Add o1 agents to bet simulation script #453
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WalkthroughThe changes involve the addition of new agent configurations and an expansion of betting strategies within the Changes
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Actionable comments posted: 0
🧹 Outside diff range and nitpick comments (1)
examples/monitor/match_bets_with_langfuse_traces.py (1)
89-90: LGTM! Consider improving readability.The addition of new agents to the
agent_gcp_secret_mapis consistent with the existing pattern and naming conventions.To improve readability, consider grouping related agents together or adding comments to separate different types of agents. For example:
agent_gcp_secret_map = { # GPT-4 based agents "DeployablePredictionProphetGPT4TurboFinalAgent": "pma-prophetgpt4turbo-final", "DeployablePredictionProphetGPT4TurboPreviewAgent": "pma-prophetgpt4", "DeployablePredictionProphetGPT4oAgent": "pma-prophetgpt3", # GPT-3.5 based agents "DeployablePredictionProphetGPTo1PreviewAgent": "pma-prophet-o1-preview", "DeployablePredictionProphetGPTo1MiniAgent": "pma-prophet-o1-mini", # Other specialized agents "DeployableOlasEmbeddingOAAgent": "pma-evo-olas-embeddingoa", "DeployableThinkThoroughlyAgent": "pma-think-thoroughly", "DeployableThinkThoroughlyProphetResearchAgent": "pma-think-thoroughly-prophet-research", "DeployableKnownOutcomeAgent": "pma-knownoutcome", }This organization makes it easier to understand the different types of agents at a glance.
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📒 Files selected for processing (1)
- examples/monitor/match_bets_with_langfuse_traces.py (1 hunks)
🔇 Additional comments (2)
examples/monitor/match_bets_with_langfuse_traces.py (2)
Line range hint
1-214: Overall assessment: Changes enhance script capabilities with room for minor improvements.The additions to this file significantly expand its capabilities for testing and comparing different betting strategies across various agent configurations. The new agent entries and the comprehensive set of betting strategies are well-integrated with the existing code structure.
Key points:
- New agent configurations added to
agent_gcp_secret_map.- Expanded set of betting strategies with varying bet amounts.
While the changes are generally good, there are opportunities for improvement:
- Consider grouping related agents in
agent_gcp_secret_mapfor better readability.- Refactor the strategy initialization to reduce code duplication and improve maintainability.
These changes align well with the PR objectives of introducing new betting strategies and comparing their performance across different agent configurations.
Line range hint
101-114: LGTM! Consider refactoring for improved maintainability.The addition of multiple betting strategies with varying bet amounts provides a comprehensive set for testing and comparison. This approach allows for a thorough analysis of strategy performance across different scales.
To improve maintainability and reduce code duplication, consider refactoring the strategy initialization. Here's a suggestion:
def create_strategies(bet_amounts): strategy_classes = [ MaxAccuracyBettingStrategy, KellyBettingStrategy, MaxAccuracyWithKellyScaledBetsStrategy, MaxExpectedValueBettingStrategy ] strategies = [] for strategy_class in strategy_classes: for amount in bet_amounts: if strategy_class in [KellyBettingStrategy, MaxAccuracyWithKellyScaledBetsStrategy]: strategies.append(strategy_class(max_bet_amount=amount)) else: strategies.append(strategy_class(bet_amount=amount)) return strategies bet_amounts = [1, 2, 25] strategies = create_strategies(bet_amounts)This refactoring makes it easier to add new strategies or modify bet amounts in the future. It also reduces the risk of errors when initializing multiple similar strategies.
To ensure that all necessary imports are available for this refactoring, let's verify the imports:
This will help confirm that all required strategy classes are properly imported.
✅ Verification successful
Verification Successful
The imports for betting strategies are correctly handled. The proposed refactoring improves maintainability without introducing import issues.
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash # Description: Verify imports for betting strategies rg --type python "from prediction_market_agent_tooling.deploy.betting_strategy import" -A 10Length of output: 125
Script:
#!/bin/bash # Description: Verify imports for betting strategies using corrected file type rg --type py "from prediction_market_agent_tooling.deploy.betting_strategy import" -A 10Length of output: 3611
Script:
#!/bin/bash # Description: Alternative method to verify imports using grep grep -r "from prediction_market_agent_tooling.deploy.betting_strategy import" .Length of output: 555
And the results: