Alternatives to Mirascope

The first platform designed for prompt engineers. Log OpenAI requests, track usage history, visual manage prompt templates, and track performance. Manage Never forget one good prompt. GPT in Prod, done right. Trusted by more than 1,000 engineers to monitor API usage and version prompts. Your prompts can be used in production. Click "log in" to create an account on PromptLayer. Once you have logged in, click on the button to create an API Key and save it in a secure place. After you have made your first few requests, the API key should be visible in the PromptLayer dashboard. LangChain can be used with PromptLayer. LangChain is a popular Python library that assists in the development and maintenance of LLM applications. It offers many useful features such as memory, agents, chains, and agents. Our Python wrapper library, which can be installed with pip, is the best way to access PromptLayer at this time.

Klu.ai, a Generative AI Platform, simplifies the design, deployment, and optimization of AI applications. Klu integrates your Large Language Models and incorporates data from diverse sources to give your applications unique context. Klu accelerates the building of applications using language models such as Anthropic Claude (Azure OpenAI), GPT-4 (Google's GPT-4), and over 15 others. It allows rapid prompt/model experiments, data collection and user feedback and model fine tuning while cost-effectively optimising performance. Ship prompt generation, chat experiences and workflows in minutes. Klu offers SDKs for all capabilities and an API-first strategy to enable developer productivity. Klu automatically provides abstractions to common LLM/GenAI usage cases, such as: LLM connectors and vector storage, prompt templates, observability and evaluation/testing tools.

With confidence, collaborate on prompts, monitor and evaluate LLM apps. Agenta is an integrated platform that allows teams to build robust LLM applications quickly. Create a playground where your team can experiment together. Comparing different prompts, embeddings, and models in a systematic way before going into production is key. Share a link with the rest of your team to get human feedback. Agenta is compatible with all frameworks, including Langchain, Lama Index and others. Model providers (OpenAI, Cohere, Huggingface, self-hosted, etc.). You can see the costs, latency and chain of calls for your LLM app. You can create simple LLM applications directly from the UI. If you want to create customized applications, then you will need to use Python to write the code. Agenta is model-agnostic, and works with any model provider or framework. Our SDK is currently only available in Python.

One line of code allows you to track costs, usage and latency in GPT applications. OpenAI is trusted by leading companies. Soon, we will support Anthropic Cohere Google AI and more. Keep track of your costs, usage and latency. Integrate models such as GPT-4 and Helicone to track requests for APIs and visualize results. Dashboards for generative AI applications are available to give you an overview of the application. All of your requests can be viewed in one place. Filter by time, user, and custom properties. Track spending for each model, user or conversation. This data can be used to optimize API usage and reduce cost. Helicone can cache requests to reduce latency and save money. It can also be used to track errors and handle rate limits.

CometLLM allows you to visualize and log your LLM chains and prompts. CometLLM can be used to identify effective prompting strategies, streamline troubleshooting and ensure reproducible workflows. Log your prompts, responses, variables, timestamps, duration, and metadata. Visualize your responses and prompts in the UI. Log your chain execution to the level you require. Visualize your chain in the UI. OpenAI chat models automatically track your prompts. Track and analyze feedback from users. Compare your prompts in the UI. Comet LLM Projects are designed to help you perform smart analysis of logged prompt engineering workflows. Each column header corresponds with a metadata attribute that was logged in the LLM Project, so the exact list can vary between projects.

Literal AI is an open-source platform that helps engineering and product teams develop production-grade Large Language Model applications. It provides a suite for observability and evaluation, as well as analytics. This allows for efficient tracking, optimization and integration of prompt version. The key features are multimodal logging encompassing audio, video, and vision, prompt management, with versioning and testing capabilities, as well as a prompt playground to test multiple LLM providers. Literal AI integrates seamlessly into various LLM frameworks and AI providers, including OpenAI, LangChain and LlamaIndex. It also provides SDKs for Python and TypeScript to instrument code. The platform supports the creation and execution of experiments against datasets to facilitate continuous improvement in LLM applications.

Prompt hunt's advanced AI model, called Chroma, along with a library of styles and templates that have been verified, makes creating art simple and accessible. Prompt Hunt gives you the tools to unleash your creativity and create stunning art and assets in minutes, whether you're an experienced artist or a novice. We know how important privacy is, so we provide this feature to our users. Templates in Prompt hunt are pre-designed structures or frameworks that simplify the process of creating artwork without the need for complex prompt engineers. The template will handle the work behind the scenes and generate the desired output by simply entering the subject and clicking "create". Anyone can create their own templates with Prompt Hunt. You can choose to share or keep your designs private.

The prompt engineering platform allows you to experiment with different prompt versions. You can also evaluate and compare prompts in a series of tests, optimize prompts by one click, share and more. Optimize your AI development workflow. Key features that help you identify and get the best prompts for production use cases. Evaluation allows for a side-by-side comparison between prompts in test cases. Import test cases from CSV and define custom metrics for evaluation. Automatic template and prompt optimization can improve LLM results. View and manage all versions of the prompt and create OpenAI Functions. You can access all your prompts programmatically. This includes observability and analytics. Calculate the cost, latency and effectiveness of each prompt. Parea can help you improve your prompt engineering workflow. Parea helps developers improve the performance of LLM apps by implementing rigorous testing and versioning.

Aim logs your AI metadata (experiments and prompts) enables a UI for comparison & observation, and SDK for programmatic querying. Aim is a self-hosted, open-source AI Metadata tracking tool that can handle 100,000s tracked metadata sequences. The two most famous AI metadata applications include experiment tracking and prompting engineering. Aim offers a beautiful and performant UI for exploring, comparing and exploring training runs and prompt sessions.

Automatic output evaluation and testing will turbocharge your team's prompt development by ensuring high quality LLM outputs. With the ability to save and organize prompt configurations, you can easily design and organize your prompts. Automated tests will give you comprehensive results in just seconds. This will save you time and increase your efficiency. Structure your prompt configurations precisely, and then deploy them instantly to your own software applications. Design, test and deploy prompts as quickly as you can think. Your team can help you bridge the gap between technical execution of prompts and their real-world relevance. PromptPoint is a natively no-code platform that allows anyone in your team to create and test prompt configurations. Connecting seamlessly with hundreds of large languages models allows you to maintain flexibility in a world of many models.

Lisapet.ai, an advanced AI prompt-testing platform, accelerates the development and deployment of AI features. It was developed by a team that manages a SaaS platform powered by AI with over 15M users. It automates prompt tests, reducing manual work and ensuring reliable outcomes. The AI Playground is a key feature, as are parameterized prompts and structured outputs. Work together seamlessly with automated testing suites, detailed reporting, and real-time analysis to optimize performance and reduce costs. Lisapet.ai helps you ship AI features faster, with greater confidence.

Pezzo is an open-source LLMOps tool for developers and teams. With just two lines of code you can monitor and troubleshoot your AI operations. You can also collaborate and manage all your prompts from one place.

LMOps is a stack that allows you to launch production-ready applications for monitoring, model management and more. Portkey is a replacement for OpenAI or any other provider APIs. Portkey allows you to manage engines, parameters and versions. Switch, upgrade, and test models with confidence. View aggregate metrics for your app and users to optimize usage and API costs Protect your user data from malicious attacks and accidental exposure. Receive proactive alerts if things go wrong. Test your models in real-world conditions and deploy the best performers. We have been building apps on top of LLM's APIs for over 2 1/2 years. While building a PoC only took a weekend, bringing it to production and managing it was a hassle! We built Portkey to help you successfully deploy large language models APIs into your applications. We're happy to help you, regardless of whether or not you try Portkey!

All in one place, simplify prompt edits, SDK integration, and version control. No more waiting for deployments or scattered tools. Explore features designed to streamline your workflow and elevate prompting engineering. Manage your projects and prompts in a structured manner with tools that keep everything organized. Adapt your prompts dynamically to the context of your app, improving user experience through tailored interactions. Our user-friendly SDK is designed to minimize disruption and maximize efficiency. Utilize detailed analytics to better understand prompt performance, user interaction, and areas for improvements, based on concrete data. Invite team members to work together in a shared workspace where everyone can review, refine, and contribute prompts. Control access and permissions to ensure that your team members can work efficiently.

The xAI PromptIDE integrates development for prompt engineering, interpretability research and other related tasks. It accelerates prompting engineering through an SDK which allows complex prompting techniques to be implemented and rich analytics to visualize the network's results. We use it heavily for our Grok continuous development. We developed PromptIDE in order to provide engineers and researchers with transparent access to Grok-1 - the model that powers Grok - to the community. The IDE was designed to empower users, and allow them to explore the capabilities of large language models at their own pace. The IDE's core is a Python editor that, when combined with a new SDK, allows for complex prompting techniques. Users can see useful analytics while executing prompts within the IDE. These include the precise tokenization of the prompt, sampling probabilities and alternative tokens. The IDE offers a number of features that enhance the quality of life. It automatically saves prompts.

Haystack’s pipeline architecture allows you to apply the latest NLP technologies to your data. Implement production-ready semantic searching, question answering and document ranking. Evaluate components and fine tune models. Haystack's pipelines allow you to ask questions in natural language, and find answers in your documents with the latest QA models. Perform semantic search to retrieve documents ranked according to meaning and not just keywords. Use and compare the most recent transformer-based language models, such as OpenAI's GPT-3 and BERT, RoBERTa and DPR. Build applications for semantic search and question answering that can scale up to millions of documents. Building blocks for the complete product development cycle, including file converters, indexing, models, labeling, domain adaptation modules and REST API.

Automated voice testing, monitoring and more. Test your AI voice agent with 1000s of simulated users within minutes. It's hard to get AI voice agents right. LLM outputs can be affected by a small change in the prompts, function calls or model providers. We are the only platform that can support you from development through to production. Hamming allows you to store, manage, update and sync your prompts with voice infra provider. This is 1000x faster than testing voice agents manually. Use our prompt playground for testing LLM outputs against a dataset of inputs. Our LLM judges quality of generated outputs. Save 80% on manual prompt engineering. Monitor your app in more than one way. We actively track, score and flag cases where you need to pay attention. Convert calls and traces to test cases, and add them to the golden dataset.

Compose, test and optimize prompts for the most popular language models and AI platforms. Promptmetheus, an Integrated Development Environment for LLM prompts is designed to help automate workflows and enhance products and services using the mighty GPT and other cutting edge AI models. The transformer architecture has enabled cutting-edge Language Models to reach parity with the human ability in certain narrow cognitive tasks. To effectively leverage their power, however, we must ask the right questions. Promptmetheus is a complete prompt engineering software toolkit that adds composability and traceability to the prompt design to help you discover those questions.

SpellPrints allows creators to create and monetize generative AI-powered apps. The platform provides access to over 1,000 AI models and UI elements, as well as payments and prompt chaining interfaces. This makes it easy for prompt engineers turn their knowledge into a business. The creator can transform prompts or AI models into monetizable apps that can be distributed via UI and API. We are creating both a platform for developers and a marketplace where users can find and use these apps.

Use tools to bring LLM-powered features into production, including tools for rapid engineering, semantic searching, version control, quantitative testing, and performance monitoring. Compatible with all major LLM providers. Develop an MVP quickly by experimenting with various prompts, parameters and even LLM providers. Vellum is a low-latency and highly reliable proxy for LLM providers. This allows you to make version controlled changes to your prompts without needing to change any code. Vellum collects inputs, outputs and user feedback. These data are used to build valuable testing datasets which can be used to verify future changes before going live. Include dynamically company-specific context to your prompts, without managing your own semantic searching infrastructure.

Maxim is a enterprise-grade stack that enables AI teams to build applications with speed, reliability, and quality. Bring the best practices from traditional software development to your non-deterministic AI work flows. Playground for your rapid engineering needs. Iterate quickly and systematically with your team. Organise and version prompts away from the codebase. Test, iterate and deploy prompts with no code changes. Connect to your data, RAG Pipelines, and prompt tools. Chain prompts, other components and workflows together to create and test workflows. Unified framework for machine- and human-evaluation. Quantify improvements and regressions to deploy with confidence. Visualize the evaluation of large test suites and multiple versions. Simplify and scale human assessment pipelines. Integrate seamlessly into your CI/CD workflows. Monitor AI system usage in real-time and optimize it with speed.

Entry Point AI is a modern AI optimization platform that optimizes proprietary and open-source language models. Manage prompts and fine-tunes in one place. We make it easy to fine-tune models when you reach the limits. Fine-tuning involves showing a model what to do, not telling it. It works in conjunction with prompt engineering and retrieval augmented generation (RAG) in order to maximize the potential of AI models. Fine-tuning your prompts can help you improve their quality. Imagine it as an upgrade to a few-shot model that incorporates the examples. You can train a model to perform at the same level as a high-quality model for simpler tasks. This will reduce latency and costs. For safety, to protect the brand, or to get the formatting correct, train your model to not respond in a certain way to users. Add examples to your dataset to cover edge cases and guide model behavior.

Empower non-technical and technical teams to test LLM apps, and ship more reliable products faster. Accelerate LLM app development in as little as 45 days. A collaborative and friendly UI empowers both technical and non-technical team members. With comprehensive test coverage, you can gain full visibility into the behavior of your LLM application. Ottic integrates with the tools that your QA and Engineers use every day. Build a comprehensive test suite that covers any real-world scenario. Break down test scenarios into granular steps to detect regressions within your LLM product. Get rid of hardcoded instructions. Create, manage, track, and manage prompts with ease. Bridge the gap between non-technical and technical team members to ensure seamless collaboration. Tests can be run by sampling to optimize your budget. To produce more reliable LLM applications, you need to find out what went wrong. Get real-time visibility into the way users interact with your LLM app.

Create generative AI apps for engineers and not just ML practitioners. Focus on creating instead of configuring. No more switching platforms or wrestling with APIs. Use a familiar interface for AI and to prompt engineers. Workbooks can be easily streamlined into templates by using parameters. Create workflows using model outputs from LLMs and image and audio models. Create groups to manage workbooks between your teammates. Share your workbook with your team or the public, or to specific organizations that you define. Workbooks can be commented on and compared with your team. Create templates for you, your team or the developer community. Get started quickly by using templates to see what others are building.

PromptPerfect is a cutting-edge prompt optimizer that works with large language models (LLMs), large model (LMs), and LMOps. It can be difficult to find the right prompt - it is the key to great AI-generated content. PromptPerfect is here to help! Our innovative tool streamlines prompt engineering by automatically optimizing your prompts to ChatGPT, GPT-3, DALLE, StableDiffusion, and GPT-3.5 models. PromptPerfect is easy to use for prompt optimization, whether you are a prompt engineer or content creator. PromptPerfect delivers top-quality results every single time thanks to its intuitive interface and powerful features. PromptPerfect is the perfect solution to AI-generated content that is subpar.

PromptHub allows you to test, collaborate, version and deploy prompts from a single location. Use variables to simplify prompt creation and stop copying and pasting. Say goodbye to spreadsheets and compare outputs easily when tweaking prompts. Batch testing allows you to test your datasets, and prompts, at scale. Test different models, parameters, and variables to ensure consistency. Test different models, system messaging, or chat templates. Commit prompts, branch out, and collaborate seamlessly. We detect prompts changes so you can concentrate on outputs. Review changes in a team setting, approve new versions and keep everyone on track. Monitor requests, costs and latencies easily. PromptHub allows you to easily test, collaborate, and version prompts. With our GitHub-style collaboration and versioning, it's easy to iterate and store your prompts in one place.

PromptPerfekt helps users create precise and effective prompts to be used with large language models and other AI applications. It has features like automatic prompt optimization, support of various AI models such as ChatGPT and GPT-3/3.5/4. Support for DALL-E 2 and MidJourney. Customizable multi-goal optimizing to tailor prompts according to specific needs. The platform can deliver optimized prompts within 10 seconds and supports multiple languages. This makes it accessible to global audiences. PromptPerfekt offers an easy-to use API and data export capabilities for seamless integration with existing workflows.

Narrow AI: Remove the Engineer from Prompt Engineering Narrow AI automatically writes, monitors and optimizes prompts on any model. This allows you to ship AI features at a fractional cost. Maximize quality and minimize costs Reduce AI costs by 95% using cheaper models Automated Prompt Optimizer: Improve accuracy - Achieve faster response times with lower latency models Test new models within minutes, not weeks - Compare the performance of LLMs quickly - Benchmarks on cost and latency for each model - Deploy the optimal model for your usage case Ship LLM features up to 10x faster - Automatically generate expert level prompts - Adapt prompts as new models are released - Optimize prompts in terms of quality, cost and time

Create and version control your prompts. Retrieve prompts using an API generated automatically. Automate the end-to-end LLM test before updating your prompts in production. Let your engineers and industry specialists collaborate on the same platform. Let your industry experts and prompt engineers test, iterate and collaborate on the same platform, without any programming knowledge. You can run an unlimited number of test cases with our testing suite to ensure the quality and reliability of your prompt. Check for issues, edge-cases, and more. Our suite of prompts is the most complex. Use Git features to manage your prompts. Create a repository and multiple branches for each project to iterate your prompts. Commit changes and test them on a separate system. Revert to an earlier version with ease. Our real-time APIs allow you to update your prompt in real time with just one click.

Promptologer supports the next generation of prompt engineers and entrepreneurs. Promptologer allows you to display your collection of GPTs and prompts, share content easily with our blog integration and benefit from shared traffic through the Promptologer eco-system. Your all-in one toolkit for product development, powered by AI. UserTale helps you plan and execute your product strategy with ease, while minimizing ambiguity. It does this by generating product requirements and crafting insightful personas for users and business models. Yippity's AI powered question generator can automatically convert text into multiple-choice, true/false or fill-in the blank quizzes. The different prompts can produce a variety of outputs. We provide you with a platform to deploy AI web applications exclusive to your team. This allows team members the ability to create, share and use company-approved prompts.

DagsHub, a collaborative platform for data scientists and machine-learning engineers, is designed to streamline and manage their projects. It integrates code and data, experiments and models in a unified environment to facilitate efficient project management and collaboration. The user-friendly interface includes features such as dataset management, experiment tracker, model registry, data and model lineage and model registry. DagsHub integrates seamlessly with popular MLOps software, allowing users the ability to leverage their existing workflows. DagsHub improves machine learning development efficiency, transparency, and reproducibility by providing a central hub for all project elements. DagsHub, a platform for AI/ML developers, allows you to manage and collaborate with your data, models and experiments alongside your code. DagsHub is designed to handle unstructured data, such as text, images, audio files, medical imaging and binary files.

To get the best results from AI tools, you need to have a good understanding of how to design prompts. AI Keytalk generates thousands of prompts that are industry-specific. You can create the perfect idea by using expressions from reviews of more than 88,000 movies and TV shows. Use AI Keytalk prompts for everything you need to create your next TV show or movie. With a comprehensive production plan that includes movie references, cast and staff suggestions, and more, you can collaborate easily right away. Use AI Keytalk prompts for a storyline to bring characters to life. Refer to thousands of prompts compiled from existing comics and novels for plot development, character creation, writing style and climax. Use AI Keytalk to find the right prompts for describing the art direction of your movie poster, character concepts, scene development and more. Combine it with generative AI to build references and improve collaboration.

Meet Ape, our first AI prompt engineer. Equipped with tracing and dataset curation. Batch testing, evals, and evalus. Ape achieved an impressive 93% in the GSM8K benchmark. This is higher than DSPy (86%), and base LLMs (70%) Continuously optimize prompts by using real-world data. Integrating CI/CD can prevent performance regression. Human-in-the loop with feedback and scoring. Ape uses the Weavel SDK in order to automatically log your dataset and add LLM generation as you use it. This allows for seamless integration and continuous improvements specific to your use cases. Ape automatically generates evaluation code and relies on LLMs to be impartial judges for complex tasks. This streamlines your assessment process while ensuring accurate and nuanced performance metrics. Ape is reliable because it works under your guidance and feedback. Ape will improve if you send in scores and tips. Equipped with logging and testing for LLM applications.

Take control of your LLMs with Freeplay. It gives product teams the ability to prototype faster, test confidently, and optimize features. A better way to build using LLMs. Bridge the gap between domain specialists & developers. Engineering, testing & evaluation toolkits for your entire team.

We are ready to meet all your business needs, whether it is quick engineering, fine-tuning or training. The Together Inference API makes it easy to integrate your new model in your production application. Together AI's elastic scaling and fastest performance allows it to grow with you. To increase accuracy and reduce risks, you can examine how models are created and what data was used. You are the owner of the model that you fine-tune and not your cloud provider. Change providers for any reason, even if the price changes. Store data locally or on our secure cloud to maintain complete data privacy.

AI engineering does not have to be a mystery. You can get full visibility using tools for tracing and evaluation, prompt management and more. HoneyHive is a platform for AI observability, evaluation and team collaboration that helps teams build reliable generative AI applications. It provides tools for evaluating and testing AI models and monitoring them, allowing engineers, product managers and domain experts to work together effectively. Measure the quality of large test suites in order to identify improvements and regressions at each iteration. Track usage, feedback and quality at a large scale to identify issues and drive continuous improvements. HoneyHive offers flexibility and scalability for diverse organizational needs. It supports integration with different model providers and frameworks. It is ideal for teams who want to ensure the performance and quality of their AI agents. It provides a unified platform that allows for evaluation, monitoring and prompt management.

Prompts have become a powerful way to program AI models such as DALL*E and Midjourney. It's difficult to find high-quality prompts on the internet. There's no easy way to earn a living if you're a good prompt engineer. PromptBase allows you to buy and sell quality prompts, which produce the best results and save money on API costs. Find the best prompts to produce better results and save money on API costs. You can also sell your own prompts. PromptBase was the first marketplace to sell DALL*E Midjourney Stable Diffusion and GPT prompts. PromptBase is a marketplace where you can sell your prompts and earn money. Upload your prompt and connect to Stripe in 2 minutes. Stable Diffusion allows you to start prompt engineering immediately within PromptBase. Create prompts and sell them in the marketplace. Get 5 generation credits for free every day.

PromptPal is the ultimate platform for discovering, sharing and showcasing the best AI prompts. Boost productivity and generate new ideas. PromptPal offers over 3,400 AI prompts for free. Browse our catalog of directions to be inspired and more productive. Browse our large collection of ChatGPT prompts to get inspired and become more productive today. Earn revenue by sharing your prompt engineering knowledge with the PromptPal Community.

ChatGPT offers prompts for SEO, marketing, copywriting and more. ChatGPT now has an AIPRM extension that adds curated prompt templates. This productivity boost is yours for free! Prompt Engineers publish the best prompts for you. Experts who publish their prompts are rewarded with exposure, click-thrus and traffic to their websites. AIPRM is your AI prompt kit. Everything you need for prompting ChatGPT. AIPRM covers many topics such as SEO, customer support, and playing guitar. Do not waste time trying to find the perfect prompts. Let the AIPRM ChatGPT Extension do the hard work for you. These prompts will help optimize your website, increase its ranking on search engines, find new product strategies, and improve sales and support for your SaaS. AIPRM is the AI prompt management tool you've been looking for.

The prompt you enter is crucial to generating high-quality images on AI Image platforms such as MidJourney. PromptMakr is a super-easy way to create and store your own high-quality prompts using an interactive user interface.

AI Tools Kit is an all-in-one platform that provides a variety of tools including AI Art Generators, Prompt Engineering Tools, AI Undetectable Rewriters, Keyword Research Tool (CPCs, Search Vols & Difficulties), Text to Speech Pros, ChatGPT4s (launching soon), Image Background Removals, Instagram Hashtags Generators, Image Quality Enhancers, Trending YouTube tags, URL Shortener Backlink Maker QR Code Generators, Keywords Providers for Particular Search Engine

Iterate quickly, and ship confidently. Ship confidently by evaluating prompts using a suite evals such as context recall, llm rubric (LLM is a judge), latencies, and more. We can handle complex implementations and intelligent caching to save you money and time. Iterate quickly on your prompts using a collaborative playground. This includes all major providers, variables, versioning and more. You can easily build datasets using real data by using Logs. You can also upload your own CSV or collaborate to build and edit them within your Adaline workspace. Our APIs allow you to track usage, latency and other metrics in order to monitor the performance of your LLMs. Our APIs allow you to continuously evaluate your completions on production, see the way your users use your prompts, create datasets, and send logs. The platform allows you to iterate and monitor LLMs. You can easily rollback if you see a decline in your production and see how the team iterated on the prompt.

ChainForge is a visual programming environment that is open-source and designed for large language model evaluation. It allows users to evaluate the robustness and accuracy of text-generation models and prompts beyond anecdotal data. Test prompt ideas and variations simultaneously across multiple LLMs in order to identify the most efficient combinations. Evaluate response quality for different prompts, models and settings to determine the optimal configuration. Set up evaluation metrics, and visualize results for prompts, parameters and models. This will facilitate data-driven decisions. Manage multiple conversations at once, template follow-ups, and inspect the outputs to refine interactions. ChainForge supports a variety of model providers including OpenAI HuggingFace Anthropic Google PaLM2, Azure OpenAI Endpoints and locally hosted models such as Alpaca and Llama. Users can modify model settings and use visualization nodes.

We believe that the most effective and differentiated applications won't only call out via an API to a language model. LangChain supports several modules. We provide examples, how-to guides and reference docs for each module. Memory is the concept that a chain/agent calls can persist in its state. LangChain provides a standard interface to memory, a collection memory implementations and examples of agents/chains that use it. This module outlines best practices for combining language models with your own text data. Language models can often be more powerful than they are alone.

Gemini Flash, a large language model from Google, is specifically designed for low-latency, high-speed language processing tasks. Gemini Flash, part of Google DeepMind’s Gemini series is designed to handle large-scale applications and provide real-time answers. It's ideal for interactive AI experiences such as virtual assistants, live chat, and customer support. Gemini Flash is built on sophisticated neural structures that ensure contextual relevance, coherence, and precision. Google has built in rigorous ethical frameworks as well as responsible AI practices to Gemini Flash. It also equipped it with guardrails that manage and mitigate biased outcomes, ensuring alignment with Google's standards of safe and inclusive AI. Google's Gemini Flash empowers businesses and developers with intelligent, responsive language tools that can keep up with fast-paced environments.

Manage source code context, and generate optimized prompts. Ship with ChatGPT or Claude. 16x Prompt is a tool that helps developers manage the source code context, and provides prompts for complex coding tasks in existing codebases. Enter your own API Key to use APIs such as OpenAI, Anthropic Azure OpenAI OpenRouter or 3rd-party services that are compatible with OpenAI APIs, like Ollama and OxyAPI. APIs prevent your code from leaking to OpenAI and Anthropic training data. Compare the output code of different LLMs (for example, GPT-4o & Claude 3.5 Sonnet), side-by-side, to determine which is best for your application. Create and save your best prompts to be used across different tech stacks such as Next.js Python and SQL. To get the best results, fine-tune your prompt using various optimization settings. Workspaces allow you to manage multiple repositories, projects and workspaces in one place.

HumanLayer is a SDK and API that allows AI agents to communicate with humans for feedback, input and approvals. It ensures human oversight of high stakes function calls, with approval workflows on Slack, emails, and more. HumanLayer integrates with your Large Language Model (LLM), framework, and other tools to give AI agents safe access to the rest of the world. The platform supports a variety of frameworks and LLMs including LangChain (LangChain), CrewAI (ControlFlow), LlamaIndex (LlamaIndex), Haystack (OpenAI), Claude, Llama3.1(Llama3.1), Mistral, Gemini and Cohere. HumanLayer features include approval workflows, integration of humans as tools, and custom responses that escalate. Pre-fill responses for seamless human-agent interaction. Control which users are able to approve or respond to LLM request. Invert the control flow, from human-initiated requests to agent-initiated ones. Add human contact channels to the toolchain of your agent.

OpenPipe provides fine-tuning for developers. Keep all your models, datasets, and evaluations in one place. New models can be trained with a click of a mouse. Automatically record LLM responses and requests. Create datasets using your captured data. Train multiple base models using the same dataset. We can scale your model to millions of requests on our managed endpoints. Write evaluations and compare outputs of models side by side. You only need to change a few lines of code. OpenPipe API Key can be added to your Python or Javascript OpenAI SDK. Custom tags make your data searchable. Small, specialized models are much cheaper to run than large, multipurpose LLMs. Replace prompts in minutes instead of weeks. Mistral and Llama 2 models that are fine-tuned consistently outperform GPT-4-1106 Turbo, at a fraction the cost. Many of the base models that we use are open-source. You can download your own weights at any time when you fine-tune Mistral or Llama 2.

Gemini is multimodal by default, giving you the ability to transform any input into any output. We built Gemini responsibly, incorporating safeguards from the beginning and working with partners to make it more inclusive and safer. Integrate Gemini models in your applications using Google AI Studio and Google Cloud Vertex AI.

A right-hand panel that is intuitive for ChatGPT. Google Gemini. Claude.ai. Mistral. Groq. and Pi.ai. Click to access your prompt library. The PI Prompts Chrome Extension is a powerful tool that enhances your experience with AI models. The extension simplifies workflow by eliminating the constant copy-pasting. It allows you to upload and download prompts in JSON, so that you can share them with friends or create task-specific collections. This extension filters your right panel as you type your prompt (as normal) by showing all the related prompts. You can upload and download your prompt list at any time, even if it is in JSON format. Edit and delete prompts directly from the panel. Your prompts are synced across all devices where you use Chrome. The panel can be used with either a light or dark theme.