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    "excerpt": "Build and run your first Pipecat voice AI bot in under 5 minutes",
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    "url": "https://docs.pipecat.ai/pipecat/fundamentals/interruptions.md",
    "excerpt": "When the user starts speaking while the bot is talking, the bot stops immediately, in-flight work is cancelled, and the pipeline is ready for the new user input.",
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    "url": "https://docs.pipecat.ai/pipecat/fundamentals/recording-audio.md",
    "excerpt": "Pipecat's \\`AudioBufferProcessor\\` makes it easy to capture high-quality audio recordings of both the user and bot during interactions.",
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    "url": "https://docs.pipecat.ai/pipecat/fundamentals/saving-transcripts.md",
    "excerpt": "Pipecat's turn events make it easy to collect both user and assistant messages as they occur.",
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    "url": "https://docs.pipecat.ai/pipecat/fundamentals/metrics.md",
    "excerpt": "Pipecat offers built-in metrics for both, which can be enabled with straightforward configuration options.",
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    "url": "https://docs.pipecat.ai/pipecat/flows/functions.md",
    "excerpt": "Functions in Pipecat Flows serve two key purposes: 1. Process data ... 2. Progress the conversation by transitioning between nodes",
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    "url": "https://docs.pipecat.ai/pipecat/deployment/running-bots-locally.md",
    "excerpt": "Pipecat ships a built-in development runner (\\`pipecat.runner.run\\`) that handles the server-side glue most bots need during development",
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    "url": "https://docs.pipecat.ai/pipecat/evals/overview.md",
    "excerpt": "Pipecat Evals is the framework's built-in system for testing agent behavior. You describe a conversation and the behavior you expect, and Pipecat runs it against your real agent",
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    "url": "https://docs.pipecat.ai/pipecat-cloud/guides/smart-turn.md",
    "excerpt": "Smart Turn Detection uses an advanced machine learning model to determine when a user has finished speaking and your bot should respond.",
    "fetchedAt": "2026-09-05T01:21:16.824Z"
  },
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    "url": "https://docs.pipecat.ai/overview/clients.md",
    "excerpt": "Pipecat Clients are a family of SDKs that connect users to your Pipecat agents through web and mobile applications.",
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    "id": "pipecat-docs-11",
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    "url": "https://docs.pipecat.ai/api-reference/cli/context-hub.md",
    "excerpt": "pipecat context-hub install registers the hub as an MCP server with your coding agent and builds the local index",
    "fetchedAt": "2026-09-05T01:21:16.824Z"
  },
  {
    "id": "pipecat-docs-12",
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    "url": "https://www.daily.co/pricing/pipecat-cloud/",
    "excerpt": "Pipecat Cloud supports unlimited concurrency.",
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  },
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    "id": "pipecat-docs-13",
    "tier": "claimed-docs",
    "url": "https://docs.pipecat.ai/pipecat/deployment/telephony-in-production.md",
    "excerpt": "Telephony bots have a different shape than WebRTC bots. The session doesn't start because a client sent your dispatcher an HTTP request \u2014 it starts because the carrier ... is calling your webhook",
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    "url": "https://www.pipecat.ai",
    "excerpt": "Swap speech, language, and vision services from any of 200+ integrated providers and services \u2014 usually one line of code.",
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    "url": "https://docs.pipecat.ai/pipecat/fundamentals/stt-latency-tuning.md",
    "excerpt": "Pipecat ships with measured P99 latency values for each supported service so that turn detection can account for this delay automatically.",
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  },
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    "url": "https://docs.pipecat.ai/pipecat/get-started/quickstart.md",
    "excerpt": "Install the Pipecat CLI and scaffold the quickstart project (also writes AGENTS.md + CLAUDE.md)",
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    "url": "https://docs.pipecat.ai/pipecat/get-started/quickstart.md",
    "excerpt": "Build and run your first Pipecat voice AI bot in under 5 minutes: a simple conversational agent you can talk to in a browser.",
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    "url": "https://docs.pipecat.ai/overview/clients.md",
    "excerpt": "Pre-built React components for voice AI interfaces.",
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  },
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    "id": "pipecat-docs-19",
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    "url": "https://docs.pipecat.ai/pipecat/fundamentals/interruptions.md",
    "excerpt": "Interruptions (also called barge-in) let the user talk over the bot. When the user starts speaking while the bot is talking, the bot stops immediately, in-flight work is cancelled",
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    "url": "https://docs.pipecat.ai/pipecat/fundamentals/stt-latency-tuning.md",
    "excerpt": "Time To Final Segment (TTFS) measures how long it takes from the moment a user stops speaking until the STT service delivers the final transcript.",
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  },
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    "excerpt": "Pipecat's AudioBufferProcessor makes it easy to capture high-quality audio recordings of both the user and bot during interactions.",
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    "excerpt": "Functions in Pipecat Flows serve two key purposes: Process data by interfacing with external systems and APIs...Progress the conversation by transitioning between nodes",
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    "url": "https://docs.pipecat.ai/pipecat/deployment/telephony-in-production.md",
    "excerpt": "the carrier (Twilio, Telnyx, Plivo, Exotel, or your SIP provider) is calling your webhook to tell you there's an inbound call",
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    "url": "https://docs.pipecat.ai/pipecat/deployment/running-bots-locally.md",
    "excerpt": "Pipecat ships a built-in development runner (pipecat.runner.run) that handles the server-side glue most bots need during development: creating Daily rooms, accepting WebRTC offers, terminating telephony WebSockets, and serving a prebuilt UI",
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    "url": "https://docs.pipecat.ai/pipecat/evals/overview.md",
    "excerpt": "You describe a conversation and the behavior you expect, and Pipecat runs it against your real agent (the same pipeline, the same services, the same code) and tells you whether the expectation still holds.",
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    "url": "https://www.daily.co/pricing/pipecat-cloud/",
    "excerpt": "Pipecat Cloud offers different agent profiles, to best support your use case and compute needs.",
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    "url": "https://www.pipecat.ai",
    "excerpt": "Coordinate voice, video, text, and images in one pipeline, with frame-level control over every step of the conversation.",
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    "url": "https://www.pipecat.ai",
    "excerpt": "Any Transport: WebRTC, SIP, PSTN",
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  },
  {
    "id": "pipecat-gh-1",
    "tier": "github",
    "url": "https://github.com/pipecat-ai/pipecat",
    "excerpt": "Build a single voice agent or a full multi-agent system where specialists hand off, fan out in parallel, and coordinate over a shared bus, locally or distributed across processes and machines.",
    "fetchedAt": "2026-09-05T01:31:50.237Z"
  },
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    "url": "https://docs.pipecat.ai/pipecat/fundamentals/recording-audio.md",
    "excerpt": "Pipecat's `AudioBufferProcessor` makes it easy to capture high-quality audio recordings of both the user and bot during interactions.",
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    "url": "https://docs.pipecat.ai/pipecat/flows/functions.md",
    "excerpt": "Functions in Pipecat Flows serve two key purposes: 1. Process data by interfacing with external systems and APIs... 2. Progress the conversation by transitioning between nodes",
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    "url": "https://docs.pipecat.ai/pipecat-cloud/guides/smart-turn.md",
    "excerpt": "Smart Turn Detection recognizes natural conversational cues like intonation patterns and linguistic signals for more natural conversations.",
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    "url": "https://docs.pipecat.ai/pipecat/deployment/running-bots-locally.md",
    "excerpt": "This is the property that makes the same bot file portable across the development runner, Pipecat Cloud, and most production self-hosting setups.",
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    "url": "https://docs.pipecat.ai/pipecat/deployment/running-bots-locally.md",
    "excerpt": "Pipecat ships a built-in development runner (`pipecat.runner.run`) that handles the server-side glue most bots need during development: creating Daily rooms, accepting WebRTC offers, terminating telephony WebSockets, and serving a prebuilt UI to talk to your bot.",
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    "url": "https://docs.pipecat.ai/pipecat/get-started/quickstart.md",
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    "url": "https://docs.pipecat.ai/overview/clients.md",
    "excerpt": "Pipecat Clients are a family of SDKs that connect users to your Pipecat agents through web and mobile applications. They handle real-time audio/video transport, session management, and provide messaging and events for building responsive voice AI interfaces.",
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    "url": "https://www.daily.co/pricing/pipecat-cloud/",
    "excerpt": "Eliminates background noise and voices that cause false interruptions, powered by Krisp.",
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    "url": "https://docs.pipecat.ai/pipecat/get-started/quickstart.md",
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    "url": "https://docs.pipecat.ai/api-reference/cli/context-hub.md",
    "excerpt": "pipecat context-hub install` registers the hub as an MCP server with your coding agent and builds the local index",
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    "url": "https://docs.pipecat.ai/pipecat/flows/functions.md",
    "excerpt": "Flows auto-derives the function's metadata \u2014 name, description, parameter properties (with their descriptions), and which parameters are required \u2014 from the function's signature and docstring.",
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    "url": "https://docs.pipecat.ai/pipecat/deployment/telephony-in-production.md",
    "excerpt": "python bot.py -t twilio -x your-name.ngrok.io",
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  },
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    "url": "https://docs.pipecat.ai/pipecat/deployment/running-bots-locally.md",
    "excerpt": "Pipecat ships a built-in development runner (`pipecat.runner.run`) that handles the server-side glue most bots need during development",
    "fetchedAt": "2026-09-05T01:36:58.986Z"
  },
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    "url": "https://docs.pipecat.ai",
    "excerpt": "Open source Python framework for building voice and multimodal AI pipelines. Orchestrate 150+ AI services with ultra-low latency.",
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  },
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    "id": "pipecat-docs-43",
    "tier": "claimed-docs",
    "url": "https://www.pipecat.ai",
    "excerpt": "Hand off to subagents for long-running tools and complex tasks, and use Pipecat Flows when a conversation needs to follow a defined path.",
    "fetchedAt": "2026-09-05T01:36:58.986Z"
  },
  {
    "id": "pipecat-comm-1",
    "tier": "community",
    "url": "https://news.ycombinator.com/item?id=46264158",
    "excerpt": "Local inference is already supported via Pipecat, you can use ollama or any custom OpenAI endpoint. Local STT is also supported via whisper, which pipecat will download and manage for you.",
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  },
  {
    "id": "pipecat-comm-2",
    "tier": "community",
    "url": "https://news.ycombinator.com/item?id=46264158",
    "excerpt": "Yes, Pipecat already supports that natively, so this can be done easily with ollama... Also, check out any provider they support, and it can be easily onboarded in a few lines of code.",
    "fetchedAt": "2026-09-05T01:38:19.341Z"
  },
  {
    "id": "pipecat-comm-3",
    "tier": "community",
    "url": "https://news.ycombinator.com/item?id=45017314",
    "excerpt": "As someone who spends a lot of time looking at timestamped log lines to debug Pipecat pipelines, I'm a big fan of this work... For 1 and 3 [latency, data format issues], Whisker is a big step forward.",
    "fetchedAt": "2026-09-05T01:38:19.341Z"
  },
  {
    "id": "pipecat-comm-4",
    "tier": "community",
    "url": "https://news.ycombinator.com/item?id=45017314",
    "excerpt": "With Whisker you can: View a live graph of your pipeline, watch frame processors flash in real time, select a processor to inspect its frames, filter frames by name, select a frame to trace its full path (debugger for Pipecat).",
    "fetchedAt": "2026-09-05T01:38:19.341Z"
  },
  {
    "id": "pipecat-comm-5",
    "tier": "community",
    "url": "https://news.ycombinator.com/item?id=45017314",
    "excerpt": "I had been thinking of working on something like this recently as a way to debug Pipecat pipelines. But the work Aleix has done goes far beyond what I was thinking!",
    "fetchedAt": "2026-09-05T01:38:19.341Z"
  },
  {
    "id": "pipecat-comm-6",
    "tier": "community",
    "url": "https://news.ycombinator.com/item?id=49047201",
    "excerpt": "I got tired of running Python servers for voice agents, so I started porting Pipecat over. The design is Pipecat's, frames and processors and all, I just wanted it as one binary with real concurrency instead of a GIL.",
    "fetchedAt": "2026-09-05T01:38:19.341Z"
  },
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    "tier": "probe",
    "url": "https://docs.pipecat.ai/llms.txt",
    "excerpt": "PROBE llms.txt: HTTP 200 at https://docs.pipecat.ai/llms.txt # Pipecat\n\n> Pipecat is an open source ecosystem for building voice and multimodal AI\n> agents. Build with the Python fr",
    "fetchedAt": "2026-09-05T01:42:32.085Z"
  },
  {
    "id": "pipecat-probe-2",
    "tier": "probe",
    "url": "https://docs.pipecat.ai/openapi.json",
    "excerpt": "PROBE openapi: all candidate paths 404 (https://docs.pipecat.ai/openapi.json, https://docs.pipecat.ai/swagger.json, https://docs.pipecat.ai/api/openapi.json, https://docs.pipecat.ai/.well-known/openapi.json)",
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    "excerpt": "official CLI documented at https://docs.pipecat.ai/api-reference/cli/overview",
    "fetchedAt": "2026-09-05T01:42:32.085Z"
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    "id": "pipecat-probe-rt-1",
    "tier": "probe",
    "url": "https://docs.pipecat.ai/api-reference/cli/overview.md",
    "excerpt": "PROBE runtime (recorded 2026-09-05): the official Pipecat CLI (pypi pipecat-ai[cli]) ran keylessly via uvx \u2014 `pipecat --help` lists init (project scaffolding), cloud (deploy to Pipecat Cloud), eval (behavioral evals), and context-hub (local docs/examples/API index built for coding agents).",
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  },
  {
    "id": "pipecat-probe-rt-2",
    "tier": "probe",
    "url": "https://docs.pipecat.ai/pipecat/get-started/quickstart.md",
    "excerpt": "PROBE runtime (recorded 2026-09-05): pypi pipecat-ai 1.8.1 (BSD-2 OSS) installs and `import pipecat` succeeds with no key, printing its startup banner \u2014 the open-source voice-agent framework is real, pip-installable, and self-hostable.",
    "fetchedAt": "2026-09-05T01:44:36.000Z"
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]
