264 lines
8.0 KiB
Markdown
264 lines
8.0 KiB
Markdown
# omp-rpc
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Typed Python bindings for the `omp --mode rpc` protocol used by the coding agent.
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This package wraps the newline-delimited JSON RPC transport exposed by the CLI and
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provides:
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- typed command methods for the stable RPC surface
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- typed startup options for common `omp --mode rpc` flags such as thinking level,
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tool selection, prompt appends, provider session IDs, and headless session toggles
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- typed protocol models for state, bash results, compaction, and session stats
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- a process-backed client that manages request correlation over stdio
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- typed per-event listeners plus a typed catch-all notification hook
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- helpers for collecting prompt runs and handling extension UI requests in manual or headless mode
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- typed host-tool helpers so Python RPC owners can expose custom tools with JSON Schema metadata
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## Basic Usage
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```python
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from omp_rpc import RpcClient
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with RpcClient(provider="anthropic", model="claude-sonnet-4-5") as client:
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state = client.get_state()
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print(state.model.id if state.model else "no model")
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turn = client.prompt_and_wait("Reply with just the word hello")
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print(turn.require_assistant_text())
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```
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The wrapper also exposes the common RPC startup flags directly, so scripts do not
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need to build `extra_args` by hand:
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```python
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from omp_rpc import RpcClient
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with RpcClient(
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model="openrouter/anthropic/claude-sonnet-4.6",
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thinking="high",
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no_session=True,
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no_skills=True,
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no_rules=True,
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tools=("read", "edit", "write"),
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append_system_prompt="Focus on reproducible benchmark behavior.",
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) as client:
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print(client.get_state().thinking_level)
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```
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For orchestration hosts, the wrapper also exposes typed event hooks and a simple
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way to seed todos before the first prompt:
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```python
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from omp_rpc import MessageUpdateEvent, RpcClient
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def on_message_update(event: MessageUpdateEvent) -> None:
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assistant_event = event.assistant_message_event
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if assistant_event.get("type") == "text_delta":
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print(assistant_event["delta"], end="", flush=True)
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with RpcClient(model="openrouter/anthropic/claude-sonnet-4.6", no_session=True) as client:
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client.on_message_update(on_message_update)
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client.set_todos(
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[
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"Map the read and edit tool surface.",
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"Exercise the supported edit paths.",
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"Write concrete findings and gaps.",
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]
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)
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client.prompt_and_wait("Evaluate the current tool behavior.")
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```
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`set_todos()` accepts either a flat list of todo strings/items or explicit
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phases, and `get_state().todo_phases` returns the typed current todo state.
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By default the client runs:
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```bash
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omp --mode rpc
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```
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You can also point it at a custom command, which is useful inside this repo while
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developing against the Bun entrypoint:
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```python
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from omp_rpc import RpcClient
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with RpcClient(
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command=[
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"bun",
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"packages/coding-agent/src/cli.ts",
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"--mode",
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"rpc",
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"--provider",
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"anthropic",
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"--model",
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"claude-sonnet-4-5",
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],
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) as client:
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print(client.get_state().session_id)
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```
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## Host-Owned Custom Tools
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RPC hosts can expose custom tools to the agent with JSON Schema metadata. The
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Python helper keeps the wire format simple while still giving the handler a
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typed signature:
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```python
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from typing import TypedDict
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from omp_rpc import RpcClient, host_tool
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class EchoArgs(TypedDict):
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message: str
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def echo_host(args: EchoArgs, context) -> str:
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context.send_update(f"working:{args['message']}")
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return f"host:{args['message']}"
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with RpcClient(
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no_session=True,
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custom_tools=(
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host_tool(
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name="echo_host",
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description="Echo a value from the Python host",
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parameters={
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"type": "object",
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"properties": {"message": {"type": "string"}},
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"required": ["message"],
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"additionalProperties": False,
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},
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execute=echo_host,
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),
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),
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) as client:
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client.prompt_and_wait("Use the echo_host tool with the value hello")
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```
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If you want runtime conversion into a richer Python type, pass `decode=` to
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`host_tool(...)`. That lets you keep the JSON Schema contract on the wire while
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parsing the incoming argument object into a dataclass or model in the handler.
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## Host-Owned URI Schemes
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Hosts can also expose custom URL schemes that behave like virtual files.
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Registered schemes are routed through the agent's `read` (and `write`) tools
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over the same RPC transport — handlers do the actual I/O on the Python side:
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```python
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from omp_rpc import RpcClient, host_uri
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rows: dict[str, str] = {"42": "id=42\nname=Alice\n"}
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def read_row(url: str, _ctx) -> str:
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row_id = url.removeprefix("db://users/")
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return rows[row_id]
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def write_row(url: str, content: str, _ctx) -> None:
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row_id = url.removeprefix("db://users/")
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rows[row_id] = content
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with RpcClient(
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no_session=True,
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host_uris=(
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host_uri(
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scheme="db",
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description="Virtual db row files",
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read=read_row,
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write=write_row,
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),
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),
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) as client:
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client.prompt_and_wait("Read db://users/42 and rewrite it with name=Bob")
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```
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Schemes registered as read-only (no `write=`) reject `write` calls with a
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clear error. The agent's `edit` tool does not target host URIs — hosts that
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want mutation expose `write` and the model uses the `write` tool with the
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full replacement content.
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## Extension UI Requests
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Extensions in RPC mode can ask the host for input. Those requests are available as
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typed `ExtensionUiRequest` instances:
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```python
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request = client.next_ui_request(timeout=5.0)
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if request.method == "confirm":
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client.send_ui_confirmation(request.id, True)
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elif request.method in {"input", "editor"}:
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client.send_ui_value(request.id, "approved")
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```
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For non-interactive scripts, you can install a default headless policy instead of
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handling every request manually:
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```python
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with RpcClient(model="anthropic/claude-sonnet-4-5") as client:
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client.install_headless_ui()
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turn = client.prompt_and_wait("needs ui-safe automation")
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print(turn.assistant_text)
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```
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That helper ignores passive UI notifications (`notify`, `setStatus`, `setWidget`,
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`setTitle`, `set_editor_text`), answers `confirm` with `False`, and cancels
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`select`/`input`/`editor` requests unless you provide explicit values.
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## Error Handling and Retained History
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The client now surfaces more of the transport edge cases that the wire protocol
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allows:
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- id-less `parse` and unknown-command failures are correlated back to the
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waiting request when they can be matched unambiguously
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- late `prompt` / `abort_and_prompt` scheduling failures cause
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`prompt_and_wait()` and `wait_for_idle()` to raise instead of timing out
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- unmatched background error responses are exposed through
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`client.protocol_errors` and `client.on_protocol_error(...)`
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- listener exceptions no longer kill the stdout reader thread; they are exposed
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through `client.listener_errors` and `client.on_listener_error(...)`
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For long-lived hosts, retained event and stderr history is bounded by default:
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```python
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from omp_rpc import RpcClient
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with RpcClient(max_event_history=20_000, max_stderr_chunks=256) as client:
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...
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```
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If a single prompt streams more events than `max_event_history` allows,
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`prompt_and_wait()` raises a clear error so hosts can increase the limit instead
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of silently losing earlier events.
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Prompt lifecycle collection is intentionally single-flight. Only one of
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`prompt_and_wait()`, `wait_for_idle()`, or `collect_events()` may be active at a
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time on a client instance. If a host needs concurrent orchestration, use
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separate `RpcClient` instances instead of overlapping lifecycle waiters on one
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session.
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## Text Helpers
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`assistant_text()` and `message_text()` now return visible text blocks only.
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If a host explicitly needs reasoning text too, use the `*_with_thinking`
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helpers:
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```python
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from omp_rpc import assistant_text, assistant_text_with_thinking
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visible = assistant_text(message)
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full = assistant_text_with_thinking(message)
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```
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## Protocol Reference
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The canonical wire protocol still lives in the repo at
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[`docs/rpc.md`](../../docs/rpc.md).
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