From 8ec949f00cc5522269bf12cd5ca4d2b457c71891 Mon Sep 17 00:00:00 2001 From: Evan Sandoval Date: Mon, 16 Feb 2026 14:35:48 -0800 Subject: [PATCH 1/3] updated; TODO: remove the relative path for earthshaker --- README.md | 81 ++- proxy_test.py | 288 ++++++++++ pyproject.toml | 6 +- src/green_agent/agent.py | 15 +- src/green_agent/run.sh | 3 + src/white_agent/agent.py | 35 +- src/white_agent/run.sh | 3 + uv.lock | 1173 ++++++++++++++++++++------------------ 8 files changed, 1012 insertions(+), 592 deletions(-) create mode 100644 proxy_test.py create mode 100755 src/green_agent/run.sh create mode 100755 src/white_agent/run.sh diff --git a/README.md b/README.md index 6e354b1..4abdbc5 100644 --- a/README.md +++ b/README.md @@ -6,9 +6,17 @@ Example code for agentifying Tau-Bench using A2A and MCP standards. ``` src/ -├── green_agent/ # Assessment manager agent -├── white_agent/ # Target agent being tested -└── launcher.py # Evaluation coordinator +├── green_agent/ # Assessment manager agent (runs tau-bench, talks to white via A2A) +│ ├── agent.py +│ ├── run.sh # Entry point for agentbeats controller +│ └── tau_green_agent.toml +├── white_agent/ # Target agent being tested (calls GPT-4o via LiteLLM) +│ ├── agent.py +│ └── run.sh # Entry point for agentbeats controller +├── my_util/ # A2A client helpers +└── launcher.py # Local-mode evaluation coordinator +main.py # CLI entry point +proxy_test.py # Automated proxy mode test script ``` ## Installation @@ -17,11 +25,72 @@ src/ uv sync ``` -## Usage +Requires an editable install of [earthshaker](../earthshaker) (provides the `agentbeats` CLI). -First, configure `.env` with `OPENAI_API_KEY=...`, then +## Environment Variables + +Create a `.env` file in the repo root: + +``` +OPENAI_API_KEY=sk-... +``` + +Both agents call `dotenv.load_dotenv()` on startup, which reads this file. The key is used by: +- **White agent** — LiteLLM uses it to call GPT-4o +- **Green agent** — tau-bench uses it internally for the simulated user + +## Local Mode + +Runs both agents in a single process on localhost. No controller or backend needed. ```bash -# Launch complete evaluation uv run python main.py launch ``` + +Starts green on port 9001 and white on 9002, runs one tau-bench task, and prints the result. + +## Proxy Mode + +Runs agents behind the agentbeats backend, which proxies A2A traffic between them and manages assessments. + +Each agent is started by a controller (`agentbeats run_ctrl`) that sets `AGENT_PORT` and `AGENT_URL` env vars before running the agent's `run.sh`. The agents read these to bind to the correct port and advertise the proxy URL in their agent card. + +### Prerequisites + +- **`.env`** with `OPENAI_API_KEY` (see above) +- **earthshaker** installed (editable, via `uv sync`) +- **Backend** running at a reachable URL (default: `https://backend.evansandoval.org`) +- **`AB_API_KEY`** env var — your session cookie from the backend (GitHub OAuth). Find it in browser dev tools under Application > Cookies > `ab_api_key`. + +### Running + +```bash +export AB_API_KEY="your-cookie-value" +python proxy_test.py +``` + +This automates the full flow: + +1. Creates two proxied agents on the backend (green + white) +2. Launches `agentbeats run_ctrl` for each in their `src/` directories +3. Waits for the backend to confirm both agents are reachable +4. Creates a tau-bench assessment +5. Prints a URL to view results + +Press Ctrl+C to stop — the script cleans up controllers and deletes agents. + +### Options + +``` +--backend-url URL Backend API URL (or set AB_BACKEND_URL) +--repeat-n N Number of assessment repetitions (default: 1) +--no-browser Don't open results in browser +``` + +## How It Works + +The **green agent** receives an assessment task containing the white agent's URL and a tau-bench config. It sets up the tau-bench environment, then drives a multi-step conversation with the white agent over A2A — sending observations, receiving tool-call responses, executing them in the environment, and repeating until done. + +The **white agent** is a stateful A2A server that forwards messages to GPT-4o and returns the response, maintaining per-conversation message history. + +In **local mode**, `launcher.py` spawns both as `multiprocessing.Process` on localhost. In **proxy mode**, the backend routes A2A traffic through proxy URLs, so agents only need to reach the backend — not each other directly. diff --git a/proxy_test.py b/proxy_test.py new file mode 100644 index 0000000..eb7c8b2 --- /dev/null +++ b/proxy_test.py @@ -0,0 +1,288 @@ +#!/usr/bin/env python3 +""" +Tau Proxy Test Script + +Automates the full proxy agent test flow: +1. Creates green and white proxied agents via the backend API +2. Launches `agentbeats run_ctrl` for each agent +3. Waits for both agents to be ready +4. Creates a tau-bench assessment +5. Opens the frontend to view results + +Usage: + export AB_API_KEY="your-api-key-here" + python proxy_test.py [--backend-url https://backend.evansandoval.org] + +The AB_API_KEY is the cookie value from your browser session after logging in +via GitHub OAuth. You can find it in your browser's developer tools under +Application > Cookies > ab_api_key. +""" + +import argparse +import os +import signal +import socket +import subprocess +import sys +import time +import uuid + +import requests + +SCRIPT_DIR = os.path.dirname(os.path.abspath(__file__)) +GREEN_AGENT_DIR = os.path.join(SCRIPT_DIR, "src", "green_agent") +WHITE_AGENT_DIR = os.path.join(SCRIPT_DIR, "src", "white_agent") + +CHECK_READY_TIMEOUT = 90 # seconds +CHECK_READY_INTERVAL = 3 # seconds + + +def parse_args(): + parser = argparse.ArgumentParser(description="Run tau-bench proxy agent test") + parser.add_argument( + "--backend-url", + default=os.environ.get("AB_BACKEND_URL", "https://backend.evansandoval.org"), + help="Backend API URL (default: https://backend.evansandoval.org)", + ) + parser.add_argument( + "--repeat-n", + type=int, + default=1, + help="Number of assessment repetitions (default: 1)", + ) + parser.add_argument( + "--no-browser", + action="store_true", + help="Don't open the frontend in a browser", + ) + return parser.parse_args() + + +def get_api_key(): + api_key = os.environ.get("AB_API_KEY") + if not api_key: + print("Error: AB_API_KEY environment variable is required.") + print("Set it to your ab_api_key cookie value from the browser after logging in.") + sys.exit(1) + return api_key + + +def get_user_info(backend_url, cookies): + """Fetch the current user's info to get github_id.""" + resp = requests.get(f"{backend_url}/user", cookies=cookies) + if resp.status_code != 200: + print(f"Error: Failed to fetch user info: {resp.status_code} {resp.text}") + sys.exit(1) + return resp.json() + + +def create_agent(backend_url, cookies, name, is_green, user_id): + """Create a proxied agent via the backend API.""" + payload = { + "name": name, + "is_green": is_green, + "deploy_type": "proxied", + "secret": "", + "inject_litellm_proxy_api": False, + "ctrl_url": None, + "git_url": None, + "git_branch": None, + "docker_image_url": None, + "description_prompt": None, + "user_id": user_id, + } + resp = requests.post(f"{backend_url}/agents/", json=payload, cookies=cookies) + if resp.status_code != 200: + print(f"Error: Failed to create agent '{name}': {resp.status_code} {resp.text}") + sys.exit(1) + agent = resp.json() + print(f" Created agent '{name}' -> id={agent['id']}") + return agent + + +def find_free_port(): + """Find a free port by briefly binding to port 0.""" + with socket.socket(socket.AF_INET, socket.SOCK_STREAM) as s: + s.bind(("", 0)) + return s.getsockname()[1] + + +def start_controller(agent_id, agent_dir, ctrl_port): + """Launch `agentbeats run_ctrl --proxy-agent-id=` in the given directory.""" + cmd = ["agentbeats", "run_ctrl", f"--proxy-agent-id={agent_id}"] + api_key = os.environ.get("AB_API_KEY", "") + env = {**os.environ, "PORT": str(ctrl_port), "AB_API_KEY": api_key} + print(f" Starting controller in {os.path.basename(agent_dir)}/ (ctrl port {ctrl_port}): {' '.join(cmd)}") + proc = subprocess.Popen(cmd, cwd=agent_dir, env=env) + return proc + + +def wait_for_agent_ready(backend_url, cookies, agent_id, agent_name, timeout=CHECK_READY_TIMEOUT): + """Poll the most_recent_check endpoint until the agent is ready, triggering new checks as needed.""" + start = time.time() + while time.time() - start < timeout: + try: + # Trigger a fresh check + requests.get(f"{backend_url}/agents/{agent_id}/check_again", cookies=cookies) + + # Wait a moment for the check to complete + time.sleep(CHECK_READY_INTERVAL) + + resp = requests.get( + f"{backend_url}/agents/{agent_id}/most_recent_check", + cookies=cookies, + ) + if resp.status_code == 200: + check = resp.json() + reachable = check.get("is_ctrl_reachable") + agent_count = check.get("agent_count") + if reachable and agent_count and agent_count >= 1: + print(f" {agent_name} is ready (ctrl reachable, {agent_count} agent(s))") + return True + else: + status = f"reachable={reachable}, agents={agent_count}" + print(f" {agent_name} not ready yet ({status}), triggering new check...") + elif resp.status_code == 404: + print(f" {agent_name} has no checks yet, triggering new check...") + else: + print(f" {agent_name} check returned {resp.status_code}, retrying...") + except requests.RequestException as e: + print(f" {agent_name} check request failed: {e}, retrying...") + time.sleep(CHECK_READY_INTERVAL) + + print(f"Error: {agent_name} did not become ready within {timeout}s") + return False + + +def create_assessment(backend_url, cookies, green_agent_id, white_agent_id, repeat_n): + """Create a tau-bench assessment.""" + payload = { + "agents": [green_agent_id, white_agent_id], + "config": "tau-bench", + "repeat_n": repeat_n, + } + resp = requests.post(f"{backend_url}/assessments/", json=payload, cookies=cookies) + if resp.status_code != 200: + print(f"Error: Failed to create assessment: {resp.status_code} {resp.text}") + sys.exit(1) + assessment_ids = resp.json() + print(f" Created {len(assessment_ids)} assessment(s): {assessment_ids}") + return assessment_ids + + +def delete_agent(backend_url, cookies, agent_id, agent_name): + """Delete an agent from the backend.""" + try: + resp = requests.delete(f"{backend_url}/agents/{agent_id}", cookies=cookies) + if resp.status_code == 200: + print(f" Deleted agent '{agent_name}' ({agent_id})") + else: + print(f" Warning: Failed to delete agent '{agent_name}': {resp.status_code}") + except requests.RequestException: + print(f" Warning: Could not reach backend to delete agent '{agent_name}'") + + +def main(): + args = parse_args() + api_key = get_api_key() + cookies = {"ab_api_key": api_key} + backend_url = args.backend_url.rstrip("/") + + instance_id = uuid.uuid4().hex[:8] + green_name = f"tau-green-{instance_id}" + white_name = f"tau-white-{instance_id}" + + procs = [] + green_agent = None + white_agent = None + + def cleanup(signum=None, _frame=None): + print("\nCleaning up...") + for proc in procs: + if proc.poll() is None: + print(f" Terminating controller (pid={proc.pid})") + proc.terminate() + try: + proc.wait(timeout=5) + except subprocess.TimeoutExpired: + proc.kill() + if green_agent: + delete_agent(backend_url, cookies, green_agent["id"], green_name) + if white_agent: + delete_agent(backend_url, cookies, white_agent["id"], white_name) + if signum is not None: + sys.exit(1) + + signal.signal(signal.SIGINT, cleanup) + signal.signal(signal.SIGTERM, cleanup) + + # Step 1: Get user info + print(f"Instance ID: {instance_id}") + print(f"Backend URL: {backend_url}") + print() + + print("[1/5] Fetching user info...") + user = get_user_info(backend_url, cookies) + user_id = user["github_id"] + print(f" Logged in as: {user['display_name']} (github_id={user_id})") + print() + + # Step 2: Create agents + print("[2/5] Creating proxied agents...") + green_agent = create_agent(backend_url, cookies, green_name, True, user_id) + white_agent = create_agent(backend_url, cookies, white_name, False, user_id) + print() + + # Step 3: Start controllers + print("[3/5] Starting controllers...") + green_port = find_free_port() + white_port = find_free_port() + green_proc = start_controller(green_agent["id"], GREEN_AGENT_DIR, green_port) + white_proc = start_controller(white_agent["id"], WHITE_AGENT_DIR, white_port) + procs.extend([green_proc, white_proc]) + print(" Waiting a few seconds for controllers to initialize...") + time.sleep(5) + print() + + # Step 4: Wait for readiness + print("[4/5] Waiting for agents to be ready...") + green_ready = wait_for_agent_ready(backend_url, cookies, green_agent["id"], green_name) + white_ready = wait_for_agent_ready(backend_url, cookies, white_agent["id"], white_name) + if not (green_ready and white_ready): + print("Error: One or both agents failed to become ready. Aborting.") + cleanup() + sys.exit(1) + print() + + # Step 5: Create assessment + print("[5/5] Creating tau-bench assessment...") + assessment_ids = create_assessment( + backend_url, cookies, green_agent["id"], white_agent["id"], args.repeat_n + ) + print() + + # Report results + frontend_url = backend_url.replace("backend.", "") + first_assessment_id = assessment_ids[0] + results_url = f"{frontend_url}/assessments/{first_assessment_id}" + print("Assessment submitted! View results at:") + print(f" {results_url}") + + # Keep running so controllers stay alive during the assessment + print() + print("Controllers are running. Press Ctrl+C to stop and clean up.") + try: + while True: + # Check if either process has died + for proc in procs: + if proc.poll() is not None: + print(f"Warning: Controller (pid={proc.pid}) exited with code {proc.returncode}") + time.sleep(5) + except KeyboardInterrupt: + pass + finally: + cleanup() + + +if __name__ == "__main__": + main() diff --git a/pyproject.toml b/pyproject.toml index 2f6526c..8db6677 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,5 +1,5 @@ [project] -name = "agentify-example-tau-bench" +name = "agentify-example-tau-bench-proxy" version = "0.1.0" description = "Example code of agentifying tau-bench for the blog `Agentify the Agent Assessment`." readme = "README.md" @@ -7,12 +7,14 @@ requires-python = ">=3.13" dependencies = [ "a2a-sdk[http-server]>=0.3.8", "dotenv>=0.9.9", - "earthshaker>=0.1.12", + "earthshaker>=0.2.0", "pydantic-settings>=2.11.0", + "requests>=2.31.0", "tau-bench", "typer>=0.19.2", "uvicorn>=0.37.0", ] [tool.uv.sources] +earthshaker = { path = "../earthshaker", editable = true } tau-bench = { git = "https://github.com/sierra-research/tau-bench.git" } diff --git a/src/green_agent/agent.py b/src/green_agent/agent.py index 88faf23..0bc4bbc 100644 --- a/src/green_agent/agent.py +++ b/src/green_agent/agent.py @@ -1,11 +1,11 @@ """Green agent implementation - manages assessment and evaluation.""" +import os import uvicorn import tomllib import dotenv import json import time -import os from a2a.server.apps import A2AStarletteApplication from a2a.server.request_handlers import DefaultRequestHandler from a2a.server.agent_execution import AgentExecutor, RequestContext @@ -192,12 +192,8 @@ async def cancel(self, context: RequestContext, event_queue: EventQueue) -> None def start_green_agent(agent_name="tau_green_agent", host="localhost", port=9001): print("Starting green agent...") agent_card_dict = load_agent_card_toml(agent_name) - - # # without controller - # url = f"http://{host}:{port}" - # agent_card_dict["url"] = url # complete all required card fields - - agent_card_dict["url"] = os.getenv("AGENT_URL") + agent_url = os.getenv("AGENT_URL") or f"http://{host}:{port}" + agent_card_dict["url"] = agent_url # complete all required card fields request_handler = DefaultRequestHandler( agent_executor=TauGreenAgentExecutor(), @@ -210,3 +206,8 @@ def start_green_agent(agent_name="tau_green_agent", host="localhost", port=9001) ) uvicorn.run(app.build(), host=host, port=port) + + +if __name__ == "__main__": + port = int(os.getenv("AGENT_PORT", "9001")) + start_green_agent(port=port) diff --git a/src/green_agent/run.sh b/src/green_agent/run.sh new file mode 100755 index 0000000..5eed177 --- /dev/null +++ b/src/green_agent/run.sh @@ -0,0 +1,3 @@ +#!/bin/bash +cd "$(dirname "$0")/../.." +PYTHONPATH=. python src/green_agent/agent.py diff --git a/src/white_agent/agent.py b/src/white_agent/agent.py index 43cdbc8..2aee1b5 100644 --- a/src/white_agent/agent.py +++ b/src/white_agent/agent.py @@ -1,8 +1,8 @@ """White agent implementation - the target agent being tested.""" +import os import uvicorn import dotenv -import os from a2a.server.apps import A2AStarletteApplication from a2a.server.request_handlers import DefaultRequestHandler from a2a.server.agent_execution import AgentExecutor, RequestContext @@ -53,20 +53,12 @@ async def execute(self, context: RequestContext, event_queue: EventQueue) -> Non "content": user_input, } ) - if os.environ.get("LITELLM_PROXY_API_KEY") is not None: - response = completion( - messages=messages, - model="openrouter/openai/gpt-4o", - custom_llm_provider="litellm_proxy", - temperature=0.0, - ) - else: - response = completion( - messages=messages, - model="openai/gpt-4o", - custom_llm_provider="openai", - temperature=0.0, - ) + response = completion( + messages=messages, + model="openai/gpt-4o", + custom_llm_provider="openai", + temperature=0.0, + ) next_message = response.choices[0].message.model_dump() # type: ignore messages.append( { @@ -86,12 +78,8 @@ async def cancel(self, context, event_queue) -> None: def start_white_agent(agent_name="general_white_agent", host="localhost", port=9002): print("Starting white agent...") - - # # # without controller - # url = f"http://{host}:{port}" - # card = prepare_white_agent_card(url) - - card = prepare_white_agent_card(os.getenv("AGENT_URL")) + agent_url = os.getenv("AGENT_URL") or f"http://{host}:{port}" + card = prepare_white_agent_card(agent_url) request_handler = DefaultRequestHandler( agent_executor=GeneralWhiteAgentExecutor(), @@ -104,3 +92,8 @@ def start_white_agent(agent_name="general_white_agent", host="localhost", port=9 ) uvicorn.run(app.build(), host=host, port=port) + + +if __name__ == "__main__": + port = int(os.getenv("AGENT_PORT", "9002")) + start_white_agent(port=port) diff --git a/src/white_agent/run.sh b/src/white_agent/run.sh new file mode 100755 index 0000000..7c9553e --- /dev/null +++ b/src/white_agent/run.sh @@ -0,0 +1,3 @@ +#!/bin/bash +cd "$(dirname "$0")/../.." +PYTHONPATH=. 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100644 index eb7c8b2..0000000 --- a/proxy_test.py +++ /dev/null @@ -1,288 +0,0 @@ -#!/usr/bin/env python3 -""" -Tau Proxy Test Script - -Automates the full proxy agent test flow: -1. Creates green and white proxied agents via the backend API -2. Launches `agentbeats run_ctrl` for each agent -3. Waits for both agents to be ready -4. Creates a tau-bench assessment -5. Opens the frontend to view results - -Usage: - export AB_API_KEY="your-api-key-here" - python proxy_test.py [--backend-url https://backend.evansandoval.org] - -The AB_API_KEY is the cookie value from your browser session after logging in -via GitHub OAuth. You can find it in your browser's developer tools under -Application > Cookies > ab_api_key. -""" - -import argparse -import os -import signal -import socket -import subprocess -import sys -import time -import uuid - -import requests - -SCRIPT_DIR = os.path.dirname(os.path.abspath(__file__)) -GREEN_AGENT_DIR = os.path.join(SCRIPT_DIR, "src", "green_agent") -WHITE_AGENT_DIR = os.path.join(SCRIPT_DIR, "src", "white_agent") - -CHECK_READY_TIMEOUT = 90 # seconds -CHECK_READY_INTERVAL = 3 # seconds - - -def parse_args(): - parser = argparse.ArgumentParser(description="Run tau-bench proxy agent test") - parser.add_argument( - "--backend-url", - default=os.environ.get("AB_BACKEND_URL", "https://backend.evansandoval.org"), - help="Backend API URL (default: https://backend.evansandoval.org)", - ) - parser.add_argument( - "--repeat-n", - type=int, - default=1, - help="Number of assessment repetitions (default: 1)", - ) - parser.add_argument( - "--no-browser", - action="store_true", - help="Don't open the frontend in a browser", - ) - return parser.parse_args() - - -def get_api_key(): - api_key = os.environ.get("AB_API_KEY") - if not api_key: - print("Error: AB_API_KEY environment variable is required.") - print("Set it to your ab_api_key cookie value from the browser after logging in.") - sys.exit(1) - return api_key - - -def get_user_info(backend_url, cookies): - """Fetch the current user's info to get github_id.""" - resp = requests.get(f"{backend_url}/user", cookies=cookies) - if resp.status_code != 200: - print(f"Error: Failed to fetch user info: {resp.status_code} {resp.text}") - sys.exit(1) - return resp.json() - - -def create_agent(backend_url, cookies, name, is_green, user_id): - """Create a proxied agent via the backend API.""" - payload = { - "name": name, - "is_green": is_green, - "deploy_type": "proxied", - "secret": "", - "inject_litellm_proxy_api": False, - "ctrl_url": None, - "git_url": None, - "git_branch": None, - "docker_image_url": None, - "description_prompt": None, - "user_id": user_id, - } - resp = requests.post(f"{backend_url}/agents/", json=payload, cookies=cookies) - if resp.status_code != 200: - print(f"Error: Failed to create agent '{name}': {resp.status_code} {resp.text}") - sys.exit(1) - agent = resp.json() - print(f" Created agent '{name}' -> id={agent['id']}") - return agent - - -def find_free_port(): - """Find a free port by briefly binding to port 0.""" - with socket.socket(socket.AF_INET, socket.SOCK_STREAM) as s: - s.bind(("", 0)) - return s.getsockname()[1] - - -def start_controller(agent_id, agent_dir, ctrl_port): - """Launch `agentbeats run_ctrl --proxy-agent-id=` in the given directory.""" - cmd = ["agentbeats", "run_ctrl", f"--proxy-agent-id={agent_id}"] - api_key = os.environ.get("AB_API_KEY", "") - env = {**os.environ, "PORT": str(ctrl_port), "AB_API_KEY": api_key} - print(f" Starting controller in {os.path.basename(agent_dir)}/ (ctrl port {ctrl_port}): {' '.join(cmd)}") - proc = subprocess.Popen(cmd, cwd=agent_dir, env=env) - return proc - - -def wait_for_agent_ready(backend_url, cookies, agent_id, agent_name, timeout=CHECK_READY_TIMEOUT): - """Poll the most_recent_check endpoint until the agent is ready, triggering new checks as needed.""" - start = time.time() - while time.time() - start < timeout: - try: - # Trigger a fresh check - requests.get(f"{backend_url}/agents/{agent_id}/check_again", cookies=cookies) - - # Wait a moment for the check to complete - time.sleep(CHECK_READY_INTERVAL) - - resp = requests.get( - f"{backend_url}/agents/{agent_id}/most_recent_check", - cookies=cookies, - ) - if resp.status_code == 200: - check = resp.json() - reachable = check.get("is_ctrl_reachable") - agent_count = check.get("agent_count") - if reachable and agent_count and agent_count >= 1: - print(f" {agent_name} is ready (ctrl reachable, {agent_count} agent(s))") - return True - else: - status = f"reachable={reachable}, agents={agent_count}" - print(f" {agent_name} not ready yet ({status}), triggering new check...") - elif resp.status_code == 404: - print(f" {agent_name} has no checks yet, triggering new check...") - else: - print(f" {agent_name} check returned {resp.status_code}, retrying...") - except requests.RequestException as e: - print(f" {agent_name} check request failed: {e}, retrying...") - time.sleep(CHECK_READY_INTERVAL) - - print(f"Error: {agent_name} did not become ready within {timeout}s") - return False - - -def create_assessment(backend_url, cookies, green_agent_id, white_agent_id, repeat_n): - """Create a tau-bench assessment.""" - payload = { - "agents": [green_agent_id, white_agent_id], - "config": "tau-bench", - "repeat_n": repeat_n, - } - resp = requests.post(f"{backend_url}/assessments/", json=payload, cookies=cookies) - if resp.status_code != 200: - print(f"Error: Failed to create assessment: {resp.status_code} {resp.text}") - sys.exit(1) - assessment_ids = resp.json() - print(f" Created {len(assessment_ids)} assessment(s): {assessment_ids}") - return assessment_ids - - -def delete_agent(backend_url, cookies, agent_id, agent_name): - """Delete an agent from the backend.""" - try: - resp = requests.delete(f"{backend_url}/agents/{agent_id}", cookies=cookies) - if resp.status_code == 200: - print(f" Deleted agent '{agent_name}' ({agent_id})") - else: - print(f" Warning: Failed to delete agent '{agent_name}': {resp.status_code}") - except requests.RequestException: - print(f" Warning: Could not reach backend to delete agent '{agent_name}'") - - -def main(): - args = parse_args() - api_key = get_api_key() - cookies = {"ab_api_key": api_key} - backend_url = args.backend_url.rstrip("/") - - instance_id = uuid.uuid4().hex[:8] - green_name = f"tau-green-{instance_id}" - white_name = f"tau-white-{instance_id}" - - procs = [] - green_agent = None - white_agent = None - - def cleanup(signum=None, _frame=None): - print("\nCleaning up...") - for proc in procs: - if proc.poll() is None: - print(f" Terminating controller (pid={proc.pid})") - proc.terminate() - try: - proc.wait(timeout=5) - except subprocess.TimeoutExpired: - proc.kill() - if green_agent: - delete_agent(backend_url, cookies, green_agent["id"], green_name) - if white_agent: - delete_agent(backend_url, cookies, white_agent["id"], white_name) - if signum is not None: - sys.exit(1) - - signal.signal(signal.SIGINT, cleanup) - signal.signal(signal.SIGTERM, cleanup) - - # Step 1: Get user info - print(f"Instance ID: {instance_id}") - print(f"Backend URL: {backend_url}") - print() - - print("[1/5] Fetching user info...") - user = get_user_info(backend_url, cookies) - user_id = user["github_id"] - print(f" Logged in as: {user['display_name']} (github_id={user_id})") - print() - - # Step 2: Create agents - print("[2/5] Creating proxied agents...") - green_agent = create_agent(backend_url, cookies, green_name, True, user_id) - white_agent = create_agent(backend_url, cookies, white_name, False, user_id) - print() - - # Step 3: Start controllers - print("[3/5] Starting controllers...") - green_port = find_free_port() - white_port = find_free_port() - green_proc = start_controller(green_agent["id"], GREEN_AGENT_DIR, green_port) - white_proc = start_controller(white_agent["id"], WHITE_AGENT_DIR, white_port) - procs.extend([green_proc, white_proc]) - print(" Waiting a few seconds for controllers to initialize...") - time.sleep(5) - print() - - # Step 4: Wait for readiness - print("[4/5] Waiting for agents to be ready...") - green_ready = wait_for_agent_ready(backend_url, cookies, green_agent["id"], green_name) - white_ready = wait_for_agent_ready(backend_url, cookies, white_agent["id"], white_name) - if not (green_ready and white_ready): - print("Error: One or both agents failed to become ready. Aborting.") - cleanup() - sys.exit(1) - print() - - # Step 5: Create assessment - print("[5/5] Creating tau-bench assessment...") - assessment_ids = create_assessment( - backend_url, cookies, green_agent["id"], white_agent["id"], args.repeat_n - ) - print() - - # Report results - frontend_url = backend_url.replace("backend.", "") - first_assessment_id = assessment_ids[0] - results_url = f"{frontend_url}/assessments/{first_assessment_id}" - print("Assessment submitted! View results at:") - print(f" {results_url}") - - # Keep running so controllers stay alive during the assessment - print() - print("Controllers are running. Press Ctrl+C to stop and clean up.") - try: - while True: - # Check if either process has died - for proc in procs: - if proc.poll() is not None: - print(f"Warning: Controller (pid={proc.pid}) exited with code {proc.returncode}") - time.sleep(5) - except KeyboardInterrupt: - pass - finally: - cleanup() - - -if __name__ == "__main__": - main() From c1c3caec55b085f18dd9faa0486422ffa48484c7 Mon Sep 17 00:00:00 2001 From: Evan Sandoval Date: Mon, 23 Feb 2026 14:35:13 -0800 Subject: [PATCH 3/3] sync with existing branch --- src/green_agent/agent.py | 15 +++++++-------- src/white_agent/agent.py | 10 +++++++--- 2 files changed, 14 insertions(+), 11 deletions(-) diff --git a/src/green_agent/agent.py b/src/green_agent/agent.py index 0bc4bbc..88faf23 100644 --- a/src/green_agent/agent.py +++ b/src/green_agent/agent.py @@ -1,11 +1,11 @@ """Green agent implementation - manages assessment and evaluation.""" -import os import uvicorn import tomllib import dotenv import json import time +import os from a2a.server.apps import A2AStarletteApplication from a2a.server.request_handlers import DefaultRequestHandler from a2a.server.agent_execution import AgentExecutor, RequestContext @@ -192,8 +192,12 @@ async def cancel(self, context: RequestContext, event_queue: EventQueue) -> None def start_green_agent(agent_name="tau_green_agent", host="localhost", port=9001): print("Starting green agent...") agent_card_dict = load_agent_card_toml(agent_name) - agent_url = os.getenv("AGENT_URL") or f"http://{host}:{port}" - agent_card_dict["url"] = agent_url # complete all required card fields + + # # without controller + # url = f"http://{host}:{port}" + # agent_card_dict["url"] = url # complete all required card fields + + agent_card_dict["url"] = os.getenv("AGENT_URL") request_handler = DefaultRequestHandler( agent_executor=TauGreenAgentExecutor(), @@ -206,8 +210,3 @@ def start_green_agent(agent_name="tau_green_agent", host="localhost", port=9001) ) uvicorn.run(app.build(), host=host, port=port) - - -if __name__ == "__main__": - port = int(os.getenv("AGENT_PORT", "9001")) - start_green_agent(port=port) diff --git a/src/white_agent/agent.py b/src/white_agent/agent.py index 2aee1b5..533d3cb 100644 --- a/src/white_agent/agent.py +++ b/src/white_agent/agent.py @@ -1,8 +1,8 @@ """White agent implementation - the target agent being tested.""" -import os import uvicorn import dotenv +import os from a2a.server.apps import A2AStarletteApplication from a2a.server.request_handlers import DefaultRequestHandler from a2a.server.agent_execution import AgentExecutor, RequestContext @@ -78,8 +78,12 @@ async def cancel(self, context, event_queue) -> None: def start_white_agent(agent_name="general_white_agent", host="localhost", port=9002): print("Starting white agent...") - agent_url = os.getenv("AGENT_URL") or f"http://{host}:{port}" - card = prepare_white_agent_card(agent_url) + + # # # without controller + # url = f"http://{host}:{port}" + # card = prepare_white_agent_card(url) + + card = prepare_white_agent_card(os.getenv("AGENT_URL")) request_handler = DefaultRequestHandler( agent_executor=GeneralWhiteAgentExecutor(),