core/cli+config: attach files to a turn with @path mentions

Typing `@shot.png` in the line attaches that picture to the turn — no separate
command — and `@notes.txt` appends the file as text under a `--- @path ---`
header, capped like a tool result with a resumable `truncate_token`.
`@"my shot.png"` is the quoted form, and Tab completes the path after `@`
(directories end in `/`, a name with a space completes quoted).

An image is skipped, with a note naming the key to set, on a model without
`image_in`; a missing or denylisted path is a note too, and the turn still goes.
The default catalogs mark what can take a picture (`deepseek-flash` yes,
`deepseek-v4-pro` no, the OpenAI defaults yes).

`Agent.run` takes the parts, so the turn is stored with its images and shows up
as `[image]` wherever only prose is wanted.
This commit is contained in:
2026-10-21 18:52:05 +08:00
parent e9ee71e853
commit 154509b929
11 changed files with 577 additions and 24 deletions
+14 -4
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@@ -28,6 +28,7 @@ from .directive_checkpoint import (
parse_checkpoint_bands,
)
from .events import UsageEvent
from .images import user_content
from .loop import DEFAULT_MAX_ROUNDS, DEFAULT_MAX_TRUNCATION_CONTINUES, run_chat_loop
from .notices import TRUNCATED_NOTICE_KIND, notice_of_kind
from .todo_nag import (
@@ -41,7 +42,7 @@ from .usage import TokenUsage
if TYPE_CHECKING:
from collections.abc import AsyncIterator, Awaitable, Callable, Sequence
from plyngent.lmproto.openai_compatible.model import AnyAssistantToolCall, AnyChatMessage
from plyngent.lmproto.openai_compatible.model import AnyAssistantToolCall, AnyChatMessage, ChatImagePart
from plyngent.memory import MemoryStore
from .events import AgentEvent
@@ -664,11 +665,20 @@ class ChatAgent:
await self._persist_range(self._persist_from, len(self.messages))
await self._persist_context_usage()
async def run(self, user_text: str) -> AsyncIterator[AgentEvent]:
"""Append a user message (persist immediately), run the tool loop, yield events."""
async def run(
self,
user_text: str,
*,
images: Sequence[ChatImagePart] | None = None,
) -> AsyncIterator[AgentEvent]:
"""Append a user message (persist immediately), run the tool loop, yield events.
*images* ride along with the text as content parts, which is the shape
the model sees an attachment in (see ``agent.images``).
"""
_ = reset_lineno_tracker()
self._ensure_system_prompt()
user_msg = UserChatMessage(content=user_text)
user_msg = UserChatMessage(content=user_content(user_text, images))
self.messages.append(user_msg)
await self._persist(user_msg)
self._persist_from = len(self.messages)
+26 -1
View File
@@ -14,8 +14,19 @@ and over. A larger image has to be resized first.
from __future__ import annotations
import base64
from typing import TYPE_CHECKING
from plyngent.lmproto.openai_compatible.model import ChatImagePart, ChatImageUrl, ImageDetail
from plyngent.lmproto.openai_compatible.model import (
ChatImagePart,
ChatImageUrl,
ChatTextPart,
ImageDetail,
)
if TYPE_CHECKING:
from collections.abc import Sequence
from plyngent.lmproto.openai_compatible.model import ChatContentPart
# Inline payload ceiling for one image (the API allows 32 MiB; see the module docstring).
MAX_INLINE_IMAGE_BYTES = 8 * 1024 * 1024
@@ -74,3 +85,17 @@ def image_part_from_bytes(data: bytes, *, detail: ImageDetail = "auto") -> ChatI
def image_part_from_url(url: str, *, detail: ImageDetail = "auto") -> ChatImagePart:
"""An image part for a public ``http(s)`` URL or an inline ``data:`` URL."""
return ChatImagePart(image_url=ChatImageUrl(url=url, detail=detail))
def user_content(
text: str,
images: Sequence[ChatImagePart] | None = None,
) -> str | list[ChatContentPart]:
"""A user turn's content: the text alone, or a part array when images ride along."""
if not images:
return text
parts: list[ChatContentPart] = []
if text:
parts.append(ChatTextPart(text=text))
parts.extend(images)
return parts
+217
View File
@@ -0,0 +1,217 @@
"""``@path`` mentions in a REPL line: attach the file the line refers to.
A mention starts a whitespace-delimited token, so an e-mail address (`a@b`) is
not one. Both spellings work::
look at @shot.png and @src/plyngent/cli/repl.py
look at @"screens/my shot.png"
The path resolves against the working directory (``~`` expands) and is checked
against the path denylist, like every tool path. What is attached depends on
the file:
- an image (JPEG, PNG, GIF, WebP, sniffed from the bytes) becomes an image part,
so the model sees the picture itself. A model without
``[providers.*.models.*].image_in`` skips it with a note instead of letting
the provider answer 400.
- any other file is read as text and appended to the message under a
``--- @path ---`` header, capped like a tool result; the remainder stays
resumable through the ``truncate_token`` in the marker.
Images and text both keep the typed ``@path`` in the message, so the model can
tell which attachment is which.
"""
from __future__ import annotations
import os
from dataclasses import dataclass, field
from pathlib import Path
from typing import TYPE_CHECKING
from plyngent.agent.budget import DEFAULT_TOOL_RESULT_MAX_CHARS
from plyngent.agent.images import image_part_from_bytes, sniff_image_media_type
from plyngent.tools.truncate_token import truncate_to_memory
if TYPE_CHECKING:
from plyngent.cli.state import ReplState
from plyngent.lmproto.openai_compatible.model import ChatImagePart
MENTION = "@"
# One attached text file is capped like a tool result, and a turn's attachments
# together cannot outgrow this (the message is re-sent on every round).
MAX_MENTION_FILE_CHARS = DEFAULT_TOOL_RESULT_MAX_CHARS
MAX_MENTION_TOTAL_CHARS = 64_000
MAX_PATH_COMPLETIONS = 100
@dataclass(frozen=True, slots=True)
class Mention:
"""One ``@path`` reference as it was typed."""
token: str
path: str
@dataclass(slots=True)
class MentionPayload:
"""One turn's text plus what its mentions attached."""
text: str
images: list[ChatImagePart] = field(default_factory=list)
notes: list[str] = field(default_factory=list)
def parse_mentions(line: str) -> list[Mention]:
"""Every ``@path`` mention in *line*, in the order typed."""
mentions: list[Mention] = []
index = 0
length = len(line)
while index < length:
char = line[index]
if char != MENTION or (index > 0 and not line[index - 1].isspace()):
index += 1
continue
start = index
index += 1
if index < length and line[index] == '"':
end = line.find('"', index + 1)
if end == -1:
# An unterminated quote is still being typed: leave it alone.
break
path = line[index + 1 : end]
index = end + 1
else:
while index < length and not line[index].isspace():
index += 1
path = line[start + 1 : index]
if path and not path.startswith(MENTION):
mentions.append(Mention(token=line[start:index], path=path))
return mentions
def mention_token_for(path: str) -> str:
"""The ``@path`` spelling for *path* (quoted when it holds a space)."""
if any(char.isspace() for char in path):
return f'{MENTION}"{path}"'
return f"{MENTION}{path}"
def resolve_mentions(state: ReplState, line: str) -> MentionPayload:
"""Attach what *line*'s mentions point at; notes say what was skipped."""
payload = MentionPayload(text=line)
mentions = parse_mentions(line)
seen: set[str] = set()
for mention in mentions:
if mention.path in seen:
continue
seen.add(mention.path)
budget = MAX_MENTION_TOTAL_CHARS - (len(payload.text) - len(line))
note = _attach_mention(state, payload, mention, budget)
if note is not None:
payload.notes.append(note)
return payload
def _attach_mention( # noqa: PLR0911 — one early return per rejected file
state: ReplState,
payload: MentionPayload,
mention: Mention,
budget: int,
) -> str | None:
"""Attach one mention; a returned string is a note for the user."""
target = _resolve(state, mention.path)
if isinstance(target, str):
return target
if not target.exists():
return f"{mention.token}: file not found"
if not target.is_file():
return f"{mention.token}: not a file"
data = target.read_bytes()
if sniff_image_media_type(data) is not None:
return _attach_image(state, payload, mention, data)
if b"\x00" in data[:512]:
return f"{mention.token}: binary file skipped (only images and text are attached)"
if budget <= 0:
return f"{mention.token}: skipped, this turn's attachments are at the size cap"
return _attach_text(payload, mention, data, budget)
def _resolve(state: ReplState, path: str) -> Path | str:
"""The absolute path for a mention, or a note when it is denylisted."""
from plyngent.tools.context import bind_instance
from plyngent.tools.workspace import denylist_match
target = Path(path).expanduser()
if not target.is_absolute():
target = Path.cwd() / target
with bind_instance(state.instance_state):
denied = denylist_match(target)
if denied is not None:
return f"@{path}: matches the path denylist pattern {denied!r}"
return target
def _attach_image(
state: ReplState,
payload: MentionPayload,
mention: Mention,
data: bytes,
) -> str | None:
"""Attach an image part, or explain why this turn cannot carry it."""
from plyngent.config.routing import model_config_for
model_config = model_config_for(state.provider, state.model)
if model_config is None or not model_config.image_in:
return (
f"{mention.token}: skipped, model {state.model!r} does not accept image input "
f'(set image_in = true under [providers.{state.provider_name}.models."{state.model}"])'
)
part = image_part_from_bytes(data, detail="auto")
if isinstance(part, str):
return f"{mention.token}: {part.removeprefix('error: ')}"
payload.images.append(part)
return None
def _attach_text(payload: MentionPayload, mention: Mention, data: bytes, budget: int) -> str | None:
"""Append a text file to the message under its own header."""
text = data.decode("utf-8", errors="replace")
# ``truncate_to_memory`` embeds the resumable token and marker itself.
body, token = truncate_to_memory(text, min(MAX_MENTION_FILE_CHARS, budget))
header = f"--- {mention.token} ({len(text)} chars{', truncated' if token is not None else ''}) ---"
payload.text = f"{payload.text}\n\n{header}\n{body}"
return None
def complete_mention_paths(incomplete: str, *, cwd: Path | None = None) -> list[str]:
"""Path candidates for the path part of a mention (directories end in ``/``)."""
base = cwd if cwd is not None else Path.cwd()
prefix = incomplete.rpartition("/")[2]
raw_dir = incomplete[: len(incomplete) - len(prefix)]
directory = Path(raw_dir).expanduser() if raw_dir else Path()
if not directory.is_absolute():
directory = base / directory
try:
entries = sorted(os.scandir(directory), key=lambda entry: entry.name)
except OSError:
return []
completions: list[str] = []
for entry in entries:
if prefix and not entry.name.startswith(prefix):
continue
if not prefix and entry.name.startswith("."):
continue
suffix = "/" if entry.is_dir() else ""
completions.append(f"{raw_dir}{entry.name}{suffix}")
if len(completions) >= MAX_PATH_COMPLETIONS:
break
return completions
def mention_completions(token: str, *, cwd: Path | None = None) -> list[str]:
"""Complete an ``@path`` token (including its ``@``) for readline."""
if not token.startswith(MENTION):
return []
paths = complete_mention_paths(token[len(MENTION) :], cwd=cwd)
return [mention_token_for(path) for path in paths]
+5 -1
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@@ -45,12 +45,16 @@ def build_completer(state: ReplState) -> Callable[[str, int], str | None]:
def completer(text: str, state_index: int) -> str | None:
import readline
from plyngent.cli.mentions import mention_completions
from plyngent.cli.slash import complete_slash_args
buffer = readline.get_line_buffer()
begidx = readline.get_begidx()
# An ``@path`` mention completes files wherever it sits in the line.
if text.startswith("@"):
options = mention_completions(text)
# Completing the first token (command).
if begidx == 0 or (begidx > 0 and buffer[:begidx].strip() == ""):
elif begidx == 0 or (begidx > 0 and buffer[:begidx].strip() == ""):
options = filter_prefix(text, slash_commands())
else:
head = buffer[:begidx].strip()
+15 -8
View File
@@ -34,6 +34,19 @@ def _echo_interrupted() -> None:
click.echo()
async def _send_turn(state: ReplState, text: str) -> None:
"""Send one user turn, attaching whatever its ``@path`` mentions point at."""
from plyngent.cli.mentions import resolve_mentions
payload = resolve_mentions(state, text)
for note in payload.notes:
click.secho(note, fg="yellow")
try:
_ = await run_user_text_with_retries(state.agent, payload.text, images=payload.images or None)
finally:
state.expire_yolo_once()
async def run_repl(state: ReplState) -> None:
"""Interactive chat loop with readline editing, history, and Tab completion."""
setup_readline(state)
@@ -79,16 +92,10 @@ async def run_repl(state: ReplState) -> None:
text = state.pending_user_text
state.pending_user_text = None
_echo_user(text)
try:
_ = await run_user_text_with_retries(state.agent, text)
finally:
state.expire_yolo_once()
await _send_turn(state, text)
continue
_echo_user(entry)
try:
_ = await run_user_text_with_retries(state.agent, entry)
finally:
state.expire_yolo_once()
await _send_turn(state, entry)
except KeyboardInterrupt:
_echo_interrupted()
+4 -2
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@@ -13,10 +13,11 @@ from plyngent.cli.interrupt import install_sigint_router, sigint_cancels
from plyngent.cli.limits import reset_auto_continue_turn
if TYPE_CHECKING:
from collections.abc import AsyncIterator, Callable, Coroutine
from collections.abc import AsyncIterator, Callable, Coroutine, Sequence
from plyngent.agent import AgentEvent
from plyngent.agent.chat import ChatAgent
from plyngent.lmproto.openai_compatible.model import ChatImagePart
# Auto-retry budget after the first failure (10 attempts by default).
DEFAULT_MAX_AUTO_RETRIES = 10
@@ -238,10 +239,11 @@ async def run_user_text_with_retries(
agent: ChatAgent,
text: str,
*,
images: Sequence[ChatImagePart] | None = None,
delays: tuple[float, ...] = DEFAULT_RETRY_DELAYS_SECONDS,
) -> bool:
"""Send a new user message with auto-retry (empty ``delays`` = no auto-retry)."""
return await run_turn_with_retries(agent, starter=lambda: agent.run(text), delays=delays)
return await run_turn_with_retries(agent, starter=lambda: agent.run(text, images=images), delays=delays)
async def retry_pending_with_retries(agent: ChatAgent) -> bool:
+10 -5
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@@ -344,9 +344,9 @@ class ProviderConfig(Struct, tag_field="preset", omit_defaults=True):
def _default_openai_models() -> dict[str, ModelConfig]:
"""Current OpenAI text catalog when TOML omits ``models``."""
return {
"gpt-5.4": ModelConfig(text=True),
"gpt-5.4-mini": ModelConfig(text=True),
"gpt-5.4-nano": ModelConfig(text=True),
"gpt-5.4": ModelConfig(text=True, image_in=True),
"gpt-5.4-mini": ModelConfig(text=True, image_in=True),
"gpt-5.4-nano": ModelConfig(text=True, image_in=True),
}
@@ -382,9 +382,14 @@ class AnthropicProvider(ProviderConfig, tag="anthropic"):
def _default_deepseek_models() -> dict[str, ModelConfig]:
"""Current DeepSeek text catalog when TOML omits ``models``."""
"""Current DeepSeek text catalog when TOML omits ``models``.
Only ``deepseek-flash`` reads pictures (JPEG, PNG, GIF, WebP in a user
message); ``deepseek-v4-pro`` stays text-only, so ``image_in`` is the flag
that decides whether a turn may carry one.
"""
return {
"deepseek-flash": ModelConfig(text=True),
"deepseek-flash": ModelConfig(text=True, image_in=True),
"deepseek-v4-pro": ModelConfig(text=True),
}
+80
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@@ -0,0 +1,80 @@
"""Image parts: format sniffing, data URLs, and the inline size policy."""
from __future__ import annotations
import base64
from plyngent.agent.images import (
MAX_INLINE_IMAGE_BYTES,
image_part_from_bytes,
image_part_from_url,
sniff_image_media_type,
split_data_url,
to_data_url,
user_content,
)
from plyngent.lmproto.openai_compatible.model import ChatImageUrl, ChatTextPart
PNG = base64.b64decode(
"iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAYAAAAfFcSJAAAADUlEQVR42mP8z8BQDwAEhQGAhKmMIQAAAABJRU5ErkJggg=="
)
def test_the_format_is_sniffed_from_the_bytes() -> None:
assert sniff_image_media_type(PNG) == "image/png"
assert sniff_image_media_type(b"\xff\xd8\xff\xe0JFIF") == "image/jpeg"
assert sniff_image_media_type(b"GIF89a....") == "image/gif"
assert sniff_image_media_type(b"RIFF\x00\x00\x00\x00WEBPVP8 ") == "image/webp"
assert sniff_image_media_type(b"not an image") is None
assert sniff_image_media_type(b"") is None
def test_a_data_url_round_trips() -> None:
url = to_data_url("image/png", PNG)
assert url.startswith("data:image/png;base64,")
assert split_data_url(url) == ("image/png", base64.b64encode(PNG).decode("ascii"))
assert split_data_url("https://example.com/a.png") is None
def test_bytes_become_an_image_part_with_a_detail_level() -> None:
part = image_part_from_bytes(PNG, detail="low")
assert not isinstance(part, str)
assert part.image_url.detail == "low"
assert part.image_url.url.startswith("data:image/png;base64,")
def test_non_image_bytes_are_an_error_text() -> None:
result = image_part_from_bytes(b"plain text")
assert isinstance(result, str)
assert "not a JPEG, PNG, GIF, or WebP image" in result
def test_an_oversized_image_is_refused() -> None:
result = image_part_from_bytes(PNG + b"\x00" * (MAX_INLINE_IMAGE_BYTES + 1))
assert isinstance(result, str)
assert "inline limit" in result
def test_a_url_becomes_an_image_part() -> None:
part = image_part_from_url("https://example.com/a.jpg", detail="original")
assert part.image_url == ChatImageUrl(url="https://example.com/a.jpg", detail="original")
def test_user_content_stays_a_string_without_images() -> None:
assert user_content("hello") == "hello"
assert user_content("hello", []) == "hello"
def test_user_content_becomes_a_part_array_with_images() -> None:
part = image_part_from_url("https://example.com/a.jpg")
content = user_content("look", [part])
assert content == [ChatTextPart(text="look"), part]
# An image-only turn sends no empty text part.
assert user_content("", [part]) == [part]
+88
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@@ -0,0 +1,88 @@
"""``@path`` mentions: parsing, token spelling, and Tab completion."""
from __future__ import annotations
from typing import TYPE_CHECKING
from plyngent.cli.mentions import (
complete_mention_paths,
mention_completions,
mention_token_for,
parse_mentions,
)
if TYPE_CHECKING:
from pathlib import Path
def _paths(line: str) -> list[str]:
return [mention.path for mention in parse_mentions(line)]
def test_a_mention_is_a_whitespace_delimited_token() -> None:
assert _paths("look at @shot.png please") == ["shot.png"]
assert _paths("@a.png and @b/c.txt") == ["a.png", "b/c.txt"]
assert _paths("@a.png\n@b.png") == ["a.png", "b.png"]
def test_an_email_address_is_not_a_mention() -> None:
assert _paths("mail me at someone@example.com") == []
def test_a_quoted_mention_may_hold_spaces() -> None:
assert _paths('look at @"screens/my shot.png"') == ["screens/my shot.png"]
assert _paths('@"a b.png" and @c.png') == ["a b.png", "c.png"]
def test_an_unterminated_quote_is_left_alone() -> None:
assert _paths('still typing @"my sh') == []
def test_a_bare_at_sign_is_not_a_mention() -> None:
assert _paths("@ and @@@") == []
def test_a_token_quotes_a_path_with_spaces() -> None:
assert mention_token_for("shot.png") == "@shot.png"
assert mention_token_for("my shot.png") == '@"my shot.png"'
def test_completion_lists_a_directory(tmp_path: Path) -> None:
(tmp_path / "shot.png").write_bytes(b"")
(tmp_path / "screens").mkdir()
completions = complete_mention_paths("sc", cwd=tmp_path)
assert completions == ["screens/"]
def test_completion_continues_through_a_directory(tmp_path: Path) -> None:
(tmp_path / "screens").mkdir()
(tmp_path / "screens" / "shot.png").write_bytes(b"")
assert complete_mention_paths("screens/sh", cwd=tmp_path) == ["screens/shot.png"]
assert complete_mention_paths("screens/", cwd=tmp_path) == ["screens/shot.png"]
def test_completion_hides_dot_files_unless_asked(tmp_path: Path) -> None:
(tmp_path / ".env").write_text("x", encoding="utf-8")
assert complete_mention_paths("", cwd=tmp_path) == []
assert complete_mention_paths(".", cwd=tmp_path) == [".env"]
def test_completion_ignores_a_missing_directory(tmp_path: Path) -> None:
assert complete_mention_paths("nope/x", cwd=tmp_path) == []
def test_completions_keep_the_at_sign_and_quote_spaces(tmp_path: Path) -> None:
(tmp_path / "my shot.png").write_bytes(b"")
(tmp_path / "shots").mkdir()
assert mention_completions("@my", cwd=tmp_path) == ['@"my shot.png"']
assert mention_completions("@shots", cwd=tmp_path) == ["@shots/"]
assert mention_completions("@", cwd=tmp_path) == ['@"my shot.png"', "@shots/"]
def test_mention_completions_ignores_a_plain_word() -> None:
assert mention_completions("shot") == []
+40
View File
@@ -170,6 +170,46 @@ def test_completer_stream_on_off(tmp_path: object, monkeypatch: object) -> None:
assert completer("o", 1) == "off"
def test_completer_path_mentions(tmp_path: object, monkeypatch: object) -> None:
"""An ``@path`` token completes files, wherever it sits in the line."""
import readline
from pathlib import Path
import pytest
assert isinstance(tmp_path, Path)
assert isinstance(monkeypatch, pytest.MonkeyPatch)
(tmp_path / "shot.png").write_bytes(b"")
(tmp_path / "screens").mkdir()
state = _minimal_state(tmp_path)
completer = build_completer(state)
monkeypatch.setattr(readline, "get_line_buffer", lambda: "look at @sh")
monkeypatch.setattr(readline, "get_begidx", lambda: len("look at "))
monkeypatch.chdir(tmp_path)
found = [item for index in range(10) if (item := completer("@sh", index)) is not None]
assert found == ["@shot.png"]
def test_a_plain_word_is_still_a_slash_argument(tmp_path: object, monkeypatch: object) -> None:
"""The mention branch must not swallow ordinary argument completion."""
import readline
from pathlib import Path
import pytest
assert isinstance(tmp_path, Path)
assert isinstance(monkeypatch, pytest.MonkeyPatch)
state = _minimal_state(tmp_path)
completer = build_completer(state)
monkeypatch.setattr(readline, "get_line_buffer", lambda: "/provider r")
monkeypatch.setattr(readline, "get_begidx", lambda: len("/provider "))
assert completer("r", 0) == "remote"
def test_complete_slash_args_from_registry(tmp_path: object) -> None:
from pathlib import Path
+78 -3
View File
@@ -1,14 +1,17 @@
from __future__ import annotations
import base64
from typing import TYPE_CHECKING, Literal, overload
import pytest
import tomlkit
from plyngent.agent import ChatAgent, Notice
from plyngent.cli.mentions import resolve_mentions
from plyngent.cli.repl import _send_turn
from plyngent.cli.slash import handle_slash
from plyngent.cli.state import ReplState
from plyngent.config.models import DatabaseConfig, OpenAIProvider
from plyngent.config.models import DatabaseConfig, ModelConfig, OpenAIProvider
from plyngent.config.store import ConfigStore
from plyngent.lmproto.openai_compatible.model import (
AssistantChatMessage,
@@ -16,6 +19,9 @@ from plyngent.lmproto.openai_compatible.model import (
ChatCompletionChunk,
ChatCompletionResponse,
ChatCompletionsParam,
ChatImagePart,
ChatTextPart,
UserChatMessage,
)
from plyngent.memory import MemoryStore
@@ -24,6 +30,17 @@ if TYPE_CHECKING:
from pathlib import Path
# A real 1x1 PNG: ``/image`` sniffs the format from these bytes.
_PNG = base64.b64decode(
"iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAYAAAAfFcSJAAAADUlEQVR42mP8z8BQDwAEhQGAhKmMIQAAAABJRU5ErkJggg=="
)
def _accept_images(state: ReplState) -> None:
"""Mark the fixture's model as taking pictures (the config default is text-only)."""
state.provider.models[state.model] = ModelConfig(image_in=True)
class DummyClient:
@overload
async def chat_completions(
@@ -543,7 +560,7 @@ async def test_repl_ctrl_c_from_turn_returns_to_prompt(
raise EOFError
return "hello"
async def interrupted_turn(_agent: object, _text: str) -> bool:
async def interrupted_turn(_agent: object, _text: str, **_kwargs: object) -> bool:
raise KeyboardInterrupt
monkeypatch.setattr(repl_mod, "setup_readline", lambda _state: None)
@@ -573,7 +590,7 @@ async def test_repl_second_ctrl_c_after_cancel_returns_to_prompt(
raise EOFError
return reads[calls["reads"] - 1]
async def cancel_turn(_agent: object, _text: str) -> bool:
async def cancel_turn(_agent: object, _text: str, **_kwargs: object) -> bool:
raise KeyboardInterrupt # first Ctrl+C: cancels every turn
def echo_user(text: str) -> None:
@@ -780,3 +797,61 @@ async def test_todos_update_takes_a_listing_number(state: ReplState, capsys: pyt
assert await handle_slash(state, "/todos pop") is True
assert "popped TOP group (first, second)" in capsys.readouterr().out
async def test_a_mention_attaches_the_picture_to_the_turn(state: ReplState, tmp_path: Path) -> None:
_accept_images(state)
shot = tmp_path / "shot.png"
_ = shot.write_bytes(_PNG)
state.agent.stream = False
payload = resolve_mentions(state, f"look at @{shot}")
assert payload.notes == []
assert len(payload.images) == 1
assert payload.text == f"look at @{shot}"
await _send_turn(state, payload.text)
user = next(m for m in state.agent.messages if isinstance(m, UserChatMessage))
assert isinstance(user.content, list)
text_part, image_part = user.content
assert isinstance(text_part, ChatTextPart)
assert text_part.text == f"look at @{shot}"
assert isinstance(image_part, ChatImagePart)
assert image_part.image_url.url.startswith("data:image/png;base64,")
async def test_a_mention_inlines_a_text_file(state: ReplState, tmp_path: Path) -> None:
notes = tmp_path / "notes.txt"
_ = notes.write_text("the deploy needs acme", encoding="utf-8")
payload = resolve_mentions(state, f"read @{notes}")
assert payload.images == []
assert payload.notes == []
assert payload.text.startswith(f"read @{notes}")
assert f"--- @{notes} (21 chars) ---" in payload.text
assert payload.text.endswith("the deploy needs acme")
async def test_a_mention_of_a_missing_file_is_a_note(state: ReplState, tmp_path: Path) -> None:
payload = resolve_mentions(state, "@nope.png is gone")
assert payload.images == []
assert payload.notes == ["@nope.png: file not found"]
assert payload.text == "@nope.png is gone"
async def test_a_picture_mention_is_skipped_for_a_text_only_model(
state: ReplState,
tmp_path: Path,
) -> None:
"""``image_in`` is the gate: a text-only model never receives a picture."""
shot = tmp_path / "shot.png"
_ = shot.write_bytes(_PNG)
payload = resolve_mentions(state, f"@{shot}")
assert payload.images == []
note = payload.notes[0]
assert "does not accept image input" in note
assert "image_in = true" in note