self): + assert parse_version("1.0") == (1, 0) + assert parse_version("2.5") == (2, 5) + + def test_parse_version_with_prerelease(self): + # Pre-release suffixes should be stripped + assert parse_version("0.4.1a1") == (0, 4, 1) + assert parse_version("1.0.0beta2") == (1, 0, 0) + assert parse_version("2.0.0rc1") == (2, 0, 0) + + +class TestCheckVersionStatus: + """Tests for version comparison logic.""" + + def test_current_equals_latest(self): + status = check_version_status("0.4.1", "0.4.1") + assert status["is_outdated"] is False + assert status["current"] == "0.4.1" + assert status["latest"] == "0.4.1" + assert status["message"] is None + + def test_current_is_outdated(self): + status = check_version_status("0.4.1", "0.5.0") + assert status["is_outdated"] is True + assert status["current"] == "0.4.1" + assert status["latest"] == "0.5.0" + assert "Update available" in status["message"] + assert "0.5.0" in status["message"] + + def test_current_is_newer(self): + # Dev version might be newer than PyPI + status = check_version_status("0.5.0", "0.4.1") + assert status["is_outdated"] is False + assert status["message"] is None + + def test_major_version_outdated(self): + status = check_version_status("0.4.1", "1.0.0") + assert status["is_outdated"] is True + + def test_minor_version_outdated(self): + status = check_version_status("0.4.1", "0.5.0") + assert status["is_outdated"] is True + + def test_patch_version_outdated(self): + status = check_version_status("0.4.1", "0.4.2") + assert status["is_outdated"] is True + + def test_latest_is_none(self): + # When PyPI check fails + status = check_version_status("0.4.1", None) + assert status["is_outdated"] is False + assert status["latest"] is None + assert status["message"] is None + + +class TestGetLatestVersion: + """Tests for PyPI version fetching.""" + + def test_successful_fetch(self): + mock_response = mock.Mock() + mock_response.status_code = 200 + mock_response.json.return_value = {"info": {"version": "0.5.0"}} + + with mock.patch("requests.get", return_value=mock_response): + version = get_latest_version() + assert version == "0.5.0" + + def test_network_error(self): + import requests + + with mock.patch( + "requests.get", side_effect=requests.RequestException("Network error") + ): + version = get_latest_version() + assert version is None + + def test_timeout(self): + import requests + + with mock.patch("requests.get", side_effect=requests.Timeout("Timeout")): + version = get_latest_version() + assert version is None + + def test_invalid_json(self): + mock_response = mock.Mock() + mock_response.status_code = 200 + mock_response.json.side_effect = ValueError("Invalid JSON") + + with mock.patch("requests.get", return_value=mock_response): + version = get_latest_version() + assert version is None + + def test_404_response(self): + mock_response = mock.Mock() + mock_response.status_code = 404 + + with mock.patch("requests.get", return_value=mock_response): + version = get_latest_version() + assert version is None + + +class TestVersionCheckIntegration: + """Integration tests simulating version check scenarios.""" + + def test_outdated_version_message(self, capsys): + """Simulate an outdated version scenario.""" + from rich.console import Console + + console = Console(force_terminal=True) + current_version = "0.4.1" + + # Mock PyPI returning a newer version + mock_response = mock.Mock() + mock_response.status_code = 200 + mock_response.json.return_value = {"info": {"version": "0.5.0"}} + + with mock.patch("requests.get", return_value=mock_response): + latest = get_latest_version() + status = check_version_status(current_version, latest) + + assert status["is_outdated"] is True + assert status["latest"] == "0.5.0" + + def test_up_to_date_version(self): + """Simulate an up-to-date version scenario.""" + current_version = "0.4.1" + + mock_response = mock.Mock() + mock_response.status_code = 200 + mock_response.json.return_value = {"info": {"version": "0.4.1"}} + + with mock.patch("requests.get", return_value=mock_response): + latest = get_latest_version() + status = check_version_status(current_version, latest) + + assert status["is_outdated"] is False + + def test_skip_version_check_env_var(self, monkeypatch): + """Test that PLANO_SKIP_VERSION_CHECK skips the check.""" + monkeypatch.setenv("PLANO_SKIP_VERSION_CHECK", "1") + + import os + + assert os.environ.get("PLANO_SKIP_VERSION_CHECK") == "1" diff --git a/cli/uv.lock b/cli/uv.lock index fffd3eb2..764badcc 100644 --- a/cli/uv.lock +++ b/cli/uv.lock @@ -174,6 +174,18 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/41/45/1a4ed80516f02155c51f51e8cedb3c1902296743db0bbc66608a0db2814f/jsonschema_specifications-2025.9.1-py3-none-any.whl", hash = "sha256:98802fee3a11ee76ecaca44429fda8a41bff98b00a0f2838151b113f210cc6fe", size = 18437, upload-time = "2025-09-08T01:34:57.871Z" }, ] +[[package]] +name = "markdown-it-py" +version = "4.0.0" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "mdurl" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/5b/f5/4ec618ed16cc4f8fb3b701563655a69816155e79e24a17b651541804721d/markdown_it_py-4.0.0.tar.gz", hash = "sha256:cb0a2b4aa34f932c007117b194e945bd74e0ec24133ceb5bac59009cda1cb9f3", size = 73070, upload-time = "2025-08-11T12:57:52.854Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/94/54/e7d793b573f298e1c9013b8c4dade17d481164aa517d1d7148619c2cedbf/markdown_it_py-4.0.0-py3-none-any.whl", hash = "sha256:87327c59b172c5011896038353a81343b6754500a08cd7a4973bb48c6d578147", size = 87321, upload-time = "2025-08-11T12:57:51.923Z" }, +] + [[package]] name = "markupsafe" version = "3.0.2" @@ -232,6 +244,15 @@ wheels = [ { url = 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= "packaging" version = "25.0" @@ -251,6 +272,8 @@ dependencies = [ { name = "jsonschema" }, { name = "pyyaml" }, { name = "requests" }, + { name = "rich" }, + { name = "rich-click" }, ] [package.optional-dependencies] @@ -271,6 +294,8 @@ requires-dist = [ { name = "pytest", marker = "extra == 'dev'", specifier = ">=8.4.1,<9.0.0" }, { name = "pyyaml", specifier = ">=6.0.2,<7.0.0" }, { name = "requests", specifier = ">=2.31.0,<3.0.0" }, + { name = "rich", specifier = ">=14.2.0" }, + { name = "rich-click", specifier = ">=1.9.5" }, ] provides-extras = ["dev"] @@ -386,6 +411,34 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/1e/db/4254e3eabe8020b458f1a747140d32277ec7a271daf1d235b70dc0b4e6e3/requests-2.32.5-py3-none-any.whl", hash = "sha256:2462f94637a34fd532264295e186976db0f5d453d1cdd31473c85a6a161affb6", size = 64738, upload-time = "2025-08-18T20:46:00.542Z" }, ] +[[package]] +name = "rich" +version = "14.2.0" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "markdown-it-py" }, + { name = "pygments" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/fb/d2/8920e102050a0de7bfabeb4c4614a49248cf8d5d7a8d01885fbb24dc767a/rich-14.2.0.tar.gz", hash = "sha256:73ff50c7c0c1c77c8243079283f4edb376f0f6442433aecb8ce7e6d0b92d1fe4", size = 219990, upload-time = "2025-10-09T14:16:53.064Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/25/7a/b0178788f8dc6cafce37a212c99565fa1fe7872c70c6c9c1e1a372d9d88f/rich-14.2.0-py3-none-any.whl", hash = "sha256:76bc51fe2e57d2b1be1f96c524b890b816e334ab4c1e45888799bfaab0021edd", size = 243393, upload-time = "2025-10-09T14:16:51.245Z" }, +] + +[[package]] +name = "rich-click" +version = "1.9.5" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "click" }, + { name = "colorama", marker = "sys_platform == 'win32'" }, + { name = "rich" }, + { name = "typing-extensions", marker = "python_full_version < '3.11'" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/6b/d1/b60ca6a8745e76800b50c7ee246fd73f08a3be5d8e0b551fc93c19fa1203/rich_click-1.9.5.tar.gz", hash = "sha256:48120531493f1533828da80e13e839d471979ec8d7d0ca7b35f86a1379cc74b6", size = 73927, upload-time = "2025-12-21T14:49:44.167Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/25/0a/d865895e1e5d88a60baee0fc3703eb111c502ee10c8c107516bc7623abf8/rich_click-1.9.5-py3-none-any.whl", hash = "sha256:9b195721a773b1acf0e16ff9ec68cef1e7d237e53471e6e3f7ade462f86c403a", size = 70580, upload-time = "2025-12-21T14:49:42.905Z" }, +] + [[package]] name = "rpds-py" version = "0.27.1" From 4af90da7e986a94d2cc2da494c57f7c6d4126f24 Mon Sep 17 00:00:00 2001 From: Musa Date: Wed, 7 Jan 2026 19:45:56 -0800 Subject: [PATCH 02/12] cli ux improvements --- cli/planoai/docker_cli.py | 3 +- cli/planoai/main.py | 231 ++++++++++++++++++++++++++++++++------ 2 files changed, 200 insertions(+), 34 deletions(-) diff --git a/cli/planoai/docker_cli.py b/cli/planoai/docker_cli.py index 518606a6..b4e91ad4 100644 --- a/cli/planoai/docker_cli.py +++ b/cli/planoai/docker_cli.py @@ -35,7 +35,7 @@ def docker_stop_container(container: str) -> str: def docker_remove_container(container: str) -> str: result = subprocess.run( - ["docker", "rm", container], capture_output=True, text=True, check=False + ["docker", "rm", "-f", container], capture_output=True, text=True, check=False ) return result.returncode @@ -48,7 +48,6 @@ def docker_start_plano_detached( env_args = [item for key, value in env.items() for item in ["-e", f"{key}={value}"]] port_mappings = [ - f"{12001}:{12001}", "19901:9901", ] diff --git a/cli/planoai/main.py b/cli/planoai/main.py index 284e57db..151da306 100644 --- a/cli/planoai/main.py +++ b/cli/planoai/main.py @@ -293,75 +293,242 @@ def build(): ) def up(file, path, foreground): """Starts Plano.""" + import time + from rich.console import Console + from rich.status import Status + from planoai.docker_cli import ( + docker_container_status as get_container_status, + docker_start_plano_detached, + docker_stop_container as docker_stop, + docker_remove_container, + health_check_endpoint, + ) + from planoai.core import _get_gateway_ports, stream_gateway_logs + + console = Console() + + # Print header + console.print( + f"\n[bold {PLANO_COLOR}]Plano CLI[/bold {PLANO_COLOR}] [dim]v{get_version()}[/dim]\n" + ) + # Use the utility function to find config file arch_config_file = find_config_file(path, file) # Check if the file exists if not os.path.exists(arch_config_file): - log.info(f"Error: {arch_config_file} does not exist.") - return - - log.info(f"Validating {arch_config_file}") - ( - validation_return_code, - validation_stdout, - validation_stderr, - ) = docker_validate_plano_schema(arch_config_file) - if validation_return_code != 0: - log.info(f"Error: Validation failed. Exiting") - log.info(f"Validation stdout: {validation_stdout}") - log.info(f"Validation stderr: {validation_stderr}") + console.print( + f"[red]✗[/red] Config file not found: [dim]{arch_config_file}[/dim]" + ) sys.exit(1) - # Set the ARCH_CONFIG_FILE environment variable + with Status( + "[dim]Validating configuration[/dim]", spinner="dots", spinner_style="dim" + ) as status: + ( + validation_return_code, + validation_stdout, + validation_stderr, + ) = docker_validate_plano_schema(arch_config_file) + time.sleep(0.5) + + if validation_return_code != 0: + console.print(f"[red]✗[/red] Validation failed") + if validation_stderr: + console.print(f" [dim]{validation_stderr.strip()}[/dim]") + sys.exit(1) + + console.print(f"[green]✓[/green] Configuration valid") + + # Set up environment env_stage = { "OTEL_TRACING_HTTP_ENDPOINT": "http://host.docker.internal:4318/v1/traces", } env = os.environ.copy() - # Remove PATH variable if present env.pop("PATH", None) - # check if access_keys are preesnt in the config file - access_keys = get_llm_provider_access_keys(arch_config_file=arch_config_file) - # remove duplicates + # Check access keys + access_keys = get_llm_provider_access_keys(arch_config_file=arch_config_file) access_keys = set(access_keys) - # remove the $ from the access_keys access_keys = [item[1:] if item.startswith("$") else item for item in access_keys] + missing_keys = [] if access_keys: if file: - app_env_file = os.path.join( - os.path.dirname(os.path.abspath(file)), ".env" - ) # check the .env file in the path + app_env_file = os.path.join(os.path.dirname(os.path.abspath(file)), ".env") else: app_env_file = os.path.abspath(os.path.join(path, ".env")) - if not os.path.exists( - app_env_file - ): # check to see if the environment variables in the current environment or not + if not os.path.exists(app_env_file): for access_key in access_keys: if env.get(access_key) is None: - log.info(f"Access Key: {access_key} not found. Exiting Start") - sys.exit(1) + missing_keys.append(access_key) else: env_stage[access_key] = env.get(access_key) - else: # .env file exists, use that to send parameters to Arch + else: env_file_dict = load_env_file_to_dict(app_env_file) for access_key in access_keys: if env_file_dict.get(access_key) is None: - log.info(f"Access Key: {access_key} not found. Exiting Start") - sys.exit(1) + missing_keys.append(access_key) else: env_stage[access_key] = env_file_dict[access_key] + if missing_keys: + console.print(f"\n[red]✗[/red] [red]Missing API keys![/red]\n") + for key in missing_keys: + console.print(f" [red]•[/red] [bold]{key}[/bold] not found") + console.print(f"\n[dim]Set the environment variable(s):[/dim]") + for key in missing_keys: + console.print(f' [cyan]export {key}="your-api-key"[/cyan]') + console.print(f"\n[dim]Or create a .env file in the config directory.[/dim]\n") + sys.exit(1) + env.update(env_stage) - start_arch(arch_config_file, env, foreground=foreground) + + start_time = time.time() + + plano_status = get_container_status(PLANO_DOCKER_NAME) + if plano_status != "not found": + with console.status( + f"[{PLANO_COLOR}]Stopping existing instance...[/{PLANO_COLOR}]", + spinner="dots", + ): + docker_stop(PLANO_DOCKER_NAME) + docker_remove_container(PLANO_DOCKER_NAME) + time.sleep(1.0) + + gateway_ports = _get_gateway_ports(arch_config_file) + + max_retries = 3 + retry_delay = 2.0 + + with console.status( + f"[{PLANO_COLOR}]Starting Plano...[/{PLANO_COLOR}]", spinner="dots" + ) as status: + for attempt in range(max_retries): + return_code, _, plano_stderr = docker_start_plano_detached( + arch_config_file, + env, + gateway_ports, + ) + + if return_code == 0: + break + + if "address already in use" in plano_stderr and attempt < max_retries - 1: + plano_status = get_container_status(PLANO_DOCKER_NAME) + if plano_status != "not found": + docker_stop(PLANO_DOCKER_NAME) + docker_remove_container(PLANO_DOCKER_NAME) + + time.sleep(retry_delay) + continue + console.print(f"[red]✗[/red] Failed to start Plano") + if plano_stderr: + console.print(f" [dim]{plano_stderr.strip()}[/dim]") + sys.exit(1) + + log_timeout = 120 + consecutive_failures = 0 + max_consecutive_failures = 10 + + while True: + plano_status = get_container_status(PLANO_DOCKER_NAME) + elapsed = time.time() - start_time + + if plano_status == "exited": + console.print(f"[red]✗[/red] Plano container exited unexpectedly") + stream_gateway_logs(follow=False) + sys.exit(1) + + if plano_status != "running": + console.print( + f"[red]✗[/red] Plano container is not running (status: {plano_status})" + ) + sys.exit(1) + + if elapsed > log_timeout: + console.print( + f"[red]✗[/red] Timeout waiting for Plano to become healthy" + ) + sys.exit(1) + + all_listeners_healthy = True + for port in gateway_ports: + if not health_check_endpoint(f"http://localhost:{port}/healthz"): + all_listeners_healthy = False + break + + if all_listeners_healthy: + break + + consecutive_failures += 1 + if consecutive_failures >= max_consecutive_failures and elapsed > 5: + console.print( + f"[red]✗[/red] Plano failed to become healthy after {elapsed:.1f}s" + ) + console.print( + f"[dim]Check logs with: docker logs {PLANO_DOCKER_NAME}[/dim]" + ) + sys.exit(1) + + status.update( + f"[{PLANO_COLOR}]Starting Plano...[/{PLANO_COLOR}] [dim]({elapsed:.1f}s)[/dim]" + ) + time.sleep(0.5) + + elapsed = time.time() - start_time + console.print( + f"[green]✓[/green] [bold]Plano is running and healthy![/bold] [dim]({elapsed:.1f}s)[/dim]" + ) + + console.print(f"\n[bold]Listening on:[/bold]") + for port in gateway_ports: + console.print(f" [bold cyan]http://localhost:{port}[/bold cyan]") + console.print() + + if foreground: + console.print(f"[dim]Streaming logs (Ctrl+C to stop)...[/dim]\n") + stream_gateway_logs(follow=True) @click.command() def down(): """Stops Plano.""" - stop_docker_container() + import time + from rich.console import Console + from planoai.docker_cli import ( + docker_container_status as get_container_status, + docker_stop_container as docker_stop, + docker_remove_container, + ) + + console = Console() + + # Print header + console.print( + f"\n[bold {PLANO_COLOR}]Plano CLI[/bold {PLANO_COLOR}] [dim]v{get_version()}[/dim]\n" + ) + + # Check if running + plano_status = get_container_status(PLANO_DOCKER_NAME) + + if plano_status == "not found": + console.print(f"[yellow]![/yellow] Plano is not running\n") + return + + start_time = time.time() + + with console.status( + f"[{PLANO_COLOR}]Shutting down Plano...[/{PLANO_COLOR}]", spinner="dots" + ): + docker_stop(PLANO_DOCKER_NAME) + docker_remove_container(PLANO_DOCKER_NAME) + + elapsed = time.time() - start_time + console.print( + f"[green]✓[/green] Successfully shut down Plano! [dim]({elapsed:.1f}s)[/dim]\n" + ) @click.command() From 8bbd878ab91b269b1df58b6020093430f633178d Mon Sep 17 00:00:00 2001 From: Musa Date: Thu, 8 Jan 2026 13:57:31 -0800 Subject: [PATCH 03/12] Update uv.lock --- demos/use_cases/travel_agents/uv.lock | 42 +++++++++++++++++++++++++-- 1 file changed, 39 insertions(+), 3 deletions(-) diff --git a/demos/use_cases/travel_agents/uv.lock b/demos/use_cases/travel_agents/uv.lock index 3f577a83..985c19e7 100644 --- a/demos/use_cases/travel_agents/uv.lock +++ b/demos/use_cases/travel_agents/uv.lock @@ -146,6 +146,18 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/0e/61/66938bbb5fc52dbdf84594873d5b51fb1f7c7794e9c0f5bd885f30bc507b/idna-3.11-py3-none-any.whl", hash = "sha256:771a87f49d9defaf64091e6e6fe9c18d4833f140bd19464795bc32d966ca37ea", size = 71008, upload-time = "2025-10-12T14:55:18.883Z" }, ] +[[package]] +name = "importlib-metadata" +version = "8.7.1" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "zipp" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/f3/49/3b30cad09e7771a4982d9975a8cbf64f00d4a1ececb53297f1d9a7be1b10/importlib_metadata-8.7.1.tar.gz", hash = "sha256:49fef1ae6440c182052f407c8d34a68f72efc36db9ca90dc0113398f2fdde8bb", size = 57107, upload-time = "2025-12-21T10:00:19.278Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/fa/5e/f8e9a1d23b9c20a551a8a02ea3637b4642e22c2626e3a13a9a29cdea99eb/importlib_metadata-8.7.1-py3-none-any.whl", hash = "sha256:5a1f80bf1daa489495071efbb095d75a634cf28a8bc299581244063b53176151", size = 27865, upload-time = "2025-12-21T10:00:18.329Z" }, +] + [[package]] name = "jiter" version = "0.12.0" @@ -262,6 +274,19 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/bb/d5/eb52edff49d3d5ea116e225538c118699ddeb7c29fa17ec28af14bc10033/openai-2.13.0-py3-none-any.whl", hash = "sha256:746521065fed68df2f9c2d85613bb50844343ea81f60009b60e6a600c9352c79", size = 1066837, upload-time = "2025-12-16T18:19:43.124Z" }, ] +[[package]] +name = "opentelemetry-api" +version = "1.39.1" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "importlib-metadata" }, + { name = "typing-extensions" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/97/b9/3161be15bb8e3ad01be8be5a968a9237c3027c5be504362ff800fca3e442/opentelemetry_api-1.39.1.tar.gz", hash = "sha256:fbde8c80e1b937a2c61f20347e91c0c18a1940cecf012d62e65a7caf08967c9c", size = 65767, upload-time = "2025-12-11T13:32:39.182Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/cf/df/d3f1ddf4bb4cb50ed9b1139cc7b1c54c34a1e7ce8fd1b9a37c0d1551a6bd/opentelemetry_api-1.39.1-py3-none-any.whl", hash = "sha256:2edd8463432a7f8443edce90972169b195e7d6a05500cd29e6d13898187c9950", size = 66356, upload-time = "2025-12-11T13:32:17.304Z" }, +] + [[package]] name = "pydantic" version = "2.12.5" @@ -438,6 +463,7 @@ dependencies = [ { name = "fastapi" }, { name = "httpx" }, { name = "openai" }, + { name = "opentelemetry-api" }, { name = "pydantic" }, { name = "uvicorn" }, ] @@ -445,11 +471,12 @@ dependencies = [ [package.metadata] requires-dist = [ { name = "click", specifier = ">=8.2.1" }, - { name = "fastapi", specifier = ">=0.104.1" }, + { name = "fastapi", specifier = ">=0.115.0" }, { name = "httpx", specifier = ">=0.24.0" }, - { name = "openai", specifier = ">=2.13.0" }, + { name = "openai", specifier = ">=1.0.0" }, + { name = "opentelemetry-api", specifier = ">=1.20.0" }, { name = "pydantic", specifier = ">=2.11.7" }, - { name = "uvicorn", specifier = ">=0.24.0" }, + { name = "uvicorn", specifier = ">=0.30.0" }, ] [[package]] @@ -486,3 +513,12 @@ sdist = { url = "https://files.pythonhosted.org/packages/cb/ce/f06b84e2697fef468 wheels = [ { url = "https://files.pythonhosted.org/packages/ee/d9/d88e73ca598f4f6ff671fb5fde8a32925c2e08a637303a1d12883c7305fa/uvicorn-0.38.0-py3-none-any.whl", hash = "sha256:48c0afd214ceb59340075b4a052ea1ee91c16fbc2a9b1469cca0e54566977b02", size = 68109, upload-time = "2025-10-18T13:46:42.958Z" }, ] + +[[package]] +name = "zipp" +version = "3.23.0" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/e3/02/0f2892c661036d50ede074e376733dca2ae7c6eb617489437771209d4180/zipp-3.23.0.tar.gz", hash = "sha256:a07157588a12518c9d4034df3fbbee09c814741a33ff63c05fa29d26a2404166", size = 25547, upload-time = "2025-06-08T17:06:39.4Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/2e/54/647ade08bf0db230bfea292f893923872fd20be6ac6f53b2b936ba839d75/zipp-3.23.0-py3-none-any.whl", hash = "sha256:071652d6115ed432f5ce1d34c336c0adfd6a884660d1e9712a256d3d3bd4b14e", size = 10276, upload-time = "2025-06-08T17:06:38.034Z" }, +] From a181ef153d5ec2c2781573b35376c75f40789506 Mon Sep 17 00:00:00 2001 From: Musa Date: Mon, 12 Jan 2026 11:27:11 -0800 Subject: [PATCH 04/12] add init command --- cli/planoai/consts.py | 3 + cli/planoai/init_cmd.py | 701 +++++++++++++++++++++++ cli/planoai/main.py | 2 + cli/pyproject.toml | 1 + cli/test/test_init.py | 59 ++ cli/uv.lock | 35 ++ demos/use_cases/vercel-ai-sdk/.env.local | 5 + 7 files changed, 806 insertions(+) create mode 100644 cli/planoai/init_cmd.py create mode 100644 cli/test/test_init.py create mode 100644 demos/use_cases/vercel-ai-sdk/.env.local diff --git a/cli/planoai/consts.py b/cli/planoai/consts.py index 5b137fa6..1c0400fb 100644 --- a/cli/planoai/consts.py +++ b/cli/planoai/consts.py @@ -1,5 +1,8 @@ import os +# Brand color - Plano purple +PLANO_COLOR = "#969FF4" + SERVICE_NAME_ARCHGW = "plano" PLANO_DOCKER_NAME = "plano" PLANO_DOCKER_IMAGE = os.getenv("PLANO_DOCKER_IMAGE", "katanemo/plano:0.4.2") diff --git a/cli/planoai/init_cmd.py b/cli/planoai/init_cmd.py new file mode 100644 index 00000000..a4f5c6f8 --- /dev/null +++ b/cli/planoai/init_cmd.py @@ -0,0 +1,701 @@ +import re +import os +from dataclasses import dataclass +from pathlib import Path + +import rich_click as click +from rich.console import Console +from rich.panel import Panel + +from planoai.consts import PLANO_COLOR +from planoai.utils import get_llm_provider_access_keys, find_repo_root + + +@dataclass(frozen=True) +class Template: + """ + A Plano config template. + + - id: stable identifier used by --template + - title/description: UI strings + - yaml_text: embedded template contents (works in PyPI installs) + - repo_path: optional path to a real demos/.../config.yaml when running in-repo + """ + + id: str + title: str + description: str + yaml_text: str | None = None + repo_path: str | None = None + + +BUILTIN_TEMPLATES: list[Template] = [ + Template( + id="samples_python/weather_forecast", + title="samples_python/weather_forecast", + description="prompt targets + multiple LLMs (OpenAI/Groq/Anthropic)", + yaml_text="""version: v0.1.0 + +listeners: + ingress_traffic: + address: 0.0.0.0 + port: 10000 + message_format: openai + timeout: 30s + + egress_traffic: + address: 0.0.0.0 + port: 12000 + message_format: openai + timeout: 30s + +endpoints: + weather_forecast_service: + endpoint: host.docker.internal:18083 + connect_timeout: 0.005s + +overrides: + prompt_target_intent_matching_threshold: 0.6 + +llm_providers: + - access_key: $GROQ_API_KEY + model: groq/llama-3.2-3b-preview + + - access_key: $OPENAI_API_KEY + model: openai/gpt-4o + default: true + + - access_key: $OPENAI_API_KEY + model: openai/gpt-4o-mini + + - access_key: $ANTHROPIC_API_KEY + model: anthropic/claude-sonnet-4-20250514 + +system_prompt: | + You are a helpful assistant. + +prompt_targets: + - name: get_current_weather + description: Get current weather at a location. + parameters: + - name: location + description: The location to get the weather for + required: true + type: string + format: City, State + - name: days + description: the number of days for the request + required: true + type: int + endpoint: + name: weather_forecast_service + path: /weather + http_method: POST + + - name: default_target + default: true + description: This is the default target for all unmatched prompts. + endpoint: + name: weather_forecast_service + path: /default_target + http_method: POST + system_prompt: | + You are a helpful assistant! Summarize the user's request and provide a helpful response. + auto_llm_dispatch_on_response: false + +tracing: + random_sampling: 100 + trace_arch_internal: true +""", + ), + Template( + id="samples_python/stock_quote", + title="samples_python/stock_quote", + description="external API headers ($TWELVEDATA_API_KEY) + prompt targets", + yaml_text="""version: v0.1.0 + +listeners: + ingress_traffic: + address: 0.0.0.0 + port: 10000 + message_format: openai + timeout: 30s + +llm_providers: + - access_key: $OPENAI_API_KEY + model: openai/gpt-4o + +endpoints: + twelvedata_api: + endpoint: api.twelvedata.com + protocol: https + +system_prompt: | + You are a helpful assistant. + +prompt_targets: + - name: stock_quote + description: get current stock exchange rate for a given symbol + parameters: + - name: symbol + description: Stock symbol + required: true + type: str + endpoint: + name: twelvedata_api + path: /quote + http_headers: + Authorization: "apikey $TWELVEDATA_API_KEY" + system_prompt: | + You are a helpful stock exchange assistant. Parse the JSON and present it in a human-readable format. Be concise. + + - name: stock_quote_time_series + description: get historical stock exchange rate for a given symbol + parameters: + - name: symbol + description: Stock symbol + required: true + type: str + - name: interval + description: Time interval + default: 1day + enum: + - 1h + - 1day + type: str + endpoint: + name: twelvedata_api + path: /time_series + http_headers: + Authorization: "apikey $TWELVEDATA_API_KEY" + system_prompt: | + You are a helpful stock exchange assistant. Parse the JSON and present it in a human-readable format. Be concise. + +tracing: + random_sampling: 100 + trace_arch_internal: true +""", + ), + Template( + id="use_cases/claude_code_router", + title="use_cases/claude_code_router", + description="multi-model routing preferences + model_aliases (good for CLI agents)", + yaml_text="""version: v0.1 + +listeners: + egress_traffic: + address: 0.0.0.0 + port: 12000 + message_format: openai + timeout: 30s + +llm_providers: + - model: openai/gpt-5-2025-08-07 + access_key: $OPENAI_API_KEY + routing_preferences: + - name: code generation + description: generating new code snippets, functions, or boilerplate based on user prompts or requirements + + - model: openai/gpt-4.1-2025-04-14 + access_key: $OPENAI_API_KEY + routing_preferences: + - name: code understanding + description: understand and explain existing code snippets, functions, or libraries + + - model: anthropic/claude-sonnet-4-5 + default: true + access_key: $ANTHROPIC_API_KEY + + - model: anthropic/claude-haiku-4-5 + access_key: $ANTHROPIC_API_KEY + + - model: ollama/llama3.1 + base_url: http://host.docker.internal:11434 + +model_aliases: + arch.claude.code.small.fast: + target: claude-haiku-4-5 + +tracing: + random_sampling: 100 +""", + ), + Template( + id="use_cases/ollama", + title="use_cases/ollama", + description="local LLM via base_url (OpenAI-compatible provider_interface)", + yaml_text="""version: v0.1.0 + +listeners: + egress_traffic: + address: 0.0.0.0 + port: 12000 + message_format: openai + timeout: 30s + +llm_providers: + - model: my_llm_provider/llama3.2 + provider_interface: openai + base_url: http://host.docker.internal:11434 + default: true + +system_prompt: | + You are a helpful assistant. + +tracing: + random_sampling: 100 + trace_arch_internal: true +""", + ), +] + + +def _discover_repo_demo_templates(repo_root: str | None) -> dict[str, str]: + """ + Returns mapping from template id -> absolute config.yaml path for repo demos. + This is best-effort and should be fast; built-in templates remain the default. + """ + if not repo_root: + return {} + demos_dir = Path(repo_root) / "demos" + if not demos_dir.exists(): + return {} + + result: dict[str, str] = {} + # keep it bounded: just walk demos and match config.yaml (small tree) + for cfg in demos_dir.rglob("config.yaml"): + try: + rel = cfg.relative_to(demos_dir).as_posix() + except Exception: + continue + template_id = rel.removesuffix("/config.yaml") + result[template_id] = str(cfg) + return result + + +def _get_templates() -> list[Template]: + repo_root = find_repo_root() + repo_templates = _discover_repo_demo_templates(repo_root) + templates: list[Template] = [] + for t in BUILTIN_TEMPLATES: + repo_path = repo_templates.get(t.id) + templates.append( + Template( + id=t.id, + title=t.title, + description=t.description, + yaml_text=t.yaml_text, + repo_path=repo_path, + ) + ) + + # Add any extra demo configs not represented by built-ins (no embedded yaml). + builtin_ids = {t.id for t in templates} + for template_id, path in sorted(repo_templates.items()): + if template_id in builtin_ids: + continue + templates.append( + Template( + id=template_id, + title=template_id, + description="(repo demo)", + yaml_text=None, + repo_path=path, + ) + ) + return templates + + +def _resolve_template(template_id_or_path: str | None) -> Template | None: + if not template_id_or_path: + return None + + # 1) explicit path + p = Path(template_id_or_path) + if p.exists() and p.is_file(): + return Template( + id=str(p), + title=str(p), + description="(file)", + yaml_text=None, + repo_path=str(p.resolve()), + ) + + # 2) known id + templates = _get_templates() + for t in templates: + if t.id == template_id_or_path: + return t + + return None + + +def _ensure_parent_dir(path: Path) -> None: + path.parent.mkdir(parents=True, exist_ok=True) + + +def _write_clean_config(path: Path, force: bool) -> None: + _ensure_parent_dir(path) + if path.exists() and not force: + raise FileExistsError(str(path)) + # user asked for NOTHING in it: empty file, with just a newline for POSIX friendliness + path.write_text("\n", encoding="utf-8") + + +def _write_template_config(path: Path, template: Template, force: bool) -> str: + _ensure_parent_dir(path) + if path.exists() and not force: + raise FileExistsError(str(path)) + + if template.repo_path: + src = Path(template.repo_path) + text = src.read_text(encoding="utf-8") + path.write_text(text, encoding="utf-8") + return f"repo:{template.repo_path}" + + if template.yaml_text is None: + raise ValueError(f"Template '{template.id}' is not available in this install.") + + path.write_text(template.yaml_text, encoding="utf-8") + return "builtin" + + +_ENV_VAR_PATTERN = re.compile(r"\$\{?([A-Z_][A-Z0-9_]*)\}?") + + +def _extract_env_vars(config_path: Path) -> list[str]: + """ + Extract env vars referenced by the config so we can offer .env placeholders. + Uses existing logic (headers/model providers/etc) plus a regex fallback. + """ + keys: set[str] = set() + try: + extracted = get_llm_provider_access_keys(str(config_path)) + for item in extracted: + if not item: + continue + if item.startswith("$"): + keys.add(item[1:]) + else: + # some cases may return raw vars + keys.add(item) + except Exception: + # best-effort; still run regex scan + pass + + try: + text = config_path.read_text(encoding="utf-8") + for m in _ENV_VAR_PATTERN.findall(text): + keys.add(m) + except Exception: + pass + + # Filter obvious false positives if any ever appear + keys.discard("HOST") + keys.discard("PORT") + return sorted(keys) + + +def _read_env_file_keys(env_path: Path) -> set[str]: + if not env_path.exists(): + return set() + keys: set[str] = set() + for line in env_path.read_text(encoding="utf-8").splitlines(): + s = line.strip() + if not s or s.startswith("#") or "=" not in s: + continue + k = s.split("=", 1)[0].strip() + if k: + keys.add(k) + return keys + + +def _upsert_env_placeholders(env_path: Path, keys: list[str]) -> list[str]: + """ + Create or append missing keys with blank values. Returns the keys actually added. + """ + _ensure_parent_dir(env_path) + existing = _read_env_file_keys(env_path) + missing = [k for k in keys if k not in existing] + if not missing: + return [] + + header = "" + if env_path.exists(): + header = "\n# Added by `planoai init`\n" + + addition = header + "\n".join([f"{k}=" for k in missing]) + "\n" + with env_path.open("a", encoding="utf-8") as f: + f.write(addition) + return missing + + +def _questionary_style(): + # prompt_toolkit style string format + from prompt_toolkit.styles import Style + + return Style.from_dict( + { + "qmark": f"fg:{PLANO_COLOR} bold", + "question": "bold", + "answer": f"fg:{PLANO_COLOR} bold", + "pointer": f"fg:{PLANO_COLOR} bold", + "highlighted": f"fg:{PLANO_COLOR} bold", + "selected": f"fg:{PLANO_COLOR}", + "instruction": "fg:#888888", + "text": "", + "disabled": "fg:#666666", + } + ) + + +def _force_truecolor_for_prompt_toolkit() -> None: + """ + Ensure prompt_toolkit uses truecolor so our brand hex (#969FF4) renders correctly. + Without this, some terminals or environments downgrade to 8-bit and the color + can look like a generic blue. + """ + # Only set if user hasn't explicitly chosen a depth. + os.environ.setdefault("PROMPT_TOOLKIT_COLOR_DEPTH", "DEPTH_24_BIT") + + +@click.command() +@click.option( + "--template", + "template_id_or_path", + default=None, + help="Create config.yaml from a template id (e.g. use_cases/claude_code_router) or a path to a YAML file.", +) +@click.option( + "--clean", + is_flag=True, + help="Create an empty config.yaml with no contents.", +) +@click.option( + "--output", + "-o", + "output_path", + default="config.yaml", + show_default=True, + help="Where to write the generated config.", +) +@click.option( + "--force", + is_flag=True, + help="Overwrite existing config file if it already exists.", +) +@click.option( + "--no-env", + is_flag=True, + help="Do not create/update a .env file.", +) +@click.option( + "--yes", + "-y", + is_flag=True, + help="Skip interactive prompts and accept defaults (will NOT overwrite without --force).", +) +@click.option( + "--list-templates", + is_flag=True, + help="List available template ids and exit.", +) +@click.pass_context +def init( + ctx, template_id_or_path, clean, output_path, force, no_env, yes, list_templates +): + """Initialize a Plano config quickly (arrow-key interactive wizard by default).""" + import sys + + console = Console() + + if clean and template_id_or_path: + raise click.UsageError("Use either --clean or --template, not both.") + + templates = _get_templates() + + if list_templates: + console.print(f"[bold {PLANO_COLOR}]Available templates[/bold {PLANO_COLOR}]\n") + for t in templates: + origin = ( + "repo" if t.repo_path else "builtin" if t.yaml_text else "repo-only" + ) + console.print( + f" [bold]{t.id}[/bold] [dim]({origin})[/dim] - {t.description}" + ) + return + + out_path = Path(output_path).expanduser() + + # Non-interactive fast paths + if yes or clean or template_id_or_path: + if clean: + try: + _write_clean_config(out_path, force=force) + except FileExistsError: + raise click.ClickException( + f"Refusing to overwrite existing file: {out_path} (use --force)" + ) + console.print(f"[green]✓[/green] Wrote [bold]{out_path}[/bold]") + return + + if template_id_or_path: + template = _resolve_template(template_id_or_path) + if not template: + raise click.ClickException( + f"Unknown template: {template_id_or_path}\n" + f"Run: planoai init --list-templates" + ) + try: + origin = _write_template_config(out_path, template, force=force) + except FileExistsError: + raise click.ClickException( + f"Refusing to overwrite existing file: {out_path} (use --force)" + ) + console.print( + f"[green]✓[/green] Wrote [bold]{out_path}[/bold] [dim]({template.id}, {origin})[/dim]" + ) + + if no_env: + return + + env_vars = _extract_env_vars(out_path) + if env_vars: + env_path = out_path.parent / ".env" + added = _upsert_env_placeholders(env_path, env_vars) + if added: + console.print( + f"[green]✓[/green] Updated [bold]{env_path}[/bold] [dim](added: {', '.join(added)})[/dim]" + ) + else: + console.print(f"[dim]✓ .env already contains required keys[/dim]") + return + + # yes without clean/template means: do nothing useful + raise click.UsageError( + "Non-interactive mode requires --template or --clean (or omit --yes for the interactive wizard)." + ) + + # Interactive wizard + if not (sys.stdin.isatty() and sys.stdout.isatty()): + raise click.ClickException( + "Interactive mode requires a TTY.\n" + "Use one of:\n" + " planoai init --template \n" + " planoai init --clean\n" + " planoai init --list-templates" + ) + + _force_truecolor_for_prompt_toolkit() + + # Lazy import so non-interactive users don't pay the import/compat cost + import questionary + from questionary import Choice + + # Step 1: mode + mode = questionary.select( + "Welcome to Plano! Pick a starting point:", + choices=[ + Choice("Start from a demo template (recommended)", value="template"), + Choice("Create a clean config.yaml (empty)", value="clean"), + Choice("Cancel", value="cancel"), + ], + style=_questionary_style(), + pointer="❯", + ).ask() + + if mode in (None, "cancel"): + console.print("[dim]Cancelled.[/dim]") + return + + # Step 2: output path (default: config.yaml) + out_answer = questionary.text( + "Where should I write the config?", + default=str(out_path), + style=_questionary_style(), + ).ask() + if not out_answer: + console.print("[dim]Cancelled.[/dim]") + return + out_path = Path(out_answer).expanduser() + + if out_path.exists() and not force: + overwrite = questionary.confirm( + f"{out_path} already exists. Overwrite?", + default=False, + style=_questionary_style(), + ).ask() + if not overwrite: + console.print("[dim]Cancelled.[/dim]") + return + force = True + + if mode == "clean": + _write_clean_config(out_path, force=True) + console.print(f"[green]✓[/green] Wrote [bold]{out_path}[/bold]") + return + + # Step 3: choose template (curated at top, plus any repo-only demos) + # Keep the list compact and readable. + template_choices: list[Choice] = [] + for t in templates: + label = f"{t.title} — {t.description}" + template_choices.append(Choice(label, value=t)) + + template = questionary.select( + "Choose a template", + choices=template_choices, + style=_questionary_style(), + pointer="❯", + use_indicator=True, + ).ask() + if not template: + console.print("[dim]Cancelled.[/dim]") + return + + origin = _write_template_config(out_path, template, force=True) + console.print( + f"[green]✓[/green] Wrote [bold]{out_path}[/bold] [dim]({template.id}, {origin})[/dim]" + ) + + # Step 4: .env placeholders (recommended, fast) + if not no_env: + env_vars = _extract_env_vars(out_path) + if env_vars: + env_path = out_path.parent / ".env" + do_env = questionary.confirm( + "Create/update a .env file with placeholders for required keys?", + default=True, + style=_questionary_style(), + ).ask() + if do_env: + added = _upsert_env_placeholders(env_path, env_vars) + if added: + console.print( + f"[green]✓[/green] Updated [bold]{env_path}[/bold] [dim](added: {', '.join(added)})[/dim]" + ) + else: + console.print(f"[dim]✓ .env already contains required keys[/dim]") + + # Step 5: next step shortcuts (validate/up/done) + next_step = questionary.select( + "Next step", + choices=[ + Choice(f"Run: planoai validate {out_path}", value="validate"), + Choice(f"Run: planoai up {out_path}", value="up"), + Choice("Done", value="done"), + ], + default="validate", + style=_questionary_style(), + pointer="❯", + ).ask() + + if next_step == "validate": + # Reuse existing click command implementation + from planoai.main import validate as validate_cmd + + ctx.invoke(validate_cmd, config_file=str(out_path), path=".", quiet=False) + elif next_step == "up": + from planoai.main import up as up_cmd + + ctx.invoke(up_cmd, file=str(out_path), path=".", foreground=False) diff --git a/cli/planoai/main.py b/cli/planoai/main.py index 151da306..b18258c6 100644 --- a/cli/planoai/main.py +++ b/cli/planoai/main.py @@ -93,6 +93,7 @@ from planoai.core import ( stop_docker_container, start_cli_agent, ) +from planoai.init_cmd import init as init_cmd from planoai.consts import ( PLANO_DOCKER_IMAGE, PLANO_DOCKER_NAME, @@ -879,6 +880,7 @@ main.add_command(logs) main.add_command(cli_agent) main.add_command(generate_prompt_targets) main.add_command(validate) +main.add_command(init_cmd, name="init") if __name__ == "__main__": main() diff --git a/cli/pyproject.toml b/cli/pyproject.toml index be5ba0ca..b901d4c2 100644 --- a/cli/pyproject.toml +++ b/cli/pyproject.toml @@ -9,6 +9,7 @@ dependencies = [ "click>=8.1.7,<9.0.0", "jinja2>=3.1.4,<4.0.0", "jsonschema>=4.23.0,<5.0.0", + "questionary>=2.1.1,<3.0.0", "pyyaml>=6.0.2,<7.0.0", "requests>=2.31.0,<3.0.0", "rich>=14.2.0", diff --git a/cli/test/test_init.py b/cli/test/test_init.py new file mode 100644 index 00000000..ccbae873 --- /dev/null +++ b/cli/test/test_init.py @@ -0,0 +1,59 @@ +from click.testing import CliRunner + +from planoai.init_cmd import init + + +def test_init_clean_writes_empty_config(tmp_path, monkeypatch): + monkeypatch.chdir(tmp_path) + + runner = CliRunner() + result = runner.invoke(init, ["--clean"]) + + assert result.exit_code == 0, result.output + config_path = tmp_path / "config.yaml" + assert config_path.exists() + assert config_path.read_text(encoding="utf-8") == "\n" + + +def test_init_template_builtin_writes_config_and_env(tmp_path, monkeypatch): + monkeypatch.chdir(tmp_path) + + runner = CliRunner() + result = runner.invoke( + init, ["--template", "use_cases/claude_code_router", "--yes"] + ) + + assert result.exit_code == 0, result.output + + config_path = tmp_path / "config.yaml" + assert config_path.exists() + config_text = config_path.read_text(encoding="utf-8") + assert "llm_providers:" in config_text + + env_path = tmp_path / ".env" + assert env_path.exists() + env_text = env_path.read_text(encoding="utf-8") + assert "OPENAI_API_KEY=" in env_text + assert "ANTHROPIC_API_KEY=" in env_text + + +def test_init_refuses_overwrite_without_force(tmp_path, monkeypatch): + monkeypatch.chdir(tmp_path) + (tmp_path / "config.yaml").write_text("hello", encoding="utf-8") + + runner = CliRunner() + result = runner.invoke(init, ["--clean"]) + + assert result.exit_code != 0 + assert "Refusing to overwrite" in result.output + + +def test_init_force_overwrites(tmp_path, monkeypatch): + monkeypatch.chdir(tmp_path) + (tmp_path / "config.yaml").write_text("hello", encoding="utf-8") + + runner = CliRunner() + result = runner.invoke(init, ["--clean", "--force"]) + + assert result.exit_code == 0, result.output + assert (tmp_path / "config.yaml").read_text(encoding="utf-8") == "\n" diff --git a/cli/uv.lock b/cli/uv.lock index 764badcc..2a3b1edc 100644 --- a/cli/uv.lock +++ b/cli/uv.lock @@ -271,6 +271,7 @@ dependencies = [ { name = "jinja2" }, { name = "jsonschema" }, { name = "pyyaml" }, + { name = "questionary" }, { name = "requests" }, { name = "rich" }, { name = "rich-click" }, @@ -293,6 +294,7 @@ requires-dist = [ { name = "jsonschema", specifier = ">=4.23.0,<5.0.0" }, { name = "pytest", marker = "extra == 'dev'", specifier = ">=8.4.1,<9.0.0" }, { name = "pyyaml", specifier = ">=6.0.2,<7.0.0" }, + { name = "questionary", specifier = ">=2.1.1,<3.0.0" }, { name = "requests", specifier = ">=2.31.0,<3.0.0" }, { name = "rich", specifier = ">=14.2.0" }, { name = "rich-click", specifier = ">=1.9.5" }, @@ -311,6 +313,18 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/54/20/4d324d65cc6d9205fabedc306948156824eb9f0ee1633355a8f7ec5c66bf/pluggy-1.6.0-py3-none-any.whl", 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+REDIS_URL="rediss://default:ATU7AAIncDJkMmFlOTMxNjA2ZTI0ZTJmOGU0YWFhNTYxYjhmZmU1OXAyMTM2Mjc@ethical-monster-13627.upstash.io:6379" From 1adbd811041010378315ee974ee8bc93c1ea9665 Mon Sep 17 00:00:00 2001 From: Musa Date: Tue, 13 Jan 2026 10:58:57 -0800 Subject: [PATCH 05/12] feat: langchain demo --- demos/use_cases/langchain/Dockerfile | 22 + demos/use_cases/langchain/README.md | 212 +++ demos/use_cases/langchain/config.yaml | 57 + demos/use_cases/langchain/docker-compose.yaml | 63 + demos/use_cases/langchain/pyproject.toml | 27 + .../src/travel_agents/flight_agent.py | 407 +++++ .../src/travel_agents/weather_agent.py | 424 +++++ demos/use_cases/langchain/test.rest | 43 + .../langchain/travel_agent_request.rest | 30 + demos/use_cases/langchain/uv.lock | 1419 +++++++++++++++++ 10 files changed, 2704 insertions(+) create mode 100644 demos/use_cases/langchain/Dockerfile create mode 100644 demos/use_cases/langchain/README.md create mode 100644 demos/use_cases/langchain/config.yaml create mode 100644 demos/use_cases/langchain/docker-compose.yaml create mode 100644 demos/use_cases/langchain/pyproject.toml create mode 100644 demos/use_cases/langchain/src/travel_agents/flight_agent.py create mode 100644 demos/use_cases/langchain/src/travel_agents/weather_agent.py create mode 100644 demos/use_cases/langchain/test.rest create mode 100644 demos/use_cases/langchain/travel_agent_request.rest create mode 100644 demos/use_cases/langchain/uv.lock diff --git a/demos/use_cases/langchain/Dockerfile b/demos/use_cases/langchain/Dockerfile new file mode 100644 index 00000000..effb5387 --- /dev/null +++ b/demos/use_cases/langchain/Dockerfile @@ -0,0 +1,22 @@ +FROM python:3.11-slim + +WORKDIR /app + +# Install bash and uv +RUN apt-get update && apt-get install -y bash && rm -rf /var/lib/apt/lists/* +RUN pip install --no-cache-dir uv + +# Copy dependency files +COPY pyproject.toml README.md ./ + +# Install dependencies (without lock file to resolve fresh) +RUN uv sync --no-dev + +# Copy application code +COPY src/ ./src/ + +# Set environment variables +ENV PYTHONUNBUFFERED=1 + +# Default command (will be overridden in docker-compose) +CMD ["uv", "run", "python", "src/travel_agents/weather_agent.py"] diff --git a/demos/use_cases/langchain/README.md b/demos/use_cases/langchain/README.md new file mode 100644 index 00000000..546fba46 --- /dev/null +++ b/demos/use_cases/langchain/README.md @@ -0,0 +1,212 @@ +# Travel Booking Agent Demo (LangChain-first) + +A lightweight LangChain-powered multi-agent travel booking system that runs two small agents behind Plano’s router: a weather agent and a flight agent. Each agent is implemented with LangChain tool-calling out of the box and kept minimal so you can read, tweak, and extend quickly. + +## Overview + +This demo consists of two LangChain agents that work together seamlessly: + +- **Weather Agent** - Real-time weather conditions and multi-day forecasts for any city worldwide +- **Flight Agent** - Live flight information between airports with real-time tracking + +Both agents are plain LangChain tool-callers. Plano routes traffic based on intent and forwards to the right LangChain agent. Everything runs in Docker for quick start. + +## Features + +- **Lightweight code**: Minimal prompts + tools you can read in one pass +- **Intelligent routing**: Plano auto-routes to weather vs flight +- **Real-time data**: Weather (Open-Meteo) + flights (FlightAware) +- **Multi-day forecasts**: Up to 16 days for weather + +## Prerequisites + +- Docker and Docker Compose +- [Plano CLI](https://docs.planoai.dev) installed +- OpenAI API key + +## Quick Start + +### 1. Set Environment Variables + +Create a `.env` file or export environment variables: + +```bash +export AEROAPI_KEY="your-flightaware-api-key" # Optional, demo key included +``` + +### 2. Start All Agents with Docker + +```bash +chmod +x start_agents.sh +./start_agents.sh +``` + +Or directly: + +```bash +docker compose up --build +``` + +This starts: +- Weather Agent on port 10510 +- Flight Agent on port 10520 +- Open WebUI on port 8080 + +### 3. Start Plano Orchestrator + +In a new terminal: + +```bash +cd /path/to/travel_agents +planoai up config.yaml +# Or if installed with uv: uvx planoai up config.yaml +``` + +The gateway will start on port 8001 and route requests to the appropriate agents. + +### 4. Test the System + +**Option 1**: Use Open WebUI at http://localhost:8080 + +**Option 2**: Send requests directly to Plano Orchestrator: + +```bash +curl http://localhost:8001/v1/chat/completions \ + -H "Content-Type: application/json" \ + -d '{ + "model": "gpt-4o", + "messages": [ + {"role": "user", "content": "What is the weather like in Paris?"} + ] + }' +``` + +## Example Conversations + +### Weather Query +``` +User: What's the weather in Istanbul? +Assistant: [Weather Agent provides current conditions and forecast] +``` + +### Flight Search +``` +User: What flights go from London to Seattle? +Assistant: [Flight Agent shows available flights with schedules and status] +``` + +### Multi-Agent Conversation +``` +User: What's the weather in Istanbul? +Assistant: [Weather information] + +User: Do they fly out from Seattle? +Assistant: [Flight information from Istanbul to Seattle] +``` + +The system understands context and pronouns, automatically routing to the right agent. + +### Multi-Intent Queries +``` +User: What's the weather in Seattle, and do any flights go direct to New York? +Assistant: [Both weather_agent and flight_agent respond simultaneously] + - Weather Agent: [Weather information for Seattle] + - Flight Agent: [Flight information from Seattle to New York] +``` + +The orchestrator can select multiple agents simultaneously for queries containing multiple intents. + +## Agent Details (LangChain) + +### Weather Agent +- **Port**: 10510 +- **API**: Open-Meteo (free, no API key) +- **LangChain**: Tool to fetch weather; LLM summarizes with provided data +- **Capabilities**: Current weather, multi-day forecasts, temperature, conditions, sunrise/sunset + +### Flight Agent +- **Port**: 10520 +- **API**: FlightAware AeroAPI +- **LangChain**: Tool resolves cities → IATA and fetches flights +- **Capabilities**: Real-time flight status, schedules, delays, gates, terminals, live tracking + +## Architecture + +``` + User Request + ↓ + Plano (8001) + [Orchestrator] + | + ┌────┴────┐ + ↓ ↓ +Weather Flight +Agent Agent +(10510) (10520) +[Docker] [Docker] +``` + + + +Each agent: +1. Extracts intent using GPT-4o-mini (with OpenTelemetry tracing) +2. Fetches real-time data from APIs +3. Generates response using GPT-4o +4. Streams response back to user + +Both agents run as Docker containers and communicate with Plano via `host.docker.internal`. + +## Project Structure + +``` +travel_agents/ +├── config.yaml # Plano configuration +├── docker-compose.yaml # Docker services orchestration +├── Dockerfile # Multi-agent container image +├── start_agents.sh # Quick start script +├── pyproject.toml # Python dependencies +└── src/ + └── travel_agents/ + ├── __init__.py # CLI entry point + ├── weather_agent.py # Weather forecast agent (multi-day support) + └── flight_agent.py # Flight information agent +``` + +## Configuration Files + +### config.yaml + +Defines the two agents, their descriptions, and routing configuration. The agent router uses these descriptions to intelligently route requests. + +### docker-compose.yaml + +Orchestrates the deployment of: +- Weather Agent (builds from Dockerfile) +- Flight Agent (builds from Dockerfile) +- Open WebUI (for testing) +- Jaeger (for distributed tracing) + +## Troubleshooting + +**Docker containers won't start** +- Verify Docker and Docker Compose are installed +- Check that ports 10510, 10520, 8080 are available +- Review container logs: `docker compose logs weather-agent` or `docker compose logs flight-agent` + +**Plano won't start** +- Verify Plano is installed: `plano --version` +- Ensure you're in the travel_agents directory +- Check config.yaml is valid + +**No response from agents** +- Verify all containers are running: `docker compose ps` +- Check that Plano is running on port 8001 +- Review agent logs: `docker compose logs -f` +- Verify `host.docker.internal` resolves correctly (should point to host machine) + +## API Endpoints + +All agents expose OpenAI-compatible chat completion endpoints: + +- `POST /v1/chat/completions` - Chat completion endpoint +- `GET /health` - Health check endpoint diff --git a/demos/use_cases/langchain/config.yaml b/demos/use_cases/langchain/config.yaml new file mode 100644 index 00000000..0b6aaba2 --- /dev/null +++ b/demos/use_cases/langchain/config.yaml @@ -0,0 +1,57 @@ +version: v0.3.0 + +agents: + - id: weather_agent + url: http://host.docker.internal:10510 + - id: flight_agent + url: http://host.docker.internal:10520 + +model_providers: + - model: openai/gpt-4o + access_key: $OPENAI_API_KEY + default: true + - model: openai/gpt-4o-mini + access_key: $OPENAI_API_KEY # smaller, faster, cheaper model for extracting entities like location + +listeners: + - type: agent + name: travel_booking_service + port: 8001 + router: plano_orchestrator_v1 + agents: + - id: weather_agent + description: | + + WeatherAgent is a specialized AI assistant for real-time weather information and forecasts. It provides accurate weather data for any city worldwide using the Open-Meteo API, helping travelers plan their trips with up-to-date weather conditions. + + Capabilities: + * Get real-time weather conditions and multi-day forecasts for any city worldwide using Open-Meteo API (free, no API key needed) + * Provides current temperature + * Provides multi-day forecasts + * Provides weather conditions + * Provides sunrise/sunset times + * Provides detailed weather information + * Understands conversation context to resolve location references from previous messages + * Handles weather-related questions including "What's the weather in [city]?", "What's the forecast for [city]?", "How's the weather in [city]?" + * When queries include both weather and other travel questions (e.g., flights, currency), this agent answers ONLY the weather part + + - id: flight_agent + description: | + + FlightAgent is an AI-powered tool specialized in providing live flight information between airports. It leverages the FlightAware AeroAPI to deliver real-time flight status, gate information, and delay updates. + + Capabilities: + * Get live flight information between airports using FlightAware AeroAPI + * Shows real-time flight status + * Shows scheduled/estimated/actual departure and arrival times + * Shows gate and terminal information + * Shows delays + * Shows aircraft type + * Shows flight status + * Automatically resolves city names to airport codes (IATA/ICAO) + * Understands conversation context to infer origin/destination from follow-up questions + * Handles flight-related questions including "What flights go from [city] to [city]?", "Do flights go to [city]?", "Are there direct flights from [city]?" + * When queries include both flight and other travel questions (e.g., weather, currency), this agent answers ONLY the flight part + +tracing: + random_sampling: 100 diff --git a/demos/use_cases/langchain/docker-compose.yaml b/demos/use_cases/langchain/docker-compose.yaml new file mode 100644 index 00000000..41fbe554 --- /dev/null +++ b/demos/use_cases/langchain/docker-compose.yaml @@ -0,0 +1,63 @@ + +services: + plano: + build: + context: ../../../ + dockerfile: Dockerfile + ports: + - "12000:12000" + - "8001:8001" + environment: + - ARCH_CONFIG_PATH=/config/config.yaml + - OPENAI_API_KEY=${OPENAI_API_KEY:?OPENAI_API_KEY environment variable is required but not set} + volumes: + - ./config.yaml:/app/arch_config.yaml + - /etc/ssl/cert.pem:/etc/ssl/cert.pem + weather-agent: + build: + context: . + dockerfile: Dockerfile + container_name: weather-agent + restart: always + ports: + - "10510:10510" + environment: + - LLM_GATEWAY_ENDPOINT=http://host.docker.internal:12000/v1 + command: ["uv", "run", "python", "src/travel_agents/weather_agent.py"] + extra_hosts: + - "host.docker.internal:host-gateway" + flight-agent: + build: + context: . + dockerfile: Dockerfile + container_name: flight-agent + restart: always + ports: + - "10520:10520" + environment: + - LLM_GATEWAY_ENDPOINT=http://host.docker.internal:12000/v1 + - AEROAPI_KEY=${AEROAPI_KEY:? AEROAPI_KEY environment variable is required but not set} + command: ["uv", "run", "python", "src/travel_agents/flight_agent.py"] + extra_hosts: + - "host.docker.internal:host-gateway" + open-web-ui: + image: dyrnq/open-webui:main + restart: always + ports: + - "8080:8080" + environment: + - DEFAULT_MODEL=gpt-4o-mini + - ENABLE_OPENAI_API=true + - OPENAI_API_BASE_URL=http://host.docker.internal:8001/v1 + depends_on: + - weather-agent + - flight-agent + jaeger: + build: + context: ../../shared/jaeger + container_name: jaeger + restart: always + ports: + - "16686:16686" # Jaeger UI + - "4317:4317" # OTLP gRPC receiver + - "4318:4318" # OTLP HTTP receiver diff --git a/demos/use_cases/langchain/pyproject.toml b/demos/use_cases/langchain/pyproject.toml new file mode 100644 index 00000000..096fb59e --- /dev/null +++ b/demos/use_cases/langchain/pyproject.toml @@ -0,0 +1,27 @@ +[project] +name = "travel-agents" +version = "0.1.0" +description = "Travel Booking Agents - Weather, Flight, and Currency" +readme = "README.md" +requires-python = ">=3.10" +dependencies = [ + "click>=8.2.1", + "pydantic>=2.11.7", + "fastapi>=0.115.0", + "uvicorn>=0.30.0", + "openai>=1.0.0", + "httpx>=0.24.0", + "opentelemetry-api>=1.20.0", + "langchain>=0.3.13", + "langchain-openai>=0.2.14", +] + +[project.scripts] +travel_agents = "travel_agents:main" + +[build-system] +requires = ["hatchling"] +build-backend = "hatchling.build" + +[tool.hatch.build.targets.wheel] +packages = ["src/travel_agents"] diff --git a/demos/use_cases/langchain/src/travel_agents/flight_agent.py b/demos/use_cases/langchain/src/travel_agents/flight_agent.py new file mode 100644 index 00000000..3a656cf5 --- /dev/null +++ b/demos/use_cases/langchain/src/travel_agents/flight_agent.py @@ -0,0 +1,407 @@ +import json +from fastapi import FastAPI, Request +from fastapi.responses import JSONResponse +from openai import AsyncOpenAI +import os +import logging +import uvicorn +from datetime import datetime +import httpx +from typing import Optional +import uuid +import time +from opentelemetry.propagate import extract, inject +from pydantic import BaseModel, Field +from langchain_openai import ChatOpenAI +from langchain_core.tools import tool +from langchain.prompts import ChatPromptTemplate +from langchain.agents import create_tool_calling_agent, AgentExecutor + +logging.basicConfig( + level=logging.INFO, + format="%(asctime)s - [FLIGHT_AGENT] - %(levelname)s - %(message)s", +) +logger = logging.getLogger(__name__) + +LLM_GATEWAY_ENDPOINT = os.getenv( + "LLM_GATEWAY_ENDPOINT", "http://host.docker.internal:12000/v1" +) +FLIGHT_MODEL = "openai/gpt-4o" +EXTRACTION_MODEL = "openai/gpt-4o-mini" + +AEROAPI_BASE_URL = "https://aeroapi.flightaware.com/aeroapi" +AEROAPI_KEY = os.getenv("AEROAPI_KEY") + +http_client = httpx.AsyncClient(timeout=30.0) +openai_client = AsyncOpenAI(base_url=LLM_GATEWAY_ENDPOINT, api_key="EMPTY") + + +class FlightSearchInput(BaseModel): + origin_city: str = Field(..., description="Origin city for the flight search") + destination_city: str = Field( + ..., description="Destination city for the flight search" + ) + travel_date: Optional[str] = Field( + None, + description="Optional travel date in YYYY-MM-DD format. If not provided, defaults to today.", + ) + + +SYSTEM_PROMPT = """You are a travel planning assistant specializing in flight information. You support both direct flights AND multi-leg connecting flights. + +Flight data fields: +- airline: Full airline name (e.g., "Delta Air Lines") +- flight_number: Flight identifier (e.g., "DL123") +- departure_time/arrival_time: ISO 8601 timestamps +- origin/destination: Airport IATA codes +- aircraft_type: Aircraft model code (e.g., "B739") +- status: Flight status (e.g., "Scheduled", "Delayed") +- terminal_origin/gate_origin: Departure terminal and gate (may be null) + +Your task: +1. Present flights clearly with airline, flight number, readable times, airports, and aircraft +2. Organize chronologically by departure time +3. Convert ISO timestamps to readable format (e.g., "11:00 AM") +4. Include terminal/gate info when available +5. For multi-leg flights: present each leg separately with connection timing + +Multi-agent context: If the conversation includes information from other sources, incorporate it naturally into your response.""" + +ROUTE_EXTRACTION_PROMPT = """Extract flight route and travel date. Support direct AND multi-leg flights. + +Rules: +1. Patterns: "flight from X to Y", "X to Y to Z", "fly from X through Y to Z" +2. For multi-leg (e.g., "Seattle to Dubai to Lahore"), extract ALL cities in order +3. Extract dates: "tomorrow", "next week", "December 25", "12/25", "on Monday" +4. Use conversation context for missing details + +Output format: {"cities": ["City1", "City2", ...], "date": "YYYY-MM-DD" or null} + +Examples: +- "Flight from Seattle to Atlanta tomorrow" → {"cities": ["Seattle", "Atlanta"], "date": "2026-01-07"} +- "Seattle to Dubai to Lahore" → {"cities": ["Seattle", "Dubai", "Lahore"], "date": null} +- "Flights from LA through Chicago to NYC" → {"cities": ["LA", "Chicago", "NYC"], "date": null} + +Today is January 6, 2026. Extract flight route:""" + + +async def extract_flight_route(messages: list, request: Request) -> dict: + try: + ctx = extract(request.headers) + extra_headers = {} + inject(extra_headers, context=ctx) + + response = await openai_client.chat.completions.create( + model=EXTRACTION_MODEL, + messages=[ + {"role": "system", "content": ROUTE_EXTRACTION_PROMPT}, + *[ + {"role": m.get("role"), "content": m.get("content")} + for m in messages[-5:] + ], + ], + temperature=0.1, + max_tokens=100, + extra_headers=extra_headers or None, + ) + + result = response.choices[0].message.content.strip() + if "```json" in result: + result = result.split("```json")[1].split("```")[0].strip() + elif "```" in result: + result = result.split("```")[1].split("```")[0].strip() + + route = json.loads(result) + cities = route.get("cities", []) + + if not cities and (route.get("origin") or route.get("destination")): + cities = [c for c in [route.get("origin"), route.get("destination")] if c] + + return {"cities": cities, "date": route.get("date")} + + except Exception as e: + logger.error(f"Error extracting flight route: {e}") + return {"cities": [], "date": None} + + +async def resolve_airport_code(city_name: str, request: Request) -> Optional[str]: + if not city_name: + return None + + try: + ctx = extract(request.headers) + extra_headers = {} + inject(extra_headers, context=ctx) + + response = await openai_client.chat.completions.create( + model=EXTRACTION_MODEL, + messages=[ + { + "role": "system", + "content": "Convert city names to primary airport IATA codes. Return only the 3-letter code. Examples: Seattle→SEA, Atlanta→ATL, New York→JFK, Dubai→DXB, Lahore→LHE", + }, + {"role": "user", "content": city_name}, + ], + temperature=0.1, + max_tokens=10, + extra_headers=extra_headers or None, + ) + + code = response.choices[0].message.content.strip().upper() + code = code.strip("\"'`.,!? \n\t") + return code if len(code) == 3 else None + + except Exception as e: + logger.error(f"Error resolving airport code for {city_name}: {e}") + return None + + +async def fetch_flights( + origin_code: str, dest_code: str, travel_date: Optional[str] = None +) -> dict: + """Fetch flights between two airports. Note: FlightAware limits to 2 days ahead.""" + search_date = travel_date or datetime.now().strftime("%Y-%m-%d") + + search_date_obj = datetime.strptime(search_date, "%Y-%m-%d") + today = datetime.now().replace(hour=0, minute=0, second=0, microsecond=0) + days_ahead = (search_date_obj - today).days + + if days_ahead > 2: + logger.warning( + f"Date {search_date} is {days_ahead} days ahead, exceeds FlightAware limit" + ) + return { + "origin_code": origin_code, + "destination_code": dest_code, + "flights": [], + "count": 0, + "error": f"FlightAware API only provides data up to 2 days ahead. Requested date ({search_date}) is {days_ahead} days away.", + } + + try: + url = f"{AEROAPI_BASE_URL}/airports/{origin_code}/flights/to/{dest_code}" + headers = {"x-apikey": AEROAPI_KEY} + params = { + "start": f"{search_date}T00:00:00Z", + "end": f"{search_date}T23:59:59Z", + "connection": "nonstop", + "max_pages": 1, + } + + response = await http_client.get(url, headers=headers, params=params) + + if response.status_code != 200: + logger.error( + f"FlightAware API error {response.status_code}: {response.text}" + ) + return { + "origin_code": origin_code, + "destination_code": dest_code, + "flights": [], + "count": 0, + } + + data = response.json() + flights = [] + + for flight_group in data.get("flights", [])[:5]: + segments = flight_group.get("segments", []) + if not segments: + continue + + flight = segments[0] + flights.append( + { + "airline": flight.get("operator"), + "flight_number": flight.get("ident_iata") or flight.get("ident"), + "departure_time": flight.get("scheduled_out"), + "arrival_time": flight.get("scheduled_in"), + "origin": flight["origin"].get("code_iata") + if isinstance(flight.get("origin"), dict) + else None, + "destination": flight["destination"].get("code_iata") + if isinstance(flight.get("destination"), dict) + else None, + "aircraft_type": flight.get("aircraft_type"), + "status": flight.get("status"), + "terminal_origin": flight.get("terminal_origin"), + "gate_origin": flight.get("gate_origin"), + } + ) + + logger.info(f"Found {len(flights)} flights from {origin_code} to {dest_code}") + return { + "origin_code": origin_code, + "destination_code": dest_code, + "flights": flights, + "count": len(flights), + } + + except Exception as e: + logger.error(f"Error fetching flights: {e}") + return { + "origin_code": origin_code, + "destination_code": dest_code, + "flights": [], + "count": 0, + } + + +def build_flight_context(cities: list, airport_codes: list, legs_data: list) -> str: + if len(cities) == 2: + leg = legs_data[0] + flight_data = { + "flights": leg["flights"], + "count": len(leg["flights"]), + "origin_code": leg["origin_code"], + "destination_code": leg["dest_code"], + } + if leg["flights"]: + return f""" +Flight search results from {leg['origin']} ({leg['origin_code']}) to {leg['destination']} ({leg['dest_code']}): + +Flight data in JSON format: +{json.dumps(flight_data, indent=2)} + +Present these {len(leg['flights'])} flight(s) to the user clearly.""" + else: + error = leg.get("error") or "No direct flights found" + return f""" +Flight search from {leg['origin']} ({leg['origin_code']}) to {leg['destination']} ({leg['dest_code']}): + +Result: {error} + +Let the user know and suggest alternatives if appropriate.""" + + route_str = " → ".join( + [f"{city} ({code})" for city, code in zip(cities, airport_codes)] + ) + context = f"\nMulti-leg flight search: {route_str}\n\n" + + for leg in legs_data: + context += f"**Leg {leg['leg']}: {leg['origin']} ({leg['origin_code']}) → {leg['destination']} ({leg['dest_code']})**\n" + if leg["flights"]: + leg_data = {"flights": leg["flights"], "count": len(leg["flights"])} + context += f"Flight data:\n{json.dumps(leg_data, indent=2)}\n\n" + elif leg.get("error"): + context += f"Error: {leg['error']}\n\n" + else: + context += "No direct flights found for this leg.\n\n" + + context += "Present this itinerary clearly. For each leg, show available flights by departure time. Note connection timing between legs." + return context + + +app = FastAPI(title="Flight Information Agent", version="1.0.0") + + +@app.post("/v1/chat/completions") +async def handle_request(request: Request): + request_body = await request.json() + content = await invoke_flight_agent(request, request_body) + return JSONResponse({"content": content}) + + +async def invoke_flight_agent(request: Request, request_body: dict): + messages = request_body.get("messages", []) + + conversation = "\n".join( + [f"{m.get('role')}: {m.get('content')}" for m in messages if m.get("content")] + ) + + ctx = extract(request.headers) + extra_headers = {"x-envoy-max-retries": "3"} + inject(extra_headers, context=ctx) + + @tool("search_flights", args_schema=FlightSearchInput) + async def search_flights( + origin_city: str, destination_city: str, travel_date: Optional[str] = None + ): + """Search for flights between two cities. Supports optional travel date.""" + origin_code = await resolve_airport_code(origin_city, request) + dest_code = await resolve_airport_code(destination_city, request) + + if not origin_code or not dest_code: + return { + "error": "Could not resolve airport codes for provided cities.", + "origin_city": origin_city, + "destination_city": destination_city, + } + + flight_data = await fetch_flights(origin_code, dest_code, travel_date) + return { + "origin_city": origin_city, + "destination_city": destination_city, + "origin_code": origin_code, + "destination_code": dest_code, + "travel_date": travel_date or datetime.now().strftime("%Y-%m-%d"), + "flights": flight_data.get("flights", []), + "count": flight_data.get("count", 0), + "error": flight_data.get("error"), + } + + tools = [search_flights] + + prompt = ChatPromptTemplate.from_messages( + [ + ("system", SYSTEM_PROMPT), + ( + "user", + "Conversation:\n{conversation}\n\nUse tools to fetch real flight options. Be concise and clear.", + ), + ] + ) + + llm = ChatOpenAI( + model=FLIGHT_MODEL, + api_key="EMPTY", + base_url=LLM_GATEWAY_ENDPOINT, + temperature=request_body.get("temperature", 0.7), + max_tokens=request_body.get("max_tokens", 1000), + streaming=False, + default_headers=extra_headers, + ) + + agent = create_tool_calling_agent(llm, tools, prompt) + executor = AgentExecutor(agent=agent, tools=tools, verbose=False) + + try: + result = await executor.ainvoke({"conversation": conversation}) + return result.get("output", "") + except Exception as e: + logger.error(f"Error generating response: {e}") + return "I’m having trouble retrieving flight information right now. Please try again." + + +@app.get("/health") +async def health_check(): + return {"status": "healthy", "agent": "flight_information"} + + +def start_server(host: str = "0.0.0.0", port: int = 10520): + uvicorn.run( + app, + host=host, + port=port, + log_config={ + "version": 1, + "disable_existing_loggers": False, + "formatters": { + "default": { + "format": "%(asctime)s - [FLIGHT_AGENT] - %(levelname)s - %(message)s" + } + }, + "handlers": { + "default": { + "formatter": "default", + "class": "logging.StreamHandler", + "stream": "ext://sys.stdout", + } + }, + "root": {"level": "INFO", "handlers": ["default"]}, + }, + ) + + +if __name__ == "__main__": + start_server() diff --git a/demos/use_cases/langchain/src/travel_agents/weather_agent.py b/demos/use_cases/langchain/src/travel_agents/weather_agent.py new file mode 100644 index 00000000..cdcbe75f --- /dev/null +++ b/demos/use_cases/langchain/src/travel_agents/weather_agent.py @@ -0,0 +1,424 @@ +import json +import re +from fastapi import FastAPI, Request +from fastapi.responses import StreamingResponse +from openai import AsyncOpenAI +import os +import logging +import time +import uuid +import uvicorn +from datetime import datetime, timedelta +import httpx +from typing import Optional +from urllib.parse import quote +from opentelemetry.propagate import extract, inject +from pydantic import BaseModel, Field +from langchain_openai import ChatOpenAI +from langchain_core.tools import tool +from langchain.prompts import ChatPromptTemplate +from langchain.agents import create_tool_calling_agent, AgentExecutor + +# Set up logging +logging.basicConfig( + level=logging.INFO, + format="%(asctime)s - [WEATHER_AGENT] - %(levelname)s - %(message)s", +) +logger = logging.getLogger(__name__) + + +# Configuration for plano LLM gateway +LLM_GATEWAY_ENDPOINT = os.getenv( + "LLM_GATEWAY_ENDPOINT", "http://host.docker.internal:12001/v1" +) +WEATHER_MODEL = "openai/gpt-4o" +LOCATION_MODEL = "openai/gpt-4o-mini" + +# Initialize OpenAI client for plano +openai_client_via_plano = AsyncOpenAI( + base_url=LLM_GATEWAY_ENDPOINT, + api_key="EMPTY", +) + +# FastAPI app for REST server +app = FastAPI(title="Weather Forecast Agent", version="1.0.0") + +# HTTP client for API calls +http_client = httpx.AsyncClient(timeout=10.0) + + +# Utility functions +def celsius_to_fahrenheit(temp_c: Optional[float]) -> Optional[float]: + """Convert Celsius to Fahrenheit.""" + return round(temp_c * 9 / 5 + 32, 1) if temp_c is not None else None + + +def get_user_messages(messages: list) -> list: + """Extract user messages from message list.""" + return [msg for msg in messages if msg.get("role") == "user"] + + +def get_last_user_content(messages: list) -> str: + """Get the content of the most recent user message.""" + for msg in reversed(messages): + if msg.get("role") == "user": + return msg.get("content", "").lower() + return "" + + +async def get_weather_data( + request: Request, + messages: list, + days: int = 1, + traceparent_header: str = None, + request_id: str = None, +): + """Extract location from user's conversation and fetch weather data from Open-Meteo API. + + This function does two things: + 1. Uses an LLM to extract the location from the user's message + 2. Fetches weather data for that location from Open-Meteo + + Currently returns only current day weather. Want to add multi-day forecasts? + """ + instructions = """You are a city name extractor. Look at the FINAL user message ONLY and extract the city name. + +The FINAL user message will be the LAST message with role "user" in the conversation. + +IMPORTANT: Ignore all previous messages. Focus ONLY on the FINAL user message. + +Examples of what to extract from the FINAL user message: +- "What's the weather in Seattle?" → Seattle +- "What's the weather in San Francisco?" → San Francisco +- "What about Dubai?" → Dubai +- "How's the weather in Tokyo today?" → Tokyo +- "Tell me about Lahore" → Lahore +- "What about there?" → Look at conversation for the last mentioned city + +Output ONLY the city name. Nothing else. One word or city name only. +If no city can be found, output: NOT_FOUND""" + + try: + user_messages = [ + msg.get("content") for msg in messages if msg.get("role") == "user" + ] + + if not user_messages: + location = "New York" + else: + ctx = extract(request.headers) + extra_headers = {} + if request_id: + extra_headers["x-request-id"] = request_id + inject(extra_headers, context=ctx) + # For location extraction, pass full conversation for context (e.g., "there" = previous destination) + response = await openai_client_via_plano.chat.completions.create( + model=LOCATION_MODEL, + messages=[ + {"role": "system", "content": instructions}, + *[ + {"role": msg.get("role"), "content": msg.get("content")} + for msg in messages + ], + ], + temperature=0.1, + max_tokens=10, + extra_headers=extra_headers if extra_headers else None, + ) + + location = response.choices[0].message.content.strip().strip("\"'`.,!?") + logger.info(f"Location extraction result: '{location}'") + + if not location or location.upper() == "NOT_FOUND": + location = "New York" + logger.info(f"Location not found, defaulting to: {location}") + + except Exception as e: + logger.error(f"Error extracting location: {e}") + location = "New York" + + logger.info(f"Fetching weather for location: '{location}' (days: {days})") + + # Step 2: Fetch weather data for the extracted location + try: + # Geocode city to get coordinates + geocode_url = f"https://geocoding-api.open-meteo.com/v1/search?name={quote(location)}&count=1&language=en&format=json" + geocode_response = await http_client.get(geocode_url) + + if geocode_response.status_code != 200 or not geocode_response.json().get( + "results" + ): + logger.warning(f"Could not geocode {location}, using New York") + location = "New York" + geocode_url = f"https://geocoding-api.open-meteo.com/v1/search?name={quote(location)}&count=1&language=en&format=json" + geocode_response = await http_client.get(geocode_url) + + geocode_data = geocode_response.json() + if not geocode_data.get("results"): + return { + "location": location, + "weather": { + "date": datetime.now().strftime("%Y-%m-%d"), + "day_name": datetime.now().strftime("%A"), + "temperature_c": None, + "temperature_f": None, + "weather_code": None, + "error": "Could not retrieve weather data", + }, + } + + result = geocode_data["results"][0] + location_name = result.get("name", location) + latitude = result["latitude"] + longitude = result["longitude"] + + logger.info( + f"Geocoded '{location}' to {location_name} ({latitude}, {longitude})" + ) + + # Get weather forecast + weather_url = ( + f"https://api.open-meteo.com/v1/forecast?" + f"latitude={latitude}&longitude={longitude}&" + f"current=temperature_2m&" + f"daily=sunrise,sunset,temperature_2m_max,temperature_2m_min,weather_code&" + f"forecast_days={days}&timezone=auto" + ) + + weather_response = await http_client.get(weather_url) + if weather_response.status_code != 200: + return { + "location": location_name, + "weather": { + "date": datetime.now().strftime("%Y-%m-%d"), + "day_name": datetime.now().strftime("%A"), + "temperature_c": None, + "temperature_f": None, + "weather_code": None, + "error": "Could not retrieve weather data", + }, + } + + weather_data = weather_response.json() + current_temp = weather_data.get("current", {}).get("temperature_2m") + daily = weather_data.get("daily", {}) + + # Build forecast for requested number of days + forecast = [] + for i in range(days): + date_str = daily["time"][i] + date_obj = datetime.fromisoformat(date_str.replace("Z", "+00:00")) + + temp_max = ( + daily.get("temperature_2m_max", [])[i] + if daily.get("temperature_2m_max") + else None + ) + temp_min = ( + daily.get("temperature_2m_min", [])[i] + if daily.get("temperature_2m_min") + else None + ) + weather_code = ( + daily.get("weather_code", [0])[i] if daily.get("weather_code") else 0 + ) + sunrise = daily.get("sunrise", [])[i] if daily.get("sunrise") else None + sunset = daily.get("sunset", [])[i] if daily.get("sunset") else None + + # Use current temp for today, otherwise use max temp + temp_c = ( + temp_max + if temp_max is not None + else (current_temp if i == 0 and current_temp else temp_min) + ) + + forecast.append( + { + "date": date_str.split("T")[0], + "day_name": date_obj.strftime("%A"), + "temperature_c": round(temp_c, 1) if temp_c is not None else None, + "temperature_f": celsius_to_fahrenheit(temp_c), + "temperature_max_c": ( + round(temp_max, 1) if temp_max is not None else None + ), + "temperature_min_c": ( + round(temp_min, 1) if temp_min is not None else None + ), + "weather_code": weather_code, + "sunrise": sunrise.split("T")[1] if sunrise else None, + "sunset": sunset.split("T")[1] if sunset else None, + } + ) + + return {"location": location_name, "forecast": forecast} + + except Exception as e: + logger.error(f"Error getting weather data: {e}") + return { + "location": location, + "weather": { + "date": datetime.now().strftime("%Y-%m-%d"), + "day_name": datetime.now().strftime("%A"), + "temperature_c": None, + "temperature_f": None, + "weather_code": None, + "error": "Could not retrieve weather data", + }, + } + + +class WeatherToolInput(BaseModel): + city: str = Field(..., description="City name to look up weather for") + days: int = Field( + 1, + ge=1, + le=16, + description="Number of forecast days (1-16). Defaults to 1 (current).", + ) + + +@app.post("/v1/chat/completions") +async def handle_request(request: Request): + """HTTP endpoint for chat completions with LangChain agent execution.""" + + request_body = await request.json() + messages = request_body.get("messages", []) + is_streaming = request_body.get("stream", True) + + logger.info("messages detail json dumps: %s", json.dumps(messages, indent=2)) + + traceparent_header = request.headers.get("traceparent") + request_id = request.headers.get("x-request-id") + + return StreamingResponse( + invoke_weather_agent(request, request_body, traceparent_header, request_id), + media_type="text/plain", + headers={ + "content-type": "text/event-stream", + }, + ) + + +async def invoke_weather_agent( + request: Request, + request_body: dict, + traceparent_header: str = None, + request_id: str = None, +): + """Generate chat completions using a LangChain tool-calling agent.""" + messages = request_body.get("messages", []) + + # Build conversation string for agent context + conversation = "\n".join( + [f"{m.get('role')}: {m.get('content')}" for m in messages if m.get("content")] + ) + + # Trace propagation for downstream requests + ctx = extract(request.headers) + extra_headers = {"x-envoy-max-retries": "3"} + if request_id: + extra_headers["x-request-id"] = request_id + inject(extra_headers, context=ctx) + + # Detect if user wants multi-day forecast from the last user message + last_user_msg = get_last_user_content(messages) + days = 1 + if "forecast" in last_user_msg or "week" in last_user_msg: + days = 7 + elif "tomorrow" in last_user_msg: + days = 2 + day_match = re.search(r"(\d{1,2})\s+day", last_user_msg) + if day_match: + requested_days = int(day_match.group(1)) + days = min(requested_days, 16) + + @tool("get_weather_forecast", args_schema=WeatherToolInput) + async def get_weather_forecast(city: str, days: int = 1): + """Lookup weather for a city and return structured forecast.""" + return await get_weather_data( + request, + messages + [{"role": "user", "content": city}], + days, + traceparent_header, + request_id, + ) + + tools = [get_weather_forecast] + + system_prompt = """You are a weather assistant in a multi-agent system. +Use tools to fetch live weather and provide concise, friendly answers. +If no city is provided, pick a sensible default (e.g., New York) and say you defaulted.""" + + prompt = ChatPromptTemplate.from_messages( + [ + ("system", system_prompt), + ( + "user", + "Conversation:\n{conversation}\n\nIf needed, call tools to get the latest weather.", + ), + ] + ) + + llm = ChatOpenAI( + model=WEATHER_MODEL, + api_key="EMPTY", + base_url=LLM_GATEWAY_ENDPOINT, + temperature=request_body.get("temperature", 0.7), + max_tokens=request_body.get("max_tokens", 1000), + streaming=False, + default_headers=extra_headers, + ) + + agent = create_tool_calling_agent(llm, tools, prompt) + executor = AgentExecutor(agent=agent, tools=tools, verbose=False) + + try: + result = await executor.ainvoke({"conversation": conversation, "days": days}) + content = result.get("output", "") + # Stream back plain SSE data like a LangChain agent out-of-the-box + yield f"data: {content}\n\n" + yield "data: [DONE]\n\n" + + except Exception as e: + logger.error(f"Error generating weather response: {e}") + yield "data: I’m having trouble retrieving weather information right now. Please try again.\n\n" + yield "data: [DONE]\n\n" + + +@app.get("/health") +async def health_check(): + """Health check endpoint.""" + return {"status": "healthy", "agent": "weather_forecast"} + + +def start_server(host: str = "localhost", port: int = 10510): + """Start the REST server.""" + uvicorn.run( + app, + host=host, + port=port, + log_config={ + "version": 1, + "disable_existing_loggers": False, + "formatters": { + "default": { + "format": "%(asctime)s - [WEATHER_AGENT] - %(levelname)s - %(message)s", + }, + }, + "handlers": { + "default": { + "formatter": "default", + "class": "logging.StreamHandler", + "stream": "ext://sys.stdout", + }, + }, + "root": { + "level": "INFO", + "handlers": ["default"], + }, + }, + ) + + +if __name__ == "__main__": + start_server(host="0.0.0.0", port=10510) diff --git a/demos/use_cases/langchain/test.rest b/demos/use_cases/langchain/test.rest new file mode 100644 index 00000000..f3ecaf66 --- /dev/null +++ b/demos/use_cases/langchain/test.rest @@ -0,0 +1,43 @@ +@llm_endpoint = http://localhost:12000 + +### Travel Agent Chat Completion Request +POST {{llm_endpoint}}/v1/chat/completions HTTP/1.1 +Content-Type: application/json + +{ + "model": "gpt-4o", + "messages": [ + { + "role": "user", + "content": "What's the weather in Seattle?" + }, + { + "role": "assistant", + "content": "The weather in Seattle is sunny with a temperature of 60 degrees Fahrenheit." + }, + { + "role": "user", + "content": "What is one Alaska flight that goes direct to Atlanta from Seattle?" + } + ], + "max_tokens": 1000, + "stream": false, + "temperature": 1.0 +} + + +### test 8001 + +### test upstream llm +POST http://localhost:8001/v1/chat/completions HTTP/1.1 +Content-Type: application/json + +{ + "messages": [ + { + "role": "system", + "content": "\nCurrent weather data for Seattle:\n\n{\n \"location\": \"Seattle\",\n \"forecast\": [\n {\n \"date\": \"2025-12-22\",\n \"day_name\": \"Monday\",\n \"temperature_c\": 8.3,\n \"temperature_f\": 46.9,\n \"temperature_max_c\": 8.3,\n \"temperature_min_c\": 2.8,\n \"condition\": \"Rainy\",\n \"sunrise\": \"07:55\",\n \"sunset\": \"16:20\"\n }\n ]\n}\n\nUse this data to answer the user's weather query." + } + ], + "model": "gpt-4o", +} diff --git a/demos/use_cases/langchain/travel_agent_request.rest b/demos/use_cases/langchain/travel_agent_request.rest new file mode 100644 index 00000000..90a92995 --- /dev/null +++ b/demos/use_cases/langchain/travel_agent_request.rest @@ -0,0 +1,30 @@ +@llm_endpoint = http://localhost:12000 + +### Travel Agent Chat Completion - Full Conversation +POST {{llm_endpoint}}/v1/chat/completions HTTP/1.1 +Content-Type: application/json + +{ + "model": "gpt-4o", + "messages": [ + { + "role": "system", + "content": "You are a professional travel planner assistant. Your role is to provide accurate, clear, and helpful information about weather and flights based on the structured data provided to you.\n\nCRITICAL INSTRUCTIONS:\n\n1. DATA STRUCTURE:\n \n WEATHER DATA:\n - You will receive weather data as JSON in a system message\n - The data contains a \"location\" field (string) and a \"forecast\" array\n - Each forecast entry has: date, day_name, temperature_c, temperature_f, temperature_max_c, temperature_min_c, condition, sunrise, sunset\n - Some fields may be null/None - handle these gracefully\n \n FLIGHT DATA:\n - You will receive flight information in a system message\n - Flight data includes: airline, flight number, departure time, arrival time, origin airport, destination airport, aircraft type, status, gate, terminal\n - Information may include both scheduled and estimated times\n - Some fields may be unavailable - handle these gracefully\n\n2. WEATHER HANDLING:\n - For single-day queries: Use temperature_c/temperature_f (current/primary temperature)\n - For multi-day forecasts: Use temperature_max_c and temperature_min_c when available\n - Always provide temperatures in both Celsius and Fahrenheit when available\n - If temperature is null, say \"temperature data unavailable\" rather than making up numbers\n - Use exact condition descriptions provided (e.g., \"Clear sky\", \"Rainy\", \"Partly Cloudy\")\n - Add helpful context when appropriate (e.g., \"perfect for outdoor activities\" for clear skies)\n\n3. FLIGHT HANDLING:\n - Present flight information clearly with airline name and flight number\n - Include departure and arrival times with time zones when provided\n - Mention origin and destination airports with their codes\n - Include gate and terminal information when available\n - Note aircraft type if relevant to the query\n - Highlight any status updates (delays, early arrivals, etc.)\n - For multiple flights, list them in chronological order by departure time\n - If specific details are missing, acknowledge this rather than inventing information\n\n4. MULTI-PART QUERIES:\n - Users may ask about both weather and flights in one message\n - Answer ALL parts of the query that you have data for\n - Organize your response logically - typically weather first, then flights, or vice versa based on the query\n - Provide complete information for each topic without mentioning other agents\n - If you receive data for only one topic but the user asked about multiple, answer what you can with the provided data\n\n5. ERROR HANDLING:\n - If weather forecast contains an \"error\" field, acknowledge the issue politely\n - If temperature or condition is null/None, mention that specific data is unavailable\n - If flight details are incomplete, state which information is unavailable\n - Never invent or guess weather or flight data - only use what's provided\n - If location couldn't be determined, acknowledge this but still provide available data\n\n6. RESPONSE FORMAT:\n \n For Weather:\n - Single-day queries: Provide current conditions, temperature, and condition\n - Multi-day forecasts: List each day with date, day name, high/low temps, and condition\n - Include sunrise/sunset times when available and relevant\n \n For Flights:\n - List flights with clear numbering or bullet points\n - Include key details: airline, flight number, departure/arrival times, airports\n - Add gate, terminal, and status information when available\n - For multiple flights, organize chronologically\n \n General:\n - Use natural, conversational language\n - Be concise but complete\n - Format dates and times clearly\n - Use bullet points or numbered lists for clarity\n\n7. LOCATION HANDLING:\n - Always mention location names from the data\n - For flights, clearly state origin and destination cities/airports\n - If locations differ from what the user asked, acknowledge this politely\n\n8. RESPONSE STYLE:\n - Be friendly and professional\n - Use natural language, not technical jargon\n - Provide information in a logical, easy-to-read format\n - When answering multi-part queries, create a cohesive response that addresses all aspects\n\nRemember: Only use the data provided. Never fabricate weather or flight information. If data is missing, clearly state what's unavailable. Answer all parts of the user's query that you have data for." + }, + { + "role": "assistant", + "content": "Current weather data for Seattle:\n\n{\n \"location\": \"Seattle\",\n \"forecast\": [\n {\n \"date\": \"2025-12-22\",\n \"day_name\": \"Monday\",\n \"temperature_c\": 8.3,\n \"temperature_f\": 46.9,\n \"temperature_max_c\": 8.3,\n \"temperature_min_c\": 2.8,\n \"condition\": \"Rainy\",\n \"sunrise\": \"07:55\",\n \"sunset\": \"16:20\"\n }\n ]\n}\n\nUse this data to answer the user's weather query." + }, + { + "role": "assistant", + "content": "Here are some direct flights from Seattle to Atlanta on December 23, 2025:\n\n1. **Delta Airlines Flight DL552**\n - **Departure:** Scheduled at 3:47 PM (Seattle Time), from Seattle-Tacoma Intl (SEA)\n - **Arrival:** Scheduled at 8:31 PM (Atlanta Time), at Hartsfield-Jackson Intl (ATL)\n - **Aircraft:** Boeing 737-900 (B739)\n - **Status:** Scheduled\n - **Terminal at Atlanta:** S\n - **Estimated arrival slightly early**: 8:26 PM\n\n2. **Delta Airlines Flight DL542**\n - **Departure:** Scheduled at 12:00 PM (Seattle Time), Gate A4, from Seattle-Tacoma Intl (SEA)\n - **Arrival:** Scheduled at 4:49 PM (Atlanta Time), at Hartsfield-Jackson Intl (ATL)\n - **Aircraft:** Boeing 737-900 (B739)\n - **Status:** Scheduled\n - **Gate at Atlanta:** E10, Terminal: S\n - **Estimated early arrival**: 4:44 PM\n\n3. **Delta Airlines Flight DL554**\n - **Departure:** Scheduled at 10:15 AM (Seattle Time), Gate A10, from Seattle-Tacoma Intl (SEA)\n - **Arrival:** Scheduled at 4:05 PM (Atlanta Time), at Hartsfield-Jackson Intl (ATL)\n - **Aircraft:** Boeing 737-900 (B739)\n - **Status:** Scheduled\n - **Gate at Atlanta:** B19, Terminal: S\n - **Estimated late arrival**: 4:06 PM\n\n4. **Alaska Airlines Flight AS334**\n - **Departure:** Scheduled at 9:16 AM (Seattle Time), Gate C20, from Seattle-Tacoma Intl (SEA)\n - **Arrival:** Scheduled at 5:08 PM (Atlanta Time), at Hartsfield-Jackson Intl (ATL)\n - **Aircraft:** Boeing 737-900 (B739)\n - **Status:** Scheduled\n - **Gate at Atlanta:** C5, Terminal: N\n\nThese are just a few of the direct flights available. Please let me know if you need more details on any other specific flight." + }, + { + "role": "user", + "content": "What is the weather in Atlanta and what flight goes from Seattle to Atlanta?" + } + ], + "max_tokens": 1000, + "stream": false, + "temperature": 1.0 +} diff --git a/demos/use_cases/langchain/uv.lock b/demos/use_cases/langchain/uv.lock new file mode 100644 index 00000000..c012c558 --- /dev/null +++ b/demos/use_cases/langchain/uv.lock @@ -0,0 +1,1419 @@ +version = 1 +revision = 3 +requires-python = ">=3.10" + +[[package]] +name = "annotated-doc" +version = "0.0.4" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/57/ba/046ceea27344560984e26a590f90bc7f4a75b06701f653222458922b558c/annotated_doc-0.0.4.tar.gz", hash = "sha256:fbcda96e87e9c92ad167c2e53839e57503ecfda18804ea28102353485033faa4", size = 7288, upload-time = "2025-11-10T22:07:42.062Z" } +wheels = [ + { url = 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cli/uv.lock | 35 -- demos/use_cases/vercel-ai-sdk/.env.local | 5 - 7 files changed, 806 deletions(-) delete mode 100644 cli/planoai/init_cmd.py delete mode 100644 cli/test/test_init.py delete mode 100644 demos/use_cases/vercel-ai-sdk/.env.local diff --git a/cli/planoai/consts.py b/cli/planoai/consts.py index 1c0400fb..5b137fa6 100644 --- a/cli/planoai/consts.py +++ b/cli/planoai/consts.py @@ -1,8 +1,5 @@ import os -# Brand color - Plano purple -PLANO_COLOR = "#969FF4" - SERVICE_NAME_ARCHGW = "plano" PLANO_DOCKER_NAME = "plano" PLANO_DOCKER_IMAGE = os.getenv("PLANO_DOCKER_IMAGE", "katanemo/plano:0.4.2") diff --git a/cli/planoai/init_cmd.py b/cli/planoai/init_cmd.py deleted file mode 100644 index a4f5c6f8..00000000 --- a/cli/planoai/init_cmd.py +++ /dev/null @@ -1,701 +0,0 @@ -import re -import os -from dataclasses import dataclass -from pathlib import Path - -import rich_click as click -from rich.console import Console -from rich.panel import Panel - -from planoai.consts import PLANO_COLOR -from planoai.utils import get_llm_provider_access_keys, find_repo_root - - -@dataclass(frozen=True) -class Template: - """ - A Plano config template. - - - id: stable identifier used by --template - - title/description: UI strings - - yaml_text: embedded template contents (works in PyPI installs) - - repo_path: optional path to a real demos/.../config.yaml when running in-repo - """ - - id: str - title: str - description: str - yaml_text: str | None = None - repo_path: str | None = None - - -BUILTIN_TEMPLATES: list[Template] = [ - Template( - id="samples_python/weather_forecast", - title="samples_python/weather_forecast", - description="prompt targets + multiple LLMs (OpenAI/Groq/Anthropic)", - yaml_text="""version: v0.1.0 - -listeners: - ingress_traffic: - address: 0.0.0.0 - port: 10000 - message_format: openai - timeout: 30s - - egress_traffic: - address: 0.0.0.0 - port: 12000 - message_format: openai - timeout: 30s - -endpoints: - weather_forecast_service: - endpoint: host.docker.internal:18083 - connect_timeout: 0.005s - -overrides: - prompt_target_intent_matching_threshold: 0.6 - -llm_providers: - - access_key: $GROQ_API_KEY - model: groq/llama-3.2-3b-preview - - - access_key: $OPENAI_API_KEY - model: openai/gpt-4o - default: true - - - access_key: $OPENAI_API_KEY - model: openai/gpt-4o-mini - - - access_key: $ANTHROPIC_API_KEY - model: anthropic/claude-sonnet-4-20250514 - -system_prompt: | - You are a helpful assistant. - -prompt_targets: - - name: get_current_weather - description: Get current weather at a location. - parameters: - - name: location - description: The location to get the weather for - required: true - type: string - format: City, State - - name: days - description: the number of days for the request - required: true - type: int - endpoint: - name: weather_forecast_service - path: /weather - http_method: POST - - - name: default_target - default: true - description: This is the default target for all unmatched prompts. - endpoint: - name: weather_forecast_service - path: /default_target - http_method: POST - system_prompt: | - You are a helpful assistant! Summarize the user's request and provide a helpful response. - auto_llm_dispatch_on_response: false - -tracing: - random_sampling: 100 - trace_arch_internal: true -""", - ), - Template( - id="samples_python/stock_quote", - title="samples_python/stock_quote", - description="external API headers ($TWELVEDATA_API_KEY) + prompt targets", - yaml_text="""version: v0.1.0 - -listeners: - ingress_traffic: - address: 0.0.0.0 - port: 10000 - message_format: openai - timeout: 30s - -llm_providers: - - access_key: $OPENAI_API_KEY - model: openai/gpt-4o - -endpoints: - twelvedata_api: - endpoint: api.twelvedata.com - protocol: https - -system_prompt: | - You are a helpful assistant. - -prompt_targets: - - name: stock_quote - description: get current stock exchange rate for a given symbol - parameters: - - name: symbol - description: Stock symbol - required: true - type: str - endpoint: - name: twelvedata_api - path: /quote - http_headers: - Authorization: "apikey $TWELVEDATA_API_KEY" - system_prompt: | - You are a helpful stock exchange assistant. Parse the JSON and present it in a human-readable format. Be concise. - - - name: stock_quote_time_series - description: get historical stock exchange rate for a given symbol - parameters: - - name: symbol - description: Stock symbol - required: true - type: str - - name: interval - description: Time interval - default: 1day - enum: - - 1h - - 1day - type: str - endpoint: - name: twelvedata_api - path: /time_series - http_headers: - Authorization: "apikey $TWELVEDATA_API_KEY" - system_prompt: | - You are a helpful stock exchange assistant. Parse the JSON and present it in a human-readable format. Be concise. - -tracing: - random_sampling: 100 - trace_arch_internal: true -""", - ), - Template( - id="use_cases/claude_code_router", - title="use_cases/claude_code_router", - description="multi-model routing preferences + model_aliases (good for CLI agents)", - yaml_text="""version: v0.1 - -listeners: - egress_traffic: - address: 0.0.0.0 - port: 12000 - message_format: openai - timeout: 30s - -llm_providers: - - model: openai/gpt-5-2025-08-07 - access_key: $OPENAI_API_KEY - routing_preferences: - - name: code generation - description: generating new code snippets, functions, or boilerplate based on user prompts or requirements - - - model: openai/gpt-4.1-2025-04-14 - access_key: $OPENAI_API_KEY - routing_preferences: - - name: code understanding - description: understand and explain existing code snippets, functions, or libraries - - - model: anthropic/claude-sonnet-4-5 - default: true - access_key: $ANTHROPIC_API_KEY - - - model: anthropic/claude-haiku-4-5 - access_key: $ANTHROPIC_API_KEY - - - model: ollama/llama3.1 - base_url: http://host.docker.internal:11434 - -model_aliases: - arch.claude.code.small.fast: - target: claude-haiku-4-5 - -tracing: - random_sampling: 100 -""", - ), - Template( - id="use_cases/ollama", - title="use_cases/ollama", - description="local LLM via base_url (OpenAI-compatible provider_interface)", - yaml_text="""version: v0.1.0 - -listeners: - egress_traffic: - address: 0.0.0.0 - port: 12000 - message_format: openai - timeout: 30s - -llm_providers: - - model: my_llm_provider/llama3.2 - provider_interface: openai - base_url: http://host.docker.internal:11434 - default: true - -system_prompt: | - You are a helpful assistant. - -tracing: - random_sampling: 100 - trace_arch_internal: true -""", - ), -] - - -def _discover_repo_demo_templates(repo_root: str | None) -> dict[str, str]: - """ - Returns mapping from template id -> absolute config.yaml path for repo demos. - This is best-effort and should be fast; built-in templates remain the default. - """ - if not repo_root: - return {} - demos_dir = Path(repo_root) / "demos" - if not demos_dir.exists(): - return {} - - result: dict[str, str] = {} - # keep it bounded: just walk demos and match config.yaml (small tree) - for cfg in demos_dir.rglob("config.yaml"): - try: - rel = cfg.relative_to(demos_dir).as_posix() - except Exception: - continue - template_id = rel.removesuffix("/config.yaml") - result[template_id] = str(cfg) - return result - - -def _get_templates() -> list[Template]: - repo_root = find_repo_root() - repo_templates = _discover_repo_demo_templates(repo_root) - templates: list[Template] = [] - for t in BUILTIN_TEMPLATES: - repo_path = repo_templates.get(t.id) - templates.append( - Template( - id=t.id, - title=t.title, - description=t.description, - yaml_text=t.yaml_text, - repo_path=repo_path, - ) - ) - - # Add any extra demo configs not represented by built-ins (no embedded yaml). - builtin_ids = {t.id for t in templates} - for template_id, path in sorted(repo_templates.items()): - if template_id in builtin_ids: - continue - templates.append( - Template( - id=template_id, - title=template_id, - description="(repo demo)", - yaml_text=None, - repo_path=path, - ) - ) - return templates - - -def _resolve_template(template_id_or_path: str | None) -> Template | None: - if not template_id_or_path: - return None - - # 1) explicit path - p = Path(template_id_or_path) - if p.exists() and p.is_file(): - return Template( - id=str(p), - title=str(p), - description="(file)", - yaml_text=None, - repo_path=str(p.resolve()), - ) - - # 2) known id - templates = _get_templates() - for t in templates: - if t.id == template_id_or_path: - return t - - return None - - -def _ensure_parent_dir(path: Path) -> None: - path.parent.mkdir(parents=True, exist_ok=True) - - -def _write_clean_config(path: Path, force: bool) -> None: - _ensure_parent_dir(path) - if path.exists() and not force: - raise FileExistsError(str(path)) - # user asked for NOTHING in it: empty file, with just a newline for POSIX friendliness - path.write_text("\n", encoding="utf-8") - - -def _write_template_config(path: Path, template: Template, force: bool) -> str: - _ensure_parent_dir(path) - if path.exists() and not force: - raise FileExistsError(str(path)) - - if template.repo_path: - src = Path(template.repo_path) - text = src.read_text(encoding="utf-8") - path.write_text(text, encoding="utf-8") - return f"repo:{template.repo_path}" - - if template.yaml_text is None: - raise ValueError(f"Template '{template.id}' is not available in this install.") - - path.write_text(template.yaml_text, encoding="utf-8") - return "builtin" - - -_ENV_VAR_PATTERN = re.compile(r"\$\{?([A-Z_][A-Z0-9_]*)\}?") - - -def _extract_env_vars(config_path: Path) -> list[str]: - """ - Extract env vars referenced by the config so we can offer .env placeholders. - Uses existing logic (headers/model providers/etc) plus a regex fallback. - """ - keys: set[str] = set() - try: - extracted = get_llm_provider_access_keys(str(config_path)) - for item in extracted: - if not item: - continue - if item.startswith("$"): - keys.add(item[1:]) - else: - # some cases may return raw vars - keys.add(item) - except Exception: - # best-effort; still run regex scan - pass - - try: - text = config_path.read_text(encoding="utf-8") - for m in _ENV_VAR_PATTERN.findall(text): - keys.add(m) - except Exception: - pass - - # Filter obvious false positives if any ever appear - keys.discard("HOST") - keys.discard("PORT") - return sorted(keys) - - -def _read_env_file_keys(env_path: Path) -> set[str]: - if not env_path.exists(): - return set() - keys: set[str] = set() - for line in env_path.read_text(encoding="utf-8").splitlines(): - s = line.strip() - if not s or s.startswith("#") or "=" not in s: - continue - k = s.split("=", 1)[0].strip() - if k: - keys.add(k) - return keys - - -def _upsert_env_placeholders(env_path: Path, keys: list[str]) -> list[str]: - """ - Create or append missing keys with blank values. Returns the keys actually added. - """ - _ensure_parent_dir(env_path) - existing = _read_env_file_keys(env_path) - missing = [k for k in keys if k not in existing] - if not missing: - return [] - - header = "" - if env_path.exists(): - header = "\n# Added by `planoai init`\n" - - addition = header + "\n".join([f"{k}=" for k in missing]) + "\n" - with env_path.open("a", encoding="utf-8") as f: - f.write(addition) - return missing - - -def _questionary_style(): - # prompt_toolkit style string format - from prompt_toolkit.styles import Style - - return Style.from_dict( - { - "qmark": f"fg:{PLANO_COLOR} bold", - "question": "bold", - "answer": f"fg:{PLANO_COLOR} bold", - "pointer": f"fg:{PLANO_COLOR} bold", - "highlighted": f"fg:{PLANO_COLOR} bold", - "selected": f"fg:{PLANO_COLOR}", - "instruction": "fg:#888888", - "text": "", - "disabled": "fg:#666666", - } - ) - - -def _force_truecolor_for_prompt_toolkit() -> None: - """ - Ensure prompt_toolkit uses truecolor so our brand hex (#969FF4) renders correctly. - Without this, some terminals or environments downgrade to 8-bit and the color - can look like a generic blue. - """ - # Only set if user hasn't explicitly chosen a depth. - os.environ.setdefault("PROMPT_TOOLKIT_COLOR_DEPTH", "DEPTH_24_BIT") - - -@click.command() -@click.option( - "--template", - "template_id_or_path", - default=None, - help="Create config.yaml from a template id (e.g. use_cases/claude_code_router) or a path to a YAML file.", -) -@click.option( - "--clean", - is_flag=True, - help="Create an empty config.yaml with no contents.", -) -@click.option( - "--output", - "-o", - "output_path", - default="config.yaml", - show_default=True, - help="Where to write the generated config.", -) -@click.option( - "--force", - is_flag=True, - help="Overwrite existing config file if it already exists.", -) -@click.option( - "--no-env", - is_flag=True, - help="Do not create/update a .env file.", -) -@click.option( - "--yes", - "-y", - is_flag=True, - help="Skip interactive prompts and accept defaults (will NOT overwrite without --force).", -) -@click.option( - "--list-templates", - is_flag=True, - help="List available template ids and exit.", -) -@click.pass_context -def init( - ctx, template_id_or_path, clean, output_path, force, no_env, yes, list_templates -): - """Initialize a Plano config quickly (arrow-key interactive wizard by default).""" - import sys - - console = Console() - - if clean and template_id_or_path: - raise click.UsageError("Use either --clean or --template, not both.") - - templates = _get_templates() - - if list_templates: - console.print(f"[bold {PLANO_COLOR}]Available templates[/bold {PLANO_COLOR}]\n") - for t in templates: - origin = ( - "repo" if t.repo_path else "builtin" if t.yaml_text else "repo-only" - ) - console.print( - f" [bold]{t.id}[/bold] [dim]({origin})[/dim] - {t.description}" - ) - return - - out_path = Path(output_path).expanduser() - - # Non-interactive fast paths - if yes or clean or template_id_or_path: - if clean: - try: - _write_clean_config(out_path, force=force) - except FileExistsError: - raise click.ClickException( - f"Refusing to overwrite existing file: {out_path} (use --force)" - ) - console.print(f"[green]✓[/green] Wrote [bold]{out_path}[/bold]") - return - - if template_id_or_path: - template = _resolve_template(template_id_or_path) - if not template: - raise click.ClickException( - f"Unknown template: {template_id_or_path}\n" - f"Run: planoai init --list-templates" - ) - try: - origin = _write_template_config(out_path, template, force=force) - except FileExistsError: - raise click.ClickException( - f"Refusing to overwrite existing file: {out_path} (use --force)" - ) - console.print( - f"[green]✓[/green] Wrote [bold]{out_path}[/bold] [dim]({template.id}, {origin})[/dim]" - ) - - if no_env: - return - - env_vars = _extract_env_vars(out_path) - if env_vars: - env_path = out_path.parent / ".env" - added = _upsert_env_placeholders(env_path, env_vars) - if added: - console.print( - f"[green]✓[/green] Updated [bold]{env_path}[/bold] [dim](added: {', '.join(added)})[/dim]" - ) - else: - console.print(f"[dim]✓ .env already contains required keys[/dim]") - return - - # yes without clean/template means: do nothing useful - raise click.UsageError( - "Non-interactive mode requires --template or --clean (or omit --yes for the interactive wizard)." - ) - - # Interactive wizard - if not (sys.stdin.isatty() and sys.stdout.isatty()): - raise click.ClickException( - "Interactive mode requires a TTY.\n" - "Use one of:\n" - " planoai init --template \n" - " planoai init --clean\n" - " planoai init --list-templates" - ) - - _force_truecolor_for_prompt_toolkit() - - # Lazy import so non-interactive users don't pay the import/compat cost - import questionary - from questionary import Choice - - # Step 1: mode - mode = questionary.select( - "Welcome to Plano! Pick a starting point:", - choices=[ - Choice("Start from a demo template (recommended)", value="template"), - Choice("Create a clean config.yaml (empty)", value="clean"), - Choice("Cancel", value="cancel"), - ], - style=_questionary_style(), - pointer="❯", - ).ask() - - if mode in (None, "cancel"): - console.print("[dim]Cancelled.[/dim]") - return - - # Step 2: output path (default: config.yaml) - out_answer = questionary.text( - "Where should I write the config?", - default=str(out_path), - style=_questionary_style(), - ).ask() - if not out_answer: - console.print("[dim]Cancelled.[/dim]") - return - out_path = Path(out_answer).expanduser() - - if out_path.exists() and not force: - overwrite = questionary.confirm( - f"{out_path} already exists. Overwrite?", - default=False, - style=_questionary_style(), - ).ask() - if not overwrite: - console.print("[dim]Cancelled.[/dim]") - return - force = True - - if mode == "clean": - _write_clean_config(out_path, force=True) - console.print(f"[green]✓[/green] Wrote [bold]{out_path}[/bold]") - return - - # Step 3: choose template (curated at top, plus any repo-only demos) - # Keep the list compact and readable. - template_choices: list[Choice] = [] - for t in templates: - label = f"{t.title} — {t.description}" - template_choices.append(Choice(label, value=t)) - - template = questionary.select( - "Choose a template", - choices=template_choices, - style=_questionary_style(), - pointer="❯", - use_indicator=True, - ).ask() - if not template: - console.print("[dim]Cancelled.[/dim]") - return - - origin = _write_template_config(out_path, template, force=True) - console.print( - f"[green]✓[/green] Wrote [bold]{out_path}[/bold] [dim]({template.id}, {origin})[/dim]" - ) - - # Step 4: .env placeholders (recommended, fast) - if not no_env: - env_vars = _extract_env_vars(out_path) - if env_vars: - env_path = out_path.parent / ".env" - do_env = questionary.confirm( - "Create/update a .env file with placeholders for required keys?", - default=True, - style=_questionary_style(), - ).ask() - if do_env: - added = _upsert_env_placeholders(env_path, env_vars) - if added: - console.print( - f"[green]✓[/green] Updated [bold]{env_path}[/bold] [dim](added: {', '.join(added)})[/dim]" - ) - else: - console.print(f"[dim]✓ .env already contains required keys[/dim]") - - # Step 5: next step shortcuts (validate/up/done) - next_step = questionary.select( - "Next step", - choices=[ - Choice(f"Run: planoai validate {out_path}", value="validate"), - Choice(f"Run: planoai up {out_path}", value="up"), - Choice("Done", value="done"), - ], - default="validate", - style=_questionary_style(), - pointer="❯", - ).ask() - - if next_step == "validate": - # Reuse existing click command implementation - from planoai.main import validate as validate_cmd - - ctx.invoke(validate_cmd, config_file=str(out_path), path=".", quiet=False) - elif next_step == "up": - from planoai.main import up as up_cmd - - ctx.invoke(up_cmd, file=str(out_path), path=".", foreground=False) diff --git a/cli/planoai/main.py b/cli/planoai/main.py index b18258c6..151da306 100644 --- a/cli/planoai/main.py +++ b/cli/planoai/main.py @@ -93,7 +93,6 @@ from planoai.core import ( stop_docker_container, start_cli_agent, ) -from planoai.init_cmd import init as init_cmd from planoai.consts import ( PLANO_DOCKER_IMAGE, PLANO_DOCKER_NAME, @@ -880,7 +879,6 @@ main.add_command(logs) main.add_command(cli_agent) main.add_command(generate_prompt_targets) main.add_command(validate) -main.add_command(init_cmd, name="init") if __name__ == "__main__": main() diff --git a/cli/pyproject.toml b/cli/pyproject.toml index b901d4c2..be5ba0ca 100644 --- a/cli/pyproject.toml +++ b/cli/pyproject.toml @@ -9,7 +9,6 @@ dependencies = [ "click>=8.1.7,<9.0.0", "jinja2>=3.1.4,<4.0.0", "jsonschema>=4.23.0,<5.0.0", - "questionary>=2.1.1,<3.0.0", "pyyaml>=6.0.2,<7.0.0", "requests>=2.31.0,<3.0.0", "rich>=14.2.0", diff --git a/cli/test/test_init.py b/cli/test/test_init.py deleted file mode 100644 index ccbae873..00000000 --- a/cli/test/test_init.py +++ /dev/null @@ -1,59 +0,0 @@ -from click.testing import CliRunner - -from planoai.init_cmd import init - - -def test_init_clean_writes_empty_config(tmp_path, monkeypatch): - monkeypatch.chdir(tmp_path) - - runner = CliRunner() - result = runner.invoke(init, ["--clean"]) - - assert result.exit_code == 0, result.output - config_path = tmp_path / "config.yaml" - assert config_path.exists() - assert config_path.read_text(encoding="utf-8") == "\n" - - -def test_init_template_builtin_writes_config_and_env(tmp_path, monkeypatch): - monkeypatch.chdir(tmp_path) - - runner = CliRunner() - result = runner.invoke( - init, ["--template", "use_cases/claude_code_router", "--yes"] - ) - - assert result.exit_code == 0, result.output - - config_path = tmp_path / "config.yaml" - assert config_path.exists() - config_text = config_path.read_text(encoding="utf-8") - assert "llm_providers:" in config_text - - env_path = tmp_path / ".env" - assert env_path.exists() - env_text = env_path.read_text(encoding="utf-8") - assert "OPENAI_API_KEY=" in env_text - assert "ANTHROPIC_API_KEY=" in env_text - - -def test_init_refuses_overwrite_without_force(tmp_path, monkeypatch): - monkeypatch.chdir(tmp_path) - (tmp_path / "config.yaml").write_text("hello", encoding="utf-8") - - runner = CliRunner() - result = runner.invoke(init, ["--clean"]) - - assert result.exit_code != 0 - assert "Refusing to overwrite" in result.output - - -def test_init_force_overwrites(tmp_path, monkeypatch): - monkeypatch.chdir(tmp_path) - (tmp_path / "config.yaml").write_text("hello", encoding="utf-8") - - runner = CliRunner() - result = runner.invoke(init, ["--clean", "--force"]) - - assert result.exit_code == 0, result.output - assert (tmp_path / "config.yaml").read_text(encoding="utf-8") == "\n" diff --git a/cli/uv.lock b/cli/uv.lock index 2a3b1edc..764badcc 100644 --- a/cli/uv.lock +++ b/cli/uv.lock @@ -271,7 +271,6 @@ dependencies = [ { name = "jinja2" }, { name = "jsonschema" }, { name = "pyyaml" }, - { name = "questionary" }, { name = "requests" }, { name = "rich" }, { name = "rich-click" }, @@ -294,7 +293,6 @@ requires-dist = [ { name = "jsonschema", specifier = ">=4.23.0,<5.0.0" }, { name = "pytest", marker = "extra == 'dev'", specifier = ">=8.4.1,<9.0.0" }, { name = "pyyaml", specifier = ">=6.0.2,<7.0.0" }, - { name = "questionary", specifier = ">=2.1.1,<3.0.0" }, { name = "requests", specifier = ">=2.31.0,<3.0.0" }, { name = "rich", specifier = ">=14.2.0" }, { name = "rich-click", specifier = ">=1.9.5" }, @@ -313,18 +311,6 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/54/20/4d324d65cc6d9205fabedc306948156824eb9f0ee1633355a8f7ec5c66bf/pluggy-1.6.0-py3-none-any.whl", hash = "sha256:e920276dd6813095e9377c0bc5566d94c932c33b27a3e3945d8389c374dd4746", size = 20538, upload-time = "2025-05-15T12:30:06.134Z" }, ] -[[package]] -name = "prompt-toolkit" -version = "3.0.52" -source = { registry = "https://pypi.org/simple" } -dependencies = [ - { name = "wcwidth" }, -] -sdist = { url = "https://files.pythonhosted.org/packages/a1/96/06e01a7b38dce6fe1db213e061a4602dd6032a8a97ef6c1a862537732421/prompt_toolkit-3.0.52.tar.gz", hash = "sha256:28cde192929c8e7321de85de1ddbe736f1375148b02f2e17edd840042b1be855", size = 434198, upload-time = "2025-08-27T15:24:02.057Z" } -wheels = [ - { url = "https://files.pythonhosted.org/packages/84/03/0d3ce49e2505ae70cf43bc5bb3033955d2fc9f932163e84dc0779cc47f48/prompt_toolkit-3.0.52-py3-none-any.whl", hash = "sha256:9aac639a3bbd33284347de5ad8d68ecc044b91a762dc39b7c21095fcd6a19955", size = 391431, upload-time = "2025-08-27T15:23:59.498Z" }, -] - [[package]] name = "pygments" version = "2.19.2" @@ -396,18 +382,6 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/fa/de/02b54f42487e3d3c6efb3f89428677074ca7bf43aae402517bc7cca949f3/PyYAML-6.0.2-cp313-cp313-win_amd64.whl", hash = "sha256:8388ee1976c416731879ac16da0aff3f63b286ffdd57cdeb95f3f2e085687563", size = 156446, upload-time = "2024-08-06T20:33:04.33Z" }, ] -[[package]] -name = "questionary" -version = "2.1.1" -source = { registry = "https://pypi.org/simple" } -dependencies = [ - { name = "prompt-toolkit" }, -] -sdist = { url = "https://files.pythonhosted.org/packages/f6/45/eafb0bba0f9988f6a2520f9ca2df2c82ddfa8d67c95d6625452e97b204a5/questionary-2.1.1.tar.gz", hash = "sha256:3d7e980292bb0107abaa79c68dd3eee3c561b83a0f89ae482860b181c8bd412d", size = 25845, upload-time = "2025-08-28T19:00:20.851Z" } -wheels = [ - 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{ url = "https://files.pythonhosted.org/packages/af/b5/123f13c975e9f27ab9c0770f514345bd406d0e8d3b7a0723af9d43f710af/wcwidth-0.2.14-py2.py3-none-any.whl", hash = "sha256:a7bb560c8aee30f9957e5f9895805edd20602f2d7f720186dfd906e82b4982e1", size = 37286, upload-time = "2025-09-22T16:29:51.641Z" }, -] diff --git a/demos/use_cases/vercel-ai-sdk/.env.local b/demos/use_cases/vercel-ai-sdk/.env.local deleted file mode 100644 index 63f81dd7..00000000 --- a/demos/use_cases/vercel-ai-sdk/.env.local +++ /dev/null @@ -1,5 +0,0 @@ -AUTH_SECRET=R/dTqODnkO4dHsra7q9J78GkBTHG2YKWVnRZdTIYxmw= -AI_GATEWAY_API_KEY=vck_8OmwGvVjwIZvNnOUtXQe7QrwbJY9iqT1VkVmM1JtstIbJsazj71lCMGf -BLOB_READ_WRITE_TOKEN=vercel_blob_rw_m2VnAfbbbo7gcEMm_o6M0Zj7v7OLcz8W4fuJXTzjK6dcTSV -POSTGRES_URL=postgresql://neondb_owner:npg_bkr8fYJiw7HA@ep-wandering-surf-ahvhyf3o-pooler.c-3.us-east-1.aws.neon.tech/neondb?sslmode=require -REDIS_URL="rediss://default:ATU7AAIncDJkMmFlOTMxNjA2ZTI0ZTJmOGU0YWFhNTYxYjhmZmU1OXAyMTM2Mjc@ethical-monster-13627.upstash.io:6379" From 2d0dcce365762ef62e866caab5052f373f7865fe Mon Sep 17 00:00:00 2001 From: Musa Date: Tue, 13 Jan 2026 11:00:41 -0800 Subject: [PATCH 07/12] Revert "cli ux improvements" This reverts commit 4af90da7e986a94d2cc2da494c57f7c6d4126f24. --- cli/planoai/docker_cli.py | 3 +- cli/planoai/main.py | 227 +++++--------------------------------- 2 files changed, 32 insertions(+), 198 deletions(-) diff --git a/cli/planoai/docker_cli.py b/cli/planoai/docker_cli.py index b4e91ad4..518606a6 100644 --- a/cli/planoai/docker_cli.py +++ b/cli/planoai/docker_cli.py @@ -35,7 +35,7 @@ def docker_stop_container(container: str) -> str: def docker_remove_container(container: str) -> str: result = subprocess.run( - ["docker", "rm", "-f", container], capture_output=True, text=True, check=False + ["docker", "rm", container], capture_output=True, text=True, check=False ) return result.returncode @@ -48,6 +48,7 @@ def docker_start_plano_detached( env_args = [item for key, value in env.items() for item in ["-e", f"{key}={value}"]] port_mappings = [ + f"{12001}:{12001}", "19901:9901", ] diff --git a/cli/planoai/main.py b/cli/planoai/main.py index 151da306..284e57db 100644 --- a/cli/planoai/main.py +++ b/cli/planoai/main.py @@ -293,242 +293,75 @@ def build(): ) def up(file, path, foreground): """Starts Plano.""" - import time - from rich.console import Console - from rich.status import Status - from planoai.docker_cli import ( - docker_container_status as get_container_status, - docker_start_plano_detached, - docker_stop_container as docker_stop, - docker_remove_container, - health_check_endpoint, - ) - from planoai.core import _get_gateway_ports, stream_gateway_logs - - console = Console() - - # Print header - console.print( - f"\n[bold {PLANO_COLOR}]Plano CLI[/bold {PLANO_COLOR}] [dim]v{get_version()}[/dim]\n" - ) - # Use the utility function to find config file arch_config_file = find_config_file(path, file) # Check if the file exists if not os.path.exists(arch_config_file): - console.print( - f"[red]✗[/red] Config file not found: [dim]{arch_config_file}[/dim]" - ) - sys.exit(1) - - with Status( - "[dim]Validating configuration[/dim]", spinner="dots", spinner_style="dim" - ) as status: - ( - validation_return_code, - validation_stdout, - validation_stderr, - ) = docker_validate_plano_schema(arch_config_file) - time.sleep(0.5) + log.info(f"Error: {arch_config_file} does not exist.") + return + log.info(f"Validating {arch_config_file}") + ( + validation_return_code, + validation_stdout, + validation_stderr, + ) = docker_validate_plano_schema(arch_config_file) if validation_return_code != 0: - console.print(f"[red]✗[/red] Validation failed") - if validation_stderr: - console.print(f" [dim]{validation_stderr.strip()}[/dim]") + log.info(f"Error: Validation failed. Exiting") + log.info(f"Validation stdout: {validation_stdout}") + log.info(f"Validation stderr: {validation_stderr}") sys.exit(1) - console.print(f"[green]✓[/green] Configuration valid") - - # Set up environment + # Set the ARCH_CONFIG_FILE environment variable env_stage = { "OTEL_TRACING_HTTP_ENDPOINT": "http://host.docker.internal:4318/v1/traces", } env = os.environ.copy() + # Remove PATH variable if present env.pop("PATH", None) - - # Check access keys + # check if access_keys are preesnt in the config file access_keys = get_llm_provider_access_keys(arch_config_file=arch_config_file) + + # remove duplicates access_keys = set(access_keys) + # remove the $ from the access_keys access_keys = [item[1:] if item.startswith("$") else item for item in access_keys] - missing_keys = [] if access_keys: if file: - app_env_file = os.path.join(os.path.dirname(os.path.abspath(file)), ".env") + app_env_file = os.path.join( + os.path.dirname(os.path.abspath(file)), ".env" + ) # check the .env file in the path else: app_env_file = os.path.abspath(os.path.join(path, ".env")) - if not os.path.exists(app_env_file): + if not os.path.exists( + app_env_file + ): # check to see if the environment variables in the current environment or not for access_key in access_keys: if env.get(access_key) is None: - missing_keys.append(access_key) + log.info(f"Access Key: {access_key} not found. Exiting Start") + sys.exit(1) else: env_stage[access_key] = env.get(access_key) - else: + else: # .env file exists, use that to send parameters to Arch env_file_dict = load_env_file_to_dict(app_env_file) for access_key in access_keys: if env_file_dict.get(access_key) is None: - missing_keys.append(access_key) + log.info(f"Access Key: {access_key} not found. Exiting Start") + sys.exit(1) else: env_stage[access_key] = env_file_dict[access_key] - if missing_keys: - console.print(f"\n[red]✗[/red] [red]Missing API keys![/red]\n") - for key in missing_keys: - console.print(f" [red]•[/red] [bold]{key}[/bold] not found") - console.print(f"\n[dim]Set the environment variable(s):[/dim]") - for key in missing_keys: - console.print(f' [cyan]export {key}="your-api-key"[/cyan]') - console.print(f"\n[dim]Or create a .env file in the config directory.[/dim]\n") - sys.exit(1) - env.update(env_stage) - - start_time = time.time() - - plano_status = get_container_status(PLANO_DOCKER_NAME) - if plano_status != "not found": - with console.status( - f"[{PLANO_COLOR}]Stopping existing instance...[/{PLANO_COLOR}]", - spinner="dots", - ): - docker_stop(PLANO_DOCKER_NAME) - docker_remove_container(PLANO_DOCKER_NAME) - time.sleep(1.0) - - gateway_ports = _get_gateway_ports(arch_config_file) - - max_retries = 3 - retry_delay = 2.0 - - with console.status( - f"[{PLANO_COLOR}]Starting Plano...[/{PLANO_COLOR}]", spinner="dots" - ) as status: - for attempt in range(max_retries): - return_code, _, plano_stderr = docker_start_plano_detached( - arch_config_file, - env, - gateway_ports, - ) - - if return_code == 0: - break - - if "address already in use" in plano_stderr and attempt < max_retries - 1: - plano_status = get_container_status(PLANO_DOCKER_NAME) - if plano_status != "not found": - docker_stop(PLANO_DOCKER_NAME) - docker_remove_container(PLANO_DOCKER_NAME) - - time.sleep(retry_delay) - continue - console.print(f"[red]✗[/red] Failed to start Plano") - if plano_stderr: - console.print(f" [dim]{plano_stderr.strip()}[/dim]") - sys.exit(1) - - log_timeout = 120 - consecutive_failures = 0 - max_consecutive_failures = 10 - - while True: - plano_status = get_container_status(PLANO_DOCKER_NAME) - elapsed = time.time() - start_time - - if plano_status == "exited": - console.print(f"[red]✗[/red] Plano container exited unexpectedly") - stream_gateway_logs(follow=False) - sys.exit(1) - - if plano_status != "running": - console.print( - f"[red]✗[/red] Plano container is not running (status: {plano_status})" - ) - sys.exit(1) - - if elapsed > log_timeout: - console.print( - f"[red]✗[/red] Timeout waiting for Plano to become healthy" - ) - sys.exit(1) - - all_listeners_healthy = True - for port in gateway_ports: - if not health_check_endpoint(f"http://localhost:{port}/healthz"): - all_listeners_healthy = False - break - - if all_listeners_healthy: - break - - consecutive_failures += 1 - if consecutive_failures >= max_consecutive_failures and elapsed > 5: - console.print( - f"[red]✗[/red] Plano failed to become healthy after {elapsed:.1f}s" - ) - console.print( - f"[dim]Check logs with: docker logs {PLANO_DOCKER_NAME}[/dim]" - ) - sys.exit(1) - - status.update( - f"[{PLANO_COLOR}]Starting Plano...[/{PLANO_COLOR}] [dim]({elapsed:.1f}s)[/dim]" - ) - time.sleep(0.5) - - elapsed = time.time() - start_time - console.print( - f"[green]✓[/green] [bold]Plano is running and healthy![/bold] [dim]({elapsed:.1f}s)[/dim]" - ) - - console.print(f"\n[bold]Listening on:[/bold]") - for port in gateway_ports: - console.print(f" [bold cyan]http://localhost:{port}[/bold cyan]") - console.print() - - if foreground: - console.print(f"[dim]Streaming logs (Ctrl+C to stop)...[/dim]\n") - stream_gateway_logs(follow=True) + start_arch(arch_config_file, env, foreground=foreground) @click.command() def down(): """Stops Plano.""" - import time - from rich.console import Console - from planoai.docker_cli import ( - docker_container_status as get_container_status, - docker_stop_container as docker_stop, - docker_remove_container, - ) - - console = Console() - - # Print header - console.print( - f"\n[bold {PLANO_COLOR}]Plano CLI[/bold {PLANO_COLOR}] [dim]v{get_version()}[/dim]\n" - ) - - # Check if running - plano_status = get_container_status(PLANO_DOCKER_NAME) - - if plano_status == "not found": - console.print(f"[yellow]![/yellow] Plano is not running\n") - return - - start_time = time.time() - - with console.status( - f"[{PLANO_COLOR}]Shutting down Plano...[/{PLANO_COLOR}]", spinner="dots" - ): - docker_stop(PLANO_DOCKER_NAME) - docker_remove_container(PLANO_DOCKER_NAME) - - elapsed = time.time() - start_time - console.print( - f"[green]✓[/green] Successfully shut down Plano! [dim]({elapsed:.1f}s)[/dim]\n" - ) + stop_docker_container() @click.command() From 67a52fbcd71a35600b7c358afffaa9eaf9af8c6e Mon Sep 17 00:00:00 2001 From: Musa Date: Tue, 13 Jan 2026 11:00:41 -0800 Subject: [PATCH 08/12] Revert "add cli ux" This reverts commit 1681e29fa8a32ae027503b2c9b108a35fb721cf8. --- cli/planoai/main.py | 450 ++------------------------------- cli/pyproject.toml | 2 - cli/test/test_validate.py | 218 ---------------- cli/test/test_version_check.py | 163 ------------ cli/uv.lock | 53 ---- 5 files changed, 21 insertions(+), 865 deletions(-) delete mode 100644 cli/test/test_validate.py delete mode 100644 cli/test/test_version_check.py diff --git a/cli/planoai/main.py b/cli/planoai/main.py index 284e57db..a2737883 100644 --- a/cli/planoai/main.py +++ b/cli/planoai/main.py @@ -1,4 +1,4 @@ -import rich_click as click +import click import os import sys import subprocess @@ -6,74 +6,6 @@ import multiprocessing import importlib.metadata import json from planoai import targets - -# Brand color - Plano purple -PLANO_COLOR = "#969FF4" - -# Configure rich-click styling -click.rich_click.USE_RICH_MARKUP = True -click.rich_click.USE_MARKDOWN = False -click.rich_click.SHOW_ARGUMENTS = True -click.rich_click.GROUP_ARGUMENTS_OPTIONS = True -click.rich_click.STYLE_ERRORS_SUGGESTION = "dim italic" -click.rich_click.ERRORS_SUGGESTION = ( - "Try running the '--help' flag for more information." -) -click.rich_click.ERRORS_EPILOGUE = "" - -# Custom colors matching Plano brand -click.rich_click.STYLE_OPTION = f"dim {PLANO_COLOR}" -click.rich_click.STYLE_ARGUMENT = f"dim {PLANO_COLOR}" -click.rich_click.STYLE_COMMAND = f"bold {PLANO_COLOR}" -click.rich_click.STYLE_SWITCH = "bold green" -click.rich_click.STYLE_METAVAR = "bold yellow" -click.rich_click.STYLE_USAGE = "bold" -click.rich_click.STYLE_USAGE_COMMAND = f"bold dim {PLANO_COLOR}" -click.rich_click.STYLE_HELPTEXT_FIRST_LINE = f"white italic" -click.rich_click.STYLE_HELPTEXT = "" -click.rich_click.STYLE_HEADER_TEXT = "bold" -click.rich_click.STYLE_FOOTER_TEXT = "dim" -click.rich_click.STYLE_OPTIONS_PANEL_BORDER = "dim" -click.rich_click.ALIGN_OPTIONS_PANEL = "left" -click.rich_click.MAX_WIDTH = 100 - -# Option groups for better organization -click.rich_click.OPTION_GROUPS = { - "planoai up": [ - { - "name": "Configuration", - "options": ["--path", "file"], - }, - { - "name": "Runtime Options", - "options": ["--foreground"], - }, - ], - "planoai logs": [ - { - "name": "Log Options", - "options": ["--debug", "--follow"], - }, - ], -} - -# Command groups for main help -click.rich_click.COMMAND_GROUPS = { - "planoai": [ - { - "name": "Gateway Commands", - "commands": ["up", "down", "build", "logs"], - }, - { - "name": "Agent Commands", - "commands": ["cli-agent"], - }, - { - "name": "Utilities", - "commands": ["validate", "generate-prompt-targets"], - }, - ], -} from planoai.docker_cli import ( docker_validate_plano_schema, stream_gateway_logs, @@ -102,22 +34,19 @@ from planoai.consts import ( log = getLogger(__name__) # ref https://patorjk.com/software/taag/#p=display&f=Doom&t=Plano&x=none&v=4&h=4&w=80&we=false -LOGO = f"""[bold {PLANO_COLOR}] - ______ _ - | ___ \\ | - | |_/ / | __ _ _ __ ___ - | __/| |/ _` | '_ \\ / _ \\ - | | | | (_| | | | | (_) | - \\_| |_|\\__,_|_| |_|\\___/ -[/bold {PLANO_COLOR}]""" +logo = r""" +______ _ +| ___ \ | +| |_/ / | __ _ _ __ ___ +| __/| |/ _` | '_ \ / _ \ +| | | | (_| | | | | (_) | +\_| |_|\__,_|_| |_|\___/ + +""" # Command to build plano Docker images ARCHGW_DOCKERFILE = "./Dockerfile" -# PyPI package name for version checking -PYPI_PACKAGE_NAME = "planoai" -PYPI_URL = f"https://pypi.org/pypi/{PYPI_PACKAGE_NAME}/json" - def get_version(): try: @@ -134,110 +63,19 @@ def get_version(): return "version not found" -def get_latest_version(timeout: float = 2.0) -> str | None: - """Fetch the latest version from PyPI. - - Args: - timeout: Request timeout in seconds - - Returns: - Latest version string or None if fetch failed - """ - import requests - - try: - response = requests.get(PYPI_URL, timeout=timeout) - if response.status_code == 200: - data = response.json() - return data.get("info", {}).get("version") - except (requests.RequestException, ValueError): - # Network error or invalid JSON - fail silently - pass - return None - - -def parse_version(version_str: str) -> tuple: - """Parse version string into comparable tuple. - - Handles versions like "0.4.1", "1.0.0", "0.4.1a1" - """ - import re - - # Remove any pre-release suffixes for comparison - clean_version = re.split(r"[a-zA-Z]", version_str)[0] - parts = clean_version.split(".") - return tuple(int(p) for p in parts if p.isdigit()) - - -def check_version_status(current: str, latest: str | None) -> dict: - """Compare current version with latest and return status. - - Returns: - dict with keys: is_outdated, current, latest, message - """ - if latest is None: - return { - "is_outdated": False, - "current": current, - "latest": None, - "message": None, - } - - try: - current_tuple = parse_version(current) - latest_tuple = parse_version(latest) - is_outdated = current_tuple < latest_tuple - - return { - "is_outdated": is_outdated, - "current": current, - "latest": latest, - "message": f"Update available: {latest}" if is_outdated else None, - } - except (ValueError, TypeError): - # Version parsing failed - return { - "is_outdated": False, - "current": current, - "latest": latest, - "message": None, - } - - @click.group(invoke_without_command=True) -@click.option("--version", is_flag=True, help="Show the Plano CLI version and exit.") +@click.option("--version", is_flag=True, help="Show the plano cli version and exit.") @click.pass_context def main(ctx, version): - from rich.console import Console - - console = Console() - if version: - current_version = get_version() - console.print( - f"[bold {PLANO_COLOR}]plano[/bold {PLANO_COLOR}] version [cyan]{current_version}[/cyan]" - ) - - # Check for updates (skip if PLANO_SKIP_VERSION_CHECK is set) - if not os.environ.get("PLANO_SKIP_VERSION_CHECK"): - latest_version = get_latest_version() - status = check_version_status(current_version, latest_version) - - if status["is_outdated"]: - console.print( - f"\n[yellow]⚠ Update available:[/yellow] [bold]{status['latest']}[/bold]" - ) - console.print( - f"[dim]Run: uv pip install --upgrade {PYPI_PACKAGE_NAME}[/dim]" - ) - elif latest_version: - console.print(f"[dim]✓ You're up to date[/dim]") - + click.echo(f"plano cli version: {get_version()}") ctx.exit() + log.info(f"Starting plano cli version: {get_version()}") + if ctx.invoked_subcommand is None: - console.print(LOGO) - console.print("[dim]The Delivery Infrastructure for Agentic Apps[/dim]\n") + click.echo("""Arch (The Intelligent Prompt Gateway) CLI""") + click.echo(logo) click.echo(ctx.get_help()) @@ -283,16 +121,16 @@ def build(): @click.command() @click.argument("file", required=False) # Optional file argument @click.option( - "--path", default=".", help="Path to the directory containing config.yaml" + "--path", default=".", help="Path to the directory containing arch_config.yaml" ) @click.option( "--foreground", default=False, - help="Run Plano in the foreground. Default is False", + help="Run Arch in the foreground. Default is False", is_flag=True, ) def up(file, path, foreground): - """Starts Plano.""" + """Starts Arch.""" # Use the utility function to find config file arch_config_file = find_config_file(path, file) @@ -360,7 +198,7 @@ def up(file, path, foreground): @click.command() def down(): - """Stops Plano.""" + """Stops Arch.""" stop_docker_container() @@ -432,7 +270,7 @@ def logs(debug, follow): help="Additional settings as JSON string for the CLI agent.", ) def cli_agent(type, file, path, settings): - """Start a CLI agent connected to Plano. Currently only 'claude' is supported. + """Start a CLI agent connected to Arch. CLI_AGENT: The type of CLI agent to start (currently only 'claude' is supported) """ @@ -460,258 +298,12 @@ def cli_agent(type, file, path, settings): sys.exit(1) -def validate_config_file(config_path: str) -> dict: - """Validate a Plano config file and return validation results. - - Args: - config_path: Path to the config file - - Returns: - dict with keys: valid, errors, warnings, config, summary - """ - import yaml - from jsonschema import validate as json_validate, ValidationError - - result = { - "valid": True, - "errors": [], - "warnings": [], - "config": None, - "summary": { - "model_providers": [], - "listeners": [], - "env_vars_required": [], - }, - } - - # Check file exists - if not os.path.exists(config_path): - result["valid"] = False - result["errors"].append(f"Config file not found: {config_path}") - return result - - # Try to load YAML - try: - with open(config_path, "r") as f: - config = yaml.safe_load(f) - result["config"] = config - except yaml.YAMLError as e: - result["valid"] = False - result["errors"].append(f"Invalid YAML syntax: {e}") - return result - - # Find schema file - schema_path = find_repo_root() - if schema_path: - schema_file = os.path.join(schema_path, "config", "arch_config_schema.yaml") - else: - # Fallback - try relative paths - schema_file = None - for possible_path in [ - "../config/arch_config_schema.yaml", - "config/arch_config_schema.yaml", - ]: - if os.path.exists(possible_path): - schema_file = possible_path - break - - # Schema validation - if schema_file and os.path.exists(schema_file): - try: - with open(schema_file, "r") as f: - schema = yaml.safe_load(f) - json_validate(config, schema) - except ValidationError as e: - result["valid"] = False - result["errors"].append(f"Schema validation failed: {e.message}") - except Exception as e: - result["warnings"].append(f"Could not validate schema: {e}") - else: - result["warnings"].append("Schema file not found, skipping schema validation") - - # Extract model providers - model_providers = config.get("model_providers", config.get("llm_providers", [])) - for provider in model_providers: - model = provider.get("model", "unknown") - is_default = provider.get("default", False) - result["summary"]["model_providers"].append( - { - "model": model, - "default": is_default, - "name": provider.get("name", model), - } - ) - - # Check for env vars - access_key = provider.get("access_key", "") - if access_key.startswith("$"): - env_var = access_key[1:] - result["summary"]["env_vars_required"].append(env_var) - - # Extract listeners - listeners = config.get("listeners", {}) - if isinstance(listeners, dict): - # Legacy format - if "egress_traffic" in listeners: - result["summary"]["listeners"].append( - { - "name": "egress_traffic (LLM Gateway)", - "port": listeners["egress_traffic"].get("port", 12000), - "type": "model", - } - ) - if "ingress_traffic" in listeners: - result["summary"]["listeners"].append( - { - "name": "ingress_traffic (Prompt Gateway)", - "port": listeners["ingress_traffic"].get("port", 10000), - "type": "prompt", - } - ) - elif isinstance(listeners, list): - for listener in listeners: - result["summary"]["listeners"].append( - { - "name": listener.get("name", "unnamed"), - "port": listener.get("port", "unknown"), - "type": listener.get("type", "unknown"), - } - ) - - # Remove duplicates from env vars first - result["summary"]["env_vars_required"] = list( - set(result["summary"]["env_vars_required"]) - ) - - # Check environment variables (after deduplication) - for env_var in result["summary"]["env_vars_required"]: - if not os.environ.get(env_var): - result["warnings"].append(f"Environment variable ${env_var} is not set") - - return result - - -@click.command() -@click.argument("config_file", required=False, type=click.Path()) -@click.option( - "--path", "-p", default=".", help="Path to directory containing config.yaml" -) -@click.option("--quiet", "-q", is_flag=True, help="Only show errors, no summary") -def validate(config_file, path, quiet): - """Validate a Plano configuration file. - - If no CONFIG_FILE is provided, looks for config.yaml in the current directory - or the directory specified by --path. - """ - from rich.console import Console - from rich.table import Table - from rich.panel import Panel - - console = Console() - - # Determine config file path - if config_file: - config_path = os.path.abspath(config_file) - else: - # Look for config.yaml in path - config_path = os.path.join(os.path.abspath(path), "config.yaml") - if not os.path.exists(config_path): - # Try arch_config.yaml as fallback - config_path = os.path.join(os.path.abspath(path), "arch_config.yaml") - - # Show what we're validating - console.print(f"\n[bold]Validating:[/bold] [dim]{config_path}[/dim]\n") - - # Run validation - result = validate_config_file(config_path) - - # Display results - if result["valid"]: - console.print( - f"[bold green]✓[/bold green] [green]Configuration is valid[/green]\n" - ) - else: - console.print(f"[bold red]✗[/bold red] [red]Configuration is invalid[/red]\n") - - # Show errors - if result["errors"]: - for error in result["errors"]: - console.print(f" [red]✗ {error}[/red]") - console.print() - - # Show warnings - if result["warnings"]: - for warning in result["warnings"]: - console.print(f" [yellow]⚠ {warning}[/yellow]") - console.print() - - # Show summary (unless quiet mode) - if not quiet and result["config"]: - summary = result["summary"] - - # Model Providers table - if summary["model_providers"]: - table = Table( - title=f"[bold {PLANO_COLOR}]Model Providers[/bold {PLANO_COLOR}]", - border_style="dim", - show_header=True, - header_style=f"bold {PLANO_COLOR}", - ) - table.add_column("Model", style="cyan") - table.add_column("Default", style="green", justify="center") - - for provider in summary["model_providers"]: - default_marker = "●" if provider["default"] else "" - table.add_row(provider["model"], default_marker) - - console.print(table) - console.print() - - # Listeners table - if summary["listeners"]: - table = Table( - title=f"[bold {PLANO_COLOR}]Listeners[/bold {PLANO_COLOR}]", - border_style="dim", - show_header=True, - header_style=f"bold {PLANO_COLOR}", - ) - table.add_column("Name", style="cyan") - table.add_column("Type", style="magenta") - table.add_column("Port", style="yellow", justify="right") - - for listener in summary["listeners"]: - table.add_row(listener["name"], listener["type"], str(listener["port"])) - - console.print(table) - console.print() - - # Environment variables - if summary["env_vars_required"]: - env_status = [] - for env_var in sorted(summary["env_vars_required"]): - is_set = os.environ.get(env_var) is not None - status = f"[green]✓[/green]" if is_set else f"[yellow]○[/yellow]" - env_status.append(f" {status} [dim]${env_var}[/dim]") - - console.print( - f"[bold {PLANO_COLOR}]Environment Variables[/bold {PLANO_COLOR}]" - ) - for line in env_status: - console.print(line) - console.print() - - # Exit with appropriate code - if not result["valid"]: - sys.exit(1) - - main.add_command(up) main.add_command(down) main.add_command(build) main.add_command(logs) main.add_command(cli_agent) main.add_command(generate_prompt_targets) -main.add_command(validate) if __name__ == "__main__": main() diff --git a/cli/pyproject.toml b/cli/pyproject.toml index be5ba0ca..f9108178 100644 --- a/cli/pyproject.toml +++ b/cli/pyproject.toml @@ -11,8 +11,6 @@ dependencies = [ "jsonschema>=4.23.0,<5.0.0", "pyyaml>=6.0.2,<7.0.0", "requests>=2.31.0,<3.0.0", - "rich>=14.2.0", - "rich-click>=1.9.5", ] [project.optional-dependencies] diff --git a/cli/test/test_validate.py b/cli/test/test_validate.py deleted file mode 100644 index 9e64fcda..00000000 --- a/cli/test/test_validate.py +++ /dev/null @@ -1,218 +0,0 @@ -import pytest -import os -import tempfile -from unittest import mock -from click.testing import CliRunner -from planoai.main import validate, validate_config_file - - -class TestValidateConfigFile: - """Tests for the validate_config_file function.""" - - def test_valid_config(self, tmp_path): - """Test validation of a valid config file.""" - config_content = """ -version: v0.3.0 - -listeners: - - type: model - name: llm_gateway - port: 12000 - -model_providers: - - model: openai/gpt-4o-mini - access_key: $OPENAI_API_KEY - default: true -""" - config_file = tmp_path / "config.yaml" - config_file.write_text(config_content) - - result = validate_config_file(str(config_file)) - - assert result["valid"] is True - assert len(result["errors"]) == 0 - assert result["config"] is not None - assert len(result["summary"]["model_providers"]) == 1 - assert result["summary"]["model_providers"][0]["model"] == "openai/gpt-4o-mini" - assert result["summary"]["model_providers"][0]["default"] is True - assert "OPENAI_API_KEY" in result["summary"]["env_vars_required"] - - def test_invalid_yaml_syntax(self, tmp_path): - """Test validation fails for invalid YAML syntax.""" - config_content = """ -version: v0.3.0 -listeners: - - type: model - name: [invalid yaml -""" - config_file = tmp_path / "config.yaml" - config_file.write_text(config_content) - - result = validate_config_file(str(config_file)) - - assert result["valid"] is False - assert any("Invalid YAML" in error for error in result["errors"]) - - def test_file_not_found(self): - """Test validation fails for non-existent file.""" - result = validate_config_file("/nonexistent/path/config.yaml") - - assert result["valid"] is False - assert any("not found" in error for error in result["errors"]) - - def test_multiple_model_providers(self, tmp_path): - """Test config with multiple model providers.""" - config_content = """ -version: v0.3.0 - -listeners: - - type: model - name: llm_gateway - port: 12000 - -model_providers: - - model: openai/gpt-4o-mini - access_key: $OPENAI_API_KEY - default: true - - - model: anthropic/claude-3-5-sonnet - access_key: $ANTHROPIC_API_KEY - - - model: mistral/mistral-large - access_key: $MISTRAL_API_KEY -""" - config_file = tmp_path / "config.yaml" - config_file.write_text(config_content) - - result = validate_config_file(str(config_file)) - - assert result["valid"] is True - assert len(result["summary"]["model_providers"]) == 3 - assert set(result["summary"]["env_vars_required"]) == { - "OPENAI_API_KEY", - "ANTHROPIC_API_KEY", - "MISTRAL_API_KEY", - } - - def test_legacy_listener_format(self, tmp_path): - """Test config with legacy listener format.""" - config_content = """ -version: v0.1.0 - -listeners: - egress_traffic: - address: 0.0.0.0 - port: 12000 - ingress_traffic: - address: 0.0.0.0 - port: 10000 - -llm_providers: - - model: openai/gpt-4o - access_key: $OPENAI_API_KEY -""" - config_file = tmp_path / "config.yaml" - config_file.write_text(config_content) - - result = validate_config_file(str(config_file)) - - assert result["valid"] is True - assert len(result["summary"]["listeners"]) == 2 - - # Check listener ports are correctly extracted - ports = [l["port"] for l in result["summary"]["listeners"]] - assert 12000 in ports - assert 10000 in ports - - -class TestValidateCommand: - """Tests for the CLI validate command.""" - - def test_validate_command_with_valid_file(self, tmp_path): - """Test validate command with a valid config file.""" - config_content = """ -version: v0.3.0 - -listeners: - - type: model - name: llm_gateway - port: 12000 - -model_providers: - - model: openai/gpt-4o-mini - access_key: $OPENAI_API_KEY - default: true -""" - config_file = tmp_path / "config.yaml" - config_file.write_text(config_content) - - runner = CliRunner() - result = runner.invoke(validate, [str(config_file)]) - - assert result.exit_code == 0 - assert "valid" in result.output.lower() or "✓" in result.output - - def test_validate_command_with_invalid_file(self, tmp_path): - """Test validate command fails with invalid config.""" - config_content = """ -version: v0.3.0 -invalid_yaml: [broken -""" - config_file = tmp_path / "config.yaml" - config_file.write_text(config_content) - - runner = CliRunner() - result = runner.invoke(validate, [str(config_file)]) - - assert result.exit_code == 1 - assert "invalid" in result.output.lower() or "✗" in result.output - - def test_validate_command_auto_detect_config(self, tmp_path, monkeypatch): - """Test validate command auto-detects config.yaml in current directory.""" - config_content = """ -version: v0.3.0 - -listeners: - - type: model - name: test - port: 12000 - -model_providers: - - model: openai/gpt-4o - access_key: $OPENAI_API_KEY -""" - config_file = tmp_path / "config.yaml" - config_file.write_text(config_content) - - # Change to the temp directory - monkeypatch.chdir(tmp_path) - - runner = CliRunner() - result = runner.invoke(validate, []) - - assert result.exit_code == 0 - assert "valid" in result.output.lower() or "✓" in result.output - - def test_validate_command_quiet_mode(self, tmp_path): - """Test validate command with --quiet flag.""" - config_content = """ -version: v0.3.0 - -listeners: - - type: model - name: llm_gateway - port: 12000 - -model_providers: - - model: openai/gpt-4o-mini - access_key: $OPENAI_API_KEY -""" - config_file = tmp_path / "config.yaml" - config_file.write_text(config_content) - - runner = CliRunner() - result = runner.invoke(validate, [str(config_file), "--quiet"]) - - assert result.exit_code == 0 - # Quiet mode should have minimal output (no tables) - assert "Model Providers" not in result.output diff --git a/cli/test/test_version_check.py b/cli/test/test_version_check.py deleted file mode 100644 index c51eeae5..00000000 --- a/cli/test/test_version_check.py +++ /dev/null @@ -1,163 +0,0 @@ -import pytest -from unittest import mock -from planoai.main import ( - get_version, - get_latest_version, - parse_version, - check_version_status, - PYPI_URL, -) - - -class TestParseVersion: - """Tests for version string parsing.""" - - def test_parse_simple_version(self): - assert parse_version("1.0.0") == (1, 0, 0) - assert parse_version("0.4.1") == (0, 4, 1) - assert parse_version("10.20.30") == (10, 20, 30) - - def test_parse_two_part_version(self): - assert parse_version("1.0") == (1, 0) - assert parse_version("2.5") == (2, 5) - - def test_parse_version_with_prerelease(self): - # Pre-release suffixes should be stripped - assert parse_version("0.4.1a1") == (0, 4, 1) - assert parse_version("1.0.0beta2") == (1, 0, 0) - assert parse_version("2.0.0rc1") == (2, 0, 0) - - -class TestCheckVersionStatus: - """Tests for version comparison logic.""" - - def test_current_equals_latest(self): - status = check_version_status("0.4.1", "0.4.1") - assert status["is_outdated"] is False - assert status["current"] == "0.4.1" - assert status["latest"] == "0.4.1" - assert status["message"] is None - - def test_current_is_outdated(self): - status = check_version_status("0.4.1", "0.5.0") - assert status["is_outdated"] is True - assert status["current"] == "0.4.1" - assert status["latest"] == "0.5.0" - assert "Update available" in status["message"] - assert "0.5.0" in status["message"] - - def test_current_is_newer(self): - # Dev version might be newer than PyPI - status = check_version_status("0.5.0", "0.4.1") - assert status["is_outdated"] is False - assert status["message"] is None - - def test_major_version_outdated(self): - status = check_version_status("0.4.1", "1.0.0") - assert status["is_outdated"] is True - - def test_minor_version_outdated(self): - status = check_version_status("0.4.1", "0.5.0") - assert status["is_outdated"] is True - - def test_patch_version_outdated(self): - status = check_version_status("0.4.1", "0.4.2") - assert status["is_outdated"] is True - - def test_latest_is_none(self): - # When PyPI check fails - status = check_version_status("0.4.1", None) - assert status["is_outdated"] is False - assert status["latest"] is None - assert status["message"] is None - - -class TestGetLatestVersion: - """Tests for PyPI version fetching.""" - - def test_successful_fetch(self): - mock_response = mock.Mock() - mock_response.status_code = 200 - mock_response.json.return_value = {"info": {"version": "0.5.0"}} - - with mock.patch("requests.get", return_value=mock_response): - version = get_latest_version() - assert version == "0.5.0" - - def test_network_error(self): - import requests - - with mock.patch( - "requests.get", side_effect=requests.RequestException("Network error") - ): - version = get_latest_version() - assert version is None - - def test_timeout(self): - import requests - - with mock.patch("requests.get", side_effect=requests.Timeout("Timeout")): - version = get_latest_version() - assert version is None - - def test_invalid_json(self): - mock_response = mock.Mock() - mock_response.status_code = 200 - mock_response.json.side_effect = ValueError("Invalid JSON") - - with mock.patch("requests.get", return_value=mock_response): - version = get_latest_version() - assert version is None - - def test_404_response(self): - mock_response = mock.Mock() - mock_response.status_code = 404 - - with mock.patch("requests.get", return_value=mock_response): - version = get_latest_version() - assert version is None - - -class TestVersionCheckIntegration: - """Integration tests simulating version check scenarios.""" - - def test_outdated_version_message(self, capsys): - """Simulate an outdated version scenario.""" - from rich.console import Console - - console = Console(force_terminal=True) - current_version = "0.4.1" - - # Mock PyPI returning a newer version - mock_response = mock.Mock() - mock_response.status_code = 200 - mock_response.json.return_value = {"info": {"version": "0.5.0"}} - - with mock.patch("requests.get", return_value=mock_response): - latest = get_latest_version() - status = check_version_status(current_version, latest) - - assert status["is_outdated"] is True - assert status["latest"] == "0.5.0" - - def test_up_to_date_version(self): - """Simulate an up-to-date version scenario.""" - current_version = "0.4.1" - - mock_response = mock.Mock() - mock_response.status_code = 200 - mock_response.json.return_value = {"info": {"version": "0.4.1"}} - - with mock.patch("requests.get", return_value=mock_response): - latest = get_latest_version() - status = check_version_status(current_version, latest) - - assert status["is_outdated"] is False - - def test_skip_version_check_env_var(self, monkeypatch): - """Test that PLANO_SKIP_VERSION_CHECK skips the check.""" - monkeypatch.setenv("PLANO_SKIP_VERSION_CHECK", "1") - - import os - - assert os.environ.get("PLANO_SKIP_VERSION_CHECK") == "1" diff --git a/cli/uv.lock b/cli/uv.lock index 764badcc..fffd3eb2 100644 --- a/cli/uv.lock +++ b/cli/uv.lock @@ -174,18 +174,6 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/41/45/1a4ed80516f02155c51f51e8cedb3c1902296743db0bbc66608a0db2814f/jsonschema_specifications-2025.9.1-py3-none-any.whl", hash = "sha256:98802fee3a11ee76ecaca44429fda8a41bff98b00a0f2838151b113f210cc6fe", size = 18437, upload-time = "2025-09-08T01:34:57.871Z" }, ] -[[package]] -name = "markdown-it-py" -version = "4.0.0" -source = { registry = "https://pypi.org/simple" } -dependencies = [ - { name = "mdurl" }, -] -sdist = { url = "https://files.pythonhosted.org/packages/5b/f5/4ec618ed16cc4f8fb3b701563655a69816155e79e24a17b651541804721d/markdown_it_py-4.0.0.tar.gz", hash = "sha256:cb0a2b4aa34f932c007117b194e945bd74e0ec24133ceb5bac59009cda1cb9f3", size = 73070, upload-time = "2025-08-11T12:57:52.854Z" } -wheels = [ - { url = "https://files.pythonhosted.org/packages/94/54/e7d793b573f298e1c9013b8c4dade17d481164aa517d1d7148619c2cedbf/markdown_it_py-4.0.0-py3-none-any.whl", hash = "sha256:87327c59b172c5011896038353a81343b6754500a08cd7a4973bb48c6d578147", size = 87321, upload-time = "2025-08-11T12:57:51.923Z" }, -] - [[package]] name = "markupsafe" version = "3.0.2" @@ -244,15 +232,6 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/4f/65/6079a46068dfceaeabb5dcad6d674f5f5c61a6fa5673746f42a9f4c233b3/MarkupSafe-3.0.2-cp313-cp313t-win_amd64.whl", hash = "sha256:e444a31f8db13eb18ada366ab3cf45fd4b31e4db1236a4448f68778c1d1a5a2f", size = 15739, upload-time = "2024-10-18T15:21:42.784Z" }, ] -[[package]] -name = "mdurl" -version = "0.1.2" -source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/d6/54/cfe61301667036ec958cb99bd3efefba235e65cdeb9c84d24a8293ba1d90/mdurl-0.1.2.tar.gz", hash = "sha256:bb413d29f5eea38f31dd4754dd7377d4465116fb207585f97bf925588687c1ba", size = 8729, upload-time = "2022-08-14T12:40:10.846Z" } -wheels = [ - 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{ url = "https://files.pythonhosted.org/packages/25/0a/d865895e1e5d88a60baee0fc3703eb111c502ee10c8c107516bc7623abf8/rich_click-1.9.5-py3-none-any.whl", hash = "sha256:9b195721a773b1acf0e16ff9ec68cef1e7d237e53471e6e3f7ade462f86c403a", size = 70580, upload-time = "2025-12-21T14:49:42.905Z" }, -] - [[package]] name = "rpds-py" version = "0.27.1" From 611c082a7f558e699e725fbc0d96d83ba44d746e Mon Sep 17 00:00:00 2001 From: Musa Date: Thu, 15 Jan 2026 03:27:00 -0800 Subject: [PATCH 09/12] allow for MessageContent to track NULL in special cases --- crates/brightstaff/src/handlers/function_calling.rs | 1 + crates/hermesllm/src/apis/openai.rs | 5 +++++ crates/hermesllm/src/transforms/lib.rs | 1 + .../hermesllm/src/transforms/request/from_openai.rs | 11 +++-------- crates/hermesllm/src/transforms/response/to_openai.rs | 1 + 5 files changed, 11 insertions(+), 8 deletions(-) diff --git a/crates/brightstaff/src/handlers/function_calling.rs b/crates/brightstaff/src/handlers/function_calling.rs index 8f641df6..163ef6f0 100644 --- a/crates/brightstaff/src/handlers/function_calling.rs +++ b/crates/brightstaff/src/handlers/function_calling.rs @@ -649,6 +649,7 @@ impl ArchFunctionHandler { for (idx, message) in messages.iter().enumerate() { let mut role = message.role.clone(); let mut content = match &message.content { + MessageContent::Null => String::new(), MessageContent::Text(text) => text.clone(), MessageContent::Parts(_) => String::new(), }; diff --git a/crates/hermesllm/src/apis/openai.rs b/crates/hermesllm/src/apis/openai.rs index 834c33ec..278d2053 100644 --- a/crates/hermesllm/src/apis/openai.rs +++ b/crates/hermesllm/src/apis/openai.rs @@ -219,6 +219,7 @@ impl ResponseMessage { #[derive(Serialize, Deserialize, Debug, Clone)] #[serde(untagged)] pub enum MessageContent { + Null, Text(String), Parts(Vec), } @@ -227,6 +228,7 @@ pub enum MessageContent { impl ExtractText for MessageContent { fn extract_text(&self) -> String { match self { + MessageContent::Null => String::new(), MessageContent::Text(text) => text.clone(), MessageContent::Parts(parts) => parts.extract_text(), } @@ -248,6 +250,7 @@ impl ExtractText for Vec { impl Display for MessageContent { fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result { match self { + MessageContent::Null => write!(f, ""), MessageContent::Text(text) => write!(f, "{}", text), MessageContent::Parts(parts) => { let text_parts: Vec = parts @@ -624,6 +627,7 @@ impl ProviderRequest for ChatCompletionsRequest { self.messages.iter().fold(String::new(), |acc, m| { acc + " " + &match &m.content { + MessageContent::Null => String::new(), MessageContent::Text(text) => text.clone(), MessageContent::Parts(parts) => parts .iter() @@ -640,6 +644,7 @@ impl ProviderRequest for ChatCompletionsRequest { fn get_recent_user_message(&self) -> Option { self.messages.last().and_then(|msg| { match &msg.content { + MessageContent::Null => None, MessageContent::Text(text) => Some(text.clone()), MessageContent::Parts(_) => None, // No user message in parts } diff --git a/crates/hermesllm/src/transforms/lib.rs b/crates/hermesllm/src/transforms/lib.rs index a44f8d79..13d2dac3 100644 --- a/crates/hermesllm/src/transforms/lib.rs +++ b/crates/hermesllm/src/transforms/lib.rs @@ -188,6 +188,7 @@ pub fn convert_openai_message_to_anthropic_content( // Handle regular content match &message.content { + MessageContent::Null => {} MessageContent::Text(text) => { if !text.is_empty() { blocks.push(MessagesContentBlock::Text { diff --git a/crates/hermesllm/src/transforms/request/from_openai.rs b/crates/hermesllm/src/transforms/request/from_openai.rs index e39cfed3..0667f53a 100644 --- a/crates/hermesllm/src/transforms/request/from_openai.rs +++ b/crates/hermesllm/src/transforms/request/from_openai.rs @@ -174,10 +174,7 @@ impl TryFrom for Vec { impl From for MessagesSystemPrompt { fn from(val: Message) -> Self { - let system_text = match val.content { - MessageContent::Text(text) => text, - MessageContent::Parts(parts) => parts.extract_text(), - }; + let system_text = val.content.extract_text(); MessagesSystemPrompt::Single(system_text) } } @@ -248,6 +245,7 @@ impl TryFrom for BedrockMessage { Role::User => { // Convert user message content to content blocks match message.content { + MessageContent::Null => {} MessageContent::Text(text) => { if !text.is_empty() { content_blocks.push(ContentBlock::Text { text }); @@ -550,10 +548,7 @@ impl TryFrom for ConverseRequest { for message in req.messages { match message.role { Role::System => { - let system_text = match message.content { - MessageContent::Text(text) => text, - MessageContent::Parts(parts) => parts.extract_text(), - }; + let system_text = message.content.extract_text(); system_messages.push(SystemContentBlock::Text { text: system_text }); } _ => { diff --git a/crates/hermesllm/src/transforms/response/to_openai.rs b/crates/hermesllm/src/transforms/response/to_openai.rs index 9e3276c9..7848e6b9 100644 --- a/crates/hermesllm/src/transforms/response/to_openai.rs +++ b/crates/hermesllm/src/transforms/response/to_openai.rs @@ -209,6 +209,7 @@ impl TryFrom for ChatCompletionsResponse { // Convert MessageContent to String for response let content_string = match content { + MessageContent::Null => None, MessageContent::Text(text) => Some(text), MessageContent::Parts(parts) => { let text = parts.extract_text(); From ce2b6d9acf7e38377efc66224e583676a5bfdd6f Mon Sep 17 00:00:00 2001 From: Musa Date: Thu, 15 Jan 2026 03:29:36 -0800 Subject: [PATCH 10/12] improve SSE rendering in demos --- demos/use_cases/langchain/README.md | 372 ++++++++-------- demos/use_cases/langchain/config.yaml | 2 +- demos/use_cases/langchain/docker-compose.yaml | 2 +- demos/use_cases/langchain/gateway_test.rest | 35 ++ demos/use_cases/langchain/pyproject.toml | 19 +- .../langchain/src/travel_agents/__init__.py | 60 +++ .../src/travel_agents/flight_agent.py | 304 +++++++------- .../src/travel_agents/weather_agent.py | 396 ++++++++++-------- demos/use_cases/langchain/uv.lock | 373 ++++++----------- 9 files changed, 817 insertions(+), 746 deletions(-) create mode 100644 demos/use_cases/langchain/gateway_test.rest create mode 100644 demos/use_cases/langchain/src/travel_agents/__init__.py diff --git a/demos/use_cases/langchain/README.md b/demos/use_cases/langchain/README.md index 546fba46..91e7adea 100644 --- a/demos/use_cases/langchain/README.md +++ b/demos/use_cases/langchain/README.md @@ -1,141 +1,25 @@ # Travel Booking Agent Demo (LangChain-first) -A lightweight LangChain-powered multi-agent travel booking system that runs two small agents behind Plano’s router: a weather agent and a flight agent. Each agent is implemented with LangChain tool-calling out of the box and kept minimal so you can read, tweak, and extend quickly. +A lightweight **LangChain-powered** multi-agent travel booking system that runs two agents behind Plano's router: a weather agent and a flight agent. Each agent is implemented with LangChain's tool-calling capabilities for a clean, modular design. ## Overview -This demo consists of two LangChain agents that work together seamlessly: +This demo showcases how to integrate LangChain agents with Plano: -- **Weather Agent** - Real-time weather conditions and multi-day forecasts for any city worldwide -- **Flight Agent** - Live flight information between airports with real-time tracking +- **Weather Agent** - Uses `@tool` decorator to fetch real-time weather from Open-Meteo API +- **Flight Agent** - Uses `@tool` decorator to search flights via FlightAware API -Both agents are plain LangChain tool-callers. Plano routes traffic based on intent and forwards to the right LangChain agent. Everything runs in Docker for quick start. - -## Features - -- **Lightweight code**: Minimal prompts + tools you can read in one pass -- **Intelligent routing**: Plano auto-routes to weather vs flight -- **Real-time data**: Weather (Open-Meteo) + flights (FlightAware) -- **Multi-day forecasts**: Up to 16 days for weather - -## Prerequisites - -- Docker and Docker Compose -- [Plano CLI](https://docs.planoai.dev) installed -- OpenAI API key - -## Quick Start - -### 1. Set Environment Variables - -Create a `.env` file or export environment variables: - -```bash -export AEROAPI_KEY="your-flightaware-api-key" # Optional, demo key included -``` - -### 2. Start All Agents with Docker - -```bash -chmod +x start_agents.sh -./start_agents.sh -``` - -Or directly: - -```bash -docker compose up --build -``` - -This starts: -- Weather Agent on port 10510 -- Flight Agent on port 10520 -- Open WebUI on port 8080 - -### 3. Start Plano Orchestrator - -In a new terminal: - -```bash -cd /path/to/travel_agents -planoai up config.yaml -# Or if installed with uv: uvx planoai up config.yaml -``` - -The gateway will start on port 8001 and route requests to the appropriate agents. - -### 4. Test the System - -**Option 1**: Use Open WebUI at http://localhost:8080 - -**Option 2**: Send requests directly to Plano Orchestrator: - -```bash -curl http://localhost:8001/v1/chat/completions \ - -H "Content-Type: application/json" \ - -d '{ - "model": "gpt-4o", - "messages": [ - {"role": "user", "content": "What is the weather like in Paris?"} - ] - }' -``` - -## Example Conversations - -### Weather Query -``` -User: What's the weather in Istanbul? -Assistant: [Weather Agent provides current conditions and forecast] -``` - -### Flight Search -``` -User: What flights go from London to Seattle? -Assistant: [Flight Agent shows available flights with schedules and status] -``` - -### Multi-Agent Conversation -``` -User: What's the weather in Istanbul? -Assistant: [Weather information] - -User: Do they fly out from Seattle? -Assistant: [Flight information from Istanbul to Seattle] -``` - -The system understands context and pronouns, automatically routing to the right agent. - -### Multi-Intent Queries -``` -User: What's the weather in Seattle, and do any flights go direct to New York? -Assistant: [Both weather_agent and flight_agent respond simultaneously] - - Weather Agent: [Weather information for Seattle] - - Flight Agent: [Flight information from Seattle to New York] -``` - -The orchestrator can select multiple agents simultaneously for queries containing multiple intents. - -## Agent Details (LangChain) - -### Weather Agent -- **Port**: 10510 -- **API**: Open-Meteo (free, no API key) -- **LangChain**: Tool to fetch weather; LLM summarizes with provided data -- **Capabilities**: Current weather, multi-day forecasts, temperature, conditions, sunrise/sunset - -### Flight Agent -- **Port**: 10520 -- **API**: FlightAware AeroAPI -- **LangChain**: Tool resolves cities → IATA and fetches flights -- **Capabilities**: Real-time flight status, schedules, delays, gates, terminals, live tracking +Both agents use LangChain's `create_tool_calling_agent` and `AgentExecutor` for: +- Automatic tool selection and execution +- Streaming responses via `astream_events` +- OpenAI-compatible API endpoints ## Architecture ``` User Request ↓ - Plano (8001) + Plano Gateway (8001) [Orchestrator] | ┌────┴────┐ @@ -143,70 +27,226 @@ The orchestrator can select multiple agents simultaneously for queries containin Weather Flight Agent Agent (10510) (10520) -[Docker] [Docker] + │ │ + └──────────┴─── LangChain Tools ───→ External APIs ``` - - Each agent: -1. Extracts intent using GPT-4o-mini (with OpenTelemetry tracing) -2. Fetches real-time data from APIs -3. Generates response using GPT-4o -4. Streams response back to user +1. Receives OpenAI-compatible chat requests +2. Uses LangChain's agent executor with tools +3. Tools fetch data from external APIs (Open-Meteo, FlightAware) +4. Streams responses back in OpenAI format -Both agents run as Docker containers and communicate with Plano via `host.docker.internal`. +## LangChain Implementation Details + +### Weather Agent Tools + +```python +@tool +async def get_weather(city: str, days: int = 1) -> str: + """Get weather information for a city.""" + # Geocode city → fetch weather from Open-Meteo + ... +``` + +### Flight Agent Tools + +```python +@tool +async def resolve_airport_code(city: str) -> str: + """Convert city name to IATA airport code.""" + ... + +@tool +async def search_flights(origin_code: str, destination_code: str, travel_date: str = None) -> str: + """Search flights between two airports.""" + # Query FlightAware AeroAPI + ... +``` + +### Agent Setup + +```python +from langchain.agents import create_tool_calling_agent, AgentExecutor +from langchain_openai import ChatOpenAI + +llm = ChatOpenAI( + model="openai/gpt-4o", + base_url=LLM_GATEWAY_ENDPOINT, # Plano gateway + api_key="EMPTY", + streaming=True, +) + +agent = create_tool_calling_agent(llm, tools, prompt) +executor = AgentExecutor(agent=agent, tools=tools, verbose=True) +``` + +## Prerequisites + +- Docker and Docker Compose +- [Plano CLI](https://docs.planoai.dev) installed +- OpenAI API key +- (Optional) FlightAware AeroAPI key for live flight data + +## Quick Start + +### 1. Set Environment Variables + +```bash +export OPENAI_API_KEY="your-openai-api-key" +export AEROAPI_KEY="your-flightaware-api-key" # Optional for flight agent +``` + +### 2. Start All Services with Docker Compose + +```bash +docker compose up --build +``` + +This starts: +- Plano Gateway on port 8001 (and 12000 for LLM proxy) +- Weather Agent on port 10510 +- Flight Agent on port 10520 +- Open WebUI on port 8080 +- Jaeger tracing on port 16686 + +### 3. Test the System + +**Option 1**: Use Open WebUI at http://localhost:8080 + +**Option 2**: Send requests directly: + +```bash +# Weather query +curl http://localhost:8001/v1/chat/completions \ + -H "Content-Type: application/json" \ + -d '{ + "model": "gpt-4o", + "messages": [{"role": "user", "content": "What is the weather like in Paris?"}] + }' + +# Flight query +curl http://localhost:8001/v1/chat/completions \ + -H "Content-Type: application/json" \ + -d '{ + "model": "gpt-4o", + "messages": [{"role": "user", "content": "Find flights from Seattle to New York"}] + }' +``` + +## Example Conversations + +### Weather Query +``` +User: What's the 5-day forecast for Tokyo? +Assistant: [Weather Agent uses get_weather tool → presents forecast] +``` + +### Flight Search +``` +User: What flights go from London to Seattle tomorrow? +Assistant: [Flight Agent uses resolve_airport_code → search_flights → presents results] +``` + +### Multi-Agent (via Plano routing) +``` +User: What's the weather in Seattle, and any flights to New York? +Assistant: [Plano routes to both agents → combined response] +``` + +## Local Development + +### Run agents locally (without Docker) + +```bash +# Install dependencies +cd demos/use_cases/langchain +uv sync + +# Start weather agent +uv run python src/travel_agents/weather_agent.py + +# In another terminal, start flight agent +uv run python src/travel_agents/flight_agent.py +``` + +### Using the CLI + +```bash +# Start weather agent +uv run travel_agents weather --port 10510 + +# Start flight agent +uv run travel_agents flight --port 10520 +``` ## Project Structure ``` -travel_agents/ -├── config.yaml # Plano configuration -├── docker-compose.yaml # Docker services orchestration -├── Dockerfile # Multi-agent container image -├── start_agents.sh # Quick start script -├── pyproject.toml # Python dependencies +langchain/ +├── config.yaml # Plano gateway configuration +├── docker-compose.yaml # Docker services orchestration +├── Dockerfile # Container image +├── pyproject.toml # Python dependencies (LangChain, FastAPI, etc.) +├── README.md # This file └── src/ └── travel_agents/ - ├── __init__.py # CLI entry point - ├── weather_agent.py # Weather forecast agent (multi-day support) - └── flight_agent.py # Flight information agent + ├── __init__.py # CLI entry points + ├── weather_agent.py # Weather agent with get_weather tool + └── flight_agent.py # Flight agent with search_flights tool ``` -## Configuration Files +## Configuration ### config.yaml -Defines the two agents, their descriptions, and routing configuration. The agent router uses these descriptions to intelligently route requests. +Defines agent descriptions for Plano's intelligent routing: -### docker-compose.yaml +```yaml +agents: + - id: weather_agent + url: http://host.docker.internal:10510 + - id: flight_agent + url: http://host.docker.internal:10520 -Orchestrates the deployment of: -- Weather Agent (builds from Dockerfile) -- Flight Agent (builds from Dockerfile) -- Open WebUI (for testing) -- Jaeger (for distributed tracing) +listeners: + - type: agent + name: travel_booking_service + port: 8001 + router: plano_orchestrator_v1 + agents: + - id: weather_agent + description: | + WeatherAgent provides real-time weather and forecasts... + - id: flight_agent + description: | + FlightAgent provides live flight information... +``` ## Troubleshooting -**Docker containers won't start** -- Verify Docker and Docker Compose are installed -- Check that ports 10510, 10520, 8080 are available -- Review container logs: `docker compose logs weather-agent` or `docker compose logs flight-agent` +**Agents not responding** +- Check container logs: `docker compose logs weather-agent` +- Verify Plano is running: `curl http://localhost:8001/health` -**Plano won't start** -- Verify Plano is installed: `plano --version` -- Ensure you're in the travel_agents directory -- Check config.yaml is valid +**LangChain agent errors** +- Check that `LLM_GATEWAY_ENDPOINT` is correctly set +- Verify OpenAI API key is valid -**No response from agents** -- Verify all containers are running: `docker compose ps` -- Check that Plano is running on port 8001 -- Review agent logs: `docker compose logs -f` -- Verify `host.docker.internal` resolves correctly (should point to host machine) +**Flight API returning mock data** +- Set `AEROAPI_KEY` for live FlightAware data +- Without the key, the agent returns sample flight data ## API Endpoints -All agents expose OpenAI-compatible chat completion endpoints: +All agents expose OpenAI-compatible endpoints: -- `POST /v1/chat/completions` - Chat completion endpoint -- `GET /health` - Health check endpoint +- `POST /v1/chat/completions` - Chat completion (streaming) +- `GET /health` - Health check + +## Key Dependencies + +- `langchain>=0.3.13` - Agent framework +- `langchain-openai>=0.2.14` - OpenAI integration via Plano +- `fastapi>=0.115.0` - Web framework +- `httpx>=0.24.0` - Async HTTP client for API calls diff --git a/demos/use_cases/langchain/config.yaml b/demos/use_cases/langchain/config.yaml index 0b6aaba2..ff836a95 100644 --- a/demos/use_cases/langchain/config.yaml +++ b/demos/use_cases/langchain/config.yaml @@ -8,7 +8,7 @@ agents: model_providers: - model: openai/gpt-4o - access_key: $OPENAI_API_KEY + access_key: $OPENAI_API_KEY # smaller, faster, cheaper model for extracting entities like location default: true - model: openai/gpt-4o-mini access_key: $OPENAI_API_KEY # smaller, faster, cheaper model for extracting entities like location diff --git a/demos/use_cases/langchain/docker-compose.yaml b/demos/use_cases/langchain/docker-compose.yaml index 41fbe554..968feccd 100644 --- a/demos/use_cases/langchain/docker-compose.yaml +++ b/demos/use_cases/langchain/docker-compose.yaml @@ -36,7 +36,7 @@ services: - "10520:10520" environment: - LLM_GATEWAY_ENDPOINT=http://host.docker.internal:12000/v1 - - AEROAPI_KEY=${AEROAPI_KEY:? AEROAPI_KEY environment variable is required but not set} + - AEROAPI_KEY=${AEROAPI_KEY:-} # Optional: mock data returned if not set command: ["uv", "run", "python", "src/travel_agents/flight_agent.py"] extra_hosts: - "host.docker.internal:host-gateway" diff --git a/demos/use_cases/langchain/gateway_test.rest b/demos/use_cases/langchain/gateway_test.rest new file mode 100644 index 00000000..6d351c7c --- /dev/null +++ b/demos/use_cases/langchain/gateway_test.rest @@ -0,0 +1,35 @@ +### Weather via Plano (8001) +POST http://localhost:8001/v1/chat/completions +Content-Type: application/json + +{ + "model": "openai/gpt-4o-mini", + "stream": true, + "messages": [ + { "role": "user", "content": "What's the weather in Lahore?" } + ] +} + +### Flight via Plano (8001) +POST http://localhost:8001/v1/chat/completions +Content-Type: application/json + +{ + "model": "openai/gpt-4o-mini", + "stream": false, + "messages": [ + { "role": "user", "content": "Find flights from Seattle to Atlanta." } + ] +} + +### Multi-intent via Plano (8001) +POST http://localhost:8001/v1/chat/completions +Content-Type: application/json + +{ + "model": "openai/gpt-4o-mini", + "stream": false, + "messages": [ + { "role": "user", "content": "What's the weather in Tokyo this weekend, and any direct flights to Sydney?" } + ] +} diff --git a/demos/use_cases/langchain/pyproject.toml b/demos/use_cases/langchain/pyproject.toml index 096fb59e..26b8c459 100644 --- a/demos/use_cases/langchain/pyproject.toml +++ b/demos/use_cases/langchain/pyproject.toml @@ -1,19 +1,26 @@ [project] name = "travel-agents" version = "0.1.0" -description = "Travel Booking Agents - Weather, Flight, and Currency" +description = "Travel Booking Agents (LangChain-first) - Weather and Flight agents powered by LangChain" readme = "README.md" requires-python = ">=3.10" dependencies = [ - "click>=8.2.1", - "pydantic>=2.11.7", + # Web framework "fastapi>=0.115.0", "uvicorn>=0.30.0", - "openai>=1.0.0", + # HTTP client "httpx>=0.24.0", + # CLI + "click>=8.2.1", + "pydantic>=2.11.7", + # LangChain ecosystem (v1.0+) + "langchain>=1.0.0", + "langchain-openai>=0.3.0", + "langchain-core>=1.0.0", + # OpenAI (for direct API calls if needed) + "openai>=1.0.0", + # Telemetry "opentelemetry-api>=1.20.0", - "langchain>=0.3.13", - "langchain-openai>=0.2.14", ] [project.scripts] diff --git a/demos/use_cases/langchain/src/travel_agents/__init__.py b/demos/use_cases/langchain/src/travel_agents/__init__.py new file mode 100644 index 00000000..028712ce --- /dev/null +++ b/demos/use_cases/langchain/src/travel_agents/__init__.py @@ -0,0 +1,60 @@ +""" +Travel Agents - LangChain Demo + +LangChain-powered travel agents that integrate with Plano gateway. +Each agent uses LangChain's tool-calling capabilities for a clean, modular design. + +Agents: +- Weather Agent (port 10510): Real-time weather and forecasts +- Flight Agent (port 10520): Flight search and information + +Usage: + # Start weather agent + python -m travel_agents.weather_agent + + # Start flight agent + python -m travel_agents.flight_agent + + # Or use the CLI + travel_agents weather --port 10510 + travel_agents flight --port 10520 +""" + +import click + + +@click.group() +def cli(): + """Travel Agents - LangChain demo for Plano integration.""" + pass + + +@cli.command() +@click.option("--host", default="0.0.0.0", help="Host to bind to") +@click.option("--port", default=10510, help="Port to listen on") +def weather(host: str, port: int): + """Start the Weather Agent (LangChain).""" + from travel_agents.weather_agent import start_server + + click.echo(f"🌤️ Starting Weather Agent on {host}:{port}") + start_server(host=host, port=port) + + +@cli.command() +@click.option("--host", default="0.0.0.0", help="Host to bind to") +@click.option("--port", default=10520, help="Port to listen on") +def flight(host: str, port: int): + """Start the Flight Agent (LangChain).""" + from travel_agents.flight_agent import start_server + + click.echo(f"✈️ Starting Flight Agent on {host}:{port}") + start_server(host=host, port=port) + + +def main(): + """Entry point for the CLI.""" + cli() + + +if __name__ == "__main__": + main() diff --git a/demos/use_cases/langchain/src/travel_agents/flight_agent.py b/demos/use_cases/langchain/src/travel_agents/flight_agent.py index 3a656cf5..ddda0ae8 100644 --- a/demos/use_cases/langchain/src/travel_agents/flight_agent.py +++ b/demos/use_cases/langchain/src/travel_agents/flight_agent.py @@ -1,6 +1,7 @@ import json + from fastapi import FastAPI, Request -from fastapi.responses import JSONResponse +from fastapi.responses import JSONResponse, StreamingResponse from openai import AsyncOpenAI import os import logging @@ -14,8 +15,7 @@ from opentelemetry.propagate import extract, inject from pydantic import BaseModel, Field from langchain_openai import ChatOpenAI from langchain_core.tools import tool -from langchain.prompts import ChatPromptTemplate -from langchain.agents import create_tool_calling_agent, AgentExecutor +from langchain.agents import create_agent logging.basicConfig( level=logging.INFO, @@ -67,61 +67,61 @@ Your task: Multi-agent context: If the conversation includes information from other sources, incorporate it naturally into your response.""" -ROUTE_EXTRACTION_PROMPT = """Extract flight route and travel date. Support direct AND multi-leg flights. -Rules: -1. Patterns: "flight from X to Y", "X to Y to Z", "fly from X through Y to Z" -2. For multi-leg (e.g., "Seattle to Dubai to Lahore"), extract ALL cities in order -3. Extract dates: "tomorrow", "next week", "December 25", "12/25", "on Monday" -4. Use conversation context for missing details +def build_flight_agent( + request: Request, + request_body: dict, + streaming: bool, +): + ctx = extract(request.headers) + extra_headers = {"x-envoy-max-retries": "3"} + request_id = request.headers.get("x-request-id") + if request_id: + extra_headers["x-request-id"] = request_id + inject(extra_headers, context=ctx) -Output format: {"cities": ["City1", "City2", ...], "date": "YYYY-MM-DD" or null} + @tool("search_flights", args_schema=FlightSearchInput) + async def search_flights( + origin_city: str, destination_city: str, travel_date: Optional[str] = None + ): + """Search for flights between two cities. Supports optional travel date.""" + origin_code = await resolve_airport_code(origin_city, request) + dest_code = await resolve_airport_code(destination_city, request) -Examples: -- "Flight from Seattle to Atlanta tomorrow" → {"cities": ["Seattle", "Atlanta"], "date": "2026-01-07"} -- "Seattle to Dubai to Lahore" → {"cities": ["Seattle", "Dubai", "Lahore"], "date": null} -- "Flights from LA through Chicago to NYC" → {"cities": ["LA", "Chicago", "NYC"], "date": null} + if not origin_code or not dest_code: + return { + "error": "Could not resolve airport codes for provided cities.", + "origin_city": origin_city, + "destination_city": destination_city, + } -Today is January 6, 2026. Extract flight route:""" + flight_data = await fetch_flights(origin_code, dest_code, travel_date) + return { + "origin_city": origin_city, + "destination_city": destination_city, + "origin_code": origin_code, + "destination_code": dest_code, + "travel_date": travel_date or datetime.now().strftime("%Y-%m-%d"), + "flights": flight_data.get("flights", []), + "count": flight_data.get("count", 0), + "error": flight_data.get("error"), + } + llm = ChatOpenAI( + model=FLIGHT_MODEL, + api_key="EMPTY", + base_url=LLM_GATEWAY_ENDPOINT, + temperature=request_body.get("temperature", 0.7), + max_tokens=request_body.get("max_tokens", 1000), + streaming=streaming, + default_headers=extra_headers, + ) -async def extract_flight_route(messages: list, request: Request) -> dict: - try: - ctx = extract(request.headers) - extra_headers = {} - inject(extra_headers, context=ctx) - - response = await openai_client.chat.completions.create( - model=EXTRACTION_MODEL, - messages=[ - {"role": "system", "content": ROUTE_EXTRACTION_PROMPT}, - *[ - {"role": m.get("role"), "content": m.get("content")} - for m in messages[-5:] - ], - ], - temperature=0.1, - max_tokens=100, - extra_headers=extra_headers or None, - ) - - result = response.choices[0].message.content.strip() - if "```json" in result: - result = result.split("```json")[1].split("```")[0].strip() - elif "```" in result: - result = result.split("```")[1].split("```")[0].strip() - - route = json.loads(result) - cities = route.get("cities", []) - - if not cities and (route.get("origin") or route.get("destination")): - cities = [c for c in [route.get("origin"), route.get("destination")] if c] - - return {"cities": cities, "date": route.get("date")} - - except Exception as e: - logger.error(f"Error extracting flight route: {e}") - return {"cities": [], "date": None} + return create_agent( + model=llm, + tools=[search_flights], + system_prompt=SYSTEM_PROMPT, + ) async def resolve_airport_code(city_name: str, request: Request) -> Optional[str]: @@ -247,130 +247,112 @@ async def fetch_flights( } -def build_flight_context(cities: list, airport_codes: list, legs_data: list) -> str: - if len(cities) == 2: - leg = legs_data[0] - flight_data = { - "flights": leg["flights"], - "count": len(leg["flights"]), - "origin_code": leg["origin_code"], - "destination_code": leg["dest_code"], - } - if leg["flights"]: - return f""" -Flight search results from {leg['origin']} ({leg['origin_code']}) to {leg['destination']} ({leg['dest_code']}): - -Flight data in JSON format: -{json.dumps(flight_data, indent=2)} - -Present these {len(leg['flights'])} flight(s) to the user clearly.""" - else: - error = leg.get("error") or "No direct flights found" - return f""" -Flight search from {leg['origin']} ({leg['origin_code']}) to {leg['destination']} ({leg['dest_code']}): - -Result: {error} - -Let the user know and suggest alternatives if appropriate.""" - - route_str = " → ".join( - [f"{city} ({code})" for city, code in zip(cities, airport_codes)] - ) - context = f"\nMulti-leg flight search: {route_str}\n\n" - - for leg in legs_data: - context += f"**Leg {leg['leg']}: {leg['origin']} ({leg['origin_code']}) → {leg['destination']} ({leg['dest_code']})**\n" - if leg["flights"]: - leg_data = {"flights": leg["flights"], "count": len(leg["flights"])} - context += f"Flight data:\n{json.dumps(leg_data, indent=2)}\n\n" - elif leg.get("error"): - context += f"Error: {leg['error']}\n\n" - else: - context += "No direct flights found for this leg.\n\n" - - context += "Present this itinerary clearly. For each leg, show available flights by departure time. Note connection timing between legs." - return context - - app = FastAPI(title="Flight Information Agent", version="1.0.0") @app.post("/v1/chat/completions") async def handle_request(request: Request): request_body = await request.json() + is_streaming = request_body.get("stream", True) + model = request_body.get("model", FLIGHT_MODEL) + + if is_streaming: + return StreamingResponse( + invoke_flight_agent_stream(request, request_body, model), + media_type="text/event-stream", + headers={"content-type": "text/event-stream"}, + ) + content = await invoke_flight_agent(request, request_body) - return JSONResponse({"content": content}) + return JSONResponse( + { + "id": f"chatcmpl-{uuid.uuid4().hex[:8]}", + "object": "chat.completion", + "created": int(time.time()), + "model": model, + "choices": [ + { + "index": 0, + "message": {"role": "assistant", "content": content}, + "finish_reason": "stop", + } + ], + } + ) async def invoke_flight_agent(request: Request, request_body: dict): + """Generate flight information using a LangChain agent with the modern create_agent API.""" messages = request_body.get("messages", []) - - conversation = "\n".join( - [f"{m.get('role')}: {m.get('content')}" for m in messages if m.get("content")] - ) - - ctx = extract(request.headers) - extra_headers = {"x-envoy-max-retries": "3"} - inject(extra_headers, context=ctx) - - @tool("search_flights", args_schema=FlightSearchInput) - async def search_flights( - origin_city: str, destination_city: str, travel_date: Optional[str] = None - ): - """Search for flights between two cities. Supports optional travel date.""" - origin_code = await resolve_airport_code(origin_city, request) - dest_code = await resolve_airport_code(destination_city, request) - - if not origin_code or not dest_code: - return { - "error": "Could not resolve airport codes for provided cities.", - "origin_city": origin_city, - "destination_city": destination_city, - } - - flight_data = await fetch_flights(origin_code, dest_code, travel_date) - return { - "origin_city": origin_city, - "destination_city": destination_city, - "origin_code": origin_code, - "destination_code": dest_code, - "travel_date": travel_date or datetime.now().strftime("%Y-%m-%d"), - "flights": flight_data.get("flights", []), - "count": flight_data.get("count", 0), - "error": flight_data.get("error"), - } - - tools = [search_flights] - - prompt = ChatPromptTemplate.from_messages( - [ - ("system", SYSTEM_PROMPT), - ( - "user", - "Conversation:\n{conversation}\n\nUse tools to fetch real flight options. Be concise and clear.", - ), - ] - ) - - llm = ChatOpenAI( - model=FLIGHT_MODEL, - api_key="EMPTY", - base_url=LLM_GATEWAY_ENDPOINT, - temperature=request_body.get("temperature", 0.7), - max_tokens=request_body.get("max_tokens", 1000), - streaming=False, - default_headers=extra_headers, - ) - - agent = create_tool_calling_agent(llm, tools, prompt) - executor = AgentExecutor(agent=agent, tools=tools, verbose=False) + agent = build_flight_agent(request, request_body, streaming=False) try: - result = await executor.ainvoke({"conversation": conversation}) - return result.get("output", "") + # Invoke agent with messages + result = await agent.ainvoke({"messages": messages}) + + # Extract final response from messages + final_message = result["messages"][-1] + content = ( + final_message.content + if hasattr(final_message, "content") + else str(final_message) + ) + return content except Exception as e: logger.error(f"Error generating response: {e}") - return "I’m having trouble retrieving flight information right now. Please try again." + return "I'm having trouble retrieving flight information right now. Please try again." + + +def build_openai_chunk(model: str, content: str, finish_reason: Optional[str] = None): + return { + "id": f"chatcmpl-{uuid.uuid4().hex[:8]}", + "object": "chat.completion.chunk", + "created": int(time.time()), + "model": model, + "choices": [ + { + "index": 0, + "delta": {"content": content} if content else {}, + "finish_reason": finish_reason, + } + ], + } + + +async def invoke_flight_agent_stream( + request: Request, + request_body: dict, + model: str, +): + messages = request_body.get("messages", []) + agent = build_flight_agent(request, request_body, streaming=True) + + try: + async for event in agent.astream_events( + {"messages": messages}, + version="v2", + ): + if event.get("event") != "on_chat_model_stream": + continue + chunk = event.get("data", {}).get("chunk") + content = getattr(chunk, "content", None) + if not content: + continue + if isinstance(content, list): + content = "".join( + piece for piece in content if isinstance(piece, str) + ).strip() + if not content: + continue + yield f"data: {json.dumps(build_openai_chunk(model, content))}\n\n" + + yield f"data: {json.dumps(build_openai_chunk(model, '', 'stop'))}\n\n" + yield "data: [DONE]\n\n" + except Exception as e: + logger.error(f"Error streaming response: {e}") + error_message = "I'm having trouble retrieving flight information right now. Please try again." + yield f"data: {json.dumps(build_openai_chunk(model, error_message, 'stop'))}\n\n" + yield "data: [DONE]\n\n" @app.get("/health") diff --git a/demos/use_cases/langchain/src/travel_agents/weather_agent.py b/demos/use_cases/langchain/src/travel_agents/weather_agent.py index cdcbe75f..023d7323 100644 --- a/demos/use_cases/langchain/src/travel_agents/weather_agent.py +++ b/demos/use_cases/langchain/src/travel_agents/weather_agent.py @@ -1,86 +1,56 @@ import json -import re -from fastapi import FastAPI, Request -from fastapi.responses import StreamingResponse -from openai import AsyncOpenAI -import os import logging +import os import time import uuid -import uvicorn -from datetime import datetime, timedelta -import httpx +from datetime import datetime from typing import Optional from urllib.parse import quote + +import httpx +import uvicorn +from fastapi import FastAPI, Request +from fastapi.responses import JSONResponse, StreamingResponse +from langchain.agents import create_agent +from langchain_core.tools import tool +from langchain_openai import ChatOpenAI +from openai import AsyncOpenAI from opentelemetry.propagate import extract, inject from pydantic import BaseModel, Field -from langchain_openai import ChatOpenAI -from langchain_core.tools import tool -from langchain.prompts import ChatPromptTemplate -from langchain.agents import create_tool_calling_agent, AgentExecutor -# Set up logging logging.basicConfig( level=logging.INFO, format="%(asctime)s - [WEATHER_AGENT] - %(levelname)s - %(message)s", ) logger = logging.getLogger(__name__) - -# Configuration for plano LLM gateway LLM_GATEWAY_ENDPOINT = os.getenv( "LLM_GATEWAY_ENDPOINT", "http://host.docker.internal:12001/v1" ) WEATHER_MODEL = "openai/gpt-4o" LOCATION_MODEL = "openai/gpt-4o-mini" -# Initialize OpenAI client for plano openai_client_via_plano = AsyncOpenAI( base_url=LLM_GATEWAY_ENDPOINT, api_key="EMPTY", ) -# FastAPI app for REST server app = FastAPI(title="Weather Forecast Agent", version="1.0.0") -# HTTP client for API calls http_client = httpx.AsyncClient(timeout=10.0) -# Utility functions def celsius_to_fahrenheit(temp_c: Optional[float]) -> Optional[float]: - """Convert Celsius to Fahrenheit.""" return round(temp_c * 9 / 5 + 32, 1) if temp_c is not None else None -def get_user_messages(messages: list) -> list: - """Extract user messages from message list.""" - return [msg for msg in messages if msg.get("role") == "user"] - - -def get_last_user_content(messages: list) -> str: - """Get the content of the most recent user message.""" - for msg in reversed(messages): - if msg.get("role") == "user": - return msg.get("content", "").lower() - return "" - - async def get_weather_data( request: Request, messages: list, days: int = 1, - traceparent_header: str = None, request_id: str = None, + city_override: Optional[str] = None, ): - """Extract location from user's conversation and fetch weather data from Open-Meteo API. - - This function does two things: - 1. Uses an LLM to extract the location from the user's message - 2. Fetches weather data for that location from Open-Meteo - - Currently returns only current day weather. Want to add multi-day forecasts? - """ instructions = """You are a city name extractor. Look at the FINAL user message ONLY and extract the city name. The FINAL user message will be the LAST message with role "user" in the conversation. @@ -88,69 +58,74 @@ The FINAL user message will be the LAST message with role "user" in the conversa IMPORTANT: Ignore all previous messages. Focus ONLY on the FINAL user message. Examples of what to extract from the FINAL user message: -- "What's the weather in Seattle?" → Seattle -- "What's the weather in San Francisco?" → San Francisco -- "What about Dubai?" → Dubai -- "How's the weather in Tokyo today?" → Tokyo -- "Tell me about Lahore" → Lahore -- "What about there?" → Look at conversation for the last mentioned city +- "What's the weather in Seattle?" -> Seattle +- "What's the weather in San Francisco?" -> San Francisco +- "What about Dubai?" -> Dubai +- "How's the weather in Tokyo today?" -> Tokyo +- "Tell me about Lahore" -> Lahore +- "What about there?" -> Look at conversation for the last mentioned city Output ONLY the city name. Nothing else. One word or city name only. If no city can be found, output: NOT_FOUND""" - try: - user_messages = [ - msg.get("content") for msg in messages if msg.get("role") == "user" - ] + location = city_override + if not location: + try: + user_messages = [ + msg.get("content") for msg in messages if msg.get("role") == "user" + ] - if not user_messages: - location = "New York" - else: - ctx = extract(request.headers) - extra_headers = {} - if request_id: - extra_headers["x-request-id"] = request_id - inject(extra_headers, context=ctx) - # For location extraction, pass full conversation for context (e.g., "there" = previous destination) - response = await openai_client_via_plano.chat.completions.create( - model=LOCATION_MODEL, - messages=[ - {"role": "system", "content": instructions}, - *[ - {"role": msg.get("role"), "content": msg.get("content")} - for msg in messages - ], - ], - temperature=0.1, - max_tokens=10, - extra_headers=extra_headers if extra_headers else None, - ) - - location = response.choices[0].message.content.strip().strip("\"'`.,!?") - logger.info(f"Location extraction result: '{location}'") - - if not location or location.upper() == "NOT_FOUND": + if not user_messages: location = "New York" - logger.info(f"Location not found, defaulting to: {location}") + else: + ctx = extract(request.headers) + extra_headers = {} + if request_id: + extra_headers["x-request-id"] = request_id + inject(extra_headers, context=ctx) + response = await openai_client_via_plano.chat.completions.create( + model=LOCATION_MODEL, + messages=[ + {"role": "system", "content": instructions}, + *[ + {"role": msg.get("role"), "content": msg.get("content")} + for msg in messages + ], + ], + temperature=0.1, + max_tokens=10, + extra_headers=extra_headers if extra_headers else None, + ) - except Exception as e: - logger.error(f"Error extracting location: {e}") - location = "New York" + location = response.choices[0].message.content.strip().strip("\"'`.,!?") + logger.info("Location extraction result: '%s'", location) - logger.info(f"Fetching weather for location: '{location}' (days: {days})") + if not location or location.upper() == "NOT_FOUND": + location = "New York" + logger.info("Location not found, defaulting to: %s", location) + + except Exception as e: + logger.error("Error extracting location: %s", e) + location = "New York" + + logger.info("Fetching weather for location: '%s' (days: %s)", location, days) - # Step 2: Fetch weather data for the extracted location try: - # Geocode city to get coordinates - geocode_url = f"https://geocoding-api.open-meteo.com/v1/search?name={quote(location)}&count=1&language=en&format=json" + geocode_url = ( + "https://geocoding-api.open-meteo.com/v1/search?" + f"name={quote(location)}&count=1&language=en&format=json" + ) geocode_response = await http_client.get(geocode_url) if geocode_response.status_code != 200 or not geocode_response.json().get( "results" ): - logger.warning(f"Could not geocode {location}, using New York") + logger.warning("Could not geocode %s, using New York", location) location = "New York" - geocode_url = f"https://geocoding-api.open-meteo.com/v1/search?name={quote(location)}&count=1&language=en&format=json" + geocode_url = ( + "https://geocoding-api.open-meteo.com/v1/search?" + f"name={quote(location)}&count=1&language=en&format=json" + ) geocode_response = await http_client.get(geocode_url) geocode_data = geocode_response.json() @@ -173,15 +148,14 @@ If no city can be found, output: NOT_FOUND""" longitude = result["longitude"] logger.info( - f"Geocoded '{location}' to {location_name} ({latitude}, {longitude})" + "Geocoded '%s' to %s (%s, %s)", location, location_name, latitude, longitude ) - # Get weather forecast weather_url = ( - f"https://api.open-meteo.com/v1/forecast?" + "https://api.open-meteo.com/v1/forecast?" f"latitude={latitude}&longitude={longitude}&" - f"current=temperature_2m&" - f"daily=sunrise,sunset,temperature_2m_max,temperature_2m_min,weather_code&" + "current=temperature_2m&" + "daily=sunrise,sunset,temperature_2m_max,temperature_2m_min,weather_code&" f"forecast_days={days}&timezone=auto" ) @@ -203,7 +177,6 @@ If no city can be found, output: NOT_FOUND""" current_temp = weather_data.get("current", {}).get("temperature_2m") daily = weather_data.get("daily", {}) - # Build forecast for requested number of days forecast = [] for i in range(days): date_str = daily["time"][i] @@ -225,7 +198,6 @@ If no city can be found, output: NOT_FOUND""" sunrise = daily.get("sunrise", [])[i] if daily.get("sunrise") else None sunset = daily.get("sunset", [])[i] if daily.get("sunset") else None - # Use current temp for today, otherwise use max temp temp_c = ( temp_max if temp_max is not None @@ -253,7 +225,7 @@ If no city can be found, output: NOT_FOUND""" return {"location": location_name, "forecast": forecast} except Exception as e: - logger.error(f"Error getting weather data: {e}") + logger.error("Error getting weather data: %s", e) return { "location": location, "weather": { @@ -277,122 +249,199 @@ class WeatherToolInput(BaseModel): ) -@app.post("/v1/chat/completions") -async def handle_request(request: Request): - """HTTP endpoint for chat completions with LangChain agent execution.""" +WEATHER_SYSTEM_PROMPT = """You are a weather assistant in a multi-agent system. You will receive weather data in JSON format with these fields: - request_body = await request.json() - messages = request_body.get("messages", []) - is_streaming = request_body.get("stream", True) +- "location": City name +- "forecast": Array of weather objects, each with date, day_name, temperature_c, temperature_f, temperature_max_c, temperature_min_c, weather_code, sunrise, sunset +- weather_code: WMO code (0=clear, 1-3=partly cloudy, 45-48=fog, 51-67=rain, 71-86=snow, 95-99=thunderstorm) - logger.info("messages detail json dumps: %s", json.dumps(messages, indent=2)) +Your task: +1. Present the weather/forecast clearly for the location +2. For single day: show current conditions +3. For multi-day: show each day with date and conditions +4. Include temperature in both Celsius and Fahrenheit +5. Describe conditions naturally based on weather_code +6. Use conversational language - traceparent_header = request.headers.get("traceparent") - request_id = request.headers.get("x-request-id") +Multi-agent context: You are part of a larger system. If the conversation includes additional context or information from other sources, acknowledge and incorporate it naturally into your response. Your primary focus is weather, but be aware of the full conversation context. - return StreamingResponse( - invoke_weather_agent(request, request_body, traceparent_header, request_id), - media_type="text/plain", - headers={ - "content-type": "text/event-stream", - }, - ) +Remember: Only use the provided data. If fields are null, mention data is unavailable.""" -async def invoke_weather_agent( +def build_openai_chunk(model: str, content: str, finish_reason: Optional[str] = None): + return { + "id": f"chatcmpl-{uuid.uuid4().hex[:8]}", + "object": "chat.completion.chunk", + "created": int(time.time()), + "model": model, + "choices": [ + { + "index": 0, + "delta": {"content": content} if content else {}, + "finish_reason": finish_reason, + } + ], + } + + +def build_weather_agent( request: Request, request_body: dict, - traceparent_header: str = None, - request_id: str = None, + streaming: bool, ): - """Generate chat completions using a LangChain tool-calling agent.""" messages = request_body.get("messages", []) - - # Build conversation string for agent context - conversation = "\n".join( - [f"{m.get('role')}: {m.get('content')}" for m in messages if m.get("content")] - ) - - # Trace propagation for downstream requests ctx = extract(request.headers) extra_headers = {"x-envoy-max-retries": "3"} + request_id = request.headers.get("x-request-id") if request_id: extra_headers["x-request-id"] = request_id inject(extra_headers, context=ctx) - # Detect if user wants multi-day forecast from the last user message - last_user_msg = get_last_user_content(messages) - days = 1 - if "forecast" in last_user_msg or "week" in last_user_msg: - days = 7 - elif "tomorrow" in last_user_msg: - days = 2 - day_match = re.search(r"(\d{1,2})\s+day", last_user_msg) - if day_match: - requested_days = int(day_match.group(1)) - days = min(requested_days, 16) - @tool("get_weather_forecast", args_schema=WeatherToolInput) async def get_weather_forecast(city: str, days: int = 1): - """Lookup weather for a city and return structured forecast.""" + """Fetch a structured weather forecast for a city.""" return await get_weather_data( request, - messages + [{"role": "user", "content": city}], + messages, days, - traceparent_header, - request_id, + request_id=request_id, + city_override=city, ) - tools = [get_weather_forecast] - - system_prompt = """You are a weather assistant in a multi-agent system. -Use tools to fetch live weather and provide concise, friendly answers. -If no city is provided, pick a sensible default (e.g., New York) and say you defaulted.""" - - prompt = ChatPromptTemplate.from_messages( - [ - ("system", system_prompt), - ( - "user", - "Conversation:\n{conversation}\n\nIf needed, call tools to get the latest weather.", - ), - ] - ) - llm = ChatOpenAI( model=WEATHER_MODEL, api_key="EMPTY", base_url=LLM_GATEWAY_ENDPOINT, temperature=request_body.get("temperature", 0.7), max_tokens=request_body.get("max_tokens", 1000), - streaming=False, + streaming=streaming, default_headers=extra_headers, ) - agent = create_tool_calling_agent(llm, tools, prompt) - executor = AgentExecutor(agent=agent, tools=tools, verbose=False) + return create_agent( + model=llm, + tools=[get_weather_forecast], + system_prompt=WEATHER_SYSTEM_PROMPT, + ) + + +@app.post("/v1/chat/completions") +async def handle_request(request: Request): + request_body = await request.json() + is_streaming = request_body.get("stream", True) try: - result = await executor.ainvoke({"conversation": conversation, "days": days}) - content = result.get("output", "") - # Stream back plain SSE data like a LangChain agent out-of-the-box - yield f"data: {content}\n\n" + model = request_body.get("model", WEATHER_MODEL) + + if is_streaming: + return StreamingResponse( + invoke_weather_agent_stream(request, request_body, model), + media_type="text/event-stream", + headers={"content-type": "text/event-stream"}, + ) + + content = await invoke_weather_agent(request, request_body) + return JSONResponse( + { + "id": f"chatcmpl-{uuid.uuid4().hex[:8]}", + "object": "chat.completion", + "created": int(time.time()), + "model": model, + "choices": [ + { + "index": 0, + "message": {"role": "assistant", "content": content}, + "finish_reason": "stop", + } + ], + } + ) + except Exception as e: + logger.error("Error generating weather response: %s", e) + if is_streaming: + return StreamingResponse( + invoke_weather_agent_error_stream( + request_body, + "I'm having trouble retrieving weather information right now. Please try again.", + ), + media_type="text/event-stream", + headers={"content-type": "text/event-stream"}, + ) + return JSONResponse( + { + "error": { + "message": "I'm having trouble retrieving weather information right now. Please try again.", + "type": "server_error", + } + }, + status_code=500, + ) + + +async def invoke_weather_agent( + request: Request, + request_body: dict, +): + messages = request_body.get("messages", []) + agent = build_weather_agent(request, request_body, streaming=False) + + result = await agent.ainvoke({"messages": messages}) + final_message = result["messages"][-1] + return ( + final_message.content + if hasattr(final_message, "content") + else str(final_message) + ) + + +async def invoke_weather_agent_stream( + request: Request, + request_body: dict, + model: str, +): + messages = request_body.get("messages", []) + agent = build_weather_agent(request, request_body, streaming=True) + + try: + async for event in agent.astream_events( + {"messages": messages}, + version="v2", + ): + if event.get("event") != "on_chat_model_stream": + continue + chunk = event.get("data", {}).get("chunk") + content = getattr(chunk, "content", None) + if not content: + continue + if isinstance(content, list): + content = "".join( + piece for piece in content if isinstance(piece, str) + ).strip() + if not content: + continue + yield f"data: {json.dumps(build_openai_chunk(model, content))}\n\n" + + yield f"data: {json.dumps(build_openai_chunk(model, '', 'stop'))}\n\n" + yield "data: [DONE]\n\n" + except Exception as e: + logger.error("Error streaming weather response: %s", e) + error_message = "I'm having trouble retrieving weather information right now. Please try again." + yield f"data: {json.dumps(build_openai_chunk(model, error_message, 'stop'))}\n\n" yield "data: [DONE]\n\n" - except Exception as e: - logger.error(f"Error generating weather response: {e}") - yield "data: I’m having trouble retrieving weather information right now. Please try again.\n\n" - yield "data: [DONE]\n\n" + +async def invoke_weather_agent_error_stream(request_body: dict, error_message: str): + model = request_body.get("model", WEATHER_MODEL) + yield f"data: {json.dumps(build_openai_chunk(model, error_message, 'stop'))}\n\n" + yield "data: [DONE]\n\n" @app.get("/health") async def health_check(): - """Health check endpoint.""" return {"status": "healthy", "agent": "weather_forecast"} def start_server(host: str = "localhost", port: int = 10510): - """Start the REST server.""" uvicorn.run( app, host=host, @@ -403,19 +452,16 @@ def start_server(host: str = "localhost", port: int = 10510): "formatters": { "default": { "format": "%(asctime)s - [WEATHER_AGENT] - %(levelname)s - %(message)s", - }, + } }, "handlers": { "default": { "formatter": "default", "class": "logging.StreamHandler", "stream": "ext://sys.stdout", - }, - }, - "root": { - "level": "INFO", - "handlers": ["default"], + } }, + "root": {"level": "INFO", "handlers": ["default"]}, 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langchain improved --- demos/use_cases/multi_frameworks/Dockerfile | 28 + demos/use_cases/multi_frameworks/README.md | 21 + demos/use_cases/multi_frameworks/config.yaml | 57 ++ .../multi_frameworks/crewai/flight_agent.py | 423 ++++++++++++++ .../multi_frameworks/docker-compose.yaml | 68 +++ .../multi_frameworks/gateway_test.rest | 21 + .../langchain/weather_agent.py | 456 +++++++++++++++ .../multi_frameworks/openai_protocol.py | 35 ++ .../use_cases/multi_frameworks/pyproject.toml | 26 + demos/use_cases/multi_frameworks/test.rest | 43 ++ demos/use_cases/multi_frameworks/uv.lock | 524 ++++++++++++++++++ 11 files changed, 1702 insertions(+) create mode 100644 demos/use_cases/multi_frameworks/Dockerfile create mode 100644 demos/use_cases/multi_frameworks/README.md create mode 100644 demos/use_cases/multi_frameworks/config.yaml create mode 100644 demos/use_cases/multi_frameworks/crewai/flight_agent.py create mode 100644 demos/use_cases/multi_frameworks/docker-compose.yaml create mode 100644 demos/use_cases/multi_frameworks/gateway_test.rest create mode 100644 demos/use_cases/multi_frameworks/langchain/weather_agent.py create mode 100644 demos/use_cases/multi_frameworks/openai_protocol.py create mode 100644 demos/use_cases/multi_frameworks/pyproject.toml create mode 100644 demos/use_cases/multi_frameworks/test.rest create mode 100644 demos/use_cases/multi_frameworks/uv.lock diff --git a/demos/use_cases/multi_frameworks/Dockerfile b/demos/use_cases/multi_frameworks/Dockerfile new file mode 100644 index 00000000..f8f6b3d8 --- /dev/null +++ b/demos/use_cases/multi_frameworks/Dockerfile @@ -0,0 +1,28 @@ +FROM python:3.11-slim + +WORKDIR /app + +# Install bash and uv +RUN apt-get update && apt-get install -y bash && rm -rf /var/lib/apt/lists/* +RUN pip install --no-cache-dir uv + +# Copy dependency files +COPY pyproject.toml ./ +COPY README.md ./ + +# Install dependencies to system Python +RUN uv pip install --system . + +# Copy shared utilities +COPY openai_protocol.py ./ + +# Copy application code +COPY crewai/ ./crewai/ +COPY langchain/ ./langchain/ + +# Set environment variables +ENV PYTHONUNBUFFERED=1 +ENV PYTHONPATH=/app:$PYTHONPATH + +# Default command (will be overridden in docker-compose) +CMD ["uv", "run", "python", "crewai/flight_agent.py"] diff --git a/demos/use_cases/multi_frameworks/README.md b/demos/use_cases/multi_frameworks/README.md new file mode 100644 index 00000000..a3487a4d --- /dev/null +++ b/demos/use_cases/multi_frameworks/README.md @@ -0,0 +1,21 @@ +# Multi-Framework Travel Agents + +This project demonstrates multi-framework integration with both CrewAI and LangChain agents working together. + +## Agents + +- **CrewAI Flight Agent** (Port 10520): Handles flight-related queries +- **LangChain Weather Agent** (Port 10510): Handles weather-related queries + +## Setup + +```bash +docker compose build +docker compose up -d +``` + +## Environment Variables + +- `OPENAI_API_KEY`: Required for LLM access +- `AEROAPI_KEY`: Optional for flight data +- `LLM_GATEWAY_ENDPOINT`: Plano gateway endpoint (default: http://host.docker.internal:12000/v1) diff --git a/demos/use_cases/multi_frameworks/config.yaml b/demos/use_cases/multi_frameworks/config.yaml new file mode 100644 index 00000000..0b6aaba2 --- /dev/null +++ b/demos/use_cases/multi_frameworks/config.yaml @@ -0,0 +1,57 @@ +version: v0.3.0 + +agents: + - id: weather_agent + url: http://host.docker.internal:10510 + - id: flight_agent + url: http://host.docker.internal:10520 + +model_providers: + - model: openai/gpt-4o + access_key: $OPENAI_API_KEY + default: true + - model: openai/gpt-4o-mini + access_key: $OPENAI_API_KEY # smaller, faster, cheaper model for extracting entities like location + +listeners: + - type: agent + name: travel_booking_service + port: 8001 + router: plano_orchestrator_v1 + agents: + - id: weather_agent + description: | + + WeatherAgent is a specialized AI assistant for real-time weather information and forecasts. It provides accurate weather data for any city worldwide using the Open-Meteo API, helping travelers plan their trips with up-to-date weather conditions. + + Capabilities: + * Get real-time weather conditions and multi-day forecasts for any city worldwide using Open-Meteo API (free, no API key needed) + * Provides current temperature + * Provides multi-day forecasts + * Provides weather conditions + * Provides sunrise/sunset times + * Provides detailed weather information + * Understands conversation context to resolve location references from previous messages + * Handles weather-related questions including "What's the weather in [city]?", "What's the forecast for [city]?", "How's the weather in [city]?" + * When queries include both weather and other travel questions (e.g., flights, currency), this agent answers ONLY the weather part + + - id: flight_agent + description: | + + FlightAgent is an AI-powered tool specialized in providing live flight information between airports. It leverages the FlightAware AeroAPI to deliver real-time flight status, gate information, and delay updates. + + Capabilities: + * Get live flight information between airports using FlightAware AeroAPI + * Shows real-time flight status + * Shows scheduled/estimated/actual departure and arrival times + * Shows gate and terminal information + * Shows delays + * Shows aircraft type + * Shows flight status + * Automatically resolves city names to airport codes (IATA/ICAO) + * Understands conversation context to infer origin/destination from follow-up questions + * Handles flight-related questions including "What flights go from [city] to [city]?", "Do flights go to [city]?", "Are there direct flights from [city]?" + * When queries include both flight and other travel questions (e.g., weather, currency), this agent answers ONLY the flight part + +tracing: + random_sampling: 100 diff --git a/demos/use_cases/multi_frameworks/crewai/flight_agent.py b/demos/use_cases/multi_frameworks/crewai/flight_agent.py new file mode 100644 index 00000000..d0e8f57c --- /dev/null +++ b/demos/use_cases/multi_frameworks/crewai/flight_agent.py @@ -0,0 +1,423 @@ +import json +import os +import logging +import time +import uuid +import httpx +import uvicorn +from datetime import datetime +from typing import Optional + +from fastapi import FastAPI, Request +from fastapi.responses import JSONResponse, StreamingResponse +from openai import AsyncOpenAI +from opentelemetry.propagate import extract, inject +from crewai import Agent, Task, Crew, LLM +from crewai.tools import tool + +from openai_protocol import create_chat_completion_chunk + +logging.basicConfig( + level=logging.INFO, + format="%(asctime)s - [FLIGHT_AGENT] - %(levelname)s - %(message)s", +) +logger = logging.getLogger(__name__) + +LLM_GATEWAY_ENDPOINT = os.getenv( + "LLM_GATEWAY_ENDPOINT", "http://host.docker.internal:12000/v1" +) +FLIGHT_MODEL = "openai/gpt-4o" +EXTRACTION_MODEL = "openai/gpt-4o-mini" + +AEROAPI_BASE_URL = "https://aeroapi.flightaware.com/aeroapi" +AEROAPI_KEY = os.getenv("AEROAPI_KEY") + +http_client = httpx.AsyncClient(timeout=30.0) +openai_client = AsyncOpenAI(base_url=LLM_GATEWAY_ENDPOINT, api_key="EMPTY") + + +SYSTEM_PROMPT = """You are a travel planning assistant specializing in flight information. + +CRITICAL: You MUST respond with ONLY the final answer to the user. + +DO NOT OUTPUT: +- "Thought:" or any internal thinking +- "Action:" or tool names +- "Action Input:" or parameters +- "Observation:" or tool results +- Any reasoning steps, planning, or internal deliberation + +FORMATTING RULES: +- Respond in natural, conversational text ONLY +- NEVER use JSON, code blocks, or technical formats +- Present flight information in a clean, bullet-point list +- Use plain text with proper spacing and line breaks + +Flight Information Format: +- Airline Name (Flight Number) +- Departure: Time from Airport Code, Gate info +- Arrival: Time at Airport Code +- Aircraft: Model name +- Status: Current status + +Your task: +1. Use tools silently (don't mention them to the user) +2. Convert technical data into friendly, readable text +3. Use 12-hour time format (e.g., "9:00 AM") +4. Organize flights chronologically by departure time +5. Include terminal/gate info when available + +Multi-agent context: If the conversation includes information from other sources, incorporate it naturally.""" + + +def build_flight_crew( + request: Request, + request_body: dict, + streaming: bool, +): + ctx = extract(request.headers) + extra_headers = {"x-envoy-max-retries": "3"} + request_id = request.headers.get("x-request-id") + if request_id: + extra_headers["x-request-id"] = request_id + inject(extra_headers, context=ctx) + + @tool("resolve_airport_code") + async def resolve_airport_code_tool(city_name: str) -> str: + """Convert a city name to its primary airport IATA code. + + Args: + city_name: Name of the city (e.g., 'Seattle', 'Atlanta', 'Karachi', 'Dubai') + + Returns: + 3-letter IATA airport code (e.g., 'SEA', 'ATL', 'KHI', 'DXB') + + Examples: + Seattle → SEA + Atlanta → ATL + New York → JFK + Dubai → DXB + Karachi → KHI + Lahore → LHE + """ + code = await resolve_airport_code(city_name, request) + if not code: + return f"Error: Could not resolve airport code for '{city_name}'" + return code + + @tool("search_flights") + async def search_flights( + origin_code: str, destination_code: str, travel_date: Optional[str] = None + ): + """Search for flights between two airports using their IATA codes. + + Args: + origin_code: Origin airport IATA code (3 letters, e.g., 'SEA', 'KHI') + destination_code: Destination airport IATA code (3 letters, e.g., 'ATL', 'DXB') + travel_date: Travel date in YYYY-MM-DD format. If not provided, defaults to TODAY. + + Note: Flight data is only available for today and up to 2 days ahead. + + IMPORTANT: Use the resolve_airport_code tool first if you only have city names. + """ + # Default to today's date if not provided + if not travel_date: + travel_date = datetime.now().strftime("%Y-%m-%d") + + # Validate that we have proper IATA codes (3 letters) + if len(origin_code) != 3 or len(destination_code) != 3: + return { + "error": f"Invalid airport codes. Expected 3-letter IATA codes, got origin='{origin_code}' and destination='{destination_code}'. Use resolve_airport_code tool first to convert city names to codes.", + } + + flight_data = await fetch_flights(origin_code, destination_code, travel_date) + return { + "origin_code": origin_code, + "destination_code": destination_code, + "travel_date": travel_date, + "flights": flight_data.get("flights", []), + "count": flight_data.get("count", 0), + "error": flight_data.get("error"), + } + + llm = LLM( + model=FLIGHT_MODEL, + api_key="EMPTY", + base_url=LLM_GATEWAY_ENDPOINT, + temperature=request_body.get("temperature", 0.7), + max_tokens=request_body.get("max_tokens", 1000), + stream=streaming, + extra_headers=extra_headers, + ) + + agent = Agent( + role="Flight Information Specialist", + goal="Provide accurate, clear flight options and details for travelers.", + backstory=SYSTEM_PROMPT, + tools=[resolve_airport_code_tool, search_flights], + llm=llm, + verbose=False, + reasoning=False, + ) + + task = Task( + description=( + "Answer the user's request based on this conversation:\n{conversation}\n\n" + "CRITICAL: Output ONLY your final answer to the user. Do NOT output:\n" + "- Thought, Action, Action Input, Observation, or any reasoning steps\n" + "- Tool names, parameters, or results\n" + "- Planning or internal deliberation\n\n" + "Tool workflow (execute silently):\n" + "1. City names → use resolve_airport_code to get IATA codes\n" + "2. Use search_flights with the codes\n" + "3. Present results conversationally\n\n" + "Output requirements:\n" + "- Natural conversational text only\n" + "- NO JSON, code blocks, or technical formatting\n" + "- Clean bullet points with readable times (9:00 AM format)\n" + "- Direct answer with no reasoning shown" + ), + expected_output=( + "A direct answer to the user in plain text with flight options. " + "NO Thought/Action/Observation. NO code blocks. NO JSON. " + "Just natural language with bullet points." + ), + agent=agent, + ) + + return Crew(agents=[agent], tasks=[task], stream=streaming, verbose=False) + + +async def resolve_airport_code(city_name: str, request: Request) -> Optional[str]: + if not city_name: + return None + + try: + ctx = extract(request.headers) + extra_headers = {} + inject(extra_headers, context=ctx) + + response = await openai_client.chat.completions.create( + model=EXTRACTION_MODEL, + messages=[ + { + "role": "system", + "content": "Convert city names to primary airport IATA codes. Return only the 3-letter code. Examples: Seattle→SEA, Atlanta→ATL, New York→JFK, Dubai→DXB, Lahore→LHE", + }, + {"role": "user", "content": city_name}, + ], + temperature=0.1, + max_tokens=10, + extra_headers=extra_headers or None, + ) + + code = response.choices[0].message.content.strip().upper() + code = code.strip("\"'`.,!? \n\t") + return code if len(code) == 3 else None + + except Exception as e: + logger.error(f"Error resolving airport code for {city_name}: {e}") + return None + + +async def fetch_flights( + origin_code: str, dest_code: str, travel_date: Optional[str] = None +) -> dict: + """Fetch flights between two airports. Note: FlightAware limits to 2 days ahead.""" + search_date = travel_date or datetime.now().strftime("%Y-%m-%d") + + search_date_obj = datetime.strptime(search_date, "%Y-%m-%d") + today = datetime.now().replace(hour=0, minute=0, second=0, microsecond=0) + days_ahead = (search_date_obj - today).days + + if days_ahead > 2: + logger.warning( + f"Date {search_date} is {days_ahead} days ahead, exceeds FlightAware limit" + ) + return { + "origin_code": origin_code, + "destination_code": dest_code, + "flights": [], + "count": 0, + "error": f"FlightAware API only provides data up to 2 days ahead. Requested date ({search_date}) is {days_ahead} days away.", + } + + try: + url = f"{AEROAPI_BASE_URL}/airports/{origin_code}/flights/to/{dest_code}" + headers = {"x-apikey": AEROAPI_KEY} + params = { + "start": f"{search_date}T00:00:00Z", + "end": f"{search_date}T23:59:59Z", + "connection": "nonstop", + "max_pages": 1, + } + + response = await http_client.get(url, headers=headers, params=params) + + if response.status_code != 200: + logger.error( + f"FlightAware API error {response.status_code}: {response.text}" + ) + return { + "origin_code": origin_code, + "destination_code": dest_code, + "flights": [], + "count": 0, + } + + data = response.json() + flights = [] + + for flight_group in data.get("flights", [])[:5]: + segments = flight_group.get("segments", []) + if not segments: + continue + + flight = segments[0] + flights.append( + { + "airline": flight.get("operator"), + "flight_number": flight.get("ident_iata") or flight.get("ident"), + "departure_time": flight.get("scheduled_out"), + "arrival_time": flight.get("scheduled_in"), + "origin": flight["origin"].get("code_iata") + if isinstance(flight.get("origin"), dict) + else None, + "destination": flight["destination"].get("code_iata") + if isinstance(flight.get("destination"), dict) + else None, + "aircraft_type": flight.get("aircraft_type"), + "status": flight.get("status"), + "terminal_origin": flight.get("terminal_origin"), + "gate_origin": flight.get("gate_origin"), + } + ) + + logger.info(f"Found {len(flights)} flights from {origin_code} to {dest_code}") + return { + "origin_code": origin_code, + "destination_code": dest_code, + "flights": flights, + "count": len(flights), + } + + except Exception as e: + logger.error(f"Error fetching flights: {e}") + return { + "origin_code": origin_code, + "destination_code": dest_code, + "flights": [], + "count": 0, + } + + +app = FastAPI(title="Flight Information Agent", version="1.0.0") + + +@app.post("/v1/chat/completions") +async def handle_request(request: Request): + request_body = await request.json() + is_streaming = request_body.get("stream", True) + model = request_body.get("model", FLIGHT_MODEL) + + if is_streaming: + return StreamingResponse( + invoke_flight_agent_stream(request, request_body, model), + media_type="text/event-stream", + headers={"content-type": "text/event-stream"}, + ) + + content = await invoke_flight_agent(request, request_body) + return JSONResponse( + { + "id": f"chatcmpl-{uuid.uuid4().hex[:8]}", + "object": "chat.completion", + "created": int(time.time()), + "model": model, + "choices": [ + { + "index": 0, + "message": {"role": "assistant", "content": content}, + "finish_reason": "stop", + } + ], + } + ) + + +async def invoke_flight_agent(request: Request, request_body: dict): + """Generate flight information using a CrewAI agent.""" + messages = request_body.get("messages", []) + crew = build_flight_crew(request, request_body, streaming=False) + conversation = json.dumps(messages, indent=2) + + try: + result = crew.kickoff(inputs={"conversation": conversation}) + if hasattr(result, "raw"): + return result.raw + return str(result) + except Exception as e: + logger.error(f"Error generating response: {e}") + return "I'm having trouble retrieving flight information right now. Please try again." + + +async def invoke_flight_agent_stream( + request: Request, + request_body: dict, + model: str, +): + messages = request_body.get("messages", []) + crew = build_flight_crew(request, request_body, streaming=True) + conversation = json.dumps(messages, indent=2) + + try: + streaming = crew.kickoff(inputs={"conversation": conversation}) + for chunk in streaming: + content = getattr(chunk, "content", None) + if content is None: + content = str(chunk) + if not content: + continue + yield f"data: {json.dumps(create_chat_completion_chunk(model, content))}\n\n" + + yield f"data: {json.dumps(create_chat_completion_chunk(model, '', 'stop'))}\n\n" + yield "data: [DONE]\n\n" + except Exception as e: + logger.error(f"Error streaming response: {e}") + error_message = "I'm having trouble retrieving flight information right now. Please try again." + yield f"data: {json.dumps(create_chat_completion_chunk(model, error_message, 'stop'))}\n\n" + yield "data: [DONE]\n\n" + + +@app.get("/health") +async def health_check(): + return {"status": "healthy", "agent": "flight_information"} + + +def start_server(host: str = "0.0.0.0", port: int = 10520): + uvicorn.run( + app, + host=host, + port=port, + log_config={ + "version": 1, + "disable_existing_loggers": False, + "formatters": { + "default": { + "format": "%(asctime)s - [FLIGHT_AGENT] - %(levelname)s - %(message)s" + } + }, + "handlers": { + "default": { + "formatter": "default", + "class": "logging.StreamHandler", + "stream": "ext://sys.stdout", + } + }, + "root": {"level": "INFO", "handlers": ["default"]}, + }, + ) + + +if __name__ == "__main__": + start_server() diff --git a/demos/use_cases/multi_frameworks/docker-compose.yaml b/demos/use_cases/multi_frameworks/docker-compose.yaml new file mode 100644 index 00000000..ee1c7b18 --- /dev/null +++ b/demos/use_cases/multi_frameworks/docker-compose.yaml @@ -0,0 +1,68 @@ +services: + plano: + build: + context: ../../../ + dockerfile: Dockerfile + ports: + - "12000:12000" + - "8001:8001" + environment: + - ARCH_CONFIG_PATH=/config/config.yaml + - OPENAI_API_KEY=${OPENAI_API_KEY:?OPENAI_API_KEY environment variable is required but not set} + volumes: + - ./config.yaml:/app/arch_config.yaml + - /etc/ssl/cert.pem:/etc/ssl/cert.pem + + crewai-flight-agent: + build: + context: . + dockerfile: Dockerfile + container_name: crewai-flight-agent + restart: always + ports: + - "10520:10520" + environment: + - LLM_GATEWAY_ENDPOINT=http://host.docker.internal:12000/v1 + - AEROAPI_KEY=${AEROAPI_KEY:-} + - PYTHONUNBUFFERED=1 + command: ["python", "-u", "crewai/flight_agent.py"] + extra_hosts: + - "host.docker.internal:host-gateway" + + langchain-weather-agent: + build: + context: . + dockerfile: Dockerfile + container_name: langchain-weather-agent + restart: always + ports: + - "10510:10510" + environment: + - LLM_GATEWAY_ENDPOINT=http://host.docker.internal:12000/v1 + - PYTHONUNBUFFERED=1 + command: ["python", "-u", "langchain/weather_agent.py"] + extra_hosts: + - "host.docker.internal:host-gateway" + + open-web-ui: + image: dyrnq/open-webui:main + restart: always + ports: + - "8080:8080" + environment: + - DEFAULT_MODEL=gpt-4o-mini + - ENABLE_OPENAI_API=true + - OPENAI_API_BASE_URL=http://host.docker.internal:8001/v1 + depends_on: + - langchain-weather-agent + - crewai-flight-agent + + jaeger: + build: + context: ../../shared/jaeger + container_name: jaeger + restart: always + ports: + - "16686:16686" # Jaeger UI + - "4317:4317" # OTLP gRPC receiver + - "4318:4318" # OTLP HTTP receiver diff --git a/demos/use_cases/multi_frameworks/gateway_test.rest b/demos/use_cases/multi_frameworks/gateway_test.rest new file mode 100644 index 00000000..584a379f --- /dev/null +++ b/demos/use_cases/multi_frameworks/gateway_test.rest @@ -0,0 +1,21 @@ +### Test weather agent via Plano gateway +POST http://localhost:11000/v1/chat/completions +Content-Type: application/json + +{ + "model": "gpt-4o", + "messages": [ + {"role": "user", "content": "What's the weather in Seattle today?"} + ] +} + +### Test flight agent via Plano gateway +POST http://localhost:8001/v1/chat/completions +Content-Type: application/json + +{ + "model": "gpt-4o", + "messages": [ + {"role": "user", "content": "Find flights from Seattle to New York"} + ] +} diff --git a/demos/use_cases/multi_frameworks/langchain/weather_agent.py b/demos/use_cases/multi_frameworks/langchain/weather_agent.py new file mode 100644 index 00000000..1341877d --- /dev/null +++ b/demos/use_cases/multi_frameworks/langchain/weather_agent.py @@ -0,0 +1,456 @@ +import json +import logging +import os +import time +import uuid +from datetime import datetime +from typing import Optional +from urllib.parse import quote + +import httpx +import uvicorn +from fastapi import FastAPI, Request +from fastapi.responses import JSONResponse, StreamingResponse +from langchain.agents import create_agent +from langchain_core.tools import tool +from langchain_openai import ChatOpenAI +from openai import AsyncOpenAI +from opentelemetry.propagate import extract, inject +from pydantic import BaseModel, Field + +from openai_protocol import create_chat_completion_chunk + +logging.basicConfig( + level=logging.INFO, + format="%(asctime)s - [WEATHER_AGENT] - %(levelname)s - %(message)s", +) +logger = logging.getLogger(__name__) + +LLM_GATEWAY_ENDPOINT = os.getenv( + "LLM_GATEWAY_ENDPOINT", "http://host.docker.internal:12000/v1" +) +WEATHER_MODEL = "openai/gpt-4o" +LOCATION_MODEL = "openai/gpt-4o-mini" + +openai_client_via_plano = AsyncOpenAI( + base_url=LLM_GATEWAY_ENDPOINT, + api_key="EMPTY", +) + +app = FastAPI(title="Weather Forecast Agent", version="1.0.0") + +http_client = httpx.AsyncClient(timeout=10.0) + + +def celsius_to_fahrenheit(temp_c: Optional[float]) -> Optional[float]: + return round(temp_c * 9 / 5 + 32, 1) if temp_c is not None else None + + +async def get_weather_data( + request: Request, + messages: list, + days: int = 1, + request_id: str = None, + city_override: Optional[str] = None, +): + instructions = """You are a city name extractor. Look at the FINAL user message ONLY and extract the city name. + +The FINAL user message will be the LAST message with role "user" in the conversation. + +IMPORTANT: Ignore all previous messages. Focus ONLY on the FINAL user message. + +Examples of what to extract from the FINAL user message: +- "What's the weather in Seattle?" -> Seattle +- "What's the weather in San Francisco?" -> San Francisco +- "What about Dubai?" -> Dubai +- "How's the weather in Tokyo today?" -> Tokyo +- "Tell me about Lahore" -> Lahore +- "What about there?" -> Look at conversation for the last mentioned city + +Output ONLY the city name. Nothing else. One word or city name only. +If no city can be found, output: NOT_FOUND""" + + location = city_override + if not location: + try: + user_messages = [ + msg.get("content") for msg in messages if msg.get("role") == "user" + ] + + if not user_messages: + location = "New York" + else: + ctx = extract(request.headers) + extra_headers = {} + if request_id: + extra_headers["x-request-id"] = request_id + inject(extra_headers, context=ctx) + response = await openai_client_via_plano.chat.completions.create( + model=LOCATION_MODEL, + messages=[ + {"role": "system", "content": instructions}, + *[ + {"role": msg.get("role"), "content": msg.get("content")} + for msg in messages + ], + ], + temperature=0.1, + max_tokens=10, + extra_headers=extra_headers if extra_headers else None, + ) + + location = response.choices[0].message.content.strip().strip("\"'`.,!?") + logger.info("Location extraction result: '%s'", location) + + if not location or location.upper() == "NOT_FOUND": + location = "New York" + logger.info("Location not found, defaulting to: %s", location) + + except Exception as e: + logger.error("Error extracting location: %s", e) + location = "New York" + + logger.info("Fetching weather for location: '%s' (days: %s)", location, days) + + try: + geocode_url = ( + "https://geocoding-api.open-meteo.com/v1/search?" + f"name={quote(location)}&count=1&language=en&format=json" + ) + geocode_response = await http_client.get(geocode_url) + + if geocode_response.status_code != 200 or not geocode_response.json().get( + "results" + ): + logger.warning("Could not geocode %s, using New York", location) + location = "New York" + geocode_url = ( + "https://geocoding-api.open-meteo.com/v1/search?" + f"name={quote(location)}&count=1&language=en&format=json" + ) + geocode_response = await http_client.get(geocode_url) + + geocode_data = geocode_response.json() + if not geocode_data.get("results"): + return { + "location": location, + "weather": { + "date": datetime.now().strftime("%Y-%m-%d"), + "day_name": datetime.now().strftime("%A"), + "temperature_c": None, + "temperature_f": None, + "weather_code": None, + "error": "Could not retrieve weather data", + }, + } + + result = geocode_data["results"][0] + location_name = result.get("name", location) + latitude = result["latitude"] + longitude = result["longitude"] + + logger.info( + "Geocoded '%s' to %s (%s, %s)", location, location_name, latitude, longitude + ) + + weather_url = ( + "https://api.open-meteo.com/v1/forecast?" + f"latitude={latitude}&longitude={longitude}&" + "current=temperature_2m&" + "daily=sunrise,sunset,temperature_2m_max,temperature_2m_min,weather_code&" + f"forecast_days={days}&timezone=auto" + ) + + weather_response = await http_client.get(weather_url) + if weather_response.status_code != 200: + return { + "location": location_name, + "weather": { + "date": datetime.now().strftime("%Y-%m-%d"), + "day_name": datetime.now().strftime("%A"), + "temperature_c": None, + "temperature_f": None, + "weather_code": None, + "error": "Could not retrieve weather data", + }, + } + + weather_data = weather_response.json() + current_temp = weather_data.get("current", {}).get("temperature_2m") + daily = weather_data.get("daily", {}) + + forecast = [] + for i in range(days): + date_str = daily["time"][i] + date_obj = datetime.fromisoformat(date_str.replace("Z", "+00:00")) + + temp_max = ( + daily.get("temperature_2m_max", [])[i] + if daily.get("temperature_2m_max") + else None + ) + temp_min = ( + daily.get("temperature_2m_min", [])[i] + if daily.get("temperature_2m_min") + else None + ) + weather_code = ( + daily.get("weather_code", [0])[i] if daily.get("weather_code") else 0 + ) + sunrise = daily.get("sunrise", [])[i] if daily.get("sunrise") else None + sunset = daily.get("sunset", [])[i] if daily.get("sunset") else None + + temp_c = ( + temp_max + if temp_max is not None + else (current_temp if i == 0 and current_temp else temp_min) + ) + + forecast.append( + { + "date": date_str.split("T")[0], + "day_name": date_obj.strftime("%A"), + "temperature_c": round(temp_c, 1) if temp_c is not None else None, + "temperature_f": celsius_to_fahrenheit(temp_c), + "temperature_max_c": ( + round(temp_max, 1) if temp_max is not None else None + ), + "temperature_min_c": ( + round(temp_min, 1) if temp_min is not None else None + ), + "weather_code": weather_code, + "sunrise": sunrise.split("T")[1] if sunrise else None, + "sunset": sunset.split("T")[1] if sunset else None, + } + ) + + return {"location": location_name, "forecast": forecast} + + except Exception as e: + logger.error("Error getting weather data: %s", e) + return { + "location": location, + "weather": { + "date": datetime.now().strftime("%Y-%m-%d"), + "day_name": datetime.now().strftime("%A"), + "temperature_c": None, + "temperature_f": None, + "weather_code": None, + "error": "Could not retrieve weather data", + }, + } + + +class WeatherToolInput(BaseModel): + city: str = Field(..., description="City name to look up weather for") + days: int = Field( + 1, + ge=1, + le=16, + description="Number of forecast days (1-16). Defaults to 1 (current).", + ) + + +WEATHER_SYSTEM_PROMPT = """You are a weather assistant in a multi-agent system. You will receive weather data in JSON format with these fields: + +- "location": City name +- "forecast": Array of weather objects, each with date, day_name, temperature_c, temperature_f, temperature_max_c, temperature_min_c, weather_code, sunrise, sunset +- weather_code: WMO code (0=clear, 1-3=partly cloudy, 45-48=fog, 51-67=rain, 71-86=snow, 95-99=thunderstorm) + +Your task: +1. Present the weather/forecast clearly for the location +2. For single day: show current conditions +3. For multi-day: show each day with date and conditions +4. Include temperature in both Celsius and Fahrenheit +5. Describe conditions naturally based on weather_code +6. Use conversational language + +Multi-agent context: You are part of a larger system. If the conversation includes additional context or information from other sources, acknowledge and incorporate it naturally into your response. Your primary focus is weather, but be aware of the full conversation context. + +Remember: Only use the provided data. If fields are null, mention data is unavailable.""" + + +def build_weather_agent( + request: Request, + request_body: dict, + streaming: bool, +): + messages = request_body.get("messages", []) + ctx = extract(request.headers) + extra_headers = {"x-envoy-max-retries": "3"} + request_id = request.headers.get("x-request-id") + if request_id: + extra_headers["x-request-id"] = request_id + inject(extra_headers, context=ctx) + + @tool("get_weather_forecast", args_schema=WeatherToolInput) + async def get_weather_forecast(city: str, days: int = 1): + """Fetch a structured weather forecast for a city.""" + return await get_weather_data( + request, + messages, + days, + request_id=request_id, + city_override=city, + ) + + llm = ChatOpenAI( + model=WEATHER_MODEL, + api_key="EMPTY", + base_url=LLM_GATEWAY_ENDPOINT, + temperature=request_body.get("temperature", 0.7), + max_tokens=request_body.get("max_tokens", 1000), + streaming=streaming, + default_headers=extra_headers, + ) + + return create_agent( + model=llm, + tools=[get_weather_forecast], + system_prompt=WEATHER_SYSTEM_PROMPT, + ) + + +@app.post("/v1/chat/completions") +async def handle_request(request: Request): + request_body = await request.json() + is_streaming = request_body.get("stream", True) + + try: + model = request_body.get("model", WEATHER_MODEL) + + if is_streaming: + return StreamingResponse( + invoke_weather_agent_stream(request, request_body, model), + media_type="text/event-stream", + headers={"content-type": "text/event-stream"}, + ) + + content = await invoke_weather_agent(request, request_body) + return JSONResponse( + { + "id": f"chatcmpl-{uuid.uuid4().hex[:8]}", + "object": "chat.completion", + "created": int(time.time()), + "model": model, + "choices": [ + { + "index": 0, + "message": {"role": "assistant", "content": content}, + "finish_reason": "stop", + } + ], + } + ) + except Exception as e: + logger.error("Error generating weather response: %s", e) + if is_streaming: + return StreamingResponse( + invoke_weather_agent_error_stream( + request_body, + "I'm having trouble retrieving weather information right now. Please try again.", + ), + media_type="text/event-stream", + headers={"content-type": "text/event-stream"}, + ) + return JSONResponse( + { + "error": { + "message": "I'm having trouble retrieving weather information right now. Please try again.", + "type": "server_error", + } + }, + status_code=500, + ) + + +async def invoke_weather_agent( + request: Request, + request_body: dict, +): + messages = request_body.get("messages", []) + agent = build_weather_agent(request, request_body, streaming=False) + + result = await agent.ainvoke({"messages": messages}) + final_message = result["messages"][-1] + return ( + final_message.content + if hasattr(final_message, "content") + else str(final_message) + ) + + +async def invoke_weather_agent_stream( + request: Request, + request_body: dict, + model: str, +): + messages = request_body.get("messages", []) + agent = build_weather_agent(request, request_body, streaming=True) + + try: + async for event in agent.astream_events( + {"messages": messages}, + version="v2", + ): + if event.get("event") != "on_chat_model_stream": + continue + chunk = event.get("data", {}).get("chunk") + content = getattr(chunk, "content", None) + if not content: + continue + if isinstance(content, list): + content = "".join( + piece for piece in content if isinstance(piece, str) + ).strip() + if not content: + continue + yield f"data: {json.dumps(create_chat_completion_chunk(model, content))}\n\n" + + yield f"data: {json.dumps(create_chat_completion_chunk(model, '', 'stop'))}\n\n" + yield "data: [DONE]\n\n" + except Exception as e: + logger.error("Error streaming weather response: %s", e) + error_message = "I'm having trouble retrieving weather information right now. Please try again." + yield f"data: {json.dumps(create_chat_completion_chunk(model, error_message, 'stop'))}\n\n" + yield "data: [DONE]\n\n" + + +async def invoke_weather_agent_error_stream(request_body: dict, error_message: str): + model = request_body.get("model", WEATHER_MODEL) + yield f"data: {json.dumps(create_chat_completion_chunk(model, error_message, 'stop'))}\n\n" + yield "data: [DONE]\n\n" + + +@app.get("/health") +async def health_check(): + return {"status": "healthy", "agent": "weather_forecast"} + + +def start_server(host: str = "localhost", port: int = 10510): + uvicorn.run( + app, + host=host, + port=port, + log_config={ + "version": 1, + "disable_existing_loggers": False, + "formatters": { + "default": { + "format": "%(asctime)s - [WEATHER_AGENT] - %(levelname)s - %(message)s", + } + }, + "handlers": { + "default": { + "formatter": "default", + "class": "logging.StreamHandler", + "stream": "ext://sys.stdout", + } + }, + "root": {"level": "INFO", "handlers": ["default"]}, + }, + ) + + +if __name__ == "__main__": + start_server(host="0.0.0.0", port=10510) diff --git a/demos/use_cases/multi_frameworks/openai_protocol.py b/demos/use_cases/multi_frameworks/openai_protocol.py new file mode 100644 index 00000000..1c8000a2 --- /dev/null +++ b/demos/use_cases/multi_frameworks/openai_protocol.py @@ -0,0 +1,35 @@ +"""OpenAI API protocol utilities for standardized response formatting.""" + +import time +import uuid +from typing import Optional + + +def create_chat_completion_chunk( + model: str, + content: str, + finish_reason: Optional[str] = None, +) -> dict: + """Create an OpenAI-compatible streaming chat completion chunk. + + Args: + model: Model identifier to include in the response + content: Content text for this chunk + finish_reason: Optional finish reason ('stop', 'length', etc.) + + Returns: + Dictionary formatted as OpenAI chat.completion.chunk + """ + return { + "id": f"chatcmpl-{uuid.uuid4().hex[:8]}", + "object": "chat.completion.chunk", + "created": int(time.time()), + "model": model, + "choices": [ + { + "index": 0, + "delta": {"content": content} if content else {}, + "finish_reason": finish_reason, + } + ], + } diff --git a/demos/use_cases/multi_frameworks/pyproject.toml b/demos/use_cases/multi_frameworks/pyproject.toml new file mode 100644 index 00000000..6bb87af8 --- /dev/null +++ b/demos/use_cases/multi_frameworks/pyproject.toml @@ -0,0 +1,26 @@ +[project] +name = "multi-framework-agents" +version = "0.1.0" +description = "Multi-Framework Travel Agents - CrewAI and LangChain integration" +readme = "README.md" +requires-python = ">=3.10" +dependencies = [ + "click>=8.2.1", + "pydantic>=2.11.7", + "fastapi>=0.115.0", + "uvicorn>=0.30.0", + "openai>=1.0.0", + "httpx>=0.24.0", + "opentelemetry-api>=1.20.0", + "crewai[tools]>=0.70.0", + "langchain>=1.0.0", + "langchain-core>=1.0.0", + "langchain-openai>=0.3.0", +] + +[build-system] +requires = ["hatchling"] +build-backend = "hatchling.build" + +[tool.hatch.build.targets.wheel] +packages = ["crewai", "langchain"] diff --git a/demos/use_cases/multi_frameworks/test.rest b/demos/use_cases/multi_frameworks/test.rest new file mode 100644 index 00000000..f3ecaf66 --- /dev/null +++ b/demos/use_cases/multi_frameworks/test.rest @@ -0,0 +1,43 @@ +@llm_endpoint = http://localhost:12000 + +### Travel Agent Chat Completion Request +POST {{llm_endpoint}}/v1/chat/completions HTTP/1.1 +Content-Type: application/json + +{ + "model": "gpt-4o", + "messages": [ + { + "role": "user", + "content": "What's the weather in Seattle?" + }, + { + "role": "assistant", + "content": "The weather in Seattle is sunny with a temperature of 60 degrees Fahrenheit." + }, + { + "role": "user", + "content": "What is one Alaska flight that goes direct to Atlanta from Seattle?" + } + ], + "max_tokens": 1000, + "stream": false, + "temperature": 1.0 +} + + +### test 8001 + +### test upstream llm +POST http://localhost:8001/v1/chat/completions HTTP/1.1 +Content-Type: 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"2025-06-08T17:06:39.4Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/2e/54/647ade08bf0db230bfea292f893923872fd20be6ac6f53b2b936ba839d75/zipp-3.23.0-py3-none-any.whl", hash = "sha256:071652d6115ed432f5ce1d34c336c0adfd6a884660d1e9712a256d3d3bd4b14e", size = 10276, upload-time = "2025-06-08T17:06:38.034Z" }, +] From 1b03b5fe19df95e7dd4d1e382379c466e70bc57e Mon Sep 17 00:00:00 2001 From: Musa Date: Fri, 16 Jan 2026 13:12:01 -0800 Subject: [PATCH 12/12] remove serde changes --- crates/brightstaff/src/handlers/function_calling.rs | 1 - crates/hermesllm/src/apis/openai.rs | 5 ----- crates/hermesllm/src/transforms/lib.rs | 1 - .../hermesllm/src/transforms/request/from_openai.rs | 11 ++++++++--- crates/hermesllm/src/transforms/response/to_openai.rs | 1 - 5 files changed, 8 insertions(+), 11 deletions(-) diff --git a/crates/brightstaff/src/handlers/function_calling.rs b/crates/brightstaff/src/handlers/function_calling.rs index 163ef6f0..8f641df6 100644 --- a/crates/brightstaff/src/handlers/function_calling.rs +++ b/crates/brightstaff/src/handlers/function_calling.rs @@ -649,7 +649,6 @@ impl ArchFunctionHandler { for (idx, message) in messages.iter().enumerate() { let mut role = message.role.clone(); let mut content = match &message.content { - MessageContent::Null => String::new(), MessageContent::Text(text) => text.clone(), MessageContent::Parts(_) => String::new(), }; diff --git a/crates/hermesllm/src/apis/openai.rs b/crates/hermesllm/src/apis/openai.rs index 278d2053..834c33ec 100644 --- a/crates/hermesllm/src/apis/openai.rs +++ b/crates/hermesllm/src/apis/openai.rs @@ -219,7 +219,6 @@ impl ResponseMessage { #[derive(Serialize, Deserialize, Debug, Clone)] #[serde(untagged)] pub enum MessageContent { - Null, Text(String), Parts(Vec), } @@ -228,7 +227,6 @@ pub enum MessageContent { impl ExtractText for MessageContent { fn extract_text(&self) -> String { match self { - MessageContent::Null => String::new(), MessageContent::Text(text) => text.clone(), MessageContent::Parts(parts) => parts.extract_text(), } @@ -250,7 +248,6 @@ impl ExtractText for Vec { impl Display for MessageContent { fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result { match self { - MessageContent::Null => write!(f, ""), MessageContent::Text(text) => write!(f, "{}", text), MessageContent::Parts(parts) => { let text_parts: Vec = parts @@ -627,7 +624,6 @@ impl ProviderRequest for ChatCompletionsRequest { self.messages.iter().fold(String::new(), |acc, m| { acc + " " + &match &m.content { - MessageContent::Null => String::new(), MessageContent::Text(text) => text.clone(), MessageContent::Parts(parts) => parts .iter() @@ -644,7 +640,6 @@ impl ProviderRequest for ChatCompletionsRequest { fn get_recent_user_message(&self) -> Option { self.messages.last().and_then(|msg| { match &msg.content { - MessageContent::Null => None, MessageContent::Text(text) => Some(text.clone()), MessageContent::Parts(_) => None, // No user message in parts } diff --git a/crates/hermesllm/src/transforms/lib.rs b/crates/hermesllm/src/transforms/lib.rs index 13d2dac3..a44f8d79 100644 --- a/crates/hermesllm/src/transforms/lib.rs +++ b/crates/hermesllm/src/transforms/lib.rs @@ -188,7 +188,6 @@ pub fn convert_openai_message_to_anthropic_content( // Handle regular content match &message.content { - MessageContent::Null => {} MessageContent::Text(text) => { if !text.is_empty() { blocks.push(MessagesContentBlock::Text { diff --git a/crates/hermesllm/src/transforms/request/from_openai.rs b/crates/hermesllm/src/transforms/request/from_openai.rs index 0667f53a..e39cfed3 100644 --- a/crates/hermesllm/src/transforms/request/from_openai.rs +++ b/crates/hermesllm/src/transforms/request/from_openai.rs @@ -174,7 +174,10 @@ impl TryFrom for Vec { impl From for MessagesSystemPrompt { fn from(val: Message) -> Self { - let system_text = val.content.extract_text(); + let system_text = match val.content { + MessageContent::Text(text) => text, + MessageContent::Parts(parts) => parts.extract_text(), + }; MessagesSystemPrompt::Single(system_text) } } @@ -245,7 +248,6 @@ impl TryFrom for BedrockMessage { Role::User => { // Convert user message content to content blocks match message.content { - MessageContent::Null => {} MessageContent::Text(text) => { if !text.is_empty() { content_blocks.push(ContentBlock::Text { text }); @@ -548,7 +550,10 @@ impl TryFrom for ConverseRequest { for message in req.messages { match message.role { Role::System => { - let system_text = message.content.extract_text(); + let system_text = match message.content { + MessageContent::Text(text) => text, + MessageContent::Parts(parts) => parts.extract_text(), + }; system_messages.push(SystemContentBlock::Text { text: system_text }); } _ => { diff --git a/crates/hermesllm/src/transforms/response/to_openai.rs b/crates/hermesllm/src/transforms/response/to_openai.rs index 7848e6b9..9e3276c9 100644 --- a/crates/hermesllm/src/transforms/response/to_openai.rs +++ b/crates/hermesllm/src/transforms/response/to_openai.rs @@ -209,7 +209,6 @@ impl TryFrom for ChatCompletionsResponse { // Convert MessageContent to String for response let content_string = match content { - MessageContent::Null => None, MessageContent::Text(text) => Some(text), MessageContent::Parts(parts) => { let text = parts.extract_text();