diff --git a/openai_agents_058/.env.example b/openai_agents_058/.env.example new file mode 100644 index 0000000..81078c1 --- /dev/null +++ b/openai_agents_058/.env.example @@ -0,0 +1 @@ +OPENAI_API_KEY=sk-proj-your-key-here diff --git a/openai_agents_058/01_hosted_sandbox.py b/openai_agents_058/01_hosted_sandbox.py new file mode 100644 index 0000000..71cf30c --- /dev/null +++ b/openai_agents_058/01_hosted_sandbox.py @@ -0,0 +1,29 @@ +"""Demo 1: the harness as an API. + +One call creates an agent, a sandbox, and a session, then streams the agent +writing a script, running it, and reporting the real output. OpenAI runs the +loop. You never see a tool-call round trip. +""" + +from common import MODEL, Printer, make_client + +client = make_client() +printer = Printer() + +with client.beta.agents.sessions.create( + agent={ + "model": MODEL, + "instructions": "Write clean code, run it, and report the actual output. Be brief.", + }, + environment={"type": "openai_hosted"}, + input=( + "Create primes.py that prints the first 10 prime numbers and their sum. " + "Run it and show me the output." + ), + stream=True, +) as events: + for event in events: + if printer.handle(event): + break + +print("\nsession id:", printer.session_id) diff --git a/openai_agents_058/02_function_tools.py b/openai_agents_058/02_function_tools.py new file mode 100644 index 0000000..5675b82 --- /dev/null +++ b/openai_agents_058/02_function_tools.py @@ -0,0 +1,85 @@ +"""Demo 2: your tools, your session. + +The agent calls a function you own. When it needs a result the session emits +requires_action; you run the function and post the result back. Then a second +message continues the SAME session, so the agent still knows the earlier answer. + +No sandbox here (environment type "none"), so this is the cheapest way to run +the harness: tokens only, no container. +""" + +import json + +from common import MODEL, Printer, make_client + +client = make_client() + +TOOLS = [ + { + "type": "function", + "name": "lookup_member", + "description": "Look up a Skool community member by email.", + "parameters": { + "type": "object", + "properties": {"email": {"type": "string"}}, + "required": ["email"], + "additionalProperties": False, + }, + } +] + +MEMBERS = { + "sam@example.com": {"name": "Sam Rivera", "plan": "pro", "joined": "2026-03-02", "last_seen_days": 41}, +} + + +def lookup_member(args: dict) -> dict: + member = MEMBERS.get(args["email"]) + return {"found": member is not None, "member": member} + + +# Turn 1: create the session with the first task and handle the tool call by hand. +printer = Printer() +with client.beta.agents.sessions.create( + agent={ + "model": MODEL, + "instructions": "You are a CRM assistant. Use lookup_member for member questions. Be brief.", + "tools": TOOLS, + }, + environment={"type": "none"}, + input="Is sam@example.com at risk of churning?", + stream=True, +) as events: + for event in events: + if event.type == "agent.session.requires_action": + for action in event.session.required_actions: + if action.type == "function_call" and action.name == "lookup_member": + result = lookup_member(action.arguments) + client.beta.agents.sessions.events.create( + event.session.id, + events=[{ + "type": "agent.session.input.tool_result", + "turn_id": action.turn_id, + "call_id": action.call_id, + "success": True, + "output": json.dumps(result), + }], + ) + if printer.handle(event): + break + +session_id = printer.session_id + +# Turn 2: same session, so the agent remembers Sam. The stream helper runs the +# tool handler for us this time. +print("\n--- follow-up on the same session ---") +printer = Printer() +with client.beta.agents.sessions.stream( + session_id, + input="Draft a two-sentence check-in message to them.", + tool_handlers={"lookup_member": lookup_member}, +) as stream: + for event in stream: + printer.handle(event) + +print("\nsession id:", session_id) diff --git a/openai_agents_058/03_subagents.py b/openai_agents_058/03_subagents.py new file mode 100644 index 0000000..c80426d --- /dev/null +++ b/openai_agents_058/03_subagents.py @@ -0,0 +1,36 @@ +"""Demo 3: subagents, one flag. + +Turn on multi_agent and the harness can split a task across subagents that run +in parallel inside the same sandbox. You watch them get created and closed in +the event stream. No orchestration code on your side. +""" + +from common import MODEL, Printer, make_client + +client = make_client() +printer = Printer() + +with client.beta.agents.sessions.create( + agent={ + "model": MODEL, + "instructions": ( + "You lead a small team. For multi-part tasks, delegate each part to a " + "subagent, run them in parallel, then combine the results into one short answer." + ), + "multi_agent": {"enabled": True, "max_concurrent_subagents": 3}, + }, + environment={"type": "openai_hosted"}, + input=( + "Three independent jobs, one subagent each: " + "(1) write fib.py that prints the 20th Fibonacci number and run it; " + "(2) write words.py that counts the words in the sentence 'the quick brown fox jumps over the lazy dog' and run it; " + "(3) write pi.py that prints pi to 8 decimal places using only the math module and run it. " + "Report the three outputs in one line each." + ), + stream=True, +) as events: + for event in events: + if printer.handle(event): + break + +print("\nsession id:", printer.session_id) diff --git a/openai_agents_058/README.md b/openai_agents_058/README.md new file mode 100644 index 0000000..fa20c7e --- /dev/null +++ b/openai_agents_058/README.md @@ -0,0 +1,115 @@ +# OpenAI Agents API demo (video 058) + +Three small scripts against the OpenAI Agents API (public beta, launched 2026-09-10). The API exposes the Codex harness as a managed service: OpenAI runs the agent loop, the sandbox, context compaction, and subagents. You send input and read events. + +Each script is under 80 lines and meant to be read top to bottom on screen. + +## What is in this folder + +| File | Section | What it does | Read it when | +|---|---|---|---| +| `common.py` | Setup | Loads `.env`, builds the `OpenAI` client, sets `MODEL`. `Printer` turns the ~30 event types into a short timestamped transcript. | You want to change the model or print more event types. | +| `01_hosted_sandbox.py` | Demo 1 | One `sessions.create(stream=True)` call: agent + hosted sandbox + session. The agent writes and runs a Python script, reports real output. | First run. Proves the API works and shows sandbox provisioning time. | +| `02_function_tools.py` | Demo 2 | Your own function tool with `environment: none`. Turn 1 handles `requires_action` by hand; turn 2 uses `sessions.stream` with `tool_handlers` on the same session. | You want the agent to call your code, and want to see session memory across turns. | +| `03_subagents.py` | Demo 3 | `multi_agent.enabled` on a hosted sandbox. The harness spawns parallel subagents; you watch them in the event stream. | You want fan-out without writing an orchestrator. | +| `pyproject.toml`, `uv.lock` | Deps | `openai>=3.14`, `python-dotenv`. Python 3.11+. | Installing. | +| `.env.example` | Secrets | Template for `OPENAI_API_KEY`. Copy to `.env`, never commit `.env`. | Before the first run. | +| `CLAUDE.md` | Agent notes | Conventions for Claude Code or Hermes extending this folder. | You ask an agent to add a demo. | + +Sections below: [Install](#install), [Run](#run), [Env vars](#env-vars), [What to expect](#what-to-expect-when-you-run-it), [On camera](#things-worth-saying-on-camera), [Docs](#docs). + +| Script | What it shows | Sandbox | Cost on top of tokens | +|---|---|---|---| +| `01_hosted_sandbox.py` | One call creates an agent, a sandbox, and a session. The agent writes a script, runs it, reports the real output. | `openai_hosted` | Container rate (1 GB sandbox is $0.03 per 20 min, 5 min minimum) | +| `02_function_tools.py` | Your own function tool. Handle `requires_action` by hand on turn 1, then let `sessions.stream` run the handler on turn 2. Same session, so the agent remembers turn 1. | `none` | Nothing | +| `03_subagents.py` | One flag, `multi_agent.enabled`, and the harness spawns subagents in parallel inside one sandbox. You watch them appear in the event stream. | `openai_hosted` | Container rate | + +`common.py` holds the client setup and a small event printer. The harness streams around 30 event types; the printer keeps commands, tool calls, messages, subagents, and the turn end. + +## Install + +Requires Python 3.11 or newer and an OpenAI API key with `api.agents.read`, `api.agents.write`, and `api.responses.write` scopes (a normal project key has all three). + +With uv: + +```bash +cd openai_agents_058 +cp .env.example .env # then paste your key into .env +uv sync +``` + +With pip: + +```bash +cd openai_agents_058 +cp .env.example .env # then paste your key into .env +python -m venv .venv && source .venv/bin/activate +pip install "openai>=3.14" python-dotenv +``` + +## Run + +```bash +uv run python 01_hosted_sandbox.py +uv run python 02_function_tools.py +uv run python 03_subagents.py +``` + +Or with the pip venv active, `python 01_hosted_sandbox.py` and so on. + +## Env vars + +| Var | Where | Notes | +|---|---|---| +| `OPENAI_API_KEY` | `.env` in this folder | Loaded by `python-dotenv` in `common.py`. `.env` is gitignored at the repo root. Never commit it. | + +Model is `gpt-6-astra`, set once in `common.py`. + +## What to expect when you run it + +Each script prints a timestamped transcript built by `Printer` in `common.py`. Lines you will see, in order: + +### 01_hosted_sandbox.py + +1. `session sess_... env: openai_hosted` within a few seconds. +2. A `commentary:` line where the agent says what it is about to do. +3. `READY environment` then `CONNECTED environment`. Sandbox provisioning takes roughly 20 to 30 seconds. This is the part worth pointing at on camera. +4. One or more `$ /bin/bash -lc ...` lines. The agent usually looks for `AGENTS.md` first, the same habit Codex has locally, then runs `python3 /workspace/outputs/primes.py`. +5. `final_answer:` with the script's output: the first 10 primes (2 through 29) and their sum, 129. +6. `turn done.` and the session id. Expect about a minute end to end. + +### 02_function_tools.py + +1. `session sess_... env: none` almost immediately. No sandbox, no container charge. +2. `tool call: lookup_member {'email': 'sam@example.com'}`. That is the `requires_action` branch in the script firing and posting the result back. +3. `final_answer:` saying Sam is a churn risk (41 days inactive, Pro plan). +4. `--- follow-up on the same session ---`, then a `final_answer:` with a short check-in message. No second tool call: the session already holds Sam's record from turn 1. That is the point of the demo. +5. Both turns together take about 40 seconds. + +### 03_subagents.py + +1. `session sess_... env: openai_hosted`, then the environment `READY` and `CONNECTED` lines as in demo 1. +2. Three `subagent created: ` lines. The harness names its subagents itself. +3. `final_answer:` with one line per job: the 20th Fibonacci number (6765), the word count (9), and pi to 8 places (3.14159265). +4. `turn done.` Expect about a minute. + +Subagent shell commands run on the subagents' own turns and do not appear on the root stream. List them with `client.beta.agents.sessions.subagents.items.list(...)` if you want them on screen. + +`turn.usage` may come back `None` on completed turns, so the `turn done.` line does not always carry token counts. Use the pricing page for cost numbers. + +## Things worth saying on camera + +- `environment: {"type": "none"}` needs `input` at create time. The API returns `conversation-only sessions currently require initial input` without it. Hosted sandboxes can be created idle. +- `sessions.create(stream=True)` is the one-call path. `sessions.stream(session_id, input=..., tool_handlers=...)` is the follow-up path and it runs your tool handlers for you. Demo 2 shows both. +- Sessions with a hosted sandbox are deleted after keep-alives stop for an hour. Store the session id if you want to come back. +- US-only data residency, no Zero Data Retention, even self-hosted. Check before pointing this at customer data. +- Self-hosting the sandbox is `npm install -g @openai/codex@alpha` then `codex exec-server --remote --environment-id ` with a separate restricted environment key. Not in these scripts; it needs the key from the dashboard Agents tab. + +## Docs + +- https://developers.openai.com/api/docs/guides/agents-api/overview +- https://developers.openai.com/api/docs/guides/agents-api/quickstart +- https://developers.openai.com/api/docs/guides/agents-api/tools/functions +- https://developers.openai.com/api/docs/guides/agents-api/sessions/events +- https://developers.openai.com/api/docs/guides/agents-api/environments/self-hosted +- https://developers.openai.com/api/docs/pricing (Containers row) diff --git a/openai_agents_058/common.py b/openai_agents_058/common.py new file mode 100644 index 0000000..fdfb0f6 --- /dev/null +++ b/openai_agents_058/common.py @@ -0,0 +1,77 @@ +"""Shared helpers for the 058 demos. Keeps each demo file short enough to read on camera.""" + +import os +import sys +import time + +from dotenv import load_dotenv +from openai import OpenAI + +MODEL = "gpt-6-astra" + + +def make_client() -> OpenAI: + load_dotenv() + if not os.environ.get("OPENAI_API_KEY"): + sys.exit("OPENAI_API_KEY is not set. Copy .env.example to .env and add your key.") + return OpenAI() + + +class Printer: + """Turns the raw event stream into a readable transcript. + + The harness emits ~30 event types. On screen we only care about: + commands the agent ran, text it produced, tool calls, subagents, and the turn ending. + """ + + def __init__(self) -> None: + self.t0 = time.time() + self.session_id: str | None = None + self.final_text = "" + + def _stamp(self) -> str: + return f"[{time.time() - self.t0:5.1f}s]" + + def handle(self, ev) -> bool: + """Print one event. Returns True when the root turn is finished.""" + t = ev.type + + if t == "agent.session.created": + self.session_id = ev.session.id + print(self._stamp(), "session", self.session_id, "env:", ev.session.environment.type) + + elif t.startswith("agent.session.environment."): + print(self._stamp(), t.rsplit(".", 1)[-1].upper(), "environment") + + elif t == "agent.session.turn.item.added" and ev.item.type == "command_execution": + print(self._stamp(), "$", ev.item.command) + + elif t == "agent.session.turn.item.added" and ev.item.type == "function_call": + print(self._stamp(), "tool call:", ev.item.name, ev.item.arguments) + + elif t == "agent.session.turn.item.done" and ev.item.type == "message": + text = "".join(c.text for c in ev.item.content if c.type == "output_text") + label = ev.item.phase or "message" + print(self._stamp(), f"{label}:", text.strip()) + if ev.item.phase == "final_answer": + self.final_text = text + + elif t == "agent.session.subagent.created": + print(self._stamp(), "subagent created:", ev.subagent.name or ev.subagent.id) + + elif t == "agent.session.subagent.closed": + print(self._stamp(), "subagent closed:", ev.subagent.name or ev.subagent.id) + + elif t == "agent.session.turn.completed" and ev.turn.subagent_id is None: + u = ev.turn.usage + if u: + print(self._stamp(), f"turn done. tokens in={u.input_tokens} out={u.output_tokens}") + else: + print(self._stamp(), "turn done.") + return True + + elif t in ("agent.session.turn.failed", "agent.session.failed", "error"): + print(self._stamp(), "FAILED:", ev.to_json(indent=None)[:500]) + return True + + return False diff --git a/openai_agents_058/pyproject.toml b/openai_agents_058/pyproject.toml new file mode 100644 index 0000000..5a8c490 --- /dev/null +++ b/openai_agents_058/pyproject.toml @@ -0,0 +1,9 @@ +[project] +name = "openai-agents-058" +version = "0.1.0" +description = "Video 058: OpenAI Agents API demos (hosted sandbox, function tools, subagents)" +requires-python = ">=3.11" +dependencies = 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