jpmschweitzerandClaude Opus 4.5
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- Switch from pydantic-ai to pydantic-ai-slim[openai] - Removes unused provider SDKs (anthropic, boto3, cohere, google, groq, huggingface) - Production packages: 53 (down from ~158) - Production footprint: 178MB - Add DEPENDENCY_SLIM.md with rollback instructions 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
73 lines
1.5 KiB
Markdown
73 lines
1.5 KiB
Markdown
# Dependency Slimming: pydantic-ai → pydantic-ai-slim
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**Date**: 2025-12-13
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**Version**: Post v1.2.0
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## Change
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Switched from `pydantic-ai` to `pydantic-ai-slim[openai]` to reduce container image size.
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### Before
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```
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pydantic-ai>=1.27,<1.28
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```
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This installs SDKs for ALL LLM providers:
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- anthropic
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- boto3 + botocore (AWS Bedrock)
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- cohere
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- google-genai + google-auth
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- groq
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- huggingface-hub
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Total packages: ~158
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### After
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```
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pydantic-ai-slim[openai]>=1.27,<1.28
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```
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Only installs the OpenAI-compatible SDK. Ollama works through this interface.
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Expected packages: ~80-90 (significant reduction)
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## Why This Works
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Tatlock uses Ollama exclusively, which implements the OpenAI-compatible API. The code uses:
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```python
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from pydantic_ai.models.openai import OpenAIChatModel
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from pydantic_ai.providers.ollama import OllamaProvider
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model = OpenAIChatModel(
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model_name=config.OLLAMA_DEFAULT_MODEL,
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provider=OllamaProvider(base_url=f"{config.OLLAMA_HOST}/v1")
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)
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```
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This pattern only requires the `openai` extra, not the full pydantic-ai package.
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## Rollback Instructions
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If this change breaks things:
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1. Revert requirements.txt:
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```diff
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- pydantic-ai-slim[openai]>=1.27,<1.28
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+ pydantic-ai>=1.27,<1.28
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```
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2. Reinstall dependencies:
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```bash
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pip install -r requirements.txt
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```
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3. Delete this file once confirmed stable.
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## Testing Checklist
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- [ ] Unit tests pass
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- [ ] Integration tests pass (with Ollama running)
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- [ ] Wakeup script e2e test passes
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- [ ] Container builds successfully
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- [ ] Container runs correctly
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