traceloop · nirga · Apr 9, 2024 · Apr 9, 2024 · Apr 9, 2024
diff --git a/fern/definition/gdpr-privacy.yml b/fern/definition/gdpr-privacy.yml
@@ -22,7 +22,7 @@ service:
       docs: |
         By default, all prompts and responses are logged. 
 
-        If you’ve disabled this behavior by following [this guide](/open-ll-metry/privacy/prompts-completions-and-embeddings), and then selectively enabled it for some of your users, then you can use this API to view which users you’ve enabled.
+        If you’ve disabled this behavior by following [this guide](/docs/openllmetry/privacy/prompts-completions-and-embeddings), and then selectively enabled it for some of your users, then you can use this API to view which users you’ve enabled.
       path: "/data-deletion"
       request:
         name: GetDeletionStatusRequest

diff --git a/fern/definition/tracing.yml b/fern/definition/tracing.yml
@@ -9,7 +9,7 @@ service:
       docs: |
         By default, all prompts and responses are logged.
 
-        If you want to disable this behavior by following [this guide](/open-ll-metry/privacy/prompts-completions-and-embeddings), you can selectively enable it for some of your users with this API.
+        If you want to disable this behavior by following [this guide](/docs/openllmetry/privacy/prompts-completions-and-embeddings), you can selectively enable it for some of your users with this API.
       path: "/tracing-allow-list"
       method: POST
       request: EnableLogging
@@ -20,7 +20,7 @@ service:
       docs: |
         By default, all prompts and responses are logged. 
 
-        If you’ve disabled this behavior by following [this guide](/open-ll-metry/privacy/prompts-completions-and-embeddings), and then selectively enabled it for some of your users, then you can use this API to view which users you’ve enabled.
+        If you’ve disabled this behavior by following [this guide](/docs/openllmetry/privacy/prompts-completions-and-embeddings), and then selectively enabled it for some of your users, then you can use this API to view which users you’ve enabled.
       path: "/tracing-allow-list"
       method: GET
       response: GetIdentifiersResponse
@@ -32,7 +32,7 @@ service:
       docs: |
         By default, all prompts and responses are logged. 
 
-        If you’ve disabled this behavior by following [this guide](/open-ll-metry/privacy/prompts-completions-and-embeddings), and then selectively enabled it for some of your users, then you can use this API to disable it for previously enabled ones.
+        If you’ve disabled this behavior by following [this guide](/docs/openllmetry/privacy/prompts-completions-and-embeddings), and then selectively enabled it for some of your users, then you can use this API to disable it for previously enabled ones.
       path: "/tracing-allow-list"
       method: DELETE
       request: DisableLogging

diff --git a/fern/docs.yml b/fern/docs.yml
@@ -1,6 +1,6 @@
 instances:
   - url: traceloop.docs.buildwithfern.com/docs
-    custom-domain: traceloop.com/docs
+    custom-domain: fern.traceloop.com/docs
 
 title: Traceloop | Docs
 
@@ -15,7 +15,7 @@ tabs:
   api:
     display-name: Dashboard API
     icon: "fa-duotone fa-webhook"
-
+    slug: dashboard-api
 navigation:
   - tab: docs
     layout: 

diff --git a/fern/pages/documentation/learn/intro.mdx b/fern/pages/documentation/learn/intro.mdx
@@ -19,28 +19,28 @@ Traceloop natively plugs into OpenLLMetry SDK. To get started, pick the language
   <Card
     title="Python"
     icon="fa-brands fa-python"
-    href="/open-ll-metry/quick-start/python"
+    href="/docs/openllmetry/quick-start/python"
   >
     Available
   </Card>
   <Card
     title="Javascript / Typescript"
     icon="fa-brands fa-node"
-    href="/open-ll-metry/quick-start/node-js"
+    href="/docs/openllmetry/quick-start/node-js"
   >
     Available
   </Card>
   <Card
     title="Go"
     icon="fa-brands fa-golang"
-    href="/open-ll-metry/quick-start/go"
+    href="/docs/openllmetry/quick-start/go"
   >
     Beta
   </Card>
   <Card
     title="Ruby"
     icon="fa-regular fa-gem"
-    href="/open-ll-metry/quick-start/ruby"
+    href="/docs/openllmetry/quick-start/ruby"
   >
     Beta
   </Card>

diff --git a/fern/pages/documentation/prompt-management/fetching-prompts.mdx b/fern/pages/documentation/prompt-management/fetching-prompts.mdx
@@ -10,7 +10,7 @@ The default poll interval is 60 seconds but can be configured with the `TRACELOO
 
 To disable polling all together, set the `TRACELOOP_SYNC_ENABLED` environment variable to false (its enabled by default).
 
-Make sure you’ve configured the SDK with the right environment and API Key. See the [SDK documentation](/open-ll-metry/integrations/traceloop) for more information.
+Make sure you’ve configured the SDK with the right environment and API Key. See the [SDK documentation](/docs/openllmetry/integrations/traceloop) for more information.
 
 <Callout intent="info">
 The SDK uses smart caching mechanisms to proide zero latency for fetching prompts.

diff --git a/fern/pages/documentation/prompt-management/prompt-registry.mdx b/fern/pages/documentation/prompt-management/prompt-registry.mdx
@@ -53,7 +53,7 @@ Here, you can see all recent prompt versions, and which environments they are de
 As a safeguard, you cannot deploy a prompt to the `Staging` environment before first deploying it to `Development`. Similarly, you cannot deploy to `Production` without first deploying to `Staging`.
 </Callout>
 
-To fetch prompts from a specific environment, you must supply that environment’s API key to the Traceloop SDK. See the [SDK Configuration](/open-ll-metry/integrations/traceloop) for details
+To fetch prompts from a specific environment, you must supply that environment’s API key to the Traceloop SDK. See the [SDK Configuration](/docs/openllmetry/integrations/traceloop) for details
 
 ## Prompt Versions
 

diff --git a/fern/pages/documentation/prompt-management/quickstart.mdx b/fern/pages/documentation/prompt-management/quickstart.mdx
@@ -1,11 +1,11 @@
-<div align="center">
+<Frame>
 ![prompt-management-quickstart](https://fern-image-hosting.s3.amazonaws.com/traceloop/prompt-management-quickstart.png)
-</div>
+</Frame>
 
 You can use Traceloop to manage your prompts and model configurations. That way you can easily experiment with different prompts, and rollout changes gradually and safely.
 
 <Callout intent="info">
-Make sure you’ve created an API key and set it as an environment variable `TRACELOOP_API_KEY` before you start. Check out the SDK’s [getting started guide](/open-ll-metry/quick-start/python) for more information.
+Make sure you’ve created an API key and set it as an environment variable `TRACELOOP_API_KEY` before you start. Check out the SDK’s [getting started guide](/docs/openllmetry/quick-start/python) for more information.
 </Callout>
 
 <Steps>

diff --git a/fern/pages/openllmetry/integrations/opentelemetry-collector.mdx b/fern/pages/openllmetry/integrations/opentelemetry-collector.mdx
@@ -8,4 +8,4 @@ Since Traceloop is emitting standard OTLP HTTP (standard OpenTelemetry protocol)
 TRACELOOP_BASE_URL=https://<opentelemetry-collector-hostname>:4318
 ```
 
-You can connect your collector to Traceloop by following the instructions in the [Traceloop integration section](/open-ll-metry/integrations/traceloop#using-an-opentelemetry-collector).
+You can connect your collector to Traceloop by following the instructions in the [Traceloop integration section](/docs/openllmetry/integrations/traceloop#using-an-opentelemetry-collector).
diff --git a/fern/pages/openllmetry/integrations/overview.mdx b/fern/pages/openllmetry/integrations/overview.mdx
@@ -7,19 +7,19 @@ Since Traceloop SDK is using OpenTelemetry under the hood, you can see everythin
 ## The Integrations Catalog
 
 <Cards>
-    <Card title="Traceloop" href="/open-ll-metry/integrations/traceloop"/>
-    <Card title="Axiom" href="/open-ll-metry/integrations/axiom"/>
-    <Card title="Azure Application Insights" href="/open-ll-metry/integrations/azure-applications-insights"/>
-    <Card title="Datadog" href="/open-ll-metry/integrations/datadog"/>
-    <Card title="Dynatrace" href="/open-ll-metry/integrations/dynatrace"/>
-    <Card title="Grafana Tempo" href="/open-ll-metry/integrations/grafana"/>
-    <Card title="Honeycomb" href="/open-ll-metry/integrations/honeycomb"/>
-    <Card title="HyperDX" href="/open-ll-metry/integrations/hyper-dx"/>
-    <Card title="Instana" href="/open-ll-metry/integrations/instana"/>
-    <Card title="New Relic" href="/open-ll-metry/integrations/new-relic"/>
-    <Card title="OpenTelemetry Collector" href="/open-ll-metry/integrations/open-telemetry-collector"/>
-    <Card title="Service Now Cloud Observability" href="/open-ll-metry/integrations/service-now-cloud-observability"/>
-    <Card title="Sentry" href="/open-ll-metry/integrations/sentry"/>
-    <Card title="SigNoz" href="/open-ll-metry/integrations/sig-noz"/>
-    <Card title="Splunk" href="/open-ll-metry/integrations/splunk"/>
+    <Card title="Traceloop" href="/docs/openllmetry/integrations/traceloop"/>
+    <Card title="Axiom" href="/docs/openllmetry/integrations/axiom"/>
+    <Card title="Azure Application Insights" href="/docs/openllmetry/integrations/azure-applications-insights"/>
+    <Card title="Datadog" href="/docs/openllmetry/integrations/datadog"/>
+    <Card title="Dynatrace" href="/docs/openllmetry/integrations/dynatrace"/>
+    <Card title="Grafana Tempo" href="/docs/openllmetry/integrations/grafana"/>
+    <Card title="Honeycomb" href="/docs/openllmetry/integrations/honeycomb"/>
+    <Card title="HyperDX" href="/docs/openllmetry/integrations/hyper-dx"/>
+    <Card title="Instana" href="/docs/openllmetry/integrations/instana"/>
+    <Card title="New Relic" href="/docs/openllmetry/integrations/new-relic"/>
+    <Card title="OpenTelemetry Collector" href="/docs/openllmetry/integrations/open-telemetry-collector"/>
+    <Card title="Service Now Cloud Observability" href="/docs/openllmetry/integrations/service-now-cloud-observability"/>
+    <Card title="Sentry" href="/docs/openllmetry/integrations/sentry"/>
+    <Card title="SigNoz" href="/docs/openllmetry/integrations/sig-noz"/>
+    <Card title="Splunk" href="/docs/openllmetry/integrations/splunk"/>
 </Cards>
diff --git a/fern/pages/openllmetry/integrations/traceloop.mdx b/fern/pages/openllmetry/integrations/traceloop.mdx
@@ -55,6 +55,6 @@ excerpt: LLM Observability with Traceloop
         exporters: [otlp/traceloop]
   ```
 
-  You can route OpenLLMetry to your collector by following the [OpenTelemetry Collector](/open-ll-metry/integrations/open-telemetry-collector) integration instructions.
+  You can route OpenLLMetry to your collector by following the [OpenTelemetry Collector](/docs/openllmetry/integrations/open-telemetry-collector) integration instructions.
   </Tab>
 </Tabs>
diff --git a/fern/pages/openllmetry/intro/what-is-llmetry.mdx b/fern/pages/openllmetry/intro/what-is-llmetry.mdx
@@ -53,22 +53,22 @@ You can use OpenLLMetry whether you use a framework like LangChain, or directly
 ## Getting Started
 
 <Cards>
-    <Card title="Start with Python" icon="fa-brands fa-python" href="/open-ll-metry/quick-start/python">
+    <Card title="Start with Python" icon="fa-brands fa-python" href="/docs/openllmetry/quick-start/python">
     Set up Traceloop Python SDK in your project
     </Card>
-    <Card title="Start with Javascript / Typescript" icon="fa-brands fa-node" href="/open-ll-metry/quick-start/node-js">
+    <Card title="Start with Javascript / Typescript" icon="fa-brands fa-node" href="/docs/openllmetry/quick-start/node-js">
     Set up Traceloop Javascript SDK in your project
     </Card>
-    <Card title="Start with Go" icon="fa-brands fa-golang" href="/open-ll-metry/quick-start/go">
+    <Card title="Start with Go" icon="fa-brands fa-golang" href="/docs/openllmetry/quick-start/go">
     Set up Traceloop Go SDK in your project
     </Card>
-    <Card title="Workflows, Agents, and Tools" icon="fa-regular fa-code" href="/open-ll-metry/tracing/workflows-tasks-agents-and-tools">
+    <Card title="Workflows, Agents, and Tools" icon="fa-regular fa-code" href="/docs/openllmetry/tracing/workflows-tasks-agents-and-tools">
     Learn how to annotate your code to enrich your traces
     </Card>
-    <Card title="Integrations" icon="fa-regular fa-bars-staggered" href="/open-ll-metry/integrations/overview">
+    <Card title="Integrations" icon="fa-regular fa-bars-staggered" href="/docs/openllmetry/integrations/overview">
     Learn how to connect to your existing observability stack
     </Card>
-    <Card title="Privacy" icon="fa-regular fa-shield" href="/open-ll-metry/privacy/prompts-completions-and-embeddings">
+    <Card title="Privacy" icon="fa-regular fa-shield" href="/docs/openllmetry/privacy/prompts-completions-and-embeddings">
     How we secure your data
     </Card>
 </Cards>

diff --git a/fern/pages/openllmetry/privacy/prompts-completions-embeddings.mdx b/fern/pages/openllmetry/privacy/prompts-completions-embeddings.mdx
@@ -56,7 +56,7 @@ You can decide to selectively enable or disable prompt logging for specific user
 
 <Tabs>
     <Tab title="Using the Traceloop Platform">
-    We have an API to enable content tracing for specific users, as defined by [association entities](/open-ll-metry/tracing/associating-entities-with-traces). See the [Traceloop API documentation](/dashboard-api/endpoints) for more information.
+    We have an API to enable content tracing for specific users, as defined by [association entities](/docs/openllmetry/tracing/associating-entities-with-traces). See the [Traceloop API documentation](/docs/dashboard-api/endpoints) for more information.
     </Tab>
     <Tab title="Without the Traceloop Platform">
     Set a key called `override_enable_content_tracing` in the OpenTelemetry context to `True` right before making the LLM call you want to trace with prompts. This will create a new context that will instruct instrumentations to log prompts and completions as span attributes.

diff --git a/fern/pages/openllmetry/quickstart/go.mdx b/fern/pages/openllmetry/quickstart/go.mdx
@@ -99,7 +99,7 @@ func call_llm() {
 
 Lastly, you’ll need to configure where to export your traces. The 2 environment variables controlling this are `TRACELOOP_API_KEY` and `TRACELOOP_BASE_URL`.
 
-For Traceloop, read on. For other options, see [Exporting](/open-ll-metry/integrations/overview).
+For Traceloop, read on. For other options, see [Exporting](/docs/openllmetry/integrations/overview).
 
 ### Using Traceloop Cloud
 

diff --git a/fern/pages/openllmetry/quickstart/next.mdx b/fern/pages/openllmetry/quickstart/next.mdx
@@ -158,7 +158,7 @@ You can check out our full working example with Next.js 13 [here](https://github
 
   f you have complex workflows or chains, you can annotate them to get a better understanding of what’s going on. You’ll see the complete trace of your workflow on Traceloop or any other dashboard you’re using.
 
-  We have a set of [methods and decorators](/open-ll-metry/tracing/workflows-tasks-agents-and-tools) to make this easier. Assume you have a function that renders a prompt and calls an LLM, simply wrap it in a `withWorkflow()` function call.
+  We have a set of [methods and decorators](/docs/openllmetry/tracing/workflows-tasks-agents-and-tools) to make this easier. Assume you have a function that renders a prompt and calls an LLM, simply wrap it in a `withWorkflow()` function call.
 
   We also have compatible Typescript decorators for class methods which are more convenient.
 
@@ -188,13 +188,13 @@ You can check out our full working example with Next.js 13 [here](https://github
       </CodeBlock>
   </CodeBlocks>
 
-  For more information, see the [dedicated section in the docs](/open-ll-metry/tracing/workflows-tasks-agents-and-tools).
+  For more information, see the [dedicated section in the docs](/docs/openllmetry/tracing/workflows-tasks-agents-and-tools).
 
   ### Configure Trace Exporting
 
   Lastly, you’ll need to configure where to export your traces. The 2 environment variables controlling this are `TRACELOOP_API_KEY` and `TRACELOOP_BASE_URL`.
 
-  For Traceloop, read on. For other options, see [Exporting](/open-ll-metry/integrations/overview).
+  For Traceloop, read on. For other options, see [Exporting](/docs/openllmetry/integrations/overview).
 
   ### Using Traceloop Cloud
 

diff --git a/fern/pages/openllmetry/quickstart/node.mdx b/fern/pages/openllmetry/quickstart/node.mdx
@@ -54,7 +54,7 @@ traceloop.initialize({ disableBatch: true });
 
 If you have complex workflows or chains, you can annotate them to get a better understanding of what’s going on. You’ll see the complete trace of your workflow on Traceloop or any other dashboard you’re using.
 
-We have a set of [methods and decorators](/open-ll-metry/tracing/workflows-tasks-agents-and-tools) to make this easier. Assume you have a function that renders a prompt and calls an LLM, simply wrap it in a `withWorkflow()` function call.
+We have a set of [methods and decorators](/docs/openllmetry/tracing/workflows-tasks-agents-and-tools) to make this easier. Assume you have a function that renders a prompt and calls an LLM, simply wrap it in a `withWorkflow()` function call.
 
 We also have compatible Typescript decorators for class methods which are more convenient.
 
@@ -84,13 +84,13 @@ If you’re using an LLM framework like Haystack, Langchain or LlamaIndex - we
     </CodeBlock>
 </CodeBlocks>
 
-For more information, see the [dedicated section in the docs](/open-ll-metry/tracing/workflows-tasks-agents-and-tools).
+For more information, see the [dedicated section in the docs](/docs/openllmetry/tracing/workflows-tasks-agents-and-tools).
 
 ### Configure Trace Exporting
 
 Lastly, you’ll need to configure where to export your traces. The 2 environment variables controlling this are `TRACELOOP_API_KEY` and `TRACELOOP_BASE_URL`.
 
-For Traceloop, read on. For other options, see [Exporting](/open-ll-metry/integrations/overview).
+For Traceloop, read on. For other options, see [Exporting](/docs/openllmetry/integrations/overview).
 
 ### Using Traceloop Cloud
 

diff --git a/fern/pages/openllmetry/quickstart/python.mdx b/fern/pages/openllmetry/quickstart/python.mdx
@@ -45,7 +45,7 @@ Traceloop.init(disable_batch=True)
 
 If you have complex workflows or chains, you can annotate them to get a better understanding of what’s going on. You’ll see the complete trace of your workflow on Traceloop or any other dashboard you’re using.
 
-We have a set of [decorators](/open-ll-metry/tracing/workflows-tasks-agents-and-tools) to make this easier. Assume you have a function that renders a prompt and calls an LLM, simply add `@workflow` (or for asynchronous methods - `@aworkflow`).
+We have a set of [decorators](/docs/openllmetry/tracing/workflows-tasks-agents-and-tools) to make this easier. Assume you have a function that renders a prompt and calls an LLM, simply add `@workflow` (or for asynchronous methods - `@aworkflow`).
 
 <Callout intent="info">
 If you’re using an LLM framework like Haystack, Langchain or LlamaIndex - we’ll do that for you. No need to add any annotations to your code.
@@ -60,13 +60,13 @@ def suggest_answers(question: str):
 ...
 ```
 
-For more information, see the [dedicated section in the docs](/open-ll-metry/tracing/workflows-tasks-agents-and-tools).
+For more information, see the [dedicated section in the docs](/docs/openllmetry/tracing/workflows-tasks-agents-and-tools).
 
 ### Configure trace exporting
 
 Lastly, you’ll need to configure where to export your traces. The 2 environment variables controlling this are `TRACELOOP_API_KEY` and `TRACELOOP_BASE_URL`.
 
-For Traceloop, read on. For other options, see [Exporting](/open-ll-metry/integrations/overview).
+For Traceloop, read on. For other options, see [Exporting](/docs/openllmetry/integrations/overview).
 
 
 ### Using Traceloop Cloud

diff --git a/fern/pages/openllmetry/quickstart/ruby.mdx b/fern/pages/openllmetry/quickstart/ruby.mdx
@@ -72,7 +72,7 @@ end
 
 Lastly, you’ll need to configure where to export your traces. The 2 environment variables controlling this are `TRACELOOP_API_KEY` and `TRACELOOP_BASE_URL`.
 
-For Traceloop, read on. For other options, see [Exporting](/open-ll-metry/integrations/overview).
+For Traceloop, read on. For other options, see [Exporting](/docs/openllmetry/integrations/overview).
 
 ### Using Traceloop Cloud
 

diff --git a/fern/pages/openllmetry/quickstart/sdk-initialization.mdx b/fern/pages/openllmetry/quickstart/sdk-initialization.mdx
@@ -41,7 +41,7 @@ This defines the OpenTelemetry endpoint to connect to. It defaults to https://ap
 
 If you prefix it with `http` or `https`, it will use the OTLP/HTTP protocol. Otherwise, it will use the OTLP/GRPC protocol.
 
-For configuring this to different observability platform, check out our [integrations section](/open-ll-metry/integrations/overview).
+For configuring this to different observability platform, check out our [integrations section](/docs/openllmetry/integrations/overview).
 
 <Callout intent="info">
 The OpenTelemetry standard defines that the actual endpoint should always end with `/v1/traces`. Thus, if you specify a base URL, we always append `/v1/traces` to it. This is similar to how `OTLP_EXPORTER_OTLP_ENDPOINT` works in all OpenTelemetry SDKs.
@@ -69,7 +69,7 @@ The OpenTelemetry standard defines that the actual endpoint should always end wi
 
 If set, this is sent as a bearer token on the Authorization header.
 
-[Traceloop](/open-ll-metry/integrations/traceloop), for example, use this to authenticate incoming traces and requests.
+[Traceloop](/docs/openllmetry/integrations/traceloop), for example, use this to authenticate incoming traces and requests.
 
 <Callout intent="info">
 If this is not set, and the base URL is set to `https://api.traceloop.com`, the SDK will generate a new API key automatically with the Traceloop dashboard.