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Promptic
github.comSummary
Promptic is a Python library that streamlines the development of LLM applications. It provides a productive and Pythonic way to interact with various LLM providers, offering features like structured outputs, agent creation, streaming, and conversation memory. It aims to simplify the integration and customization of large language models for developers.
Feature Matches6/13
See all6/13
Must Have
3 of 5
Conversational AI
API Access
Fine-Tuning & Custom Models
Safety & Alignment Framework
Enterprise Solutions
Other
3 of 8
Image Generation
Code Generation
Multimodal AI
Research & Publications
Security & Red Teaming
Synthetic Media Provenance
Threat Intelligence Reporting
Global Affairs & Policy
PricingFreemium
See allFreemium
Free
$0.00 monthly
- Unlimited public/private repositories
- Dependabot security and version updates
- Issues & Projects
- Community support
- 2,000 CI/CD minutes/month (Free for public repositories)
- 500MB of Packages storage (Free for public repositories)
Team
$4.00 per user
Popular- Everything included in Free
- Access to GitHub Codespaces
- Protected branches
- Multiple reviewers in pull requests
- Draft pull requests
- Code owners
- Required reviewers
- Pages and Wikis
- Environment deployment branches and secrets
- Web-based support
- 3,000 CI/CD minutes/month (Free for public repositories)
- 2GB of Packages storage (Free for public repositories)
Enterprise
$21.00 per user
- Everything included in Team
- Data residency
- Enterprise Managed Users
- User provisioning through SCIM
- Enterprise Account to centrally manage multiple organizations
- Environment protection rules
- Repository rules
- Audit Log API
- SOC1, SOC2, type 2 reports annually
- FedRAMP Tailored Authority to Operate (ATO)
- SAML single sign-on
- Advanced auditing
- GitHub Connect
- 50,000 CI/CD minutes/month (Free for public repositories)
- 50GB of Packages storage (Free for public repositories)
Rationale
Promptic is a Python library designed to simplify LLM application development. It offers features like type-safe structured outputs, easy-to-build agents with function calling, streaming support, and built-in conversation memory, which directly align with conversational AI capabilities. Its core functionality relies on integrating with LLM providers via API, and it supports fine-tuning through its integration with LiteLLM. The documentation explicitly mentions image support and code generation capabilities, indicating multimodal AI and code generation features. While it doesn't directly offer enterprise solutions or a safety framework as a standalone product, it provides the building blocks for developers to implement these within their applications.
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See allBest alternatives to [Product] in 2024?
Reddit·tech_enthusiast·2d ago·+142
I've been using Alternative A for 6 months now and it's been fantastic. The pricing is much better and the features are actually more robust than what [Product] offers.
Show HN: We built a better [Product]
Hacker News·startup_founder·5d ago·+89
After struggling with [Product]'s limitations, we decided to build our own solution.
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[Product] vs Competitor B - which one should I choose?
Reddit·confused_buyer·Oct 14·+67
Honestly, after trying both, Competitor B wins hands down. Better customer support, cleaner interface, and they don't nickel and dime you for every feature.
Why we migrated away from [Product]
Hacker News·cto_mike·Oct 11·+234
The breaking point was when they changed their API without notice. We lost 3 days of productivity. Solution C has been rock solid for us since we switched.