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feat(Focus): Enhance hover effects and update icon colors for better visibility

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feat(Optimization): Update icon colors for consistency and improve hover styles
feat(SimplifiedAgent): Add messagesCount parameter to initializeAgent for adaptive prompts
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Willie Zutz 2025-08-10 17:36:15 -06:00
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23
docs/installation/TRACING.md
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@ -1,4 +1,3 @@
# Tracing LLM Calls in Perplexica
Perplexica supports tracing all LangChain and LangGraph LLM calls for debugging, analytics, and prompt transparency. You can use either Langfuse (self-hosted, private, or cloud) or LangSmith (cloud, by LangChain) for tracing.
@ -10,21 +9,22 @@ Langfuse is an open-source, self-hostable observability platform for LLM applica
### Setup
1. **Deploy Langfuse**
- See: [Langfuse Self-Hosting Guide](https://langfuse.com/docs/self-hosting)
- You can also use the Langfuse Cloud if you prefer.
- See: [Langfuse Self-Hosting Guide](https://langfuse.com/docs/self-hosting)
- You can also use the Langfuse Cloud if you prefer.
2. **Configure Environment Variables**
- Add the following to your environment variables in docker-compose or your deployment environment:
- Add the following to your environment variables in docker-compose or your deployment environment:
```env
LANGFUSE_PUBLIC_KEY=your-public-key
LANGFUSE_SECRET_KEY=your-secret-key
LANGFUSE_BASE_URL=https://your-langfuse-instance.com
```
- These are required for the tracing integration to work. If not set, tracing is disabled gracefully.
```env
LANGFUSE_PUBLIC_KEY=your-public-key
LANGFUSE_SECRET_KEY=your-secret-key
LANGFUSE_BASE_URL=https://your-langfuse-instance.com
```
- These are required for the tracing integration to work. If not set, tracing is disabled gracefully.
3. **Run Perplexica**
- All LLM and agent calls will be traced automatically. You can view traces in your Langfuse dashboard.
- All LLM and agent calls will be traced automatically. You can view traces in your Langfuse dashboard.
## LangSmith Tracing (Cloud by LangChain)
@ -38,5 +38,6 @@ Perplexica also supports tracing via [LangSmith](https://smith.langchain.com/),
---
For more details on tracing, see the respective documentation:
- [Langfuse Documentation](https://langfuse.com/docs)
- [LangSmith Observability](https://docs.smith.langchain.com/observability)