__mitmproxy__ has a powerful scripting API that allows you to modify flows on-the-fly or rewrite previously saved flows locally. The mitmproxy scripting API is event driven - a script is simply a Python module that exposes a set of event methods. Here's a complete mitmproxy script that adds a new header to every HTTP response before it is returned to the client: $!example("examples/add_header.py")!$ The first argument to each event method is an instance of ScriptContext that lets the script interact with the global mitmproxy state. The __response__ event also gets an instance of Flow, which we can use to manipulate the response itself. ## Events ### start(ScriptContext) Called once on startup, before any other events. ###clientconnect(ScriptContext, ClientConnect) Called when a client initiates a connection to the proxy. Note that a connection can correspond to multiple HTTP requests. ###request(ScriptContext, Flow) Called when a client request has been received. The __Flow__ object is guaranteed to have a non-None __request__ attribute. ### response(ScriptContext, Flow) Called when a server response has been received. The __Flow__ object is guaranteed to have non-None __request__ and __response__ attributes. ### error(ScriptContext, Flow) Called when a flow error has occurred, e.g. invalid server responses, or interrupted connections. This is distinct from a valid server HTTP error response, which is simply a response with an HTTP error code. The __Flow__ object is guaranteed to have non-None __request__ and __error__ attributes. ### clientdisconnect(ScriptContext, ClientDisconnect) Called when a client disconnects from the proxy. ### done(ScriptContext) Called once on script shutdown, after any other events. ## API The main classes you will deal with in writing mitmproxy scripts are:

libmproxy.flow.ClientConnection | Describes a client connection.
libmproxy.flow.ClientDisconnection | Describes a client disconnection.
libmproxy.flow.Error | A communications error.
libmproxy.flow.Flow | A collection of objects representing a single HTTP transaction.
libmproxy.flow.Headers | HTTP headers for a request or response.
libmproxy.flow.ODict | A dictionary-like object for managing sets of key/value data. There is also a variant called CaselessODict that ignores key case for some calls (used mainly for headers).
libmproxy.flow.Response | An HTTP response.
libmproxy.flow.Request | An HTTP request.
libmproxy.flow.ScriptContext | A handle for interacting with mitmproxy's from within scripts.
libmproxy.certutils.SSLCert | Exposes information SSL certificates.

The canonical API documentation is the code. You can view the API documentation using pydoc (which is installed with Python by default), like this:

    > pydoc libmproxy.flow.Request

## Running scripts on saved flows Sometimes, we want to run a script on __Flow__ objects that are already complete. This happens when you start a script, and then load a saved set of flows from a file (see the "scripted data transformation" example on the [mitmdump](@!urlTo("mitmdump.html")!@) page). It also happens when you run a one-shot script on a single flow through the _|_ (pipe) shortcut in mitmproxy. In this case, there are no client connections, and the events are run in the following order: __start__, __request__, __response__, __error__, __done__. If the flow doesn't have a __response__ or __error__ associated with it, the matching event will be skipped.