da43c27003
Bring back two-layer configuration: build-time defaults from mimi_secrets.h with runtime NVS overrides via serial CLI. NVS values take highest priority so a pre-flashed board can be reconfigured anywhere with just a USB cable. Restored CLI commands: wifi_set, set_tg_token, set_api_key, set_model, set_proxy, clear_proxy, set_search_key. Added new commands: config_show (displays all config with sensitive fields masked), config_reset (clears all NVS overrides), and help (lists all commands). Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
69 lines
2.2 KiB
C
69 lines
2.2 KiB
C
#pragma once
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#include "esp_err.h"
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#include "cJSON.h"
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#include <stddef.h>
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#include <stdbool.h>
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#include "mimi_config.h"
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/**
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* Initialize the LLM proxy. Reads API key and model from build-time secrets, then NVS.
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*/
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esp_err_t llm_proxy_init(void);
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/**
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* Save the Anthropic API key to NVS.
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*/
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esp_err_t llm_set_api_key(const char *api_key);
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/**
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* Save the model identifier to NVS.
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*/
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esp_err_t llm_set_model(const char *model);
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/**
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* Send a chat completion request to Anthropic Messages API (streaming).
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*
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* @param system_prompt System prompt string
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* @param messages_json JSON array of messages: [{"role":"user","content":"..."},...]
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* @param response_buf Output buffer for the complete response text
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* @param buf_size Size of response_buf
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* @return ESP_OK on success
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*/
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esp_err_t llm_chat(const char *system_prompt, const char *messages_json,
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char *response_buf, size_t buf_size);
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/* ── Tool Use Support ──────────────────────────────────────────── */
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typedef struct {
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char id[64]; /* "toolu_xxx" */
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char name[32]; /* "web_search" */
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char *input; /* heap-allocated JSON string */
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size_t input_len;
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} llm_tool_call_t;
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typedef struct {
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char *text; /* accumulated text blocks */
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size_t text_len;
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llm_tool_call_t calls[MIMI_MAX_TOOL_CALLS];
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int call_count;
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bool tool_use; /* stop_reason == "tool_use" */
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} llm_response_t;
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void llm_response_free(llm_response_t *resp);
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/**
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* Send a chat completion request with tools to Anthropic Messages API (streaming).
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*
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* @param system_prompt System prompt string
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* @param messages cJSON array of messages (caller owns)
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* @param tools_json Pre-built JSON string of tools array, or NULL for no tools
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* @param resp Output: structured response with text and tool calls
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* @return ESP_OK on success
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*/
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esp_err_t llm_chat_tools(const char *system_prompt,
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cJSON *messages,
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const char *tools_json,
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llm_response_t *resp);
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