diff --git a/docs.json b/docs.json
index 38c0eae58..150e05ce8 100644
--- a/docs.json
+++ b/docs.json
@@ -4102,6 +4102,7 @@
"observability/maxim",
"observability/mlflow",
"observability/openlit",
+ "observability/respan",
"observability/traceloop",
"observability/weave"
]
diff --git a/observability/overview.mdx b/observability/overview.mdx
index 432330673..80b66976a 100644
--- a/observability/overview.mdx
+++ b/observability/overview.mdx
@@ -19,6 +19,6 @@ Agno offers first-class support for OpenTelemetry, the industry standard for dis
- **Custom Tracing**: Extend or customize tracing as needed.
-OpenTelemetry-compatible backends including Arize Phoenix, Langfuse, Langsmith, Langtrace, Logfire, Maxim, MLflow, OpenLIT, Traceloop, and Weave are supported by Agno out of the box.
+OpenTelemetry-compatible backends including Arize Phoenix, Langfuse, Langsmith, Langtrace, Logfire, Maxim, MLflow, OpenLIT, Respan, Traceloop, and Weave are supported by Agno out of the box.
diff --git a/observability/respan.mdx b/observability/respan.mdx
new file mode 100644
index 000000000..369f2ff2d
--- /dev/null
+++ b/observability/respan.mdx
@@ -0,0 +1,67 @@
+---
+title: Respan
+description: Integrate Agno with Respan to trace agent workflows and monitor performance.
+---
+
+## Integrating Agno with Respan
+
+[Respan](https://respan.ai) is an observability platform for tracing and monitoring AI agents. The `respan-exporter-agno` package captures Agno's OpenInference trace data and sends it to Respan.
+
+## Prerequisites
+
+1. **Install Dependencies**
+
+ ```bash
+ uv pip install agno openinference-instrumentation-agno respan-exporter-agno
+ ```
+
+2. **Setup Respan Account**
+
+ - Create an account at [platform.respan.ai](https://platform.respan.ai).
+ - Generate an API key on the [API keys page](https://platform.respan.ai/platform/api/api-keys).
+
+3. **Set Environment Variables**
+
+ ```bash
+ export RESPAN_API_KEY=
+ ```
+
+## Sending Traces to Respan
+
+```python
+from agno.agent import Agent
+from agno.models.openai import OpenAIChat
+from respan_exporter_agno import RespanAgnoInstrumentor
+
+# Initialize Respan instrumentation
+RespanAgnoInstrumentor.instrument()
+
+# Create and configure the agent
+agent = Agent(
+ model=OpenAIChat(id="gpt-4o-mini"),
+ instructions="You are a helpful assistant.",
+)
+
+# Use the agent
+agent.print_response("Tell me a joke about AI")
+```
+
+View your traces on the [Traces page](https://platform.respan.ai/platform/traces) in the Respan dashboard.
+
+## Configuration
+
+`RespanAgnoInstrumentor.instrument()` accepts the following parameters:
+
+| Parameter | Type | Default | Description |
+| --------------------- | ------------- | ------------------------ | ---------------------------- |
+| `api_key` | `str` | `RESPAN_API_KEY` env var | Respan API key. |
+| `endpoint` | `str | None` | `None` | Custom ingest endpoint URL. |
+| `base_url` | `str | None` | `None` | API base URL. |
+| `environment` | `str | None` | `None` | Environment label. |
+| `customer_identifier` | `str | None` | `None` | Default customer identifier. |
+
+## Notes
+
+- **Environment Variables**: Set `RESPAN_API_KEY` to avoid passing `api_key` directly in code.
+- **Initialization Order**: Call `RespanAgnoInstrumentor.instrument()` before creating any agents.
+- **Respan Docs**: See the [Respan Agno integration guide](https://respan.ai/docs/integrations/tracing/agno) for additional details.