Langtrace.ai is an open-source observability and evaluations platform for AI agents, designed to transform prototypes into enterprise-grade LLM applications. With simple setup, real-time metrics tracking, and robust security, it helps developers optimize performance, reduce latency, and ensure compliance. Try Langtrace.ai today to elevate your AI stack.
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Published:
2024-09-13
Created:
2025-05-03
Last Modified:
2025-05-03
Published:
2024-09-13
Created:
2025-05-03
Last Modified:
2025-05-03
Langtrace.ai Product Information
What is Langtrace.ai?
Langtrace.ai is an open-source observability and evaluations platform designed to transform AI prototypes into enterprise-grade products. It provides tools to track vital metrics like token usage, latency, and accuracy for LLM applications, along with features like prompt version control, automated evaluations, and integrations with popular AI frameworks.
Who will use Langtrace.ai?
Langtrace.ai is ideal for AI developers, data scientists, and enterprises building or scaling LLM applications. It caters to teams needing observability, performance tracking, and compliance for AI agents, especially those using Python or TypeScript. Its security features also make it suitable for regulated industries requiring SOC2-compliant solutions.
How to use Langtrace.ai?
- Install the Langtrace SDK with 2 lines of code (Python/TypeScript supported)
- Integrate with your existing LLM stack using 30+ supported frameworks
- Monitor key metrics like token usage and latency via dashboards
- Version control prompts and compare performance across models
- Run automated evaluations to measure AI agent accuracy
- Deploy securely with enterprise-grade encryption and compliance
In what environments or scenarios is Langtrace.ai suitable?
Langtrace.ai excels in enterprise AI development, particularly for teams deploying LLM applications at scale. It's ideal for production environments needing observability, debugging AI agents, optimizing prompt performance, or meeting compliance requirements. The open-source model also benefits developers who need customizable solutions for research or specialized AI workflows.
Langtrace.ai Features & Benefits
What are the core features of Langtrace.ai?
- Open-source observability and evaluations platform for AI agents
- Simple setup with just 2 lines of code (Python/TypeScript SDK)
- Dashboards to track token usage, cost, latency, and accuracy metrics
- Automated tracing of GenAI stack metadata and API requests
- Prompt version control and performance comparison across models
What are the benefits of using Langtrace.ai?
- Accelerates AI prototype-to-production transformation
- Provides enterprise-grade security with SOC2 Type II compliance
- Offers actionable insights to optimize LLM app performance
- Enables prompt experimentation and version control
- Supports 30+ integrations with popular LLMs and frameworks
What is the core purpose and selling point of Langtrace.ai?
- Purpose: To provide observability and evaluation for AI agents at scale
- Open-source platform with customizable solutions
- Enterprise-ready security and compliance features
- Simplifies tracking of critical LLM metrics (latency, accuracy, costs)
- Enables data-driven improvements for GenAI applications
What are typical use cases for Langtrace.ai?
- Monitoring and optimizing production LLM applications
- Comparing prompt performance across AI models
- Debugging and improving AI agent workflows
- Ensuring compliance for enterprise AI deployments
- Versioning and managing prompts at scale
FAQs about Langtrace.ai
What is Langtrace.ai and what does it do?
Langtrace.ai is an open-source observability and evaluations platform designed to transform AI prototypes into enterprise-grade products. It provides tools to track vital metrics like token usage, cost, latency, and accuracy for LLM applications. Langtrace.ai helps developers optimize their AI agents with dashboards, automated evaluations, and prompt version control.
How do I integrate Langtrace.ai into my project?
Integrating Langtrace.ai is simple with its non-intrusive setup. You can access the Langtrace SDK with just 2 lines of code in either Python or TypeScript. For Python, use 'from langtrace_python_sdk import langtrace' followed by initialization with your API key. Detailed integration guides are available in the Langtrace documentation.
What programming languages does Langtrace.ai support?
Langtrace.ai currently offers SDK support for Python and TypeScript, making it accessible to a wide range of developers working with AI applications. The platform's simple integration requires minimal code changes, allowing quick implementation in existing projects using these languages.
What metrics can I track with Langtrace.ai?
Langtrace.ai enables tracking of key LLM metrics including token usage (prompt, completion, and total tokens), model requests, inference latency, and accuracy evaluations. The platform provides comprehensive dashboards to monitor these metrics, helping optimize performance and reduce costs in AI applications.
Is Langtrace.ai secure for enterprise use?
Yes, Langtrace.ai is designed with enterprise-grade security, featuring industry-leading encryption standards and SOC2 Type II certification. The platform ensures private and secure data handling, meeting stringent compliance requirements for robust protection of sensitive AI application data.
Can I use Langtrace.ai for prompt version control?
Absolutely. Langtrace.ai includes prompt version control features that allow you to store, version, and manage your prompts. You can deploy new prompts or roll back to previous versions with just a few clicks, making prompt management and experimentation more efficient.
What integrations does Langtrace.ai support?
Langtrace.ai supports 30+ integrations with popular LLMs, frameworks, and vector databases. The platform continuously expands its compatibility to work with various components of the GenAI stack, making it versatile for different AI application architectures.
Is Langtrace.ai really open source?
Yes, Langtrace.ai is proudly open source with its complete source code available on GitHub. This allows users to customize, audit, and contribute to the platform, fostering innovation and trust through transparency in the AI observability space.
How does Langtrace.ai help improve LLM application performance?
Langtrace.ai provides comprehensive observability into your LLM applications, tracking metrics like latency, accuracy, and token usage. By analyzing these insights, you can identify bottlenecks, optimize prompts, reduce costs, and ultimately enhance your application's performance and reliability.
What kind of support does Langtrace.ai offer for evaluations?
Langtrace.ai offers robust evaluation capabilities including baseline performance measurement, curated datasets for automated evaluations, and finetuning support. The platform helps you systematically assess and improve your AI models' performance through comprehensive testing and comparison tools.
Langtrace.ai Company Information
Company Name:
Scale3 Labs
Website:
Analytics of Langtrace.ai
Traffic Statistics
11.9K
Monthly Visits
3.2
Pages Per Visit
44.76%
Bounce Rate
85
Avg Time On Site
Monthly Visits
User Country Distribution
Top 5 Regions
US
28.59%
IN
22.69%
VN
16.13%
GB
9.14%
FR
6.06%
Traffic Sources
Social
16.95%
Paid Referrals
1.11%
0.08%
Referrals
7.39%
Search
40.24%
Direct
34.17%
Top Keywords
| Keyword | Search Volume | Cost Per Click | Estimated Value |
|---|---|---|---|
| langtrace | 5K | $3.75 | $1.6K |
| langtrace ai | 380 | $-- | $309 |
| lang trace | 100 | $-- | $156 |
| dspy output get prompt | -- | $-- | $126 |
| langtrac | 60 | $-- | $55 |
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