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README.md

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* [gpt-4.1-mini](https://platform.openai.com/docs/models/gpt-4.1-mini) (agent)
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* [gpt-4.1-nano](https://platform.openai.com/docs/models/gpt-4.1-nano) (router)
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* [text-embedding-3-large](https://platform.openai.com/docs/models/text-embedding-3-large) (embedding)
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* [text-embedding-3-large](https://platform.openai.com/docs/models/text-embedding-3-large) or [text-embedding-3-small](https://platform.openai.com/docs/models/text-embedding-3-small) (embedding)
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* [tts-1](https://platform.openai.com/docs/models/tts-1) (audio TTS)
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* [gpt-4o-mini-transcribe](https://platform.openai.com/docs/models/gpt-4o-mini-transcribe) (audio transcription)
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* [gemini-2.0-flash](https://ai.google.dev/gemini-api/docs/models#gemini-2.0-flash) (optional)
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### Knowledge Base
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The Knowledge Base (KB) is meant to store text values and/or small PDFs.
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```python
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config = {
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"knowledge_base": {
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print(response, end="")
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```
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## Runtime Prompt Injection
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Many use cases for Solana Agent require training your agents on your company data.
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This can be accomplished via runtime prompt injection. Integrations that work well with FAQs.
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## Advanced Customization
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This knowledge is accessible to all your AI agents.
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### Runtime Prompt Injection
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```python
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from solana_agent import SolanaAgent
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print(response, end="")
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```
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## Custom Routing
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### Custom Routing
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In advanced cases like implementing a ticketing system on-top of Solana Agent - you can use your own router.
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