feat: add agentic video analysis and clarify action results

Report device actions as dispatched and preserve full failure details. Route
Flash through McpActionExecutor and use ToolFailure across helper tools and
agent loops instead of inferring failure from response text.

Require model-provided descriptions for coordinate targets. Keep observed
element metadata separate from those descriptions in safety checks, visual
summaries, history, and frontend labels.

Add Gemini Interactions API video analysis with configurable processing mode,
chunk size, and timeouts. Centralize Google provider capabilities and token
usage normalization, and update google-genai to 2.22.0.

Preserve system instructions on follow-up interactions, replan pending chunks
when falling back to static processing, and reject unanswered native video
and audio segments instead of caching placeholder results. Keep helper-tool
failure status intact through history tools and committee calls.

Validation: 1,762 Python unit tests passed (3 skipped), 40 frontend formatter
tests passed, and the production UI build completed. Ruff lint, formatting,
the quality ratchet, and git diff checks passed.
This commit is contained in:
somew1nd committed 2026-09-08 17:05:54 -07:00
1 parent 611d1a0947
commit a45daf23f8
120 files changed
+6301 -1710

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@@ -36,7 +36,10 @@ from langchain_core.messages import (
)
from artemis.agents.video_analyzer import video_analyzer as _va
from artemis.agents.video_analyzer.reliability import classify_video_failure
from artemis.agents.video_analyzer.reliability import (
SubAgentAnswerExhausted,
classify_video_failure,
)
from artemis.data_engine.trace import CURRENT_TRACE_ID, TraceSpan
from artemis.utils.logger import get_logger
@@ -218,29 +221,33 @@ async def _invoke_universal_with_visual_retry(
def _extract_submit_payload(response) -> tuple[str, str, list]:
"""Pulls summary/analysis/timeline events from a universal model response."""
final_summary = "No summary provided."
final_analysis = "No analysis provided."
timeline_events = []
"""Extract a summary, analysis, and events from the model response.
if getattr(response, "tool_calls", None):
for tc in response.tool_calls:
if tc.get("name") == "submit_answer":
args = tc.get("args", {})
final_summary = (
str(args.get("summary", "")).strip().replace("\n", " ") or final_summary
)
final_analysis = (
str(args.get("analysis", "")).strip().replace("\n", " ") or final_analysis
)
timeline_events = args.get("timeline_events", [])
break
elif getattr(response, "content", None):
text_content = str(response.content).strip()
final_summary = text_content[:200].replace("\n", " ")
final_analysis = text_content
Use the first submit_answer call if its summary is non-empty. Otherwise,
fall back to response text, using its first 200 characters as the summary
and dropping any events from the rejected call. Raise SubAgentAnswerExhausted
if neither source provides an answer.
"""
for tc in getattr(response, "tool_calls", None) or []:
if tc.get("name") != "submit_answer":
continue
args = tc.get("args") or {}
final_summary = str(args.get("summary", "")).strip().replace("\n", " ")
if not final_summary:
break
final_analysis = (
str(args.get("analysis", "")).strip().replace("\n", " ") or "No analysis provided."
)
return final_summary, final_analysis, list(args.get("timeline_events") or [])
return final_summary, final_analysis, timeline_events
raw_content = getattr(response, "content", None)
text_content = str(raw_content).strip() if raw_content else ""
if text_content:
return text_content[:200].replace("\n", " "), text_content, []
raise SubAgentAnswerExhausted(
1, "the model neither called submit_answer with a summary nor replied with text"
)
async def _persist_universal_events(
@@ -361,23 +368,9 @@ async def exec_analyze_audio_universal(
label="Universal audio sub-agent",
force_fallback=force_fallback,
)
final_summary = "No audio summary provided."
final_analysis = "No audio analysis provided."
if getattr(response, "tool_calls", None):
for tc in response.tool_calls:
if tc.get("name") == "submit_answer":
args = tc.get("args", {})
final_summary = (
str(args.get("summary", "")).strip().replace("\n", " ") or final_summary
)
final_analysis = (
str(args.get("analysis", "")).strip().replace("\n", " ") or final_analysis
)
break
elif getattr(response, "content", None):
final_summary = str(response.content)[:200].replace("\n", " ")
final_analysis = str(response.content)
# Same resolution order as the video chunk (raises SubAgentAnswerExhausted
# when the model produced nothing usable); audio has no timeline events.
final_summary, final_analysis, _ = _extract_submit_payload(response)
end_val = end_time if end_time is not None else "unknown"
analyzer._record_blackboard_entry(