[
  {
    "id": "wandb-weave-docs-1",
    "tier": "claimed-docs",
    "url": "https://docs.wandb.ai/weave",
    "excerpt": "Manually instrument your application’s LLM calls and arbitrary functions to trace, version, and collect feedback about your application",
    "fetchedAt": "2026-09-03T23:57:15.679Z"
  },
  {
    "id": "wandb-weave-docs-2",
    "tier": "claimed-docs",
    "url": "https://docs.wandb.ai/weave",
    "excerpt": "Evaluate your agent’s or application’s responses using LLM judges and custom scorers",
    "fetchedAt": "2026-09-03T23:57:15.679Z"
  },
  {
    "id": "wandb-weave-docs-3",
    "tier": "claimed-docs",
    "url": "https://docs.wandb.ai/weave",
    "excerpt": "Trace and collect metrics about your agents built with popular SDKs and harnesses using Weave OTel-compatible SDK",
    "fetchedAt": "2026-09-03T23:57:15.679Z"
  },
  {
    "id": "wandb-weave-docs-4",
    "tier": "claimed-docs",
    "url": "https://docs.wandb.ai/weave/guides/tracking/tracing",
    "excerpt": "When you decorate a function with `@weave.op()` (Python) or wrap it with `weave.op()` (TypeScript), Weave automatically captures its code, inputs, outputs, and execution metadata.",
    "fetchedAt": "2026-09-03T23:57:15.679Z"
  },
  {
    "id": "wandb-weave-docs-5",
    "tier": "claimed-docs",
    "url": "https://docs.wandb.ai/weave/guides/tracking/tracing",
    "excerpt": "Threads are collections of Traces related to a single session or conversation. You can use Threads to analyze or score the entire conversation instead of individual Calls.",
    "fetchedAt": "2026-09-03T23:57:15.679Z"
  },
  {
    "id": "wandb-weave-docs-6",
    "tier": "claimed-docs",
    "url": "https://docs.wandb.ai/weave/guides/core-types/evaluations",
    "excerpt": "the core of the workflow is the _`Evaluation` object_, which defines: A `Dataset` or list of dictionaries for test examples. One or more scoring functions.",
    "fetchedAt": "2026-09-03T23:57:15.679Z"
  },
  {
    "id": "wandb-weave-docs-7",
    "tier": "claimed-docs",
    "url": "https://docs.wandb.ai/weave/guides/evaluation/scorers",
    "excerpt": "Custom Scorers let you encode evaluation criteria that are specific to your use case, beyond what the built-in Scorers cover.",
    "fetchedAt": "2026-09-03T23:57:15.679Z"
  },
  {
    "id": "wandb-weave-docs-8",
    "tier": "claimed-docs",
    "url": "https://docs.wandb.ai/weave/guides/evaluation/scorers",
    "excerpt": "Weave comes with predefined scorers and local SLM scorers that you can use right away, including: Hallucination detection, Summarization quality, Embedding similarity",
    "fetchedAt": "2026-09-03T23:57:15.679Z"
  },
  {
    "id": "wandb-weave-docs-9",
    "tier": "claimed-docs",
    "url": "https://docs.wandb.ai/weave/guides/tools/playground",
    "excerpt": "With features like prompt editing, message retrying, and model comparison, Playground helps you test and improve your LLM applications.",
    "fetchedAt": "2026-09-03T23:57:15.679Z"
  },
  {
    "id": "wandb-weave-docs-10",
    "tier": "claimed-docs",
    "url": "https://docs.wandb.ai/weave/guides/tools/playground",
    "excerpt": "Custom runtimes: Test OpenAI-compatible API endpoints for custom models.",
    "fetchedAt": "2026-09-03T23:57:15.679Z"
  },
  {
    "id": "wandb-weave-docs-11",
    "tier": "claimed-docs",
    "url": "https://docs.wandb.ai/weave/guides/tools/playground",
    "excerpt": "Saved models: Create and configure a reusable model preset for your workflow.",
    "fetchedAt": "2026-09-03T23:57:15.679Z"
  },
  {
    "id": "wandb-weave-docs-12",
    "tier": "claimed-docs",
    "url": "https://docs.wandb.ai/weave/guides/tracking/costs",
    "excerpt": "Automatic cost tracking: For supported integrations, Weave captures token usage from the API response and applies built-in pricing for the model, with no extra code required.",
    "fetchedAt": "2026-09-03T23:57:15.679Z"
  },
  {
    "id": "wandb-weave-docs-13",
    "tier": "claimed-docs",
    "url": "https://docs.wandb.ai/weave/guides/tracking/costs",
    "excerpt": "Add a custom cost with the `add_cost` method. The three required fields are `llm_id`, `prompt_token_cost`, and `completion_token_cost`.",
    "fetchedAt": "2026-09-03T23:57:15.679Z"
  },
  {
    "id": "wandb-weave-docs-14",
    "tier": "claimed-docs",
    "url": "https://docs.wandb.ai/weave/guides/tracking/otel",
    "excerpt": "Weave supports import of OpenTelemetry compatible trace data through a dedicated endpoint.",
    "fetchedAt": "2026-09-03T23:57:15.679Z"
  },
  {
    "id": "wandb-weave-docs-15",
    "tier": "claimed-docs",
    "url": "https://docs.wandb.ai/weave/reference/service-api",
    "excerpt": "Use the Weave Service API, which provides REST endpoints for programmatic access to Weave functionality.",
    "fetchedAt": "2026-09-03T23:57:15.679Z"
  },
  {
    "id": "wandb-weave-docs-16",
    "tier": "claimed-docs",
    "url": "https://wandb.ai/site/weave/",
    "excerpt": "Built-in and custom signals automatically capture and classify agent interactions, so you always know how your agents are behaving.",
    "fetchedAt": "2026-09-03T23:57:15.679Z"
  },
  {
    "id": "wandb-weave-docs-17",
    "tier": "claimed-docs",
    "url": "https://wandb.ai/site/weave/",
    "excerpt": "Alerts route what matters through Slack notifications and trigger webhook automations, turning every production insight into a fast iteration.",
    "fetchedAt": "2026-09-03T23:57:15.679Z"
  },
  {
    "id": "wandb-weave-docs-18",
    "tier": "claimed-docs",
    "url": "https://wandb.ai/site/weave/",
    "excerpt": "Weave now brings sessions, turns, steps, tools, and sub-agents as first-class concepts, making it much easier to navigate an agent session the way the agent actually executed it.",
    "fetchedAt": "2026-09-03T23:57:15.679Z"
  },
  {
    "id": "wandb-weave-docs-19",
    "tier": "claimed-docs",
    "url": "https://wandb.ai/site/weave/",
    "excerpt": "Measure every improvement to your harnesses and models with confidence with a flexible imperative evaluation API. Weave provides powerful evaluation comparisons and visualizations to catch regressions before they reach users",
    "fetchedAt": "2026-09-03T23:57:15.679Z"
  },
  {
    "id": "wandb-weave-docs-20",
    "tier": "claimed-docs",
    "url": "https://wandb.ai/site/weave/",
    "excerpt": "Using W&B skills and the MCP server, coding agents like Claude Code connect to Weave. They can read live production data, run evaluations, and execute automatic iteration loops on their own",
    "fetchedAt": "2026-09-03T23:57:15.679Z"
  },
  {
    "id": "wandb-weave-docs-21",
    "tier": "claimed-docs",
    "url": "https://wandb.ai/site/weave/",
    "excerpt": "You can test new LLMs and custom models against production traces, assessing their performance for your specific use cases.",
    "fetchedAt": "2026-09-03T23:57:15.679Z"
  },
  {
    "id": "wandb-weave-docs-22",
    "tier": "claimed-docs",
    "url": "https://wandb.ai/site/weave/",
    "excerpt": "Weave Guardrails offers pre-built scorers for safety and quality to support responsible AI. Safety scorers include toxicity, bias, PII detection, and hallucinations",
    "fetchedAt": "2026-09-03T23:57:15.679Z"
  },
  {
    "id": "wandb-weave-docs-23",
    "tier": "claimed-docs",
    "url": "https://wandb.ai/site/weave/",
    "excerpt": "Aggregate evaluations into leaderboards featuring the best performers and share them across your organization.",
    "fetchedAt": "2026-09-03T23:57:15.679Z"
  },
  {
    "id": "wandb-weave-gh-1",
    "tier": "github",
    "url": "https://github.com/wandb/weave",
    "excerpt": "You can trace any function using `weave.op` - from api calls to OpenAI, Anthropic, Google AI Studio etc to generation calls from Hugging Face and other open source models to any other validation functions or data transformations",
    "fetchedAt": "2026-09-03T23:57:15.679Z"
  },
  {
    "id": "wandb-weave-docs-24",
    "tier": "claimed-docs",
    "url": "https://docs.wandb.ai/weave/guides/tracking/tracing",
    "excerpt": "You can use Threads to analyze or score the entire conversation instead of individual Calls.",
    "fetchedAt": "2026-09-03T23:59:16.849Z"
  },
  {
    "id": "wandb-weave-docs-25",
    "tier": "claimed-docs",
    "url": "https://docs.wandb.ai/weave/guides/core-types/evaluations",
    "excerpt": "The core of the workflow is the _`Evaluation` object_, which defines: A `Dataset` or list of dictionaries for test examples.",
    "fetchedAt": "2026-09-03T23:59:16.849Z"
  },
  {
    "id": "wandb-weave-docs-26",
    "tier": "claimed-docs",
    "url": "https://docs.wandb.ai/weave/guides/evaluation/scorers",
    "excerpt": "Weave comes with predefined scorers and local SLM scorers that you can use right away, including: Hallucination detection",
    "fetchedAt": "2026-09-03T23:59:16.849Z"
  },
  {
    "id": "wandb-weave-docs-27",
    "tier": "claimed-docs",
    "url": "https://docs.wandb.ai/weave/guides/tracking/costs",
    "excerpt": "Weave automatically records token usage and calculates cost for each call. Costs appear in the trace tree and in the calls table in the Weave UI.",
    "fetchedAt": "2026-09-03T23:59:16.849Z"
  },
  {
    "id": "wandb-weave-docs-28",
    "tier": "claimed-docs",
    "url": "https://wandb.ai/site/weave/",
    "excerpt": "Built-in and custom signals automatically capture and classify agent interactions... Alerts route what matters through Slack notifications and trigger webhook automations",
    "fetchedAt": "2026-09-03T23:59:16.849Z"
  },
  {
    "id": "wandb-weave-docs-29",
    "tier": "claimed-docs",
    "url": "https://wandb.ai/site/weave/",
    "excerpt": "Weave organizes traces into sessions and turns from the ground up.",
    "fetchedAt": "2026-09-03T23:59:16.849Z"
  },
  {
    "id": "wandb-weave-gh-2",
    "tier": "github",
    "url": "https://github.com/wandb/weave",
    "excerpt": "Decorate all the functions you want to trace, this will generate a trace tree of the inputs and outputs of all your functions",
    "fetchedAt": "2026-09-03T23:59:16.849Z"
  },
  {
    "id": "wandb-weave-docs-30",
    "tier": "claimed-docs",
    "url": "https://docs.wandb.ai/weave/guides/tracking/tracing",
    "excerpt": "When you decorate a function with @weave.op() (Python) or wrap it with weave.op() (TypeScript), Weave automatically captures its code, inputs, outputs, and execution metadata.",
    "fetchedAt": "2026-09-04T00:01:31.819Z"
  },
  {
    "id": "wandb-weave-docs-31",
    "tier": "claimed-docs",
    "url": "https://docs.wandb.ai/weave/guides/core-types/evaluations",
    "excerpt": "This guide shows you how to set up and run evaluations in Weave so you can measure your LLM application’s performance against repeatable test cases, compare changes over time, and identify regressions.",
    "fetchedAt": "2026-09-04T00:01:31.819Z"
  },
  {
    "id": "wandb-weave-docs-32",
    "tier": "claimed-docs",
    "url": "https://docs.wandb.ai/weave/guides/evaluation/scorers",
    "excerpt": "Weave comes with predefined scorers and local SLM scorers that you can use right away, including: Hallucination detection ... Summarization quality ... Embedding similarity",
    "fetchedAt": "2026-09-04T00:01:31.819Z"
  },
  {
    "id": "wandb-weave-docs-33",
    "tier": "claimed-docs",
    "url": "https://docs.wandb.ai/weave/guides/tracking/costs",
    "excerpt": "When you call weave.init() and use a supported LLM integration such as OpenAI, Anthropic, Cohere, or Mistral, Weave automatically records token usage and calculates cost for each call.",
    "fetchedAt": "2026-09-04T00:01:31.819Z"
  },
  {
    "id": "wandb-weave-docs-34",
    "tier": "claimed-docs",
    "url": "https://docs.wandb.ai/weave/guides/tracking/costs",
    "excerpt": "Use custom cost tracking when automatic cost tracking isn’t available, such as with fine-tuned models, self-hosted models, or providers that Weave doesn’t integrate with.",
    "fetchedAt": "2026-09-04T00:01:31.819Z"
  },
  {
    "id": "wandb-weave-docs-35",
    "tier": "claimed-docs",
    "url": "https://docs.wandb.ai/weave/guides/tracking/otel",
    "excerpt": "Use this integration when you want to instrument your application with the OpenTelemetry standard and have those traces appear alongside your other Weave data, without replacing your existing OTel-based observability pipeline.",
    "fetchedAt": "2026-09-04T00:01:31.819Z"
  },
  {
    "id": "wandb-weave-gh-3",
    "tier": "github",
    "url": "https://github.com/wandb/weave",
    "excerpt": "Log and debug language model inputs, outputs, and traces",
    "fetchedAt": "2026-09-04T00:01:31.819Z"
  },
  {
    "id": "wandb-weave-gh-4",
    "tier": "github",
    "url": "https://github.com/wandb/weave",
    "excerpt": "Build rigorous, apples-to-apples evaluations for language model use cases",
    "fetchedAt": "2026-09-04T00:01:31.819Z"
  },
  {
    "id": "wandb-weave-docs-36",
    "tier": "claimed-docs",
    "url": "https://wandb.ai/site/weave/",
    "excerpt": "Built-in and custom signals automatically capture and classify agent interactions, so you always know how your agents are behaving. Alerts route what matters through Slack notifications and trigger webhook automations",
    "fetchedAt": "2026-09-04T00:01:31.819Z"
  },
  {
    "id": "wandb-weave-docs-37",
    "tier": "claimed-docs",
    "url": "https://wandb.ai/site/weave/",
    "excerpt": "Weave organizes traces into sessions and turns from the ground up. That structure, paired with native analytics tools, makes it easy to trace behavior across multi-agent systems",
    "fetchedAt": "2026-09-04T00:01:31.819Z"
  },
  {
    "id": "wandb-weave-probe-1",
    "tier": "probe",
    "url": "https://docs.wandb.ai/llms.txt",
    "excerpt": "PROBE llms.txt: HTTP 200 at https://docs.wandb.ai/llms.txt # Weights & Biases Documentation\n\n- [Products (407 pages)](https://docs.wandb.ai/_llms/en/products.md): Documentation fo",
    "fetchedAt": "2026-09-04T00:03:40.969Z"
  },
  {
    "id": "wandb-weave-probe-2",
    "tier": "probe",
    "url": "https://docs.wandb.ai/weave.md",
    "excerpt": "PROBE docs-md: HTTP 200 at https://docs.wandb.ai/weave.md > ## Documentation Index\n> Fetch the complete documentation index at: https://docs.wandb.ai/llms.txt\n> Use this file to",
    "fetchedAt": "2026-09-04T00:03:40.969Z"
  },
  {
    "id": "wandb-weave-probe-3",
    "tier": "probe",
    "url": "https://docs.wandb.ai/openapi.json",
    "excerpt": "PROBE openapi: HTTP 200 at https://docs.wandb.ai/openapi.json — contains \"openapi\" key",
    "fetchedAt": "2026-09-04T00:03:40.969Z"
  },
  {
    "id": "wandb-weave-probe-4",
    "tier": "probe",
    "url": "https://github.com/wandb/wandb-mcp-server",
    "excerpt": "official MCP server documented at https://github.com/wandb/wandb-mcp-server",
    "fetchedAt": "2026-09-04T00:03:40.969Z"
  },
  {
    "id": "wandb-weave-probe-5",
    "tier": "probe",
    "url": "https://docs.wandb.ai/models/ref/cli",
    "excerpt": "official CLI documented at https://docs.wandb.ai/models/ref/cli",
    "fetchedAt": "2026-09-04T00:03:40.969Z"
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]