feat(llm): keep images away from text-only models (#1465)

* feat(llm): keep images away from text-only models

Leave view_image out of the tools, replace MCP image blocks with a text note,
and swap agent_browser's screenshot section for text-only guidance when the
run's model does not accept images.

* refactor(llm): disable view_image via is_enabled and gate skill image guidance by modality

* refactor(skills): render opt-in Jinja skills instead of comment markers

* Tweaked skill
This commit is contained in:
ian-at-strix 2026-10-07 16:11:58 -04:00 • committed by GitHub
parent acd64e929c
commit 7f1d148778
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13 changed files with 137 additions and 15 deletions

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@ -375,11 +375,15 @@ def _configure_filesystem_tools(
)
def _make_filesystem_configurator(*, chat_completions: bool, strict_schemas: bool) -> Any:
def _make_filesystem_configurator(
*, chat_completions: bool, strict_schemas: bool, supports_images: bool = True
) -> Any:
def configure(toolset: Any) -> None:
_configure_filesystem_tools(
toolset, chat_completions=chat_completions, strict_schemas=strict_schemas
)
if not supports_images:
toolset.view_image.is_enabled = False
return configure
@ -670,6 +674,7 @@ def build_strix_agent(
system_prompt_context: dict[str, Any] | None = None,
extra_tools: Sequence[Tool] | None = None,
instructions_override: str | None = None,
supports_images: bool = True,
) -> SandboxAgent[Any]:
"""Build a SandboxAgent for either root or child use.
@ -694,6 +699,7 @@ def build_strix_agent(
is_diff_scoped=is_diff_scoped,
interactive=interactive,
system_prompt_context=system_prompt_context,
supports_images=supports_images,
)
agent_tools = [*_EXTRA_TOOLS, *(extra_tools or [])]
@ -733,6 +739,7 @@ def build_strix_agent(
configure_tools=_make_filesystem_configurator(
chat_completions=chat_completions_tools,
strict_schemas=strict_tool_schemas,
supports_images=supports_images,
),
),
Shell(
@ -754,6 +761,7 @@ def make_child_factory(
chat_completions_tools: bool = False,
strict_tool_schemas: bool = True,
system_prompt_context: dict[str, Any] | None = None,
supports_images: bool = True,
) -> Any:
"""Return the runner-owned builder used by ``spawn_child_agent``.
@ -774,6 +782,7 @@ def make_child_factory(
chat_completions_tools=chat_completions_tools,
strict_tool_schemas=strict_tool_schemas,
system_prompt_context=system_prompt_context,
supports_images=supports_images,
)
return _factory

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@ -85,6 +85,7 @@ def render_system_prompt(
interactive: bool = False,
system_prompt_context: dict[str, Any] | None = None,
include_scope: bool = True,
supports_images: bool = True,
) -> str:
"""Render the system prompt. Returns empty string on template failure.
@ -119,7 +120,7 @@ def render_system_prompt(
is_root=is_root,
is_diff_scoped=is_diff_scoped,
)
skill_content = load_skills(skills_to_load)
skill_content = load_skills(skills_to_load, supports_images=supports_images)
env.globals["get_skill"] = lambda name: skill_content.get(name, "")
# Skills every agent of this kind loads come first, so siblings share them

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@ -23,6 +23,7 @@ from strix.config.models import (
StrixProvider,
configure_sdk_api_route,
configure_sdk_model_defaults,
model_supports_images,
supports_strict_tool_schemas,
uses_chat_completions_tool_schema,
)
@ -153,6 +154,7 @@ def _compose_root_instructions_override(
is_diff_scoped: bool,
interactive: bool,
system_prompt_context: dict[str, Any],
supports_images: bool,
) -> str | None:
if root_instructions_override is None:
return None
@ -166,6 +168,7 @@ def _compose_root_instructions_override(
interactive=interactive,
system_prompt_context=system_prompt_context,
include_scope=False,
supports_images=supports_images,
)
return (
f"{base_instructions}\n\n"
@ -265,6 +268,9 @@ async def run_strix_scan(
strict_tool_schemas = supports_strict_tool_schemas(resolved_model)
if not strict_tool_schemas:
logger.info("Sending non-strict tool schemas: %s caps strict tools", resolved_model)
supports_images = model_supports_images(resolved_model)
if not supports_images:
logger.info("Leaving out image tools: %s does not accept images", resolved_model)
if budget_policy not in ("stop", "pause"):
raise ValueError(f"unknown budget_policy: {budget_policy!r}")
@ -468,6 +474,7 @@ async def run_strix_scan(
is_diff_scoped=is_diff_scoped,
interactive=interactive,
system_prompt_context=root_context,
supports_images=supports_images,
)
root_agent = build_strix_agent(
@ -482,6 +489,7 @@ async def run_strix_scan(
strict_tool_schemas=strict_tool_schemas,
system_prompt_context=root_context,
instructions_override=root_instructions,
supports_images=supports_images,
)
if not is_resume:
@ -501,6 +509,7 @@ async def run_strix_scan(
chat_completions_tools=chat_completions_tools,
strict_tool_schemas=strict_tool_schemas,
system_prompt_context=scope_context,
supports_images=supports_images,
)
async def spawn_child_agent(**kwargs: Any) -> dict[str, Any]:
@ -528,6 +537,7 @@ async def run_strix_scan(
"spawn_child_agent": spawn_child_agent,
"scan_targets": build_scan_targets(scan_config),
"max_context_images": settings.runtime.max_context_images,
"supports_images": supports_images,
}
root_session = open_agent_session(root_id, agents_db)

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@ -6,6 +6,7 @@ from pathlib import Path
from typing import TypeGuard
import yaml
from jinja2 import Environment, StrictUndefined
from strix.utils.resource_paths import get_strix_resource_path
@ -13,6 +14,14 @@ from strix.utils.resource_paths import get_strix_resource_path
logger = logging.getLogger(__name__)
_FRONTMATTER_PATTERN = re.compile(r"^---\s*\n(?P<body>.*?)\n---\s*\n", re.DOTALL)
# Only skills with `template: jinja` in their frontmatter are rendered; the rest hold
# literal `{{ }}` payloads.
_SKILL_TEMPLATES = Environment(
autoescape=False, # noqa: S701 - prompts, not HTML
undefined=StrictUndefined,
trim_blocks=True,
lstrip_blocks=True,
)
_INTERNAL_SKILL_CATEGORIES: frozenset[str] = frozenset({"scan_modes", "coordination", "analysis"})
_ROOT_SKILL_CATEGORY = "root"
@ -261,7 +270,7 @@ def _candidate_skill_files(skill_name: str) -> list[Path]:
return _bare_skill_files(skill_name)
def load_skills(skill_names: list[str]) -> dict[str, str]:
def load_skills(skill_names: list[str], *, supports_images: bool = True) -> dict[str, str]:
"""Load skill markdown bodies (frontmatter stripped) by name.
Skill files live at ``strix/skills/<category>/<name>.md`` (or any
@ -291,7 +300,11 @@ def load_skills(skill_names: list[str]) -> dict[str, str]:
continue
var_name = skill_name.split("/")[-1]
_, skill_body = _parse_skill_content(content, file_path)
metadata, skill_body = _parse_skill_content(content, file_path)
if metadata.get("template") == "jinja":
skill_body = _SKILL_TEMPLATES.from_string(skill_body).render(
supports_images=supports_images
)
skill_content[var_name] = skill_body
logger.debug("Loaded skill: %s -> %s", skill_name, var_name)
_track_skill_loaded(var_name, file_path)

View file

@ -1,6 +1,7 @@
---
name: agent_browser
description: agent-browser CLI for headless Chrome via shell. Snapshot-and-ref workflow, click/fill/extract, screenshots, multi-tab, multi-session, network mocking. Pre-installed in the sandbox; invoke via exec_command.
template: jinja
---
@ -260,8 +261,9 @@ only for simple expressions.
### Screenshot
`agent-browser screenshot` writes a PNG to disk in the sandbox. The
shell command alone does **not** put the image into your context —
`agent-browser screenshot` writes a PNG to disk in the sandbox.
{% if supports_images %}
The shell command alone does **not** put the image into your context —
chain it with the SDK ``view_image`` tool to actually see it:
```bash
@ -275,6 +277,12 @@ the full path on stdout — pass that to ``view_image``). If you need a
specific filename, keep it inside that directory or a sibling hidden
dir under ``/workspace``. Never write screenshots to ``/tmp`` —
``view_image`` rejects anything outside the workspace root.
{% else %}
You are running on a text-only model and cannot view images. Screenshots
are only useful to you as a saved file (for example, login evidence).
Drive the page from `snapshot -i` refs, `eval` for any DOM/JS state you
need to read, and `text @ref` / `get text` for content extraction.
{% endif %}
```bash
agent-browser screenshot # path printed on stdout
@ -283,6 +291,7 @@ agent-browser screenshot --full # full scroll height
agent-browser screenshot --annotate # numbered labels + legend keyed to snapshot refs
```
{% if supports_images %}
`--annotate` is designed for multimodal models: each label `[N]` maps
to ref `@eN`. Take the annotated screenshot, then ``view_image`` it,
and you can correlate visual layout with snapshot refs.
@ -294,10 +303,10 @@ layout questions, captchas, custom widgets where the accessibility
tree is incomplete).
If ``view_image`` errors back at you (rejected image, "vision not
supported", or similar), you are running on a text-only model — stop
calling it and stop taking screenshots. Drive the page entirely from
`snapshot -i` refs, `eval` for any DOM/JS state you need to read, and
`text @ref` / `get text` for content extraction.
supported", or similar), you can drive the page from `snapshot -i`
refs, `eval` for any DOM/JS state you need to read, and `text @ref`
or `get text` for content extraction.
{% endif %}
### Handle multiple pages via tabs

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@ -24,12 +24,12 @@ async def load_skill(ctx: RunContextWrapper, skills: list[str]) -> str:
Max 5. Names match the bare files under
``strix/skills/<category>/<name>.md``.
"""
del ctx
requested = list(skills or [])
err = validate_requested_skills(requested)
if err:
return f"load_skill: {err}"
contents = load_skills(requested)
context = ctx.context if isinstance(ctx.context, dict) else {}
contents = load_skills(requested, supports_images=context.get("supports_images", True))
if not contents:
return "load_skill: no content loaded for requested skills."
sections = [f"## Skill: {name}\n\n{body}" for name, body in contents.items()]

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@ -288,9 +288,11 @@ async def call_mcp(
"Call search_mcp_tools, then get_mcp_tool_schema."
)
session = await entry.ensure_connected()
context = ctx.context if isinstance(ctx.context, dict) else {}
return await session.dispatch(
tool,
arguments or {},
label=namespaced_tool_name(connection, tool),
result_transform=entry.result_transform,
supports_images=context.get("supports_images", True),
)

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@ -183,7 +183,9 @@ def _build_server(config: McpConnectionConfig) -> BuiltMcpServer:
)
def _mcp_result_to_tool_output(server: MCPServer, result: Any) -> Any:
def _mcp_result_to_tool_output(
server: MCPServer, result: Any, *, supports_images: bool = True
) -> Any:
"""Serialize a ``CallToolResult`` to a tool output, mirroring the agents SDK.
This reproduces the serialization in ``agents.mcp.util.MCPUtil.invoke_mcp_tool``
@ -199,6 +201,13 @@ def _mcp_result_to_tool_output(server: MCPServer, result: Any) -> Any:
for item in result.content:
if item.type == "text":
outputs.append({"type": "text", "text": item.text})
elif item.type == "image" and not supports_images:
outputs.append(
{
"type": "text",
"text": f"[{item.mimeType} image omitted: this model cannot view images]",
}
)
elif item.type == "image":
outputs.append(
{"type": "image", "image_url": f"data:{item.mimeType};base64,{item.data}"}
@ -217,6 +226,7 @@ async def dispatch_mcp_call(
*,
label: str,
result_transform: ResultTransform | None = None,
supports_images: bool = True,
) -> Any:
"""Run one MCP tool call and convert its result to a tool output.
@ -235,7 +245,7 @@ async def dispatch_mcp_call(
result = await server.call_tool(tool_name, arguments)
if result_transform is not None:
return result_transform(label, result.model_dump(mode="json"))
tool_output = _mcp_result_to_tool_output(server, result)
tool_output = _mcp_result_to_tool_output(server, result, supports_images=supports_images)
if getattr(result, "isError", False):
return _errored_tool_output(tool_output)
return tool_output

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@ -365,6 +365,7 @@ class SupervisedMcpSession:
*,
label: str,
result_transform: ResultTransform | None = None,
supports_images: bool = True,
) -> Any:
"""Run one tool call with bounded retries for transient session failures.
@ -382,6 +383,7 @@ class SupervisedMcpSession:
arguments,
label=label,
result_transform=result_transform,
supports_images=supports_images,
)
outcome = await self._run_job(job, phase="call")

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@ -115,3 +115,15 @@ def test_function_tools_are_result_bounded() -> None:
by_name = {t.name: t for t in agent.tools}
assert getattr(by_name["think"], "_strix_bounded", False) is True
@pytest.mark.parametrize(("supports_images", "has_view_image"), [(True, True), (False, False)])
def test_view_image_is_left_out_for_text_only_models(
supports_images: bool, has_view_image: bool
) -> None:
agent = factory.build_strix_agent(is_root=True, supports_images=supports_images)
filesystem = agent.capabilities[0]
filesystem.bind(cast("Any", object()))
view_image = next(tool for tool in filesystem.tools() if tool.name == "view_image")
assert cast("FunctionTool", view_image).is_enabled is has_view_image

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@ -18,7 +18,7 @@ from typing import TYPE_CHECKING, Any
import pytest
from agents.mcp import MCPServer, MCPServerStdio, MCPServerStreamableHttp
from agents.tool_context import ToolContext
from mcp.types import CallToolResult, TextContent
from mcp.types import CallToolResult, ImageContent, TextContent
from mcp.types import Tool as MCPTool
from pydantic import ValidationError
@ -884,6 +884,40 @@ async def test_call_mcp_flags_an_errored_result_failed_for_the_tui() -> None:
assert out == {"type": "text", "text": "boom:read_file", "success": False}
@pytest.mark.asyncio
async def test_call_mcp_replaces_images_for_a_text_only_model() -> None:
class _ImageServer(FakeMCPServer):
async def call_tool(
self,
tool_name: str,
arguments: dict[str, Any] | None,
meta: dict[str, Any] | None = None,
) -> CallToolResult:
return CallToolResult(
content=[
TextContent(type="text", text="shot"),
ImageContent(type="image", data="aGk=", mimeType="image/png"),
]
)
registry = McpRegistry()
registry.add(
name="fs", server=_ImageServer("fs", [_mcp_tool("shot")]), purpose=None, tool_count=1
)
ctx = _ctx(registry)
args = json.dumps({"connection": "fs", "tool": "shot"})
out = await call_mcp.on_invoke_tool(ctx, args)
assert out[1] == {"type": "image", "image_url": "data:image/png;base64,aGk="}
ctx.context["supports_images"] = False
out = await call_mcp.on_invoke_tool(ctx, args)
assert out == [
{"type": "text", "text": "shot"},
{"type": "text", "text": "[image/png image omitted: this model cannot view images]"},
]
# --- generic MCP tools are the only MCP surface every agent gets -------------

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@ -287,6 +287,15 @@ def test_requested_skills_follow_the_shared_prefix() -> None:
assert "<xss>" in xss.split("<cache_point>")[1]
def test_text_only_prompt_drops_screenshot_guidance() -> None:
assert "view_image" in render_system_prompt(include_scope=False)
prompt = render_system_prompt(include_scope=False, supports_images=False)
assert "view_image" not in prompt
assert "text-only model and cannot view images" in prompt
assert "<!--" not in prompt
def test_scope_is_sent_as_its_own_system_message_on_cache_point_routes() -> None:
settings = make_model_settings(None, model_name="anthropic/claude-sonnet-5-5")
prompt = render_system_prompt(

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@ -70,6 +70,17 @@ def test_registered_dir_adds_new_skill(tmp_path: Path) -> None:
assert load_skills(["widget"]) == {"widget": "widget body"}
def test_only_jinja_skills_are_rendered(tmp_path: Path) -> None:
body = "{% if supports_images %}\nlook\n{% else %}\nread\n{% endif %}\n"
_write_skill(tmp_path, "extra", "plain", body)
_write_skill(tmp_path, "extra", "templated", f"---\ntemplate: jinja\n---\n{body}")
register_skill_dir(tmp_path)
assert load_skills(["plain"]) == {"plain": body}
assert load_skills(["templated"]) == {"templated": "look\n"}
assert load_skills(["templated"], supports_images=False) == {"templated": "read\n"}
def test_available_skill_includes_frontmatter_description(tmp_path: Path) -> None:
_write_skill(
tmp_path,