diff --git a/README.md b/README.md index 30e29ac5..efa93cfd 100644 --- a/README.md +++ b/README.md @@ -36,7 +36,7 @@ async def contact_mothership(query: str) -> str: async def main() -> None: - model = ai.get_model("gateway:anthropic/claude-sonnet-4") + model = ai.get_model("anthropic/claude-sonnet-4") agent = ai.agent(tools=[contact_mothership]) messages = [ @@ -155,10 +155,17 @@ ai.resolve_hook("approve_send_email", {"granted": True, "reason": "approved"}) ## Examples -Focused samples live in `examples/`. +Focused samples live in category directories under `examples/`. + +- `examples/agents/` - agent loops, tools, hooks, and MCP +- `examples/media/` - image, video, and multimodal input/output +- `examples/models/` - streaming, structured output, and provider examples +- `examples/apps/` - end-to-end demos End-to-end demos: -- `examples/fastapi-vite/` - FastAPI + React chat with tool approval -- `examples/multiagent-textual/` - parallel agents with terminal hook resolution -- `examples/temporal-direct/` - durable agent with a custom loop +- `examples/apps/web_agent/` - FastAPI + React chat with tool approval +- `examples/apps/coding_agent/` - coding agent +- `examples/apps/durable_agent_temporal/` - durable agent with Temporal +- `examples/apps/durable_agent_workflows/` - durable agent with Workflows +- `examples/apps/slack_agent/` - Slack agent diff --git a/docs/ai-python/content/docs/basics/index.mdx b/docs/ai-python/content/docs/basics/index.mdx index 82a8d4bd..f56a51e4 100644 --- a/docs/ai-python/content/docs/basics/index.mdx +++ b/docs/ai-python/content/docs/basics/index.mdx @@ -38,16 +38,17 @@ needs those control points. ## Example map -Focused samples live in `examples/`: +Focused samples live in category directories under `examples/`: -- `stream.py` streams text from a model. -- `tools_schema.py` passes a schema-only tool to a model. -- `agent_simple.py` runs the default agent loop. -- `agent_custom_loop.py` overrides `Agent.loop`. -- `streaming_tool.py` streams partial output from a tool. -- `agent_nested.py` runs a subagent as a tool. +- `examples/models/stream.py` streams text from a model. +- `examples/agents/basic.py` runs the default agent loop. +- `examples/agents/custom_loop.py` overrides `Agent.loop`. +- `examples/agents/streaming_tool.py` streams partial output from a tool. +- `examples/agents/subagent.py` runs a subagent as a tool. End-to-end demos live in -[`examples/fastapi-vite`](https://github.com/vercel-labs/ai-python/tree/main/examples/fastapi-vite), -[`examples/multiagent-textual`](https://github.com/vercel-labs/ai-python/tree/main/examples/multiagent-textual), -and [`examples/temporal-direct`](https://github.com/vercel-labs/ai-python/tree/main/examples/temporal-direct). +[`examples/apps/web_agent`](https://github.com/vercel-labs/ai-python/tree/main/examples/apps/web_agent), +[`examples/apps/coding_agent`](https://github.com/vercel-labs/ai-python/tree/main/examples/apps/coding_agent), +[`examples/apps/durable_agent_temporal`](https://github.com/vercel-labs/ai-python/tree/main/examples/apps/durable_agent_temporal), +[`examples/apps/durable_agent_workflows`](https://github.com/vercel-labs/ai-python/tree/main/examples/apps/durable_agent_workflows), +and [`examples/apps/slack_agent`](https://github.com/vercel-labs/ai-python/tree/main/examples/apps/slack_agent). diff --git a/docs/ai-python/content/docs/index.mdx b/docs/ai-python/content/docs/index.mdx index 07f1c717..243cb585 100644 --- a/docs/ai-python/content/docs/index.mdx +++ b/docs/ai-python/content/docs/index.mdx @@ -109,12 +109,17 @@ After iteration, `s.message`, `s.text`, `s.tool_calls`, `s.output`, and - **Core concepts**: Learn the primitives that shape the SDK. - **Streaming**: Stream model responses and inspect events. - **Agents**: Add tools, customize the loop, and handle approvals. -- **Samples**: Focused, single-file examples live in +- **Samples**: Focused, single-file examples live in the `agents`, `media`, + and `models` directories under [`examples/`](https://github.com/vercel-labs/ai-python/tree/main/examples). - **End-to-end demos**: - [`fastapi-vite`](https://github.com/vercel-labs/ai-python/tree/main/examples/fastapi-vite) + [`web_agent`](https://github.com/vercel-labs/ai-python/tree/main/examples/apps/web_agent) (web chat with human-in-the-loop approval), - [`multiagent-textual`](https://github.com/vercel-labs/ai-python/tree/main/examples/multiagent-textual) - (parallel agents with a terminal UI), - [`temporal-direct`](https://github.com/vercel-labs/ai-python/tree/main/examples/temporal-direct) - (durable agent runs). + [`coding_agent`](https://github.com/vercel-labs/ai-python/tree/main/examples/apps/coding_agent) + (coding agent), + [`durable_agent_temporal`](https://github.com/vercel-labs/ai-python/tree/main/examples/apps/durable_agent_temporal) + (durable agent runs with Temporal), + [`durable_agent_workflows`](https://github.com/vercel-labs/ai-python/tree/main/examples/apps/durable_agent_workflows) + (durable agent runs with Workflows), and + [`slack_agent`](https://github.com/vercel-labs/ai-python/tree/main/examples/apps/slack_agent) + (Slack agent). diff --git a/examples/.test_scripts/check-examples.py b/examples/.test_scripts/check-examples.py index 1e7e4d2c..893f88c2 100755 --- a/examples/.test_scripts/check-examples.py +++ b/examples/.test_scripts/check-examples.py @@ -12,28 +12,44 @@ REPO = Path(__file__).resolve().parent.parent.parent MYPY_VERSION = "mypy>=1.11" +_EXAMPLES_DIR = REPO / "examples" -_SAMPLE_FILES = sorted(p.name for p in (REPO / "examples").glob("*.py")) +_SAMPLE_FILES = sorted( + str(p.relative_to(_EXAMPLES_DIR)) + for p in _EXAMPLES_DIR.rglob("*.py") + if ".test_scripts" not in p.parts + and p.relative_to(_EXAMPLES_DIR).parts[:1] != ("apps",) +) # Each entry: (display name, directory to check, extra --with deps, targets) EXAMPLES: list[tuple[str, Path, list[str], list[str]]] = [ - ("samples", REPO / "examples", [], _SAMPLE_FILES), + ("samples", _EXAMPLES_DIR, [], _SAMPLE_FILES), ( - "fastapi-vite/backend", - REPO / "examples" / "fastapi-vite" / "backend", + "web_agent/backend", + _EXAMPLES_DIR / "apps" / "web_agent" / "backend", ["fastapi"], ["."], ), ( - "multiagent-textual", - REPO / "examples" / "multiagent-textual", - ["fastapi", "textual", "websockets"], + "durable_agent_temporal", + _EXAMPLES_DIR / "apps" / "durable_agent_temporal", + ["temporalio"], ["."], ), ( - "temporal-direct", - REPO / "examples" / "temporal-direct", - ["temporalio"], + "durable_agent_workflows/backend", + _EXAMPLES_DIR / "apps" / "durable_agent_workflows" / "backend", + [ + "fastapi", + "vercel @ git+https://github.com/vercel/vercel-py@47d881242e35b18dcbc7d58b7018e1188894f332", + "vercel-workers>=0.0.22", + ], + ["."], + ), + ( + "slack_agent", + _EXAMPLES_DIR / "apps" / "slack_agent", + ["slack-bolt>=1.29", "aiohttp"], ["."], ), ] diff --git a/examples/.test_scripts/run-examples.py b/examples/.test_scripts/run-examples.py index 1ec3932b..b5afb081 100755 --- a/examples/.test_scripts/run-examples.py +++ b/examples/.test_scripts/run-examples.py @@ -8,7 +8,7 @@ uv run examples/.test_scripts/run-examples.py --e2e # also e2e test scripts uv run examples/.test_scripts/run-examples.py --all # everything uv run examples/.test_scripts/run-examples.py --parallel # in parallel - uv run examples/.test_scripts/run-examples.py stream.py tools_schema.py + uv run examples/.test_scripts/run-examples.py models/stream.py # run selected example files uv run examples/.test_scripts/run-examples.py --model MODEL # patch ai.get_model() to use the given model for every sample @@ -40,87 +40,58 @@ class Sample: TEXT_SAMPLES = [ - Sample("stream.py"), - Sample("stream_all.py"), - Sample("tools_schema.py"), - Sample("agent_simple.py"), - Sample("agent_custom_loop.py"), - Sample("agent_nested.py"), - Sample("streaming_tool.py"), - Sample("openai_chat_completions.py"), - Sample("explicit_client.py"), - Sample("multimodal_input.py"), - Sample("check_connection.py"), - Sample("agent_hooks.py", stdin="y\n"), - Sample("agent_hooks_inline.py", stdin="y\n"), - Sample("agent_hooks_serverless.py"), - Sample("mcp_tools.py"), - Sample("builtin_web_search.py"), + Sample("models/stream.py"), + Sample("models/gateway/stream.py"), + Sample("models/anthropic/stream.py"), + Sample("models/openai/stream.py"), + Sample("agents/basic.py"), + Sample("agents/custom_loop.py"), + Sample("agents/subagent.py"), + Sample("agents/streaming_tool.py"), + Sample("models/openai/openai_chat_completions.py"), + Sample("models/openai/explicit_client.py"), + Sample("media/multimodal_input.py"), + Sample("models/check_connection.py"), + Sample("agents/tool_approval.py"), + Sample("agents/custom_hook.py"), + Sample("agents/mcp_tools.py"), + Sample("models/anthropic/builtin_web_search.py"), + Sample("models/structured_output.py"), ] IMAGE_SAMPLES = [ - Sample("image_generation.py"), - Sample("image_edit.py"), - Sample("inline_image.py"), + Sample("media/image_generation.py"), + Sample("media/image_edit.py"), + Sample("media/inline_image.py"), ] VIDEO_SAMPLES = [ - Sample("video_generation.py"), + Sample("media/video_generation.py"), ] -BROKEN_SAMPLES = [ - Sample("structured_output.py"), -] +BROKEN_SAMPLES: list[Sample] = [] # E2E tests pick non-default ports so they don't collide with a running # dev server on 8000/5173. Each test gets its own ports so that --parallel # doesn't make them collide with each other either. -_MULTIAGENT_SERVER_PORT = "18000" -_FASTAPI_BACKEND_PORT = "18001" -_FASTAPI_FRONTEND_PORT = "15173" +_WEB_AGENT_BACKEND_PORT = "18001" +_WEB_AGENT_FRONTEND_PORT = "15173" E2E_TESTS = [ Sample( - "multiagent-textual/test-e2e.py", - cmd=[ - "uv", - "run", - "--frozen", - "--with-editable", - str(REPO), - "python", - str(REPO / "examples" / "multiagent-textual" / "test-e2e.py"), - ], - extra_env={"SERVER_PORT": _MULTIAGENT_SERVER_PORT}, - timeout=300.0, - ), - Sample( - "fastapi-vite/e2e-test/run.sh", + "apps/web_agent/e2e-test/run.sh", cmd=[ "bash", - str(REPO / "examples" / "fastapi-vite" / "e2e-test" / "run.sh"), + str( + REPO / "examples" / "apps" / "web_agent" / "e2e-test" / "run.sh" + ), ], extra_env={ - "BACKEND_PORT": _FASTAPI_BACKEND_PORT, - "FRONTEND_PORT": _FASTAPI_FRONTEND_PORT, + "BACKEND_PORT": _WEB_AGENT_BACKEND_PORT, + "FRONTEND_PORT": _WEB_AGENT_FRONTEND_PORT, }, timeout=300.0, ), - Sample( - "temporal-direct/test_durability.py", - cmd=[ - "uv", - "run", - "--frozen", - "--directory", - str(REPO / "examples" / "temporal-direct"), - "--with-editable", - str(REPO), - "python", - "test_durability.py", - ], - timeout=300.0, - ), ] KNOWN_SAMPLES = [ @@ -163,9 +134,13 @@ def _select_sample( sample = known_samples.get(_path_key(Path(name).resolve())) if sample is not None: return sample + path = Path(name) + if not path.is_absolute() and len(path.parts) == 1: + matches = [s for s in KNOWN_SAMPLES if Path(s.name).name == name] + if len(matches) == 1: + return matches[0] if _sample_path(name).is_file(): return Sample(name) - path = Path(name) if not path.is_absolute() and path.parts[:1] != ("examples",): example_path = REPO / "examples" / path if example_path.is_file(): @@ -278,7 +253,7 @@ def main() -> None: "--model", help=( "run each sample through run-with-patched-model.py with this " - "model id (e.g. 'gateway:openai/gpt-5.4-mini'); ignored for " + "model id (e.g. 'openai/gpt-5.4-mini'); ignored for " "samples with a custom cmd" ), ) @@ -295,7 +270,8 @@ def main() -> None: nargs="*", metavar="example", help=( - "example file(s) to run, e.g. stream.py or " "examples/stream.py" + "example file(s) to run, e.g. models/stream.py or " + "examples/models/stream.py" ), ) args = parser.parse_args() diff --git a/examples/.test_scripts/run-with-patched-model.py b/examples/.test_scripts/run-with-patched-model.py index c113efda..b716495d 100644 --- a/examples/.test_scripts/run-with-patched-model.py +++ b/examples/.test_scripts/run-with-patched-model.py @@ -12,8 +12,8 @@ Example: uv run examples/.test_scripts/run-with-patched-model.py \\ - gateway:openai/gpt-5.4-mini \\ - examples/stream.py + openai/gpt-5.4-mini \\ + examples/models/stream.py """ @@ -62,7 +62,7 @@ def _protocol_factory( def _parse_args() -> argparse.Namespace: parser = argparse.ArgumentParser(description=__doc__) parser.add_argument( - "--model", help="model id, e.g. 'gateway:anthropic/claude-sonnet-4.6'" + "--model", help="model id, e.g. 'anthropic/claude-sonnet-4.6'" ) parser.add_argument("--protocol", choices=PROTOCOLS) parser.add_argument("args", nargs="+", metavar="ARG") diff --git a/examples/README.md b/examples/README.md new file mode 100644 index 00000000..a6ced7c6 --- /dev/null +++ b/examples/README.md @@ -0,0 +1,11 @@ +# Examples + +Examples are grouped by the main API surface they demonstrate. + +- `apps/` contains end-to-end demos. +- `agents/` contains agent loops, tools, hooks, and MCP examples. +- `media/` contains image, video, and multimodal examples. +- `models/` contains model streaming, structured output, and provider examples. + +Provider-specific model examples live under `models//`, such as +`models/gateway/`, `models/openai/`, and `models/anthropic/`. diff --git a/examples/agent_hooks.py b/examples/agent_hooks.py deleted file mode 100644 index 960a33fd..00000000 --- a/examples/agent_hooks.py +++ /dev/null @@ -1,57 +0,0 @@ -"""Human-in-the-loop approval hooks. - -Demonstrates the function-based hook API: - - mark a tool with ``require_approval=True`` to gate its execution - behind an approval hook - - resolve_hook(hook_part, data) to unblock from outside - - Hook signals arrive as HookEvent events -""" - -import asyncio - -import ai - - -@ai.tool(require_approval=True) -async def contact_mothership(query: str) -> str: - """Contact the mothership for important decisions.""" - return "Soon." - - -async def main() -> None: - model = ai.get_model("gateway:anthropic/claude-sonnet-4.6") - - my_agent = ai.Agent(tools=[contact_mothership]) - - messages = [ - ai.system_message( - "Use the contact_mothership tool when asked about the future." - ), - ai.user_message("When will the robots take over?"), - ] - - async with my_agent.run(model, messages) as stream: - async for event in stream: - if isinstance(event, ai.events.TextDelta): - print(event.chunk, end="", flush=True) - continue - - # Hook signals arrive as HookEvent events. - if ( - isinstance(event, ai.events.HookEvent) - and event.hook.status == "pending" - ): - hook_part = event.hook - answer = input(f"Approve {hook_part.hook_id}? [y/n] ") - ai.resolve_hook( - hook_part, - ai.tools.ToolApproval( - granted=answer.strip().lower() in ("y", "yes"), - reason="operator decision", - ), - ) - print() - - -if __name__ == "__main__": - asyncio.run(main()) diff --git a/examples/agent_hooks_inline.py b/examples/agent_hooks_inline.py deleted file mode 100644 index 55cc024c..00000000 --- a/examples/agent_hooks_inline.py +++ /dev/null @@ -1,115 +0,0 @@ -"""Human-in-the-loop approval hooks (inline gating variant). - -Demonstrates the function-based hook API: - - await hook("label", payload=Model) to suspend inside the loop - - resolve_hook(hook_part, data) to unblock from outside - - Hook signals arrive as HookEvent events - -The custom loop uses the concurrent ``ToolRunner`` flow. The approval -hook is awaited inline inside the merge loop: on grant, the original -``ToolCall`` is scheduled normally; on denial, a synthetic -``ToolCallResult`` is fed straight into the runner via -``ToolRunner.add_result``. - -This version uses a fully inline approach, with no external wrapper -class. - -""" - -import asyncio -from collections.abc import AsyncGenerator -from typing import ClassVar - -import pydantic - -import ai - - -class Approval(pydantic.BaseModel): - granted: bool - reason: str = "" - - -@ai.tool -async def contact_mothership(query: str) -> str: - """Contact the mothership for important decisions.""" - return "Soon." - - -class ApprovalAgent(ai.Agent): - TOOLS: ClassVar[list[ai.AgentTool]] = [contact_mothership] - - async def loop( - self, context: ai.Context - ) -> AsyncGenerator[ai.events.AgentEvent]: - while context.keep_running(): - async with ( - ai.stream(context=context) as s, - ai.ToolRunner() as tr, - ): - async for event in ai.util.merge(s, tr.events()): - yield event - if not isinstance(event, ai.events.ToolEnd): - continue - - tc = context.resolve(event.tool_call) - if tc.name == "contact_mothership": - approval = await ai.hook( - f"approve_{tc.id}", - payload=Approval, - metadata={"tool": tc.name, "kwargs": tc.kwargs}, - ) - if not approval.granted: - tr.add_result( - ai.tool_result( - tool_call_id=tc.id, - tool_name=tc.name, - result=f"Rejected: {approval.reason}", - is_error=True, - ) - ) - continue - - tr.schedule(tc) - - context.add(s.message) - context.add(tr.get_tool_message()) - - -async def main() -> None: - model = ai.get_model("gateway:anthropic/claude-sonnet-4.6") - - my_agent = ApprovalAgent() - - messages = [ - ai.system_message( - "Use the contact_mothership tool when asked about the future." - ), - ai.user_message("When will the robots take over?"), - ] - - async with my_agent.run(model, messages) as stream: - async for event in stream: - if isinstance(event, ai.events.TextDelta): - print(event.chunk, end="", flush=True) - continue - - # Hook signals arrive as HookEvent events. - if ( - isinstance(event, ai.events.HookEvent) - and event.hook.status == "pending" - ): - hook_part = event.hook - answer = input(f"Approve {hook_part.hook_id}? [y/n] ") - ai.resolve_hook( - hook_part, - Approval( - granted=answer.strip().lower() in ("y", "yes"), - reason="operator decision", - ), - ) - print() - - -if __name__ == "__main__": - asyncio.run(main()) diff --git a/examples/agent_hooks_serverless.py b/examples/agent_hooks_serverless.py deleted file mode 100644 index 6dd20acf..00000000 --- a/examples/agent_hooks_serverless.py +++ /dev/null @@ -1,110 +0,0 @@ -"""Serverless hook pattern. - -Demonstrates the serverless/stateless pattern where the agent run suspends -cleanly when a hook has no resolution, then re-enters with a pre-registered -resolution. - -Flow: - 1. First run: hook fires; the consumer sees the pending HookEvent and - calls abort_pending_hook(), which raises HookPendingError at the - awaiter so the gated tool short-circuits to a pending placeholder. - 2. Second run: resolve_hook() pre-registers the answer, agent.run() - replays from the same input, and hook finds the resolution immediately. -""" - -import asyncio - -import ai - -FILES_DELETED: set[str] = set() - - -@ai.tool(require_approval=True) -async def delete_file(path: str) -> str: - """Delete a file at the given path.""" - print("FILE DELETED:", path) - FILES_DELETED.add(path) - return f"Deleted {path}" - - -AUDIT_LOG: list[str] = [] - - -@ai.tool -async def audit_log(message: str) -> str: - """Record a message in the audit log.""" - print("AUDIT LOG:", message) - AUDIT_LOG.append(message) - return f"Logged {message!r}" - - -async def main() -> None: - model = ai.get_model("gateway:anthropic/claude-sonnet-4.6") - - my_agent = ai.Agent(tools=[delete_file, audit_log]) - - messages = [ - ai.system_message(""" - Delete files when asked. Always use the delete_file tool. - Whenever deletion is requested, log it in the audit log. - """), - ai.user_message("Delete /tmp/old_logs.txt"), - ] - - # -- First run: no resolution, hook interrupts -- - print("--- Run 1: hook fires, no resolution, run suspends ---") - pending_hooks: list[ai.messages.HookPart[ai.tools.ToolApproval]] = [] - - async with my_agent.run(model, messages) as stream: - async for event in stream: - if isinstance(event, ai.events.TextDelta): - print(event.chunk, end="", flush=True) - elif ( - isinstance(event, ai.events.HookEvent) - and event.hook.status == "pending" - ): - hook_part = event.hook - pending_hooks.append(hook_part) - print( - f" Hook pending: {hook_part.hook_id} " - f"(metadata={hook_part.metadata})" - ) - ai.abort_pending_hook(hook_part) - - # Pick up the assistant turn that the loop appended so the - # next run replays from the same point. - messages = stream.messages - - print( - "\n Run interrupted; approval will be pre-registered for re-entry.\n" - ) - assert ( - len(AUDIT_LOG) == 1 and "/tmp/old_logs.txt" in AUDIT_LOG[0] - ), f"Bad audit log: {AUDIT_LOG}" - - # -- Second run: pre-register resolution, replay from checkpoint -- - print("--- Run 2: pre-register approval, resume from checkpoint ---") - for hook_part in pending_hooks: - ai.resolve_hook( - hook_part, - ai.tools.ToolApproval(granted=True, reason="user granted"), - ) - - async with my_agent.run(model, messages) as stream: - async for event in stream: - if isinstance(event, ai.events.TextDelta): - print(event.chunk, end="", flush=True) - elif isinstance(event, ai.events.HookEvent): - print(f" Hook {event.hook.status}: {event.hook.hook_id}") - print() - - assert { - "/tmp/old_logs.txt" - } == FILES_DELETED, f"Wrong files deleted: {FILES_DELETED}" - assert ( - len(AUDIT_LOG) == 1 and "/tmp/old_logs.txt" in AUDIT_LOG[0] - ), f"Bad audit log: {AUDIT_LOG}" - - -if __name__ == "__main__": - asyncio.run(main()) diff --git a/examples/agent_simple.py b/examples/agents/basic.py similarity index 87% rename from examples/agent_simple.py rename to examples/agents/basic.py index 42747a46..4f6bdaf5 100644 --- a/examples/agent_simple.py +++ b/examples/agents/basic.py @@ -12,9 +12,9 @@ async def get_weather(city: str) -> str: async def main() -> None: - model = ai.get_model("gateway:anthropic/claude-sonnet-4.6") + model = ai.get_model("anthropic/claude-sonnet-4.6") - my_agent = ai.agent(tools=[get_weather]) + my_agent = ai.Agent(tools=[get_weather]) messages = [ ai.system_message("You are a helpful weather assistant."), diff --git a/examples/read_file_tool.py b/examples/agents/content_tool.py similarity index 91% rename from examples/read_file_tool.py rename to examples/agents/content_tool.py index a875a9d4..d4d67d25 100644 --- a/examples/read_file_tool.py +++ b/examples/agents/content_tool.py @@ -23,7 +23,7 @@ # Restrict the tool to a directory we trust the model to roam in. # `.resolve()` collapses symlinks so a path inside ALLOWED_ROOT cannot # escape via a symlink that points elsewhere. -ALLOWED_ROOT = pathlib.Path(__file__).parent.resolve() +ALLOWED_ROOT = pathlib.Path(__file__).parents[1].resolve() def _resolve_within_allowed(path: str) -> pathlib.Path: @@ -52,12 +52,12 @@ async def read_file(path: str) -> str | ai.messages.ContentOutput: async def main() -> None: - model = ai.get_model("gateway:anthropic/claude-sonnet-4.6") - my_agent = ai.agent(tools=[read_file]) + model = ai.get_model("anthropic/claude-sonnet-4.6") + my_agent = ai.Agent(tools=[read_file]) here = pathlib.Path(__file__).parent - image_path = here / "sample_image.jpg" - text_path = here / "agent_simple.py" + image_path = ALLOWED_ROOT / "media" / "sample_image.jpg" + text_path = here / "basic.py" messages = [ ai.system_message( diff --git a/examples/agents/custom_hook.py b/examples/agents/custom_hook.py new file mode 100644 index 00000000..44effa96 --- /dev/null +++ b/examples/agents/custom_hook.py @@ -0,0 +1,69 @@ +"""Custom hook: pause a tool for application-specific input.""" + +import asyncio + +import pydantic + +import ai + + +class DeploymentReview(pydantic.BaseModel): + approved: bool + reviewer: str + reason: str = "" + + +@ai.tool +async def request_deployment_review(environment: str, change: str) -> str: + """Request external review before deployment.""" + review = await ai.hook( + f"deployment_review_{environment}", + payload=DeploymentReview, + metadata={"environment": environment, "change": change}, + ) + if review.approved: + return f"Approved by {review.reviewer}: {review.reason}" + return f"Rejected by {review.reviewer}: {review.reason}" + + +async def main() -> None: + model = ai.get_model("anthropic/claude-sonnet-4.6") + agent = ai.Agent(tools=[request_deployment_review]) + + messages = [ + ai.system_message( + "Always call request_deployment_review before answering " + "deployment questions." + ), + ai.user_message( + "Can I deploy version 2.7 to production during the next window?" + ), + ] + + async with agent.run(model, messages) as stream: + async for event in stream: + if isinstance(event, ai.events.TextDelta): + print(event.chunk, end="", flush=True) + elif ( + isinstance(event, ai.events.HookEvent) + and event.hook.status == "pending" + ): + print(f"\n[pending] {event.hook.hook_id}") + ai.resolve_hook( + event.hook, + DeploymentReview( + approved=True, + reviewer="ops", + reason="change window is open", + ), + ) + elif ( + isinstance(event, ai.events.HookEvent) + and event.hook.status == "resolved" + ): + print(f"[resolved] {event.hook.hook_id}") + print() + + +if __name__ == "__main__": + asyncio.run(main()) diff --git a/examples/agent_custom_loop.py b/examples/agents/custom_loop.py similarity index 97% rename from examples/agent_custom_loop.py rename to examples/agents/custom_loop.py index ebb2b10f..db52e77f 100644 --- a/examples/agent_custom_loop.py +++ b/examples/agents/custom_loop.py @@ -56,7 +56,7 @@ async def loop( async def main() -> None: - model = ai.get_model("gateway:anthropic/claude-sonnet-4.6") + model = ai.get_model("anthropic/claude-sonnet-4.6") my_agent = CustomAgent() diff --git a/examples/mcp_tools.py b/examples/agents/mcp_tools.py similarity index 88% rename from examples/mcp_tools.py rename to examples/agents/mcp_tools.py index 9706fb4d..69358bc1 100644 --- a/examples/mcp_tools.py +++ b/examples/agents/mcp_tools.py @@ -7,7 +7,7 @@ async def main() -> None: - model = ai.get_model("gateway:anthropic/claude-sonnet-4.6") + model = ai.get_model("anthropic/claude-sonnet-4.6") context7_tools: list[ai.AgentTool] = await ai.mcp.get_http_tools( "https://mcp.context7.com/mcp", @@ -15,7 +15,7 @@ async def main() -> None: tool_prefix="context7", ) - my_agent = ai.agent(tools=context7_tools) + my_agent = ai.Agent(tools=context7_tools) messages = [ ai.system_message( diff --git a/examples/streaming_tool.py b/examples/agents/streaming_tool.py similarity index 93% rename from examples/streaming_tool.py rename to examples/agents/streaming_tool.py index b827087a..a8892678 100644 --- a/examples/streaming_tool.py +++ b/examples/agents/streaming_tool.py @@ -31,9 +31,9 @@ async def talk_to_mothership(question: str) -> ai.StreamingStatusTool[str]: async def main() -> None: - model = ai.get_model("gateway:anthropic/claude-sonnet-4.6") + model = ai.get_model("anthropic/claude-sonnet-4.6") - my_agent = ai.agent(tools=[talk_to_mothership]) + my_agent = ai.Agent(tools=[talk_to_mothership]) messages = [ ai.system_message( diff --git a/examples/agent_nested.py b/examples/agents/subagent.py similarity index 92% rename from examples/agent_nested.py rename to examples/agents/subagent.py index df3dead0..e5ce8160 100644 --- a/examples/agent_nested.py +++ b/examples/agents/subagent.py @@ -4,7 +4,7 @@ import ai -model = ai.get_model("gateway:anthropic/claude-sonnet-4.6") +model = ai.get_model("anthropic/claude-sonnet-4.6") @ai.tool @@ -26,7 +26,7 @@ async def get_facts(topic: str) -> str: @ai.tool async def research(topic: str) -> ai.SubAgentTool: """Research a topic in depth using a sub-agent.""" - researcher = ai.agent(tools=[get_facts]) + researcher = ai.Agent(tools=[get_facts]) messages = [ ai.system_message("You are a research assistant. Be concise."), @@ -39,7 +39,7 @@ async def research(topic: str) -> ai.SubAgentTool: async def main() -> None: - orchestrator = ai.agent(tools=[research]) + orchestrator = ai.Agent(tools=[research]) messages = [ ai.system_message( diff --git a/examples/agents/tool_approval.py b/examples/agents/tool_approval.py new file mode 100644 index 00000000..f9a6fe51 --- /dev/null +++ b/examples/agents/tool_approval.py @@ -0,0 +1,97 @@ +"""Built-in tool approval: live resolution and interrupted replay.""" + +import asyncio +from typing import Any + +import ai + +model = ai.get_model("anthropic/claude-sonnet-4.6") + +reports: list[str] = [] + + +@ai.tool(require_approval=True) +async def notify(recipient: str, topic: str) -> str: + """Send a short status report to a recipient.""" + reports.append(f"{recipient}:{topic}") + return f"Sent status report about {topic} to {recipient}." + + +agent = ai.Agent(tools=[notify]) + + +async def live(messages: list[ai.messages.Message]) -> None: + print("--- live resolution ---") + async with agent.run(model, messages) as stream: + async for event in stream: + if isinstance(event, ai.events.TextDelta): + print(event.chunk, end="", flush=True) + elif ( + isinstance(event, ai.events.HookEvent) + and event.hook.status == "pending" + ): + print(f"\n[pending] {event.hook.hook_id}") + ai.resolve_hook( + event.hook, + ai.tools.ToolApproval( + granted=True, + reason="approved while the run is still active", + ), + ) + print() + + +async def stateless( + history: list[ai.messages.Message], + approvals: dict[str, ai.tools.ToolApproval] | None = None, +) -> tuple[list[ai.messages.Message], list[ai.messages.HookPart[Any]], str]: + for hook_id, approval in (approvals or {}).items(): + ai.resolve_hook(hook_id, approval) + + pending: list[ai.messages.HookPart[Any]] = [] + text: list[str] = [] + + async with agent.run(model, history) as stream: + async for event in stream: + if isinstance(event, ai.events.TextDelta): + text.append(event.chunk) + print(event.chunk, end="", flush=True) + elif ( + isinstance(event, ai.events.HookEvent) + and event.hook.status == "pending" + ): + pending.append(event.hook) + print(f"\n[pending] {event.hook.hook_id}") + ai.abort_pending_hook(event.hook) + + return stream.messages, pending, "".join(text) + + +async def main() -> None: + messages = [ + ai.system_message( + "Always use notify before answering. " + "Use recipient='ops' and the user's topic." + ), + ai.user_message(f"Send a status report about the database readiness."), + ] + + await live(messages) + + print("\n--- interrupted resolution ---") + messages, pending, _ = await stateless(messages) + approvals = { + hook.hook_id: ai.tools.ToolApproval( + granted=True, + reason="approved before replaying the interrupted run", + ) + for hook in pending + } + print("\n\n--- replay with approval ---") + await stateless(messages, approvals=approvals) + + print(f"\nReports sent: {', '.join(reports)}") + + +if __name__ == "__main__": + asyncio.run(main()) diff --git a/examples/apps/coding_agent/README.md b/examples/apps/coding_agent/README.md new file mode 100644 index 00000000..69ed8b3f --- /dev/null +++ b/examples/apps/coding_agent/README.md @@ -0,0 +1,25 @@ +# coding_agent + +Minimal coding-agent TUI built with the AI SDK for Python and +[Textual](https://textual.textualize.io/). One file, one tool. + +- a single `bash` tool that streams command output into the transcript +- streamed markdown replies (and reasoning, when the model emits it) +- every bash call is gated behind a `ToolApproval` hook: the run + suspends, a y/n prompt appears above the composer, and the decision + is resolved in-process with `ai.resolve_hook()` +- messages typed while the agent is busy are queued and run in order; + Esc interrupts the current turn + +> The agent runs arbitrary shell commands in your working directory +> once you approve them. Run it somewhere you don't mind it touching. + +## Running + +```bash +cd examples/apps/coding_agent +uv run main.py +``` + +Set `AI_GATEWAY_API_KEY` first. `MODEL_ID` overrides the default model +(`anthropic/claude-sonnet-4.6`). diff --git a/examples/apps/coding_agent/main.py b/examples/apps/coding_agent/main.py new file mode 100644 index 00000000..3c977b26 --- /dev/null +++ b/examples/apps/coding_agent/main.py @@ -0,0 +1,448 @@ +"""A minimal coding agent: the ai SDK + Textual, one bash tool. + +The whole app is this file: a bash tool, a transcript that renders +streamed markdown, and an approval prompt. The user types a message, +the agent streams its reply, and every bash call suspends the run on a +``ToolApproval`` hook until the operator answers y/n — the decision is +resolved in-process with ``ai.resolve_hook()``. + +Run it from this directory: + + uv run main.py +""" + +import asyncio +import json +import os +from typing import TYPE_CHECKING, Any, ClassVar + +import rich.text +import textual +import textual.app +import textual.binding +import textual.containers +import textual.events +import textual.message +import textual.widgets +import textual.worker + +import ai + +if TYPE_CHECKING: + # MarkdownStream is textual's incremental renderer for streaming + # markdown; it has no public import path yet. + from textual.widgets._markdown import MarkdownStream + +MODEL_ID = os.environ.get("MODEL_ID", "anthropic/claude-sonnet-4.6") + +SYSTEM_PROMPT = """\ +You are a coding assistant running in a terminal TUI. Your only tool +is bash: use it to explore files, run programs, and apply changes in +the current working directory. Keep replies short; use code blocks +for code. +""" + +MAX_OUTPUT = 50 * 1024 # bash output cap, in bytes +RESULT_PREVIEW_CHARS = 400 + + +# --------------------------------------------------------------------------- +# The tool +# --------------------------------------------------------------------------- + + +@ai.tool(require_approval=True) +async def bash(command: str, timeout: float = 120) -> ai.StreamingTextTool: + """Run a shell command in the current working directory. + + Returns stdout and stderr interleaved, truncated to 50KB. + Optionally provide a timeout in seconds. + """ + proc = await asyncio.create_subprocess_shell( + command, + stdin=asyncio.subprocess.DEVNULL, + stdout=asyncio.subprocess.PIPE, + stderr=asyncio.subprocess.STDOUT, + ) + assert proc.stdout is not None + loop = asyncio.get_running_loop() + deadline = loop.time() + timeout + sent = 0 + note = "" + while True: + try: + chunk = await asyncio.wait_for( + proc.stdout.read(4096), deadline - loop.time() + ) + except TimeoutError: + note = f"[Timed out after {timeout:g}s]" + break + if not chunk: + break + sent += len(chunk) + if sent > MAX_OUTPUT: + note = f"[Truncated at {MAX_OUTPUT // 1024}KB]" + break + yield chunk.decode(errors="replace") + if note: + proc.kill() + await proc.wait() + if not note and proc.returncode: + note = f"[Exit code: {proc.returncode}]" + if not note and sent == 0: + note = "[No output]" + if note: + yield ("\n" if sent else "") + note + + +# --------------------------------------------------------------------------- +# Transcript rendering +# --------------------------------------------------------------------------- + + +def _short(value: object, limit: int = 200) -> str: + text = repr(value) + return text if len(text) <= limit else text[: limit - 1] + "…" + + +def _tool_line(part: ai.messages.ToolCallPart) -> str: + try: + args: dict[str, Any] = json.loads(part.tool_args or "{}") + except json.JSONDecodeError: + args = {"raw": part.tool_args} + rendered = ", ".join(f"{k}={_short(v, 80)}" for k, v in args.items()) + return f"→ {part.tool_name}({rendered})" + + +def _result_preview(result: object, *, is_error: bool) -> str: + text = ( + result if isinstance(result, str) else json.dumps(result, default=str) + ) + if len(text) > RESULT_PREVIEW_CHARS: + over = len(text) - RESULT_PREVIEW_CHARS + text = text[:RESULT_PREVIEW_CHARS] + f"… [+{over} chars]" + return f"{'✗' if is_error else '←'} {text}" + + +def _error_text(exc: BaseException) -> str: + if isinstance(exc, BaseExceptionGroup): + return "; ".join(_error_text(e) for e in exc.exceptions) + return f"{type(exc).__name__}: {exc}" + + +class ToolOutput(textual.widgets.Static): + """Streamed output of one tool call.""" + + def __init__(self) -> None: + super().__init__("", classes="tool-output") + self._raw = "" + + def append(self, chunk: str) -> None: + self._raw += chunk + self.update(rich.text.Text(self._raw.rstrip("\n"))) + + +class ChatView(textual.containers.VerticalScroll): + """The transcript: static messages plus one streaming markdown block.""" + + DEFAULT_CSS = """ + ChatView { + height: 1fr; + padding: 1 2 0 2; + scrollbar-size: 1 1; + } + ChatView > * { + margin: 0 0 1 0; + } + ChatView > .user { + background: $surface; + padding: 0 1; + } + ChatView > .thinking { + color: $text-muted; + text-style: italic; + } + ChatView > .tool { + color: $text-muted; + } + ChatView > .tool-output { + color: $text-muted; + background: $surface; + padding: 0 1; + } + ChatView > .system { + color: $text-muted; + text-style: italic; + } + """ + + def __init__(self) -> None: + super().__init__() + self._stream: MarkdownStream | None = None + self._stream_role = "" + self._tool_blocks: dict[str, ToolOutput] = {} + + def push(self, role: str, text: str) -> None: + """Add a static, plain-text message.""" + self._forget_stream() + self.mount(textual.widgets.Static(rich.text.Text(text), classes=role)) + + async def stream(self, role: str, chunk: str) -> None: + """Append a chunk to the current markdown block for *role*. + + Opens a new block when the role changes or after any ``push``. + """ + if self._stream is None or self._stream_role != role: + await self.stop_stream() + md = textual.widgets.Markdown(classes=role) + await self.mount(md) + self._stream = textual.widgets.Markdown.get_stream(md) + self._stream_role = role + await self._stream.write(chunk) + + async def stop_stream(self) -> None: + """Flush and close the streaming markdown block, if any.""" + stream = self._stream + self._forget_stream() + if stream is not None: + await stream.stop() + + def _forget_stream(self) -> None: + # Drop the stream reference without flushing — the next + # ``stream()`` call starts a fresh block below newer messages. + self._stream = None + self._stream_role = "" + + def append_tool_output(self, tool_call_id: str, chunk: str) -> None: + """Append streamed tool output to the block for *tool_call_id*.""" + block = self._tool_blocks.get(tool_call_id) + if block is None: + block = ToolOutput() + self._tool_blocks[tool_call_id] = block + self.mount(block) + block.append(chunk) + + def has_tool_output(self, tool_call_id: str) -> bool: + return tool_call_id in self._tool_blocks + + +# --------------------------------------------------------------------------- +# Approval prompt +# --------------------------------------------------------------------------- + + +class ApprovalPrompt(textual.widgets.Static, can_focus=True): + """y/n prompt for one pending tool-approval hook.""" + + DEFAULT_CSS = """ + ApprovalPrompt { + border: round $warning; + padding: 0 1; + margin-bottom: 1; + } + """ + + class Decided(textual.message.Message): + def __init__(self, hook_id: str, *, granted: bool) -> None: + super().__init__() + self.hook_id = hook_id + self.granted = granted + + def __init__(self, hook: ai.messages.HookPart[Any]) -> None: + tool = hook.metadata.get("tool", "?") + kwargs: dict[str, Any] = hook.metadata.get("kwargs") or {} + body = rich.text.Text() + body.append(f"approve {tool}? ", style="bold yellow") + body.append("[y]es [n]o", style="bold") + for key, value in kwargs.items(): + body.append(f"\n {key} = {_short(value)}", style="dim") + super().__init__(body) + self.hook_id = hook.hook_id + + def on_key(self, event: textual.events.Key) -> None: + if event.character in ("y", "n"): + event.stop() + self.post_message( + self.Decided(self.hook_id, granted=event.character == "y") + ) + + +# --------------------------------------------------------------------------- +# The app +# --------------------------------------------------------------------------- + + +class CodingAgentApp(textual.app.App[None]): + """Chat TUI wired to a single-tool agent.""" + + TITLE = "coding agent" + + CSS = """ + #dock { + dock: bottom; + height: auto; + padding: 0 1 1 1; + } + #composer { + border: round $surface-lighten-2; + } + """ + + BINDINGS: ClassVar = [ + textual.binding.Binding("escape", "interrupt", "interrupt"), + ] + + IDLE_PLACEHOLDER = "describe a task…" + BUSY_PLACEHOLDER = "working… (Enter queues a message, Esc interrupts)" + + def __init__(self) -> None: + super().__init__() + self.model = ai.get_model(MODEL_ID) + self.agent = ai.Agent(tools=[bash]) + self.messages: list[ai.messages.Message] = [ + ai.system_message(SYSTEM_PROMPT) + ] + # Messages typed while a turn is streaming; drained one turn + # at a time so user/assistant alternation stays clean. + self.pending: list[str] = [] + self._worker: textual.worker.Worker[None] | None = None + + def compose(self) -> textual.app.ComposeResult: + yield ChatView() + with textual.containers.Container(id="dock"): + # Approval prompts get mounted here, above the composer. + yield textual.widgets.Input( + placeholder=self.IDLE_PLACEHOLDER, id="composer" + ) + + def on_mount(self) -> None: + self.chat.push("system", f"model: {MODEL_ID} cwd: {os.getcwd()}") + self.chat.anchor() + self.composer.focus() + + @property + def chat(self) -> ChatView: + return self.query_one(ChatView) + + @property + def composer(self) -> textual.widgets.Input: + return self.query_one("#composer", textual.widgets.Input) + + # -- input → turns ------------------------------------------------------ + + def on_input_submitted( + self, event: textual.widgets.Input.Submitted + ) -> None: + text = event.value.strip() + if not text: + return + event.input.clear() + self.chat.push("user", text) + self.pending.append(text) + if self._worker is None: + self.run_turns() + + def action_interrupt(self) -> None: + """Cancel the running turn (Esc).""" + if self._worker is not None: + self._worker.cancel() + + @textual.work(exclusive=True, group="turn") + async def run_turns(self) -> None: + """Drain queued messages, running one agent turn per message.""" + self._worker = textual.worker.get_current_worker() + self.composer.placeholder = self.BUSY_PLACEHOLDER + try: + while self.pending: + self.messages.append(ai.user_message(self.pending.pop(0))) + try: + await self._run_turn() + except asyncio.CancelledError: + self.chat.push("system", "interrupted") + raise + except Exception as exc: + self.chat.push("system", f"error: {_error_text(exc)}") + finally: + self._worker = None + for prompt in self.query(ApprovalPrompt): + prompt.remove() + self.composer.placeholder = self.IDLE_PLACEHOLDER + + async def _run_turn(self) -> None: + """Run one agent turn, rendering events into the transcript.""" + chat = self.chat + async with self.agent.run(self.model, self.messages) as stream: + try: + async for event in stream: + if isinstance(event, ai.events.ReasoningDelta): + await chat.stream("thinking", event.chunk) + elif isinstance(event, ai.events.TextDelta): + await chat.stream("assistant", event.chunk) + elif isinstance(event, ai.events.ToolEnd): + chat.push("tool", _tool_line(event.tool_call)) + elif isinstance(event, ai.events.PartialToolCallResult): + if event.tool_call_id is not None: + chat.append_tool_output( + event.tool_call_id, str(event.value) + ) + elif isinstance(event, ai.events.ToolCallResult): + # Show results that didn't stream through + # PartialToolCallResult — e.g. denied calls. + for part in event.results: + if not chat.has_tool_output(part.tool_call_id): + chat.push( + "tool-output", + _result_preview( + part.result, is_error=part.is_error + ), + ) + elif isinstance(event, ai.events.HookEvent): + self._on_hook(event.hook) + finally: + # ``stream.messages`` is always a clean prefix of + # completed rounds — keep it even on interrupt/error so + # the next turn resumes from consistent history. + self.messages = list(stream.messages) + await chat.stop_stream() + + # -- approval hooks ------------------------------------------------------ + + def _on_hook(self, hook: ai.messages.HookPart[Any]) -> None: + """Mount or dismiss an approval prompt for a hook signal.""" + if hook.status == "pending": + prompt = ApprovalPrompt(hook) + self.query_one("#dock").mount(prompt, before=self.composer) + if not isinstance(self.focused, ApprovalPrompt): + prompt.focus() + else: + self._drop_prompt(hook.hook_id) + + def on_approval_prompt_decided(self, event: ApprovalPrompt.Decided) -> None: + ai.resolve_hook( + event.hook_id, + ai.tools.ToolApproval( + granted=event.granted, + reason="approved by operator" + if event.granted + else "denied by operator", + ), + ) + self.chat.push("system", "approved" if event.granted else "denied") + self._drop_prompt(event.hook_id) + + def _drop_prompt(self, hook_id: str) -> None: + others: list[ApprovalPrompt] = [] + for prompt in self.query(ApprovalPrompt): + if prompt.hook_id == hook_id: + prompt.remove() + else: + others.append(prompt) + (others[0] if others else self.composer).focus() + + +def main() -> None: + CodingAgentApp().run() + + +if __name__ == "__main__": + main() diff --git a/examples/apps/coding_agent/pyproject.toml b/examples/apps/coding_agent/pyproject.toml new file mode 100644 index 00000000..6927a462 --- /dev/null +++ b/examples/apps/coding_agent/pyproject.toml @@ -0,0 +1,16 @@ +[project] +name = "coding-agent" +version = "0.1.0" +description = "Minimal coding-agent TUI using the AI SDK for Python and Textual" +requires-python = ">=3.12" +dependencies = [ + "ai", + "rich>=14.0", + "textual>=8.2", +] + +[tool.uv] +exclude-newer = "2 days" + +[tool.uv.sources] +ai = { path = "../../..", editable = true } diff --git a/examples/temporal-direct/uv.lock b/examples/apps/coding_agent/uv.lock similarity index 76% rename from examples/temporal-direct/uv.lock rename to examples/apps/coding_agent/uv.lock index 79a24c09..f5beae8c 100644 --- a/examples/temporal-direct/uv.lock +++ b/examples/apps/coding_agent/uv.lock @@ -8,7 +8,7 @@ exclude-newer-span = "P2D" [[package]] name = "ai" -source = { editable = "../../" } +source = { editable = "../../../" } dependencies = [ { name = "httpx" }, { name = "modelsdotdev" }, @@ -60,24 +60,41 @@ wheels = [ [[package]] name = "anyio" -version = "4.13.0" +version = "4.14.1" source = { registry = "https://pypi.org/simple" } dependencies 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a/examples/apps/durable_agent_temporal/README.md b/examples/apps/durable_agent_temporal/README.md new file mode 100644 index 00000000..5914203f --- /dev/null +++ b/examples/apps/durable_agent_temporal/README.md @@ -0,0 +1,36 @@ +# durable_agent_temporal + +Durable agent demo using AI SDK for Python, Temporal, FastAPI, +React, AI SDK UI, and AI Elements. + +The UI sends full message history to `/api/chat`. The backend starts one +durable workflow turn, waits for the completed turn, and returns one AI SDK UI +message stream. The agent has a single `bash` tool. Every LLM call and tool +execution runs as a Temporal activity; Temporal's event history makes the +turn durable across worker restarts. + +## Prerequisites + +- [Temporal CLI](https://docs.temporal.io/cli) (`brew install temporal`) +- `AI_GATEWAY_API_KEY` environment variable set + +## Development + +The app is three pieces: a local Temporal server, the Temporal worker that +runs the agent, and the frontend + API served together by `vercel dev`. +Run each in its own terminal, all from `examples/apps/durable_agent_temporal`: + +```bash +# 1. Temporal dev server (workflow state, UI at http://localhost:8233) +temporal server start-dev + +# 2. Temporal worker — hosts the workflow and its activities, +# including the LLM calls, so it needs AI_GATEWAY_API_KEY +cd backend && uv run worker + +# 3. frontend + API on http://localhost:3000, /api routed to FastAPI +vercel dev +``` + +`TEMPORAL_ADDRESS` overrides the Temporal server address for both the worker +and the API server (default `localhost:7233`). diff --git a/examples/fastapi-vite/backend/.python-version b/examples/apps/durable_agent_temporal/backend/.python-version similarity index 100% rename from examples/fastapi-vite/backend/.python-version rename to examples/apps/durable_agent_temporal/backend/.python-version diff --git a/examples/apps/durable_agent_temporal/backend/app/__init__.py b/examples/apps/durable_agent_temporal/backend/app/__init__.py new file mode 100644 index 00000000..81371328 --- /dev/null +++ b/examples/apps/durable_agent_temporal/backend/app/__init__.py @@ -0,0 +1 @@ +"""FastAPI service for the durable Temporal agent example.""" diff --git a/examples/apps/durable_agent_temporal/backend/app/server.py b/examples/apps/durable_agent_temporal/backend/app/server.py new file mode 100644 index 00000000..cac2b095 --- /dev/null +++ b/examples/apps/durable_agent_temporal/backend/app/server.py @@ -0,0 +1,94 @@ +from __future__ import annotations + +import asyncio +import collections.abc +import os +import uuid + +import ai +import ai.agents.ui.ai_sdk as ai_sdk +import fastapi +import fastapi.middleware.cors +import fastapi.responses +import pydantic +import temporalio.client + +from . import worker + +# Connected lazily on first use so the server can boot before the +# Temporal dev server is up. +_temporal: temporalio.client.Client | None = None +_temporal_lock = asyncio.Lock() + + +async def _temporal_client() -> temporalio.client.Client: + global _temporal + async with _temporal_lock: + if _temporal is None: + _temporal = await temporalio.client.Client.connect( + os.environ.get("TEMPORAL_ADDRESS", "localhost:7233") + ) + return _temporal + + +app = fastapi.FastAPI(title="durable-agent-temporal") +app.add_middleware( + fastapi.middleware.cors.CORSMiddleware, + allow_origins=["*"], + allow_credentials=True, + allow_methods=["*"], + allow_headers=["*"], +) + + +class ChatRequest(pydantic.BaseModel): + messages: list[ai_sdk.UIMessage] + + +@app.get("/health") +async def health() -> dict[str, str]: + return {"status": "ok"} + + +@app.post("/chat") +async def post_chat(request: ChatRequest) -> fastapi.responses.StreamingResponse: + messages, _ = ai_sdk.to_messages(request.messages) + if not messages: + raise fastapi.HTTPException(status_code=400, detail="No messages to run") + + client = await _temporal_client() + output_data = await client.execute_workflow( + worker.RunTurn.run, + worker.TurnInput( + messages=_with_system_message(messages), + ).model_dump(mode="json"), + id=f"turn-{uuid.uuid4().hex[:8]}", + task_queue=worker.TASK_QUEUE, + ) + output = worker.TurnOutput.model_validate(output_data) + if output.error is not None: + raise fastapi.HTTPException(status_code=500, detail=output.error) + + return fastapi.responses.StreamingResponse( + _to_sse(output.events), + headers=ai_sdk.UI_MESSAGE_STREAM_HEADERS, + ) + + +def _with_system_message( + messages: list[ai.messages.Message], +) -> list[ai.messages.Message]: + if messages and messages[0].role == "system": + return messages + return [ai.system_message(worker.SYSTEM_PROMPT), *messages] + + +async def _to_sse( + events_data: list[dict[str, object]], +) -> collections.abc.AsyncIterator[str]: + async def events() -> collections.abc.AsyncIterator[ai.events.AgentEvent]: + for event_data in events_data: + yield worker.AGENT_EVENT_ADAPTER.validate_python(event_data) + + async for chunk in ai_sdk.to_sse(events()): + yield chunk diff --git a/examples/apps/durable_agent_temporal/backend/app/worker.py b/examples/apps/durable_agent_temporal/backend/app/worker.py new file mode 100644 index 00000000..f1cc58b2 --- /dev/null +++ b/examples/apps/durable_agent_temporal/backend/app/worker.py @@ -0,0 +1,210 @@ +from __future__ import annotations + +import asyncio +import datetime +import os +import traceback +from collections.abc import AsyncGenerator +from typing import Any, ClassVar + +import temporalio.activity +import temporalio.client +import temporalio.common +import temporalio.worker +import temporalio.workflow + +# The workflow sandbox re-imports non-passthrough modules under determinism +# restrictions, which the ai package (via httpx -> tempfile -> shutil) does +# not survive. Share the host's modules instead. pydantic must come along: +# a sandbox copy would make the ai models fail isinstance checks. +with temporalio.workflow.unsafe.imports_passed_through(): + import ai + import pydantic + +MODEL_ID = "gateway:anthropic/claude-sonnet-4.6" +TASK_QUEUE = "durable-agent-temporal" +SYSTEM_PROMPT = """\ +You are a coding assistant running inside a durable workflow. Help the user +inspect and modify the current project. Use bash when you need to read files, +run commands, or verify behavior. Keep answers concise. +""" + +AGENT_EVENT_ADAPTER: pydantic.TypeAdapter[ai.events.AgentEvent] = pydantic.TypeAdapter( + ai.events.AgentEvent +) + +NO_RETRIES = temporalio.common.RetryPolicy(maximum_attempts=1) + + +class TurnInput(pydantic.BaseModel): + messages: list[ai.messages.Message] + + +class TurnOutput(pydantic.BaseModel): + messages: list[ai.messages.Message] + events: list[dict[str, Any]] = pydantic.Field(default_factory=list) + error: str | None = None + + +@temporalio.activity.defn +async def llm_activity( + model_data: dict[str, Any], + messages_data: list[dict[str, Any]], + tools_data: list[dict[str, Any]], +) -> dict[str, Any]: + model = ai.Model.model_validate(model_data) + messages = [ + ai.messages.Message.model_validate(message) for message in messages_data + ] + tools = [ai.Tool.model_validate(tool) for tool in tools_data] + + message: ai.messages.Message | None = None + async with ai.stream(model, messages, tools=tools) as model_stream: + async for event in model_stream: + if isinstance(event, ai.events.StreamEnd): + message = event.message + + if message is None: + message = model_stream.message + + return message.model_dump(mode="json") + + +@temporalio.activity.defn +async def bash_activity(command: str, timeout: int | None = None) -> str: + proc = await asyncio.create_subprocess_exec( + "bash", + "-c", + command, + stdout=asyncio.subprocess.PIPE, + stderr=asyncio.subprocess.STDOUT, + ) + try: + stdout, _ = await asyncio.wait_for(proc.communicate(), timeout=timeout) + except TimeoutError: + proc.kill() + await proc.communicate() + return f"Command timed out after {timeout}s." + + output = stdout.decode() if stdout else "" + if proc.returncode != 0: + return f"[exit code {proc.returncode}]\n{output}" + return output + + +@ai.tool +async def bash(command: str, timeout: int | None = None) -> str: + """Execute a bash command. Use timeout in seconds to limit long commands.""" + return await temporalio.workflow.execute_activity( + bash_activity, + args=[command, timeout], + start_to_close_timeout=datetime.timedelta(minutes=5), + retry_policy=NO_RETRIES, + ) + + +class DurableAgent(ai.Agent): + TOOLS: ClassVar[list[ai.AgentTool]] = [bash] + + async def loop(self, context: ai.Context) -> AsyncGenerator[ai.events.AgentEvent]: + tools_data = [tool.model_dump(mode="json") for tool in context.tools] + + while context.keep_running(): + result = await temporalio.workflow.execute_activity( + llm_activity, + args=[ + context.model.model_dump(mode="json"), + [message.model_dump(mode="json") for message in context.messages], + tools_data, + ], + start_to_close_timeout=datetime.timedelta(minutes=5), + retry_policy=NO_RETRIES, + ) + assistant_message = ai.messages.Message.model_validate(result) + context.add(assistant_message) + + async with ai.Stream.replay_message(assistant_message) as replay: + async for event in replay: + yield event + + async with ai.ToolRunner() as runner: + for tool_call in assistant_message.tool_calls: + runner.schedule(context.resolve(tool_call)) + + async for tool_event in runner.events(): + yield tool_event + + tool_message = runner.get_tool_message() + if tool_message is not None: + context.add(tool_message) + + +durable_agent = DurableAgent() + + +async def _run_turn(turn_input: dict[str, Any]) -> TurnOutput: + _turn_input = TurnInput.model_validate(turn_input) + messages = _turn_input.messages + events: list[dict[str, Any]] = [] + + try: + model = ai.get_model(MODEL_ID) + async with durable_agent.run(model, messages) as run: + async for event in run: + events.append(event.model_dump(mode="json")) + messages = run.messages + except Exception as error: + output = TurnOutput( + messages=messages, + events=events, + error=f"{type(error).__name__}: {error}", + ) + print( + f"[durable_agent_temporal] error in run_turn:\n{traceback.format_exc()}", + flush=True, + ) + else: + output = TurnOutput(messages=messages, events=events) + + return output + + +@temporalio.workflow.defn +class RunTurn: + # Draw message/part ids from the workflow's deterministic RNG so they + # are stable across replay. ``workflow.random`` is passed as a factory + # (it's only valid inside the workflow) and resolved on each call. + @temporalio.workflow.run + @ai.messages.use_random_async(temporalio.workflow.random) + async def run(self, turn_input: dict[str, Any]) -> dict[str, Any]: + try: + output = await _run_turn(turn_input) + return output.model_dump(mode="json") + except Exception: + print( + f"[durable_agent_temporal] run_turn failed:\n{traceback.format_exc()}", + flush=True, + ) + raise + + +async def main() -> None: + client = await temporalio.client.Client.connect( + os.environ.get("TEMPORAL_ADDRESS", "localhost:7233") + ) + async with temporalio.worker.Worker( + client, + task_queue=TASK_QUEUE, + workflows=[RunTurn], + activities=[llm_activity, bash_activity], + ): + print(f"[durable_agent_temporal] worker running on {TASK_QUEUE!r}", flush=True) + await asyncio.Event().wait() + + +def run() -> None: + asyncio.run(main()) + + +if __name__ == "__main__": + run() diff --git a/examples/apps/durable_agent_temporal/backend/pyproject.toml b/examples/apps/durable_agent_temporal/backend/pyproject.toml new file mode 100644 index 00000000..4bd2ab2d --- /dev/null +++ b/examples/apps/durable_agent_temporal/backend/pyproject.toml @@ -0,0 +1,50 @@ +[project] +name = "durable-agent-temporal-backend" +version = "0.1.0" +description = "Durable AI SDK Python agent using Temporal" +requires-python = ">=3.12" +dependencies = [ + "fastapi[standard]>=0.115.0", + "temporalio>=1.9.0", + "ai", +] + +[project.scripts] +worker = "app.worker:run" + +[build-system] +requires = ["hatchling"] +build-backend = "hatchling.build" + +[tool.hatch.build.targets.wheel] +packages = ["app"] + +[tool.mypy] +python_version = "3.12" +strict = true +plugins = ["pydantic.mypy"] + 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index 00000000..0967ef42 --- /dev/null +++ b/examples/apps/durable_agent_temporal/frontend/.prettierrc @@ -0,0 +1 @@ +{} diff --git a/examples/fastapi-vite/frontend/components.json b/examples/apps/durable_agent_temporal/frontend/components.json similarity index 100% rename from examples/fastapi-vite/frontend/components.json rename to examples/apps/durable_agent_temporal/frontend/components.json diff --git a/examples/apps/durable_agent_temporal/frontend/eslint.config.js b/examples/apps/durable_agent_temporal/frontend/eslint.config.js new file mode 100644 index 00000000..4ea233ee --- /dev/null +++ b/examples/apps/durable_agent_temporal/frontend/eslint.config.js @@ -0,0 +1,31 @@ +import js from "@eslint/js"; +import globals from "globals"; +import reactHooks from "eslint-plugin-react-hooks"; +import reactRefresh from "eslint-plugin-react-refresh"; +import tseslint from "typescript-eslint"; +import eslintConfigPrettier from "eslint-config-prettier"; +import { defineConfig, globalIgnores } from "eslint/config"; + +export default defineConfig([ + globalIgnores(["dist"]), + { + files: ["**/*.{ts,tsx}"], + extends: [ + js.configs.recommended, + tseslint.configs.recommended, + reactHooks.configs.flat.recommended, + reactRefresh.configs.vite, + ], + languageOptions: { + ecmaVersion: 2020, + globals: globals.browser, + }, + rules: { + "react-refresh/only-export-components": [ + "warn", + { allowConstantExport: true }, + ], + }, + }, + eslintConfigPrettier, +]); diff --git a/examples/apps/durable_agent_temporal/frontend/index.html b/examples/apps/durable_agent_temporal/frontend/index.html new file mode 100644 index 00000000..4953797d --- /dev/null +++ b/examples/apps/durable_agent_temporal/frontend/index.html @@ -0,0 +1,13 @@ + + + + + + + durable temporal agent + + +
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'@radix-ui/react-context': 1.1.2(@types/react@19.2.14)(react@19.2.4) + '@radix-ui/react-primitive': 2.1.3(@types/react-dom@19.2.3(@types/react@19.2.14))(@types/react@19.2.14)(react-dom@19.2.4(react@19.2.4))(react@19.2.4) + '@radix-ui/react-use-callback-ref': 1.1.1(@types/react@19.2.14)(react@19.2.4) + '@radix-ui/react-use-layout-effect': 1.1.1(@types/react@19.2.14)(react@19.2.4) + '@radix-ui/react-use-rect': 1.1.1(@types/react@19.2.14)(react@19.2.4) + '@radix-ui/react-use-size': 1.1.1(@types/react@19.2.14)(react@19.2.4) + '@radix-ui/rect': 1.1.1 + react: 19.2.4 + react-dom: 19.2.4(react@19.2.4) + optionalDependencies: + '@types/react': 19.2.14 + '@types/react-dom': 19.2.3(@types/react@19.2.14) + + '@radix-ui/react-portal@1.1.9(@types/react-dom@19.2.3(@types/react@19.2.14))(@types/react@19.2.14)(react-dom@19.2.4(react@19.2.4))(react@19.2.4)': + dependencies: + '@radix-ui/react-primitive': 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react-remove-scroll@2.7.2(@types/react@19.2.14)(react@19.2.4): + dependencies: + react: 19.2.4 + react-remove-scroll-bar: 2.3.8(@types/react@19.2.14)(react@19.2.4) + react-style-singleton: 2.2.3(@types/react@19.2.14)(react@19.2.4) + tslib: 2.8.1 + use-callback-ref: 1.3.3(@types/react@19.2.14)(react@19.2.4) + use-sidecar: 1.1.3(@types/react@19.2.14)(react@19.2.4) + optionalDependencies: + '@types/react': 19.2.14 + + react-style-singleton@2.2.3(@types/react@19.2.14)(react@19.2.4): + dependencies: + get-nonce: 1.0.1 + react: 19.2.4 + tslib: 2.8.1 + optionalDependencies: + '@types/react': 19.2.14 + + react@19.2.4: {} + + regex-recursion@6.0.2: + dependencies: + regex-utilities: 2.3.0 + + regex-utilities@2.3.0: {} + + regex@6.1.0: + dependencies: + regex-utilities: 2.3.0 + + rehype-harden@1.1.8: + dependencies: + unist-util-visit: 5.1.0 + + rehype-katex@7.0.1: + dependencies: + '@types/hast': 3.0.4 + '@types/katex': 0.16.8 + hast-util-from-html-isomorphic: 2.0.0 + hast-util-to-text: 4.0.2 + 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remark-gfm@4.0.1: + dependencies: + '@types/mdast': 4.0.4 + mdast-util-gfm: 3.1.0 + micromark-extension-gfm: 3.0.0 + remark-parse: 11.0.0 + remark-stringify: 11.0.0 + unified: 11.0.5 + transitivePeerDependencies: + - supports-color + + remark-math@6.0.0: + dependencies: + '@types/mdast': 4.0.4 + mdast-util-math: 3.0.0 + micromark-extension-math: 3.1.0 + unified: 11.0.5 + transitivePeerDependencies: + - supports-color + + remark-parse@11.0.0: + dependencies: + '@types/mdast': 4.0.4 + mdast-util-from-markdown: 2.0.3 + micromark-util-types: 2.0.2 + unified: 11.0.5 + transitivePeerDependencies: + - supports-color + + remark-rehype@11.1.2: + dependencies: + '@types/hast': 3.0.4 + '@types/mdast': 4.0.4 + mdast-util-to-hast: 13.2.1 + unified: 11.0.5 + vfile: 6.0.3 + + remark-stringify@11.0.0: + dependencies: + '@types/mdast': 4.0.4 + mdast-util-to-markdown: 2.1.2 + unified: 11.0.5 + + remend@1.2.1: {} + + resolve-from@4.0.0: {} + + robust-predicates@3.0.2: {} + + rollup@4.59.0: + dependencies: + '@types/estree': 1.0.8 + optionalDependencies: + '@rollup/rollup-android-arm-eabi': 4.59.0 + '@rollup/rollup-android-arm64': 4.59.0 + '@rollup/rollup-darwin-arm64': 4.59.0 + '@rollup/rollup-darwin-x64': 4.59.0 + '@rollup/rollup-freebsd-arm64': 4.59.0 + '@rollup/rollup-freebsd-x64': 4.59.0 + '@rollup/rollup-linux-arm-gnueabihf': 4.59.0 + '@rollup/rollup-linux-arm-musleabihf': 4.59.0 + '@rollup/rollup-linux-arm64-gnu': 4.59.0 + '@rollup/rollup-linux-arm64-musl': 4.59.0 + '@rollup/rollup-linux-loong64-gnu': 4.59.0 + '@rollup/rollup-linux-loong64-musl': 4.59.0 + '@rollup/rollup-linux-ppc64-gnu': 4.59.0 + '@rollup/rollup-linux-ppc64-musl': 4.59.0 + '@rollup/rollup-linux-riscv64-gnu': 4.59.0 + '@rollup/rollup-linux-riscv64-musl': 4.59.0 + '@rollup/rollup-linux-s390x-gnu': 4.59.0 + '@rollup/rollup-linux-x64-gnu': 4.59.0 + '@rollup/rollup-linux-x64-musl': 4.59.0 + '@rollup/rollup-openbsd-x64': 4.59.0 + '@rollup/rollup-openharmony-arm64': 4.59.0 + '@rollup/rollup-win32-arm64-msvc': 4.59.0 + '@rollup/rollup-win32-ia32-msvc': 4.59.0 + '@rollup/rollup-win32-x64-gnu': 4.59.0 + '@rollup/rollup-win32-x64-msvc': 4.59.0 + fsevents: 2.3.3 + + roughjs@4.6.6: + dependencies: + hachure-fill: 0.5.2 + path-data-parser: 0.1.0 + points-on-curve: 0.2.0 + points-on-path: 0.2.1 + + rw@1.3.3: {} + + safer-buffer@2.1.2: {} + + scheduler@0.27.0: {} + + semver@6.3.1: {} + + semver@7.7.4: {} + + shebang-command@2.0.0: + dependencies: + shebang-regex: 3.0.0 + + shebang-regex@3.0.0: {} + + shiki@3.23.0: + dependencies: + '@shikijs/core': 3.23.0 + '@shikijs/engine-javascript': 3.23.0 + '@shikijs/engine-oniguruma': 3.23.0 + '@shikijs/langs': 3.23.0 + '@shikijs/themes': 3.23.0 + '@shikijs/types': 3.23.0 + '@shikijs/vscode-textmate': 10.0.2 + '@types/hast': 3.0.4 + + source-map-js@1.2.1: {} + + space-separated-tokens@2.0.2: {} + + streamdown@2.3.0(react-dom@19.2.4(react@19.2.4))(react@19.2.4): + dependencies: + clsx: 2.1.1 + hast-util-to-jsx-runtime: 2.3.6 + html-url-attributes: 3.0.1 + marked: 17.0.3 + react: 19.2.4 + react-dom: 19.2.4(react@19.2.4) + rehype-harden: 1.1.8 + rehype-raw: 7.0.0 + rehype-sanitize: 6.0.0 + remark-gfm: 4.0.1 + remark-parse: 11.0.0 + remark-rehype: 11.1.2 + remend: 1.2.1 + tailwind-merge: 3.5.0 + unified: 11.0.5 + unist-util-visit: 5.1.0 + unist-util-visit-parents: 6.0.2 + transitivePeerDependencies: + - supports-color + + stringify-entities@4.0.4: + dependencies: + character-entities-html4: 2.1.0 + character-entities-legacy: 3.0.0 + + strip-json-comments@3.1.1: {} + + style-to-js@1.1.21: + dependencies: + style-to-object: 1.0.14 + + style-to-object@1.0.14: + dependencies: + inline-style-parser: 0.2.7 + + stylis@4.3.6: {} + + supports-color@7.2.0: + dependencies: + has-flag: 4.0.0 + + swr@2.4.1(react@19.2.4): + dependencies: + dequal: 2.0.3 + react: 19.2.4 + use-sync-external-store: 1.6.0(react@19.2.4) + + tailwind-merge@3.5.0: {} + + tailwindcss@4.2.1: {} + + tapable@2.3.0: {} + + throttleit@2.1.0: {} + + tinyexec@1.0.2: {} + + tinyglobby@0.2.15: + dependencies: + fdir: 6.5.0(picomatch@4.0.3) + picomatch: 4.0.3 + + trim-lines@3.0.1: {} + + trough@2.2.0: {} + + ts-api-utils@2.4.0(typescript@5.9.3): + dependencies: + typescript: 5.9.3 + + ts-dedent@2.2.0: {} + + tslib@2.8.1: {} + + type-check@0.4.0: + dependencies: + prelude-ls: 1.2.1 + + typescript-eslint@8.56.1(eslint@9.39.3(jiti@2.6.1))(typescript@5.9.3): + dependencies: + '@typescript-eslint/eslint-plugin': 8.56.1(@typescript-eslint/parser@8.56.1(eslint@9.39.3(jiti@2.6.1))(typescript@5.9.3))(eslint@9.39.3(jiti@2.6.1))(typescript@5.9.3) + '@typescript-eslint/parser': 8.56.1(eslint@9.39.3(jiti@2.6.1))(typescript@5.9.3) + '@typescript-eslint/typescript-estree': 8.56.1(typescript@5.9.3) + '@typescript-eslint/utils': 8.56.1(eslint@9.39.3(jiti@2.6.1))(typescript@5.9.3) + eslint: 9.39.3(jiti@2.6.1) + typescript: 5.9.3 + transitivePeerDependencies: + - supports-color + + typescript@5.9.3: {} + + ufo@1.6.3: {} + + undici-types@7.16.0: {} + + unified@11.0.5: + dependencies: + '@types/unist': 3.0.3 + bail: 2.0.2 + devlop: 1.1.0 + extend: 3.0.2 + is-plain-obj: 4.1.0 + trough: 2.2.0 + vfile: 6.0.3 + + unist-util-find-after@5.0.0: + dependencies: + '@types/unist': 3.0.3 + unist-util-is: 6.0.1 + + unist-util-is@6.0.1: + dependencies: + '@types/unist': 3.0.3 + + unist-util-position@5.0.0: + dependencies: + '@types/unist': 3.0.3 + + unist-util-remove-position@5.0.0: + dependencies: + '@types/unist': 3.0.3 + unist-util-visit: 5.1.0 + + unist-util-stringify-position@4.0.0: + dependencies: + '@types/unist': 3.0.3 + + unist-util-visit-parents@6.0.2: + dependencies: + '@types/unist': 3.0.3 + unist-util-is: 6.0.1 + + unist-util-visit@5.1.0: + dependencies: + '@types/unist': 3.0.3 + unist-util-is: 6.0.1 + unist-util-visit-parents: 6.0.2 + + update-browserslist-db@1.2.3(browserslist@4.28.1): + dependencies: + browserslist: 4.28.1 + escalade: 3.2.0 + picocolors: 1.1.1 + + uri-js@4.4.1: + dependencies: + punycode: 2.3.1 + + use-callback-ref@1.3.3(@types/react@19.2.14)(react@19.2.4): + dependencies: + react: 19.2.4 + tslib: 2.8.1 + optionalDependencies: + '@types/react': 19.2.14 + + use-sidecar@1.1.3(@types/react@19.2.14)(react@19.2.4): + dependencies: + detect-node-es: 1.1.0 + react: 19.2.4 + tslib: 2.8.1 + optionalDependencies: + '@types/react': 19.2.14 + + use-stick-to-bottom@1.1.3(react@19.2.4): + dependencies: + react: 19.2.4 + + use-sync-external-store@1.6.0(react@19.2.4): + dependencies: + react: 19.2.4 + + uuid@11.1.0: {} + + vfile-location@5.0.3: + dependencies: + '@types/unist': 3.0.3 + vfile: 6.0.3 + + vfile-message@4.0.3: + dependencies: + '@types/unist': 3.0.3 + unist-util-stringify-position: 4.0.0 + + vfile@6.0.3: + dependencies: + '@types/unist': 3.0.3 + vfile-message: 4.0.3 + + vite@7.3.1(@types/node@24.11.0)(jiti@2.6.1)(lightningcss@1.31.1): + dependencies: + esbuild: 0.27.3 + fdir: 6.5.0(picomatch@4.0.3) + picomatch: 4.0.3 + postcss: 8.5.8 + rollup: 4.59.0 + tinyglobby: 0.2.15 + optionalDependencies: + '@types/node': 24.11.0 + fsevents: 2.3.3 + jiti: 2.6.1 + lightningcss: 1.31.1 + + vscode-jsonrpc@8.2.0: {} + + vscode-languageserver-protocol@3.17.5: + dependencies: + vscode-jsonrpc: 8.2.0 + vscode-languageserver-types: 3.17.5 + + vscode-languageserver-textdocument@1.0.12: {} + + vscode-languageserver-types@3.17.5: {} + + vscode-languageserver@9.0.1: + dependencies: + vscode-languageserver-protocol: 3.17.5 + + vscode-uri@3.1.0: {} + + web-namespaces@2.0.1: {} + + which@2.0.2: + dependencies: + isexe: 2.0.0 + + word-wrap@1.2.5: {} + + yallist@3.1.1: {} + + yocto-queue@0.1.0: {} + + zod-validation-error@4.0.2(zod@4.3.6): + dependencies: + zod: 4.3.6 + + zod@4.3.6: {} + + zwitch@2.0.4: {} diff --git a/examples/fastapi-vite/frontend/public/vite.svg b/examples/apps/durable_agent_temporal/frontend/public/vite.svg similarity index 100% rename from examples/fastapi-vite/frontend/public/vite.svg rename to examples/apps/durable_agent_temporal/frontend/public/vite.svg diff --git a/examples/apps/durable_agent_temporal/frontend/src/App.tsx b/examples/apps/durable_agent_temporal/frontend/src/App.tsx new file mode 100644 index 00000000..33b66573 --- /dev/null +++ b/examples/apps/durable_agent_temporal/frontend/src/App.tsx @@ -0,0 +1,163 @@ +import { useChat } from "@ai-sdk/react"; +import { DefaultChatTransport, getToolName, isToolUIPart } from "ai"; +import type { UIDataTypes, UIMessage, UIMessagePart, UITools } from "ai"; +import { Fragment, useCallback, useMemo } from "react"; +import type { ReactNode } from "react"; + +import { + Conversation, + ConversationContent, + ConversationEmptyState, + ConversationScrollButton, +} from "@/components/ai-elements/conversation"; +import { + Message, + MessageContent, + MessageResponse, +} from "@/components/ai-elements/message"; +import { + PromptInput, + PromptInputFooter, + PromptInputSubmit, + PromptInputTextarea, +} from "@/components/ai-elements/prompt-input"; +import { + Tool, + ToolContent, + ToolHeader, + ToolInput, + ToolOutput, +} from "@/components/ai-elements/tool"; +import { TooltipProvider } from "@/components/ui/tooltip"; + +// --------------------------------------------------------------------------- +// renderPart -- one message part. +// --------------------------------------------------------------------------- + +function renderPart({ + part, + key, + role, +}: { + part: UIMessagePart; + key: string; + role: UIMessage["role"]; +}): ReactNode { + if (isToolUIPart(part)) { + const toolName = getToolName(part); + const isComplete = part.state === "output-available"; + + return ( + + {part.type === "dynamic-tool" ? ( + + ) : ( + + )} + + + + + + ); + } + + if (part.type === "text") { + return ( + + + {part.text} + + + ); + } + + return null; +} + +// --------------------------------------------------------------------------- +// App +// --------------------------------------------------------------------------- + +export default function App() { + const transport = useMemo( + () => + new DefaultChatTransport({ + api: "/api/chat", + }), + [], + ); + + const { messages, sendMessage, status, stop } = useChat({ transport }); + + const isLoading = status === "submitted" || status === "streaming"; + + const handleSubmit = useCallback( + ({ text }: { text: string }) => { + const prompt = text.trim(); + if (prompt) { + sendMessage({ text: prompt }); + } + }, + [sendMessage], + ); + + return ( + +
+
+
+

durable temporal agent

+
+
+ + + +
+ {messages.length === 0 ? ( + + ) : ( + messages.map((message) => ( + + {message.parts.map((part, partIndex) => + renderPart({ + part, + key: `${message.id}-${partIndex}`, + role: message.role, + }), + )} + + )) + )} +
+
+ +
+ +
+
+ + + +
+ + + +
+
+
+ + ); +} diff --git a/examples/apps/durable_agent_temporal/frontend/src/components/ai-elements/code-block.tsx b/examples/apps/durable_agent_temporal/frontend/src/components/ai-elements/code-block.tsx new file mode 100644 index 00000000..d31eead6 --- /dev/null +++ b/examples/apps/durable_agent_temporal/frontend/src/components/ai-elements/code-block.tsx @@ -0,0 +1,557 @@ +"use client"; + +import type { ComponentProps, CSSProperties, HTMLAttributes } from "react"; +import type { + BundledLanguage, + BundledTheme, + HighlighterGeneric, + ThemedToken, +} from "shiki"; + +import { Button } from "@/components/ui/button"; +import { + Select, + SelectContent, + SelectItem, + SelectTrigger, + SelectValue, +} from "@/components/ui/select"; +import { cn } from "@/lib/utils"; +import { CheckIcon, CopyIcon } from "lucide-react"; +import { + createContext, + memo, + useCallback, + useContext, + useEffect, + useMemo, + useRef, + useState, +} from "react"; +import { createHighlighter } from "shiki"; + +// Shiki uses bitflags for font styles: 1=italic, 2=bold, 4=underline +// biome-ignore lint/suspicious/noBitwiseOperators: shiki bitflag check +const isItalic = (fontStyle: number | undefined) => fontStyle && fontStyle & 1; +// biome-ignore lint/suspicious/noBitwiseOperators: shiki bitflag check +// oxlint-disable-next-line eslint(no-bitwise) +const isBold = (fontStyle: number | undefined) => fontStyle && fontStyle & 2; +const isUnderline = (fontStyle: number | undefined) => + // biome-ignore lint/suspicious/noBitwiseOperators: shiki bitflag check + // oxlint-disable-next-line eslint(no-bitwise) + fontStyle && fontStyle & 4; + +// Transform tokens to include pre-computed keys to avoid noArrayIndexKey lint +interface KeyedToken { + token: ThemedToken; + key: string; +} +interface KeyedLine { + tokens: KeyedToken[]; + key: string; +} + +const addKeysToTokens = (lines: ThemedToken[][]): KeyedLine[] => + lines.map((line, lineIdx) => ({ + key: `line-${lineIdx}`, + tokens: line.map((token, tokenIdx) => ({ + key: `line-${lineIdx}-${tokenIdx}`, + token, + })), + })); + +// Token rendering component +const TokenSpan = ({ token }: { token: ThemedToken }) => ( + + {token.content} + +); + +// Line rendering component +const LineSpan = ({ + keyedLine, + showLineNumbers, +}: { + keyedLine: KeyedLine; + showLineNumbers: boolean; +}) => ( + + {keyedLine.tokens.length === 0 + ? "\n" + : keyedLine.tokens.map(({ token, key }) => ( + + ))} + +); + +// Types +type CodeBlockProps = HTMLAttributes & { + code: string; + language: BundledLanguage; + showLineNumbers?: boolean; +}; + +interface TokenizedCode { + tokens: ThemedToken[][]; + fg: string; + bg: string; +} + +interface CodeBlockContextType { + code: string; +} + +// Context +const CodeBlockContext = createContext({ + code: "", +}); + +// Highlighter cache (singleton per language) +const highlighterCache = new Map< + string, + Promise> +>(); + +// Token cache +const tokensCache = new Map(); + +// Subscribers for async token updates +const subscribers = new Map void>>(); + +const getTokensCacheKey = (code: string, language: BundledLanguage) => { + const start = code.slice(0, 100); + const end = code.length > 100 ? code.slice(-100) : ""; + return `${language}:${code.length}:${start}:${end}`; +}; + +const getHighlighter = ( + language: BundledLanguage, +): Promise> => { + const cached = highlighterCache.get(language); + if (cached) { + return cached; + } + + const highlighterPromise = createHighlighter({ + langs: [language], + themes: ["github-light", "github-dark"], + }); + + highlighterCache.set(language, highlighterPromise); + return highlighterPromise; +}; + +// Create raw tokens for immediate display while highlighting loads +const createRawTokens = (code: string): TokenizedCode => ({ + bg: "transparent", + fg: "inherit", + tokens: code.split("\n").map((line) => + line === "" + ? [] + : [ + { + color: "inherit", + content: line, + } as ThemedToken, + ], + ), +}); + +// Synchronous highlight with callback for async results +export const highlightCode = ( + code: string, + language: BundledLanguage, + // oxlint-disable-next-line eslint-plugin-promise(prefer-await-to-callbacks) + callback?: (result: TokenizedCode) => void, +): TokenizedCode | null => { + const tokensCacheKey = getTokensCacheKey(code, language); + + // Return cached result if available + const cached = tokensCache.get(tokensCacheKey); + if (cached) { + return cached; + } + + // Subscribe callback if provided + if (callback) { + if (!subscribers.has(tokensCacheKey)) { + subscribers.set(tokensCacheKey, new Set()); + } + subscribers.get(tokensCacheKey)?.add(callback); + } + + // Start highlighting in background - fire-and-forget async pattern + getHighlighter(language) + // oxlint-disable-next-line eslint-plugin-promise(prefer-await-to-then) + .then((highlighter) => { + const availableLangs = highlighter.getLoadedLanguages(); + const langToUse = availableLangs.includes(language) ? language : "text"; + + const result = highlighter.codeToTokens(code, { + lang: langToUse, + themes: { + dark: "github-dark", + light: "github-light", + }, + }); + + const tokenized: TokenizedCode = { + bg: result.bg ?? "transparent", + fg: result.fg ?? "inherit", + tokens: result.tokens, + }; + + // Cache the result + tokensCache.set(tokensCacheKey, tokenized); + + // Notify all subscribers + const subs = subscribers.get(tokensCacheKey); + if (subs) { + for (const sub of subs) { + sub(tokenized); + } + subscribers.delete(tokensCacheKey); + } + }) + // oxlint-disable-next-line eslint-plugin-promise(prefer-await-to-then), eslint-plugin-promise(prefer-await-to-callbacks) + .catch((error) => { + console.error("Failed to highlight code:", error); + subscribers.delete(tokensCacheKey); + }); + + return null; +}; + +// Line number styles using CSS counters +const LINE_NUMBER_CLASSES = cn( + "block", + "before:content-[counter(line)]", + "before:inline-block", + "before:[counter-increment:line]", + "before:w-8", + "before:mr-4", + "before:text-right", + "before:text-muted-foreground/50", + "before:font-mono", + "before:select-none", +); + +const CodeBlockBody = memo( + ({ + tokenized, + showLineNumbers, + className, + }: { + tokenized: TokenizedCode; + showLineNumbers: boolean; + className?: string; + }) => { + const preStyle = useMemo( + () => ({ + backgroundColor: tokenized.bg, + color: tokenized.fg, + }), + [tokenized.bg, tokenized.fg], + ); + + const keyedLines = useMemo( + () => addKeysToTokens(tokenized.tokens), + [tokenized.tokens], + ); + + return ( +
+        
+          {keyedLines.map((keyedLine) => (
+            
+          ))}
+        
+      
+ ); + }, + (prevProps, nextProps) => + prevProps.tokenized === nextProps.tokenized && + prevProps.showLineNumbers === nextProps.showLineNumbers && + prevProps.className === nextProps.className, +); + +CodeBlockBody.displayName = "CodeBlockBody"; + +export const CodeBlockContainer = ({ + className, + language, + style, + ...props +}: HTMLAttributes & { language: string }) => ( +
+); + +export const CodeBlockHeader = ({ + children, + className, + ...props +}: HTMLAttributes) => ( +
+ {children} +
+); + +export const CodeBlockTitle = ({ + children, + className, + ...props +}: HTMLAttributes) => ( +
+ {children} +
+); + +export const CodeBlockFilename = ({ + children, + className, + ...props +}: HTMLAttributes) => ( + + {children} + +); + +export const CodeBlockActions = ({ + children, + className, + ...props +}: HTMLAttributes) => ( +
+ {children} +
+); + +export const CodeBlockContent = ({ + code, + language, + showLineNumbers = false, +}: { + code: string; + language: BundledLanguage; + showLineNumbers?: boolean; +}) => { + // Memoized raw tokens for immediate display + const rawTokens = useMemo(() => createRawTokens(code), [code]); + + // Try to get cached result synchronously, otherwise use raw tokens + const [tokenized, setTokenized] = useState( + () => highlightCode(code, language) ?? rawTokens, + ); + + useEffect(() => { + let cancelled = false; + + // Reset to raw tokens when code changes (shows current code, not stale tokens). + // Synchronous setState is intentional here: we want to immediately show cached + // or raw tokens before the async highlighter resolves. + // eslint-disable-next-line react-hooks/set-state-in-effect -- intentional sync reset with cached/raw value + setTokenized(highlightCode(code, language) ?? rawTokens); + + // Subscribe to async highlighting result + highlightCode(code, language, (result) => { + if (!cancelled) { + setTokenized(result); + } + }); + + return () => { + cancelled = true; + }; + }, [code, language, rawTokens]); + + return ( +
+ +
+ ); +}; + +export const CodeBlock = ({ + code, + language, + showLineNumbers = false, + className, + children, + ...props +}: CodeBlockProps) => { + const contextValue = useMemo(() => ({ code }), [code]); + + return ( + + + {children} + + + + ); +}; + +export type CodeBlockCopyButtonProps = ComponentProps & { + onCopy?: () => void; + onError?: (error: Error) => void; + timeout?: number; +}; + +export const CodeBlockCopyButton = ({ + onCopy, + onError, + timeout = 2000, + children, + className, + ...props +}: CodeBlockCopyButtonProps) => { + const [isCopied, setIsCopied] = useState(false); + const timeoutRef = useRef(0); + const { code } = useContext(CodeBlockContext); + + const copyToClipboard = useCallback(async () => { + if (typeof window === "undefined" || !navigator?.clipboard?.writeText) { + onError?.(new Error("Clipboard API not available")); + return; + } + + try { + if (!isCopied) { + await navigator.clipboard.writeText(code); + setIsCopied(true); + onCopy?.(); + timeoutRef.current = window.setTimeout( + () => setIsCopied(false), + timeout, + ); + } + } catch (error) { + onError?.(error as Error); + } + }, [code, onCopy, onError, timeout, isCopied]); + + useEffect( + () => () => { + window.clearTimeout(timeoutRef.current); + }, + [], + ); + + const Icon = isCopied ? CheckIcon : CopyIcon; + + return ( + + ); +}; + +export type CodeBlockLanguageSelectorProps = ComponentProps; + +export const CodeBlockLanguageSelector = ( + props: CodeBlockLanguageSelectorProps, +) => +
+ {children} +
+ + ); + + const withReferencedSources = ( + + {inner} + + ); + + // Always provide LocalAttachmentsContext so children get validated add function + return ( + + {withReferencedSources} + + ); +}; + +export type PromptInputBodyProps = HTMLAttributes; + +export const PromptInputBody = ({ + className, + ...props +}: PromptInputBodyProps) => ( +
+); + +export type PromptInputTextareaProps = ComponentProps< + typeof InputGroupTextarea +>; + +export const PromptInputTextarea = ({ + onChange, + onKeyDown, + className, + placeholder = "What would you like to know?", + ...props +}: PromptInputTextareaProps) => { + const controller = useOptionalPromptInputController(); + const attachments = usePromptInputAttachments(); + const [isComposing, setIsComposing] = useState(false); + + const handleKeyDown: KeyboardEventHandler = useCallback( + (e) => { + // Call the external onKeyDown handler first + onKeyDown?.(e); + + // If the external handler prevented default, don't run internal logic + if (e.defaultPrevented) { + return; + } + + if (e.key === "Enter") { + if (isComposing || e.nativeEvent.isComposing) { + return; + } + if (e.shiftKey) { + return; + } + e.preventDefault(); + + // Check if the submit button is disabled before submitting + const { form } = e.currentTarget; + const submitButton = form?.querySelector( + 'button[type="submit"]', + ) as HTMLButtonElement | null; + if (submitButton?.disabled) { + return; + } + + form?.requestSubmit(); + } + + // Remove last attachment when Backspace is pressed and textarea is empty + if ( + e.key === "Backspace" && + e.currentTarget.value === "" && + attachments.files.length > 0 + ) { + e.preventDefault(); + const lastAttachment = attachments.files.at(-1); + if (lastAttachment) { + attachments.remove(lastAttachment.id); + } + } + }, + [onKeyDown, isComposing, attachments], + ); + + const handlePaste: ClipboardEventHandler = useCallback( + (event) => { + const items = event.clipboardData?.items; + + if (!items) { + return; + } + + const files: File[] = []; + + for (const item of items) { + if (item.kind === "file") { + const file = item.getAsFile(); + if (file) { + files.push(file); + } + } + } + + if (files.length > 0) { + event.preventDefault(); + attachments.add(files); + } + }, + [attachments], + ); + + const handleCompositionEnd = useCallback(() => setIsComposing(false), []); + const handleCompositionStart = useCallback(() => setIsComposing(true), []); + + const controlledProps = controller + ? { + onChange: (e: ChangeEvent) => { + controller.textInput.setInput(e.currentTarget.value); + onChange?.(e); + }, + value: controller.textInput.value, + } + : { + onChange, + }; + + return ( + + ); +}; + +export type PromptInputHeaderProps = Omit< + ComponentProps, + "align" +>; + +export const PromptInputHeader = ({ + className, + ...props +}: PromptInputHeaderProps) => ( + +); + +export type PromptInputFooterProps = Omit< + ComponentProps, + "align" +>; + +export const PromptInputFooter = ({ + className, + ...props +}: PromptInputFooterProps) => ( + +); + +export type PromptInputToolsProps = HTMLAttributes; + +export const PromptInputTools = ({ + className, + ...props +}: PromptInputToolsProps) => ( +
+); + +export type PromptInputButtonTooltip = + | string + | { + content: ReactNode; + shortcut?: string; + side?: ComponentProps["side"]; + }; + +export type PromptInputButtonProps = ComponentProps & { + tooltip?: PromptInputButtonTooltip; +}; + +export const PromptInputButton = ({ + variant = "ghost", + className, + size, + tooltip, + ...props +}: PromptInputButtonProps) => { + const newSize = + size ?? (Children.count(props.children) > 1 ? "sm" : "icon-sm"); + + const button = ( + + ); + + if (!tooltip) { + return button; + } + + const tooltipContent = + typeof tooltip === "string" ? tooltip : tooltip.content; + const shortcut = typeof tooltip === "string" ? undefined : tooltip.shortcut; + const side = typeof tooltip === "string" ? "top" : (tooltip.side ?? "top"); + + return ( + + {button} + + {tooltipContent} + {shortcut && ( + {shortcut} + )} + + + ); +}; + +export type PromptInputActionMenuProps = ComponentProps; +export const PromptInputActionMenu = (props: PromptInputActionMenuProps) => ( + +); + +export type PromptInputActionMenuTriggerProps = PromptInputButtonProps; + +export const PromptInputActionMenuTrigger = ({ + className, + children, + ...props +}: PromptInputActionMenuTriggerProps) => ( + + + {children ?? } + + +); + +export type PromptInputActionMenuContentProps = ComponentProps< + typeof DropdownMenuContent +>; +export const PromptInputActionMenuContent = ({ + className, + ...props +}: PromptInputActionMenuContentProps) => ( + +); + +export type PromptInputActionMenuItemProps = ComponentProps< + typeof DropdownMenuItem +>; +export const PromptInputActionMenuItem = ({ + className, + ...props +}: PromptInputActionMenuItemProps) => ( + +); + +// Note: Actions that perform side-effects (like opening a file dialog) +// are provided in opt-in modules (e.g., prompt-input-attachments). + +export type PromptInputSubmitProps = ComponentProps & { + status?: ChatStatus; + onStop?: () => void; +}; + +export const PromptInputSubmit = ({ + className, + variant = "default", + size = "icon-sm", + status, + onStop, + onClick, + children, + ...props +}: PromptInputSubmitProps) => { + const isGenerating = status === "submitted" || status === "streaming"; + + let Icon = ; + + if (status === "submitted") { + Icon = ; + } else if (status === "streaming") { + Icon = ; + } else if (status === "error") { + Icon = ; + } + + const handleClick = useCallback( + (e: React.MouseEvent) => { + if (isGenerating && onStop) { + e.preventDefault(); + onStop(); + return; + } + onClick?.(e); + }, + [isGenerating, onStop, onClick], + ); + + return ( + + {children ?? Icon} + + ); +}; + +export type PromptInputSelectProps = ComponentProps; + +export const PromptInputSelect = (props: PromptInputSelectProps) => ( + + ); +} + +function InputGroupTextarea({ + className, + ...props +}: React.ComponentProps<"textarea">) { + return ( +