LLMstudio
langtrace
LLMstudio | langtrace | |
---|---|---|
1 | 7 | |
215 | 152 | |
27.4% | - | |
9.3 | 9.0 | |
10 days ago | 3 days ago | |
TypeScript | TypeScript | |
Mozilla Public License 2.0 | GNU Affero General Public License v3.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
LLMstudio
-
Mixtral: Mixture of Experts
Lmstudio (that they linked) is definitely not open source, and doesn't even offer a pricing model for business use.
Llmstudio is, but I suspect that was a typo in their comment. https://github.com/TensorOpsAI/LLMStudio
langtrace
-
Pydantic Logfire
+1 to this. Langtrace core maintainer here. We are building a SDK and a client for automatic instrumentation of LLM based applications using OTEL standards. The OpenLLMetry team along with the CNCF OpenTelemetry working group has been doing some great work standardizing semantic naming conventions and we are starting to adopt the same set of standards.
[1] https://github.com/Scale3-Labs/langtrace
-
Show HN: Langtrace โ OpenTelemetry Based LLM App Observability
Ola and Karthik here. We are working on Langtrace(https://github.com/Scale3-Labs/langtrace), an open source, open telemetry based SDK and monitoring/evaluations client for LLM based applications. The SDK generates OTEL standard spans and traces for popular LLMs like OpenAI, Anthropic and Cohere, popular frameworks like Langchain and LlamaIndex and vectorDBs like ChromaDB and Pinecone.
The LLM monitoring/evaluations space has seen a number of products off late, both open source and closed source ones. But, a couple of things we have observed are: lack of standard spans and traces that creates vendor lock in, different tools are optimized for solving different pain points - Evaluations, Prompt management, Datasets etc.
We believe that adopting open telemetry(OTEL) standard tracing not only lets teams use our SDK without having to switch their observability client, but will also enable developers to develop tooling for any custom needs such as capturing datasets, prompts, evaluations etc.
A quick note on what we have built so far:
[1] We have a Python and a TypeScript SDK and we have broken down the support for the LLM layer into 3 groups, LLMs, Frameworks and VectorDBs. Our SDKs are open telemetry compatible, can be installed and used independently and we also provide an option to pass custom exporters to export the traces and spans to any observability tool of your choice.
[2] An observability client that is hyper optimized for solving the unique pain points and challenges that come with LLM based apps like Evaluations, prompt iteration, datasets etc. We are SOC2 compliant and the client can also be self hosted if you have strict data privacy and protection requirements.
[3] Both the SDK and the client are fully open source. We are leaning on the community to try it out and provide feedback.
A note about Open Telemetry semantic conventions for LLMs - We would like to converge on standard names for trace attributes that follow the OTEL rules and are looking for feedback from experts here - https://github.com/Scale3-Labs/langtrace/discussions/71
We recognize that this project is early and there is a lot of room for improvement. Would love to hear your thoughts and feedback. Thanks!
Links:
[1] https://langtrace.ai/
[2] https://github.com/Scale3-Labs/langtrace
[3] https://docs.langtrace.ai/introduction
-
Show HN: Langtrace โ OpenTelemetry-Based LLM App Observability
[1] We have a Python and a TypeScript SDK and we have broken down the support for the LLM layer into 3 groups, LLMs, Frameworks and VectorDBs. Our SDKs are open telemetry compatible, can be installed and used independently and we also provide an option to pass custom exporters to export the traces and spans to any observability tool of your choice.
[2] An observability client that is hyper optimized for solving the unique pain points and challenges that come with LLM based apps like Evaluations, prompt iteration, datasets etc. We are SOC2 compliant and the client can also be self hosted if you have strict data privacy and protection requirements.
[3] Both the SDK and the client are fully open source. We are leaning on the community to try and provide us with feedback.
A note about Open Telemetry semantic conventions for LLMs. We would like to converge on standard names for trace attributes that follow the OTEL rules and are looking for feedback from experts here - https://github.com/Scale3-Labs/langtrace/discussions/71
We recognize that this project is early and there is a lot of room for improvement. Would love to hear your thoughts and feedback. Thanks!
Links:
[1] https://langtrace.ai/
- Langtrace โ OpenTelemetry-Based Client and SDK for LLM App Observability
What are some alternatives?
ollama - Get up and running with Llama 3, Mistral, Gemma, and other large language models.
CogVLM - a state-of-the-art-level open visual language model | ๅคๆจกๆ้ข่ฎญ็ปๆจกๅ