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Langtrace

Open Source
Deployment and Serving Updated Feb 15, 2026
Compared with 41 other Deployment and Serving agents Open source Self-hostable Updated Feb 2026
💰 Open Source 🔄 Updated Feb 2026 🖥️ Self-hostable

💰 Pricing

Open Source

Pricing not publicly listed.

🎯 Use Cases

Monitoring latency and errors in LLM API calls Debugging performance issues in RAG (Retrieval-Augmented Generation) pipelines Tracking vector database query efficiency Evaluating LLM output quality across deployments Auditing usage and costs of third-party LLM services

⚖️ Pros & Cons

✅ Pros

  • Open-source and self-hostable for full control
  • Supports multiple LLMs and frameworks
  • Integrates with Open Telemetry for extensibility
  • Provides real-time insights into LLM application performance

❌ Cons

  • Requires setup and maintenance for self-hosting
  • Limited to supported LLMs and frameworks
  • May have a learning curve for Open Telemetry newcomers

Overview

Langtrace is an open-source observability tool designed for LLM applications, leveraging Open Telemetry to provide real-time tracing, evaluations, and metrics. It supports popular LLMs, frameworks, and vector databases, enabling developers to monitor and debug their AI deployments effectively.

Problem It Solves

It solves the lack of visibility into LLM application performance by offering detailed tracing and metrics, helping developers identify bottlenecks and improve reliability.

Target Audience: Developers and teams working with deployment and serving automation.

Inputs

  • User configuration
  • API credentials (if required)
  • Task parameters

Outputs

  • Automated task results
  • Status reports
  • Generated content or actions

Example Workflow

  1. 1 User configures the agent with required parameters
  2. 2 Agent receives input data or trigger
  3. 3 Agent processes the request using its core logic
  4. 4 Agent interacts with external services if needed
  5. 5 Results are returned to the user

Sample System Prompt


              You are Langtrace, an AI assistant. Help the user accomplish their task efficiently.

            

Tools & Technologies

LLM APIs Python

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FAQs

Is this agent open-source?
Yes
Can this agent be self-hosted?
Yes
What skill level is required?
Intermediate

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Langtrace