logfire

About logfire

AI observability platform for production LLM and agent systems.

agent-observability ai ai-observability ai-tools evals fastapi llm-observability logging metrics observability

Quick Facts

Stars	4,259
Forks	237
Language	Python
Category	Agent Tool
License	MIT
Quality Score	36.25/100
Open Issues	233
Last Updated	2026-05-22
Created	2024-04-23
Platforms	python
Est. Tokens	~4925k

Compatible Skills

These tools work well together with logfire for enhanced workflows:

openinference — semantic(0.26)+complementary+rare_topics+same_lang+similar_pop+shared_platform (63%)
pydantic-deepagents — semantic(0.24)+complementary+rare_topics+same_lang+similar_pop+shared_platform (62%)
manifest — semantic(0.33)+complementary+rare_topics+similar_pop (61%)
full-stack-ai-agent-template — semantic(0.24)+complementary+rare_topics+same_lang+similar_pop+shared_platform (58%)
golf — semantic(0.21)+complementary+rare_topics+same_lang+similar_pop+shared_platform (57%)

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Frequently Asked Questions

What is logfire?

logfire is AI observability platform for production LLM and agent systems.. It is categorized as a Agent Tool with 4.3k GitHub stars.

What programming language is logfire written in?

logfire is primarily written in Python. It covers topics such as agent-observability, ai, ai-observability.

How do I install or use logfire?

You can find installation instructions and usage details in the logfire GitHub repository at github.com/pydantic/logfire. The project has 4.3k stars and 237 forks, indicating an active community.

What license does logfire use?

logfire is released under the MIT license, making it free to use and modify according to the license terms.

View on GitHub → Browse Agent Tool tools