In versions lower than `0.65.2`, FastAPI would try to read the request payload as JSON even if the `content-type` header sent was not set to `application/json` or a compatible JSON media type (e.g. `application/geo+json`).

So, a request with a content type of `text/plain` containing JSON data would be accepted and the JSON data would be extracted.

    now served with tensorflow/serving, it will accept requests using 'inputs'
    and 'outputs'. Starting at 1.2, such a model will accept the keys specified
    during export. Therefore, inference requests using 'inputs' and 'outputs'
    may start to fail. To fix this, either update any inference clients to send
    requests with the actual input and output keys used by the trainer code, or

der" "math/bits" ) // Counter is an SP 800-90A Rev. 1 CTR_DRBG instantiated with AES-256. // // Per Table 3, it has a security strength of 256 bits, a seed size of 384 bits, // a counter length of 128 bits, a reseed interval of 2^48 requests, and a // maximum request size of 2^19 bits (2^16 bytes, 64 KiB). // // We support a narrow range of parameters that fit the needs of our RNG: // AES-256, no derivation function, no personalization string, no prediction // resistance, and 384-bit additional input....

pkg net/http/httputil, method (*ProxyRequest) SetXForwarded() #53002
pkg net/http/httputil, type ProxyRequest struct #53002
pkg net/http/httputil, type ProxyRequest struct, In *http.Request #53002
pkg net/http/httputil, type ProxyRequest struct, Out *http.Request #53002
pkg net/http/httputil, type ReverseProxy struct, Rewrite func(*ProxyRequest) #53002
pkg net/http, method (*ResponseController) Flush() error #54136