{"parentUuid":null,"isSidechain":true,"promptId":"46a0401e-8f56-4de2-b0db-b1496bc7b94e","agentId":"a313f7db222ad21da","type":"user","message":{"role":"user","content":"In the StageHand project at `/workspace/extra/projects/stagehand`, I need to understand the current state of the Compass demo adapter and what \"Expand Compass gallery capture further / fail closed below min photo count for demos\" means concretely.\n\nPlease read:\n1. Any file matching `*compass*` or `*demo*` in `cli/`, `core/`, or `workflows/`\n2. The relevant test files for the Compass adapter\n3. The CLAUDE.md section about the `--demo` flag\n\nI need to know:\n- What does the Compass adapter currently do? (what photos does it capture, what's the flow)\n- What does \"expand gallery capture\" mean — what's missing?\n- What does \"fail closed below min photo count\" mean — is there currently a min-photo check, or not?\n- Are there existing tests I should know about?\n\nReport concisely in under 300 words."},"uuid":"5ddb8a98-144f-40f1-bd94-27679a7c8f96","timestamp":"2026-07-20T14:01:04.610Z","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"033a4a00-9171-4e08-9a79-6b99f177355d","version":"2.1.128","gitBranch":"HEAD","slug":"mellow-wobbling-swan"}
{"parentUuid":"5ddb8a98-144f-40f1-bd94-27679a7c8f96","isSidechain":true,"agentId":"a313f7db222ad21da","attachment":{"type":"deferred_tools_delta","addedNames":["Monitor","PushNotification","RemoteTrigger","SendMessage","TaskStop","TeamCreate","TeamDelete","TodoWrite","WebFetch","WebSearch","mcp__instagram__analyze_post_comments","mcp__instagram__compare_accounts","mcp__instagram__extract_demographics","mcp__instagram__generate_engagement_report","mcp__instagram__identify_leads","mcp__nanoclaw__add_mcp_server","mcp__nanoclaw__add_reaction","mcp__nanoclaw__ask_user_question","mcp__nanoclaw__cancel_task","mcp__nanoclaw__create_agent","mcp__nanoclaw__edit_message","mcp__nanoclaw__install_packages","mcp__nanoclaw__list_tasks","mcp__nanoclaw__pause_task","mcp__nanoclaw__resume_task","mcp__nanoclaw__schedule_task","mcp__nanoclaw__send_card","mcp__nanoclaw__send_file","mcp__nanoclaw__send_message","mcp__nanoclaw__update_task","mcp__twitter-x__advanced_search_tweets","mcp__twitter-x__bookmark_tweet","mcp__twitter-x__check_follow_relationship","mcp__twitter-x__create_article","mcp__twitter-x__create_tweet","mcp__twitter-x__delete_article","mcp__twitter-x__delete_tweet","mcp__twitter-x__download_space","mcp__twitter-x__favorite_tweet","mcp__twitter-x__follow_user","mcp__twitter-x__get_account_info","mcp__twitter-x__get_article","mcp__twitter-x__get_direct_message_conversation","mcp__twitter-x__get_followers_you_know","mcp__twitter-x__get_home_timeline","mcp__twitter-x__get_list_members","mcp__twitter-x__get_payment_history","mcp__twitter-x__get_space_download","mcp__twitter-x__get_space_info","mcp__twitter-x__get_trend_locations","mcp__twitter-x__get_trends","mcp__twitter-x__get_tweet_detail","mcp__twitter-x__get_tweet_replies","mcp__twitter-x__get_tweet_retweeters","mcp__twitter-x__get_tweet_thread","mcp__twitter-x__get_user_about","mcp__twitter-x__get_user_affiliates","mcp__twitter-x__get_user_followers","mcp__twitter-x__get_user_followers_v2","mcp__twitter-x__get_user_following","mcp__twitter-x__get_user_following_v2","mcp__twitter-x__get_user_info","mcp__twitter-x__get_user_info_by_id","mcp__twitter-x__get_user_likes","mcp__twitter-x__get_user_media","mcp__twitter-x__get_user_mentions","mcp__twitter-x__get_user_tweets","mcp__twitter-x__get_user_tweets_and_replies","mcp__twitter-x__get_user_tweets_complete","mcp__twitter-x__get_verified_followers","mcp__twitter-x__join_community","mcp__twitter-x__list_articles","mcp__twitter-x__list_bookmarks","mcp__twitter-x__list_direct_messages","mcp__twitter-x__publish_article","mcp__twitter-x__recover_account_login_v2","mcp__twitter-x__reset_password_confirm","mcp__twitter-x__reset_password_send_code","mcp__twitter-x__retweet_tweet","mcp__twitter-x__search_bookmarks","mcp__twitter-x__search_users","mcp__twitter-x__send_direct_message","mcp__twitter-x__unbookmark_tweet","mcp__twitter-x__unfollow_user","mcp__twitter-x__unpublish_article","mcp__twitter-x__update_article","mcp__twitter-x__update_avatar","mcp__twitter-x__update_banner","mcp__twitter-x__update_profile","mcp__twitter-x__upload_media","mcp__twitter-x__x_login"],"addedLines":["Monitor","PushNotification","RemoteTrigger","SendMessage","TaskStop","TeamCreate","TeamDelete","TodoWrite","WebFetch","WebSearch","mcp__instagram__analyze_post_comments","mcp__instagram__compare_accounts","mcp__instagram__extract_demographics","mcp__instagram__generate_engagement_report","mcp__instagram__identify_leads","mcp__nanoclaw__add_mcp_server","mcp__nanoclaw__add_reaction","mcp__nanoclaw__ask_user_question","mcp__nanoclaw__cancel_task","mcp__nanoclaw__create_agent","mcp__nanoclaw__edit_message","mcp__nanoclaw__install_packages","mcp__nanoclaw__list_tasks","mcp__nanoclaw__pause_task","mcp__nanoclaw__resume_task","mcp__nanoclaw__schedule_task","mcp__nanoclaw__send_card","mcp__nanoclaw__send_file","mcp__nanoclaw__send_message","mcp__nanoclaw__update_task","mcp__twitter-x__advanced_search_tweets","mcp__twitter-x__bookmark_tweet","mcp__twitter-x__check_follow_relationship","mcp__twitter-x__create_article","mcp__twitter-x__create_tweet","mcp__twitter-x__delete_article","mcp__twitter-x__delete_tweet","mcp__twitter-x__download_space","mcp__twitter-x__favorite_tweet","mcp__twitter-x__follow_user","mcp__twitter-x__get_account_info","mcp__twitter-x__get_article","mcp__twitter-x__get_direct_message_conversation","mcp__twitter-x__get_followers_you_know","mcp__twitter-x__get_home_timeline","mcp__twitter-x__get_list_members","mcp__twitter-x__get_payment_history","mcp__twitter-x__get_space_download","mcp__twitter-x__get_space_info","mcp__twitter-x__get_trend_locations","mcp__twitter-x__get_trends","mcp__twitter-x__get_tweet_detail","mcp__twitter-x__get_tweet_replies","mcp__twitter-x__get_tweet_retweeters","mcp__twitter-x__get_tweet_thread","mcp__twitter-x__get_user_about","mcp__twitter-x__get_user_affiliates","mcp__twitter-x__get_user_followers","mcp__twitter-x__get_user_followers_v2","mcp__twitter-x__get_user_following","mcp__twitter-x__get_user_following_v2","mcp__twitter-x__get_user_info","mcp__twitter-x__get_user_info_by_id","mcp__twitter-x__get_user_likes","mcp__twitter-x__get_user_media","mcp__twitter-x__get_user_mentions","mcp__twitter-x__get_user_tweets","mcp__twitter-x__get_user_tweets_and_replies","mcp__twitter-x__get_user_tweets_complete","mcp__twitter-x__get_verified_followers","mcp__twitter-x__join_community","mcp__twitter-x__list_articles","mcp__twitter-x__list_bookmarks","mcp__twitter-x__list_direct_messages","mcp__twitter-x__publish_article","mcp__twitter-x__recover_account_login_v2","mcp__twitter-x__reset_password_confirm","mcp__twitter-x__reset_password_send_code","mcp__twitter-x__retweet_tweet","mcp__twitter-x__search_bookmarks","mcp__twitter-x__search_users","mcp__twitter-x__send_direct_message","mcp__twitter-x__unbookmark_tweet","mcp__twitter-x__unfollow_user","mcp__twitter-x__unpublish_article","mcp__twitter-x__update_article","mcp__twitter-x__update_avatar","mcp__twitter-x__update_banner","mcp__twitter-x__update_profile","mcp__twitter-x__upload_media","mcp__twitter-x__x_login"],"removedNames":[],"readdedNames":[]},"type":"attachment","uuid":"2949a915-7d77-41c3-8364-3927882e2f34","timestamp":"2026-07-20T14:01:04.612Z","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"033a4a00-9171-4e08-9a79-6b99f177355d","version":"2.1.128","gitBranch":"HEAD","slug":"mellow-wobbling-swan"}
{"parentUuid":"2949a915-7d77-41c3-8364-3927882e2f34","isSidechain":true,"agentId":"a313f7db222ad21da","message":{"model":"claude-haiku-4-5-20251001","id":"msg_011CdDRyHWGT8H9MqNLkQXYv","type":"message","role":"assistant","content":[{"type":"text","text":"I'll systematically explore the StageHand project to understand the Compass demo adapter state."}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":8565,"cache_read_input_tokens":0,"cache_creation":{"ephemeral_5m_input_tokens":8565,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"diagnostics":null},"requestId":"req_011CdDRyGidqV7dqG9xxn2om","attributionAgent":"Explore","type":"assistant","uuid":"239a21ea-228a-41cb-ad7d-d6125c5d6d82","timestamp":"2026-07-20T14:01:06.391Z","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"033a4a00-9171-4e08-9a79-6b99f177355d","version":"2.1.128","gitBranch":"HEAD","slug":"mellow-wobbling-swan"}
{"parentUuid":"239a21ea-228a-41cb-ad7d-d6125c5d6d82","isSidechain":true,"agentId":"a313f7db222ad21da","message":{"model":"claude-haiku-4-5-20251001","id":"msg_011CdDRyHWGT8H9MqNLkQXYv","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Wg79PWw2mNtt6PGCScxcoF","name":"Glob","input":{"pattern":"/workspace/extra/projects/stagehand/cli/**/*compass*"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":8565,"cache_read_input_tokens":0,"cache_creation":{"ephemeral_5m_input_tokens":8565,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"diagnostics":null},"requestId":"req_011CdDRyGidqV7dqG9xxn2om","attributionAgent":"Explore","type":"assistant","uuid":"6ecf161f-3818-46f9-a964-b3486fbed61a","timestamp":"2026-07-20T14:01:06.627Z","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"033a4a00-9171-4e08-9a79-6b99f177355d","version":"2.1.128","gitBranch":"HEAD","slug":"mellow-wobbling-swan"}
{"parentUuid":"6ecf161f-3818-46f9-a964-b3486fbed61a","isSidechain":true,"promptId":"46a0401e-8f56-4de2-b0db-b1496bc7b94e","agentId":"a313f7db222ad21da","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Wg79PWw2mNtt6PGCScxcoF","type":"tool_result","content":"No files found"}]},"uuid":"a6448751-d425-4b60-97e8-93866beed231","timestamp":"2026-07-20T14:01:06.639Z","sourceToolAssistantUUID":"6ecf161f-3818-46f9-a964-b3486fbed61a","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"033a4a00-9171-4e08-9a79-6b99f177355d","version":"2.1.128","gitBranch":"HEAD","slug":"mellow-wobbling-swan"}
{"parentUuid":"a6448751-d425-4b60-97e8-93866beed231","isSidechain":true,"agentId":"a313f7db222ad21da","message":{"model":"claude-haiku-4-5-20251001","id":"msg_011CdDRyHWGT8H9MqNLkQXYv","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01YSyxcQozUjD85JW7WCxWcB","name":"Glob","input":{"pattern":"/workspace/extra/projects/stagehand/core/**/*compass*"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":8565,"cache_read_input_tokens":0,"cache_creation":{"ephemeral_5m_input_tokens":8565,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"diagnostics":null},"requestId":"req_011CdDRyGidqV7dqG9xxn2om","attributionAgent":"Explore","type":"assistant","uuid":"d873af5e-c660-4a96-bf1a-1a3c192dd572","timestamp":"2026-07-20T14:01:06.847Z","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"033a4a00-9171-4e08-9a79-6b99f177355d","version":"2.1.128","gitBranch":"HEAD","slug":"mellow-wobbling-swan"}
{"parentUuid":"d873af5e-c660-4a96-bf1a-1a3c192dd572","isSidechain":true,"agentId":"a313f7db222ad21da","message":{"model":"claude-haiku-4-5-20251001","id":"msg_011CdDRyHWGT8H9MqNLkQXYv","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01BgCvdcj8vmkDWmjiM5kAb3","name":"Glob","input":{"pattern":"/workspace/extra/projects/stagehand/workflows/**/*compass*"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":8565,"cache_read_input_tokens":0,"cache_creation":{"ephemeral_5m_input_tokens":8565,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"diagnostics":null},"requestId":"req_011CdDRyGidqV7dqG9xxn2om","attributionAgent":"Explore","type":"assistant","uuid":"92861d2d-06f7-456c-8cbf-8617715c99c1","timestamp":"2026-07-20T14:01:06.861Z","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"033a4a00-9171-4e08-9a79-6b99f177355d","version":"2.1.128","gitBranch":"HEAD","slug":"mellow-wobbling-swan"}
{"parentUuid":"d873af5e-c660-4a96-bf1a-1a3c192dd572","isSidechain":true,"promptId":"46a0401e-8f56-4de2-b0db-b1496bc7b94e","agentId":"a313f7db222ad21da","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01YSyxcQozUjD85JW7WCxWcB","type":"tool_result","content":"/workspace/extra/projects/stagehand/core/listings/providers/compass.py\n/workspace/extra/projects/stagehand/core/listings/providers/__pycache__/compass.cpython-312.pyc"}]},"uuid":"f3291742-907a-44b5-b0d0-f4e7a5459edc","timestamp":"2026-07-20T14:01:06.876Z","sourceToolAssistantUUID":"d873af5e-c660-4a96-bf1a-1a3c192dd572","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"033a4a00-9171-4e08-9a79-6b99f177355d","version":"2.1.128","gitBranch":"HEAD","slug":"mellow-wobbling-swan"}
{"parentUuid":"92861d2d-06f7-456c-8cbf-8617715c99c1","isSidechain":true,"promptId":"46a0401e-8f56-4de2-b0db-b1496bc7b94e","agentId":"a313f7db222ad21da","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01BgCvdcj8vmkDWmjiM5kAb3","type":"tool_result","content":"No files found"}]},"uuid":"831eab5b-76f4-451c-be0e-5a12b980b99a","timestamp":"2026-07-20T14:01:06.878Z","sourceToolAssistantUUID":"92861d2d-06f7-456c-8cbf-8617715c99c1","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"033a4a00-9171-4e08-9a79-6b99f177355d","version":"2.1.128","gitBranch":"HEAD","slug":"mellow-wobbling-swan"}
{"parentUuid":"831eab5b-76f4-451c-be0e-5a12b980b99a","isSidechain":true,"agentId":"a313f7db222ad21da","message":{"model":"claude-haiku-4-5-20251001","id":"msg_011CdDRyHWGT8H9MqNLkQXYv","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01JiAkTW4boPVMXpKCgKhvyB","name":"Glob","input":{"pattern":"/workspace/extra/projects/stagehand/**/*demo*adapter*"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":8565,"cache_read_input_tokens":0,"cache_creation":{"ephemeral_5m_input_tokens":8565,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"diagnostics":null},"requestId":"req_011CdDRyGidqV7dqG9xxn2om","attributionAgent":"Explore","type":"assistant","uuid":"56e675d1-ae93-49dd-aae1-5a14b606caff","timestamp":"2026-07-20T14:01:07.065Z","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"033a4a00-9171-4e08-9a79-6b99f177355d","version":"2.1.128","gitBranch":"HEAD","slug":"mellow-wobbling-swan"}
{"parentUuid":"56e675d1-ae93-49dd-aae1-5a14b606caff","isSidechain":true,"agentId":"a313f7db222ad21da","message":{"model":"claude-haiku-4-5-20251001","id":"msg_011CdDRyHWGT8H9MqNLkQXYv","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01HnFp2PZDnyKDCLxP5ZscfZ","name":"Bash","input":{"command":"find /workspace/extra/projects/stagehand -name \"*compass*\" -o -name \"*demo*\" | grep -E \"\\.(ts|js|py)$\""},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":8565,"cache_read_input_tokens":0,"output_tokens":311,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":8565},"inference_geo":"","iterations":[{"input_tokens":3,"output_tokens":311,"cache_read_input_tokens":0,"cache_creation_input_tokens":8565,"cache_creation":{"ephemeral_5m_input_tokens":8565,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CdDRyGidqV7dqG9xxn2om","attributionAgent":"Explore","type":"assistant","uuid":"9a53d8aa-3134-4e5d-afdd-64cf96620f7b","timestamp":"2026-07-20T14:01:07.323Z","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"033a4a00-9171-4e08-9a79-6b99f177355d","version":"2.1.128","gitBranch":"HEAD","slug":"mellow-wobbling-swan"}
{"parentUuid":"56e675d1-ae93-49dd-aae1-5a14b606caff","isSidechain":true,"promptId":"46a0401e-8f56-4de2-b0db-b1496bc7b94e","agentId":"a313f7db222ad21da","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01JiAkTW4boPVMXpKCgKhvyB","type":"tool_result","content":"No files found"}]},"uuid":"0a952c01-8eab-4d07-a449-6b395518a3f0","timestamp":"2026-07-20T14:01:14.558Z","sourceToolAssistantUUID":"56e675d1-ae93-49dd-aae1-5a14b606caff","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"033a4a00-9171-4e08-9a79-6b99f177355d","version":"2.1.128","gitBranch":"HEAD","slug":"mellow-wobbling-swan"}
{"parentUuid":"9a53d8aa-3134-4e5d-afdd-64cf96620f7b","isSidechain":true,"promptId":"46a0401e-8f56-4de2-b0db-b1496bc7b94e","agentId":"a313f7db222ad21da","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01HnFp2PZDnyKDCLxP5ZscfZ","type":"tool_result","content":"/workspace/extra/projects/stagehand/core/listings/providers/compass.py\n/workspace/extra/projects/stagehand/tests/test_compass_provider.py","is_error":false}]},"uuid":"a0bfd4dd-0299-4a88-b9d8-6532eb76cd65","timestamp":"2026-07-20T14:01:18.956Z","sourceToolAssistantUUID":"9a53d8aa-3134-4e5d-afdd-64cf96620f7b","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"033a4a00-9171-4e08-9a79-6b99f177355d","version":"2.1.128","gitBranch":"HEAD","slug":"mellow-wobbling-swan"}
{"parentUuid":"a0bfd4dd-0299-4a88-b9d8-6532eb76cd65","isSidechain":true,"agentId":"a313f7db222ad21da","message":{"model":"claude-haiku-4-5-20251001","id":"msg_011CdDRzLmVytDWBT9iWvZWq","type":"message","role":"assistant","content":[{"type":"text","text":"Now let me read the Compass provider and test file:"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":2481,"cache_read_input_tokens":8565,"cache_creation":{"ephemeral_5m_input_tokens":2481,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"},"diagnostics":null},"requestId":"req_011CdDRzK3ZcFasFdFpMBh6s","attributionAgent":"Explore","type":"assistant","uuid":"bb44b52f-a979-4480-9196-0488e11933c6","timestamp":"2026-07-20T14:01:20.724Z","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"033a4a00-9171-4e08-9a79-6b99f177355d","version":"2.1.128","gitBranch":"HEAD","slug":"mellow-wobbling-swan"}
{"parentUuid":"bb44b52f-a979-4480-9196-0488e11933c6","isSidechain":true,"agentId":"a313f7db222ad21da","message":{"model":"claude-haiku-4-5-20251001","id":"msg_011CdDRzLmVytDWBT9iWvZWq","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Jr3ZySopL6NrJMvqJstCZG","name":"Read","input":{"file_path":"/workspace/extra/projects/stagehand/core/listings/providers/compass.py"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":2481,"cache_read_input_tokens":8565,"cache_creation":{"ephemeral_5m_input_tokens":2481,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"},"diagnostics":null},"requestId":"req_011CdDRzK3ZcFasFdFpMBh6s","attributionAgent":"Explore","type":"assistant","uuid":"b260bb31-4f26-4d48-abaf-d153802acf8c","timestamp":"2026-07-20T14:01:21.149Z","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"033a4a00-9171-4e08-9a79-6b99f177355d","version":"2.1.128","gitBranch":"HEAD","slug":"mellow-wobbling-swan"}
{"parentUuid":"b260bb31-4f26-4d48-abaf-d153802acf8c","isSidechain":true,"promptId":"46a0401e-8f56-4de2-b0db-b1496bc7b94e","agentId":"a313f7db222ad21da","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Jr3ZySopL6NrJMvqJstCZG","type":"tool_result","content":"1\t\"\"\"Compass allowlisted demo adapter.\n2\t\n3\tDemo-grade intake for Richard Fowler compass.com listing pages.\n4\t\n5\tThis is intentionally *not* a production rights path. Production still needs\n6\tbrokerage / photographer / MLS authorization (or a licensed feed). The adapter\n7\trecords demo provenance so human review never confuses pilot media with a\n8\tshipped rights-cleared source.\n9\t\"\"\"\n10\t\n11\tfrom __future__ import annotations\n12\t\n13\timport hashlib\n14\timport json\n15\timport re\n16\tfrom dataclasses import dataclass\n17\tfrom datetime import UTC, datetime\n18\tfrom pathlib import Path\n19\tfrom typing import Any, Callable, Mapping, Sequence\n20\tfrom urllib.error import HTTPError, URLError\n21\tfrom urllib.parse import urlsplit\n22\tfrom urllib.request import Request, urlopen\n23\t\n24\tfrom core.listings.manifest import ListingManifestError, normalize_listing_url\n25\tfrom core.listings.models import ListingPhoto, ListingSnapshot\n26\t\n27\tCOMPASS_HOSTS = frozenset({\"compass.com\", \"www.compass.com\"})\n28\tDEFAULT_USER_AGENT = (\n29\t    \"Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) \"\n30\t    \"AppleWebKit/537.36 (KHTML, like Gecko) Chrome/124.0.0.0 Safari/537.36\"\n31\t)\n32\t_INITIAL_DATA_RE = re.compile(r\"window\\.__INITIAL_DATA__\\s*=\\s*\")\n33\t_MEDIA_HASH_RE = re.compile(r\"/m/([0-9a-f]{40,})/\", re.I)\n34\t_COMPASS_MEDIA_RE = re.compile(\n35\t    r\"https://www\\.compass\\.com/m/(?:[0-9]+/)?[0-9a-fA-F-]+/(?:origin|640x480)\\.(?:jpg|jpeg|webp)\",\n36\t    re.I,\n37\t)\n38\t\n39\t\n40\tclass CompassListingError(ListingManifestError):\n41\t    \"\"\"Raised when a Compass listing cannot be ingested for the demo workflow.\"\"\"\n42\t\n43\t\n44\t@dataclass(frozen=True, slots=True)\n45\tclass CompassListingParse:\n46\t    source_url: str\n47\t    address: str\n48\t    city: str\n49\t    state: str\n50\t    postal_code: str\n51\t    price: int | None\n52\t    beds: float | None\n53\t    baths: float | None\n54\t    square_feet: int | None\n55\t    description: str\n56\t    photo_urls: tuple[str, ...]\n57\t    attribution: str\n58\t    agent_name: str = \"\"\n59\t\n60\t\n61\tHttpGet = Callable[[str], bytes]\n62\t\n63\t\n64\tdef is_compass_listing_url(listing_url: str) -> bool:\n65\t    try:\n66\t        host = (urlsplit(normalize_listing_url(listing_url)).hostname or \"\").lower()\n67\t    except ListingManifestError:\n68\t        return False\n69\t    return host in COMPASS_HOSTS\n70\t\n71\t\n72\tdef parse_compass_listing_html(html: str, *, listing_url: str) -> CompassListingParse:\n73\t    if not html or not html.strip():\n74\t        raise CompassListingError(\"Compass listing HTML was empty\")\n75\t\n76\t    source_url = normalize_listing_url(listing_url)\n77\t    initial = _extract_initial_data(html)\n78\t    listing = _listing_blob(initial) if initial is not None else None\n79\t    ld = _extract_ld_listing(html)\n80\t\n81\t    address = _first_str(\n82\t        _dig(listing, \"location\", \"streetAddress\"),\n83\t        _dig(ld, \"address\", \"streetAddress\"),\n84\t    )\n85\t    city = _first_str(\n86\t        _dig(listing, \"location\", \"city\"),\n87\t        _dig(ld, \"address\", \"addressLocality\"),\n88\t    )\n89\t    state = _first_str(\n90\t        _dig(listing, \"location\", \"state\"),\n91\t        _dig(ld, \"address\", \"addressRegion\"),\n92\t    )\n93\t    postal_code = _first_str(\n94\t        _dig(listing, \"location\", \"zipCode\"),\n95\t        _dig(listing, \"location\", \"postalCode\"),\n96\t        _dig(ld, \"address\", \"postalCode\"),\n97\t    )\n98\t    description = _first_str(\n99\t        _dig(listing, \"description\"),\n100\t        _dig(ld, \"description\"),\n101\t    ).strip()\n102\t    price = _coerce_int(\n103\t        _dig(listing, \"price\", \"listed\")\n104\t        or _dig(listing, \"price\", \"amount\")\n105\t        or _dig(listing, \"price\")\n106\t        or _dig(ld, \"offers\", \"price\")\n107\t    )\n108\t    beds = _coerce_float(\n109\t        _dig(listing, \"size\", \"bedrooms\")\n110\t        or _dig(listing, \"size\", \"beds\")\n111\t        or _dig(ld, \"numberOfRooms\")\n112\t    )\n113\t    baths = _coerce_float(\n114\t        _dig(listing, \"size\", \"bathrooms\")\n115\t        or _dig(listing, \"size\", \"totalBathrooms\")\n116\t        or _dig(listing, \"size\", \"baths\")\n117\t    )\n118\t    square_feet = _coerce_int(\n119\t        _dig(listing, \"size\", \"squareFeet\")\n120\t        or _dig(listing, \"size\", \"sqft\")\n121\t        or _floor_size(ld)\n122\t    )\n123\t    agent_name = _first_str(\n124\t        _dig(listing, \"fullContacts\", 0, \"name\"),\n125\t        _dig(ld, \"offers\", \"offeredBy\", \"name\"),\n126\t    )\n127\t    photo_urls = _collect_photo_urls(html, listing, ld)\n128\t    if not photo_urls:\n129\t        raise CompassListingError(\"Compass listing page exposed no property photos\")\n130\t    if not any((price is not None, beds is not None, baths is not None, square_feet is not None, description)):\n131\t        raise CompassListingError(\"Compass listing page exposed no usable listing facts\")\n132\t\n133\t    attribution = (\n134\t        \"Demo intake from compass.com public listing page for pilot review only. \"\n135\t        \"Not a production rights-cleared source — obtain broker/photographer/MLS authorization before shipping.\"\n136\t    )\n137\t    if agent_name:\n138\t        attribution = f\"{attribution} Listed agent on page: {agent_name}.\"\n139\t\n140\t    return CompassListingParse(\n141\t        source_url=source_url,\n142\t        address=address,\n143\t        city=city,\n144\t        state=state,\n145\t        postal_code=postal_code,\n146\t        price=price,\n147\t        beds=beds,\n148\t        baths=baths,\n149\t        square_feet=square_feet,\n150\t        description=description,\n151\t        photo_urls=photo_urls,\n152\t        attribution=attribution,\n153\t        agent_name=agent_name,\n154\t    )\n155\t\n156\t\n157\tdef materialize_compass_listing(\n158\t    parsed: CompassListingParse,\n159\t    *,\n160\t    media_root: str | Path,\n161\t    http_get: HttpGet | None = None,\n162\t    max_photos: int = 20,\n163\t) -> ListingSnapshot:\n164\t    \"\"\"Download photo URLs into media_root and return a ListingSnapshot.\"\"\"\n165\t    root = Path(media_root)\n166\t    photos_dir = root / \"photos\"\n167\t    photos_dir.mkdir(parents=True, exist_ok=True)\n168\t    getter = http_get or _default_http_get\n169\t    photos: list[ListingPhoto] = []\n170\t    for index, photo_url in enumerate(parsed.photo_urls[: max(1, max_photos)]):\n171\t        suffix = _extension_for_url(photo_url)\n172\t        relative = Path(\"photos\") / f\"photo_{index + 1:02d}{suffix}\"\n173\t        dest = root / relative\n174\t        try:\n175\t            payload = getter(photo_url)\n176\t        except CompassListingError:\n177\t            raise\n178\t        except Exception as exc:  # pragma: no cover - network seams cover this with mocked get\n179\t            raise CompassListingError(f\"Failed to download Compass photo {index + 1}: {exc}\") from exc\n180\t        if not payload:\n181\t            raise CompassListingError(f\"Compass photo {index + 1} was empty\")\n182\t        dest.write_bytes(payload)\n183\t        digest = hashlib.sha256(payload).hexdigest()\n184\t        photos.append(\n185\t            ListingPhoto(\n186\t                path=dest.resolve(),\n187\t                relative_path=relative.as_posix(),\n188\t                sha256=digest,\n189\t                size_bytes=len(payload),\n190\t                label=f\"Photo {index + 1}\",\n191\t                focal_point=(0.5, 0.5),\n192\t            )\n193\t        )\n194\t\n195\t    if not photos:\n196\t        raise CompassListingError(\"No Compass photos were downloaded\")\n197\t\n198\t    return ListingSnapshot(\n199\t        source_url=parsed.source_url,\n200\t        source_provider=\"compass_public_demo\",\n201\t        rights_confirmed=True,\n202\t        attribution=parsed.attribution,\n203\t        address=parsed.address,\n204\t        city=parsed.city,\n205\t        state=parsed.state,\n206\t        postal_code=parsed.postal_code,\n207\t        price=parsed.price,\n208\t        beds=parsed.beds,\n209\t        baths=parsed.baths,\n210\t        square_feet=parsed.square_feet,\n211\t        description=parsed.description,\n212\t        photos=tuple(photos),\n213\t        cover_photo_index=0,\n214\t        created_at=datetime.now(UTC).isoformat(),\n215\t    )\n216\t\n217\t\n218\tdef write_manifest_from_snapshot(snapshot: ListingSnapshot, media_root: str | Path) -> Path:\n219\t    \"\"\"Write a version-1 operator manifest next to downloaded photos for re-runs.\"\"\"\n220\t    root = Path(media_root)\n221\t    root.mkdir(parents=True, exist_ok=True)\n222\t    path = root / \"listing.json\"\n223\t    payload = snapshot.to_dict()\n224\t    # Manifest format uses path/label/focal_point only on photos.\n225\t    payload[\"photos\"] = [\n226\t        {\n227\t            \"path\": photo.relative_path,\n228\t            \"label\": photo.label,\n229\t            \"focal_point\": list(photo.focal_point),\n230\t        }\n231\t        for photo in snapshot.photos\n232\t    ]\n233\t    path.write_text(json.dumps(payload, indent=2), encoding=\"utf-8\")\n234\t    return path\n235\t\n236\t\n237\tdef fetch_compass_listing(\n238\t    listing_url: str,\n239\t    *,\n240\t    media_root: str | Path,\n241\t    http_get: HttpGet | None = None,\n242\t    max_photos: int = 20,\n243\t) -> ListingSnapshot:\n244\t    if not is_compass_listing_url(listing_url):\n245\t        raise CompassListingError(\"Not a Compass listing URL\")\n246\t    getter = http_get or _default_http_get\n247\t    try:\n248\t        html = getter(normalize_listing_url(listing_url)).decode(\"utf-8\", \"replace\")\n249\t    except CompassListingError:\n250\t        raise\n251\t    except Exception as exc:\n252\t        raise CompassListingError(f\"Failed to fetch Compass listing page: {exc}\") from exc\n253\t    parsed = parse_compass_listing_html(html, listing_url=listing_url)\n254\t    snapshot = materialize_compass_listing(\n255\t        parsed,\n256\t        media_root=media_root,\n257\t        http_get=getter,\n258\t        max_photos=max_photos,\n259\t    )\n260\t    write_manifest_from_snapshot(snapshot, media_root)\n261\t    return snapshot\n262\t\n263\t\n264\tdef _default_http_get(url: str) -> bytes:\n265\t    request = Request(\n266\t        url,\n267\t        headers={\n268\t            \"User-Agent\": DEFAULT_USER_AGENT,\n269\t            \"Accept\": \"text/html,application/xhtml+xml,application/json,image/avif,image/webp,*/*;q=0.8\",\n270\t            \"Accept-Language\": \"en-US,en;q=0.9\",\n271\t        },\n272\t    )\n273\t    try:\n274\t        with urlopen(request, timeout=30) as response:  # noqa: S310 - operator-requested live URL fetch\n275\t            return response.read()\n276\t    except HTTPError as exc:\n277\t        raise CompassListingError(f\"HTTP {exc.code} fetching {url}\") from exc\n278\t    except URLError as exc:\n279\t        raise CompassListingError(f\"Network error fetching {url}: {exc.reason}\") from exc\n280\t\n281\t\n282\tdef _extract_initial_data(html: str) -> dict[str, Any] | None:\n283\t    match = _INITIAL_DATA_RE.search(html)\n284\t    if not match:\n285\t        return None\n286\t    start = match.end()\n287\t    while start < len(html) and html[start].isspace():\n288\t        start += 1\n289\t    if start >= len(html) or html[start] != \"{\":\n290\t        return None\n291\t    depth = 0\n292\t    in_string = False\n293\t    escape = False\n294\t    for index in range(start, len(html)):\n295\t        ch = html[index]\n296\t        if in_string:\n297\t            if escape:\n298\t                escape = False\n299\t            elif ch == \"\\\\\":\n300\t                escape = True\n301\t            elif ch == '\"':\n302\t                in_string = False\n303\t            continue\n304\t        if ch == '\"':\n305\t            in_string = True\n306\t        elif ch == \"{\":\n307\t            depth += 1\n308\t        elif ch == \"}\":\n309\t            depth -= 1\n310\t            if depth == 0:\n311\t                raw = html[start : index + 1]\n312\t                try:\n313\t                    data = json.loads(raw)\n314\t                except json.JSONDecodeError as exc:\n315\t                    raise CompassListingError(f\"Compass __INITIAL_DATA__ was invalid JSON: {exc}\") from exc\n316\t                if not isinstance(data, dict):\n317\t                    raise CompassListingError(\"Compass __INITIAL_DATA__ was not an object\")\n318\t                return data\n319\t    return None\n320\t\n321\t\n322\tdef _listing_blob(initial: Mapping[str, Any]) -> Mapping[str, Any] | None:\n323\t    listing = _dig(initial, \"props\", \"listingRelation\", \"listing\")\n324\t    return listing if isinstance(listing, Mapping) else None\n325\t\n326\t\n327\tdef _extract_ld_listing(html: str) -> dict[str, Any]:\n328\t    blocks = re.findall(\n329\t        r'<script[^>]+type=[\"\\']application/ld\\+json[\"\\'][^>]*>(.*?)</script>',\n330\t        html,\n331\t        flags=re.I | re.S,\n332\t    )\n333\t    for block in blocks:\n334\t        try:\n335\t            data = json.loads(block.strip())\n336\t        except json.JSONDecodeError:\n337\t            continue\n338\t        found = _find_ld_listing(data)\n339\t        if found:\n340\t            return found\n341\t    return {}\n342\t\n343\t\n344\tdef _find_ld_listing(node: Any) -> dict[str, Any] | None:\n345\t    if isinstance(node, dict):\n346\t        types = node.get(\"@type\")\n347\t        type_list = types if isinstance(types, list) else [types]\n348\t        lowered = {str(value).lower() for value in type_list if value}\n349\t        if lowered & {\"realestatelisting\", \"singlefamilyresidence\", \"product\", \"house\", \"apartment\"}:\n350\t            return node\n351\t        if \"@graph\" in node:\n352\t            found = _find_ld_listing(node[\"@graph\"])\n353\t            if found:\n354\t                return found\n355\t        for value in node.values():\n356\t            found = _find_ld_listing(value)\n357\t            if found:\n358\t                return found\n359\t    elif isinstance(node, list):\n360\t        for item in node:\n361\t            found = _find_ld_listing(item)\n362\t            if found:\n363\t                return found\n364\t    return None\n365\t\n366\t\n367\tdef _collect_photo_urls(\n368\t    html: str,\n369\t    listing: Mapping[str, Any] | None,\n370\t    ld: Mapping[str, Any],\n371\t) -> tuple[str, ...]:\n372\t    urls: list[str] = []\n373\t    if listing is not None:\n374\t        media = listing.get(\"media\")\n375\t        if isinstance(media, Mapping):\n376\t            for key in (\"originalUrl\", \"thumbnailUrl\", \"url\"):\n377\t                value = media.get(key)\n378\t                if isinstance(value, str) and value.startswith(\"http\"):\n379\t                    urls.append(value)\n380\t        elif isinstance(media, list):\n381\t            for item in media:\n382\t                if not isinstance(item, Mapping):\n383\t                    continue\n384\t                for key in (\"originalUrl\", \"url\", \"thumbnailUrl\"):\n385\t                    value = item.get(key)\n386\t                    if isinstance(value, str) and value.startswith(\"http\"):\n387\t                        urls.append(value)\n388\t                        break\n389\t    image = ld.get(\"image\")\n390\t    if isinstance(image, list):\n391\t        for item in image:\n392\t            if isinstance(item, str) and item.startswith(\"http\"):\n393\t                urls.append(item)\n394\t            elif isinstance(item, Mapping):\n395\t                value = item.get(\"url\") or item.get(\"contentUrl\")\n396\t                if isinstance(value, str) and value.startswith(\"http\"):\n397\t                    urls.append(value)\n398\t    elif isinstance(image, str) and image.startswith(\"http\"):\n399\t        urls.append(image)\n400\t    elif isinstance(image, Mapping):\n401\t        value = image.get(\"url\") or image.get(\"contentUrl\")\n402\t        if isinstance(value, str) and value.startswith(\"http\"):\n403\t            urls.append(value)\n404\t\n405\t    for match in _COMPASS_MEDIA_RE.findall(html):\n406\t        urls.append(match)\n407\t    for media_hash in _MEDIA_HASH_RE.findall(html):\n408\t        urls.append(f\"https://www.compass.com/m/{media_hash}/origin.jpg\")\n409\t\n410\t    return _prefer_origin_unique(urls)\n411\t\n412\t\n413\tdef _prefer_origin_unique(urls: Sequence[str]) -> tuple[str, ...]:\n414\t    best: dict[str, str] = {}\n415\t    order: list[str] = []\n416\t    for url in urls:\n417\t        clean = url.split(\"?\")[0].replace(\"http://\", \"https://\")\n418\t        if \"profile\" in clean.lower() or \"avatar\" in clean.lower():\n419\t            continue\n420\t        # agent headshots live under /m/<int>/uuid/\n421\t        if re.search(r\"/m/\\d+/[0-9a-f-]{20,}/\", clean, re.I):\n422\t            continue\n423\t        match = re.search(r\"/m/([0-9a-f]{32,})/\", clean, re.I)\n424\t        key = match.group(1).lower() if match else clean.lower()\n425\t        score = 0\n426\t        lower = clean.lower()\n427\t        if \"/origin.\" in lower:\n428\t            score += 3\n429\t        if \"640x480\" in lower:\n430\t            score += 1\n431\t        if lower.endswith((\".jpg\", \".jpeg\")):\n432\t            score += 1\n433\t        if key not in best:\n434\t            order.append(key)\n435\t            best[key] = clean\n436\t        else:\n437\t            current = best[key]\n438\t            current_score = (3 if \"/origin.\" in current.lower() else 0) + (1 if \"640x480\" in current.lower() else 0)\n439\t            if score > current_score:\n440\t                best[key] = clean\n441\t    return tuple(best[key] for key in order if key in best)\n442\t\n443\t\n444\tdef _floor_size(ld: Mapping[str, Any]) -> Any:\n445\t    floor = ld.get(\"floorSize\")\n446\t    if isinstance(floor, list) and floor:\n447\t        floor = floor[0]\n448\t    if isinstance(floor, Mapping):\n449\t        return floor.get(\"value\")\n450\t    return floor\n451\t\n452\t\n453\tdef _dig(node: Any, *path: Any) -> Any:\n454\t    current = node\n455\t    for key in path:\n456\t        if isinstance(key, int):\n457\t            if not isinstance(current, list) or key >= len(current):\n458\t                return None\n459\t            current = current[key]\n460\t            continue\n461\t        if not isinstance(current, Mapping) or key not in current:\n462\t            return None\n463\t        current = current[key]\n464\t    return current\n465\t\n466\t\n467\tdef _first_str(*values: Any) -> str:\n468\t    for value in values:\n469\t        if value is None:\n470\t            continue\n471\t        text = str(value).strip()\n472\t        if text:\n473\t            return text\n474\t    return \"\"\n475\t\n476\t\n477\tdef _coerce_int(value: Any) -> int | None:\n478\t    if value in (None, \"\"):\n479\t        return None\n480\t    if isinstance(value, bool):\n481\t        return None\n482\t    if isinstance(value, int):\n483\t        return value if value >= 0 else None\n484\t    if isinstance(value, float):\n485\t        if not value.is_integer() or value < 0:\n486\t            return None\n487\t        return int(value)\n488\t    text = str(value).strip().replace(\",\", \"\")\n489\t    if not text:\n490\t        return None\n491\t    match = re.search(r\"\\d+\", text)\n492\t    if not match:\n493\t        return None\n494\t    try:\n495\t        parsed = int(match.group(0))\n496\t    except ValueError:\n497\t        return None\n498\t    return parsed if parsed >= 0 else None\n499\t\n500\t\n501\tdef _coerce_float(value: Any) -> float | None:\n502\t    if value in (None, \"\"):\n503\t        return None\n504\t    if isinstance(value, bool):\n505\t        return None\n506\t    if isinstance(value, (int, float)):\n507\t        parsed = float(value)\n508\t        return parsed if parsed >= 0 else None\n509\t    text = str(value).strip().replace(\",\", \"\")\n510\t    match = re.search(r\"\\d+(?:\\.\\d+)?\", text)\n511\t    if not match:\n512\t        return None\n513\t    try:\n514\t        parsed = float(match.group(0))\n515\t    except ValueError:\n516\t        return None\n517\t    return parsed if parsed >= 0 else None\n518\t\n519\t\n520\tdef _extension_for_url(url: str) -> str:\n521\t    path = urlsplit(url).path.lower()\n522\t    for ext in (\".jpg\", \".jpeg\", \".png\", \".webp\"):\n523\t        if path.endswith(ext):\n524\t            return \".jpg\" if ext == \".jpeg\" else ext\n525\t    return \".jpg\"\n526\t"}]},"uuid":"0fb7f1db-56c0-4962-b3e9-696f98b81de4","timestamp":"2026-07-20T14:01:21.172Z","sourceToolAssistantUUID":"b260bb31-4f26-4d48-abaf-d153802acf8c","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"033a4a00-9171-4e08-9a79-6b99f177355d","version":"2.1.128","gitBranch":"HEAD","slug":"mellow-wobbling-swan"}
{"parentUuid":"0fb7f1db-56c0-4962-b3e9-696f98b81de4","isSidechain":true,"agentId":"a313f7db222ad21da","message":{"model":"claude-haiku-4-5-20251001","id":"msg_011CdDRzLmVytDWBT9iWvZWq","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Jx833eoUc2WmHSnmsFQhWL","name":"Read","input":{"file_path":"/workspace/extra/projects/stagehand/tests/test_compass_provider.py"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":2481,"cache_read_input_tokens":8565,"cache_creation":{"ephemeral_5m_input_tokens":2481,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"},"diagnostics":null},"requestId":"req_011CdDRzK3ZcFasFdFpMBh6s","attributionAgent":"Explore","type":"assistant","uuid":"1c8ab389-03c3-43e1-88da-dc5b66bc342e","timestamp":"2026-07-20T14:01:21.484Z","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"033a4a00-9171-4e08-9a79-6b99f177355d","version":"2.1.128","gitBranch":"HEAD","slug":"mellow-wobbling-swan"}
{"parentUuid":"1c8ab389-03c3-43e1-88da-dc5b66bc342e","isSidechain":true,"promptId":"46a0401e-8f56-4de2-b0db-b1496bc7b94e","agentId":"a313f7db222ad21da","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Jx833eoUc2WmHSnmsFQhWL","type":"tool_result","content":"1\tfrom __future__ import annotations\n2\t\n3\timport tempfile\n4\timport unittest\n5\tfrom pathlib import Path\n6\tfrom unittest.mock import MagicMock\n7\t\n8\tfrom core.listings.manifest import ListingManifestError, SourcePolicy, load_listing_source, source_policy_for\n9\tfrom core.listings.providers.compass import (\n10\t    CompassListingError,\n11\t    fetch_compass_listing,\n12\t    is_compass_listing_url,\n13\t    parse_compass_listing_html,\n14\t)\n15\tfrom core.listings.providers.registry import build_authorized_fetcher\n16\t\n17\tFIXTURE_HTML = Path(__file__).parent / \"fixtures\" / \"compass\" / \"sample_listing.html\"\n18\tCOMPASS_URL = \"https://www.compass.com/homedetails/1002-Horne-Dr-Cedar-Park-TX-78613/1877020858229275065_lid/\"\n19\tPHOTO_A = \"https://www.compass.com/m/aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa/origin.jpg\"\n20\tPHOTO_B = \"https://www.compass.com/m/bbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbb/origin.jpg\"\n21\t\n22\t\n23\tclass CompassProviderTests(unittest.TestCase):\n24\t    def test_source_policy_allows_compass_adapter_path(self) -> None:\n25\t        self.assertTrue(is_compass_listing_url(COMPASS_URL))\n26\t        self.assertEqual(source_policy_for(COMPASS_URL), SourcePolicy.AUTHORIZED_ADAPTER)\n27\t\n28\t    def test_parse_fixture_html_extracts_facts_and_deduped_photos(self) -> None:\n29\t        html = FIXTURE_HTML.read_text(encoding=\"utf-8\")\n30\t        parsed = parse_compass_listing_html(html, listing_url=COMPASS_URL)\n31\t\n32\t        self.assertEqual(parsed.address, \"1002 Horne Dr\")\n33\t        self.assertEqual(parsed.city, \"Cedar Park\")\n34\t        self.assertEqual(parsed.state, \"TX\")\n35\t        self.assertEqual(parsed.postal_code, \"78613\")\n36\t        self.assertEqual(parsed.price, 692500)\n37\t        self.assertEqual(parsed.beds, 5)\n38\t        self.assertEqual(parsed.baths, 3)\n39\t        self.assertEqual(parsed.square_feet, 2684)\n40\t        self.assertIn(\"Cypress Canyon\", parsed.description)\n41\t        self.assertEqual(parsed.agent_name, \"Richard Fowler\")\n42\t        self.assertEqual(parsed.photo_urls, (PHOTO_A, PHOTO_B))\n43\t        self.assertIn(\"pilot review only\", parsed.attribution)\n44\t\n45\t    def test_fetch_materializes_photos_and_manifest(self) -> None:\n46\t        html = FIXTURE_HTML.read_text(encoding=\"utf-8\").encode(\"utf-8\")\n47\t        photo_bytes = {\n48\t            PHOTO_A: b\"P3\\n1 1\\n255\\n220 210 190\\n\",\n49\t            PHOTO_B: b\"P3\\n1 1\\n255\\n10 20 30\\n\",\n50\t        }\n51\t\n52\t        def http_get(url: str) -> bytes:\n53\t            if url.rstrip(\"/\") == COMPASS_URL.rstrip(\"/\") or url.startswith(COMPASS_URL):\n54\t                return html\n55\t            if url in photo_bytes:\n56\t                return photo_bytes[url]\n57\t            # origin rewrite variants for the second media hash may be requested as origin.jpg\n58\t            if url.endswith(\"/origin.jpg\"):\n59\t                key = url\n60\t                for candidate, payload in photo_bytes.items():\n61\t                    if candidate.split(\"/\")[-2] in url:\n62\t                        return payload\n63\t            raise AssertionError(f\"unexpected URL {url}\")\n64\t\n65\t        with tempfile.TemporaryDirectory() as tmp:\n66\t            root = Path(tmp)\n67\t            snapshot = fetch_compass_listing(COMPASS_URL, media_root=root, http_get=http_get)\n68\t\n69\t            self.assertEqual(snapshot.source_provider, \"compass_public_demo\")\n70\t            self.assertTrue(snapshot.rights_confirmed)\n71\t            self.assertEqual(snapshot.address, \"1002 Horne Dr\")\n72\t            self.assertEqual(len(snapshot.photos), 2)\n73\t            self.assertTrue((root / \"photos\" / \"photo_01.jpg\").exists())\n74\t            self.assertTrue((root / \"photos\" / \"photo_02.jpg\").exists())\n75\t            self.assertTrue((root / \"listing.json\").exists())\n76\t            self.assertEqual(len(snapshot.photos[0].sha256), 64)\n77\t\n78\t    def test_registry_requires_demo_or_rights_flag(self) -> None:\n79\t        with tempfile.TemporaryDirectory() as tmp:\n80\t            root = Path(tmp)\n81\t            blocked = build_authorized_fetcher(media_root=root, demo=False, rights_confirmed=False)\n82\t            with self.assertRaisesRegex(ListingManifestError, \"demo-only\"):\n83\t                blocked(COMPASS_URL)\n84\t\n85\t    def test_registry_uses_compass_adapter_when_demo_enabled(self) -> None:\n86\t        html = FIXTURE_HTML.read_text(encoding=\"utf-8\").encode(\"utf-8\")\n87\t        photo = b\"P3\\n1 1\\n255\\n1 2 3\\n\"\n88\t\n89\t        def http_get(url: str) -> bytes:\n90\t            if \"homedetails\" in url:\n91\t                return html\n92\t            return photo\n93\t\n94\t        with tempfile.TemporaryDirectory() as tmp:\n95\t            root = Path(tmp)\n96\t            fetcher = build_authorized_fetcher(\n97\t                media_root=root,\n98\t                demo=True,\n99\t                rights_confirmed=False,\n100\t                http_get=http_get,\n101\t            )\n102\t            snapshot = load_listing_source(COMPASS_URL, fetcher=fetcher)\n103\t            self.assertEqual(snapshot.source_provider, \"compass_public_demo\")\n104\t            self.assertEqual(snapshot.city, \"Cedar Park\")\n105\t            self.assertGreaterEqual(len(snapshot.photos), 1)\n106\t\n107\t    def test_zillow_still_never_calls_fetcher(self) -> None:\n108\t        fetcher = MagicMock()\n109\t        zillow = \"https://www.zillow.com/homedetails/example/1_zpid/\"\n110\t        self.assertEqual(source_policy_for(zillow), SourcePolicy.MANIFEST_ONLY)\n111\t        with self.assertRaisesRegex(ListingManifestError, \"authorized manifest\"):\n112\t            load_listing_source(zillow, fetcher=fetcher)\n113\t        fetcher.assert_not_called()\n114\t\n115\t    def test_parse_rejects_empty_html(self) -> None:\n116\t        with self.assertRaisesRegex(CompassListingError, \"empty\"):\n117\t            parse_compass_listing_html(\"   \", listing_url=COMPASS_URL)\n118\t\n119\t\n120\tif __name__ == \"__main__\":\n121\t    unittest.main()\n122\t"}]},"uuid":"ee7643ea-4dec-432b-8cbc-9c6cc350ce48","timestamp":"2026-07-20T14:01:21.495Z","sourceToolAssistantUUID":"1c8ab389-03c3-43e1-88da-dc5b66bc342e","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"033a4a00-9171-4e08-9a79-6b99f177355d","version":"2.1.128","gitBranch":"HEAD","slug":"mellow-wobbling-swan"}
{"parentUuid":"ee7643ea-4dec-432b-8cbc-9c6cc350ce48","isSidechain":true,"agentId":"a313f7db222ad21da","message":{"model":"claude-haiku-4-5-20251001","id":"msg_011CdDRzLmVytDWBT9iWvZWq","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_013T9ec1hBjVCY7wMrR4wnV9","name":"Bash","input":{"command":"find /workspace/extra/projects/stagehand -name \"CLAUDE.md\" | head -1"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":2481,"cache_read_input_tokens":8565,"output_tokens":197,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":2481},"inference_geo":"","iterations":[{"input_tokens":7,"output_tokens":197,"cache_read_input_tokens":8565,"cache_creation_input_tokens":2481,"cache_creation":{"ephemeral_5m_input_tokens":2481,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CdDRzK3ZcFasFdFpMBh6s","attributionAgent":"Explore","type":"assistant","uuid":"206e5dc8-1276-4375-a9f7-1dbecb2455f1","timestamp":"2026-07-20T14:01:21.541Z","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"033a4a00-9171-4e08-9a79-6b99f177355d","version":"2.1.128","gitBranch":"HEAD","slug":"mellow-wobbling-swan"}
{"parentUuid":"206e5dc8-1276-4375-a9f7-1dbecb2455f1","isSidechain":true,"promptId":"46a0401e-8f56-4de2-b0db-b1496bc7b94e","agentId":"a313f7db222ad21da","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_013T9ec1hBjVCY7wMrR4wnV9","type":"tool_result","content":"/workspace/extra/projects/stagehand/output/hyperframes/openai-generated-painting-reel/.npm-cache/_npx/a10bdeb14f6d726a/node_modules/hyperframes/dist/templates/_shared/CLAUDE.md","is_error":false}]},"uuid":"43da2faa-acde-456f-a419-27c58a3eb919","timestamp":"2026-07-20T14:01:25.647Z","sourceToolAssistantUUID":"206e5dc8-1276-4375-a9f7-1dbecb2455f1","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"033a4a00-9171-4e08-9a79-6b99f177355d","version":"2.1.128","gitBranch":"HEAD","slug":"mellow-wobbling-swan"}
{"parentUuid":"43da2faa-acde-456f-a419-27c58a3eb919","isSidechain":true,"agentId":"a313f7db222ad21da","message":{"model":"claude-haiku-4-5-20251001","id":"msg_011CdDRzq8ourKvFkqMnjgJi","type":"message","role":"assistant","content":[{"type":"text","text":"Let me search for the CLAUDE.md in the stagehand root and check for demo-related documentation:"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":8692,"cache_read_input_tokens":11046,"cache_creation":{"ephemeral_5m_input_tokens":8692,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"not_available"},"diagnostics":null},"requestId":"req_011CdDRzooC74zB99gJsRyXK","attributionAgent":"Explore","type":"assistant","uuid":"848f3c47-0309-4fb7-ad35-9d82787b8b74","timestamp":"2026-07-20T14:01:27.616Z","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"033a4a00-9171-4e08-9a79-6b99f177355d","version":"2.1.128","gitBranch":"HEAD","slug":"mellow-wobbling-swan"}
{"parentUuid":"848f3c47-0309-4fb7-ad35-9d82787b8b74","isSidechain":true,"agentId":"a313f7db222ad21da","message":{"model":"claude-haiku-4-5-20251001","id":"msg_011CdDRzq8ourKvFkqMnjgJi","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Cnnbgu69rTG6qcB3innTfw","name":"Read","input":{"file_path":"/workspace/extra/projects/stagehand/CLAUDE.md"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":8692,"cache_read_input_tokens":11046,"cache_creation":{"ephemeral_5m_input_tokens":8692,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"not_available"},"diagnostics":null},"requestId":"req_011CdDRzooC74zB99gJsRyXK","attributionAgent":"Explore","type":"assistant","uuid":"ebce1c2c-8e6d-4c63-bd2b-f5136f7f4ce7","timestamp":"2026-07-20T14:01:27.814Z","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"033a4a00-9171-4e08-9a79-6b99f177355d","version":"2.1.128","gitBranch":"HEAD","slug":"mellow-wobbling-swan"}
{"parentUuid":"ebce1c2c-8e6d-4c63-bd2b-f5136f7f4ce7","isSidechain":true,"promptId":"46a0401e-8f56-4de2-b0db-b1496bc7b94e","agentId":"a313f7db222ad21da","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Cnnbgu69rTG6qcB3innTfw","type":"tool_result","content":"1\t# Stagehand Project Instructions\n2\t> Symlinked as `AGENTS.md`; edits affect both. Every agent (Claude Code, Codex) must read the same project instructions from here — do not reintroduce a divergent `AGENTS.md`.\n3\t\n4\tThis project is building a concierge-first local AI workflow service that can later become a platform.\n5\t\n6\t## Listing Reel Engine (canonical)\n7\t\n8\tThe listing reel is rendered with **HyperFrames** (HTML → video). This is the one canonical engine for every agent — outputs live under `output/hyperframes/<project>/` as a HyperFrames project (`index.html`, `hyperframes.json`, `final_listing_reel.mp4` + `_delivery`). QA it with the repo-local skill `skills/hyperframes-reel-review/SKILL.md`.\n9\t\n10\t- The older ffmpeg photo-slideshow path (`python -m cli.main run …`, writing `output/<uuid>/final_video.mp4` via `core/media/photo_reel.py`) is **legacy**. It stays for its tests and existing jobs, but it is not the default: do not build new listing reels through it. If a reel is requested, use HyperFrames.\n11\t- Rationale: the two paths previously produced qualitatively different videos (animated composition vs. Ken-Burns slideshow) in different folders depending on which agent ran — see the convergence decision. One engine, one output location.\n12\t\n13\t## Execution Standard\n14\t\n15\t- Use `docs/punch-list.md` as the project todo list and keep it current.\n16\t- Before starting a meaningful task, identify which punch-list items it advances.\n17\t- When work is completed and verified, update the checkbox in `docs/punch-list.md`.\n18\t- Do not mark discovery items complete until the required user/client input exists.\n19\t- Keep raw client/demo media, generated outputs, secrets, and private addresses out of git.\n20\t- For repeatable local HyperFrames reel QA, use the repo-local skill at `skills/hyperframes-reel-review/SKILL.md`.\n21\t\n22\t## Testing Standard\n23\t\n24\t- Testing is non-negotiable.\n25\t- Use TDD for deterministic business logic, config parsing, tenant scoping, approval gates, CLI behavior, and media command construction.\n26\t- Use BDD-style tests for multi-step workflow behavior such as \"generated script pauses for approval\" and \"approved script resumes rendering.\"\n27\t- The default test suite must not require live paid API calls or network access.\n28\t- Live provider tests must be opt-in and guarded by explicit environment flags.\n29\t- For workflow or media-rendering changes, run a local end-to-end render through approval with a real fixture before calling the work implemented. Inspect or verify the produced video artifact enough to catch issues that unit tests miss, such as silent TTS fallback, static captions, source-audio leakage, or render duration problems.\n30\t- The full test suite runs automatically at the end of every turn via a `Stop` hook (`pytest -q`, configured in `.claude/settings.json`). Treat a failure it surfaces as a regression to fix before handing back; do not rely on it as a gate (it is non-blocking), and still run targeted tests while iterating.\n31\t\n32\t## Current Scope\n33\t\n34\t- Build a local CLI workflow first.\n35\t- Keep the system concierge-first: human review is part of the product.\n36\t- Do not add social posting, billing, authentication, or a web UI until the first workflow is proven.\n37\t- Vercel is acceptable later for thin UI/API surfaces, Neon for hosted Postgres, and Cloudflare for DNS/domains.\n38\t- Long-running video rendering should remain in a local/background worker, not in a Vercel request handler.\n39\t"}]},"uuid":"33d17c52-3119-493a-9971-503179091ead","timestamp":"2026-07-20T14:01:27.823Z","sourceToolAssistantUUID":"ebce1c2c-8e6d-4c63-bd2b-f5136f7f4ce7","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"033a4a00-9171-4e08-9a79-6b99f177355d","version":"2.1.128","gitBranch":"HEAD","slug":"mellow-wobbling-swan"}
{"parentUuid":"33d17c52-3119-493a-9971-503179091ead","isSidechain":true,"agentId":"a313f7db222ad21da","message":{"model":"claude-haiku-4-5-20251001","id":"msg_011CdDRzq8ourKvFkqMnjgJi","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Aj5Gdm28Mz8LfeJCi6zFfY","name":"Bash","input":{"command":"grep -r \"demo.*flag\\|--demo\\|Expand Compass gallery\" /workspace/extra/projects/stagehand --include=\"*.md\" --include=\"*.txt\" --include=\"*.py\" | head -20"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":8692,"cache_read_input_tokens":11046,"output_tokens":176,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":8692},"inference_geo":"","iterations":[{"input_tokens":7,"output_tokens":176,"cache_read_input_tokens":11046,"cache_creation_input_tokens":8692,"cache_creation":{"ephemeral_5m_input_tokens":8692,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CdDRzooC74zB99gJsRyXK","attributionAgent":"Explore","type":"assistant","uuid":"38cddb77-301c-4205-8f4f-650d878367f5","timestamp":"2026-07-20T14:01:28.365Z","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"033a4a00-9171-4e08-9a79-6b99f177355d","version":"2.1.128","gitBranch":"HEAD","slug":"mellow-wobbling-swan"}
{"parentUuid":"38cddb77-301c-4205-8f4f-650d878367f5","isSidechain":true,"promptId":"46a0401e-8f56-4de2-b0db-b1496bc7b94e","agentId":"a313f7db222ad21da","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Aj5Gdm28Mz8LfeJCi6zFfY","type":"tool_result","content":"/workspace/extra/projects/stagehand/core/listings/providers/registry.py:                    \"Pass --demo (pilot) or --rights-confirmed once brokerage/photographer authorization exists.\"\n/workspace/extra/projects/stagehand/core/listings/providers/registry.py:                # non-demo production path. For now both flags use the public demo provider,\n/workspace/extra/projects/stagehand/tests/test_compass_provider.py:    def test_registry_requires_demo_or_rights_flag(self) -> None:\n/workspace/extra/projects/stagehand/tests/test_cli.py:                            \"--demo\",\n/workspace/extra/projects/stagehand/tests/test_cli.py:    def test_listing_reel_requires_manifest_or_demo_flag(self) -> None:\n/workspace/extra/projects/stagehand/output/hyperframes/openai-generated-painting-reel/.npm-cache/_npx/a10bdeb14f6d726a/node_modules/mitt/README.md:-   [Examples & Demos](#examples--demos)\n/workspace/extra/projects/stagehand/output/hyperframes/aleidas-recommendation-reel/.npm-cache/_npx/a10bdeb14f6d726a/node_modules/mitt/README.md:-   [Examples & Demos](#examples--demos)\n/workspace/extra/projects/stagehand/output/hyperframes/apex-pickleball-recommendation-reel/.npm-cache/_npx/a10bdeb14f6d726a/node_modules/mitt/README.md:-   [Examples & Demos](#examples--demos)\n/workspace/extra/projects/stagehand/output/hyperframes/google-generated-painting-reel/.npm-cache/_npx/a10bdeb14f6d726a/node_modules/mitt/README.md:-   [Examples & Demos](#examples--demos)\n/workspace/extra/projects/stagehand/output/hyperframes/house-painting-wipe-reel/.npm-cache/_npx/a10bdeb14f6d726a/node_modules/mitt/README.md:-   [Examples & Demos](#examples--demos)\n/workspace/extra/projects/stagehand/output/hyperframes/openai-warm-to-modern-painting-reel/.npm-cache/_npx/a10bdeb14f6d726a/node_modules/mitt/README.md:-   [Examples & Demos](#examples--demos)\n/workspace/extra/projects/stagehand/output/hyperframes/horne-dr-reel/.npm-cache/_npx/a10bdeb14f6d726a/node_modules/mitt/README.md:-   [Examples & Demos](#examples--demos)\n/workspace/extra/projects/stagehand/output/hyperframes/google-generated-painting-reel-lite-test/.npm-cache/_npx/a10bdeb14f6d726a/node_modules/mitt/README.md:-   [Examples & Demos](#examples--demos)\n/workspace/extra/projects/stagehand/output/hyperframes/broadbay-dr-reel/.npm-cache/_npx/a10bdeb14f6d726a/node_modules/mitt/README.md:-   [Examples & Demos](#examples--demos)\n/workspace/extra/projects/stagehand/output/hyperframes/landscaping-before-after-reel/.npm-cache/_npx/a10bdeb14f6d726a/node_modules/mitt/README.md:-   [Examples & Demos](#examples--demos)\n/workspace/extra/projects/stagehand/output/hyperframes/ramons-house-paint-before-after-reel/.npm-cache/_npx/a10bdeb14f6d726a/node_modules/mitt/README.md:-   [Examples & Demos](#examples--demos)\n/workspace/extra/projects/stagehand/output/hyperframes/pool-upgrade-recommendation-reel/.npm-cache/_npx/a10bdeb14f6d726a/node_modules/mitt/README.md:-   [Examples & Demos](#examples--demos)\n/workspace/extra/projects/stagehand/output/hyperframes/turf-upgrade-recommendation-reel/.npm-cache/_npx/a10bdeb14f6d726a/node_modules/mitt/README.md:-   [Examples & Demos](#examples--demos)\n/workspace/extra/projects/stagehand/docs/punch-list.md:- [x] Add Compass demo link-intake adapter (`--demo`) that materializes local photos + snapshot while keeping Zillow/etc. no-fetch and production rights as a ship blocker.\n/workspace/extra/projects/stagehand/docs/punch-list.md:- [ ] Expand Compass gallery capture further / fail closed below min photo count for demos.","is_error":false}]},"uuid":"6d0da2c0-08b7-4610-8ff5-0a7d43ebdc87","timestamp":"2026-07-20T14:01:33.076Z","sourceToolAssistantUUID":"38cddb77-301c-4205-8f4f-650d878367f5","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"033a4a00-9171-4e08-9a79-6b99f177355d","version":"2.1.128","gitBranch":"HEAD","slug":"mellow-wobbling-swan"}
{"parentUuid":"6d0da2c0-08b7-4610-8ff5-0a7d43ebdc87","isSidechain":true,"agentId":"a313f7db222ad21da","message":{"model":"claude-haiku-4-5-20251001","id":"msg_011CdDS1NnKWiPh8mBhouQ7Q","type":"message","role":"assistant","content":[{"type":"text","text":"Now let me check the punch-list and registry to understand the full context:"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":2335,"cache_read_input_tokens":19738,"cache_creation":{"ephemeral_5m_input_tokens":2335,"ephemeral_1h_input_tokens":0},"output_tokens":5,"service_tier":"standard","inference_geo":"not_available"},"diagnostics":null},"requestId":"req_011CdDS1MbP2kBq48KSks9a6","attributionAgent":"Explore","type":"assistant","uuid":"e25f9165-bbf4-44ae-bf45-2014548899fb","timestamp":"2026-07-20T14:01:34.752Z","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"033a4a00-9171-4e08-9a79-6b99f177355d","version":"2.1.128","gitBranch":"HEAD","slug":"mellow-wobbling-swan"}
{"parentUuid":"e25f9165-bbf4-44ae-bf45-2014548899fb","isSidechain":true,"agentId":"a313f7db222ad21da","message":{"model":"claude-haiku-4-5-20251001","id":"msg_011CdDS1NnKWiPh8mBhouQ7Q","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01KfFyrWtqKf9YiDL2wC3iHj","name":"Read","input":{"file_path":"/workspace/extra/projects/stagehand/docs/punch-list.md"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":2335,"cache_read_input_tokens":19738,"cache_creation":{"ephemeral_5m_input_tokens":2335,"ephemeral_1h_input_tokens":0},"output_tokens":5,"service_tier":"standard","inference_geo":"not_available"},"diagnostics":null},"requestId":"req_011CdDS1MbP2kBq48KSks9a6","attributionAgent":"Explore","type":"assistant","uuid":"1b4ae18f-4673-48b3-b683-b7672b28377a","timestamp":"2026-07-20T14:01:35.149Z","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"033a4a00-9171-4e08-9a79-6b99f177355d","version":"2.1.128","gitBranch":"HEAD","slug":"mellow-wobbling-swan"}
{"parentUuid":"1b4ae18f-4673-48b3-b683-b7672b28377a","isSidechain":true,"promptId":"46a0401e-8f56-4de2-b0db-b1496bc7b94e","agentId":"a313f7db222ad21da","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01KfFyrWtqKf9YiDL2wC3iHj","type":"tool_result","content":"1\t# CreatorFlow Punch List\n2\t\n3\tThis list tracks the work needed to prove the first local AI workflow before broadening into a platform.\n4\t\n5\t## Project Standards\n6\t\n7\t- [x] Keep a repo-level todo/punch list as a standard project operating artifact.\n8\t- [x] Add project-level agent instructions requiring the punch list to stay current.\n9\t\n10\t## Discovery\n11\t\n12\t- [x] Prepare a first-agent discovery packet and acceptance criteria worksheet.\n13\t- [ ] Collect 5-8 raw walkthrough videos from the first real estate agent.\n14\t- [ ] Collect examples of posts/videos the agent considers publishable.\n15\t- [ ] Confirm target turnaround time, revision expectations, and pricing signal.\n16\t- [ ] Capture real estate compliance preferences and required brokerage/disclaimer language.\n17\t- [ ] Define first workflow acceptance criteria from the discovery conversation.\n18\t\n19\t## Product Guardrails\n20\t\n21\t- [x] Keep the first version concierge-first: client sends raw input, operator reviews, client receives finished output.\n22\t- [x] Require human approval before final rendered output is considered publishable.\n23\t- [x] Do not automate posting in the first version.\n24\t- [x] Use a licensed stock voice or explicitly approved voice only.\n25\t- [x] Track manual touch time per video to identify the next automation target.\n26\t\n27\t## Technical Foundation\n28\t\n29\t- [x] Initialize Python project scaffold with test runner.\n30\t- [x] Add local Postgres setup and initial migrations.\n31\t- [x] Model tenants, media assets, jobs, and job steps with approval state.\n32\t- [x] Build workflow config parser and runner with approval gates.\n33\t- [x] Build CLI commands for running workflows, checking status, and approving scripts.\n34\t- [x] Add media utilities for ffmpeg command construction and rendering.\n35\t- [x] Add a local no-paid-API demo render path that produces a playable vertical MP4 from the phone video.\n36\t- [x] Render transcript-derived TTS narration with synchronized captions and source audio muted by default.\n37\t- [x] Wire real transcription via OpenAI Whisper (`--transcription-provider whisper`). Audio is extracted before submission to avoid container format issues with the API.\n38\t- [x] Improve transcript cleanup: remove filler words, hesitation sounds, consecutive duplicate words. Re-capitalize after removal.\n39\t- [x] Caption timing uses Whisper segment timestamps (scaled to TTS duration) when available, with equal-duration chunks as the offline fallback.\n40\t- [x] Evaluate provider-backed word-level timestamps for tighter per-word caption sync (current path uses sentence-level segments).\n41\t- [x] Make local TTS verification stricter and investigate macOS `say` intermittently producing header-only audio before falling back to silent demo audio.\n42\t\n43\t## Listing URL Reel\n44\t\n45\t- [x] Research real-estate reel competitors, HeyGen/HyperFrames capabilities, listing-source terms, Instagram output requirements, and voice-cloning constraints.\n46\t- [x] Write an implementation-ready listing URL to Instagram reel plan.\n47\t- [x] Add a canonical authorized listing manifest with source policy, path confinement, rights attestation, and photo integrity hashes.\n48\t- [x] Add a single approval bundle covering facts, narration, caption, photo order, cover choice, and contact outro.\n49\t- [x] Render a 9:16 photo reel with restrained pan/zoom motion, captions, narration, and a contact outro.\n50\t- [x] Produce and visually QA two distinct HyperFrames portrait listing-reel variants from authorized local pilot media (private demo outputs remain ignored).\n51\t- [x] Revise the pilot reels with all supplied Horne listing photos and concise Richard Fowler contact-card outros; remove unsupported mood copy.\n52\t- [x] Generate a designed property cover and include it in the manual Instagram handoff package.\n53\t- [x] Require consent and audible output when cloned narration is requested.\n54\t- [x] Run and inspect a local approval-resume end-to-end listing reel render with a real fixture (intentional silent provider; live cloned-voice validation still requires owner consent and credentials).\n55\t- [x] Add Compass demo link-intake adapter (`--demo`) that materializes local photos + snapshot while keeping Zillow/etc. no-fetch and production rights as a ship blocker.\n56\t- [x] Soften photo-reel Ken Burns: continuous center scale (no zoompan), 60fps, CRF 18, light denoise, quality-first encode.\n57\t- [x] Force spoken “square feet” + city/state-only narration (no street “Dr=doctor”).\n58\t- [x] Write Richard-facing ElevenLabs PVC + optional HeyGen avatar setup steps for private share.\n59\t- [x] Local Coqui XTTS sample against Richard reference wav for pilot listen.\n60\t- [x] Add operator-facing pre/post render reel QA scorecards plus private review links for remote artifact checks.\n61\t- [x] Add a repeatable HyperFrames reel review command/skill plus a reboot-persistent private review server.\n62\t- [x] Fix hyperframes-video-review live CLI checks hanging: bound every review subprocess with a timeout, drop the network-dependent Gemini `snapshot --describe` step (unused by our scoring) and the update-check ping.\n63\t- [x] Add `hyperframes-add-narration` command + skill doc: standard, repeatable fix for a video-review \"missing required narration/audio\" hard failure (synthesize via local `say`, mux into the silent HyperFrames render).\n64\t- [x] Name packaged delivery videos consistently with early `property` / `recommendation` type segments for easier sharing and sorting.\n65\t- [ ] Wire natural voice default to Richard’s shared ElevenLabs PVC once he completes PVC share + consent.\n66\t- [ ] Optional: Coqui XTTS as first-class listing-reel TTS provider (research-only until PVC lands).\n67\t- [ ] Expand Compass gallery capture further / fail closed below min photo count for demos.\n68\t- [ ] PureRealty adapter after we clear cookie/login or get an authorized feed/export.\n69\t- [ ] Production rights path: broker attestation workflow + licensed Bridge/RESO option.\n70\t\n71\t## Before/After Contractor Reel Template\n72\t\n73\t- [x] Build a reusable HyperFrames before/after template (50/50 split-screen, before on top / after on bottom, portrait full-bleed) as a new reel family alongside the existing listing and recommendation reels.\n74\t- [x] Produce a landscaping demo instance (`output/hyperframes/landscaping-before-after-reel/`) with 4 before/after beats + shared contact-card outro, narration, and a passing script/video QA review.\n75\t- [x] Document swap points for reuse across other contractor trades (painter, remodeler, pool, etc.) in that project's `TEMPLATE-NOTES.md`.\n76\t- [x] Get one real (non-AI-generated) before/after photo set from an actual contractor to validate the template against real client media.\n77\t- [x] Multi-client support: swapped the demo's outro to a direct-brand-CTA variant (placeholder \"Contract Matcher\" brand, Morgan Hill CA, placeholder phone) instead of Richard's personal-referral card; documented the outro as the one \"client identity block\" to fork per client in `TEMPLATE-NOTES.md`.\n78\t- [x] Promoted the client identity block (brand name, outro headline/tagline/city/phone, avatar monogram, accent colors) to HyperFrames `data-composition-variables`, resolved at init and configurable via `client.config.json` (`--variables-file` at render time) instead of hand-edited HTML. Verified the override plumbing end-to-end with a throwaway low-fps render before finalizing.\n79\t- [ ] Get Contract Matcher's real business name, phone number (for the text-based scheduler being built separately), web address, and logo to replace the placeholders in `client.config.json`.\n80\t\n81\t## Testing\n82\t\n83\t- [x] Use TDD for deterministic business logic, config parsing, tenant scoping, approval gates, and media command construction.\n84\t- [x] Use BDD-style scenarios for the video narration workflow.\n85\t- [x] Mock paid/external APIs in the default test suite.\n86\t- [x] Add opt-in live integration tests only after mocked contracts are stable.\n87\t- [x] Add a short test video fixture for the end-to-end path.\n88\t- [x] Verify local render execution against the committed short video fixture.\n89\t\n90\t## Provider Setup\n91\t\n92\t- [x] Document local `.env` setup.\n93\t- [x] Document Neon database creation and migration steps.\n94\t- [x] Document Vercel env vars and deployment steps for any later approval UI/API.\n95\t- [x] Document Cloudflare DNS setup for the chosen domain/subdomain.\n96\t- [x] Keep long-running video rendering out of Vercel request handlers.\n97\t"}]},"uuid":"c453acda-4550-4821-8c94-e267012cf5ce","timestamp":"2026-07-20T14:01:35.168Z","sourceToolAssistantUUID":"1b4ae18f-4673-48b3-b683-b7672b28377a","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"033a4a00-9171-4e08-9a79-6b99f177355d","version":"2.1.128","gitBranch":"HEAD","slug":"mellow-wobbling-swan"}
{"parentUuid":"c453acda-4550-4821-8c94-e267012cf5ce","isSidechain":true,"agentId":"a313f7db222ad21da","message":{"model":"claude-haiku-4-5-20251001","id":"msg_011CdDS1NnKWiPh8mBhouQ7Q","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01N29pasGUZzZbp6C7JzoZXz","name":"Read","input":{"file_path":"/workspace/extra/projects/stagehand/core/listings/providers/registry.py"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":2335,"cache_read_input_tokens":19738,"output_tokens":142,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":2335},"inference_geo":"","iterations":[{"input_tokens":7,"output_tokens":142,"cache_read_input_tokens":19738,"cache_creation_input_tokens":2335,"cache_creation":{"ephemeral_5m_input_tokens":2335,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CdDS1MbP2kBq48KSks9a6","attributionAgent":"Explore","type":"assistant","uuid":"932919a1-2648-4aec-85d1-306c41f1b4b2","timestamp":"2026-07-20T14:01:35.266Z","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"033a4a00-9171-4e08-9a79-6b99f177355d","version":"2.1.128","gitBranch":"HEAD","slug":"mellow-wobbling-swan"}
{"parentUuid":"932919a1-2648-4aec-85d1-306c41f1b4b2","isSidechain":true,"promptId":"46a0401e-8f56-4de2-b0db-b1496bc7b94e","agentId":"a313f7db222ad21da","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01N29pasGUZzZbp6C7JzoZXz","type":"tool_result","content":"1\t\"\"\"Source-provider registry for authorized listing adapters.\"\"\"\n2\t\n3\tfrom __future__ import annotations\n4\t\n5\tfrom collections.abc import Callable\n6\tfrom pathlib import Path\n7\tfrom urllib.parse import urlsplit\n8\t\n9\tfrom core.listings.manifest import ListingManifestError, normalize_listing_url\n10\tfrom core.listings.models import ListingSnapshot\n11\tfrom core.listings.providers.compass import fetch_compass_listing, is_compass_listing_url\n12\t\n13\t\n14\tFetcher = Callable[[str], ListingSnapshot]\n15\t\n16\t\n17\tdef build_authorized_fetcher(\n18\t    *,\n19\t    media_root: str | Path,\n20\t    demo: bool = False,\n21\t    rights_confirmed: bool = False,\n22\t    http_get: Callable[[str], bytes] | None = None,\n23\t    max_photos: int = 20,\n24\t) -> Fetcher:\n25\t    \"\"\"Return a fetcher that routes allowlisted domains to their adapter.\n26\t\n27\t    Demo adapters require an explicit demo opt-in. Shipping still needs a real\n28\t    rights path; demo status is recorded on the snapshot provider string and\n29\t    attribution so the approval bundle remains honest.\n30\t    \"\"\"\n31\t\n32\t    root = Path(media_root)\n33\t\n34\t    def fetcher(listing_url: str) -> ListingSnapshot:\n35\t        normalized = normalize_listing_url(listing_url)\n36\t        host = (urlsplit(normalized).hostname or \"\").lower()\n37\t        if is_compass_listing_url(normalized):\n38\t            if not (demo or rights_confirmed):\n39\t                raise ListingManifestError(\n40\t                    \"Compass public page intake is demo-only without broker rights attestation. \"\n41\t                    \"Pass --demo (pilot) or --rights-confirmed once brokerage/photographer authorization exists.\"\n42\t                )\n43\t            snapshot = fetch_compass_listing(\n44\t                normalized,\n45\t                media_root=root,\n46\t                http_get=http_get,\n47\t                max_photos=max_photos,\n48\t            )\n49\t            if rights_confirmed and not demo:\n50\t                # Preserve demo string unless rights were explicitly asserted for a future\n51\t                # non-demo production path. For now both flags use the public demo provider,\n52\t                # but attribution already states the demojudge role; rights_confirmed is\n53\t                # still required as an operator assertion.\n54\t                return snapshot\n55\t            return snapshot\n56\t        raise ListingManifestError(\n57\t            f\"No authorized listing adapter is configured for {host or 'unknown host'}. \"\n58\t            \"Supply --manifest/--media-root, or use a supported demo source (compass.com).\"\n59\t        )\n60\t\n61\t    return fetcher\n62\t"}]},"uuid":"b9724717-303b-40ff-b2fc-f7a847860ce9","timestamp":"2026-07-20T14:01:35.274Z","sourceToolAssistantUUID":"932919a1-2648-4aec-85d1-306c41f1b4b2","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"033a4a00-9171-4e08-9a79-6b99f177355d","version":"2.1.128","gitBranch":"HEAD","slug":"mellow-wobbling-swan"}
{"parentUuid":"b9724717-303b-40ff-b2fc-f7a847860ce9","isSidechain":true,"agentId":"a313f7db222ad21da","message":{"model":"claude-haiku-4-5-20251001","id":"msg_011CdDS1ZSX8LuZkmT67gg3z","type":"message","role":"assistant","content":[{"type":"text","text":"Perfect. Now let me check what the current photo-collection logic looks like and verify if there's any min-photo enforcement:"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":3186,"cache_read_input_tokens":22073,"cache_creation":{"ephemeral_5m_input_tokens":3186,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"diagnostics":null},"requestId":"req_011CdDS1XNFW5Lb8MrxFJAeT","attributionAgent":"Explore","type":"assistant","uuid":"450d5c85-e8ce-4bf0-aaf6-a0aa85dc5818","timestamp":"2026-07-20T14:01:37.823Z","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"033a4a00-9171-4e08-9a79-6b99f177355d","version":"2.1.128","gitBranch":"HEAD","slug":"mellow-wobbling-swan"}
{"parentUuid":"450d5c85-e8ce-4bf0-aaf6-a0aa85dc5818","isSidechain":true,"agentId":"a313f7db222ad21da","message":{"model":"claude-haiku-4-5-20251001","id":"msg_011CdDS1ZSX8LuZkmT67gg3z","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01KhyjgCu7XqNhrqQFJupWmm","name":"Bash","input":{"command":"grep -n \"min.*photo\\|photo.*count\\|max_photos\" /workspace/extra/projects/stagehand/core/listings/providers/compass.py"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":3186,"cache_read_input_tokens":22073,"output_tokens":116,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":3186},"inference_geo":"","iterations":[{"input_tokens":7,"output_tokens":116,"cache_read_input_tokens":22073,"cache_creation_input_tokens":3186,"cache_creation":{"ephemeral_5m_input_tokens":3186,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CdDS1XNFW5Lb8MrxFJAeT","attributionAgent":"Explore","type":"assistant","uuid":"8838afe7-ba70-4565-927a-8762b2458a31","timestamp":"2026-07-20T14:01:38.203Z","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"033a4a00-9171-4e08-9a79-6b99f177355d","version":"2.1.128","gitBranch":"HEAD","slug":"mellow-wobbling-swan"}
{"parentUuid":"8838afe7-ba70-4565-927a-8762b2458a31","isSidechain":true,"promptId":"46a0401e-8f56-4de2-b0db-b1496bc7b94e","agentId":"a313f7db222ad21da","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01KhyjgCu7XqNhrqQFJupWmm","type":"tool_result","content":"162:    max_photos: int = 20,\n170:    for index, photo_url in enumerate(parsed.photo_urls[: max(1, max_photos)]):\n242:    max_photos: int = 20,\n258:        max_photos=max_photos,","is_error":false}]},"uuid":"7e837957-ea63-4c0a-8e0c-485113aad5d6","timestamp":"2026-07-20T14:01:38.223Z","sourceToolAssistantUUID":"8838afe7-ba70-4565-927a-8762b2458a31","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"033a4a00-9171-4e08-9a79-6b99f177355d","version":"2.1.128","gitBranch":"HEAD","slug":"mellow-wobbling-swan"}
{"parentUuid":"7e837957-ea63-4c0a-8e0c-485113aad5d6","isSidechain":true,"agentId":"a313f7db222ad21da","message":{"model":"claude-haiku-4-5-20251001","id":"msg_011CdDS1krN7UPHmrRwKnmTH","type":"message","role":"assistant","content":[{"type":"text","text":"Now let me look at the photo URL collection logic more carefully and check what sources are being scraped:"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":6,"cache_creation_input_tokens":195,"cache_read_input_tokens":25259,"cache_creation":{"ephemeral_5m_input_tokens":195,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"diagnostics":null},"requestId":"req_011CdDS1jr6JUfHXTyBMjrEg","attributionAgent":"Explore","type":"assistant","uuid":"17c203b5-ff8b-45d3-8f13-4e0694b89765","timestamp":"2026-07-20T14:01:39.820Z","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"033a4a00-9171-4e08-9a79-6b99f177355d","version":"2.1.128","gitBranch":"HEAD","slug":"mellow-wobbling-swan"}
{"parentUuid":"17c203b5-ff8b-45d3-8f13-4e0694b89765","isSidechain":true,"agentId":"a313f7db222ad21da","message":{"model":"claude-haiku-4-5-20251001","id":"msg_011CdDS1krN7UPHmrRwKnmTH","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01BPCZ63hvVUhRUwGXFBU1pA","name":"Read","input":{"file_path":"/workspace/extra/projects/stagehand/core/listings/providers/compass.py","offset":367,"limit":50},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":6,"cache_creation_input_tokens":195,"cache_read_input_tokens":25259,"output_tokens":128,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":195},"inference_geo":"","iterations":[{"input_tokens":6,"output_tokens":128,"cache_read_input_tokens":25259,"cache_creation_input_tokens":195,"cache_creation":{"ephemeral_5m_input_tokens":195,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CdDS1jr6JUfHXTyBMjrEg","attributionAgent":"Explore","type":"assistant","uuid":"f36548d7-5450-42da-9788-e93f9664b598","timestamp":"2026-07-20T14:01:40.196Z","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"033a4a00-9171-4e08-9a79-6b99f177355d","version":"2.1.128","gitBranch":"HEAD","slug":"mellow-wobbling-swan"}
{"parentUuid":"f36548d7-5450-42da-9788-e93f9664b598","isSidechain":true,"promptId":"46a0401e-8f56-4de2-b0db-b1496bc7b94e","agentId":"a313f7db222ad21da","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01BPCZ63hvVUhRUwGXFBU1pA","type":"tool_result","content":"367\tdef _collect_photo_urls(\n368\t    html: str,\n369\t    listing: Mapping[str, Any] | None,\n370\t    ld: Mapping[str, Any],\n371\t) -> tuple[str, ...]:\n372\t    urls: list[str] = []\n373\t    if listing is not None:\n374\t        media = listing.get(\"media\")\n375\t        if isinstance(media, Mapping):\n376\t            for key in (\"originalUrl\", \"thumbnailUrl\", \"url\"):\n377\t                value = media.get(key)\n378\t                if isinstance(value, str) and value.startswith(\"http\"):\n379\t                    urls.append(value)\n380\t        elif isinstance(media, list):\n381\t            for item in media:\n382\t                if not isinstance(item, Mapping):\n383\t                    continue\n384\t                for key in (\"originalUrl\", \"url\", \"thumbnailUrl\"):\n385\t                    value = item.get(key)\n386\t                    if isinstance(value, str) and value.startswith(\"http\"):\n387\t                        urls.append(value)\n388\t                        break\n389\t    image = ld.get(\"image\")\n390\t    if isinstance(image, list):\n391\t        for item in image:\n392\t            if isinstance(item, str) and item.startswith(\"http\"):\n393\t                urls.append(item)\n394\t            elif isinstance(item, Mapping):\n395\t                value = item.get(\"url\") or item.get(\"contentUrl\")\n396\t                if isinstance(value, str) and value.startswith(\"http\"):\n397\t                    urls.append(value)\n398\t    elif isinstance(image, str) and image.startswith(\"http\"):\n399\t        urls.append(image)\n400\t    elif isinstance(image, Mapping):\n401\t        value = image.get(\"url\") or image.get(\"contentUrl\")\n402\t        if isinstance(value, str) and value.startswith(\"http\"):\n403\t            urls.append(value)\n404\t\n405\t    for match in _COMPASS_MEDIA_RE.findall(html):\n406\t        urls.append(match)\n407\t    for media_hash in _MEDIA_HASH_RE.findall(html):\n408\t        urls.append(f\"https://www.compass.com/m/{media_hash}/origin.jpg\")\n409\t\n410\t    return _prefer_origin_unique(urls)\n411\t\n412\t\n413\tdef _prefer_origin_unique(urls: Sequence[str]) -> tuple[str, ...]:\n414\t    best: dict[str, str] = {}\n415\t    order: list[str] = []\n416\t    for url in urls:"}]},"uuid":"2735d85a-7e1c-4f82-8a0c-81e0c4beb0ae","timestamp":"2026-07-20T14:01:40.246Z","sourceToolAssistantUUID":"f36548d7-5450-42da-9788-e93f9664b598","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"033a4a00-9171-4e08-9a79-6b99f177355d","version":"2.1.128","gitBranch":"HEAD","slug":"mellow-wobbling-swan"}
{"parentUuid":"2735d85a-7e1c-4f82-8a0c-81e0c4beb0ae","isSidechain":true,"agentId":"a313f7db222ad21da","message":{"model":"claude-haiku-4-5-20251001","id":"msg_011CdDS1uLrBs7cmzAnXQa3N","type":"message","role":"assistant","content":[{"type":"text","text":"Perfect. I now have enough information. Let me compile my findings:\n\n## Summary\n\n**Current Compass Adapter State:**\n\nThe Compass adapter (`core/listings/providers/compass.py`) is a demo-only intake for compass.com listing pages. It:\n- Extracts listing facts (address, price, beds, baths, sqft, description, agent name) from HTML via `window.__INITIAL_DATA__` JSON or JSON-LD schema\n- Collects photos from four sources: (1) `__INITIAL_DATA__.props.listingRelation.listing.media` array, (2) JSON-LD `image` field, (3) regex pattern matching `/m/[0-9a-f]{40,}/` media hashes in raw HTML, (4) Compass media URL regex (lines 405-408)\n- Deduplicates URLs by media hash and prefers `/origin.` and `.jpg` variants (lines 413-441)\n- Downloads up to `max_photos` (default 20) and materializes them locally with SHA256 hashes\n- Requires `--demo` flag at CLI level (registry.py enforces this)\n\n**\"Expand Gallery Capture Further\":**\n\nCurrently, photos are scraped from only **existing HTML metadata** (embedded JSON + regex patterns). The task is to expand this to capture a larger/complete photo gallery. Compass likely exposes more photos through pagination, lazy-loaded content, or API calls that the current HTML regex parsing misses. The adapter would need additional discovery logic to fetch all gallery photos, not just those already in the initial page HTML.\n\n**\"Fail Closed Below Min Photo Count\":**\n\nThere is **NO minimum photo check** currently. The code (line 128-129) only rejects listings with zero photos (`if not photo_urls`), and later (line 195-196) rejects if zero photos download. There's no explicit minimum threshold (e.g., \"reject if < 5 photos\"). The task is to add a configurable minimum (e.g., require 5+ photos for demo acceptance) and fail explicitly if that threshold isn't met, rather than proceeding with fewer photos.\n\n**Existing Tests:**\n- `/workspace/extra/projects/stagehand/tests/test_compass_provider.py` covers: URL validation, fact extraction from fixture HTML, photo deduplication, materialization + manifest writing, registry gating (--demo required), and error cases (empty HTML, no photos, network failures)."}],"stop_reason":"end_turn","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":5,"cache_creation_input_tokens":900,"cache_read_input_tokens":25454,"output_tokens":562,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":900},"inference_geo":"","iterations":[{"input_tokens":5,"output_tokens":562,"cache_read_input_tokens":25454,"cache_creation_input_tokens":900,"cache_creation":{"ephemeral_5m_input_tokens":900,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CdDS1t3TniDt6GW46yggd","attributionAgent":"Explore","type":"assistant","uuid":"412c234e-ee4b-4fb9-a4e8-a9e8d1b4e3aa","timestamp":"2026-07-20T14:01:48.801Z","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"033a4a00-9171-4e08-9a79-6b99f177355d","version":"2.1.128","gitBranch":"HEAD","slug":"mellow-wobbling-swan"}