Cheaper think thoroughly prophet agent #539
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Actionable comments posted: 1
🧹 Outside diff range and nitpick comments (1)
prediction_market_agent/agents/think_thoroughly_agent/deploy.py (1)
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1-70: Consider architectural implications of hardcoded model selection.Moving model selection from deployment configuration to base classes reduces flexibility. This architectural change makes it harder to:
- Override model choice at deployment time
- A/B test different models
- Quickly respond to model deprecations or upgrades
Consider maintaining deployment-time model configuration capability while defaulting to gpt-4o.
Consider adding an optional model parameter to maintain flexibility:
def load(self) -> None: - self.agent = self.agent_class(enable_langfuse=self.enable_langfuse) + self.agent = self.agent_class( + enable_langfuse=self.enable_langfuse, + model=getattr(self, 'model', None) # Use default if not specified + )
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📒 Files selected for processing (2)
prediction_market_agent/agents/think_thoroughly_agent/deploy.py(1 hunks)prediction_market_agent/agents/think_thoroughly_agent/think_thoroughly_agent.py(4 hunks)
🔇 Additional comments (4)
prediction_market_agent/agents/think_thoroughly_agent/deploy.py (1)
24-24: Verify model configuration in base classes.
The removal of the model parameter from agent initialization suggests that model configuration has been moved to the base classes. While this aligns with the PR objective to use gpt-4o, ensure that the model is properly configured in ThinkThoroughlyBase or its subclasses.
✅ Verification successful
Model configuration is properly handled in base classes
The removal of the model parameter from agent initialization is correct as the model configuration is properly defined in the class hierarchy:
ThinkThoroughlyBasedeclares the model attributesThinkThoroughlyWithPredictionProphetResearchsetsmodel_for_generate_prediction_for_one_outcome = "gpt-4o-2024-08-06"as intended by the PR- The change aligns with the goal of making the prophet agent cheaper while maintaining the architecture
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash
# Description: Verify model configuration in base classes
# Expected: Find model configuration in ThinkThoroughlyBase or its subclasses
# Search for model configuration in the base classes
rg -A 5 "gpt-4" prediction_market_agent/agents/think_thoroughly_agent/think_thoroughly_agent.py
Length of output: 539
Script:
#!/bin/bash
# Let's verify the class hierarchy and model configuration
ast-grep --pattern 'class $_ {
$$$
model = $_
$$$
}'
Length of output: 60
Script:
#!/bin/bash
# Let's check the class definitions and their inheritance
rg -A 5 "^class.*ThinkThoroughly" prediction_market_agent/agents/think_thoroughly_agent/think_thoroughly_agent.py
Length of output: 817
prediction_market_agent/agents/think_thoroughly_agent/think_thoroughly_agent.py (3)
108-109: LGTM! Good separation of model configurations.
The addition of separate model attributes for different operations provides flexibility and allows derived classes to optimize their model usage independently.
343-343: LGTM! Correct model attribute usage.
The method now correctly uses the specialized model attribute for prediction generation, aligning with the PR's objective of optimizing model usage.
378-379: LGTM! Consistent model usage for research-based agent.
Using the same GPT-4 Turbo model for all operations in this research-based agent is appropriate, as it maintains consistency in the quality of both research and predictions.
| model = "gpt-4-turbo-2024-04-09" | ||
| model_for_generate_prediction_for_one_outcome = "gpt-4o-2024-08-06" |
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💡 Codebase verification
Model version inconsistency detected in codebase
The model version "gpt-4o-2024-08-06" appears to be consistently used across multiple files as a default model, suggesting it's an intentional configuration rather than a typo. However, this model version is dated August 2024, which is beyond the current date. Consider:
- Using the available "gpt-4-turbo-2024-04-09" model which is consistently used in other parts of the codebase
- Updating the model version to match currently available OpenAI models
🔗 Analysis chain
Verify the availability and correctness of the model version.
While using different models for research and predictions aligns with the PR's cost optimization goal, the model version "gpt-4o-2024-08-06" appears to be from a future date. Please verify:
- Is this model currently available?
- Is this the correct version string?
Let's verify the model availability:
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash
# Search for other occurrences of this model version to ensure consistency
rg "gpt-4o-2024-08-06"
# Search for model version patterns to see what other versions are in use
rg -e "gpt-[0-9a-z-]+-[0-9]{4}-[0-9]{2}-[0-9]{2}"
Length of output: 2088
I think we can safely make think thoroughly prophet cheaper, by using gpt 4o on its prophet-research part.
Looking at Dune, gpt-4o prophet agent is among the best:
So if we switch to 4o only in the prophet-research part, it should still be good (if not better).