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DouweM merged 2 commits into from
Nov 19, 2025
Merged

Fix rendering of Logfire docs due to insertion of nested tabs #3476

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Fix rendering of Logfire docs due to insertion of nested tabs
DouweM Nov 19, 2025
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Merge branch 'main' into logfire-httpx-docs
DouweM Nov 19, 2025
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51 changes: 16 additions & 35 deletions docs/logfire.md
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Expand Up @@ -106,49 +106,30 @@ We can also query data with SQL in Logfire to monitor the performance of an appl

### Monitoring HTTP Requests

!!! tip "\"F**k you, show me the prompt.\""
As per Hamel Husain's influential 2024 blog post ["Fuck You, Show Me The Prompt."](https://hamel.dev/blog/posts/prompt/)
(bear with the capitalization, the point is valid), it's often useful to be able to view the raw HTTP requests and responses made to model providers.
As per Hamel Husain's influential 2024 blog post ["Fuck You, Show Me The Prompt."](https://hamel.dev/blog/posts/prompt/)
(bear with the capitalization, the point is valid), it's often useful to be able to view the raw HTTP requests and responses made to model providers.

To observe raw HTTP requests made to model providers, you can use Logfire's [HTTPX instrumentation](https://logfire.pydantic.dev/docs/integrations/http-clients/httpx/) since all provider SDKs use the [HTTPX](https://www.python-httpx.org/) library internally.
To observe raw HTTP requests made to model providers, you can use Logfire's [HTTPX instrumentation](https://logfire.pydantic.dev/docs/integrations/http-clients/httpx/) since all provider SDKs (except for [Bedrock](models/bedrock.md)) use the [HTTPX](https://www.python-httpx.org/) library internally:

=== "With HTTP instrumentation"

```py {title="with_logfire_instrument_httpx.py" hl_lines="7"}
import logfire

from pydantic_ai import Agent

logfire.configure()
logfire.instrument_pydantic_ai()
logfire.instrument_httpx(capture_all=True) # (1)!
agent = Agent('openai:gpt-5')
result = agent.run_sync('What is the capital of France?')
print(result.output)
#> The capital of France is Paris.
```

1. See the [`logfire.instrument_httpx` docs][logfire.Logfire.instrument_httpx] more details, `capture_all=True` means both headers and body are captured for both the request and response.

![Logfire with HTTPX instrumentation](img/logfire-with-httpx.png)

=== "Without HTTP instrumentation"
```py {title="with_logfire_instrument_httpx.py" hl_lines="7"}
import logfire

```py {title="without_logfire_instrument_httpx.py"}
import logfire
from pydantic_ai import Agent

from pydantic_ai import Agent
logfire.configure()
logfire.instrument_pydantic_ai()
logfire.instrument_httpx(capture_all=True) # (1)!

logfire.configure()
logfire.instrument_pydantic_ai()
agent = Agent('openai:gpt-5')
result = agent.run_sync('What is the capital of France?')
print(result.output)
#> The capital of France is Paris.
```

agent = Agent('openai:gpt-5')
result = agent.run_sync('What is the capital of France?')
print(result.output)
#> The capital of France is Paris.
```
1. See the [`logfire.instrument_httpx` docs][logfire.Logfire.instrument_httpx] more details, `capture_all=True` means both headers and body are captured for both the request and response.

![Logfire without HTTPX instrumentation](img/logfire-without-httpx.png)
![Logfire with HTTPX instrumentation](img/logfire-with-httpx.png)

## Using OpenTelemetry

Expand Down