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OpenAI.c
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/* SPDX-FileCopyrightText: 2023-2024 Espressif Systems (Shanghai) CO LTD
*
* SPDX-License-Identifier: Apache-2.0
*/
#include <string.h>
#include <stdlib.h>
#include <stdio.h>
#include <sys/cdefs.h>
#include <inttypes.h>
#include "cJSON.h"
#include "esp_log.h"
#include "OpenAI.h"
#include "esp_http_client.h"
#include "esp_crt_bundle.h"
static const char *TAG = "OpenAI";
#define OPENAI_DEFAULT_BASE_URL CONFIG_DEFAULT_OPENAI_BASE_URL
#define OPENAI_ERROR_CHECK(a, str, ret) if(!(a)) { \
ESP_LOGE(TAG,"%s:%d (%s):%s", __FILE__, __LINE__, __FUNCTION__, str); \
return (ret); \
}
#define OPENAI_ERROR_CHECK_ABORT(a, str) if(!(a)) { \
ESP_LOGE(TAG,"%s:%d (%s):%s", __FILE__, __LINE__, __FUNCTION__, str); \
abort(); \
}
#define OPENAI_ERROR_CHECK_RETURN_VOID(a, str) if(!(a)) { \
ESP_LOGE(TAG,"%s:%d (%s):%s", __FILE__, __LINE__, __FUNCTION__, str); \
return; \
}
#define OPENAI_ERROR_CHECK_CONTINUE(a, str) if(!(a)) { \
ESP_LOGE(TAG,"%s:%d (%s):%s", __FILE__, __LINE__, __FUNCTION__, str); \
}
#define OPENAI_ERROR_CHECK_GOTO(a, str, label) if(!(a)) { \
ESP_LOGE(TAG,"%s:%d (%s):%s", __FILE__, __LINE__, __FUNCTION__, str); \
goto label; \
}
#define str_extend(wt, ...) { \
char *tmp = (wt); \
if (asprintf(&(wt), __VA_ARGS__) < 0) abort(); \
if (tmp) { free(tmp); tmp = NULL; } \
}
// Macros for building the request
#define reqAddString(var, val) \
if (cJSON_AddStringToObject(req, var, val) == NULL) { \
cJSON_Delete(req); \
ESP_LOGE(TAG, "cJSON_AddStringToObject failed!"); \
return result; \
}
#define reqAddNumber(var, val) \
if (cJSON_AddNumberToObject(req, var, val) == NULL) { \
cJSON_Delete(req); \
ESP_LOGE(TAG, "cJSON_AddNumberToObject failed!"); \
return result; \
}
#define reqAddBool(var, val) \
if (cJSON_AddBoolToObject(req, var, val) == NULL) { \
cJSON_Delete(req); \
ESP_LOGE(TAG, "cJSON_AddBoolToObject failed!"); \
return result; \
}
#define reqAddItem(var, val) \
if (!cJSON_AddItemToObject(req, var, val)) { \
cJSON_Delete(req); \
cJSON_Delete(val); \
ESP_LOGE(TAG, "cJSON_AddItemToObject failed!"); \
return result; \
}
char *getJsonError(cJSON *json)
{
if (json == NULL) {
return strdup("cJSON_Parse failed!");
}
if (!cJSON_IsObject(json)) {
char *jsonStr = cJSON_Print(json);
char *errorMsg = NULL;
asprintf(&errorMsg, "\"code\": Response is not an object! %s", jsonStr);
OPENAI_ERROR_CHECK(errorMsg != NULL, "asprintf failed!", NULL);
free(jsonStr);
return errorMsg;
}
if (cJSON_HasObjectItem(json, "error")) {
cJSON *error = cJSON_GetObjectItem(json, "error");
if (!cJSON_IsObject(error)) {
char *jsonStr = cJSON_Print(error);
char *errorMsg = NULL;
asprintf(&errorMsg, "\"code\": Error is not an object! %s", jsonStr);
OPENAI_ERROR_CHECK(errorMsg != NULL, "asprintf failed!", NULL);
free(jsonStr);
return errorMsg;
}
if (!cJSON_HasObjectItem(error, "code")) {
char *jsonStr = cJSON_Print(error);
char *errorMsg = NULL;
asprintf(&errorMsg, "\"code\": Error does not contain code! %s", jsonStr);
OPENAI_ERROR_CHECK(errorMsg != NULL, "asprintf failed!", NULL);
free(jsonStr);
return errorMsg;
}
cJSON *error_code = cJSON_GetObjectItem(error, "code");
char *errorMsg = NULL;
asprintf(&errorMsg, "\"code\": %s!", cJSON_GetStringValue(error_code));
return errorMsg;
}
return NULL;
}
//
// OpenAI
//
typedef struct {
OpenAI_t parent; /*!< Parent object */
char *api_key; /*!< API key for OpenAI */
char *base_url; /*!< Base URL for OpenAI or Other compatible API */
char *(*get)(const char *base_url, const char *api_key, const char *endpoint); /*!< Perform an HTTP GET request. */
char *(*del)(const char *base_url, const char *api_key, const char *endpoint); /*!< Perform an HTTP DELETE request. */
char *(*post)(const char *base_url, const char *api_key, const char *endpoint, char *jsonBody); /*!< Perform an HTTP POST request. */
char *(*speechpost)(const char *base_url, const char *api_key, const char *endpoint, char *jsonBody, size_t *output_len); /*!< Perform an HTTP POST request for speech. */
char *(*speechpost_stream)(const char *base_url, const char *api_key, const char *endpoint, char *jsonBody, size_t *output_len, OpenAI_StreamCallback stream_callback); /*!< Perform an HTTP POST request for stream speech. */
char *(*upload)(const char *base_url, const char *api_key, const char *endpoint, const char *boundary, uint8_t *data, size_t len); /*!< Upload data using an HTTP request. */
} _OpenAI_t;
//
// OpenAI_EmbeddingResponse
//
typedef struct {
OpenAI_EmbeddingResponse_t parent;
uint32_t usage;
uint32_t len;
OpenAI_EmbeddingData_t *data;
char *error_str;
} _OpenAI_EmbeddingResponse_t;
static void OpenAI_EmbeddingResponseDelete(OpenAI_EmbeddingResponse_t *embeddingResponse)
{
_OpenAI_EmbeddingResponse_t *_embeddingResponse = __containerof(embeddingResponse, _OpenAI_EmbeddingResponse_t, parent);
if (_embeddingResponse != NULL) {
if (_embeddingResponse->data) {
for (int i = 0; i < _embeddingResponse->len; i++) {
free(_embeddingResponse->data[i].data);
_embeddingResponse->data[i].data = NULL;
}
free(_embeddingResponse->data);
_embeddingResponse->data = NULL;
}
if (_embeddingResponse->error_str != NULL) {
free(_embeddingResponse->error_str);
_embeddingResponse->error_str = NULL;
}
free(_embeddingResponse);
_embeddingResponse = NULL;
}
}
static uint32_t OpenAI_EmbeddingResponseGetUsage(OpenAI_EmbeddingResponse_t *embeddingResponse)
{
_OpenAI_EmbeddingResponse_t *_embeddingResponse = __containerof(embeddingResponse, _OpenAI_EmbeddingResponse_t, parent);
return _embeddingResponse->usage;
}
static uint32_t OpenAI_EmbeddingResponseGetLen(OpenAI_EmbeddingResponse_t *embeddingResponse)
{
_OpenAI_EmbeddingResponse_t *_embeddingResponse = __containerof(embeddingResponse, _OpenAI_EmbeddingResponse_t, parent);
return _embeddingResponse->len;
}
static OpenAI_EmbeddingData_t *OpenAI_EmbeddingResponseGetDate(OpenAI_EmbeddingResponse_t *embeddingResponse, uint32_t index)
{
_OpenAI_EmbeddingResponse_t *_embeddingResponse = __containerof(embeddingResponse, _OpenAI_EmbeddingResponse_t, parent);
if (index < _embeddingResponse->len) {
return &_embeddingResponse->data[index];
}
return NULL;
}
static char *OpenAI_EmbeddingResponseGetError(OpenAI_EmbeddingResponse_t *embeddingResponse)
{
_OpenAI_EmbeddingResponse_t *_embeddingResponse = __containerof(embeddingResponse, _OpenAI_EmbeddingResponse_t, parent);
return _embeddingResponse->error_str;
}
static OpenAI_EmbeddingResponse_t *OpenAI_EmbeddingResponseCreate(const char *payload)
{
cJSON *u, *tokens, *d, *json;
int dl = 0;
OPENAI_ERROR_CHECK(payload != NULL, "payload is NULL", NULL);
json = cJSON_Parse(payload);
_OpenAI_EmbeddingResponse_t *_embeddingResponse = (_OpenAI_EmbeddingResponse_t *)calloc(1, sizeof(_OpenAI_EmbeddingResponse_t));
OPENAI_ERROR_CHECK(NULL != _embeddingResponse, "calloc failed!", NULL);
char *error = getJsonError(json);
if (error != NULL) {
_embeddingResponse->error_str = error;
ESP_LOGE(TAG, "Error: %s", error);
goto end;
}
// Get total_tokens
OPENAI_ERROR_CHECK_GOTO(cJSON_HasObjectItem(json, "usage"), "Usage was not found", end);
u = cJSON_GetObjectItem(json, "u");
if (u == NULL || !cJSON_IsObject(u) || !cJSON_HasObjectItem(u, "total_tokens")) {
ESP_LOGE(TAG, "Total tokens were not found");
goto end;
}
tokens = cJSON_GetObjectItem(u, "total_tokens");
OPENAI_ERROR_CHECK_GOTO(NULL != tokens, "Total tokens were not found", end);
_embeddingResponse->usage = cJSON_GetNumberValue(tokens);
// Parse data
OPENAI_ERROR_CHECK_GOTO(cJSON_HasObjectItem(json, "data"), "Data was not found", end);
d = cJSON_GetObjectItem(json, "data");
if (d == NULL || !cJSON_IsArray(d)) {
ESP_LOGE(TAG, "Data is not array");
goto end;
}
dl = cJSON_GetArraySize(d);
OPENAI_ERROR_CHECK_GOTO(dl > 0, "Data is empty", end);
_embeddingResponse->data = (OpenAI_EmbeddingData_t *)malloc(dl * sizeof(OpenAI_EmbeddingData_t));
OPENAI_ERROR_CHECK_GOTO(_embeddingResponse->data != NULL, "Data could not be allocated", end);
for (int di = 0; di < dl; di++) {
cJSON *ditem = cJSON_GetArrayItem(d, di);
if (ditem == NULL || !cJSON_IsObject(ditem) || !cJSON_HasObjectItem(ditem, "embedding")) {
ESP_LOGE(TAG, "Embedding was not found");
goto end;
}
cJSON *numberArray = cJSON_GetObjectItem(ditem, "embedding");
if (numberArray == NULL || !cJSON_IsArray(numberArray)) {
ESP_LOGE(TAG, "Embedding is not array");
goto end;
}
int l = cJSON_GetArraySize(numberArray);
OPENAI_ERROR_CHECK_GOTO(l > 0, "Embedding is empty", end);
_embeddingResponse->data[di].data = (double *)malloc(l * sizeof(double));
OPENAI_ERROR_CHECK_GOTO(_embeddingResponse->data[di].data != NULL, "Embedding could not be allocated", end);
_embeddingResponse->len++;
_embeddingResponse->data[di].len = l;
for (int i = 0; i < l; i++) {
cJSON *item = cJSON_GetArrayItem(numberArray, i);
OPENAI_ERROR_CHECK_GOTO(item != NULL, "Embedding item could not be read", end)
_embeddingResponse->data[di].data[i] = cJSON_GetNumberValue(item);
}
}
_embeddingResponse->parent.getUsage = &OpenAI_EmbeddingResponseGetUsage;
_embeddingResponse->parent.getLen = &OpenAI_EmbeddingResponseGetLen;
_embeddingResponse->parent.getData = &OpenAI_EmbeddingResponseGetDate;
_embeddingResponse->parent.getError = &OpenAI_EmbeddingResponseGetError;
_embeddingResponse->parent.deleteResponse = &OpenAI_EmbeddingResponseDelete;
cJSON_Delete(json);
return &_embeddingResponse->parent;
end:
if (json != NULL) {
cJSON_Delete(json);
}
OpenAI_EmbeddingResponseDelete(&_embeddingResponse->parent);
return NULL;
}
//
// OpenAI_ModerationResponse
//
typedef struct {
OpenAI_ModerationResponse_t parent;
uint32_t len;
bool *data;
char *error_str;
} _OpenAI_ModerationResponse_t;
static void OpenAI_ModerationResponseDelete(OpenAI_ModerationResponse_t *moderationResponse)
{
_OpenAI_ModerationResponse_t *_moderationResponse = __containerof(moderationResponse, _OpenAI_ModerationResponse_t, parent);
if (_moderationResponse != NULL) {
if (_moderationResponse->data) {
free(_moderationResponse->data);
_moderationResponse->data = NULL;
}
if (_moderationResponse->error_str != NULL) {
free(_moderationResponse->error_str);
_moderationResponse->error_str = NULL;
}
free(_moderationResponse);
_moderationResponse = NULL;
}
}
static uint32_t OpenAI_ModerationResponseGetLen(struct OpenAI_ModerationResponse *moderationResponse)
{
_OpenAI_ModerationResponse_t *_moderationResponse = __containerof(moderationResponse, _OpenAI_ModerationResponse_t, parent);
return _moderationResponse->len;
}
static bool OpenAI_ModerationResponseGetDate(struct OpenAI_ModerationResponse *moderationResponse, uint32_t index)
{
_OpenAI_ModerationResponse_t *_moderationResponse = __containerof(moderationResponse, _OpenAI_ModerationResponse_t, parent);
if (index < _moderationResponse->len) {
return _moderationResponse->data[index];
}
return false;
}
static char *OpenAI_ModerationResponseGetError(struct OpenAI_ModerationResponse *moderationResponse)
{
_OpenAI_ModerationResponse_t *_moderationResponse = __containerof(moderationResponse, _OpenAI_ModerationResponse_t, parent);
return _moderationResponse->error_str;
}
static OpenAI_ModerationResponse_t *OpenAI_ModerationResponseCreate(const char *payload)
{
cJSON *d;
int dl;
_OpenAI_ModerationResponse_t *_moderationResponse = (_OpenAI_ModerationResponse_t *)calloc(1, sizeof(_OpenAI_ModerationResponse_t));
OPENAI_ERROR_CHECK(NULL != _moderationResponse, "calloc failed!", NULL);
if (payload == NULL) {
return &_moderationResponse->parent;
}
// Parse payload
cJSON *json = cJSON_Parse(payload);
char *error = getJsonError(json);
if (error != NULL) {
_moderationResponse->error_str = error;
ESP_LOGE(TAG, "Error: %s", error);
goto end;
}
// Parse data
OPENAI_ERROR_CHECK_GOTO(cJSON_HasObjectItem(json, "results"), "Data was not found", end);
d = cJSON_GetObjectItem(json, "results");
if (d == NULL || !cJSON_IsArray(d)) {
ESP_LOGE(TAG, "Results is not array");
goto end;
}
dl = cJSON_GetArraySize(d);
OPENAI_ERROR_CHECK_GOTO(dl > 0, "Results is empty", end);
_moderationResponse->data = (bool *)malloc(dl * sizeof(bool));
OPENAI_ERROR_CHECK_GOTO(_moderationResponse->data != NULL, "Data could not be allocated", end);
_moderationResponse->len = dl;
for (int di = 0; di < dl; di++) {
cJSON *ditem = cJSON_GetArrayItem(d, di);
if (ditem == NULL || !cJSON_IsObject(ditem) || !cJSON_HasObjectItem(ditem, "flagged")) {
ESP_LOGE(TAG, "Flagged was not found");
goto end;
}
cJSON *flagged = cJSON_GetObjectItem(ditem, "flagged");
if (flagged == NULL || !cJSON_IsBool(flagged)) {
ESP_LOGE(TAG, "Flagged is not bool");
goto end;
}
}
cJSON_Delete(json);
_moderationResponse->parent.getLen = &OpenAI_ModerationResponseGetLen;
_moderationResponse->parent.getData = &OpenAI_ModerationResponseGetDate;
_moderationResponse->parent.getError = &OpenAI_ModerationResponseGetError;
_moderationResponse->parent.deleteResponse = &OpenAI_ModerationResponseDelete;
return &_moderationResponse->parent;
end:
cJSON_Delete(json);
OpenAI_ModerationResponseDelete(&_moderationResponse->parent);
return NULL;
}
//
// OpenAI_ImageResponse
//
typedef struct {
OpenAI_ImageResponse_t parent;
uint32_t len;
char **data;
char *error_str;
} _OpenAI_ImageResponse_t;
static void OpenAI_ImageResponseDelete(OpenAI_ImageResponse_t *imageResponse)
{
_OpenAI_ImageResponse_t *_imageResponse = __containerof(imageResponse, _OpenAI_ImageResponse_t, parent);
if (_imageResponse != NULL) {
if (_imageResponse->data) {
for (int di = 0; di < _imageResponse->len; di++) {
if (_imageResponse->data[di] != NULL) {
free(_imageResponse->data[di]);
_imageResponse->data[di] = NULL;
}
}
free(_imageResponse->data);
_imageResponse->data = NULL;
}
if (_imageResponse->error_str != NULL) {
free(_imageResponse->error_str);
_imageResponse->error_str = NULL;
}
free(_imageResponse);
_imageResponse = NULL;
}
}
static uint32_t OpenAI_ImageResponseGetLen(OpenAI_ImageResponse_t *imageResponse)
{
_OpenAI_ImageResponse_t *_imageResponse = __containerof(imageResponse, _OpenAI_ImageResponse_t, parent);
return _imageResponse->len;
}
static char *OpenAI_ImageResponseGetDate(OpenAI_ImageResponse_t *imageResponse, uint32_t index)
{
_OpenAI_ImageResponse_t *_imageResponse = __containerof(imageResponse, _OpenAI_ImageResponse_t, parent);
if (index < _imageResponse->len) {
return _imageResponse->data[index];
}
return NULL;
}
static char *OpenAI_ImageResponseGetError(OpenAI_ImageResponse_t *imageResponse)
{
_OpenAI_ImageResponse_t *_imageResponse = __containerof(imageResponse, _OpenAI_ImageResponse_t, parent);
return _imageResponse->error_str;
}
OpenAI_ImageResponse_t *OpenAI_ImageResponseCreate(const char *payload)
{
cJSON *d;
int dl;
_OpenAI_ImageResponse_t *_imageResponse = (_OpenAI_ImageResponse_t *)calloc(1, sizeof(_OpenAI_ImageResponse_t));
OPENAI_ERROR_CHECK(NULL != _imageResponse, "calloc failed!", NULL);
if (payload == NULL) {
return &_imageResponse->parent;
}
// Parse payload
cJSON *json = cJSON_Parse(payload);
// Check for error
char *error = getJsonError(json);
if (error != NULL) {
_imageResponse->error_str = error;
ESP_LOGE(TAG, "Error: %s", error);
goto end;
}
// Parse data
OPENAI_ERROR_CHECK_GOTO(cJSON_HasObjectItem(json, "data"), "Data was not found", end);
d = cJSON_GetObjectItem(json, "data");
if (d == NULL || !cJSON_IsArray(d)) {
ESP_LOGE(TAG, "Data is not array");
goto end;
}
dl = cJSON_GetArraySize(d);
OPENAI_ERROR_CHECK_GOTO(dl > 0, "Data is empty", end);
_imageResponse->data = (char **)malloc(dl * sizeof(char *));
OPENAI_ERROR_CHECK_GOTO(_imageResponse->data != NULL, "Data could not be allocated", end);
for (int di = 0; di < dl; di++) {
cJSON *item = cJSON_GetArrayItem(d, di);
if (item == NULL || !cJSON_IsObject(item) || (!cJSON_HasObjectItem(item, "url") && !cJSON_HasObjectItem(item, "b64_json"))) {
ESP_LOGE(TAG, "Image was not found");
goto end;
}
if (cJSON_HasObjectItem(item, "url")) {
cJSON *url = cJSON_GetObjectItem(item, "url");
if (url == NULL || !cJSON_IsString(url)) {
ESP_LOGE(TAG, "Image url could not be read");
goto end;
}
_imageResponse->data[di] = strdup(cJSON_GetStringValue(url));
if (_imageResponse->data[di] == NULL) {
ESP_LOGE(TAG, "Image url could not be copied");
goto end;
}
_imageResponse->len++;
} else if (cJSON_HasObjectItem(item, "b64_json")) {
cJSON *b64_json = cJSON_GetObjectItem(item, "b64_json");
if (b64_json == NULL || !cJSON_IsString(b64_json)) {
ESP_LOGE(TAG, "Image b64_json could not be read");
goto end;
}
_imageResponse->data[di] = strdup(cJSON_GetStringValue(b64_json));
if (_imageResponse->data[di] == NULL) {
ESP_LOGE(TAG, "Image b64_json could not be copied");
goto end;
}
_imageResponse->len++;
}
}
cJSON_Delete(json);
_imageResponse->parent.getLen = &OpenAI_ImageResponseGetLen;
_imageResponse->parent.getData = &OpenAI_ImageResponseGetDate;
_imageResponse->parent.getError = &OpenAI_ImageResponseGetError;
_imageResponse->parent.deleteResponse = &OpenAI_ImageResponseDelete;
return &_imageResponse->parent;
end:
cJSON_Delete(json);
OpenAI_ImageResponseDelete(&_imageResponse->parent);
return NULL;
}
//
// OpenAI_StringResponse
//
typedef struct {
OpenAI_StringResponse_t parent;
uint32_t usage;
uint32_t len;
char **data;
char *error_str;
} _OpenAI_StringResponse_t;
static void OpenAI_StringResponseDelete(OpenAI_StringResponse_t *stringResponse)
{
_OpenAI_StringResponse_t *_stringResponse = __containerof(stringResponse, _OpenAI_StringResponse_t, parent);
if (_stringResponse != NULL) {
if (_stringResponse->data) {
for (int di = 0; di < _stringResponse->len; di++) {
if (_stringResponse->data[di] != NULL) {
free(_stringResponse->data[di]);
_stringResponse->data[di] = NULL;
}
}
free(_stringResponse->data);
_stringResponse->data = NULL;
}
if (_stringResponse->error_str != NULL) {
free(_stringResponse->error_str);
_stringResponse->error_str = NULL;
}
free(_stringResponse);
_stringResponse = NULL;
}
}
static uint32_t OpenAI_StringResponseGetUsage(OpenAI_StringResponse_t *stringResponse)
{
_OpenAI_StringResponse_t *_stringResponse = __containerof(stringResponse, _OpenAI_StringResponse_t, parent);
return _stringResponse->usage;
}
static uint32_t OpenAI_StringResponseGetLen(OpenAI_StringResponse_t *stringResponse)
{
_OpenAI_StringResponse_t *_stringResponse = __containerof(stringResponse, _OpenAI_StringResponse_t, parent);
return _stringResponse->len;
}
static char *OpenAI_StringResponseGetDate(OpenAI_StringResponse_t *stringResponse, uint32_t index)
{
_OpenAI_StringResponse_t *_stringResponse = __containerof(stringResponse, _OpenAI_StringResponse_t, parent);
if (index < _stringResponse->len) {
return _stringResponse->data[index];
}
return NULL;
}
static char *OpenAI_StringResponseGetError(OpenAI_StringResponse_t *stringResponse)
{
_OpenAI_StringResponse_t *_stringResponse = __containerof(stringResponse, _OpenAI_StringResponse_t, parent);
return _stringResponse->error_str;
}
static OpenAI_StringResponse_t *OpenAI_StringResponseCreate(char *payload)
{
cJSON *u, *tokens, *d;
int dl;
_OpenAI_StringResponse_t *_stringResponse = (_OpenAI_StringResponse_t *)calloc(1, sizeof(_OpenAI_StringResponse_t));
OPENAI_ERROR_CHECK(NULL != _stringResponse, "calloc failed!", NULL);
if (payload == NULL) {
return &_stringResponse->parent;
}
// Parse payload
cJSON *json = cJSON_Parse(payload);
// Check for error
char *error = getJsonError(json);
if (error != NULL) {
_stringResponse->error_str = error;
ESP_LOGE(TAG, "Error: %s", error);
goto end;
}
// Get total_tokens
OPENAI_ERROR_CHECK_GOTO(cJSON_HasObjectItem(json, "usage"), "Usage was not found", end);
u = cJSON_GetObjectItem(json, "usage");
if (u == NULL || !cJSON_IsObject(u) || !cJSON_HasObjectItem(u, "total_tokens")) {
ESP_LOGE(TAG, "Total tokens were not found");
goto end;
}
tokens = cJSON_GetObjectItem(u, "total_tokens");
OPENAI_ERROR_CHECK_GOTO(tokens != NULL, "Total tokens could not be read", end);
_stringResponse->usage = cJSON_GetNumberValue(tokens);
// Parse data
OPENAI_ERROR_CHECK_GOTO(cJSON_HasObjectItem(json, "choices"), "Choices was not found", end);
d = cJSON_GetObjectItem(json, "choices");
if (d == NULL || !cJSON_IsArray(d)) {
ESP_LOGE(TAG, "Choices is not array");
goto end;
}
dl = cJSON_GetArraySize(d);
OPENAI_ERROR_CHECK_GOTO(dl > 0, "Choices is empty", end);
_stringResponse->data = (char **)malloc(dl * sizeof(char *));
OPENAI_ERROR_CHECK_GOTO(_stringResponse->data != NULL, "Data could not be allocated", end);
for (int di = 0; di < dl; di++) {
cJSON *item = cJSON_GetArrayItem(d, di);
if (item == NULL || !cJSON_IsObject(item) || (!cJSON_HasObjectItem(item, "text") && !cJSON_HasObjectItem(item, "message"))) {
ESP_LOGE(TAG, "Message was not found");
goto end;
}
if (cJSON_HasObjectItem(item, "text")) {
cJSON *text = cJSON_GetObjectItem(item, "text");
if (text == NULL || !cJSON_IsString(text)) {
ESP_LOGE(TAG, "Text could not be read");
goto end;
}
_stringResponse->data[di] = strdup(cJSON_GetStringValue(text));
OPENAI_ERROR_CHECK_GOTO(_stringResponse->data[di] != NULL, "Text could not be copied", end);
_stringResponse->len++;
} else if (cJSON_HasObjectItem(item, "message")) {
cJSON *message = cJSON_GetObjectItem(item, "message");
if (message == NULL || !cJSON_IsObject(message) || !cJSON_HasObjectItem(message, "content")) {
ESP_LOGE(TAG, "Message is not object");
goto end;
}
cJSON *mesg = cJSON_GetObjectItem(message, "content");
if (mesg == NULL || !cJSON_IsString(mesg)) {
ESP_LOGE(TAG, "Message could not be read");
goto end;
}
_stringResponse->data[di] = strdup(cJSON_GetStringValue(mesg));
OPENAI_ERROR_CHECK_GOTO(_stringResponse->data[di] != NULL, "Message could not be copied", end);
_stringResponse->len = di + 1;
}
}
cJSON_Delete(json);
free(payload);
_stringResponse->parent.getUsage = &OpenAI_StringResponseGetUsage;
_stringResponse->parent.getLen = &OpenAI_StringResponseGetLen;
_stringResponse->parent.getData = &OpenAI_StringResponseGetDate;
_stringResponse->parent.getError = &OpenAI_StringResponseGetError;
_stringResponse->parent.deleteResponse = &OpenAI_StringResponseDelete;
return &_stringResponse->parent;
end:
cJSON_Delete(json);
free(payload);
OpenAI_StringResponseDelete(&_stringResponse->parent);
return NULL;
}
// completions { //Creates a completion for the provided prompt and parameters
// "model": "text-davinci-003",//required
// "prompt": "<|endoftext|>",//string, array of strings, array of tokens, or array of token arrays.
// "max_tokens": 16,//integer. The maximum number of tokens to generate in the completion.
// "temperature": 1,//float between 0 and 2
// "top_p": 1,//float between 0 and 1. recommended to alter this or temperature but not both.
// "n": 1,//integer. How many completions to generate for each prompt.
// "stream": false,//boolean. Whether to stream back partial progress. keep false
// "logprobs": null,//integer. Include the log probabilities on the logprobs most likely tokens, as well the chosen tokens.
// "echo": false,//boolean. Echo back the prompt in addition to the completion
// "stop": null,//string or array. Up to 4 sequences where the API will stop generating further tokens.
// "presence_penalty": 0,//float between -2.0 and 2.0. Positive values penalize new tokens based on whether they appear in the text so far, increasing the model's likelihood to talk about new topics.
// "frequency_penalty": 0,//float between -2.0 and 2.0. Positive values penalize new tokens based on their existing frequency in the text so far, decreasing the model's likelihood to repeat the same line verbatim.
// "best_of": 1,//integer. Generates best_of completions server-side and returns the "best". best_of must be greater than n
// "logit_bias": null,//map. Modify the likelihood of specified tokens appearing in the completion.
// "user": null//string. A unique identifier representing your end-user, which can help OpenAI to monitor and detect abuse.
// }
/**
* @brief Given a prompt, the model will return one or more predicted completions,
* and can also return the probabilities of alternative tokens at each position.
*
*/
typedef struct {
OpenAI_Completion_t parent; /*!< Parent object */
_OpenAI_t *oai; /*!< Pointer to the OpenAI object */
char *model; /*!< ID of the model to use. */
uint32_t max_tokens; /*!< The maximum number of tokens to generate in the completion. */
float temperature; /*!< float between 0 and 2. Higher value gives more random results. */
float top_p; /*!< An alternative to sampling with temperature, called nucleus sampling, where the model considers the results of the tokens with top_p probability mass. So 0.1 means only the tokens comprising the top 10% probability mass are considered. */
uint32_t n; /*!< How many completions to generate for each prompt. */
bool echo; /*!< Echo back the prompt in addition to the completion */
char *stop; /*!< Up to 4 sequences where the API will stop generating further tokens. The returned text will not contain the stop sequence. */
float presence_penalty; /*!< Number between -2.0 and 2.0. Positive values penalize new tokens based on whether they appear in the text so far, increasing the model's likelihood to talk about new topics. */
float frequency_penalty; /*!< Number between -2.0 and 2.0. Positive values penalize new tokens based on their existing frequency in the text so far, decreasing the model's likelihood to repeat the same line verbatim. */
uint32_t best_of; /*!< Generates best_of completions server-side and returns the "best" (the one with the highest log probability per token). Results cannot be streamed.
When used with n, best_of controls the number of candidate completions and n specifies how many to return – best_of must be greater than n.*/
char *user; /*!< A unique identifier representing your end-user, which can help OpenAI to monitor and detect abuse. */
} _OpenAI_Completion_t;
static void OpenAI_CompletionDelete(OpenAI_Completion_t *completion)
{
_OpenAI_Completion_t *_completion = __containerof(completion, _OpenAI_Completion_t, parent);
if (_completion != NULL) {
if (_completion->model != NULL) {
free(_completion->model);
_completion->model = NULL;
}
if (_completion->stop != NULL) {
free(_completion->stop);
_completion->stop = NULL;
}
if (_completion->user != NULL) {
free(_completion->user);
_completion->user = NULL;
}
free(_completion);
_completion = NULL;
}
}
static void OpenAI_CompletionSetModel(OpenAI_Completion_t *completion, const char *m)
{
_OpenAI_Completion_t *_completion = __containerof(completion, _OpenAI_Completion_t, parent);
if (_completion->model != NULL) {
free(_completion->model);
_completion->model = NULL;
}
_completion->model = strdup(m);
}
static void OpenAI_CompletionSetMaxTokens(OpenAI_Completion_t *completion, uint32_t mt)
{
_OpenAI_Completion_t *_completion = __containerof(completion, _OpenAI_Completion_t, parent);
if (mt > 0) {
_completion->max_tokens = mt;
}
}
static void OpenAI_CompletionSetTemperature(OpenAI_Completion_t *completion, float t)
{
_OpenAI_Completion_t *_completion = __containerof(completion, _OpenAI_Completion_t, parent);
if (t >= 0 && t <= 2.0) {
_completion->temperature = t;
}
}
static void OpenAI_CompletionSetTopP(OpenAI_Completion_t *completion, float tp)
{
_OpenAI_Completion_t *_completion = __containerof(completion, _OpenAI_Completion_t, parent);
if (tp >= 0 && tp <= 1.0) {
_completion->top_p = tp;
}
}
static void OpenAI_CompletionSetN(OpenAI_Completion_t *completion, uint32_t n)
{
_OpenAI_Completion_t *_completion = __containerof(completion, _OpenAI_Completion_t, parent);
if (n > 0) {
_completion->n = n;
}
}
static void OpenAI_CompletionSetEcho(OpenAI_Completion_t *completion, bool e)
{
_OpenAI_Completion_t *_completion = __containerof(completion, _OpenAI_Completion_t, parent);
_completion->echo = e;
}
static void OpenAI_CompletionSetStop(OpenAI_Completion_t *completion, const char *s)
{
_OpenAI_Completion_t *_completion = __containerof(completion, _OpenAI_Completion_t, parent);
if (_completion->stop != NULL) {
free(_completion->stop);
_completion->stop = NULL;
}
_completion->stop = strdup(s);
}
static void OpenAI_CompletionSetPresencePenalty(OpenAI_Completion_t *completion, float pp)
{
_OpenAI_Completion_t *_completion = __containerof(completion, _OpenAI_Completion_t, parent);
if (pp >= -2.0 && pp <= 2.0) {
_completion->presence_penalty = pp;
}
}
static void OpenAI_CompletionSetFrequencyPenalty(OpenAI_Completion_t *completion, float fp)
{
_OpenAI_Completion_t *_completion = __containerof(completion, _OpenAI_Completion_t, parent);
if (fp >= -2.0 && fp <= 2.0) {
_completion->frequency_penalty = fp;
}
}
static void OpenAI_CompletionSetBestOf(OpenAI_Completion_t *completion, uint32_t bo)
{
_OpenAI_Completion_t *_completion = __containerof(completion, _OpenAI_Completion_t, parent);
if (bo > 0) {
_completion->best_of = bo;
}
}
static void OpenAI_CompletionSetUser(OpenAI_Completion_t *completion, const char *u)
{
_OpenAI_Completion_t *_completion = __containerof(completion, _OpenAI_Completion_t, parent);
if (_completion->user != NULL) {
free(_completion->user);
_completion->user = NULL;
}
_completion->user = strdup(u);
}
static OpenAI_StringResponse_t *OpenAI_CompletionPrompt(OpenAI_Completion_t *completion, char *p)
{
_OpenAI_Completion_t *_completion = __containerof(completion, _OpenAI_Completion_t, parent);
const char *endpoint = "completions";
OpenAI_StringResponse_t *result = NULL;
cJSON *req = cJSON_CreateObject();
OPENAI_ERROR_CHECK(req != NULL, "cJSON_CreateObject failed!", NULL);
reqAddString("model", (_completion->model == NULL) ? "text-davinci-003" : _completion->model);
if (strncmp(p, "[", 1) == 0) {
cJSON *in = cJSON_Parse(p);
if (in == NULL || !cJSON_IsArray(in)) {
ESP_LOGE(TAG, "Input not JSON Array!");
cJSON_Delete(req);
return NULL;
}
reqAddItem("prompt", in);
} else {
reqAddString("prompt", p);
}
if (_completion->max_tokens) {
reqAddNumber("max_tokens", _completion->max_tokens);
}
if (_completion->temperature != 1) {
reqAddNumber("temperature", _completion->temperature);
}
if (_completion->top_p != 1) {
reqAddNumber("top_p", _completion->top_p);
}
if (_completion->n != 1) {
reqAddNumber("n", _completion->n);
}
if (_completion->echo) {
reqAddBool("echo", true);
}
if (_completion->stop != NULL) {
reqAddString("stop", _completion->stop);
}
if (_completion->presence_penalty != 0) {
reqAddNumber("presence_penalty", _completion->presence_penalty);
}
if (_completion->frequency_penalty != 0) {
reqAddNumber("frequency_penalty", _completion->frequency_penalty);
}
if (_completion->best_of != 1) {
reqAddNumber("best_of", _completion->best_of);
}
if (_completion->user != NULL) {
reqAddString("user", _completion->user);
}
char *jsonBody = cJSON_Print(req);
cJSON_Delete(req);
char *res = _completion->oai->post(_completion->oai->base_url, _completion->oai->api_key, endpoint, jsonBody);
free(jsonBody);
OPENAI_ERROR_CHECK(res != NULL, "OpenAI API call failed", NULL);
return OpenAI_StringResponseCreate(res);
}
static OpenAI_Completion_t *OpenAI_CompletionCreate(OpenAI_t *openai)
{
_OpenAI_Completion_t *_completion = (_OpenAI_Completion_t *)calloc(1, sizeof(_OpenAI_Completion_t));
OPENAI_ERROR_CHECK(_completion != NULL, "Completion could not be allocated", NULL);
_completion->oai = __containerof(openai, _OpenAI_t, parent);
_completion->max_tokens = 1;
_completion->top_p = 1;
_completion->n = 1;
_completion->best_of = 1;
_completion->parent.setModel = &OpenAI_CompletionSetModel;
_completion->parent.setMaxTokens = &OpenAI_CompletionSetMaxTokens;
_completion->parent.setTemperature = &OpenAI_CompletionSetTemperature;
_completion->parent.setTopP = &OpenAI_CompletionSetTopP;
_completion->parent.setN = &OpenAI_CompletionSetN;
_completion->parent.setEcho = &OpenAI_CompletionSetEcho;
_completion->parent.setStop = &OpenAI_CompletionSetStop;
_completion->parent.setPresencePenalty = &OpenAI_CompletionSetPresencePenalty;
_completion->parent.setFrequencyPenalty = &OpenAI_CompletionSetFrequencyPenalty;
_completion->parent.setBestOf = &OpenAI_CompletionSetBestOf;
_completion->parent.setUser = &OpenAI_CompletionSetUser;
_completion->parent.prompt = &OpenAI_CompletionPrompt;
return &_completion->parent;
}
// chat/completions { //Given a chat conversation, the model will return a chat completion response.
// "model": "gpt-3.5-turbo",//required
// "messages": [//required array
// {"role": "system", "content": "Description of the required assistant"},
// {"role": "user", "content": "First question from the user"},
// {"role": "assistant", "content": "Response from the assistant"},
// {"role": "user", "content": "Next question from the user to be answered"}
// ],
// "temperature": 1,//float between 0 and 2
// "top_p": 1,//float between 0 and 1. recommended to alter this or temperature but not both.
// "stream": false,//boolean. Whether to stream back partial progress. keep false
// "stop": null,//string or array. Up to 4 sequences where the API will stop generating further tokens.
// "max_tokens": 16,//integer. The maximum number of tokens to generate in the completion.
// "presence_penalty": 0,//float between -2.0 and 2.0. Positive values penalize new tokens based on whether they appear in the text so far, increasing the model's likelihood to talk about new topics.
// "frequency_penalty": 0,//float between -2.0 and 2.0. Positive values penalize new tokens based on their existing frequency in the text so far, decreasing the model's likelihood to repeat the same line verbatim.
// "logit_bias": null,//map. Modify the likelihood of specified tokens appearing in the completion.
// "user": null//string. A unique identifier representing your end-user, which can help OpenAI to monitor and detect abuse.
// }
typedef struct {
OpenAI_ChatCompletion_t parent; /*!< Parent object */
_OpenAI_t *oai; /*!< Pointer to the OpenAI object */
cJSON *messages; /*!< Array of messages */
char *model; /*!< ID of the model to use. */
char *description; /*!< The description of what the function does.. */
uint32_t max_tokens; /*!< The maximum number of tokens to generate in the chat completion. */
float temperature; /*!< float between 0 and 2. Higher value gives more random results. */
float top_p; /*!< An alternative to sampling with temperature, called nucleus sampling,
where the model considers the results of the tokens with top_p probability mass.
So 0.1 means only the tokens comprising the top 10% probability mass are considered. */
char *stop; /*!< Up to 4 sequences where the API will stop generating further tokens. */
float presence_penalty; /*!< Number between -2.0 and 2.0. Positive values penalize new tokens based on whether they
appear in the text so far, increasing the model's likelihood to talk about new topics. */
float frequency_penalty; /*!< Number between -2.0 and 2.0. Positive values penalize new tokens based on their existing
frequency in the text so far, decreasing the model's likelihood to repeat the same line verbatim. */
char *user; /*!< A unique identifier representing your end-user, which can help OpenAI to monitor and detect abuse. */
} _OpenAI_ChatCompletion_t;
static void OpenAI_ChatCompletionDelete(OpenAI_ChatCompletion_t *chatCompletion)
{
_OpenAI_ChatCompletion_t *_chatCompletion = __containerof(chatCompletion, _OpenAI_ChatCompletion_t, parent);
if (_chatCompletion != NULL) {
if (_chatCompletion->model != NULL) {
free(_chatCompletion->model);
_chatCompletion->model = NULL;
}
if (_chatCompletion->description != NULL) {
free(_chatCompletion->description);
_chatCompletion->description = NULL;
}
if (_chatCompletion->stop != NULL) {
free(_chatCompletion->stop);
_chatCompletion->stop = NULL;
}
if (_chatCompletion->user != NULL) {
free(_chatCompletion->user);
_chatCompletion->user = NULL;
}
if (_chatCompletion->messages != NULL) {
cJSON_Delete(_chatCompletion->messages);
_chatCompletion->messages = NULL;
}
free(_chatCompletion);
_chatCompletion = NULL;
}
}
static void OpenAI_ChatCompletionSetModel(OpenAI_ChatCompletion_t *chatCompletion, const char *m)
{
_OpenAI_ChatCompletion_t *_chatCompletion = __containerof(chatCompletion, _OpenAI_ChatCompletion_t, parent);
if (_chatCompletion->model != NULL) {
free(_chatCompletion->model);
}
_chatCompletion->model = strdup(m);
}
static void OpenAI_ChatCompletionSetSystem(OpenAI_ChatCompletion_t *chatCompletion, const char *s)
{
_OpenAI_ChatCompletion_t *_chatCompletion = __containerof(chatCompletion, _OpenAI_ChatCompletion_t, parent);
if (_chatCompletion->description != NULL) {
free(_chatCompletion->description);
}
_chatCompletion->description = strdup(s);
}
static void OpenAI_ChatCompletionSetMaxTokens(OpenAI_ChatCompletion_t *chatCompletion, uint32_t mt)
{
_OpenAI_ChatCompletion_t *_chatCompletion = __containerof(chatCompletion, _OpenAI_ChatCompletion_t, parent);
if (mt > 0) {
_chatCompletion->max_tokens = mt;
}
}