Arena run #370

You are an Arena strategy executor. You must follow the strategy rules strictly and output ONLY valid JSON. You are NOT allowed to invent prices, fundamentals, earnings dates, or sentiment. If a field is null/empty, treat it as unknown. You are a constrained selector (no narrative).

{"task": "stage1_universe_scan", "region": "EU", "strategy": {"key": "meanrev-v1", "name": "Two-Stage LLM Mean-Reversion (Arena v1)", "rules": {"max_positions": 10, "max_buys_per_run": 2, "avoid_overtrading": true, "max_sells_per_run": 2, "max_gross_leverage": 3.0, "fixed_position_size": 3000.0, "universe_symbols_eu": [], "universe_symbols_us": []}}, "selection_rules": {"horizon": "2-10 trading days", "target": "short-term mean reversion in liquid equities", "constraints": ["Select exactly 5 candidates", "Avoid earnings within 5 trading days (if known)", "Avoid highly binary/event-driven moves (if known)", "Avoid sector concentration: max 1 per sector unless clearly justified (sector may be unknown)"]}, "universe": [{"symbol": "CCL_CFD.UK", "name": "CARNIVAL PLC", "sector": "", "last_price": 2385.0, "change_1d_pct": -1.6089108910891103, "distance_from_ma200_pct": null, "distance_from_ma50_pct": 7.926929998438448, "volatility_20d_pct": 4392.230277210259, "market_cap_usd": null, "avg_daily_volume_usd": null, "days_to_next_earnings": null, "earnings_confirmed": null, "news_sentiment_score": null, "news_headlines_last_3": [], "data_quality_note": "snapshot_ok_prices_technicals_only"}, {"symbol": "WIZZ_CFD.UK", "name": "WIZZ AIR HOLDINGS PLC", "sector": "", "last_price": 1403.0, "change_1d_pct": 0.8626887131560013, "distance_from_ma200_pct": 12.315696286669354, "distance_from_ma50_pct": 8.235260718145199, "volatility_20d_pct": 106.92938780570063, "market_cap_usd": null, "avg_daily_volume_usd": null, "days_to_next_earnings": null, "earnings_confirmed": null, "news_sentiment_score": null, "news_headlines_last_3": [], "data_quality_note": "snapshot_ok_prices_technicals_only"}, {"symbol": "DLN_CFD.UK", "name": "DERWENT LONDON PLC", "sector": "", "last_price": 1953.0, "change_1d_pct": 10.401356698699837, "distance_from_ma200_pct": 5.069478604951705, "distance_from_ma50_pct": 12.150447212111025, "volatility_20d_pct": 115.39088732649292, "market_cap_usd": null, "avg_daily_volume_usd": null, "days_to_next_earnings": null, "earnings_confirmed": null, "news_sentiment_score": null, "news_headlines_last_3": [], "data_quality_note": "snapshot_ok_prices_technicals_only"}, {"symbol": "TUI1_CFD.DE", "name": "", "sector": "", "last_price": 7.406, "change_1d_pct": -6.027153914477868, "distance_from_ma200_pct": -7.568442223724048, "distance_from_ma50_pct": -16.089589036129304, "volatility_20d_pct": 88.80272391003092, "market_cap_usd": null, "avg_daily_volume_usd": null, "days_to_next_earnings": null, "earnings_confirmed": null, "news_sentiment_score": null, "news_headlines_last_3": [], "data_quality_note": "snapshot_ok_prices_technicals_only"}, {"symbol": "CRDA_CFD.UK", "name": "CRODA INTERNATIONAL PLC", "sector": "", "last_price": 3121.0, "change_1d_pct": 13.367235742826011, "distance_from_ma200_pct": 10.093851216079353, "distance_from_ma50_pct": 9.83246554776207, "volatility_20d_pct": 109.18178749390499, "market_cap_usd": null, "avg_daily_volume_usd": null, "days_to_next_earnings": null, "earnings_confirmed": null, "news_sentiment_score": null, "news_headlines_last_3": [], "data_quality_note": "snapshot_ok_prices_technicals_only"}, {"symbol": "ADJ_CFD.DE", "name": "ADLER GROUP SA", "sector": "", "last_price": 0.199, "change_1d_pct": -4.784688995215303, "distance_from_ma200_pct": -5.481143725657822, "distance_from_ma50_pct": 2.6619892695006087, "volatility_20d_pct": 307.67398813688357, "market_cap_usd": null, "avg_daily_volume_usd": null, "days_to_next_earnings": null, "earnings_confirmed": null, "news_sentiment_score": null, "news_headlines_last_3": [], "data_quality_note": "snapshot_ok_prices_technicals_only"}, {"symbol": "UKW_CFD.UK", "name": "GREENCOAT UK WIND PLC", "sector": "", "last_price": 98.15, "change_1d_pct": -2.163078149920239, "distance_from_ma200_pct": -12.46829595436757, "distance_from_ma50_pct": -6.845149398930528, "volatility_20d_pct": 32.62462101640031, "market_cap_usd": null, "avg_daily_volume_usd": null, "days_to_next_earnings": null, "earnings_confirmed": null, "news_sentiment_score": null, "news_headlines_last_3": [], "data_quality_note": "snapshot_ok_prices_technicals_only"}, {"symbol": "EZJ_CFD.UK", "name": "EASYJET PLC", "sector": "", "last_price": 463.4, "change_1d_pct": -4.216618437370823, "distance_from_ma200_pct": -7.198662250893051, "distance_from_ma50_pct": -5.177155429252423, "volatility_20d_pct": 79.61549927100283, "market_cap_usd": null, "avg_daily_volume_usd": null, "days_to_next_earnings": null, "earnings_confirmed": null, "news_sentiment_score": null, "news_headlines_last_3": [], "data_quality_note": "snapshot_ok_prices_technicals_only"}, {"symbol": "HIK_CFD.UK", "name": "HIKMA PHARMACEUTICALS PLC", "sector": "", "last_price": 1342.0, "change_1d_pct": -14.24920127795527, "distance_from_ma200_pct": -25.484908209150536, "distance_from_ma50_pct": -13.193905410076656, "volatility_20d_pct": 150.6436529845701, "market_cap_usd": null, "avg_daily_volume_usd": null, "days_to_next_earnings": null, "earnings_confirmed": null, "news_sentiment_score": null, "news_headlines_last_3": [], "data_quality_note": "snapshot_ok_prices_technicals_only"}, {"symbol": "PSN_CFD.UK", "name": "", "sector": "", "last_price": 1534.5, "change_1d_pct": 7.382785164450656, "distance_from_ma200_pct": 21.219431937066368, "distance_from_ma50_pct": 9.190705106538676, "volatility_20d_pct": 86.88935643255697, "market_cap_usd": null, "avg_daily_volume_usd": null, "days_to_next_earnings": null, "earnings_confirmed": null, "news_sentiment_score": null, "news_headlines_last_3": [], "data_quality_note": "snapshot_ok_prices_technicals_only"}, {"symbol": "STM_CFD.DE", "name": "", "sector": "", "last_price": 18.48, "change_1d_pct": -3.251138683838539, "distance_from_ma200_pct": -18.91400935999108, "distance_from_ma50_pct": -6.520971574888945, "volatility_20d_pct": 66.36614189699937, "market_cap_usd": null, "avg_daily_volume_usd": null, "days_to_next_earnings": null, 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              "text": "**Defining the Initial Scope**\n\nI'm now zeroing in on defining the initial scope for this stock selection process. My focus is on EU stocks suitable for a short-term mean reversion strategy with a 2-10 day horizon. The critical constraint is the selection of *exactly* five stocks. This is Stage 1 of the scan.\n\n\n**Analyzing Potential Candidates**\n\nI've been analyzing potential stock candidates for mean reversion. I've rejected CCL_CFD.UK and CRDA_CFD.UK due to data quality/extreme volatility and overbought conditions, respectively. TUI1_CFD.DE, UKW_CFD.UK, EZJ_CFD.UK look promising, being mildly or clearly oversold.  HIK_CFD.UK's -14.2% drop raises a red flag; I need to investigate for potential binary events, and ADJ_CFD.DE presents high risk as a penny stock.\n\n\n**Evaluating Further Candidates**\n\nI've continued evaluating potential candidates, and am logging daily and MA50 performance. I'm noting significant one-day drops, specifically looking at JUN3, TTK, and CCC, and checking the data for earnings, too. Many are intriguing, including TTK and JUN3, for potential entry points.\n\n\n**Assessing Market Fluctuations**\n\nI'm now assessing recent market fluctuations. I've noted significant 1-day percentage changes, focusing on stocks dipping below their MA50. BYIT_CFD.UK and FUTR_CFD.UK, the latter showing a massive -20.8% drop, stand out. I've rejected FUTR due to the likely binary event. Other interesting candidates include TTK_CFD.DE, TUI1_CFD.DE, and XFAB_CFD.FR for potential oversold dip buying opportunities. I am also noting data anomalies, like COTY_CFD.US, and prioritizing purely EU-domiciled stocks.\n\n\n**Prioritizing Potential Targets**\n\nI'm now prioritizing potential targets based on percentage drops versus the MA50. BYIT_CFD.UK and JUN3_CFD.DE are at the top of the list, both with significant 1-day declines. I'm also considering XFAB_CFD.FR, EZJ_CFD.UK, STM_CFD.DE, and KRN_CFD.DE. I'm taking note of COTY_CFD.US as well. Additionally, I'm noting potential short candidates, including MCG_CFD.UK, CFEB_CFD.BE, IMI_CFD.UK, HLMA_CFD.UK and CRDA_CFD.UK for their extreme extensions. I am aiming for a mix of both types of targets, since I am permitted to do short positions.\n\n\n**Refining Final Selection**\n\nI'm now refining the final stock selection, keeping in mind the two-short limit per run. I'm leaning towards IMI and MCG for shorts. For buys, TUI1, XFAB and STM look attractive, with TTK also a consideration. I'll stick with XFAB and TUI, I believe those represent more diverse risk.\n\n\n**Finalizing Candidate Choices**\n\nI've finalized my selections, now confident in their potential for mean reversion. I've chosen TUI1, TTK, and XFAB for buys, and MCG and IMI for shorts. I'm focusing on diversification with TTK and XFAB. I am sticking with my assessment.\n\n\n**Confirming the Final Five**\n\nI'm now confirming the final five choices, and I am satisfied with the current choices. I have swapped out MCG for HLMA for diversification reasons, and have checked to ensure the candidates are within my selection criteria, with a strong focus on avoiding potentially too volatile stocks. I've re-assessed BYIT and JUN3, opting to stick with the original picks.\n\n\n**Adjusting Strategy Constraints**\n\nI'm now making final adjustments to ensure compliance with the strategy constraints, which I need to interpret correctly. I've re-reviewed the buy limits and I need to reduce the buy candidates to 2, so I can provide five candidates total. I have confirmed that HLMA and IMI are valid shorts. I am leaning toward keeping TUI1 and TTK and removing XFAB for now.\n\n\n\n",
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",
              "type": "reasoning.encrypted",
              "index": 1,
              "format": "google-gemini-v1"
            }
          ]
        },
        "logprobs": null,
        "finish_reason": "length",
        "native_finish_reason": "MAX_TOKENS"
      }
    ],
    "created": 1772453079,
    "provider": "Google AI Studio"
  }
}

You are an Arena portfolio manager. You must follow the strategy rules strictly and output ONLY valid JSON. You are NOT allowed to invent prices/fundamentals/news/earnings. If a field is null/empty, treat it as unknown. Avoid overtrading: if changes are marginal, prefer HOLD. Do not churn.

{"task": "stage2_portfolio_management", "region": "EU", "strategy": {"key": "meanrev-v1", "name": "Two-Stage LLM Mean-Reversion (Arena v1)", "rules": {"max_positions": 10, "max_buys_per_run": 2, "avoid_overtrading": true, "max_sells_per_run": 2, "max_gross_leverage": 3.0, "fixed_position_size": 3000.0, "universe_symbols_eu": [], "universe_symbols_us": []}}, "portfolio_constraints": {"initial_equity": 10000.0, "max_positions": 10, "fixed_position_size": 3000.0, "max_gross_leverage": 3.0, "overtrading_rules": ["Max 2 SELL actions per run unless risk event forces more", "Max 2 BUY actions per run", "If no clear improvement vs current holdings, output HOLD for everything"]}, "current_portfolio": [{"symbol": "ATE_CFD.FR", "qty": 48.115477145148354, "avg_price": 62.35, "last_price": 61.55, "unrealized_pnl": -38.492381716118885, "opened_at": "2026-02-27T18:23:55.960577+00:00"}, {"symbol": "CABO_CFD.US", "qty": 31.71247357293869, "avg_price": 94.6, "last_price": 96.44, "unrealized_pnl": 58.3509513742073, "opened_at": "2026-02-27T18:23:55.960577+00:00"}, {"symbol": "HIK_CFD.UK", "qty": 2.1306818181818183, "avg_price": 1408.0, "last_price": 1275.0, "unrealized_pnl": -283.3806818181818, "opened_at": "2026-02-26T10:33:24.101894+00:00"}, {"symbol": "LIO_CFD.UK", "qty": 12.0, "avg_price": 250.0, "last_price": 270.0, "unrealized_pnl": 240.0, "opened_at": "2026-02-26T10:33:24.101894+00:00"}, {"symbol": "MKS_CFD.UK", "qty": 7.5452716297786715, "avg_price": 397.6, "last_price": 389.5, "unrealized_pnl": -61.11670020120741, "opened_at": "2026-03-01T10:30:13.622938+00:00"}, {"symbol": "PZC_CFD.UK", "qty": 36.67481662591687, "avg_price": 81.8, "last_price": 82.2, "unrealized_pnl": 14.669926650366955, "opened_at": "2026-03-01T10:30:13.622938+00:00"}, {"symbol": "UKW_CFD.UK", "qty": 32.48511099079589, "avg_price": 92.35, "last_price": 92.35, "unrealized_pnl": 0.0, "opened_at": "2026-02-25T17:57:28.313088+00:00"}, {"symbol": "WIZZ_CFD.UK", "qty": 2.3094688221709005, "avg_price": 1299.0, "last_price": 1299.0, "unrealized_pnl": 0.0, "opened_at": "2026-02-25T17:57:28.313088+00:00"}], "candidates": [], "output_schema": {"actions": {"sell": [{"symbol": "string", "reason": "string"}], "hold": [{"symbol": "string", "reason": "string"}], "buy": [{"symbol": "string", "position_size": "number (currency amount)", "reason": "string"}]}, "portfolio_rationale": "string"}}

{
  "actions": {
    "buy": [],
    "hold": [
      {
        "reason": "Minor unrealized loss; holding for mean reversion thesis to play out.",
        "symbol": "ATE_CFD.FR"
      },
      {
        "reason": "Position is slightly profitable; holding for further upside potential.",
        "symbol": "CABO_CFD.US"
      },
      {
        "reason": "Significant drawdown (-9.4%), but holding for potential mean reversion bounce as no stop-loss rule was triggered.",
        "symbol": "HIK_CFD.UK"
      },
      {
        "reason": "Recent entry with minor fluctuation; holding.",
        "symbol": "MKS_CFD.UK"
      },
      {
        "reason": "Slightly profitable; holding.",
        "symbol": "PZC_CFD.UK"
      },
      {
        "reason": "Flat performance; holding.",
        "symbol": "UKW_CFD.UK"
      },
      {
        "reason": "Flat performance; holding.",
        "symbol": "WIZZ_CFD.UK"
      }
    ],
    "sell": [
      {
        "reason": "Profit taking: Position has gained ~8% since entry, suggesting a successful reversion to or beyond the mean.",
        "symbol": "LIO_CFD.UK"
      }
    ]
  },
  "portfolio_rationale": "No new candidates were provided for entry. The strategy focuses on managing existing risk and capturing realized gains. LIO_CFD.UK is sold to lock in an ~8% profit, consistent with mean reversion exit logic. HIK_CFD.UK is retained despite the drawdown to avoid realizing losses prematurely before a potential technical bounce. All other positions are held as they show no significant deviation warranting action."
}

{
  "raw": {
    "id": "gen-1772453078-vAJfPpBnNn1xFncJYHZB",
    "model": "google/gemini-3-pro-preview",
    "usage": {
      "cost": 0.071552,
      "is_byok": false,
      "cost_details": {
        "upstream_inference_cost": 0.071552,
        "upstream_inference_prompt_cost": 0.023756,
        "upstream_inference_completions_cost": 0.047796
      },
      "total_tokens": 15861,
      "prompt_tokens": 11878,
      "completion_tokens": 3983,
      "prompt_tokens_details": {
        "audio_tokens": 0,
        "video_tokens": 0,
        "cached_tokens": 0,
        "cache_write_tokens": 0
      },
      "completion_tokens_details": {
        "image_tokens": 0,
        "reasoning_tokens": 3840
      }
    },
    "object": "chat.completion",
    "choices": [
      {
        "index": 0,
        "message": {
          "role": "assistant",
          "content": "{\n    \"selected_stocks\": [\n        {\n            \"symbol\": \"TUI1_CFD.DE\",\n            \"mean_reversion_score\": 88,\n            \"selection_reason\": \"Oversold condition: -6.0% 1d change and -16.1% vs MA50, suitable for mean reversion bounce.\"\n        },\n        {\n            \"symbol\": \"TTK_CFD.DE\",\n            \"mean_reversion_score\": 85,\n            \"selection_reason\": \"Oversold condition: -3.5% 1d change and -13.1%",
          "refusal": null,
          "reasoning": "**Defining the Initial Scope**\n\nI'm now zeroing in on defining the initial scope for this stock selection process. My focus is on EU stocks suitable for a short-term mean reversion strategy with a 2-10 day horizon. The critical constraint is the selection of *exactly* five stocks. This is Stage 1 of the scan.\n\n\n**Analyzing Potential Candidates**\n\nI've been analyzing potential stock candidates for mean reversion. I've rejected CCL_CFD.UK and CRDA_CFD.UK due to data quality/extreme volatility and overbought conditions, respectively. TUI1_CFD.DE, UKW_CFD.UK, EZJ_CFD.UK look promising, being mildly or clearly oversold.  HIK_CFD.UK's -14.2% drop raises a red flag; I need to investigate for potential binary events, and ADJ_CFD.DE presents high risk as a penny stock.\n\n\n**Evaluating Further Candidates**\n\nI've continued evaluating potential candidates, and am logging daily and MA50 performance. I'm noting significant one-day drops, specifically looking at JUN3, TTK, and CCC, and checking the data for earnings, too. Many are intriguing, including TTK and JUN3, for potential entry points.\n\n\n**Assessing Market Fluctuations**\n\nI'm now assessing recent market fluctuations. I've noted significant 1-day percentage changes, focusing on stocks dipping below their MA50. BYIT_CFD.UK and FUTR_CFD.UK, the latter showing a massive -20.8% drop, stand out. I've rejected FUTR due to the likely binary event. Other interesting candidates include TTK_CFD.DE, TUI1_CFD.DE, and XFAB_CFD.FR for potential oversold dip buying opportunities. I am also noting data anomalies, like COTY_CFD.US, and prioritizing purely EU-domiciled stocks.\n\n\n**Prioritizing Potential Targets**\n\nI'm now prioritizing potential targets based on percentage drops versus the MA50. BYIT_CFD.UK and JUN3_CFD.DE are at the top of the list, both with significant 1-day declines. I'm also considering XFAB_CFD.FR, EZJ_CFD.UK, STM_CFD.DE, and KRN_CFD.DE. I'm taking note of COTY_CFD.US as well. Additionally, I'm noting potential short candidates, including MCG_CFD.UK, CFEB_CFD.BE, IMI_CFD.UK, HLMA_CFD.UK and CRDA_CFD.UK for their extreme extensions. I am aiming for a mix of both types of targets, since I am permitted to do short positions.\n\n\n**Refining Final Selection**\n\nI'm now refining the final stock selection, keeping in mind the two-short limit per run. I'm leaning towards IMI and MCG for shorts. For buys, TUI1, XFAB and STM look attractive, with TTK also a consideration. I'll stick with XFAB and TUI, I believe those represent more diverse risk.\n\n\n**Finalizing Candidate Choices**\n\nI've finalized my selections, now confident in their potential for mean reversion. I've chosen TUI1, TTK, and XFAB for buys, and MCG and IMI for shorts. I'm focusing on diversification with TTK and XFAB. I am sticking with my assessment.\n\n\n**Confirming the Final Five**\n\nI'm now confirming the final five choices, and I am satisfied with the current choices. I have swapped out MCG for HLMA for diversification reasons, and have checked to ensure the candidates are within my selection criteria, with a strong focus on avoiding potentially too volatile stocks. I've re-assessed BYIT and JUN3, opting to stick with the original picks.\n\n\n**Adjusting Strategy Constraints**\n\nI'm now making final adjustments to ensure compliance with the strategy constraints, which I need to interpret correctly. I've re-reviewed the buy limits and I need to reduce the buy candidates to 2, so I can provide five candidates total. I have confirmed that HLMA and IMI are valid shorts. I am leaning toward keeping TUI1 and TTK and removing XFAB for now.\n\n\n\n",
          "annotations": [],
          "reasoning_details": [
            {
              "text": "**Defining the Initial Scope**\n\nI'm now zeroing in on defining the initial scope for this stock selection process. My focus is on EU stocks suitable for a short-term mean reversion strategy with a 2-10 day horizon. The critical constraint is the selection of *exactly* five stocks. This is Stage 1 of the scan.\n\n\n**Analyzing Potential Candidates**\n\nI've been analyzing potential stock candidates for mean reversion. I've rejected CCL_CFD.UK and CRDA_CFD.UK due to data quality/extreme volatility and overbought conditions, respectively. TUI1_CFD.DE, UKW_CFD.UK, EZJ_CFD.UK look promising, being mildly or clearly oversold.  HIK_CFD.UK's -14.2% drop raises a red flag; I need to investigate for potential binary events, and ADJ_CFD.DE presents high risk as a penny stock.\n\n\n**Evaluating Further Candidates**\n\nI've continued evaluating potential candidates, and am logging daily and MA50 performance. I'm noting significant one-day drops, specifically looking at JUN3, TTK, and CCC, and checking the data for earnings, too. Many are intriguing, including TTK and JUN3, for potential entry points.\n\n\n**Assessing Market Fluctuations**\n\nI'm now assessing recent market fluctuations. I've noted significant 1-day percentage changes, focusing on stocks dipping below their MA50. BYIT_CFD.UK and FUTR_CFD.UK, the latter showing a massive -20.8% drop, stand out. I've rejected FUTR due to the likely binary event. Other interesting candidates include TTK_CFD.DE, TUI1_CFD.DE, and XFAB_CFD.FR for potential oversold dip buying opportunities. I am also noting data anomalies, like COTY_CFD.US, and prioritizing purely EU-domiciled stocks.\n\n\n**Prioritizing Potential Targets**\n\nI'm now prioritizing potential targets based on percentage drops versus the MA50. BYIT_CFD.UK and JUN3_CFD.DE are at the top of the list, both with significant 1-day declines. I'm also considering XFAB_CFD.FR, EZJ_CFD.UK, STM_CFD.DE, and KRN_CFD.DE. I'm taking note of COTY_CFD.US as well. Additionally, I'm noting potential short candidates, including MCG_CFD.UK, CFEB_CFD.BE, IMI_CFD.UK, HLMA_CFD.UK and CRDA_CFD.UK for their extreme extensions. I am aiming for a mix of both types of targets, since I am permitted to do short positions.\n\n\n**Refining Final Selection**\n\nI'm now refining the final stock selection, keeping in mind the two-short limit per run. I'm leaning towards IMI and MCG for shorts. For buys, TUI1, XFAB and STM look attractive, with TTK also a consideration. I'll stick with XFAB and TUI, I believe those represent more diverse risk.\n\n\n**Finalizing Candidate Choices**\n\nI've finalized my selections, now confident in their potential for mean reversion. I've chosen TUI1, TTK, and XFAB for buys, and MCG and IMI for shorts. I'm focusing on diversification with TTK and XFAB. I am sticking with my assessment.\n\n\n**Confirming the Final Five**\n\nI'm now confirming the final five choices, and I am satisfied with the current choices. I have swapped out MCG for HLMA for diversification reasons, and have checked to ensure the candidates are within my selection criteria, with a strong focus on avoiding potentially too volatile stocks. I've re-assessed BYIT and JUN3, opting to stick with the original picks.\n\n\n**Adjusting Strategy Constraints**\n\nI'm now making final adjustments to ensure compliance with the strategy constraints, which I need to interpret correctly. I've re-reviewed the buy limits and I need to reduce the buy candidates to 2, so I can provide five candidates total. I have confirmed that HLMA and IMI are valid shorts. I am leaning toward keeping TUI1 and TTK and removing XFAB for now.\n\n\n\n",
              "type": "reasoning.text",
              "index": 0,
              "format": "google-gemini-v1"
            },
            {
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",
              "type": "reasoning.encrypted",
              "index": 1,
              "format": "google-gemini-v1"
            }
          ]
        },
        "logprobs": null,
        "finish_reason": "length",
        "native_finish_reason": "MAX_TOKENS"
      }
    ],
    "created": 1772453079,
    "provider": "Google AI Studio"
  }
}