mirror of
https://github.com/pewdiepie-archdaemon/odysseus.git
synced 2026-10-06 23:12:22 +02:00
repair broad web research recovery
This commit is contained in:
+112
-19
@@ -881,6 +881,21 @@ def contentless_final_response(content):
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))
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def incomplete_broad_web_answer(content, user_text):
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"""Reject a fragmentary answer to a broad current-information request."""
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request = str(user_text or '')
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if not (
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re.search(r'\b(?:latest|recent|current|today(?:\'s)?)\b', request, re.I)
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and re.search(r'\b(?:info(?:rmation)?|news|nees|updates?)\b', request, re.I)
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):
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return False
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answer = re.sub(r'https?://\S+', ' ', str(content or '')).strip()
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words = re.findall(r"[A-Za-z0-9][A-Za-z0-9'’-]*", answer)
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# A broad briefing cannot be fulfilled by one headline fragment. This is
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# intentionally inapplicable to narrow quick-fact searches.
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return len(words) < 25
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def progressive_thinking_for_turn(model, offered_schemas):
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"""Use Qwen reasoning only when this turn has no Odysseus tool surface."""
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@@ -3749,6 +3764,7 @@ async def stream_preview(*, endpoint_url, model, messages, headers, turn_contrac
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budget_completion_attempted = False
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answer_recovery_attempted = False
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force_no_tools_next_round = False
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force_web_search_next_round = False
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suggestion_retry_required = False
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suggestion_retry_attempted = False
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media_detail_nudge_sent = False
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@@ -3918,6 +3934,20 @@ async def stream_preview(*, endpoint_url, model, messages, headers, turn_contrac
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}
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if research_choice is not None:
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request['tool_choice'] = research_choice
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if force_web_search_next_round:
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web_search_name = next(
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(
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schema['function']['name'] for schema in round_offered
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if canonical(schema['function']['name']) == 'web_search'
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),
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None,
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)
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if web_search_name:
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request['tool_choice'] = {
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'type': 'function',
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'function': {'name': web_search_name},
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}
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force_web_search_next_round = False
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pending, content = {}, ''
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async with preview_model_response(client, endpoint_url, headers, request, context_recovery) as response:
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response.raise_for_status()
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@@ -3992,6 +4022,31 @@ async def stream_preview(*, endpoint_url, model, messages, headers, turn_contrac
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})
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yield event({'type': 'completion_recovery', 'reason': 'contentless_answer'})
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continue
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if (
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successful_web_searches
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and incomplete_broad_web_answer(content, direct_user_text)
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and not answer_recovery_attempted
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and round_number < round_limit
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):
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answer_recovery_attempted = True
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force_no_tools_next_round = True
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replace_streamed_draft_on_finish = True
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history.pop()
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history.append({
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'role': 'user', '_harness_control': True,
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'content': (
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'Completion check: the draft is only a fragment and does not '
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'answer the broad current-information request. Using the Web '
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'evidence already gathered, provide a complete useful briefing '
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'with the main findings, source attribution, and any evidence '
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'limitations. Do not call another tool.'
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),
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})
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yield event({
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'type': 'completion_recovery',
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'reason': 'incomplete_research_answer',
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})
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continue
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if artifact_body_handoff_target:
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target = artifact_body_handoff_target
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artifact_body_handoff_target = ''
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@@ -4618,7 +4673,16 @@ async def stream_preview(*, endpoint_url, model, messages, headers, turn_contrac
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'again. Retrieve the strongest authoritative result with web_fetch, '
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'then answer every requested fact, comparison, and caveat with source URLs.'
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)
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if not failed and canonical(actual_tool) in {'web_fetch', 'private_browser'}:
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browser_access_blocked = (
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canonical(actual_tool) == 'private_browser'
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and not failed
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and browser_observation_access_blocked(output)
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)
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if (
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not failed
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and canonical(actual_tool) in {'web_fetch', 'private_browser'}
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and not browser_access_blocked
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):
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successful_web_retrievals += 1
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for source_url in retrieved_source_urls(args):
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if source_url not in retrieved_web_sources:
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@@ -4641,33 +4705,62 @@ async def stream_preview(*, endpoint_url, model, messages, headers, turn_contrac
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if (
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canonical(actual_tool) == 'private_browser'
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and not failed
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and browser_observation_access_blocked(output)
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and browser_access_blocked
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and any(
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canonical(schema['function']['name']) == 'web_fetch'
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for schema in offered
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)
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):
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suppressed_tool_until_round['private_browser'] = round_number + 1
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browser_url = str(
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args.get('url') or args.get('target_url') or browser_current_url or ''
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).strip().rstrip('/')
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if browser_url and browser_url in static_fetch_failed_urls:
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# Both independent transports have now failed for
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# this exact source. Do not bounce between them.
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force_no_tools_next_round = True
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requested_browser_url = private_browser_open_url(args)
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effective_browser_url = private_browser_effective_url(result)
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browser_search_url = requested_browser_url or effective_browser_url
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is_search_engine_navigation = bool(re.search(
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r'https?://(?:[^/]+\.)?(?:google\.[^/]+|bing\.com|duckduckgo\.com)'
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r'/(?:search|sorry|html|lite|\?)',
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browser_search_url,
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re.I,
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)) or bool(re.search(
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r'https?://(?:[^/]+\.)?google\.[^/]+/sorry/',
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effective_browser_url,
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re.I,
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))
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has_native_search = any(
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canonical(schema['function']['name']) == 'web_search'
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for schema in offered
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)
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if is_search_engine_navigation and has_native_search:
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force_web_search_next_round = True
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round_recovery_messages.append(
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'Both static fetch and rendered browser access failed for this '
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'same URL. Do not retry either path; briefly report the source '
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'access limitation without inventing article content.'
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'The public search-engine browser page returned a CAPTCHA, not '
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'evidence. Use the native web_search tool now with the underlying '
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'research query; do not retry or fetch the search-engine page.'
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)
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yield event({
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'type': 'tool_loop_recovery',
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'reason': 'browser_search_blocked_fallback',
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})
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else:
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# A CAPTCHA is transport output, not article
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# evidence. Try the independent static reader once.
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round_recovery_messages.append(
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'The browser returned only an access block or CAPTCHA, not page '
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'content. Retry the same known URL once with web_fetch; if that '
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'also fails, report the limitation without inventing content.'
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)
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browser_url = str(
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args.get('url') or args.get('target_url') or browser_current_url or ''
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).strip().rstrip('/')
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if browser_url and browser_url in static_fetch_failed_urls:
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# Both independent transports have now failed for
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# this exact source. Do not bounce between them.
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force_no_tools_next_round = True
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round_recovery_messages.append(
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'Both static fetch and rendered browser access failed for this '
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'same URL. Do not retry either path; briefly report the source '
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'access limitation without inventing article content.'
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)
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else:
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# A CAPTCHA is transport output, not article
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# evidence. Try the independent static reader once.
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round_recovery_messages.append(
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'The browser returned only an access block or CAPTCHA, not page '
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'content. Retry the same known URL once with web_fetch; if that '
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'also fails, report the limitation without inventing content.'
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)
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if (
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canonical(actual_tool) == 'web_fetch'
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and failed
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@@ -3962,6 +3962,14 @@ def requested_capabilities(message: str, history: Iterable = (), *, active_docum
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# route to scheduled tasks). Keep the whole read-only web family so a
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# weak search can recover through fetch/browser without schema growth.
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return frozenset({"search_browser"})
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if (
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re.search(r"\b(?:latest|recent|current|today(?:'s)?)\b", text, re.I)
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and re.search(r"\b(?:info(?:rmation)?|news|nees|updates?)\b", text, re.I)
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):
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# Broad current-information requests still require live Web evidence.
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# Keep the common ``nees`` typo because a missed route leaves the model
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# with no way to answer and encourages it to ask unnecessary questions.
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return frozenset({"search_browser"})
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if (
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len(concrete_urls) >= 2
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and re.search(r"\b(?:open|fetch|read|retrieve|check|use)\b", text, re.I)
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@@ -1152,6 +1152,79 @@ async def test_stream_bounds_research_to_two_searches_fetch_then_synthesis(monke
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assert any('Complete evidence-grounded answer' in chunk for chunk in raw)
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@pytest.mark.asyncio
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async def test_stream_retries_an_obviously_truncated_broad_web_answer(monkeypatch):
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"""A successful search must not end in a fragmentary headline stub."""
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import src.clean_agent_preview as module
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packets = iter([
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{'choices': [{'delta': {'tool_calls': [{
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'index': 0, 'id': 'search-1', 'function': {
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'name': 'web_search',
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'arguments': json.dumps({'query': 'latest AI news'}),
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},
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}]}}]},
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{'choices': [{'delta': {'content': 'Current AI news includes reports about U.'}}]},
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{'choices': [{'delta': {'content': (
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'Here is a fuller evidence-based briefing covering the major current AI '
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'developments, what each source actually reports, and the limits of the '
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'available evidence. Source: https://example.org/ai-news'
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)}}]},
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])
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requests = []
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class Response:
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def __init__(self, payload): self.payload = payload
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async def __aenter__(self): return self
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async def __aexit__(self, *args): pass
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def raise_for_status(self): pass
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async def aiter_lines(self):
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yield 'data: ' + json.dumps(self.payload)
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yield 'data: [DONE]'
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class Client:
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def __init__(self, **kwargs): pass
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async def __aenter__(self): return self
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async def __aexit__(self, *args): pass
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def stream(self, *args, **kwargs):
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requests.append(kwargs['json'])
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return Response(next(packets))
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async def execute(block, **kwargs):
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return 'web_search', {
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'output': '[1] AI News\n https://example.org/ai-news',
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'exit_code': 0,
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'evidence_status': 'available',
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}
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monkeypatch.setattr(module.httpx, 'AsyncClient', Client)
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monkeypatch.setattr(module, 'execute_tool_block', execute)
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schema = next(
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s for s in FUNCTION_TOOL_SCHEMAS if s['function']['name'] == 'web_search'
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)
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contract = resolve_full_inventory_contract(schemas=[schema], policy=ToolPolicy())
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raw = [chunk async for chunk in stream_preview(
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endpoint_url='http://test', model='test',
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messages=[{'role': 'user', 'content': 'Latest news in AI?'}],
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headers={}, turn_contract=contract, session_id='test', owner='test',
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disabled_tools=set(), tool_policy=ToolPolicy(), max_rounds=3,
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)]
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events = [json.loads(chunk[6:]) for chunk in raw if '[DONE]' not in chunk]
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assert len(requests) == 3
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assert 'tools' not in requests[2]
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assert any(
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event.get('type') == 'completion_recovery'
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and event.get('reason') == 'incomplete_research_answer'
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for event in events
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)
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assert any(
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event.get('type') == 'final_response'
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and 'fuller evidence-based briefing' in event.get('content', '')
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for event in events
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)
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def test_task_renderer_honors_few_and_filters_confirmed_morning_schedule():
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from src.clean_agent_preview import tasks_terminal_response
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raw = {"response": "Found 3 tasks:\n"
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@@ -3886,6 +3959,103 @@ async def test_failed_static_fetch_recovers_once_through_rendered_browser(monkey
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assert any('blocked both access methods' in event.get('delta', '') for event in events)
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@pytest.mark.asyncio
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async def test_blocked_search_engine_browser_forces_native_web_search(monkeypatch):
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import src.clean_agent_preview as module
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responses = iter([
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{'choices': [{'delta': {'tool_calls': [{
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'index': 0, 'id': 'browser-1',
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'function': {
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'name': 'private_browser',
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'arguments': json.dumps({
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'action': 'open',
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'url': 'https://www.google.com/search?q=latest+AI+news',
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}),
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},
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}]}}]},
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{'choices': [{'delta': {'tool_calls': [{
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'index': 0, 'id': 'search-1',
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'function': {
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'name': 'web_search',
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'arguments': json.dumps({'query': 'latest AI news'}),
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},
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}]}}]},
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{'choices': [{'delta': {'content': (
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'Recent AI developments include new model releases and policy updates. '
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'The search results identify the relevant primary sources and dates for each item, '
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'including publication details, concrete findings, and links readers can inspect '
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'for the full context behind each development.'
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)}}]},
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])
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requests = []
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class Response:
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def __init__(self, payload): self.payload = payload
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async def __aenter__(self): return self
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async def __aexit__(self, *args): pass
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def raise_for_status(self): pass
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async def aiter_lines(self):
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yield 'data: ' + json.dumps(self.payload)
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yield 'data: [DONE]'
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class Client:
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def __init__(self, **kwargs): pass
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async def __aenter__(self): return self
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async def __aexit__(self, *args): pass
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def stream(self, *args, **kwargs):
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requests.append(kwargs['json'])
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return Response(next(responses))
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executions = []
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async def execute(block, **kwargs):
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executions.append(block.tool_type)
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if block.tool_type == 'private_browser':
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return 'private_browser', {
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'output': json.dumps({
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'url': 'https://www.google.com/sorry/index?continue=search',
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'text': 'Our systems have detected unusual traffic. Complete the reCAPTCHA.',
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}),
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'exit_code': 0,
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}
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return 'web_search', {
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'output': json.dumps({'results': [{
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'title': 'AI update', 'url': 'https://example.com/ai',
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'snippet': 'A dated current report.',
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}]}),
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'exit_code': 0,
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}
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monkeypatch.setattr(module.httpx, 'AsyncClient', Client)
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monkeypatch.setattr(module, 'execute_tool_block', execute)
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schemas = [
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schema for schema in FUNCTION_TOOL_SCHEMAS
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if schema['function']['name'] in {'web_search', 'web_fetch', 'private_browser'}
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]
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contract = replace(
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resolve_full_inventory_contract(schemas=schemas, policy=ToolPolicy()),
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routing_experiment='recent_model_choice',
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)
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raw = [chunk async for chunk in stream_preview(
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endpoint_url='http://test', model='test',
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messages=[{'role': 'user', 'content': 'Open browser and find the latest AI news.'}],
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headers={}, turn_contract=contract, session_id='test', owner='test',
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disabled_tools=set(), tool_policy=ToolPolicy(), max_rounds=4,
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)]
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assert executions == ['private_browser', 'web_search']
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assert requests[1]['tool_choice'] == {
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'type': 'function', 'function': {'name': 'web_search'},
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}
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events = [json.loads(chunk[6:]) for chunk in raw if '[DONE]' not in chunk]
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assert any(
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event.get('type') == 'tool_loop_recovery'
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and event.get('reason') == 'browser_search_blocked_fallback'
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for event in events
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)
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@pytest.mark.asyncio
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async def test_native_stream_reserves_remaining_budget_for_required_artifact(monkeypatch):
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import src.clean_agent_preview as module
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@@ -28,6 +28,12 @@ def resolve(capabilities=(), *, schemas=FUNCTION_TOOL_SCHEMAS, policy=None, requ
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warm_tools=warm_tools)
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def test_latest_topic_info_and_common_news_typo_route_to_web_search():
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"""Broad current-info prompts must not silently lose the Web surface."""
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for prompt in ("What's latest AI info?", "What's latest AI nees?"):
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assert requested_capabilities(prompt) == frozenset({"search_browser"})
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def test_successfully_used_tool_stays_offered_when_next_turn_routes_elsewhere():
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contract = resolve(
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{"notes"},
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