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Support multiple model types for different reasoning tasks

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2025-04-27 08:50:03 +03:00
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@ -416,18 +416,18 @@ Qodo Merge uses a dynamic strategy to generate code suggestions based on the siz
#### 1. Chunking large PRs
- Qodo Merge divides large PRs into 'chunks'.
- Each chunk contains up to `pr_code_suggestions.max_context_tokens` tokens (default: 14,000).
- Each chunk contains up to `pr_code_suggestions.max_context_tokens` tokens (default: 24,000).
#### 2. Generating suggestions
- For each chunk, Qodo Merge generates up to `pr_code_suggestions.num_code_suggestions_per_chunk` suggestions (default: 3).
- For each chunk, Qodo Merge generates up to `pr_code_suggestions.num_code_suggestions_per_chunk` suggestions (default: 4).
This approach has two main benefits:
- Scalability: The number of suggestions scales with the PR size, rather than being fixed.
- Quality: By processing smaller chunks, the AI can maintain higher quality suggestions, as larger contexts tend to decrease AI performance.
Note: Chunking is primarily relevant for large PRs. For most PRs (up to 500 lines of code), Qodo Merge will be able to process the entire code in a single call.
Note: Chunking is primarily relevant for large PRs. For most PRs (up to 600 lines of code), Qodo Merge will be able to process the entire code in a single call.
## Configuration options