update new model for gpt-4o and gemini-exp #5861
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WalkthroughThe pull request introduces modifications to two files: Changes
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Actionable comments posted: 1
π§Ή Outside diff range and nitpick comments (1)
app/constant.ts (1)
323-325: Consider documenting experimental models and maintaining consistent orderingA few suggestions for the new Gemini experimental models:
- Consider adding documentation or comments explaining the nature and purpose of these experimental models.
- The current positioning breaks alphabetical ordering. Consider moving these entries after "learnlm-1.5-pro-experimental" to maintain consistency.
"gemini-1.0-pro", "gemini-1.5-pro-latest", "gemini-1.5-flash-latest", + "learnlm-1.5-pro-experimental", "gemini-exp-1114", "gemini-exp-1121", - "learnlm-1.5-pro-experimental", "gemini-pro-vision",
π Review details
Configuration used: CodeRabbit UI
Review profile: CHILL
π Files selected for processing (2)
app/constant.ts(3 hunks)app/utils.ts(1 hunks)
π Additional comments (3)
app/constant.ts (3)
267-267: LGTM: Knowledge cutoff date is consistent
The knowledge cutoff date for the new model "gpt-4o-2024-11-20" is correctly set to "2023-10", maintaining consistency with other gpt-4o models in the configuration.
307-307: LGTM: Model addition follows conventions
The new model "gpt-4o-2024-11-20" is correctly added to the openaiModels array, maintaining proper ordering within the gpt-4o model family.
Line range hint 267-325: Verify model integration across the codebase
Let's verify that these new models are properly integrated with other components of the system.
β Verification successful
Based on the examination of the core model-related files, I can now provide a final response:
New models are safely integrated within the system's architecture
The new models (gpt-4o-2024-11-20, gemini-exp-1114, gemini-exp-1121) are properly added to the constants and will work correctly because:
- The model system uses a provider-based architecture that handles models dynamically
- Model validation and collection logic in
app/utils/model.tsis provider-agnostic and works with any model name - The server configuration in
app/config/server.tssupports both OpenAI and Google models through their respective API configurations - No model-specific logic needs to be modified as the system treats models as configuration values
π Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash
# Description: Check for references to the new models in other files
# and verify their integration with model-specific logic
# Check for any model-specific handling of the new models
rg -l "gpt-4o-2024-11-20|gemini-exp-1114|gemini-exp-1121" --type ts --type tsx
# Check for any model capability configurations
ast-grep --pattern 'isVisionModel|isGeminiModel|isGPTModel' -l
Length of output: 279
Script:
#!/bin/bash
# Let's try a more focused search approach
# Search for model-specific handling
rg -l "gpt-4o-2024-11-20|gemini-exp-1114|gemini-exp-1121" --type typescript
# Check for model capability configurations
rg -l "isVisionModel|isGeminiModel|isGPTModel" --type typescript
# Look for model validation or configuration logic
rg -l "supportedModels|modelConfig|validateModel" --type typescript
# Search for files that might contain model-specific logic
fd -e ts -e js | grep -i "model\|config\|constant"
Length of output: 556
Script:
#!/bin/bash
# Let's examine the model-related files we found
# Check app/utils/model.ts for model validation logic
cat app/utils/model.ts
# Check test/model-provider.test.ts for model configurations
cat test/model-provider.test.ts
# Look for model handling in config files
cat app/config/client.ts
cat app/config/server.ts
Length of output: 15130
| "gemini-exp", | ||
| "learnlm", |
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π‘ Codebase verification
Inconsistency found in model keyword definitions
The implementation shows a mismatch between the model keywords in utils.ts and their actual model names in constant.ts:
gemini-expin utils.ts doesn't match the actual modelsgemini-exp-1114andgemini-exp-1121learnlmin utils.ts doesn't match the actual modellearnlm-1.5-pro-experimental
This could lead to the isVisionModel function failing to correctly identify these models' vision capabilities.
- Update the vision keywords in
utils.tsto use the complete model names:"gemini-exp-1114", "gemini-exp-1121", "learnlm-1.5-pro-experimental",
π Analysis chain
LGTM with a minor query about "learnlm"
The addition of "gemini-exp" aligns with the PR objectives. However, could you provide context about the addition of "learnlm" as it wasn't mentioned in the PR description?
Let's verify if these models are consistently referenced elsewhere in the codebase:
π Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash
# Search for any references to the new model keywords
echo "Searching for gemini-exp references:"
rg "gemini-exp"
echo -e "\nSearching for learnlm references:"
rg "learnlm"
Length of output: 377
Script:
#!/bin/bash
# Let's check the context around these model definitions to understand their usage
echo "Checking context in constant.ts:"
rg -A 5 -B 5 "gemini-exp|learnlm" app/constant.ts
echo -e "\nChecking if these models are used in any configuration or model-specific handling:"
ast-grep --pattern 'if ($_ === "gemini-exp" || $_ === "learnlm") { $$$ }'
ast-grep --pattern 'case "gemini-exp": $$$'
ast-grep --pattern 'case "learnlm": $$$'
Length of output: 725
π» εζ΄η±»ε | Change Type
π εζ΄θ―΄ζ | Description of Change
update new model for gpt-4o and gemini-exp
π θ‘₯ε δΏ‘ζ― | Additional Information
Summary by CodeRabbit
New Features
KnowledgeCutOffDateand additional entries for OpenAI and Google models.Bug Fixes