An Envoy ExternalProcessor SDK in python

Overview

Forked from wrossmorrow/envoy-extproc-sdk

envoy, one of the most powerful and widely used reverse proxies, is able to query an ExternalProcessor gRPC service in it's filter chain. This functionality opens the door to quickly and robustly implemently customized functions at the edge, instead of in targeted services. Bond, for example, is using this functionality to implement authentication, API call logging, and write-request idempotency. While powerful, implementing these services still requires dealing with complicated envoy specs, managing information sharing across request phases, and an understanding of gRPC, none of which are exactly straightforward.

The purpose of this SDK is to make development of ExternalProcessors easy. This SDK certainly won't supply the most performant edge functions. With the docker compose setup here we see an overhead of about 20ms/req with 6 processors in the filter chain, or maybe about 4-5ms/req per filter. Without a doubt, much better performance will come from eschewing the ease-of-use functionality here, packing processor functions together in one filter, implementing your filter in a compiled language, or even more likely not using an ExternalProcessor at all but instead using a WASM plugin or registered custom filter binary. Optimal performance isn't our goal; usability, maintainability, and low time-to-functionality is, and those aspects can often be more important than minimal latency.

Usage

Specifically we supply a BaseExtProcService that provides much of the boilerplate required to make this type of service. Here is a brief, untyped example of how to build one (based on examples/decorated.py):

import logging
from envoy_extproc_sdk import BaseExtProcService, serve

svc = BaseExtProcService(name="DecoratedExtProcService")

@svc.process("request_headers")
def start_digest(headers, context, request, response):
    ... # do stuff

@svc.process("request_body")
def complete_digest(body, context, request, response):
    ... # do stuff

if __name__ == "__main__":
    FORMAT = "%(asctime)s : %(levelname)s : %(message)s"
    logging.basicConfig(level=logging.INFO, format=FORMAT, handlers=[logging.StreamHandler()])
    serve(service=svc)

In short, you can simply "decorate" methods (of the right signature) and form an ExternalProcessor. This "route decoration" is a pattern common to python server frameworks, and is probably the easiest way to get started. The primary pattern we use though is subclassing, as you'll see if you review examples/*.py.

class SomeExtProcService(BaseExtProcService):

    def process_request_headers(self, headers, context, request, response):
        ... # do stuff

    def process_request_body(self, body, context, request, response):
        ... # do stuff

if __name__ == "__main__":
    FORMAT = "%(asctime)s : %(levelname)s : %(message)s"
    logging.basicConfig(level=logging.INFO, format=FORMAT, handlers=[logging.StreamHandler()])
    serve(service=SomeExtProcService())

Obviously there's more to it, but that's the basic idea: focus on behaviors more than lower level implementations.

The provided serve interface adopts the grpc.aio paradigm, which we've found a bit cleaner to use here than the threading concurrency model. We also add an implementation of the HealthService for gRPC in order to run in a context (like kubernetes) with health probes.

Really you'll still need to learn some details about how envoy specifies and types these services and their data, but it's much more limited here. Basically BaseExtProcService implements the single RPC Process defined by the spec, pulls out the request phase data from ProcessingRequest, and wraps request phase specific handlers in the requisite ProcessingResponse. This enables a subclass (or decorated methods) to focus solely on the logic for handling the request phases. These phases are

{request,response}_headers: process request or response headers
{request,response}_body: process request or response bodies
{request,response}_trailers: process request or response trailers (note: we've found this buggy in envoy)

See this PRD for some extra illustration and discussion around the ExternalProcessor flow.

The BaseExtProcService also implements it's own "request context" (the request argument in the decorated handlers above) to enable data passing between request phases. This is a critical feature for effective, powerful external processing. envoy sends only request header data when asking to process request headers, only body data when asking to process request body, etc. But processor behaviors or computing can easily depend on the full known scope of request data.

Storing and managing that inter-phase data is what request is for; see examples/*.py for, well, examples. BaseExtProcService is largely unopinionated about what data should be contained in the request, as that is highly use-case specific. As of now it only takes two default actions:

In the request_headers phase, it pulls a set of "standard" headers into the request: the method, path, content-type, content-length, and the x-request-id.
In the response_headers phase, it does the same over writing content-type and content-length.

Distribution

We distribute this as python package on pypi

$ uv pip install envoy-extproc-sdk

and as a docker container on dockerhub

$ docker pull envoy-extproc-sdk-python:latest

Note we do not package generated code from envoy's protobuf specs in the python module. (The grpc libraries themselves are "broken" relative to newer protobuf because they embedd old generated code for health checks, which seem now unusable.) So if you use the python package you have to build and install the protobuf generated code from envoy (see buf.yaml here and make codegen) for it to work. We recommend following our approach here, as we customize handling of the health check generated code.

You can build on top of the envoy_extproc_sdk docker image and avoid this, as we do package the generated code in images. This can be done in the normal way, actually as illustrated by the examples here. In fact, examples/Dockerfile (used in the docker compose.yaml) is only

# syntax=docker/dockerfile:1.2
ARG IMAGE_TAG=latest
FROM envoy-extproc-sdk:${IMAGE_TAG}
COPY ./examples ./examples

Testing

Unit Testing

There are some testing utilities in envoy_extproc_sdk.testing. These mainly help create and send payloads to a processor for unit testing.

envoy_headers: return a HttpHeaders object from a dict of headers or a list of key-value pairs
envoy_body: return a HttpBody object from several types that could be bodies
envoy_set_headers_to_dict: return a dict of headers from a CommonResponse object (useful for response modification assertions)
AsEnvoyExtProc is a class that can be initialized with phase data and sent to BaseExtProcService.Process to mimic processing of a request; ie

P = BaseExtProcService()
E = AsEnvoyExtProc(request_headers=headers, request_body=body)
async for response in P.Process(E, None):
    ... # parse ProcessResponse and execute assertions based on phase

Integration Testing

The project includes integration tests to validate the example services through an Envoy proxy. These tests use httpx as an async HTTP client to make requests to the Envoy proxy, which in turn sends the requests through the external processor services.

To run the integration tests:

Start the Docker Compose services in detached mode:

make up-test

Run the integration tests:

make integration-test

Clean up the Docker Compose services:

make down-test

Or run all tests (unit and integration) with a single command:

make test

Envoy Configuration

Of course, this service isn't useful outside an envoy deployment configured to use it. This SDK doesn't help you configure your envoy, but see envoy.yaml for example configurations and see the configuration reference.

A simple version is something like

- name: envoy.filters.http.ext_proc
  typed_config:
    "@type": type.googleapis.com/envoy.extensions.filters.http.ext_proc.v3.ExternalProcessor
    grpc_service: 
      envoy_grpc:
        cluster_name: my-extproc
      timeout: 30s
    failure_mode_allow: true
    message_timeout: 0.2s
    processing_mode: 
      request_header_mode: SEND
      response_header_mode: SKIP
      request_body_mode: BUFFERED
      response_body_mode: BUFFERED
      request_trailer_mode: SKIP
      response_trailer_mode: SKIP

where my-extproc is a defined cluster pointing to the gRPC service.

The key features to point out are:

failure_mode_allow declares whether ExternalProcessor failures to break the request flow (false) or should be ignored (true); if a processor's action is critical to request processing, this should be false.
message_timeout is the per-message timeout within a stream. This should be tailored to how long any phase in request processing can take.
grpc_service.timeout is the full request timeout of a whole stream. This should be tailored to how long the whole request can take, including any upstream filters or the ultimate target.
the processing_modes are important, describing what data an ExternalProcessor gets or doesn't. See the specification for details. The example service above will receive request headers but not response headers, the full request and response bodies in one pass (not streamed), and no trailers.

Interface

Command Line Interface

You can run the package as module and invoke a CLI:

$ python -m envoy_extproc_sdk --help
usage: __main__.py [-h] [-s SERVICE] [-p PORT] [-g GRACE_PERIOD] [-l]

optional arguments:
  -h, --help            show this help message and exit
  -s SERVICE, --service SERVICE
                        Processor to use, as an import spec
  -p PORT, --port PORT  Port to run service on
  -g GRACE_PERIOD, --grace-period GRACE_PERIOD
                        Grace period to finish requests on shutdown
  -l, --logging         Include logging setup

Use

-s/--service to tell the CLI what service to run (values should be a python import spec),
-p/--port is the port to run the server on (by default 50051),
-g/--grace-period is the time (in seconds) to wait for requests to finish after interrupt (by default 5),
-l/--logging is a flag to setup logging at runtime (you might not want this, preferring your own logging setup).

Other or overlapping settings from env vars are in settings.py:

GRPC_PORT (default 50051): the server listerner port
SHUTDOWN_GRACE_PERIOD (default 5 seconds): the time to wait for gracefull shutdown of the gRPC service
REVEAL_EXTPROC_CHAIN (default True): whether to add a response header that builds a list of all ExternalProcessors used in handling a request
EXTPROCS_APPLIED_HEADER (default x-ext-procs-applied): the name of that header

Utilities

Currently BaseExtProcService has some @staticmethod helpers for processing headers. Helpers for handling bodies may be introduced later.

BaseExtProcService.get_header Get a header from the request or response headers.

Arguments:

headers a HttpHeaders object
name (str) the name of the header to look for
lower_cased (bool, default False) whether the name is already lowercased

Returns the value of the header searched for, if it exists. None if it doesn't.

BaseExtProcService.get_headers Get a set of headers from the request or response headers.

Arguments:

headers a HttpHeaders object
names (Union[Dict[str, str], List[Tuple[str, str]]]) the names of the headers to look for, by actual header names, mapped to keys to use in the returned list (e.g., x-api-key to apikey)
lower_cased (bool, default False) whether the name is already lowercased

Returns a Dict with mapped names as keys and header values (or None) as values.

BaseExtProcService.add_header Add a header to the request or response headers.

Arguments:

response a CommonResponse object
key (str) the header to set
value (str) the header value

Returns the updated response.

BaseExtProcService.add_headers Add a set of headers to the request or response headers.

Arguments:

response a CommonResponse object
headers (Union[Dict[str, str], List[Tuple[str, str]]]) the headers, as a dict or list of key-value pairs, to add

Returns the updated response.

BaseExtProcService.remove_header Remove a header from the request or response headers.

Arguments:

response a CommonResponse object
name (str) the header to remove (if it exists)

Returns the updated response.

BaseExtProcService.remove_headers Remove a set of headers from the request or response headers.

Arguments:

response a CommonResponse object
name (List[str]) the headers, by name, to remove (if they exist)

Returns the updated response.

BaseExtProcService.form_immediate_response Construct an ImmediateResponse object, which tells envoy to stop processing the request and respond as described.

Arguments:

status (EnvoyHttpStatusCode a wrapper around envoy's StatusCode) the status code for the response
headers (Dict[str, str]) the response headers to return to the caller
body (str) the body to return to the caller

Returns the constructed ImmediateResponse.

Phase Handlers

The following documents how to implement the "request phase handlers". These describe what to do win each phase, how to read/write request context, and how to modify a request or response. In any phase you can raise a

envoy_extproc_sdk.StopRequestProcessing

Exception to supply a response directly from the processor (without sending to the upstream processors or target). The constructor requires an ImmediateResponse object, which you can construct with the helper method

raise StopRequestProcessing(response=form_immediate_response(...))

in BaseExtProcService.

In the labels below we assume

P = BaseExtProcService(name="SomeExtProcService")

`@P.process("request_headers")` or `def process_request_headers`

Arguments:

headers, an envoy HttpHeaders object describing the request headers.
context, a gRPC ServicerContext from the RPC
request, a simple Dict for supplying/supplementing request context across phases
response, a CommonResponse object for telling envoy how to mutate the request (if at all).

Return the (possibly modified) response passed in, or raise a StopRequestProcessing.

`@P.process("request_body")` or `def process_request_body`

Arguments:

body, an envoy HttpBody object describing the request body.
context, a gRPC ServicerContext from the RPC
request, a simple Dict for supplying/supplementing request context across phases
response, a CommonResponse object for telling envoy how to mutate the request (if at all).

Return the (possibly modified) response passed in, or raise a StopRequestProcessing.

`@P.process("response_headers")` or `def process_response_headers`

Arguments:

headers, an envoy HttpHeaders object describing the request headers.
context, a gRPC ServicerContext from the RPC
request, a simple Dict for supplying/supplementing request context across phases
response, a CommonResponse object for telling envoy how to mutate the response (if at all).

Return the (possibly modified) response passed in, or raise a StopRequestProcessing.

`@P.process("response_body")` or `def process_response_body`

Arguments:

body, an envoy HttpBody object describing the response body.
context, a gRPC ServicerContext from the RPC
request, a simple Dict for supplying/supplementing request context across phases
response, a CommonResponse object for telling envoy how to mutate the response (if at all).

Return the (possibly modified) response passed in, or raise a StopRequestProcessing.

Trailers

Trailers handlers are similar, but less likely to be used. See the code for details.

Examples

There are several examples in examples/. These can be packaged in the docker image built from examples/Dockerfile (see make build) and included as services in the docker compose.yaml. The basic envoy config envoy.yaml (used by the docker compose) sets each example up to be used.

envoy_extproc_sdk.BaseExtProcService: The BaseExtProcService is an example in it's own right, but does nothing to requests. Using LOG_LEVEL=DEBUG will print log lines describing the processing steps taken. Run with

LOG_LEVEL=DEBUG make run

For any other examples you can use the same command to run, specifying the SERVICE. For example,

make run SERVICE=examples.TrivialExtProcService

will run our first example, the "trivial" processor.

examples.TrivialExtProcService: This example adds an upstream header as well as a response header, both the x-request-id but in the name x-extra-request-id.
examples.TimerExtProcService: This example times the request, add an upstream header (which the request started), and add two response headers (when the request started and how long it took in nanoseconds).
examples.DigestExtProcService: This example computes a SHA256 digest of the request method, path, and body, and add that as an upstream request header and a response header x-request-digest. It demonstrates inter-phase data use.
examples.DecoratedExtProcService: This example copies DigestExtProcService, but implements the service using the @process decorator instead of as a subclass service.
examples.EchoExtProcService: This example demonstrates use of StopRequestProcessing to respond immediately from an ExternalProcessor, instead of sending a request to the upstream processors or target.
examples.BodyModifyExtProcService: This example demonstrates how to modify the JSON request body before forwarding to the upstream service. It renames a key, modifies a value, and adds headers to indicate the body was modified.
examples.LLMProxyExtProcService: This example demonstrates how to proxy requests to an LLM API by modifying request parameters and headers. It specifically handles streaming responses from LLM providers and shows how to implement an API proxy for model inference providers like OpenAI.
CtxExtProcService: This example allows for testing the request context. It reads a request header x-context-id, adding that to the upstream request headers. If that header is missing, the service does nothing else. If it exists, it will also analyze the request body, which it expects to be exactly the x-context-id supplied. The processor will fail if this doesn't match. The filter also processes the response body, which it expects to be JSON with the request path equal to path (as with our echo server in tests/mocks/echo). The service checks that value matches the path stored in the request context. These steps are largely to check that we can concurrently make requests with different values and see consistency in the response header x-context-id, which we will not get if the service's processing fails.

Development

Requirements

python3.9
uv for package management
make for convenience commands
protoc and buf for generating code from protobuf schemas for envoy
docker for testing

Quickstart

CLI/`make`

The Makefile provides a lot of helpful targets to get started. The simplest quickstart is probably

$ make install format unit-test run

This will (a) install the python dependencies, (b) use buf to generate code (and install it in the current virtual environment), (c) format the code, (d) run the unit tests, (e) and run the BaseExtProcService. However, running the service on it's own is only partially useful as the service is a gRPC service which isn't the easiest to just curl at.

Review the Makefile for other commands, including

format (isort, black, and flake8 linting),
types (for mypy static type analysis),
build (for docker build)
package (for building a python package)
publish (for distributing the python package)

`docker`

The docker compose is a setup with envoy, a naive "echo" HTTP server (see tests/mocks/echo/echo.py), and the example ExternalProcessor services from examples/. This way you can make plain HTTP requests and actually see outcomes from the filters. The single upstream echo server responds to any request with a JSON payload containing the following keys

method: the request method it saw
path: the request path
headers: a nested JSON of all the request headers it received
body: any request body it received
message: a message from the echo server

For example, after running

$ make up

you can try

$ curl localhost:8080/something -D -

HTTP/1.1 200 OK
server: envoy
date: Sat, 16 Jul 2022 22:55:19 GMT
content-length: 524
content-type: application/json
x-envoy-upstream-service-time: 1
x-request-started: 2022-07-16T22:55:19.290822Z
x-duration-ns: 23589000
x-ext-procs-applied: TrivialExtProcService,TimerExtProcService,EchoExtProcService,DigestExtProcService,DecoratedExtProcService,CtxExtProcService
x-extra-request-id: 554c54e8-fac1-42e3-8ab8-1f2264f59664

{"method": "get", "path": "/something", "headers": {"host": "localhost:8080", "user-agent": "curl/7.64.1", "accept": "*/*", "x-forwarded-proto": "http", "x-request-id": "554c54e8-fac1-42e3-8ab8-1f2264f59664", "x-extra-request-id": "554c54e8-fac1-42e3-8ab8-1f2264f59664", "x-request-started": "2022-07-16T22:55:19.290822Z", "x-request-digest": "860d64d6465b9e9886050295087e8a547b3e7a3c40e79d26147b50a97b9ac2c6", "x-context-id": "", "x-envoy-expected-rq-timeout-ms": "15000"}, "body": "{\"hello\":\"hi\"}", "message": "Hello"}

or

$ curl localhost:8080/something -X PUT -H 'Content-type: application/json' -d '{"hello":"hi"}' -D -

HTTP/1.1 200 OK
server: envoy
date: Sat, 16 Jul 2022 22:54:49 GMT
content-length: 584
content-type: application/json
x-envoy-upstream-service-time: 0
x-request-digest: a794dbc467285567e4c2604c991938386366f6ab94b0b0e4fab5e27e0a932e60
x-request-started: 2022-07-16T22:54:49.660908Z
x-duration-ns: 25046000
x-ext-procs-applied: TrivialExtProcService,TimerExtProcService,EchoExtProcService,DigestExtProcService,DecoratedExtProcService,CtxExtProcService
x-extra-request-id: 7a983b59-d67c-44c8-a54a-2afae7069ac9

{"method": "put", "path": "/something", "headers": {"host": "localhost:8080", "user-agent": "curl/7.64.1", "accept": "*/*", "content-type": "application/json", "content-length": "14", "x-forwarded-proto": "http", "x-request-id": "7a983b59-d67c-44c8-a54a-2afae7069ac9", "x-extra-request-id": "7a983b59-d67c-44c8-a54a-2afae7069ac9", "x-request-started": "2022-07-16T22:54:49.660908Z", "x-request-digest": "a794dbc467285567e4c2604c991938386366f6ab94b0b0e4fab5e27e0a932e60", "x-context-id": "", "x-envoy-expected-rq-timeout-ms": "15000"}, "body": "{\"hello\":\"hi\"}", "message": "Hello"}

For contrast, here are these two requests without filters:

$ curl localhost:8080/something -X PUT -H 'Content-type: application/json' -d '{"hello":"hi"}' -D -

HTTP/1.1 200 OK
server: envoy
date: Sat, 16 Jul 2022 23:40:24 GMT
content-length: 362
content-type: application/json
x-envoy-upstream-service-time: 1

{"method": "put", "path": "/something", "headers": {"host": "localhost:8080", "user-agent": "curl/7.64.1", "accept": "*/*", "content-type": "application/json", "content-length": "14", "x-forwarded-proto": "http", "x-request-id": "0afcd2c4-6d3d-4513-a29b-40c7954f8942", "x-envoy-expected-rq-timeout-ms": "15000"}, "body": "", "message": "Hello"}

$ curl localhost:8080/something -D -

HTTP/1.1 200 OK
server: envoy
date: Sat, 16 Jul 2022 23:40:30 GMT
content-length: 302
content-type: application/json
x-envoy-upstream-service-time: 1

Note the additional response headers and the extra information about the upstream services request headers in the response body. That's the filter set working!

{"method": "get", "path": "/something", "headers": {"host": "localhost:8080", "user-agent": "curl/7.64.1", "accept": "*/*", "x-forwarded-proto": "http", "x-request-id": "f8dfa254-157b-4f75-a7d0-121f3d245d6b", "x-envoy-expected-rq-timeout-ms": "15000"}, "body": "{\"hello\":\"hi\"}", "message": "Hello"}

For testing the LLM proxy example:

$ curl -v "http://localhost:8080/v1/chat/completions" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer test-key" \
  -d '{"model": "gpt-3.5-turbo", "messages": [{"role": "user", "content": "Hello"}], "stream": true}'

< HTTP/1.1 200 OK
< server: envoy
< date: Thu, 27 Mar 2025 20:40:52 GMT
< content-type: text/event-stream
< x-forwarded-for: 192.168.65.1
< x-forwarded-proto: http
< x-envoy-internal: true
< x-request-id: e23096e2-0762-4de6-9e6b-8c47872579b3
< x-context-id: 
< x-target-model: gpt-3.5-turbo
< x-content-length: 87
< x-envoy-expected-rq-timeout-ms: 60000
< x-envoy-upstream-service-time: 0
< x-llm-proxy: true
< x-original-model: gpt-3.5-turbo
< x-route-to: openai:80
< x-request-digest: 7619fb38d7531fd3f55b3971f6e04bfcbfac8f8a8c8f8f760fbbd3712f62e5da
< x-request-started: 2025-03-27T20:40:52.681284Z
< x-duration-ns: 434543000
< x-ext-procs-applied: TrivialExtProcService,TimerExtProcService,BodyModifyExtProcService,EchoExtProcService,DigestExtProcService,DecoratedExtProcService,CtxExtProcService,LLMProxyExtProcService
< x-extra-request-id: e23096e2-0762-4de6-9e6b-8c47872579b3
< transfer-encoding: chunked

data: {"id": "chatcmpl-123", "object": "chat.completion.chunk", "model": "gpt-4o", "choices": [{"index": 0, "delta": {"role": "assistant"}, "finish_reason": null}]}

data: {"id": "chatcmpl-123", "object": "chat.completion.chunk", "model": "gpt-4o", "provider": "openai", "choices": [{"index": 0, "delta": {"content": "part 1 Response from openai provider. "}, "finish_reason": null}]}

data: {"id": "chatcmpl-123", "object": "chat.completion.chunk", "model": "gpt-4o", "provider": "openai", "choices": [{"index": 0, "delta": {"content": "part 2 "}, "finish_reason": null}]}

data: {"id": "chatcmpl-123", "object": "chat.completion.chunk", "model": "gpt-4o", "provider": "openai", "choices": [{"index": 0, "delta": {"content": "part 3 "}, "finish_reason": null}]}

data: {"id": "chatcmpl-123", "object": "chat.completion.chunk", "model": "gpt-4o", "choices": [{"index": 0, "delta": {"content": "completed"}, "finish_reason": "stop"}]}

data: [DONE]

Name		Name	Last commit message	Last commit date
Latest commit History 63 Commits
envoy_extproc_sdk		envoy_extproc_sdk
examples		examples
scripts		scripts
tests		tests
.flake8		.flake8
.gitignore		.gitignore
Dockerfile		Dockerfile
LICENSE.md		LICENSE.md
Makefile		Makefile
README.md		README.md
buf.gen.yaml		buf.gen.yaml
buf.lock		buf.lock
buf.yaml		buf.yaml
docker-compose.yaml		docker-compose.yaml
envoy.yaml		envoy.yaml
justfile		justfile
pyproject.toml		pyproject.toml
uv.lock		uv.lock

Provide feedback

Saved searches

Use saved searches to filter your results more quickly

Uh oh!

Repository files navigation

An Envoy ExternalProcessor SDK in python

Overview

Usage

Distribution

Testing

Unit Testing

Integration Testing

Envoy Configuration

Interface

Command Line Interface

Utilities

Phase Handlers

`@P.process("request_headers")` or `def process_request_headers`

`@P.process("request_body")` or `def process_request_body`

`@P.process("response_headers")` or `def process_response_headers`

`@P.process("response_body")` or `def process_response_body`

Trailers

Examples

Development

Requirements

Quickstart

CLI/`make`

`docker`

About

Uh oh!

Releases

Packages

Uh oh!

Languages

License

Tanantor/envoy-extproc-sdk

Folders and files

Latest commit

History

Repository files navigation

An Envoy ExternalProcessor SDK in python

Overview

Usage

Distribution

Testing

Unit Testing

Integration Testing

Envoy Configuration

Interface

Command Line Interface

Utilities

Phase Handlers

@P.process("request_headers") or def process_request_headers

@P.process("request_body") or def process_request_body

@P.process("response_headers") or def process_response_headers

@P.process("response_body") or def process_response_body

Trailers

Examples

Development

Requirements

Quickstart

CLI/make

docker

About

Resources

License

Uh oh!

Stars

Watchers

Forks

Releases

Packages 0

Uh oh!

Languages

`@P.process("request_headers")` or `def process_request_headers`

`@P.process("request_body")` or `def process_request_body`

`@P.process("response_headers")` or `def process_response_headers`

`@P.process("response_body")` or `def process_response_body`

CLI/`make`

`docker`

Packages