Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Laminar is a comprehensive open-source platform designed to facilitate the creation of top-tier LLM products. The quality of your LLM application is heavily dependent on the data you manage. With Laminar, you can efficiently gather, analyze, and leverage this data. By tracing your LLM application, you gain insight into each execution phase while simultaneously gathering critical information. This data can be utilized to enhance evaluations through the use of dynamic few-shot examples and for the purpose of fine-tuning your models. Tracing occurs seamlessly in the background via gRPC, ensuring minimal impact on performance. Currently, both text and image models can be traced, with audio model tracing expected to be available soon. You have the option to implement LLM-as-a-judge or Python script evaluators that operate on each data span received. These evaluators provide labeling for spans, offering a more scalable solution than relying solely on human labeling, which is particularly beneficial for smaller teams. Laminar empowers users to go beyond the constraints of a single prompt, allowing for the creation and hosting of intricate chains that may include various agents or self-reflective LLM pipelines, thus enhancing overall functionality and versatility. This capability opens up new avenues for experimentation and innovation in LLM development.
Description
telemetry.dev serves as an observability platform that is fully integrated with OpenTelemetry, specifically designed for AI agents and applications involving large language models. It enables developers to monitor various elements such as model calls, tool steps, retrievals, logs, and metrics, while also allowing them to analyze issues relating to failures, latency, token consumption, and projected expenses. Additionally, users can draw comparisons across different models, providers, and environments to gain deeper insights into performance. The platform features native support for TypeScript and Python SDKs, along with integrations for various providers and frameworks, as well as standard OTLP/HTTP ingestion methods. To enhance data privacy and security, it incorporates environment-specific capture controls, SDK masking, and server-side redaction, ensuring that teams can effectively manage the sensitive content associated with prompts, responses, and telemetry data. This comprehensive functionality enables organizations to optimize their AI applications and ensure robust observability across their operations.
API Access
Has API
No
API Access
Has API
Yes
Integrations
Amazon Bedrock
No
Anthropic
No
Claude Code
No
CrewAI
No
Cursor
No
LangChain
No
LiteLLM
No
Model Context Protocol (MCP)
No
OpenAI
No
OpenCode
No
Integrations
Amazon Bedrock
Yes
Anthropic
Yes
Claude Code
Yes
CrewAI
Yes
Cursor
Yes
LangChain
Yes
LiteLLM
Yes
Model Context Protocol (MCP)
Yes
OpenAI
Yes
OpenCode
Yes
Pricing Details
$25 per month
Free Trial
No
Free Version
Yes
Pricing Details
$0/month
Prices are per organization per month. Free includes 30,000 ingestion units per month, 14-day retention, 1 project, and 2 seats. Pro is $25 per month with 500,000 ingestion units, 30-day retention, 5 projects, and 5 seats. Team is $50 per month with 2 million ingestion units, 90-day retention, unlimited projects and seats, and priority support. One normalized span, OTLP log record, or metric data point counts as one ingestion unit. Paid ingestion continues beyond the listed allowances without automatic overage charges; the vendor may contact consistently high-usage customers.
Free Trial
No
Free Version
Yes
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Laminar
Country
United States
Website
www.lmnr.ai/
Vendor Details
Company Name
telemetry.dev
Website
telemetry.dev/