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https://github.com/openlit/openlit
OpenLIT: Complete Observability and Evals for the Entire GenAI Stack, from LLMs to GPUs. Improve your LLM apps from playground to production 📈. Supports 20+ monitoring integrations like OpenAI & LangChain. Collect and Send GPU performance, costs, tokens, user activity, LLM traces and metrics to any OpenTelemetry endpoint in just one line of code.
https://github.com/openlit/openlit
ai-observability anthropic clickhouse distributed-tracing genai grafana langchain llmops llms metrics monitoring-tool observability open-source openai opentelemetry otel otlp python tracing typescipt
Last synced: about 14 hours ago
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OpenLIT: Complete Observability and Evals for the Entire GenAI Stack, from LLMs to GPUs. Improve your LLM apps from playground to production 📈. Supports 20+ monitoring integrations like OpenAI & LangChain. Collect and Send GPU performance, costs, tokens, user activity, LLM traces and metrics to any OpenTelemetry endpoint in just one line of code.
- Host: GitHub
- URL: https://github.com/openlit/openlit
- Owner: openlit
- License: apache-2.0
- Created: 2024-01-23T17:40:59.000Z (11 months ago)
- Default Branch: main
- Last Pushed: 2024-10-28T17:59:21.000Z (about 1 month ago)
- Last Synced: 2024-10-29T15:18:46.847Z (about 1 month ago)
- Topics: ai-observability, anthropic, clickhouse, distributed-tracing, genai, grafana, langchain, llmops, llms, metrics, monitoring-tool, observability, open-source, openai, opentelemetry, otel, otlp, python, tracing, typescipt
- Language: Python
- Homepage: https://docs.openlit.io
- Size: 35.6 MB
- Stars: 801
- Watchers: 8
- Forks: 65
- Open Issues: 42
-
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- License: LICENSE
- Code of conduct: CODE_OF_CONDUCT.md
- Codeowners: CODEOWNERS
- Security: SECURITY.md
Awesome Lists containing this project
- awesome-llmops - OpenLIT - native GenAI and LLM Application Observability tool and provides OpenTelmetry Auto-instrumentation for monitoring LLMs, VectorDBs and Frameworks. It provides valuable insights into token & cost usage, user interaction, and performance related metrics. |  | (LLMOps / Observability)
- awesome-clickhouse - openlit/openlit - OpenLIT provides complete observability and evaluations for the entire GenAI stack, enabling developers to improve LLM applications from development to production. (Integrations / Metrics and Monitoring)
- awesome-ChatGPT-repositories - openlit - Open source platform for AI Engineering: OpenTelemetry-native LLM Observability, GPU Monitoring, Guardrails, Evaluations, Prompt Management, Vault, Playground. 🚀💻 Integrates with 40+ LLM Providers, VectorDBs, Agent Frameworks and GPUs. (Prompts)
README
#### Observability, Evaluations, Guardrails, Prompts, Vault, Playground
# Open Source Platform for AI Engineering
**[Documentation](https://docs.openlit.io/) | [Quickstart](-getting-started-with-llm-observability) | [Python SDK](https://github.com/openlit/openlit/tree/main/sdk/python) | [Typescript SDK](https://github.com/openlit/openlit/tree/main/sdk/typescript) |**
**[Roadmap](#️-roadmap) | [Feature Request](https://github.com/openlit/openlit/issues/new?assignees=&labels=%3Araised_hand%3A+Up+for+Grabs%2C+%3Arocket%3A+Feature&projects=&template=feature-request.md&title=%5BFeat%5D%3A) | [Report a Bug](https://github.com/openlit/openlit/issues/new?assignees=&labels=%3Abug%3A+Bug%2C+%3Araised_hand%3A+Up+for+Grabs&projects=&template=bug.md&title=%5BBug%5D%3A)**
[](https://openlit.io/)
[](https://github.com/openlit/openlit/blob/main/LICENSE)
[](https://pepy.tech/project/openlit)
[](https://github.com/openlit/openlit/pulse)
[](https://github.com/openlit/openlit/graphs/contributors)
[](https://join.slack.com/t/openlit/shared_invite/zt-2etnfttwg-TjP_7BZXfYg84oAukY8QRQ)
[](https://twitter.com/openlit_io)
---
https://github.com/user-attachments/assets/6909bf4a-f5b4-4060-bde3-95e91fa36168
**OpenLIT** allows you to simplify your AI development workflow, especially for Generative AI and LLMs. It streamlines essential tasks like experimenting with LLMs, organizing and versioning prompts, and securely handling API keys. With just one line of code, you can enable **OpenTelemetry-native** observability, offering full-stack monitoring that includes LLMs, vector databases, and GPUs. This enables developers to confidently build AI features and applications, transitioning smoothly from testing to production.
This project proudly follows and maintains the [Semantic Conventions](https://github.com/open-telemetry/semantic-conventions/tree/main/docs/gen-ai) with the OpenTelemetry community, consistently updating to align with the latest standards in Observability.
## ⚡ Features
- 📈 **Analytics Dashboard**: Monitor your AI application's health and performance with detailed dashboards that track metrics, costs, and user interactions, providing a clear view of overall efficiency.
- 🔌 **OpenTelemetry-native Observability SDKs**: Vendor-neutral SDKs to send traces and metrics to your existing observability tools.
- 💲 **Cost Tracking for Custom and Fine-Tuned Models**: Tailor cost estimations for specific models using custom pricing files for precise budgeting.
- 🐛 **Exceptions Monitoring Dashboard**: Quickly spot and resolve issues by tracking common exceptions and errors with a dedicated monitoring dashboard.
- 💭 **Prompt Management**: Manage and version prompts using Prompt Hub for consistent and easy access across applications.
- 🔑 **API Keys and Secrets Management**: Securely handle your API keys and secrets centrally, avoiding insecure practices.
- 🎮 **Experiemnt with different LLMs**: Use OpenGround to explore, test and compare various LLMs side by side.
## 🚀 Getting Started with LLM Observability
```mermaid
flowchart TB;
subgraph " "
direction LR;
subgraph " "
direction LR;
OpenLIT_SDK[OpenLIT SDK] -->|Sends Traces & Metrics| OTC[OpenTelemetry Collector];
OTC -->|Stores Data| ClickHouseDB[ClickHouse];
end
subgraph " "
direction RL;
OpenLIT_UI[OpenLIT] -->|Pulls Data| ClickHouseDB;
end
end
```
### Step 1: Deploy OpenLIT Stack
1. Git Clone OpenLIT Repository
Open your command line or terminal and run:
```shell
git clone [email protected]:openlit/openlit.git
```
2. Self-host using Docker
Deploy and run OpenLIT with the following command:
```shell
docker compose up -d
```
> For instructions on installing in Kubernetes using Helm, refer to the [Kubernetes Helm installation guide](https://docs.openlit.io/latest/installation#kubernetes).
### Step 2: Install OpenLIT SDK
Open your command line or terminal and run:
```bash
pip install openlit
```
> For instructions on using the TypeScript SDK, visit the [TypeScript SDK Installation guide](https://github.com/openlit/openlit/tree/main/sdk/typescript#-installation).
### Step 3: Initialize OpenLIT in your Application
Integrate OpenLIT into your AI applications by adding the following lines to your code.
```python
import openlit
openlit.init()
```
Configure the telemetry data destination as follows:
| Purpose | Parameter/Environment Variable | For Sending to OpenLIT |
|-------------------------------------------|--------------------------------------------------|--------------------------------|
| Send data to an HTTP OTLP endpoint | `otlp_endpoint` or `OTEL_EXPORTER_OTLP_ENDPOINT` | `"http://127.0.0.1:4318"` |
| Authenticate telemetry backends | `otlp_headers` or `OTEL_EXPORTER_OTLP_HEADERS` | Not required by default |
> 💡 Info: If the `otlp_endpoint` or `OTEL_EXPORTER_OTLP_ENDPOINT` is not provided, the OpenLIT SDK will output traces directly to your console, which is recommended during the development phase.
#### Example
---
Initialize using Function Arguments
Add the following two lines to your application code:
```python
import openlit
openlit.init(
otlp_endpoint="http://127.0.0.1:4318",
)
```
---
---
Initialize using Environment Variables
Add the following two lines to your application code:
```python
import openlit
openlit.init()
```
Then, configure the your OTLP endpoint using environment variable:
```env
export OTEL_EXPORTER_OTLP_ENDPOINT = "http://127.0.0.1:4318"
```
---
### Step 4: Visualize and Optimize!
With the Observability data now being collected and sent to OpenLIT, the next step is to visualize and analyze this data to get insights into your AI application's performance, behavior, and identify areas of improvement.
Just head over to OpenLIT at `127.0.0.1:3000` on your browser to start exploring. You can login using the default credentials
- **Email**: `[email protected]`
- **Password**: `openlituser`
## 🛣️ Roadmap
We are dedicated to continuously improving OpenLIT. Here's a look at what's been accomplished and what's on the horizon:
| Feature | Status |
|----------------------------------------------------------------------------------------------|---------------|
| [OpenTelemetry-native Observability SDK for Tracing and Metrics](https://github.com/openlit/openlit/tree/text-upgrade/sdk/python) | ✅ Completed |
| [OpenTelemetry-native GPU Monitoring](https://docs.openlit.io/latest/features/gpu) | ✅ Completed |
| [Exceptions and Error Monitoring](https://docs.openlit.io/latest/features/exceptions) | ✅ Completed |
| [Prompt Hub for Managing and Versioning Prompts](https://docs.openlit.io/latest/features/prompt-hub) | ✅ Completed |
| [OpenGround for Testing and Comparing LLMs](https://docs.openlit.io/latest/features/openground) | ✅ Completed |
| [Vault for Central Management of LLM API Keys and Secrets](https://docs.openlit.io/latest/features/vault) | ✅ Completed |
| [Cost Tracking for Custom Models](https://docs.openlit.io/latest/features/pricing) | ✅ Completed |
| [Real-Time Guardrails Implementation](https://docs.openlit.io/latest/features/guardrails) | ✅ Completed |
| [Programmatic Evaluation for LLM Response](https://docs.openlit.io/latest/features/evaluations) | ✅ Completed |
| [Auto-Evaluation Metrics Based on Usage](https://github.com/openlit/openlit/issues/470) | 🔜 Coming Soon |
| [Human Feedback for LLM Events](https://github.com/openlit/openlit/issues/471) | 🔜 Coming Soon |
| [Dataset Generation Based on LLM Events](https://github.com/openlit/openlit/issues/472) | 🔜 Coming Soon |
| [Search over Traces]() | 🔜 Coming Soon |
## 🌱 Contributing
Whether it's big or small, we love contributions 💚. Check out our [Contribution guide](./CONTRIBUTING.md) to get started
Unsure where to start? Here are a few ways to get involved:
- Join our [Slack](https://join.slack.com/t/openlit/shared_invite/zt-2etnfttwg-TjP_7BZXfYg84oAukY8QRQ) or [Discord](https://discord.gg/rjvTm6zd) community to discuss ideas, share feedback, and connect with both our team and the wider OpenLIT community.
Your input helps us grow and improve, and we're here to support you every step of the way.
[](https://www.producthunt.com/posts/openlit?embed=true&utm_source=badge-featured&utm_medium=badge&utm_souce=badge-openlit)
## 💚 Community & Support
Connect with OpenLIT community and maintainers for support, discussions, and updates:
- 🌟 If you like it, Leave a star on our [GitHub](https://github.com/openlit/openlit/)
- 🌍 Join our [Slack](https://join.slack.com/t/openlit/shared_invite/zt-2etnfttwg-TjP_7BZXfYg84oAukY8QRQ) or [Discord](https://discord.gg/CQnXwNT3) community for live interactions and questions.
- 🐞 Report bugs on our [GitHub Issues](https://github.com/openlit/openlit/issues) to help us improve OpenLIT.
- 𝕏 Follow us on [X](https://twitter.com/openlit_io) for the latest updates and news.
## License
OpenLIT is available under the [Apache-2.0 license](LICENSE).