C4rohan/Lampline

选用指南

AI 根据 README 整理 · 2026/10/20 07:31:50

适用场景

适用于需要自托管语音代理的场景，可从 Dialogflow CX 或 CX Agent Studio 导入现有代理，或新建代理，并通过电话或 SIP 进行通话。

查看 README 依据

Lampline imports your Dialogflow CX and CX Agent Studio agents, flows, pages, playbooks, forms and tools included, and runs them on hardware you control. It gives you a drag-and-drop builder where LLM steps and scripted pages mix in one agent, a test console that lights up each step as the call moves, HTTP and MCP tools, records and document search of its own, and phone calls over Twilio, Telnyx or any SIP trunk through jambonz. Built on [Pipecat](https://github.com/pipecat-ai/pipecat). <table> <tr>

<p><b>🧠 20 model providers.</b> Pick one, paste a key, press Test connection. Speech runs in the cloud or free on your own computer.</p> </td> </tr> <tr> <td valign="top"> <picture> <source media="(prefers-color-scheme: dark)" srcset="docs/images/connections-dark.webp"> <img src="docs/images/connections-light.webp" alt="Phone numbers and SIP, and contact centers marked coming soon"> </picture> <p><b>📞 Phone calls and SIP.</b> Twilio, Telnyx, or your own SIP trunk, PBX or SBC through jambonz. Genesys, Avaya, Cisco and more are coming.</p> </td>

使用方式

通过 Docker 容器或本地 Python 脚本运行，提供 Web 界面进行构建、测试和集成，也提供命令行工具 vk 用于代理管理。

查看 README 依据

| **Local and on-prem** | ✅ Available | One Docker container, or the engine natively, on any machine you control | | **Google Cloud** | 🔜 Coming soon | A one-command deployment to your own Google Cloud project | ## 🚀 Quick start Needs Docker with Compose v2 (Docker Desktop is fine). ```bash git clone https://github.com/C4rohan/lampline && cd lampline scripts/docker-up.sh # builds the image, starts it, prints the address to open ``` It prints a link like `http://localhost:7860/#/?key=…`: open it once and the

Prefer no Docker? `scripts/engine-up.sh` runs the engine natively (Python 3.11+) at http://localhost:7860, which also lets browser calls reach it directly. Free, private speech: Integrations → Whisper and Kokoro → **Download models**. ## 🧠 Models Pick one on the Integrations page; each starts on a sensible default model you can change, and **Test connection** checks the key. | Provider | Key | |---|---| | Claude (Anthropic) | `ANTHROPIC_API_KEY` | | OpenAI, or any OpenAI-compatible endpoint | `OPENAI_API_KEY`, `VPE_LLM_BASE_URL` | | Gemini | `GEMINI_API_KEY` |

builder. Each agent is a folder: `agent.yaml` for the graph and one Markdown file per prompt, so changes are reviewable in git. ```bash pip install -e cli # installs the `vk` command vk templates install front-desk # start from a ready-made agent vk lint agents/front-desk # graph checks + a scan for real-looking patient data vk test agents/front-desk # runs tests/*.yaml conversations on the engine vk import dfcx export.zip # bring an agent over from Dialogflow CX or CX Agent Studio

部署要求

需要 Docker 和 Compose v2，或 Python 3.11+ 以本地运行；使用模型提供商需要相应的 API 密钥。

查看 README 依据

| **Local and on-prem** | ✅ Available | One Docker container, or the engine natively, on any machine you control | | **Google Cloud** | 🔜 Coming soon | A one-command deployment to your own Google Cloud project | ## 🚀 Quick start Needs Docker with Compose v2 (Docker Desktop is fine). ```bash git clone https://github.com/C4rohan/lampline && cd lampline scripts/docker-up.sh # builds the image, starts it, prints the address to open ``` It prints a link like `http://localhost:7860/#/?key=…`: open it once and the

Prefer no Docker? `scripts/engine-up.sh` runs the engine natively (Python 3.11+) at http://localhost:7860, which also lets browser calls reach it directly. Free, private speech: Integrations → Whisper and Kokoro → **Download models**. ## 🧠 Models Pick one on the Integrations page; each starts on a sensible default model you can change, and **Test connection** checks the key. | Provider | Key | |---|---| | Claude (Anthropic) | `ANTHROPIC_API_KEY` | | OpenAI, or any OpenAI-compatible endpoint | `OPENAI_API_KEY`, `VPE_LLM_BASE_URL` | | Gemini | `GEMINI_API_KEY` |

| Gemini on Vertex AI | `GOOGLE_CLOUD_PROJECT` plus a service account key or this computer's Google credentials | | Azure OpenAI | `AZURE_OPENAI_API_KEY`, `AZURE_OPENAI_ENDPOINT` | | Amazon Bedrock | AWS keys, or this computer's AWS credentials | | Groq, Mistral, DeepSeek, Grok (xAI), Together AI, Fireworks AI, OpenRouter, Cerebras, NVIDIA NIM, Qwen, SambaNova, Nebius, Novita AI | each provider's API key | | Ollama | none: open models on this computer or your own server | ## 📞 Phone calls and SIP | | | |---|---| | Twilio | a Twilio number rings your agent; outbound calls from triggers |

已知限制

Google Cloud 部署和部分联系中心集成（如 Genesys、Avaya）尚未推出，处于规划中。

查看 README 依据

- [x] Dialogflow CX and CX Agent Studio import and export ([cli/README.md](cli/README.md#import)) - [x] Records and local RAG of its own ([engine/README.md](engine/README.md#data-and-knowledge)) - [x] One Docker container for local and on-prem - [x] 20 model providers; SIP through jambonz - [ ] **Google Cloud deployment** (coming soon) - [ ] **Contact centers:** Genesys Cloud, Avaya, Cisco Webex Contact Center, Cisco UCCE, Amazon Connect, NICE CXone, Five9, Twilio Flex (coming soon) - [ ] Live-agent transfers, call recordings, published benchmarks