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fix broken links (#1566)
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src/langsmith/cost-tracking.mdx

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@@ -102,7 +102,7 @@ The approach you use will depend on on what you're tracking and how your model p
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| Method | Run type: LLM | Run type: Other |
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|--------|---------------|-----------------|
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| **Automatically** | <ul><li>Calling LLMs with [LangChain](/oss/python/langchain/overview)</li><li>Tracing LLM calls to OpenAI, Anthropic or models that follow an OpenAI-compliant format with `@traceable`</li><li> Using LangSmith wrappers for [OpenAI](/langsmith/trace-openai) or [Anthropic](/langsmith/trace-anthropic)</li><li>For other model providers, read the [token and cost information guide](/langsmith/log-llm-trace#provide-token-and-cost-information)</li></ul> | Not applicable. |
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| **Automatically** | <ul><li>Calling LLMs with [LangChain](/oss/langchain/overview)</li><li>Tracing LLM calls to OpenAI, Anthropic or models that follow an OpenAI-compliant format with `@traceable`</li><li> Using LangSmith wrappers for [OpenAI](/langsmith/trace-openai) or [Anthropic](/langsmith/trace-anthropic)</li><li>For other model providers, read the [token and cost information guide](/langsmith/log-llm-trace#provide-token-and-cost-information)</li></ul> | Not applicable. |
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| **Manually** | If LLM call costs are non-linear (eg. follow a custom cost function) | Send costs for any run types, e.g. tool calls, retrieval steps |
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Follow the instructions below if you’re using model providers whose responses don’t follow the same patterns as one of OpenAI or Anthropic.
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These steps are **only required** if you are *not*:
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- Calling LLMs with [LangChain](/oss/python/langchain/overview)
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- Calling LLMs with [LangChain](/oss/langchain/overview)
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- Using `@traceable` to trace LLM calls to OpenAI, Anthropic or models that follow an OpenAI-compliant format
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- Using LangSmith wrappers for [OpenAI](/langsmith/trace-openai) or [Anthropic](/langsmith/trace-anthropic).
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</Note>
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/>
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<img
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className="hidden dark:block"
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src="/langsmith/images/new-price-map-entry-dark.png"
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src="/langsmith/images/new-price-map-entry.png"
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alt="New price map entry interface"
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/>
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src/oss/javascript/integrations/providers/all_providers.mdx

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<Card
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title="Google Generative AI"
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href="/oss/integrations/text_embedding/google_generativeai"
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href="/oss/integrations/text_embedding/google_generative_ai"
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icon="google"
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>
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Google's embedding models for text representation.
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<Card
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title="Gmail"
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href="/oss/integrations/tools/gmail"
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href="/oss/integrations/tools/google_gmail"
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icon="google"
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>
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Read and send emails through Gmail API.

src/oss/javascript/integrations/text_embedding/index.mdx

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<Card
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title="Google Generative AI"
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icon="link"
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href="/oss/integrations/text_embedding/google_generativeai"
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href="/oss/integrations/text_embedding/google_generative_ai"
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arrow="true"
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cta="View guide"
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/>

src/oss/javascript/integrations/tools/index.mdx

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<Card
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title="Gmail Tool"
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icon="link"
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href="/oss/integrations/tools/gmail"
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href="/oss/integrations/tools/google_gmail"
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arrow="true"
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cta="View guide"
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/>

src/oss/python/integrations/chat/groq.mdx

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<Warning>
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This page makes reference to [Groq](https://console.groq.com/docs/overview), an AI hardware and software company. For information on how to use Grok models (provided by [xAI](https://docs.x.ai/docs/overview)), see the [xAI provider page](/oss/python/integrations/providers/xai).
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This page makes reference to [Groq](https://console.groq.com/docs/overview), an AI hardware and software company. For information on how to use Grok models (provided by [xAI](https://docs.x.ai/docs/overview)), see the [xAI provider page](/oss/integrations/providers/xai).
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</Warning>
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<Tip>

src/oss/python/integrations/chat/xai.mdx

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<Warning>
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This page makes reference to Grok models provided by [xAI](https://docs.x.ai/docs/overview) - not to be confused with [Groq](https://console.groq.com/docs/overview), a separate AI hardware and software company. See the [Groq provider page](/oss/python/integrations/providers/groq).
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This page makes reference to Grok models provided by [xAI](https://docs.x.ai/docs/overview) - not to be confused with [Groq](https://console.groq.com/docs/overview), a separate AI hardware and software company. See the [Groq provider page](/oss/integrations/providers/groq).
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</Warning>
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[xAI](https://console.x.ai/) offers an API to interact with Grok models.

src/oss/python/integrations/providers/google.mdx

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### Vector stores
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<Columns cols={1}>
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<Card title="ScaNN (Local Index)" href="/oss/integrations/vectorstores/scann" cta="Get started" arrow>
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<Card title="ScaNN (Local Index)" href="/oss/integrations/vectorstores/google_scann" cta="Get started" arrow>
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ScaNN is a method for efficient vector similarity search at scale.
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</Card>
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### MCP
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<Card title="MCP Toolbox" href="/oss/integrations/tools/toolbox" cta="Get started" arrow>
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<Card title="MCP Toolbox" href="/oss/integrations/tools/mcp_toolbox" cta="Get started" arrow>
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Simple and efficient way to connect to your databases, including those on Google Cloud like Cloud SQL and AlloyDB
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</Card>
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Collections of tools for specific Google services.
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<Card title="Gmail" icon="envelope" href="/oss/integrations/tools/gmail" cta="Get started" arrow>
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<Card title="Gmail" icon="envelope" href="/oss/integrations/tools/google_gmail" cta="Get started" arrow>
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Toolkit to create, get, search, and send emails using the Gmail API.
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</Card>
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### Chat loaders
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<Card title="Gmail" icon="envelope" href="/oss/integrations/chat_loaders/gmail" cta="Get started" arrow>
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<Card title="Gmail" icon="envelope" href="/oss/integrations/chat_loaders/google_gmail" cta="Get started" arrow>
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Load chat history from Gmail threads.
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</Card>
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src/oss/python/integrations/providers/groq.mdx

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<Warning>
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This page makes reference to [Groq](https://console.groq.com/docs/overview), an AI hardware and software company. For information on how to use Grok models (provided by [xAI](https://docs.x.ai/docs/overview)), see the [xAI provider page](/oss/python/integrations/providers/xai).
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This page makes reference to [Groq](https://console.groq.com/docs/overview), an AI hardware and software company. For information on how to use Grok models (provided by [xAI](https://docs.x.ai/docs/overview)), see the [xAI provider page](/oss/integrations/providers/xai).
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>[Groq](https://groq.com) developed the world's first Language Processing Unit™, or `LPU`.

src/oss/python/integrations/providers/toolbox.mdx

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For a complete, step-by-step guide on how to create, configure, and use MCP Toolbox with your agents, please refer to our detailed Jupyter notebook tutorial.
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**[➡️ View the full tutorial here](/oss/integrations/tools/toolbox)**.
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**[➡️ View the full tutorial here](/oss/integrations/tools/mcp_toolbox)**.

src/oss/python/integrations/providers/xai.mdx

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<Warning>
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This page makes reference to Grok models provided by [xAI](https://docs.x.ai/docs/overview) - not to be confused with [Groq](https://console.groq.com/docs/overview), a separate AI hardware and software company. See the [Groq provider page](/oss/python/integrations/providers/groq).
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This page makes reference to Grok models provided by [xAI](https://docs.x.ai/docs/overview) - not to be confused with [Groq](https://console.groq.com/docs/overview), a separate AI hardware and software company. See the [Groq provider page](/oss/integrations/providers/groq).
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[xAI](https://console.x.ai) offers an API to interact with Grok models. This example goes over how to use LangChain to interact with xAI models.

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