Litefuse Cookbook
You can find the ipynb files in the cookbook directory of the repository.
Classification
Evaluation
Evaluation Of Rag With RagasEvaluation With LangchainEvaluation With UptrainEvaluating Multi-Turn ConversationsEvaluate Litefuse LLM Traces with an External Evaluation PipelineAgent Evaluation - How to Evaluate LLM AgentsEvaluating Multi-Turn Conversations (Simulation)Synthetic Dataset Generation for LLM Evaluation
Examples
Integrations
Example Decorator Openai LangchainExample - Tracing and Evaluation for the OpenAI-Agents SDKExample - Trace and Evaluate LangGraph AgentsObservability for Anthropic with Litefuse IntegrationIntegration Azure Openai LangchainIntegrate Databricks with LitefuseIntegration LangchainOpen Source Observability for LangGraphLangserve IntegrationCookbook - LiteLLM (Proxy) + Litefuse OpenAI Integration + Python DecoratorIntegration Llama-index-callbackIntegration Llama-index InstrumentationIntegration Llama-index Milvus-liteObservability for LlamaIndex with Litefuse IntegrationMonitoring LlamaIndex applications with PostHog and LitefuseObservability for LlamaIndex with Litefuse IntegrationOSS Observability for OpenAI Assistants APICookbook - OpenAI Integration (Python)Observe OpenAI Structured Outputs with LitefuseObservability for Anthropic JS/TS with LitefuseMLflow Integration via OpenTelemetryOpenLIT Integration via OpenTelemetryOtel Integration Openllmetry
Prompt Management
Security
Other
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