{ "session_id": "20260515_030011_5f2fc9", "model": "deepseek-v4-pro", "base_url": "https://api.deepseek.com", "platform": "discord", "session_start": "2026-05-15T03:00:11.008087", "last_updated": "2026-05-15T03:02:40.845279", "system_prompt": "You are Hermes Agent, an intelligent AI assistant created by Nous Research. You are helpful, knowledgeable, and direct. You assist users with a wide range of tasks including answering questions, writing and editing code, analyzing information, creative work, and executing actions via your tools. You communicate clearly, admit uncertainty when appropriate, and prioritize being genuinely useful over being verbose unless otherwise directed below. Be targeted and efficient in your exploration and investigations.\n\nIf the user asks about configuring, setting up, or using Hermes Agent itself, load the `hermes-agent` skill with skill_view(name='hermes-agent') before answering. Docs: https://hermes-agent.nousresearch.com/docs\n\nHost: Linux (6.17.0-1011-oracle)\nUser home directory: /home/ubuntu\nCurrent working directory: /home/ubuntu/.hermes/hermes-agent\n\nYou are in a Discord server or group chat communicating with your user. You can send media files natively: include MEDIA:/absolute/path/to/file in your response. Images (.png, .jpg, .webp) are sent as photo attachments, audio as file attachments. You can also include image URLs in markdown format ![alt](url) and they will be sent as attachments.\n\nConversation started: Friday, May 15, 2026 03:00 AM\nModel: deepseek-v4-pro\nProvider: deepseek", "tools": [ { "type": "function", "function": { "name": "mcp_context7_query_docs", "description": "Retrieves and queries up-to-date documentation and code examples from Context7 for any programming library or framework.\n\nYou must call 'Resolve Context7 Library ID' tool first to obtain the exact Context7-compatible library ID required to use this tool, UNLESS the user explicitly provides a library ID in the format '/org/project' or '/org/project/version' in their query.\n\nDo not call this tool more than 3 times per question.", "parameters": { "$schema": "http://json-schema.org/draft-07/schema#", "type": "object", "properties": { "libraryId": { "type": "string", "description": "Exact Context7-compatible library ID (e.g., '/mongodb/docs', '/vercel/next.js', '/supabase/supabase', '/vercel/next.js/v14.3.0-canary.87') retrieved from 'resolve-library-id' or directly from user query in the format '/org/project' or '/org/project/version'." }, "query": { "type": "string", "description": "The question or task you need help with. Be specific and include relevant details. Good: 'How to set up authentication with JWT in Express.js' or 'React useEffect cleanup function examples'. Bad: 'auth' or 'hooks'. The query is sent to the Context7 API for processing. Do not include any sensitive or confidential information such as API keys, passwords, credentials, personal data, or proprietary code in your query." } }, "required": [ "libraryId", "query" ] } } }, { "type": "function", "function": { "name": "mcp_context7_resolve_library_id", "description": "Resolves a package/product name to a Context7-compatible library ID and returns matching libraries.\n\nYou MUST call this function before 'Query Documentation' tool to obtain a valid Context7-compatible library ID UNLESS the user explicitly provides a library ID in the format '/org/project' or '/org/project/version' in their query.\n\nEach result includes:\n- Library ID: Context7-compatible identifier (format: /org/project)\n- Name: Library or package name\n- Description: Short summary\n- Code Snippets: Number of available code examples\n- Source Reputation: Authority indicator (High, Medium, Low, or Unknown)\n- Benchmark Score: Quality indicator (100 is the highest score)\n- Versions: List of versions if available. Use one of those versions if the user provides a version in their query. The format of the version is /org/project/version.\n\nFor best results, select libraries based on name match, source reputation, snippet coverage, benchmark score, and relevance to your use case.\n\nSelection Process:\n1. Analyze the query to understand what library/package the user is looking for\n2. Return the most relevant match based on:\n- Name similarity to the query (exact matches prioritized)\n- Description relevance to the query's intent\n- Documentation coverage (prioritize libraries with higher Code Snippet counts)\n- Source reputation (consider libraries with High or Medium reputation more authoritative)\n- Benchmark Score: Quality indicator (100 is the highest score)\n\nResponse Format:\n- Return the selected library ID in a clearly marked section\n- Provide a brief explanation for why this library was chosen\n- If multiple good matches exist, acknowledge this but proceed with the most relevant one\n- If no good matches exist, clearly state this and suggest query refinements\n\nFor ambiguous queries, request clarification before proceeding with a best-guess match.\n\nIMPORTANT: Do not call this tool more than 3 times per question. If you cannot find what you need after 3 calls, use the best result you have.", "parameters": { "$schema": "http://json-schema.org/draft-07/schema#", "type": "object", "properties": { "query": { "type": "string", "description": "The question or task you need help with. This is used to rank library results by relevance to what the user is trying to accomplish. The query is sent to the Context7 API for processing. Do not include any sensitive or confidential information such as API keys, passwords, credentials, personal data, or proprietary code in your query." }, "libraryName": { "type": "string", "description": "Library name to search for and retrieve a Context7-compatible library ID. Use the official library name with proper punctuation — e.g., 'Next.js' instead of 'nextjs', 'Customer.io' instead of 'customerio', 'Three.js' instead of 'threejs'." } }, "required": [ "query", "libraryName" ] } } }, { "type": "function", "function": { "name": "process", "description": "Manage background processes started with terminal(background=true). Actions: 'list' (show all), 'poll' (check status + new output), 'log' (full output with pagination), 'wait' (block until done or timeout), 'kill' (terminate), 'write' (send raw stdin data without newline), 'submit' (send data + Enter, for answering prompts), 'close' (close stdin/send EOF).", "parameters": { "type": "object", "properties": { "action": { "type": "string", "enum": [ "list", "poll", "log", "wait", "kill", "write", "submit", "close" ], "description": "Action to perform on background processes" }, "session_id": { "type": "string", "description": "Process session ID (from terminal background output). Required for all actions except 'list'." }, "data": { "type": "string", "description": "Text to send to process stdin (for 'write' and 'submit' actions)" }, "timeout": { "type": "integer", "description": "Max seconds to block for 'wait' action. Returns partial output on timeout.", "minimum": 1 }, "offset": { "type": "integer", "description": "Line offset for 'log' action (default: last 200 lines)" }, "limit": { "type": "integer", "description": "Max lines to return for 'log' action", "minimum": 1 } }, "required": [ "action" ] } } }, { "type": "function", "function": { "name": "terminal", "description": "Execute shell commands on a Linux environment. Filesystem usually persists between calls.\n\nDo NOT use cat/head/tail to read files — use read_file instead.\nDo NOT use grep/rg/find to search — use search_files instead.\nDo NOT use ls to list directories — use search_files(target='files') instead.\nDo NOT use sed/awk to edit files — use patch instead.\nDo NOT use echo/cat heredoc to create files — use write_file instead.\nReserve terminal for: builds, installs, git, processes, scripts, network, package managers, and anything that needs a shell.\n\nForeground (default): Commands return INSTANTLY when done, even if the timeout is high. Set timeout=300 for long builds/scripts — you'll still get the result in seconds if it's fast. Prefer foreground for short commands.\nBackground: Set background=true to get a session_id. Two patterns:\n (1) Long-lived processes that never exit (servers, watchers).\n (2) Long-running tasks with notify_on_complete=true — you can keep working on other things and the system auto-notifies you when the task finishes. Great for test suites, builds, deployments, or anything that takes more than a minute.\nFor servers/watchers, do NOT use shell-level background wrappers (nohup/disown/setsid/trailing '&') in foreground mode. Use background=true so Hermes can track lifecycle and output.\nAfter starting a server, verify readiness with a health check or log signal, then run tests in a separate terminal() call. Avoid blind sleep loops.\nUse process(action=\"poll\") for progress checks, process(action=\"wait\") to block until done.\nWorking directory: Use 'workdir' for per-command cwd.\nPTY mode: Set pty=true for interactive CLI tools (Codex, Claude Code, Python REPL).\n\nDo NOT use vim/nano/interactive tools without pty=true — they hang without a pseudo-terminal. Pipe git output to cat if it might page.\n", "parameters": { "type": "object", "properties": { "command": { "type": "string", "description": "The command to execute on the VM" }, "background": { "type": "boolean", "description": "Run the command in the background. Two patterns: (1) Long-lived processes that never exit (servers, watchers). (2) Long-running tasks paired with notify_on_complete=true — you can keep working and get notified when the task finishes. For short commands, prefer foreground with a generous timeout instead.", "default": false }, "timeout": { "type": "integer", "description": "Max seconds to wait (default: 180, foreground max: 600). Returns INSTANTLY when command finishes — set high for long tasks, you won't wait unnecessarily. Foreground timeout above 600s is rejected; use background=true for longer commands.", "minimum": 1 }, "workdir": { "type": "string", "description": "Working directory for this command (absolute path). Defaults to the session working directory." }, "pty": { "type": "boolean", "description": "Run in pseudo-terminal (PTY) mode for interactive CLI tools like Codex, Claude Code, or Python REPL. Only works with local and SSH backends. Default: false.", "default": false }, "notify_on_complete": { "type": "boolean", "description": "When true (and background=true), you'll be automatically notified exactly once when the process finishes. **This is the right choice for almost every long-running task** — tests, builds, deployments, multi-item batch jobs, anything that takes over a minute and has a defined end. Use this and keep working on other things; the system notifies you on exit. MUTUALLY EXCLUSIVE with watch_patterns — when both are set, watch_patterns is dropped.", "default": false }, "watch_patterns": { "type": "array", "items": { "type": "string" }, "description": "Strings to watch for in background process output. HARD RATE LIMIT: at most 1 notification per 15 seconds per process — matches arriving inside the cooldown are dropped. After 3 consecutive 15-second windows with dropped matches, watch_patterns is automatically disabled for that process and promoted to notify_on_complete behavior (one notification on exit, no more mid-process spam). USE ONLY for truly rare, one-shot mid-process signals on LONG-LIVED processes that will never exit on their own — e.g. ['Application startup complete'] on a server so you know when to hit its endpoint, or ['migration done'] on a daemon. DO NOT use for: (1) end-of-run markers like 'DONE'/'PASS' — use notify_on_complete instead; (2) error patterns like 'ERROR'/'Traceback' in loops or multi-item batch jobs — they fire on every iteration and you'll hit the strike limit fast; (3) anything you'd ever combine with notify_on_complete. When in doubt, choose notify_on_complete. MUTUALLY EXCLUSIVE with notify_on_complete — set one, not both." } }, "required": [ "command" ] } } }, { "type": "function", "function": { "name": "web_extract", "description": "Extract content from web page URLs. Returns page content in markdown format. Also works with PDF URLs (arxiv papers, documents, etc.) — pass the PDF link directly and it converts to markdown text. Pages under 5000 chars return full markdown; larger pages are LLM-summarized and capped at ~5000 chars per page. Pages over 2M chars are refused. If a URL fails or times out, use the browser tool to access it instead.", "parameters": { "type": "object", "properties": { "urls": { "type": "array", "items": { "type": "string" }, "description": "List of URLs to extract content from (max 5 URLs per call)", "maxItems": 5 } }, "required": [ "urls" ] } } }, { "type": "function", "function": { "name": "web_search", "description": "Search the web for information. Returns up to 5 results by default with titles, URLs, and descriptions. The query is passed through to the configured backend, so operators such as site:domain, filetype:pdf, intitle:word, -term, and \"exact phrase\" may work when the backend supports them.", "parameters": { "type": "object", "properties": { "query": { "type": "string", "description": "The search query to look up on the web. You may include backend-supported operators such as site:example.com, filetype:pdf, intitle:word, -term, or \"exact phrase\"." }, "limit": { "type": "integer", "description": "Maximum number of results to return. Defaults to 5.", "minimum": 1, "maximum": 100, "default": 5 } }, "required": [ "query" ] } } } ], "message_count": 16, "messages": [ { "role": "user", "content": "Research and document the best ways to connect Hermes Agent (AI assistant running on Ubuntu 24.04 ARM64 Oracle Cloud) with these health/fitness apps. For each one, determine: API availability (REST/OAuth/scraping), data accessible (nutrition, weight, steps, heart rate, sleep, workouts), integration method, Python/Node libraries available, authentication approach, and feasibility of read/write access.\n\nApps to research:\n1. MacroFactor (nutrition/calorie tracking)\n2. MyFitnessPal (nutrition/calorie tracking)\n3. Fitbit (activity, heart rate, sleep)\n4. Google Health Connect (Android health data hub)\n5. Google Fit (activity, heart points)\n6. Hevy (already connected via REST API — note this)\n7. Cronometer (nutrition, alternative)\n8. Any health data aggregator that bridges Google Fit with nutrition apps\n\nFor each app, provide:\n- API type and documentation URL\n- What data we can pull (specific fields: calories, macros, weight, steps, HR, sleep, workouts)\n- Authentication method\n- Python code example skeleton\n- Feasibility score (1-5) and blockers\n- Estimated cost (free tier / paid)\n\nGoal: Enable Pipo to become Ignacio's 'Very Personal Trainer' — reading daily nutrition, weight, activity, and sleep data, then automatically adjusting workout intensity and meal portions.\n\nOutput format: Structured markdown, one section per app, with concrete Python code examples where feasible. Be exhaustive — dig into actual API docs, not just summaries." }, { "role": "assistant", "content": "", "reasoning": "The user wants me to research health/fitness app APIs and document how to integrate them with Hermes Agent. Let me systematically research each app, starting with web searches for their APIs, then extracting documentation pages for details. I'll work through them one by one.\n\nLet me start by searching for all the apps' APIs in parallel.", "finish_reason": "tool_calls", "reasoning_content": "The user wants me to research health/fitness app APIs and document how to integrate them with Hermes Agent. Let me systematically research each app, starting with web searches for their APIs, then extracting documentation pages for details. I'll work through them one by one.\n\nLet me start by searching for all the apps' APIs in parallel.", "tool_calls": [ { "id": "call_00_6WEVlJlxZiNqvCvRJWgE1120", "call_id": "call_00_6WEVlJlxZiNqvCvRJWgE1120", "response_item_id": "fc_00_6WEVlJlxZiNqvCvRJWgE1120", "type": "function", "function": { "name": "web_search", "arguments": "{\"query\": \"MacroFactor API public REST API nutrition data access developer 2024 2025\", \"limit\": 5}" } }, { "id": "call_01_ueJNCbHShjNm3jk0Sjkk5574", "call_id": "call_01_ueJNCbHShjNm3jk0Sjkk5574", "response_item_id": "fc_01_ueJNCbHShjNm3jk0Sjkk5574", "type": "function", "function": { "name": "web_search", "arguments": "{\"query\": \"MyFitnessPal API REST OAuth developer documentation 2024 2025\", \"limit\": 5}" } }, { "id": "call_02_nYoBp1PgP7Zq19xA6TY91437", "call_id": "call_02_nYoBp1PgP7Zq19xA6TY91437", "response_item_id": "fc_02_nYoBp1PgP7Zq19xA6TY91437", "type": "function", "function": { "name": "web_search", "arguments": "{\"query\": \"Fitbit Web API developer documentation REST OAuth 2024 2025\", \"limit\": 5}" } }, { "id": "call_03_oT6jirQn78PFhDIpiOBS5554", "call_id": "call_03_oT6jirQn78PFhDIpiOBS5554", "response_item_id": "fc_03_oT6jirQn78PFhDIpiOBS5554", "type": "function", "function": { "name": "web_search", "arguments": "{\"query\": \"Google Health Connect API cloud sync bridge REST web access 2024 2025\", \"limit\": 5}" } }, { "id": "call_04_zaKPLwNb50lmWM7sA9Re6774", "call_id": "call_04_zaKPLwNb50lmWM7sA9Re6774", "response_item_id": "fc_04_zaKPLwNb50lmWM7sA9Re6774", "type": "function", "function": { "name": "web_search", "arguments": "{\"query\": \"Google Fit REST API developer documentation 2024 2025\", \"limit\": 5}" } } ] }, { "role": "tool", "name": "web_search", "content": "{\n \"success\": true,\n \"data\": {\n \"web\": [\n {\n \"url\": \"https://github.com/sjawhar/macrofactor/blob/main/docs/api-reference.md\",\n \"title\": \"docs/api-reference.md at main · sjawhar/macrofactor\",\n \"description\": \"MacroFactor (by Stronger By Science) uses a shared Firebase backend for both its Nutrition and Workouts apps. This document details the reverse-engineered API schema based on the Firestore REST API.\\n[...]\\n## Architecture & Authentication\\n[...]\\n- **Firebase Project**: `sbs-diet-app`\\n- **Base URL**: `https://firestore.googleapis.com/v1/projects/sbs-diet-app/databases/(default)/documents`\\n- **Auth Endpoint**: `https://identitytoolkit.googleapis.com/v1/accounts:signInWithPassword?key={API_KEY}`\\n- **Token Refresh**: `https://securetoken.googleapis.com/v1/token?key={API_KEY}`\\n[...]\\nThe API uses standard Firebase Identity Toolkit. Exchanging email/password yields an `idToken` (JWT) which must be passed as `Authorization: Bearer ` to Firestore endpoints. Both `com.sbs.diet` and `com.sbs.train` bundle IDs work.\\n[...]\\nThe global reference collections (`exercises/`, `muscles/`, `equipment/`, etc.) exist in Firestore but are read-protected by Firebase App Check (returning 403).\\n[...]\\nHowever, the complete reference database is bundled within the workout app APK as `app_file.json`. This JSON contains a `uuidIndex` that acts as a universal dictionary, mapping all 4,170 hex IDs in the system to their human-readable names and types. Our TypeScript client resolves these locally.\\n[...]\\nAll user data is stored under the `users/{uid}/` prefix.\\n[...]\\n### Food Log\\n[...]\\n**Path:** `users/{uid}/food/{YYYY-MM-DD}`\\n**Type:** Document containing all food entries for a specific day.\\n**Structure:** A map where keys are timestamp-based entry IDs.\\n[...]\\n| Field | Type | Description |\\n| ---------- | ------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |\\n| `t` | string | Name / Title |\\n| `b` | string | Brand |\\n| `c` | number | Calories (per `g` amount) |\\n| `p` | number | Protein (per `g` amount) |\\n| `e` | number | Carbs (per `g` amount) |\\n| `f` | number | Fat (per `g` amount) |\\n| `g` | number | Serving size in grams |\\n| `w` | number | Unit weight |\\n| `y` | number | User quantity |\\n| `q` | number | Computed quantity |\\n| `s` | string | Serving unit string |\\n| `id` | string | Global food ID (if from search) |\\n[...]\\n| `h` / `mi` | string | Hour and minute of meal in user's **local time** (e\\n[...]\\ng., `\\\"14\\\"`, `\\\"30\\\"`). These are plain integers as strings — NOT zero-padded, NOT suffixed with `.0`. The app does not store timezone info; `h`/`mi` represent the wall-clock time\\n[...]\\nuser ate. |\\n[...]\\n| `k` | string | Source type (\\\"search\\\", \\\"manual\\\", etc.) |\\n| `d` | boolean | True if deleted (soft delete) |\\n| `x` | string | Image ID / Barcode |\\n[...]\\n### Daily Nutrition Summaries\\n[...]\\n**Path:** `users/{uid}/nutrition/{YYYY}`\\n**Type:** Document containing daily summaries for an entire year.\\n**Structure:** Map where keys are `MMDD`.\\n\\n| Field | Type | Description |\\n| ----- | ------ | --------------------- |\\n| `k` | number | Total Calories (kcal) |\\n| `p` | number | Total Protein (g) |\\n| `c` | number | Total Carbs (g) |\\n| `f` | number | Total Fat (g) |\\n[...]\\n_Note: MacroFactor computes these dynamically. The client API auto-computes missing days from the Food Log._\\n[...]\\n### Diet Profile\\n[...]\\n**Path:** `users/{uid}/profiles/diet`\\n[...]\\n**Type:** Single document with diet app toolbar/shortcut config\",\n \"position\": 1\n },\n {\n \"url\": \"https://crates.io/crates/macro-factor-api\",\n \"title\": \"macro-factor-api v0.4.0\",\n \"description\": \"Unofficial Rust client for reading MacroFactor data\\n[...]\\nUnofficial Rust client library for reading MacroFactor data via the Firestore REST API.\\n[...]\\n() -> anyhow::\\n[...]\\n?;\\n\\n // Get weight entries\\n let start = NaiveDate::from_ymd_opt(2025, 1, 1).unwrap();\\n let end = NaiveDate::from_ymd_opt(2025, 1, 31).unwrap();\\n let weights = client.get_weight_entries(start, end).await?;\\n\\n // Get nutrition summaries\\n let nutrition = client.get_nutrition(start, end).await?;\\n\\n // Get food log for a specific day\\n let foods = client.get_food_log(start).await?;\\n\\n // Get step counts\\n let steps = client.get_steps(start, end).await?;\\n\\n Ok(())\\n}\\n```\\n[...]\\n## API Methods\\n[...]\\n`get_nutrition(start, end)`\\n[...]\\nDaily summaries (calories, protein, carbs, fat, sugar, fiber)\\n[...]\\n`get_food_log(date)`\\n[...]\\n`log_nutrition(date, cal, protein, carbs, fat)`\\n[...]\\nLog a nutrition summary\\n[...]\\n`get_raw_document(path)`\\n[...]\\nFetch any Firestore document by path\\n[...]\\n## Firestore Schema\\n[...]\\nData lives under `users/{uid}/`:\\n\\n- **`scale/{year}`** — weight entries keyed by `MMDD`\\n- **`nutrition/{year}`** — daily macro summaries keyed by `MMDD`\\n- **`food/{YYYY-MM-DD}`** — food log entries per day\\n- **`steps/{year}`** — step counts keyed by `MMDD`\\n- **`body/{year}`** — body measurements keyed by `MMDD`\\n- **`customFoods/{id}`** — user-created foods and recipes\\n[...]\\n## Version History\\n[...]\\n| Version | Date | Downloads | MSRV |\\n| --- | --- | --- | --- |\\n| 0.4.0 | 2026-02-19 | 41 | |\\n| 0.3.0 | 2026-02-19 | 16 | |\\n| 0.2.0 | 2026-02-19 | 15 | |\\n| 0.1.1 | 2026-02-19 | 18 | |\\n| 0.1.0 | 2026-02-19 | 14 | |\",\n \"position\": 2\n },\n {\n \"url\": \"https://github.com/sjawhar/macrofactor\",\n \"title\": \"sjawhar/macrofactor\",\n \"description\": \"CLI & API Client\\n[...]\\nA TypeScript client and CLI for interacting with MacroFactor programmatically — the nutrition and workout tracker by Stronger By Science.\\n[...]\\n- **Read** your workout history, food logs, weight entries, nutrition summaries, gym profiles, and custom exercises\\n- **Write** food log entries, create new workouts, update existing workout sets, and log weight\\n- **Search** the MacroFactor food database (common foods + branded items via Typesense)\\n- **Resolve** the opaque 32-character hex IDs used for exercises, muscles, and equipment to human-readable names using the bundled reference database\\n[...]\\nThe MacroFactor app uses a Firebase/Firestore backend (`sbs-diet-app`). This client talks directly to the Firestore REST API using standard Firebase authentication.\\n[...]\\n- **User data** (workouts, food logs, weight, etc.) is read/write accessible via Firestore REST with a valid auth token\\n- **Reference data** (exercises, muscles, equipment) is locked behind Firebase App Check and returns 403 — this client resolves them locally using a bundled JSON database extracted from the app\\n- **Food search** uses MacroFactor's Typesense instance, which combines USDA common foods with a branded food database\\n[...]\\nThis project includes an MCP (Model Context Protocol) server that exposes the MacroFactor API as tools for AI agents like Claude, Cursor, and Windsurf. Use it to integrate MacroFactor data and operations into your AI workflows.\\n[...]\\nThe MCP server exposes 28 tools for reading and writing MacroFactor data:\\n[...]\\n| Tool | Description |\\n| --- | --- |\\n| `get_workouts` | List recent workouts with exercise/set counts |\\n| `get_workout` | Full detail for a specific workout (UUID) |\\n| `get_food_log` | Show food log for a date (default: today) |\\n| `search_foods` | Search the food database without logging |\\n| `get_nutrition` | Get nutrition summary for a date |\\n| `get_weight_log` | List weight entries for a date range |\\n| `get_profile` | Show user profile and preferences |\\n| `get_gyms` | List gym profiles |\\n| `search_exercises` | Search the bundled exercise database |\\n| `resolve_exercise` | Resolve a hex ID to exercise name + muscles |\\n| `resolve_muscle` | Resolve a hex ID to muscle name |\\n| `resolve_equipment` | Resolve a hex ID to equipment name |\\n[...]\\n| Tool | Description |\\n| --- | --- |\\n| `log_food` | Search and log a food entry |\\n| `log_food_by_id` | Log a food entry by ID (skip search) |\\n| `update_food_entry` | Update a food entry quantity |\\n| `delete_food_entry` | Delete a food entry |\\n| `log_weight` | Log a scale entry |\\n| `log_workout` | Create a workout with exercises |\\n| `log_exercise` | Add exercises to an existing workout |\\n| `update_workout_set` | Update a workout set (reps, weight, rest) |\\n| `delete_workout_set` | Delete a workout set |\\n| `create_custom_exercise` | Create a custom exercise in a gym profile |\\n| `update_custom_exercise` | Update a custom exercise |\\n| `delete_custom_exercise` | Delete a custom exercise |\\n| `create_gym_profile` | Create a new gym profile |\\n| `update_gym_profile` | Update a gym profile |\\n| `delete_gym_profile` | Delete a gym profile |\\n| `update_user_preferences` | Update user preferences (targets, macros, etc.) |\\n[...]\\nsrc/lib/api/\\n auth.ts Firebase auth (sign-in, token refresh)\\n client.ts MacroFactorClient class (all read/write methods)\\n firestore.ts Firestore REST helpers + food entry type safety\\n typesense.ts Food search via Typesense\\n exercises.ts Local exercise database resolver\\n types.ts Shared TypeScript types\\n workout-types.ts Workout-specific types\",\n \"position\": 3\n },\n {\n \"url\": \"https://registry.npmjs.org/@sjawhar/macrofactor-mcp\",\n \"title\": \"@sjawhar/macrofactor-mcp\",\n \"description\": \"> **This is not a replacement for MacroFactor.** You need an active MacroFactor subscription to use this. We love MacroFactor and the team behind it. This project exists because sometimes you want to interact with your own data without opening an app — batch-log meals from a script, update workout weights from a spreadsheet, or build your own integrations on top of an already great product.\\n[...]\\n- **Read** your workout history, food logs, weight entries, nutrition summaries, gym profiles, and custom exercises\\n- **Write** food log entries, create new workouts, update existing workout sets, and log weight\\n- **Search** the MacroFactor food database (common foods + branded items via Typesense)\\n- **Resolve** the opaque 32-character hex IDs used for exercises, muscles, and equipment to human-readable names using the bundled reference database\\n[...]\\nThe MacroFactor app uses a Firebase/Firestore backend (`sbs-diet-app`). This client talks directly to the Firestore REST API using standard Firebase authentication.\\n[...]\\n- **User data** (workouts, food logs, weight, etc.) is read/write accessible via Firestore REST with a valid auth token\\n- **Reference data** (exercises, muscles, equipment) is locked behind Firebase App Check and returns 403 — this client resolves them locally using a bundled JSON database extracted from the app\\n- **Food search** uses MacroFactor's Typesense instance, which combines USDA common foods with a branded food database\\n[...]\\nThis project includes an MCP (Model Context Protocol) server that exposes the MacroFactor API as tools for AI agents like Claude, Cursor, and Windsurf. Use it to integrate MacroFactor data and operations into your AI workflows.\\n[...]\\nThe MCP server exposes 28 tools for reading and writing MacroFactor data:\\n[...]\\n| Tool | Description |\\n| --- | --- |\\n| `get_workouts` | List recent workouts with exercise/set counts |\\n| `get_workout` | Full detail for a specific workout (UUID) |\\n| `get_food_log` | Show food log for a date (default: today) |\\n| `search_foods` | Search the food database without logging |\\n| `get_nutrition` | Get nutrition summary for a date |\\n| `get_weight_log` | List weight entries for a date range |\\n| `get_profile` | Show user profile and preferences |\\n| `get_gyms` | List gym profiles |\\n| `search_exercises` | Search the bundled exercise database |\\n| `resolve_exercise` | Resolve a hex ID to exercise name + muscles |\\n| `resolve_muscle` | Resolve a hex ID to muscle name |\\n| `resolve_equipment` | Resolve a hex ID to equipment name |\\n[...]\\n| Tool | Description |\\n| --- | --- |\\n| `log_food` | Search and log a food entry |\\n| `log_food_by_id` | Log a food entry by ID (skip search) |\\n| `update_food_entry` | Update a food entry quantity |\\n| `delete_food_entry` | Delete a food entry |\\n| `log_weight` | Log a scale entry |\\n| `log_workout` | Create a workout with exercises |\\n| `log_exercise` | Add exercises to an existing workout |\\n| `update_workout_set` | Update a workout set (reps, weight, rest) |\\n| `delete_workout_set` | Delete a workout set |\\n| `create_custom_exercise` | Create a custom exercise in a gym profile |\\n| `update_custom_exercise` | Update a custom exercise |\\n| `delete_custom_exercise` | Delete a custom exercise |\\n| `create_gym_profile` | Create a new gym profile |\\n| `update_gym_profile` | Update a gym profile |\\n| `delete_gym_profile` | Delete a gym profile |\\n| `update_user_preferences` | Update user preferences (targets, macros, etc.) |\\n[...]\\nsrc/lib/api/\\n auth.ts Firebase auth (sign-in, token refresh)\\n client.ts MacroFactorClient class (all read/write methods)\\n firestore.ts Firestore REST helpers + food entry type safety\\n typesense.ts Food search via Typesense\\n exercises.ts Local exercise database resolver\\n types.ts Shared TypeScript types\\n workout-types.ts Workout-specific types\\n[...]\\n| Versions | Published | Releases | Deps |\\n[...]\\n| --- | --- | --- | --- |\\n|\\n[...]\\n3.1 | Mar 2026 | 2 | 2 |\\n[...]\\n1.0 |\",\n \"position\": 4\n },\n {\n \"url\": \"https://github.com/sjawhar/macrofactor/blob/main/README.md\",\n \"title\": \"README.md at main · sjawhar/macrofactor\",\n \"description\": \"> **This is not a replacement for MacroFactor.** You need an active MacroFactor subscription to use this. We love MacroFactor and the team behind it. This project exists because sometimes you want to interact with your own data without opening an app — batch-log meals from a script, update workout weights from a spreadsheet, or build your own integrations on top of an already great product.\\n[...]\\n- **Read** your workout history, food logs, weight entries, nutrition summaries, gym profiles, and custom exercises\\n- **Write** food log entries, create new workouts, update existing workout sets, and log weight\\n- **Search** the MacroFactor food database (common foods + branded items via Typesense)\\n- **Resolve** the opaque 32-character hex IDs used for exercises, muscles, and equipment to human-readable names using the bundled reference database\\n[...]\\nThe MacroFactor app uses a Firebase/Firestore backend (`sbs-diet-app`). This client talks directly to the Firestore REST API using standard Firebase authentication.\\n[...]\\n- **User data** (workouts, food logs, weight, etc.) is read/write accessible via Firestore REST with a valid auth token\\n- **Reference data** (exercises, muscles, equipment) is locked behind Firebase App Check and returns 403 — this client resolves them locally using a bundled JSON database extracted from the app\\n- **Food search** uses MacroFactor's Typesense instance, which combines USDA common foods with a branded food database\\n[...]\\nThis project includes an MCP (Model Context Protocol) server that exposes the MacroFactor API as tools for AI agents like Claude, Cursor, and Windsurf. Use it to integrate MacroFactor data and operations into your AI workflows.\\n[...]\\nThe MCP server exposes 28 tools for reading and writing MacroFactor data:\\n[...]\\n| Tool | Description |\\n| ------------------- | --------------------------------------------- |\\n| `get_workouts` | List recent workouts with exercise/set counts |\\n| `get_workout` | Full detail for a specific workout (UUID) |\\n| `get_food_log` | Show food log for a date (default: today) |\\n| `search_foods` | Search the food database without logging |\\n| `get_nutrition` | Get nutrition summary for a date |\\n| `get_weight_log` | List weight entries for a date range |\\n| `get_profile` | Show user profile and preferences |\\n| `get_gyms` | List gym profiles |\\n| `search_exercises` | Search the bundled exercise database |\\n| `resolve_exercise` | Resolve a hex ID to exercise name + muscles |\\n| `resolve_muscle` | Resolve a hex ID to muscle name |\\n| `resolve_equipment` | Resolve a hex ID to equipment name |\\n[...]\\n| Tool | Description |\\n| ------------------------- | ----------------------------------------------- |\\n| `log_food` | Search and log a food entry |\\n| `log_food_by_id` | Log a food entry by ID (skip search) |\\n| `update_food_entry` | Update a food entry quantity |\\n| `delete_food_entry` | Delete a food entry |\\n| `log_weight` | Log a scale entry |\\n| `log_workout` | Create a workout with exercises |\\n| `log_exercise` | Add exercises to an existing workout |\\n| `update_workout_set` | Update a workout set (reps, weight, rest) |\\n| `delete_workout_set` | Delete a workout set |\\n| `create_custom_exercise` | Create a custom exercise in a gym profile |\\n| `update_custom_exercise` | Update a custom exercise |\\n| `delete_custom_exercise` | Delete a custom exercise |\\n| `create_gym_profile` | Create a new gym profile |\\n| `update_gym_profile` | Update a gym profile |\\n| `delete_gym_profile` | Delete a gym profile |\\n| `update_user_preferences` | Update user preferences (targets, macros, etc.) |\\n[...]\\nsrc/lib/api/\\n auth.ts Firebase auth (sign-in, token refresh)\\n client.ts MacroFactorClient class (all read/write methods)\\n firestore.ts Firestore REST helpers + food entry type safety\\n typesense.ts Food search via Typesense\\n exercises.ts Local exercise database resolver\\n types.ts Shared TypeScript types\\n workout-types.ts Workout-specific types\",\n \"position\": 5\n }\n ]\n }\n}", "tool_call_id": "call_00_6WEVlJlxZiNqvCvRJWgE1120" }, { "role": "tool", "name": "web_search", "content": "{\n \"success\": true,\n \"data\": {\n \"web\": [\n {\n \"url\": \"https://myfitnesspalapi.com/docs/\",\n \"title\": \"Health, nutrition, and wellness - MyFitnessPal API\",\n \"description\": \"MFP API - MFP API\\n\\n# Health, nutrition, and wellness\\n\\nWe follow a RESTful approach to designing our APIs. Requests and responses use JSON in a familiar REST style. Clients use standard HTTP methods – POST, GET, PUT, DELETE, to update resources. You can get a quick overview of our APIs before you get started.\",\n \"position\": 1\n },\n {\n \"url\": \"https://myfitnesspalapi.com/docs/request-query-parameters/\",\n \"title\": \"MFP API - MyFitnessPal Developer - Request query parameters\",\n \"description\": \"MFP API - MyFitnessPal Developer - Request query parameters\\n[...]\\n# Authorization Code Grant\\n[...]\\nThis is the first step in the process, the granting of a single-use authorization code.\\n[...]\\n```\\nGET ​/oauth2/auth\\n\\n```\\n[...]\\n## Request Query Parameters\\n[...]\\n| Name | Description | Required |\\n| --- | --- | --- |\\n| response_type | Indicates the desired response type. Must be set to ​code​. | Y |\\n| client_id | Your app’s client id | Y |\\n| redirect_uri | The URL to redirect to when the user completes the authorization flow. This URL will receive the results of the authorization request as query parameters. | Y |\\n| scope | A space­delimited list of permission scopes requested by your app. Must be limited to scopes that have not previously been authorized. (See below for a list of scope.) | Y |\\n[...]\\n| state | An opaque string used to maintain state between requests. MyFitnessPal will include this string unchanged as a query parameter appended to ​redirect_uri​. Useful for protecting against Cross-site Request Forgery (CSRF) attacks. If used, it should be an arbitrary string unique to each authentication request. | N |\\n[...]\\nAvailable permission scopes:\\n[...]\\n```\\n ● measurements\\n ● diary\\n ● private­exercises \\n ● subscriptions\",\n \"position\": 2\n },\n {\n \"url\": \"https://myfitnesspalapi.com/docs/auth-example-2/\",\n \"title\": \"MFP API - MyFitnessPal Developer - Example 2 - Requesting all available scopes\",\n \"description\": \"MFP API - MyFitnessPal Developer - Example 2 - Requesting all available scopes\\n[...]\\n# Example 2: Requesting all available scopes\\n[...]\\n```\\nhttp://api.myfitnesspal.com/v2/oauth2/auth\\n?client_id=​your_client_id\\n&response_type=code &scope=diary+measurements+private-exercises+subscriptions \\n&redirect_uri=http://your.domain.com/path/to/auth/complete/flow\\n\\n```\",\n \"position\": 3\n },\n {\n \"url\": \"https://myfitnesspalapi.com/docs/user-authentication/\",\n \"title\": \"MFP API - MyFitnessPal Developer - User Authorization\",\n \"description\": \"MFP API - MyFitnessPal Developer - User Authorization\\n\\n# User Authorization\\n\\nMyFitnessPal API user authorization is based on the OAuth 2.0 protocol. (See: http://oauth.net/2/​) In order to use the API to interact with a user’s MyFitnessPal account, these steps must be followed:\\n\\nObtain permission from the user to link their account to your application. To do this, create a link on your website to the Authorization Code Grant URL hosted by MyFitnessPal. When the user follows this link, they will be presented with the option to grant access to your application. (If they do not already have a session in MyFitnessPal, they will first be presented with a login form.)\\n\\nIf the user grants access to your application, the MyFitnessPal servers will redirect the user back to your site. Along with this redirect you will be passed an ​authorization code which represents the link between your application and the user.\\n\\nImmediately exchange the authorization code for an access token and a refresh token from MyFitnessPal. As part of this request, you will pass along your ​client id​ and ​client secret​, which serve to authenticate your application to the MyFitnessPal API. MyFitnessPal will provide you with the c​lient id​ and ​client secret​ when you set up your API account.\\n\\nThe provided access token represents a fully authenticated token that must be used to make API requests on behalf of the linked user account. Every API request must contain a valid access token. The access token will expire after a certain period. A client app may request a new access token at any time using the refresh token. The refresh token remains valid until revoked by either your application or the user.\\n\\nOnce a user has authorized your app to make requests to the MyFitnessPal API on their behalf, you may use the API methods documented below, including the access token with each request.\\n\\nEach step in this process is described in more detail in the following sections.\",\n \"position\": 4\n },\n {\n \"url\": \"https://www.myfitnesspal.com/apps/api\",\n \"title\": \"Developer Portal | MyFitnessPal.com\",\n \"description\": \"Developer Portal | MyFitnessPal.com\\n\\n- Log In\\n- Sign Up\\n\\n# MyFitnessPal Developer Portal\\n\\nMyFitnessPal has created an API to enable talented developers like you to create great health and fitness apps, devices, and services exchanging data with MyFitnessPal to help our mutual users reach their goals.\\n\\n\\\"The MyFitnessPal API is currently a private API available to approved developers only. If you are interested in integrating with the MyFitnessPal API, please contact API@myfitnesspal.com with information about your company and what you would like to do with the MyFitnessPal API.\\\"\\n\\nTo request the latest versions of MyFitnessPal's API Documentation or API Terms of Service, please contact API@myfitnesspal.com.\\n\\nEnglish Deutsch Español Français Português (Brasil) Italiano Norsk Nederlands Pусский Svensk Dansk 한국어 日本語 中文(简体) 中文(台灣)\\n\\n© 2026 MyFitnessPal, Inc.\\n\\n## Member Login\\n\\nLog in with Facebook\\n\\n- Username:\\n- Password:\\n- Remember me next time\\n- Forgot password?\\n- - or -\\n- Not a member yet? Sign up now!\",\n \"position\": 5\n }\n ]\n }\n}", "tool_call_id": "call_01_ueJNCbHShjNm3jk0Sjkk5574" }, { "role": "tool", "name": "web_search", "content": "{\n \"success\": true,\n \"data\": {\n \"web\": [\n {\n \"url\": \"https://dev.fitbit.com/build/reference/web-api/developer-guide\",\n \"title\": \"Developer Guide\",\n \"description\": \"Developer Guide \\n\\n# Fitbit Web API Developer Guide\\n[...]\\nThe Fitbit Web API Developer Guide is intended to help a developer get started using the the Web API, along with providing additional content on implementing the endpoints. Anyone may use the Web API to build integrations with the Fitbit data services, so long as their application complies with:\\n[...]\\n- the Fitbit Platform Terms of Service, Fitbit User Data and Developer Policy, and the Fitbit user consents to share their data with the developer’s application for access to Fitbit user data, and\\n- the Fitbit Platform Terms of Service, the Google APIs Terms of Service, Google API Services User Data Policy, OAuth 2.0 Policies, Fitbit User Data and Developer Policy, and the Fitbit user consents to share their data with the developer's application for access to Google user data.\\n[...]\\nThis guide provides the following resources,\\n[...]\\n- Getting Started explains how to create a Fitbit developer account and register an application.\\n[...]\\n- Authorization steps you through implementing the Authorization Code Grant Flow with PKCE; the recommended authorization flow for requesting access to Fitbit user data.\\n[...]\\n- Libraries and Sample Code provides a list of OAuth2 libraries and sample code our developer community found and has successfully used.\",\n \"position\": 1\n },\n {\n \"url\": \"https://dev.fitbit.com/build/reference/web-api/authorization\",\n \"title\": \"Authorization\",\n \"description\": \"The Authorization endpoints allow an application to onboard Fitbit users who want to share their data with the specified application. The application can initiate the consent flow for new users, obtain the access token and refresh tokens, validate the tokens, and revoke consent to the user.\\n[...]\\nFitbit supports OAuth 2.0. The authorization models we support are Authorization Code Grant Flow, Authorization Code Grant Flow with PKCE and Implicit Grant Flow. We recommend Authorization Code Grant Flow with PKCE, and our examples demonstrate how to set it up. Client Credentials is supported but does not allow the retrieval of user data. It works only with the Fitbit Commerce APIs.\\n[...]\\nThe endpoints available in this section are\\n[...]\\n- Authorize initiates the OAuth 2.0 authorization flow by presenting the consent screen to the Fitbit user.\\n[...]\\n- Client Credentials initiates the Client Credentials Grant flow. This authorization flow does not support retrieving Fitbit user data.\\n[...]\\n- Introspect allows the application to retrieve the active state of an OAuth 2.0 token.\\n[...]\\n- OAuth2 Token exchanges the authorization code for the initial access token and refresh token.\\n[...]\\n- Refresh Token creates a new access token and refresh token for a user when the existing access token has expired.\\n- Revoke Token disables a user's authorization and all associated tokens.\",\n \"position\": 2\n },\n {\n \"url\": \"https://dev.fitbit.com/build/reference/web-api/developer-guide/application-design\",\n \"title\": \"Application Design\",\n \"description\": \"To determine the recommended OAuth 2.0 authorization flow that should be used for your application type, see Authorization.\\n[...]\\nExecuting the Web API endpoints requires using the appropriate headers and token. See API Endpoint Guide for details.\\n[...]\\nDuring the authorization process, the user is sent to Fitbit’s OAuth 2.0 Authorization web page. The user is returned back to your application after successful authorization via the redirect URL. Native applications can use custom URL schemes as redirect URLs to redirect the user from the browser back to the application requesting permission.\\n[...]\\nYou must specify the full redirect URL in your application settings on https://dev.fitbit.com. An application may have multiple redirect URLs registered by putting one redirect URL per line in your application settings. Fitbit strongly recommends that you always specify the intended redirect URL value with the redirect_uri parameter when sending users to the authorization page. The redirect_uri must be an exact match to one of the values specified in your application settings.\\n[...]\\nThe Fitbit Web API supports social login (Google only) only for the Authorization Grant Flows as part of the web single sign-on (SSO). When the OAuth 2.0 authorization flow requires access to the Fitbit user’s account while prompting for user consent, social login can be used with the Fitbit web application. If the user has already logged into their www.fitbit.com account using their Google account, they won’t be shown the sign-in form prior to the authorization consent form, unless prompt=login.\\n[...]\\n### Obtaining Consent through Scopes\\n[...]\\nWhen the application begins the authorization process, the OAuth 2.0 Authorization page will be displayed to the Fitbit user requesting permission to access the data sets that are required by the application. OAuth 2.0 refers to these permissions as “scopes”. Applications should only request permission for scopes they intend to access or modify.\\n[...]\\n### Displaying the Authorization Page\\n[...]\\nIf an access token is not automatically available to Fitbit, the Fitbit OAuth 2.0 Authorization page is presented to the user in a web form during the authorization process. For security consideration, the consent page must be presented in a dedicated browser view. Fitbit users can only confirm they are authenticating with the genuine Fitbit.com site if they have the tools provided by the browser, such as the URL bar and Transport Layer Security (TLS) certificate information.\\n[...]\\nA token is an object that provides access to a specific resource. The Fitbit Web APIs utilize 3 different types of tokens.\\n[...]\\nAccess Token, also known as the Bearer Token, is a unique, signed JWT\\n[...]\\nused to denote\\n[...]\\nhave an expiration date.\\n[...]\\n- The Refresh Token is used to obtain a new access token and a new refresh token when the existing access token has expired. This is supported only with the Authorization Code Grant flow. Refresh tokens are unique to its associated access token. They can only be used once, but do not expire.\\n[...]\\n### Access tokens\\n[...]\\nAn access token intentionally is short lived. This is an important security mechanism of OAuth 2.0. When using the Authorization Code Grant Flow, the access tokens have an eight-hour lifetime by default. To make a request to the Fitbit API using OAuth 2.0, simply add an Authorization header to the HTTPS request with the user's access token.\\n[...]\\nWhen an access token expires, an HTTP 401 error will be returned. Your application will need to use the refresh token to obtain a new access token and refresh token pair. See Refresh Token.\\n[...]\\nThe Fitbit API and its implementation of OAuth 2.0 are designed to work with the current and one previous version of Apple Safari, Google Chrome, Microsoft Edge, and Mozilla Firefox. When a new version of a web browser is released, Fitbit begins supporting the new version and discontinues support for the third most recent version.\",\n \"position\": 3\n },\n {\n \"url\": \"https://dev.fitbit.com/build/reference/web-api/developer-guide/libraries-and-sample-code\",\n \"title\": \"OAuth 2.0 Libraries and Sample Code\",\n \"description\": \"# OAuth 2.0 Libraries and Sample Code\\n[...]\\nThe Fitbit Web API is a common implementation of the OAuth 2.0 specification. You don't need a Fitbit-specific library to use the Fitbit Web API. Instead, we recommend that you use the best OAuth 2.0 or HTTP client library available for your platform. If you don't have a favorite OAuth 2.0 or HTTP library yet, we’ve listed some below that people have told us worked for them. If we don’t have your favorite listed, tell us on theforum.\\n[...]\\nThese libraries may contain sample code to get your started. We’ve included other sample code and tutorials below.\\n[...]\\nOthers can be found here|https://oauth.net/code/#client-libraries|\\n[...]\\n## Sample Code\\n[...]\\nMany of the OAuth 2.0 libraries provide sample code. We've provided some additional samples below. Also, there are plenty of other code examples that our developer communioty has created which can be found through internet searches.\\n[...]\\nFitbit's Device SDK|https://dev.fitbit.com/build/tutorials/examples/#web-api-oauth|\\n[...]\\nGo|Fitbit Web API Go client by galeone -https://github.com/galeone/fitbit|\",\n \"position\": 4\n },\n {\n \"url\": \"https://dev.fitbit.com/build/reference/web-api/developer-guide/authorization\",\n \"title\": \"Authorization\",\n \"description\": \"Fitbit requires applications use the OAuth 2.0 Authorization Framework to securely authorize access to Fitbit user data. Fitbit recommends using the best OAuth 2.0 or HTTP client library available for your preferred application platform and programming language. Many times, these libraries contain sample code to help you get started. Fitbit’s Web API uses a common implementation of the OAuth 2.0 specification, so a Fitbit-specific library is not required. For a list of OAuth 2.0 libraries suggested by our developer community, see Libraries and Sample Code\\n[...]\\nUsing a web browser, the application calls\\n[...]\\nAuthorize endpoint\\n[...]\\ndisplay Fitbit's Authorization page to the user. If necessary, the user may need to log in with their Fitbit credentials.\\n[...]\\n- `client_id`: The Fitbit API application ID from https://dev.fitbit.com/apps.\\n- `scope`: A space-delimited list of data collections requested by the application.\\n- `code_challenge`: The base64url-encoded SHA256 hash of the code verifier.\\n- `code_challenge_method`: S256\\n- `response_type`: code\\n[...]\\nThe application should extract the authorization code from the redirect URL and exchange it for the access token and refresh token. The tokens are obtained by calling the /oauth2/token endpoint and providing the following parameters within the body of the HTTPS POST request. See Token API for more information\\n[...]\\n- `client_id`: The Fitbit API application ID from https://dev.fitbit.com/apps.\\n- `code`: The authorization code\\n- `code_verifier`: The code verifier value from step 1.\\n- `grant_type`: authorization_code\\n[...]\\nThe application type (server, client or personal) defined in the registered application settings determines how the Token API endpoint is authorized to Fitbit.\\n[...]\\nServer application types must authenticate themselves using the client secret available in application settings. This provides the highest level of security to the OAuth 2.0 flow. However it should only be used by applications that can securely store the client secret, such as apps running on a web server. Notably, the client secret should never be included in application source code or stored on an end-user device where it can be discovered.\\n[...]\\nbase64-encoded concatenation of the client ID and secret, separated by\\n[...]\\nClient and personal application types can call /oauth2/token without any additional security requirements. This should only be used when the application cannot safely store the client secret. For example,\\n[...]\\noriginal variant of Authorization Code Grant flow\\n[...]\\n749\\n[...]\\nsuperseded by PK\\n[...]\\nvariant does not support the code\\n[...]\\nvalues when requesting user authorization. Instead,\\n[...]\\nDefined by RFC\\n[...]\\n6749, this authorization flow is no longer recommended as an OAuth 2.0 best practice. Unlike the Authorization Code Grant flow, the authorization page directly returns an access token making the consent process highly susceptible to\\n[...]\\nsecurity attacks. When using the Implicit Grant flow,\\n[...]\\nThe registered application\\n[...]\\nclient\\\" OAuth\\n[...]\\n0 Application type\\n[...]\\nA refresh token is\\n[...]\\naccess_token | The access\\n[...]\\nuse to call\\n[...]\\nuser. |\\n[...]\\n| --- | --- |\\n[...]\\n| expires_in | The lifetime of\\n[...]\\naccess token in\\n[...]\\nscope | A space\\n[...]\\nscopes the user authorized.\\n[...]\\nstaterecommeded | Provides any state that might be useful to your application when the user is redirected back to your application. This parameter will be added to the redirect URI exactly as your application specifies\\n[...]\\nvalue in the\\n[...]\\nmitigate against cross-site\\n[...]\\n_id | The Fitbit user id\\n[...]\\nDefined by RFC 6749, this authorization flow is used with specific Fitbit API endpoints related to business operations. It is not supported by the public Web APIs to retrieve Fitbit user data. See Client Credentials\",\n \"position\": 5\n }\n ]\n }\n}", "tool_call_id": "call_02_nYoBp1PgP7Zq19xA6TY91437" }, { "role": "tool", "name": "web_search", "content": "{\n \"success\": true,\n \"data\": {\n \"web\": [\n {\n \"url\": \"https://github.com/ShuchirJ/HCGateway\",\n \"title\": \"ShuchirJ/HCGateway\",\n \"description\": \"A universal REST API bridge for apps like Google Fit, Fitbit, Samsung Health, and more utilizing the Android Health Connect API.\\n[...]\\n- Stars: 395\\n- Forks: 61\\n- Watchers: 395\\n- Open issues: 15\\n- Primary language: JavaScript\\n- Languages: JavaScript (51.0%), Python (39.5%), Kotlin (8.7%), Dockerfile (0.7%)\\n- License: GNU General Public License v3.0 (GPL-3.0)\\n- Topics: android, fitbit, google-fit, health-connect, healthconnect, rest-api, samsung-health\\n- Default branch: main\\n- Homepage: https://hcgateway.shuchir.dev/\\n- Created: 2023-08-20T03:52:54Z\\n- Last push: 2025-12-12T22:06:28Z\\n- Contributors: 5 (top: ShuchirJ, dependabot[bot], alexdaffern, JonaVDM, vaddisrinivas)\\n- Releases: 12\\n- Latest release: v2.2.1 (2025-05-31T05:06:32Z)\\n[...]\\nHCGateway is a platform to let developers connect to the Health Connect API on Android via a REST API. You can view the documentation for the REST API here\\n\\n \\n\\n# How it works\\n[...]\\nThe platform consists of two parts:\\n[...]\\n- A REST API/server\\n- A mobile application that pings the server periodically\\n[...]\\n> [!NOTE]\\n> This project is still in development. The API may change without notice. The mobile application is also in development and may not work as expected. Please report any issues you find.\\n[...]\\n- The mobile application pings the server every\\n[...]\\n2 hours to send data. The following data types are supported-\\n[...]\\n- Each sync takes approximatly 15 minutes\\n- The server encrypts the data using Fernet encryption, then stores it in a mongo database.\\n- The server exposes an API to let developers login and get the data for their users.\\n\\nThe platform allows two-way sync, which means you can make changes to your local Health Connect store remotely via REST api.\\n[...]\\n- There is a live instance hosted at https://api.hcgateway.shuchir.dev/ that you can use. You can also host your own instance. To learn more on Self Hosting, skip down to the Self Hosting section.\\n[...]\\n- You can install the mobile application through the APK file. You can find the latest APK file in the releases section of this repository.\\n- The minimum requirement for the APK file is Android Oreo (8.0)\\n- Once you install the Android APK file, signup by entering a username and password\\n- Once you see a screen showing your user id, you have successfully signed up. Your data will sync in 2 hours. This is customizable. You also have the option to force a sync any time through the application.\\n[...]\\n## REST API\\n[...]\\nThe documentation for the REST API can be found at https://hcgateway.shuchir.dev/\\n[...]\\nThe mobile application is a simple Android application that pings the server every 2 hours (customizable) to send data. It starts a foreground service to do this, and the service will run even if the application is closed. The application is written in React Native.\\n[...]\\n## Self Hosting\\n[...]\\nYou can self host the server and database for full control. However, if you'd like to push from your own server, you must build the mobile application yourself. You can find the instructions to build the mobile application below. This is because the app is packaged with the firebase key, and cannot change it dynamically. Again, firebase is only necessary if you want to push from your own server.\\n[...]\\n- You’ll need to configure environment variables before starting the services.\\n - Copy the provided `.env.example` file to `.env` inside the `api/` directory and configure it as necessary. When setting the `MONGO_URI` variable, the following format should be used: `mongodb://: @db:27017/\\n[...]\\n?authSource=admin`\\n - Set the mongo DB username and password in the `docker-compose.yml` file as well.\\n[...]\\nThe project uses Docker Compose for easier container orchestration. To run the API using Docker Compose, run the following command:\\n ```bash\\n docker-compose up -d\\n ```\\n[...]\\nYou can access the API at `http://localhost:6644`\\n[...]\\n: Python 3\\n[...]\\ncd` into the api\\n[...]\\nthe `api/`\\n[...]\\n- run\\n[...]\\n3 main.py` to start the server\",\n \"position\": 1\n },\n {\n \"url\": \"https://developer.android.com/health-and-fitness/health-connect/migration/fit\",\n \"title\": \"Fit migration guide  |  Android health & fitness  |  Android Developers\",\n \"description\": \"> Caution: The Google Fit API (including the REST API) will only be\\n> supported until the end of 2026. We recommend migrating to the Google Health API\\n> for cloud-based integrations or Health Connect for step tracking and\\n> mobile-first apps.\\n[...]\\n| Application Type | Recommended Path | Primary Reason |\\n| --- | --- | --- |\\n| Step Tracking App | Health Connect | Mobile-centric reading of aggregated steps data from various sources. |\\n| Fitness Trackers Companion App | Google Health API | Web-centric platform requiring OAuth for user integration. |\\n| Health and Fitness Platform | The Google Health API & Health Connect | Use the Google Health API for Fitbit/Google device data and Health Connect for on-device aggregated data. |\\n[...]\\n| Current Integration | Recommended Path | Availability |\\n| --- | --- | --- |\\n| Google Fit (Android & REST API) | Google Health API | Available |\\n| Reading mobile steps (with Google Fit Recording API) | Health Connect | Available |\\n| Fit API on Wear OS | Health Services | Available |\\n| Fitbit Web API | Google Health API | Available |\\n| Recording API on Mobile | Health Connect | Available |\\n| Health Connect | Keep existing integration or add the Google Health API | Available |\\n[...]\\nUse this path if your app is a web-based platform or requires server-to-server\\n(S2S) interactions.\\n[...]\\n| Feature | Fit API (Android/REST) | Google Health API |\\n| --- | --- | --- |\\n| Project Setup | Google Cloud Console | Create Google Cloud project |\\n| OAuth Configuration | Android or Web application type | Web application type |\\n| Data Architecture | `com.google` prefixed types | Unified Google Health API data types |\\n| App Registration | Create Google Cloud project | Create Google Cloud project and enable the Google Health API |\\n[...]\\n| Feature | Fit API for Android | Health Connect |\\n| --- | --- | --- |\\n| Registration | Google Cloud Console | Play Store project and health apps declaration |\\n| Authentication | OAuth 2.0 required | No OAuth required (on-device permissions) |\\n| Data storage | Cloud-centric | Device-centric (on-device) |\\n| Audience | Legacy Android developers | Modern Android mobile developers |\\n| Permissions | OAuth scopes | Android manifest permissions |\\n[...]\\n, add Health Connect to\\n[...]\\napp. The\\n[...]\\nlocal steps data\\n[...]\\nusing Health Connect\\n[...]\\n. | Use\\n[...]\\n|---|---|\\n| Phone | Wear |\\n| Transition to the Google Health API. | Not applicable. Use Health Connect from your mobile app and not the wearable. |\\n[...]\\n| Phone | Wear |\\n| Start/stop: Not applicable. The application should track the state of ongoing sessions internally. Read/write: Transition to the Google Health API. | Start/stop: Use Health Services (ExerciseClient) Read/write: Use Health Connect with your mobile app. For specific workflows, we advise the following: - Inserting a session: Developers should use Health Connect with their mobile app and either insert an `ExerciseSessionRecord` or a `SleepSessionRecord` accordingly. |\\n[...]\\nIf your app connects to Google Fit for data sharing, follow guidance on\\nmigrating existing and new users to Health Connect or the Google Health API in\\nthese sections:\\n[...]\\n|---|---|\\n| check Do this | close Don't do this |\\n| Offer Health Connect or the Google Health API as a new option in your app. Focus on user benefits like richer data and insights, privacy, and security. | Ask users to disconnect from Google Fit. |\\n[...]\\nTo offer a similar experience to new users of your app, we recommend\\nbuilding an integration with Health Connect or the\\nGoogle Health API.\\n[...]\\nHealth Connect offers access to new data sources and types to provide a\\nricher experience for users, with data stored securely on-device. The Google\\nHealth API provides a web-centric platform for Fitbit and Google device data.\\n[...]\\n|---|---|\\n| check Do this | close Don't do this |\\n| Include Health Connect or the Google Health API in your app's setup flow. | Offer Fit as an app that users can connect to once Health Connect is available. |\",\n \"position\": 2\n },\n {\n \"url\": \"https://developer.android.com/health-and-fitness/health-connect\",\n \"title\": \"Health Connect  |  Android health & fitness  |  Android Developers\",\n \"description\": \"### Health Connect: simplify connectivity between apps\\n[...]\\nThe Medical Records feature extends Health Connect to include basic medical data in the Fast Healthcare Interoperability Resources (FHIR®) format. It provides APIs for applications to read and write medical data, along with a user interface for browsing the data and managing permissions.\\n[...]\\n### CRUD operations on record and data synchronization\\n[...]\\nThe platform provides standard insert, update, and delete functions for recorded data. Health Connect also includes functionality that allows client apps to synchronize data out of Health Connect.\\n[...]\\n### Android compatibility\\n[...]\\nHealth Connect is compatible with Android SDK version 28 (Pie) and higher. The SDK allows client apps to determine whether the Health Connect API is on the user's Android-powered device. If it isn't, Health Connect triggers an availability check to determine whether the user's device is compatible.\\n[...]\\n### Reading with Health Connect\\n[...]\\nEnable applications to continuously access a user's health data, even when the app is running in the background. This ensures uninterrupted access for analysis, synchronization, and utilization, offering a seamless health tracking experience.\\n[...]\\n### Introducing new APIs for health and fitness in Health Connect by Android\\n[...]\\nLearn about the new Health Connect APIs.\\n[...]\\n### Health & Fitness Google Developer Newsletter May 2025\\n[...]\\nWe shipped our first Health & Fitness\\n[...]\\n! Learn about new features, updates, and community\\n[...]\\n### Unlock deeper health insights: Health Connect Jetpack SDK is now in beta and new feature updates\\n[...]\\nWe're excited to announce significant Health Connect updates like the Jetpack SDK Beta, new datatypes and new permissions that will enable richer, more insightful app functionalities.\\n[...]\\n## Health Connect Jetpack Library 1.1.0 is now stable\\n[...]\\nWe are excited to announce that the Health Connect Jetpack library has reached its 1.1.0 stable release. This milestone provides developers with the confidence and reliability needed to build production-ready health and fitness experiences at scale.\",\n \"position\": 3\n },\n {\n \"url\": \"https://developer.android.com/health-and-fitness/guides/health-connect/develop/get-started\",\n \"title\": \"Get started with Health Connect  |  Android health & fitness  |  Android Developers\",\n \"description\": \"> This guide is compatible with Health Connect version 1.1.0-alpha12.\\n[...]\\nThis guide shows you how you can begin using\\n[...]\\nConnect on your app.\\n[...]\\nThe Health Connect app is responsible for handling all the requests that your\\napplication sends through the Health Connect SDK. These requests include storing\\ndata and managing its read and write access.\\n[...]\\nAccess to Health Connect depends on the Android version installed on the phone.\\nThe following sections outline how to handle several recent versions of Android.\\n[...]\\nStarting Android 14 (API Level 34), Health Connect is part of the\\nAndroid Framework. This version of Health Connect is a framework module. With\\nthat, there's no setup necessary.\\n[...]\\nOn Android 13 (API Level 33) and lower versions, Health Connect is not part of\\nthe Android Framework. With that, you need to install the\\nHealth Connect app from the Google Play Store.\\n[...]\\n## Step 2: Add the Health\\n[...]\\nSDK to your app\\n[...]\\nThe Health Connect SDK is responsible for using the Health Connect API to\\nsend requests in performing operations against the datastore in the Health\\nConnect app.\\n[...]\\nAdd the Health Connect SDK dependency in your module-level `build.gradle` file:\\n[...]\\ndependencies {\\n...\\nimplementation \\\"androidx.health.connect:connect-client:1.2.0-alpha04\\\"\\n...\\n}\\n[...]\\n> [!NOTE]\\n> Note: The Health Connect SDK supports Android 8 (API level 26) or higher, while the Health Connect app is only compatible with Android 9 (API level 28) or higher. This means that third-party apps can support users with Android 8, but only users with Android 9 or higher can use Health Connect.\\n[...]\\n### Get a Health Connect client\\n[...]\\n`HealthConnectClient` is an entry point to the Health Connect API.\\nIt allows the app to use the datastore in the Health Connect app. It\\nautomatically manages its connection to the underlying storage layer and handles\\nall IPC and serialization of outgoing requests and incoming responses.\\n[...]\\nTo get a client instance, declare the Health Connect package name in your\\nAndroid manifest first.\\n[...]\\nThen in your Activity, check if Health Connect is installed\\nusing `getSdkStatus`. If it is, obtain a\\n`HealthConnectClient` instance.\\n[...]\\nAfter creating a client instance, your app needs to request\\n[...]\\nfrom\\nthe user. Users must be\\n[...]\\nto grant or deny\\n[...]\\nat any time.\\n[...]\\n### Onboard users\\n[...]\\nMany apps have a custom onboarding flow such as feature education or asking user\\nconsent. To enable Health Connect to launch your onboarding flow, add the\\nfollowing to your manifest:\\n[...]\\nUsers may initiate the connection to your app directly from the Health\\nConnect app, rather than from within your app. If your app requires any\\nadditional interaction beyond being granted permission to read or write data,\\nprovide an onboarding activity.\\n[...]\\nYour users might use other apps that sync data with Health Connect for your app\\nto access. If the user has not set up these apps to write to Health Connect\\nyet, you can use the Matchmaking API to seamlessly connect\\nthese apps for your users.\\n[...]\\n### Read data\\n[...]\\nYou can read your data individually using `readRecords`.\\n[...]\\nYou can also read your data in an aggregated manner using\\n[...]\\n> [!IMPORTANT]\\n> Important: Health Connect can read data for up to 30 days prior to the time permission was granted. If you would like your app to read records beyond 30 days, use the `PERMISSION_READ_HEALTH_DATA_HISTORY` permission. See Read restrictions for more information.\\n[...]\\n- Health Connect SDK (available on Jetpack): Include this SDK in your application to use the Health Connect API.\\n- API reference: Take a look at the Jetpack reference for the Health Connect API.\\n- Declare use of data types: In the Play Console, declare access to the Health Connect data types that your app reads from and writes to.\\n- Optional GitHub code sample and codelab: See the GitHub code sample repository and the codelab exercise to help you get started.\",\n \"position\": 4\n },\n {\n \"url\": \"https://openwearables.io/integrations/google-health-connect\",\n \"title\": \"Google Health Connect API Integration | Open Wearables\",\n \"description\": \"Google Health Connect aggregates health and fitness data from Android devices and third-party apps. Open Wearables handles Android permissions, data sync, and normalization. One unified API for your backend.\\n[...]\\nstandard consent screen\\n[...]\\nThe same endpoints work for every provider. No Health Connect-specific parsing logic, no Android platform dependencies in your backend.\\n[...]\\n| Native Health Connect SDK | SaaS API | Open Wearables |\\n| --- | --- | --- |\\n| Health Connect permissions | You build and maintain the Android permission flow | Handled by provider SDK | Handled by Open Wearables SDK |\\n| Cloud API access | No native cloud API — data lives on-device only | Vendor-hosted REST API | Unified REST API, self-hosted |\\n| Data normalization | Health Connect-specific data types | Provider-defined schema | Unified schema across all providers |\\n| Multi-provider support | Separate integration per provider | Depends on vendor tier | One unified API for all providers |\\n| Per-user pricing | No platform fee | Charged per connected user | $0 per user |\\n| Data ownership | You own all data | Vendor stores your users' data | You own all data |\\n| Android version changes | Your team tracks every Android update | Vendor absorbs changes | Open Wearables absorbs upstream changes |\\n[...]\\n| Aspect | Native Health Connect SDK | SaaS APIs | Open Wearables |\\n| --- | --- | --- | --- |\\n| Health Connect permissions | You build and maintain the Android permission flow | Handled by provider SDK | Handled by Open Wearables SDK |\\n| Cloud API access | No native cloud API — data lives on-device only | Vendor-hosted REST API | Unified REST API, self-hosted |\\n| Data normalization | Health Connect-specific data types | Provider-defined schema | Unified schema across all providers |\\n| Multi-provider support | Separate integration per provider | Depends on vendor tier | One unified API for all providers |\\n| Per-user pricing | No platform fee | Charged per connected user | $0 per user |\\n| Data ownership | You own all data | Vendor stores your users' data | You own all data |\\n| Android version changes | Your team tracks every Android update | Vendor absorbs changes | Open Wearables absorbs upstream changes |\\n[...]\\nGoogle Health Connect has no cloud API. Open Wearables bridges the gap with a native Android SDK that reads Health Connect data on-device and syncs it to your backend over a standard REST interface.\\n[...]\\nHealth Connect has its own permission model and data types. Open Wearables normalizes everything before it reaches your server. Your backend sees the same schema it uses for Garmin or Oura.\\n[...]\\nOpen Wearables is open-source and self-hosted. The Google Health Connect integration uses a mobile SDK to sync data from Health Connect on-device.\\n[...]\\nOpen Wearables handles Health Connect permissions, on-device sync, and normalization. MIT licensed. $0 per user.\\n[...]\\nYes. Open Wearables includes a native Android SDK that integrates with Google Health Connect. Because Health Connect is on-device only with no cloud API, the SDK reads data on the user's device and syncs it to your Open Wearables backend.\\n[...]\\nGoogle Health Connect is Google's current health data platform for Android, replacing the older Google Fit API. Open Wearables integrates with Health Connect, which covers data from Wear OS, Samsung Health, and Android health apps.\",\n \"position\": 5\n }\n ]\n }\n}", "tool_call_id": "call_03_oT6jirQn78PFhDIpiOBS5554" }, { "role": "tool", "name": "web_search", "content": "{\n \"success\": true,\n \"data\": {\n \"web\": [\n {\n \"url\": \"https://developers.google.com/fit/rest/v1/reference\",\n \"title\": \"API Reference  |  Google Fit  |  Google for Developers\",\n \"description\": \"API Reference | Google Fit | Google for Developers\\n[...]\\nThis API reference organizes information by resource type, with each type having data representations and methods.\\n[...]\\nThe API covers resource types including Users.dataSources, Users.dataSources.dataPointChanges, Users.dataSources.datasets, Users.dataset, and Users.sessions.\\n[...]\\nYou can perform operations like creating, deleting, getting, listing, and updating data sources.\\n[...]\\n| Creates a new data source\\n[...]\\nall data sources belonging to this user\\n[...]\\ndataset updates, with a unique\\n[...]\\nsource identifier. Not all\\n[...]\\nstream ID, so\\n[...]\\ndata collected by updated versions\\n[...]\\napplication/device can still be considered to belong to the same data source. Data sources are identified using a string generated by the server, based on the contents of the source being created. The`dataStreamId` field should not be set when invoking this method. It will be automatically generated by the server with the correct format. If a`dataStreamId` is set, it must match\\n[...]\\nformat that the server would generate. This format is a combination of some fields from the data source, and has a specific\\n[...]\\ndoesn't match\\n[...]\\ndelete | `DELETE  /userId/dataSources/\\n[...]\\nId` | De\\n[...]\\nthe specified data source. The request will fail if the data source contains any data points. |\\n[...]\\n| list |\\n[...]\\nGET  /userId/dataSources` | Lists all data sources that are visible to the developer, using the OAuth scopes provided. The list is not exhaustive; the user may have private data sources that are only visible to other developers, or calls using other scopes. |\\n[...]\\n| update | `PUT  /userId/dataSources/dataSourceId` | Updates the specified data source. The`dataStreamId`,`dataType`,`type`,`dataStreamName`, and`device` properties with the exception of`version`, cannot be modified. Data sources are identified by their`dataStreamId`. |\\n[...]\\n| Method | HTTP request | Description |\\n| --- | --- | --- |\\n[...]\\n| URIs relative to https://www.googleapis.com/fitness/v1/users, unless otherwise noted |\\n| list | `GET  /userId/dataSources/dataSourceId/dataPointChanges` | Queries for user's data point changes for a particular data source. |\\n[...]\\n| delete | `DELETE  /userId/dataSources/dataSourceId/datasets/datasetId` | Performs an inclusive delete of all data points whose start and end times have any overlap with the time range specified by the dataset ID. For most data types, the entire data point will be deleted. For data types where the time span represents a consistent value (such as`com.google.activity.segment`), and a data point straddles either end point of the dataset, only\\n[...]\\noverlapping portion of the data point will be deleted. |\\n[...]\\n| get | `GET  /userId/dataSources/dataSourceId/datasets/datasetId` | Returns a dataset containing all data points whose start and end times overlap with the specified range of the dataset minimum start time and maximum end time. Specifically, any data point whose start time is less than or equal to the dataset end time and whose end time is greater than or equal to the dataset start time. |\\n[...]\\n| patch | `PATCH  /userId/dataSources/dataSourceId/datasets/datasetId` | Adds data points to a dataset. The dataset need not be previously created. All points within the given dataset will be returned with subsquent calls to retrieve this dataset. Data points can belong to more than one dataset. This method does not use patch semantics: the data points provided are merely inserted, with no existing data replaced. |\\n[...]\\n| Method | HTTP request | Description |\\n| --- | --- | --- |\\n| URIs relative to https://www.googleapis.com/fitness/v1/users, unless otherwise noted |\\n| aggregate | `POST  /userId/dataset:aggregate` | Aggregates data of a certain type or stream into buckets divided by a given type of boundary. Multiple data sets of multiple types and from multiple sources can be aggregated into exactly one bucket type per request. |\",\n \"position\": 1\n },\n {\n \"url\": \"https://developers.google.com/fit/rest/v1/get-started\",\n \"title\": \"Getting Started with the REST API  |  Google Fit  |  Google for Developers\",\n \"description\": \"# Getting Started with the REST API\\n[...]\\nThis tutorial shows you how to activate access to the Fitness REST API, obtain OAuth access\\ntokens, and invoke the API methods using HTTP requests.\\n\\nTo use the Fitness REST API, it is important that you understand the basics of\\nRESTful web services\\nand JSON representations.\\n[...]\\n## Get a Google Account\\n[...]\\nTo use the Fitness REST API, you need a Google Account.\\nIf you already have an account, then you're all set. You may also want to\\ncreate a separate Google Account for testing purposes.\\n[...]\\n## Request an OAuth 2.0 client ID\\n[...]\\nFollow these steps to request an OAuth 2.0 client ID for the Fitness API.\\n[...]\\n2.0 Client ID is a string of characters\\n[...]\\n08166311\\n[...]\\no7r\\n[...]\\npn95qc4ei\\n[...]\\n.googleusercontent.com\\n[...]\\n## Try the REST API in the OAuth Playground\\n[...]\\nThe OAuth Playground is the easiest way to familiarize yourself with the\\nFitness REST API by submitting HTTP requests and observing the responses before\\nyou write any client code.\\n[...]\\nTo authorize the Fitness REST API in the OAuth Playground:\\n[...]\\n1. Go to the OAuth Playground.\\n2. Under Step 1 Select & authorize APIs , expand Fitness v1 and select the Fitness scopes to use.\\n3. Click the Authorize APIs button, select the Google API Console project to use, and click Allow when prompted. You will be able to access and modify data associated with the selected Google API Console account.\\n4. Click the Exchange authorization code for tokens button. The OAuth Playground automatically includes this header in the `Authorization:` request header when you submit HTTP requests. Note that the access token will expire after 60 minutes (3600 seconds).\\n[...]\\n### Submit HTTP requests\\n[...]\\nThe following examples demonstrate how to send HTTP requests to list all\\navailable data sources, and to create a new data source. For the Fitness REST\\nAPI, the URI format is:\\n\\n`https://www.googleapis.com/fitness/v1/resourcePath?parameters`\\n[...]\\nTo list all available data sources:\\n[...]\\n1. In HTTP Method , select GET.\\n2. In Request URI , enter `https://www.googleapis.com/fitness/v1/users/me/dataSources`\\n3. Click Send the request.\\n[...]\\nThe request and the response appear on\\n[...]\\nright side of\\n[...]\\nIf the\\nrequest is\\n[...]\\nTo create a data source:\\n[...]\\n1. In HTTP Method , select POST.\\n2. In Request URI , enter `https://www.googleapis.com/fitness/v1/users/me/dataSources`\\n3. Click Enter request body.\\n4. In the Request Body window, copy and paste the following JSON:{\\n \\\"dataStreamName\\\": \\\"MyDataSource\\\",\\n \\\"type\\\": \\\"derived\\\",\\n \\\"application\\\": {\\n \\\"detailsUrl\\\": \\\"http://example.com\\\",\\n \\\"name\\\": \\\"Foo Example App\\\",\\n \\\"version\\\": \\\"1\\\"\\n },\\n \\\"dataType\\\": {\\n \\\"field\\\": [\\n {\\n \\\"name\\\": \\\"steps\\\",\\n \\\"format\\\": \\\"integer\\\"\\n }\\n ],\\n \\\"name\\\": \\\"com.google.step_count.delta\\\"\\n },\\n \\\"device\\\": {\\n \\\"manufacturer\\\": \\\"Example Manufacturer\\\",\\n \\\"model\\\": \\\"ExampleTablet\\\",\\n \\\"type\\\": \\\"tablet\\\",\\n \\\"uid\\\": \\\"1000001\\\",\\n \\\"version\\\": \\\"1\\\"\\n }\\n}\\n\\n5. In the Request Body window, click Close.\\n6. Click Send the request.\\n[...]\\nThe request and the response appear on the right side of the page. The request\\nincludes the OAuth access token in the `Authorization` header:\\n\\n`Authorization: Bearer ya29.OAuthTokenValue`\\n[...]\\n## Use cURL to access the Fit REST API\\n[...]\\nYou can use the cURL command line tool to access the\\nFit REST API. You will need an OAuth access token to make requests\\nusing cURL (see the preceding instructions).\\nNote that access tokens expire after an hour. The following example shows a\\nsimple bash script to list all data sources.\\n[...]\\n```\\n#!/bin/bash\\nACCESS_TOKEN=\\\"\\\"\\ncurl \\\\\\n -H \\\"Content-Type: application/json\\\" \\\\\\n -H \\\"Authorization: Bearer $ACCESS_TOKEN\\\" \\\\\\n https://www.googleapis.com/fitness/v1/users/me/dataSources\\n\\n```\\n[...]\\n## Next steps\\n[...]\\nTo learn more about the REST API, see these pages:\\n[...]\\n- Fitness Data Types\\n- Sessions\\n- How to Record a Workout\",\n \"position\": 2\n },\n {\n \"url\": \"https://developers.google.com/fit/rest\",\n \"title\": \"REST API | Google Fit\",\n \"description\": \"# REST API\\n\\n Figure 1 : Google Fit REST API.\\n\\nThe Google Fit REST API enables you to store and read health and wellness data in the\\nfitness store from apps on any platform.\\n\\nThe REST API provides resources and methods to:\\n\\n- Create, obtain, list, and modify data sources. A data source represents a unique source of\\nsensor data. All health and wellness data in the fitness store is associated with a particular data source.\\n- Create, obtain, aggregate, and delete datasets. A dataset represents a set of\\ndata points from a particular data source.\\n- List data points and add them to a dataset. A data point represents a sample from a particular\\ndata source.\\n- Create, list, and delete sessions. A session represents a time interval with associated\\nmetadata.\",\n \"position\": 3\n },\n {\n \"url\": \"https://developers.google.com/fit/rest/v1/data-sources\",\n \"title\": \"Managing Data Sources  |  Google Fit  |  Google for Developers\",\n \"description\": \"# Managing Data Sources\\n[...]\\nThe Fitness REST API lets you create, obtain, and update data sources. A data source represents\\na unique source of sensor data. You use data sources to insert fitness data into the fitness\\nstore, and you can retrieve fitness data inserted by a particular data source.\\n\\nData sources are represented by the `Users.dataSources`\\nresource.\\n[...]\\n> [!IMPORTANT]\\n> Important: For best practices when managing user data, see Responsible use of Google Fit.\\n[...]\\n## Create a data source\\n[...]\\nThis example demonstrates how to create a new data source named \\\"MyDataSource\\\"\\nthat provides step count increments.\\n[...]\\n: `https://www.googleapis.com/fitness/v1/users/me/dataSources`\\n[...]\\nResponse\\n\\n: If the data source is created successfully, the response is a `200 OK` status\\ncode. The response body contains a JSON representation of the data source,\\nincluding a `datasource.dataStreamId`\\nproperty that you can use as the data source ID for subsequent requests.\\n[...]\\n## Get a particular data source\\n[...]\\nThis example demonstrates how to retrieve the data source (\\\"MyDataSource\\\")\\nthat you created in the previous example. When you create a new data source,\\nthe `dataStreamId` includes a unique identifier (shown as \\\"1234567890\\\" in these\\nexamples). This is your developer project number, and it will be the same for\\nall requests made using that particular developer account. Be sure to use the\\n`dataStreamId` from the data source you created.\\n[...]\\nHTTP method\\n: GET\\n[...]\\nRequest URL\\n: `https://www.googleapis.com/fitness/v1/users/me/dataSources/derived:com.google.step_count.delta:1234567890:Example%20Manufacturer:ExampleTablet:1000001:MyDataSource`\\n[...]\\nResponse\\n: If the data source exists, the response is a `200 OK` status code. The response body contains a\\nJSON representation of the data source.\\n[...]\\n## Get aggregated data\\n[...]\\nThis example demonstrates how to query a specific data source for aggregated\\ndata, in this case `estimated_steps`, which is the data source used to show\\nstep count in the Google Fit app. Note that timestamps in the JSON request\\nbody are in milliseconds.\\n[...]\\nRequest URL\\n: `https://www.googleapis.com/fitness/v1/users/me/dataset:aggregate`\\n[...]\\n{\\n \\\"aggregateBy\\\": [{\\n \\\"dataSourceId\\\":\\n \\\"derived:\\n[...]\\n.step_count.delta:com.google.android.gms:estimated_steps\\\"\\n }],\\n \\\"bucketByTime\\\": { \\\"durationMillis\\\": 86400000 },\\n \\\"startTimeMillis\\\":\\n[...]\\n45428480000\\n[...]\\n\\\"endTimeMillis\\\": 1455062400000\\n }\\n[...]\\nResponse\\n\\n: If the data source(s) exist, the response is a `200 OK` status code. The\\nresponse body contains a JSON representation of the data source.\\n[...]\\n## Update a data source\\n[...]\\nThis example demonstrates how to update the name and device version for a data\\nsource.\\n[...]\\nHTTP method\\n: PUT\\n\\nRequest URL\\n: `https://www.googleapis.com/fitness/v1/users/me/dataSources/derived:com.google.step_count.delta:1234567890:Example%20Manufacturer:ExampleTablet:1000001:MyDataSource`\\n[...]\\n```\\n {\\n \\\"dataStreamId\\\": \\\"derived:com.google.step_count.delta:1234567890:Example Manufacturer:ExampleTablet:1000001:\\n[...]\\nDataSource\\\",\\n \\\"dataStreamName\\\": \\\"MyDataSource\\\",\\n \\\"\\n[...]\\n\\\": \\\"derived\\\",\\n \\\"application\\n[...]\\n\\\"\\n[...]\\n\\\"Foo Example App\\n[...]\\nfield\\\": [\\n[...]\\n\\\"device\\n[...]\\n\\\"tablet\\\",\\n[...]\\n000\\n[...]\\n\\\"2.0\\\"\\n[...]\\n}\\n[...]\\nResponse\\n\\n: If the data source is updated successfully, the response is a `200 OK` status\\ncode. The response body contains a JSON representation of the data source.\\n[...]\\n## Delete a data source\\n[...]\\nThis example demonstrates how to delete a data source.\\n[...]\\nRequest URL\\n: `https://www.googleapis.com/fitness/v1/users/me/dataSources/derived:com.google.step_count.delta:1234567890:Example%20Manufacturer:ExampleTablet:1000001:MyDataSource`\\n[...]\\nResponse\\n: If the data source is deleted successfully, the response is a `200 OK` status\\ncode. The response body contains a JSON representation of the data source that\\nwas deleted.\",\n \"position\": 4\n },\n {\n \"url\": \"https://developers.google.com/fit/rest/v1/running-examples\",\n \"title\": \"Running the Examples  |  Google Fit  |  Google for Developers\",\n \"description\": \"The examples in the following pages show you how to construct HTTP requests to invoke the Fitness\\nREST API:\\n[...]\\n- Working with Sessions\\n- Working with Datasets\\n- Managing Data Sources\\n[...]\\nTo try these examples, you need to obtain an OAuth token first. Then you can submit\\nthe example requests without having to build an application by either:\\n[...]\\n- Using curl from the command line.\\n- Using the OAuth Playground from your browser.\\n[...]\\n## Submit requests with the OAuth Playground\\n[...]\\nThis process is described in Getting Started. The examples\\nindicate the HTTP method to use and provide the request body.\\n[...]\\n## Submit requests with curl\\n[...]\\nPrerequisites:\\n[...]\\n- Obtain an OAuth token as described in Getting Started.\\n- Install curl if it is not installed on your machine.\\n[...]\\nFore more information about OAuth tokens and authorization, see\\nAuthorizing Requests.\\n[...]\\nTo run each of the examples:\\n[...]\\n1. Run the resulting command on the terminal.\\n2. Edit the command to replace the OAuth token value and the name of the file that contains the request body.\\n3. Copy the `curl` command from the example and paste it into a terminal window.\\n4. Copy and paste the request body from the example into a plain text file.\\n[...]\\n`curl` sends the HTTP request with the authorization header and shows the response on the terminal.\",\n \"position\": 5\n }\n ]\n }\n}", "tool_call_id": "call_04_zaKPLwNb50lmWM7sA9Re6774" }, { "role": "assistant", "content": "", "reasoning": "Great, I have a lot of initial information. Let me now dig deeper into specific areas:\n\n1. MacroFactor - I found an excellent reverse-engineered API via GitHub (sjawhar/macrofactor). It uses Firebase/Firestore backend. There's also an MCP server available. Let me get more details.\n\n2. MyFitnessPal - There's an official API but it's \"private\" (requires approval). Let me check for unofficial/alternative access methods.\n\n3. Fitbit - Clear Web API with OAuth 2.0. Let me dig into the specifics.\n\n4. Google Health Connect - It's on-device Android only, but HCGateway provides a bridge. Let me investigate that more.\n\n5. Google Fit - Has a REST API but is being deprecated by end of 2026 in favor of Google Health API. Need to check the Google Health API.\n\n6. Hevy - already connected.\n\n7. Cronometer - need to research.\n\n8. Health data aggregators - HCGateway, Open Wearables, etc.\n\nLet me now search for Cronometer, Google Health API, and get more details on a few others.", "finish_reason": "tool_calls", "reasoning_content": "Great, I have a lot of initial information. Let me now dig deeper into specific areas:\n\n1. MacroFactor - I found an excellent reverse-engineered API via GitHub (sjawhar/macrofactor). It uses Firebase/Firestore backend. There's also an MCP server available. Let me get more details.\n\n2. MyFitnessPal - There's an official API but it's \"private\" (requires approval). Let me check for unofficial/alternative access methods.\n\n3. Fitbit - Clear Web API with OAuth 2.0. Let me dig into the specifics.\n\n4. Google Health Connect - It's on-device Android only, but HCGateway provides a bridge. Let me investigate that more.\n\n5. Google Fit - Has a REST API but is being deprecated by end of 2026 in favor of Google Health API. Need to check the Google Health API.\n\n6. Hevy - already connected.\n\n7. Cronometer - need to research.\n\n8. Health data aggregators - HCGateway, Open Wearables, etc.\n\nLet me now search for Cronometer, Google Health API, and get more details on a few others.", "tool_calls": [ { "id": "call_00_nEa9OR91BJe4kOISTyTg3564", "call_id": "call_00_nEa9OR91BJe4kOISTyTg3564", "response_item_id": "fc_00_nEa9OR91BJe4kOISTyTg3564", "type": "function", "function": { "name": "web_search", "arguments": "{\"limit\": 5, \"query\": \"Cronometer API REST OAuth developer documentation nutrition data access 2024 2025\"}" } }, { "id": "call_01_1RjTxCK83O4FRsTugwS28448", "call_id": "call_01_1RjTxCK83O4FRsTugwS28448", "response_item_id": "fc_01_1RjTxCK83O4FRsTugwS28448", "type": "function", "function": { "name": "web_search", "arguments": "{\"limit\": 5, \"query\": \"Google Health API REST cloud platform developer documentation 2025 2026\"}" } }, { "id": "call_02_u7EDGgeFRSZoiEbHnP9v3622", "call_id": "call_02_u7EDGgeFRSZoiEbHnP9v3622", "response_item_id": "fc_02_u7EDGgeFRSZoiEbHnP9v3622", "type": "function", "function": { "name": "web_search", "arguments": "{\"limit\": 5, \"query\": \"MyFitnessPal unofficial API reverse engineered python library 2024 2025\"}" } }, { "id": "call_03_W2BIdvtev0P7nUylKmv93852", "call_id": "call_03_W2BIdvtev0P7nUylKmv93852", "response_item_id": "fc_03_W2BIdvtev0P7nUylKmv93852", "type": "function", "function": { "name": "web_search", "arguments": "{\"limit\": 5, \"query\": \"python-fitbit library PyPI fitbit API client 2024 2025\"}" } } ] }, { "role": "tool", "name": "web_search", "content": "{\n \"success\": true,\n \"data\": {\n \"web\": [\n {\n \"url\": \"https://pypi.org/project/cronometer-api-mcp/0.1.3/\",\n \"title\": \"cronometer-api-mcp v0.1.3\",\n \"description\": \"MCP server for Cronometer nutrition data using the mobile REST API\\n[...]\\n# cronometer-api-mcp\\n\\n \\n\\nAn MCP (Model Context Protocol) server for Cronometer nutrition tracking, built on the reverse-engineered mobile REST API.\\n[...]\\nUnlike cronometer-mcp, which takes a comprehensive GWT-RPC approach against Cronometer's web backend, this server talks to the same JSON REST API used by the Cronometer Android app -- with clean payloads and stable, versioned endpoints.\\n[...]\\n- **Food log** -- diary entries with food names, amounts, meal groups\\n- **Nutrition data** -- daily macro/micro totals and nutrition scores with per-nutrient confidence\\n- **Food search** -- search the Cronometer food database, get detailed nutrition info\\n- **Diary management** -- add/remove entries, copy days, mark days complete\\n- **Custom foods** -- create foods with custom nutrition data\\n- **Macro targets** -- read weekly schedule and saved templates\\n- **Fasting** -- view history and aggregate statistics\\n[...]\\n## Available Tools\\n[...]\\n### Food Log & Nutrition\\n[...]\\n| Tool | Description |\\n| --- | --- |\\n| `get_food_log` | Diary entries for a date with food names, amounts, and meal groups |\\n| `get_daily_nutrition` | Daily macro and micronutrient totals |\\n| `get_nutrition_scores` | Category scores (Vitamins, Minerals, etc.) with per-nutrient consumed amounts and confidence levels |\\n[...]\\n| Tool | Description |\\n| --- | --- |\\n| `search_foods` | Search the Cronometer food database by name |\\n| `get_food_details` | Full nutrition profile and serving sizes for a food |\\n[...]\\n## Remote Deployment\\n[...]\\nThe server supports remote deployment with OAuth 2.1 authorization (PKCE) for use with Claude.ai and other remote MCP clients.\\n[...]\\n### Environment Variables\\n[...]\\n| Variable | Required | Description |\\n| --- | --- | --- |\\n| `CRONOMETER_USERNAME` | Yes | Cronometer account email |\\n| `CRONOMETER_PASSWORD` | Yes | Cronometer account password |\\n| `MCP_TRANSPORT` | No | Transport mode: `stdio` (default), `sse`, or `streamable-http` |\\n| `MCP_AUTH_TOKEN` | No | Bearer token for remote auth (enables OAuth flow) |\\n| `MCP_OAUTH_CLIENT_ID` | No | OAuth client ID for remote clients |\\n| `MCP_OAUTH_CLIENT_SECRET` | No | OAuth client secret for remote clients |\\n| `MCP_BASE_URL` | No | Public base URL for OAuth metadata endpoints |\\n| `PORT` | No | Listen port for remote transports (default 8000) |\\n[...]\\n### Claude.ai Remote Connection\\n[...]\\nWhen deployed remotely with OAuth configured, connect from Claude.ai using:\\n[...]\\n- **Server URL**: `https://your-domain.com/mcp`\\n- **OAuth Client ID**: Value of `MCP_OAUTH_CLIENT_ID`\\n- **OAuth Client Secret**: Value of `MCP_OAUTH_CLIENT_SECRET`\\n[...]\\nClaude.ai will open a browser tab for authorization. Click **Authorize** to complete the connection.\\n[...]\\nThis server communicates with `mobile.cronometer.com` -- the same REST API used by the Cronometer Android/Flutter app. The API was reverse-engineered through:\\n[...]\\nthe live API\\n[...]\\nThe API uses two protocols:\\n[...]\\n- **v2 (`POST /api/v2/*`)** -- JSON-body auth, used for most operations (food search, diary read/write, nutrition, fasting, macros)\\n- **v3 (`DELETE /api/v3/user/{id}/*`)** -- Header-based auth (`x-crono-session`), used for diary entry deletion\\n[...]\\n# Get nutrition scores\\nscores = client.get_nutrition_scores()\",\n \"position\": 1\n },\n {\n \"url\": \"https://www.alibaba.com/product-insights/step-by-step-guide-to-setting-up-automatic-macro-logging-from-cronometer-to-samsung-health-for-consistency.html\",\n \"title\": \"Step-by-step Guide To Setting Up Automatic Macro Logging From Cronometer To Samsung Health For Consistency\",\n \"description\": \"- Cronometer API: Cronometer provides a stable, authenticated REST API (v2) that returns daily macro summaries as JSON. Access requires a Premium subscription—but crucially, it does not require sharing your data with external services.\\n[...]\\nyour Cronometer data, formats it, and prepares it for\\n[...]\\n- Samsung Health API via Samsung IOT Platform: Samsung Health doesn’t expose direct write access to nutrition logs for third parties. Instead, we use Samsung’s official IoT Platform (developer.samsung.com/iot), which allows authenticated devices to publish health events—including custom nutrition entries—into your personal Samsung Health timeline.\\n[...]\\n- ✅ Cronometer Premium account (required for API access)\\n- ✅ Samsung account linked to Samsung Health on your phone (Android or Galaxy Watch required)\\n- ✅ Python 3.9+ installed on your machine (tested on macOS 14+, Windows 11, Ubuntu 22.04)\\n- ✅ Basic command-line familiarity (Terminal or PowerShell)\\n- ✅ 15 minutes of uninterrupted time to configure OAuth tokens\\n[...]\\n1. Enable Cronometer API Access Go to https://cronometer.com/api/, sign in, and click “Get API Key.” Copy the key. Then navigate to Settings → API → Enable “Read Nutrition Data.” Do not enable “Write Data”—this sync is read-only from Cronometer.\\n[...]\\n2. Register an App on Samsung IOT Platform Visit https://developer.samsung.com/iot. Sign in with your Samsung account. Click “My Apps” → “Create App.” Name it “CronoHealth Sync,” select “Samsung Health” as the service, and choose “Personal Use” for scope. Under “Permissions,” enable: Nutrition > Write and User Profile > Read. Save. Note your Client ID and Client Secret.\\n[...]\\n3. Obtain Samsung Health OAuth Token Open a browser and paste this URL (replace`[CLIENT_ID]` with your actual Client ID):`https://api.samsung.com/oauth/authorize?response_type=code&client_id=[CLIENT_ID]&redirect_uri=https://localhost&scope=health_fitness.nutrition.write` Grant permission. The redirect will fail (no localhost server), but the authorization`code` appears in the browser’s address bar after`code=`. Copy that code. Then run this curl command (substitute values):`curl -X POST https://api.samsung.com/oauth/token \\\\\\\\ -d \\\\\\\"grant_type=authorization_code\\\\\\\" \\\\\\\\ -d \\\\\\\"code=[COPIED_CODE]\\\\\\\" \\\\\\\\ -d \\\\\\\"redirect_uri=https://localhost\\\\\\\" \\\\\\\\ -d \\\\\\\"client_id=[CLIENT_ID]\\\\\\\" \\\\\\\\ -d \\\\\\\"client_secret=[CLIENT_SECRET]\\\\\\\"` Save the returned`access_token` and`refresh_token`.\\n[...]\\n4. To get your`user_id`, make a GET request to`https://api.samsung.com/health/v2/users/me` with your`access_token` in the`Authorization: Bearer [TOKEN]` header.\\n[...]\\n5. Test & Schedule the Sync Run`python3 crono2shealth.py --test`. It should output “Sync successful: 4 macros written for 2024-04-15.” If it fails, check network connectivity, token expiry, and date formatting. Once confirmed, schedule it daily at 2:00 AM (after Cronometer’s daily summary refreshes): On macOS/Linux: Add to crontab:`0 2 * * * cd /path/to/health-sync && /usr/bin/python3 /path/to/health-sync/crono2shealth.py >> /path/to/health-sync/sync.log 2>&1` On Windows: Use Task Scheduler to run the script daily with full path to Python and script.\\n[...]\\n- Token Expiry: Samsung access tokens last 30 days. The script automatically refreshes them using your stored`refresh_token`—but if the script hasn’t run in >30 days, you’ll need to re-authenticate (repeat Step 3).\\n- Date Mismatch: Cronometer calculates daily totals based on your timezone setting. Ensure your Samsung account and device timezone match exactly—otherwise, “today” in Cronometer may be “yesterday” in Samsung Health.\\n- Missing Macros: If macros appear in Samsung Health but show “0” values, check Cronometer’s “Settings → Nutrition → Daily Totals” to confirm totals are enabled and visible on your dashboard.\\n[...]\\nNo. Samsung Health for iOS is\\n[...]\\nrequires the Android app or Galaxy Watch OS.\",\n \"position\": 2\n },\n {\n \"url\": \"https://support.cronometer.com/hc/en-us/sections/360000059323-Nutrition-Data-FAQ\",\n \"title\": \"Nutrition Data FAQ - Cronometer\",\n \"description\": \"Nutrition Data FAQ – Cronometer \\n\\n- Why does my nutrient breakdown say I consumed Trans Fats?\\n- Does Cronometer calculate Vitamin D produced from sunlight?\\n- Why does my nutrition breakdown say I consumed alcohol?\\n- How are Nutrition Scores calculated?\\n- Why have I met all my Amino Acid targets but not my Protein target?\\n- How are Net Calories calculated?\\n- How do I see the nutrient breakdown for one of my diary groups?\\n- How do I minus a food from my diary if I did not eat the whole item?\\n- Are there nutrients missing from Cronometer?\\n- How do I add a supplement to my diary?\\n- How to Calculate Your Body Fat Percentage\\n- Reading Nutrition Labels\\n- Do I log my foods raw or cooked?\\n- Are kcal the same as Calories?\\n- How do I Report an Issue with Nutrition data in Cronometer?\\n- Why does it say Coffee has carbohydrates?\\n- Why does my nutrition report say I had trans-fats when I logged natural foods?\\n- Data Sources\\n- Nutrition Scores\\n- Data Confidence Scores\",\n \"position\": 3\n },\n {\n \"url\": \"https://forums.cronometer.com/discussion/5723/api\",\n \"title\": \"API — Welcome To The Cronometer Community\",\n \"description\": \"API — Welcome To The Cronometer Community \\n\\n \\n\\n# API\\n[...]\\nMay 2023\\n[...]\\nSearched the logs and it looks like there hasn't been a request for a Cronometer API recently. Ideally, I'd really just like to access my own data via API and not have to download a csv file every time.\\n[...]\\nHowever, just making the download link accessible would be hugely beneficial and if I didn't have to click through the page manually. I can see the url that the file downloads from, but I don't see how I might generate a valid nonce.\\n[...]\\nJune 2024\\n[...]\\nLooking for this as well.\\n[...]\\nJune 2024\\n[...]\\nYes. Absolutely.\\n[...]\\nAgree 100%. There is a lot of correlational data that I can't view in the graphs that are provided and an API would fix that for me.\\n[...]\\nSeptember 2025\\n[...]\\nUpvote on API access. It's a feature I'd pay for\",\n \"position\": 4\n },\n {\n \"url\": \"https://pypi.org/project/cronometer-mcp/2.0.3/\",\n \"title\": \"cronometer-mcp v2.0.3\",\n \"description\": \"MCP server for Cronometer nutrition data — pull food logs, macros, and micronutrients via the Model Context Protocol\\n[...]\\n# cronometer-mcp\\n\\n \\n\\nAn MCP (Model Context Protocol) server that provides access to your Cronometer nutrition data. Pull detailed food logs, daily macro/micro summaries, manage diary entries, fasting, biometrics, and recurring foods — all from Claude, Cursor, or any MCP-compatible client.\\n[...]\\n**Requires a Cronometer Gold account** (or any paid tier that supports web login).\\n[...]\\n- **Food log\\n[...]\\ncalorie, protein, carb, fat, and fiber totals\\n- **Micronutrients** — detailed vitamin/mineral breakdown with period averages\\n- **Diary management** — add/remove food entries, copy entire days, mark days complete\\n- **\\n[...]\\nfoods** — create, list, and delete repeat items that auto-log on selected days\\n- **Macro targets** — read/write daily targets\\n[...]\\n- **Raw CSV export** — servings,\\n[...]\\n, or notes\\n- **Sync to disk** — download JSON exports and generate a markdown\\n[...]\\n### 2. Set credentials\\n[...]\\n```bash\\nexport CRONOMETER_USERNAME=\\\"your@email.com\\\"\\nexport CRONOMETER_PASSWORD=\\\"your-password\\\"\\n```\\n[...]\\nOr add them to a `.env` file in your project root (if your MCP client supports it).\\n[...]\\n### 3. Configure your MCP client\\n[...]\\n#### Claude Code (`.mcp.json`)\\n[...]\\n```json\\n{\\n \\\"mcpServers\\\": {\\n \\\"cronometer\\\": {\\n \\\"command\\\": \\\"cronometer-mcp\\\",\\n \\\"env\\\": {\\n \\\"CRONOMETER_USERNAME\\\": \\\"your@email.com\\\",\\n \\\"CRONOMETER_PASSWORD\\\": \\\"your-password\\\"\\n }\\n }\\n }\\n}\\n```\\n[...]\\n#### Claude Desktop (`claude_desktop_\\n[...]\\n.json`)\\n[...]\\n```json\\n{\\n \\\"mcpServers\\\": {\\n \\\"cronometer\\\": {\\n \\\"command\\\": \\\"cronometer-mcp\\\",\\n \\\"env\\\": {\\n \\\"CRONOMETER_USERNAME\\\": \\\"your@email.com\\\",\\n \\\"CRONOMETER_PASSWORD\\\": \\\"your-password\\\"\\n }\\n }\\n }\\n}\\n[...]\\n## Available Tools\\n[...]\\n### Food Log & Nutrition\\n[...]\\n| Tool | Description |\\n| --- | --- |\\n| `get_food_log` | Individual food entries with macros + micros for a date range |\\n| `get_daily_nutrition` | Daily macro totals (calories, protein, carbs, fat, fiber) |\\n| `get_micronutrients` | Detailed vitamin/mineral breakdown with period averages |\\n| `export_raw_csv` | Raw CSV export for any data type (servings, exercises, biometrics, etc.) |\\n[...]\\n## How It Works\\n[...]\\nCronometer does not have a public API for individual users. This server uses the same GWT-RPC (Google Web Toolkit Remote Procedure Call) protocol that the Cronometer web app uses internally:\\n[...]\\n1. Fetches the login page to get an anti-CSRF token\\n2. POSTs credentials to authenticate\\n3. Calls GWT-RPC `authenticate` to get a user ID\\n4. Calls GWT-RPC `generateAuthorizationToken` for short-lived export tokens\\n5. Downloads CSV exports using the token\\n6. Calls GWT-RPC methods directly for diary edits, fasting, biometrics, macro targets, and repeat items\\n[...]\\nSession cookies are persisted to `~/.local/share/cronometer-mcp/.session_cookies` so that subsequent invocations reuse the session without re-authenticating (Cronometer has aggressive login rate limiting).\\n[...]\\n## Python API\\n[...]\\nYou can also use the client directly in Python:\\n[...]\\n```python\\nfrom datetime import date, timedelta\\nfrom cronometer_mcp import CronometerClient\\n[...]\\nclient = CronometerClient() # reads from env vars\\n[...]\\n# Get today's food log\\nfoods = client.get_food_log()\\n[...]\\n# Get last 7 days of daily summaries\\nstart = date.today() - timedelta(days=7)\\nsummaries = client.get_daily_summary(start)\\n[...]\\n# Raw CSV export\\ncsv_text = client.export_raw(\\\"exercises\\\", start, date.today())\\n[...]\\n# Copy a day's diary entries\\nclient.copy_day(date(2026, 3, 1), date(2026, 3, 8))\\n[...]\\n# Add a recurring food entry (every weekday)\\nclient.add_repeat_item(\\n food_source_id=12345,\\n measure_id=0, # universal gram-based measure\\n quantity=200,\\n food_name=\\\"Oatmeal\\\",\\n diary_group=1, # Breakfast\\n days_of_week=[1, 2, 3, 4, 5],\\n)\\n[...]\\n# Log a biometric\\nclient.add_biometric(\\\"weight\\\", 218.5, date.today())\",\n \"position\": 5\n }\n ]\n }\n}", "tool_call_id": "call_00_nEa9OR91BJe4kOISTyTg3564" }, { "role": "tool", "name": "web_search", "content": "{\n \"success\": true,\n \"data\": {\n \"web\": [\n {\n \"url\": \"https://developers.google.com/health/reference/rest\",\n \"title\": \"Health API - Google for Developers\",\n \"description\": \"# Google Health API\\n\\nThe Google Health API lets you view and manage health and fitness metrics and measurement data.\\n\\n- REST Resource: v4.users\\n- REST Resource: v4.users.dataTypes.dataPoints\\n\\n## Service: health.googleapis.com\\n\\nTo call this service, we recommend that you use the Google-provided client libraries. If your application needs to use your own libraries to call this service, use the following information when you make the API requests.\\n\\n### Discovery document\\n\\nA Discovery Document is a machine-readable specification for describing and consuming REST APIs. It is used to build client libraries, IDE plugins, and other tools that interact with Google APIs. One service may provide multiple discovery documents. This service provides the following discovery document:\\n\\n- https://health.googleapis.com/$discovery/rest?version=v4\\n\\n### Service endpoint\\n\\nA service endpoint is a base URL that specifies the network address of an API service. One service might have multiple service endpoints. This service has the following service endpoint and all URIs below are relative to this service endpoint:\\n\\n- `https://health.googleapis.com`\\n\\n## REST Resource: v4.users\\n\\n| Methods | |\\n| --- | --- |\\n| `https://developers.google.com/health/reference/rest/v4/users/getIdentity` | `GET /v4/{name=users/*/identity}` Gets the user's identity. |\\n| `https://developers.google.com/health/reference/rest/v4/users/getProfile` | `GET /v4/{name=users/*/profile}` Returns user Profile details. |\\n| `https://developers.google.com/health/reference/rest/v4/users/getSettings` | `GET /v4/{name=users/*/settings}` Returns user settings details. |\\n| `https://developers.google.com/health/reference/rest/v4/users/updateProfile` | `PATCH /v4/{profile.name=users/*/profile}` Updates the user's profile details. |\\n| `https://developers.google.com/health/reference/rest/v4/users/updateSettings` | `PATCH /v4/{settings.name=users/*/settings}` Updates the user's settings details. |\\n\\n## REST Resource: v4.users.dataTypes.dataPoints\\n\\n| Methods | |\\n| --- | --- |\\n| `https://developers.google.com/health/reference/rest/v4/users.dataTypes.dataPoints/batchDelete` | `POST /v4/{parent=users/*/dataTypes/*}/dataPoints:batchDelete` Delete a batch of identifyable data points. |\\n| `https://developers.google.com/health/reference/rest/v4/users.dataTypes.dataPoints/create` | `POST /v4/{parent=users/*/dataTypes/*}/dataPoints` Creates a single identifiable data point. |\\n| `https://developers.google.com/health/reference/rest/v4/users.dataTypes.dataPoints/dailyRollUp` | `POST /v4/{parent=users/*/dataTypes/*}/dataPoints:dailyRollUp` Roll up data points over civil time intervals for supported data types. |\\n| `https://developers.google.com/health/reference/rest/v4/users.dataTypes.dataPoints/exportExerciseTcx` | `GET /v4/{name=users/*/dataTypes/*/dataPoints/*}:exportExerciseTcx` Exports exercise data in TCX format. |\\n| `https://developers.google.com/health/reference/rest/v4/users.dataTypes.dataPoints/list` | `GET /v4/{parent=users/*/dataTypes/*}/dataPoints` Query user health and fitness data points. |\\n| `https://developers.google.com/health/reference/rest/v4/users.dataTypes.dataPoints/patch` | `PATCH /v4/{dataPoint.name=users/*/dataTypes/*/dataPoints/*}` Updates a single identifiable data point. |\\n| `https://developers.google.com/health/reference/rest/v4/users.dataTypes.dataPoints/reconcile` | `GET /v4/{parent=users/*/dataTypes/*}/dataPoints:reconcile` Reconcile data points from multiple data sources into a single data stream. |\\n| `https://developers.google.com/health/reference/rest/v4/users.dataTypes.dataPoints/rollUp` | `POST /v4/{parent=users/*/dataTypes/*}/dataPoints:rollUp` Roll up data points over physical time intervals for supported data types. |\",\n \"position\": 1\n },\n {\n \"url\": \"https://developers.google.com/health/endpoints\",\n \"title\": \"Endpoints  |  Google Health API  |  Google for Developers\",\n \"description\": \"This page provides an overview of REST API conventions, along with an index of\\ncommon Google Health API tasks and examples of each.\\n[...]\\n## REST API conventions\\n[...]\\nThe Google Health API follows the Google API Improvement Proposals\\n(AIP)\\nstandards, specifically AIP-127 (HTTP and gRPC Transcoding) and AIP-131 through\\nAIP-135 (Standard Methods). These standards define how data is mapped from a\\nproto message to an HTTP request.\\n[...]\\nQuery parameters are used when the data is part of the URL. This is primarily\\nfor `GET` requests (fetching a resource) or `LIST` requests\\n(filtering/pagination), but is also used for `DELETE` operations.\\n[...]\\nThe request body is used when the data modifies the state of a resource or is\\ntoo large for a URL. The body is usually a JSON representation of the resource\\nitself. Typically used for `POST`, `PATCH`, and `PUT` operations.\\n[...]\\n- Best For:\\n[...]\\nIn an AIP-134 compliant `Update` method, or a `PATCH` operation, both are used.\\nThe URL contains the\\nresource name, the body contains the updated resource data, and a query\\nparameter (usually `update_mask`) specifies which fields to change.\\n[...]\\n### Key differences at\\n[...]\\n| Feature |\\n[...]\\n| --- | --- | --- |\\n[...]\\n| AIP Guidance | Used for searching, filtering, and\\n[...]\\noperations. | Used for write\\n[...]\\n| Visibility | Visible in browser history and server logs. | Hidden from the URL. |\\n| Complexity | Limited to flat or repeated structures. | Supports deeply nested JSON objects. |\\n| Encoding | Must be URL-encoded (for example, spaces become `%20`). | Standard JSON encoding. |\\n[...]\\nExecuting the Google Health API endpoints requires using the appropriate headers\\nand access token. The following header is recommended for both GET and POST\\nrequests:\\n[...]\\n```\\nAuthorization: Bearer access-token\\nAccept: application/json\\n[...]\\n## API task index\\n[...]\\nThis section provides an index of common Google Health API tasks and examples of\\neach.\\n[...]\\nAfter a user consents through Google OAuth 2.0, the token response does not\\ncontain the Fitbit or Google user ID. To obtain the user ID, call the\\n`getIdentity` endpoint. `getIdentity`\\nreturns both the Fitbit legacy user ID and the Google user ID.\\n[...]\\n### Get intraday or detailed data collected throughout a day\\n[...]\\nUse the `list`\\nendpoint for a specific\\ndata type to get intraday or detailed data collected throughout the day in\\nsupported intervals for that data type.\\n[...]\\n### Filter data by an interval civil start time\\n[...]\\nUse the `list` endpoint with a `filter` parameter to filter data by civil time\\nor an interval.\\n[...]\\nImportant: The format of data type identifiers differs when the data type has more than one word. In an endpoint, the data type name must be in kebab case, such as `body-fat`. In a filter parameter, however, the data type name must be in snake case, such as `body_fat`.\\n[...]\\n### Filter data by a sample observation physical time\\n[...]\\nparameter to filter data by sample\\nobservation physical time.\\n[...]\\n### Filter data by data sources such as wearables\\n[...]\\nUse the `reconcile`\\nendpoint to get\\ndata by a \\\"data source family\\\" in a reconciled stream.\\n[...]\\n### Aggregate data points over a range of time\\n[...]\\nUse the `rollUp`\\nendpoint to return the\\naggregate of data points based on a window in seconds, over the `datetime` range\\nbased on the users physical time (in UTC).\\n[...]\\n### Aggregate data across a single day or multiple days\\n[...]\\nThe `dailyRollUp`\\nendpoint should be\\nused when you want to aggregate data across\\na single day or multiple days, known as `windowSize`. Provide the closed-open\\ncivil time range for the required interval in the request body. Depending on the\\ndata type, you will either receive the sum or the average over the interval.\\n[...]\\n### Insert or update a user's health data\\n[...]\\nUse the `patch`\\nendpoint to insert or\\nupdate a user's Fitbit app data.\\n[...]\\n### Delete user health data\\n[...]\\nbatchDelete`\\nendpoint to delete\\nan array of a user's Fitbit app data.\",\n \"position\": 2\n },\n {\n \"url\": \"https://developers.google.com/health/get-started\",\n \"title\": \"Get started  |  Google Health API  |  Google for Developers\",\n \"description\": \"Welcome to the Google Health API!\\n[...]\\nThis new API leverages Google OAuth, providing a more secure, user-friendly, and\\nscalable solution for accessing and managing health data. Here are some of the\\nbenefits:\\n[...]\\n## How to start?\\n[...]\\nHow you get started with the Google Health API depends on the type of developer\\nyou are.\\n[...]\\n### New developer\\n[...]\\nIf you have no experience with Google APIs or Google Cloud, or need a\\nrefresher, the easiest and fastest\\nway to get started is by going through the codelab. It will show you how to set\\nup a Google Cloud project, an OAuth 2.0 web client, and how to use Visual Studio\\nCode to make your first successful call to the Google Health API.\\n[...]\\nIf you are an existing Fitbit Web API developer, you might want to read the\\nmigration guide first. It highlights all the differences between the Fitbit Web\\nAPI and the Google Health API and should provide the guidance you need to start\\nplanning your migration.\\n[...]\\nThis guide also highlights best practices and UI samples to assist with guiding\\nyour users through the re-authentication process.\\n[...]\\nAfter that, either do the codelab, or verify that your Google Cloud setup is\\ncomplete, before you start development with one of our data type guides.\\n[...]\\nRead the migration guide\\n[...]\\nComplete the Google Cloud setup\\n[...]\\nBeyond getting started, this site features comprehensive resources to assist\\nwith development and migration.\\n[...]\\n- Support : Need assistance? Get access to community forums and our public Issue Tracker on the Support page.\\n- Google Health API Parity Tool : Use this\\ntool to compare endpoints and functionality between the Fitbit Web API and the Google Health API. It also features a context file you can use directly with an LLM, or as part of an Agents.md file in your preferred AI tool.\\n- API reference : Complete REST reference documentation.\",\n \"position\": 3\n },\n {\n \"url\": \"https://developers.google.com/health/libraries\",\n \"title\": \"Client libraries  |  Google Health API  |  Google for Developers\",\n \"description\": \"This page provides client library examples for accessing the Google Health API.\\n[...]\\nThe Google Health API is built on HTTP and JSON, so any standard HTTP client can\\nsend requests to it and parse the responses.\\n[...]\\nHowever, instead of creating HTTP requests and parsing responses manually, you\\nmay want to use the client library examples and downloads featured here.\\n[...]\\n- Import Libraries:\\n[...]\\n- `com.google.api.client.*`: Core libraries for Google API client.\\n- `com.google.api.services.health.*`: Generated classes for the Google Health API. (You'll need to generate this based on the API's discovery document).\\n[...]\\n- Configuration:\\n[...]\\n- `CLIENT_SECRETS_PATH`: Path to your `client_secret.json` file.\\n- `TOKENS_DIRECTORY_PATH`: Path to store the tokens.\\n- `API_KEY`: Your API key.\\n- `SCOPES`: The required permissions.\\n- `DISCOVERY_URL`: URL to get the API definition.\\n[...]\\n- `main` Method:\\n[...]\\n- Initializes the Google Health API client and calls `fetchHealthData`.\\n[...]\\n- `createHealthService()`:\\n[...]\\n- Creates an instance of the Google Health API client, setting credentials, app name, and API key.\\n[...]\\n- `getCredentials()`:\\n[...]\\n- Loads client secrets from file.\\n- Creates a `GoogleAuthorizationCodeFlow`.\\n- Attempts to load stored credentials.\\n[...]\\n- If no credentials or expired credentials are found, prompts the user for authorization code, and stores the new credentials.\\n[...]\\n- Returns the credentials object.\\n[...]\\n- `fetchHealthData()`:\\n[...]\\n- Makes an API call to the Google Health API (replace the example with your specific method calls).\\n- Prints the response.\\n[...]\\n- Error Handling: The code includes basic `try...catch` blocks for error handling.\\n[...]\\n1. Install the Google API Client Library:\\n[...]\\n1. Implement OAuth 2.0 Flow:\\n[...]\\n- Use the Google Identity Services library to handle the OAuth flow (result 16.1).\\n[...]\\n- Use the initialized client to make requests to the Google Health API.\\n[...]\\nconst CLIENT_ID = 'YOUR_CLIENT_ID';\\nconst API_KEY = 'YOUR_API_KEY';\\n[...]\\nconst DISCOVERY_URL = 'https://health.googleapis.com/$discovery/rest'; // Replace with actual discovery URL if needed\\nconst SCOPES = 'https://www.googleapis.com/auth/health'; // Add other scopes as needed\\n[...]\\n- Import Libraries:\\n[...]\\n- `https://apis.google.com/js/api.js`: Loads the core Google API client.\\n- `https://accounts.google.com/gsi/client`: Loads the Google Identity Services for authentication.\\n[...]\\n- Configuration:\\n[...]\\n- `CLIENT_ID`, `API_KEY`: Replace with your actual credentials.\\n- `DISCOVERY_URL`: The URL to get the API definition. You may need to adjust this based on the final Google Health API setup.\\n- `SCOPES`: Define the necessary permissions your app will need (e.g., to read health data).\\n[...]\\n- `initClient()`:\\n[...]\\n- Loads the Google API client.\\n- Initializes the client with your API key and discovery document.\\n- Initializes the Google Identity Services token client.\\n[...]\\n- `authorize()`:\\n[...]\\n- Checks if a token is already available.\\n- If not, it calls `tokenClient.requestAccessToken()` to start the OAuth flow.\\n[...]\\n- `fetchHealthData()`:\\n[...]\\n- Calls `authorize()` to ensure the user is authenticated.\\n[...]\\n- Makes an API call to the Google Health API (replace the example with your specific calls).\\n[...]\\n- Logs the response.\\n[...]\\n- Error Handling: The code includes basic `try...catch` blocks for error handling.\\n[...]\\n1. Implement OAuth 2.0 Flow:\\n[...]\\n- Use the `google-auth-oauthlib` library to handle the OAuth flow.\\n[...]\\n1. Make API Requests:\\n\\n- Use the initialized client to make requests to the Google Health API.\\n[...]\\n'https://health.googleapis.com/$discovery/rest\\n[...]\\ndef create_health_client(creds):\\n[...]\\n\\\"\\\"\\\"Creates a Google Health API client.\\\"\\\"\\\"\\n[...]\\nreturn googleapiclient.discovery.build(\\n[...]\\n'health',\\n[...]\\n'v1', # Replace with the actual API version if needed\\n[...]\\ncredentials=creds,\\n[...]\\ndiscoveryServiceUrl=DISCOVERY_URL,\\n[...]\\ndeveloperKey=API_KEY\\n[...]\\ndef fetch_health_data(client):\",\n \"position\": 4\n },\n {\n \"url\": \"https://developers.google.com/health/setup\",\n \"title\": \"Set up Google Cloud and OAuth  |  Google Health API  |  Google for Developers\",\n \"description\": \"# Set up Google Cloud and OAuth\\n[...]\\nAccess to the Google Health API is provided through\\nGoogle Cloud. To enable the API and authorize a Google Account, you'll\\nneed a Google Cloud project.\\n[...]\\nWhether you are an existing Fitbit API developer, or new to the Google Health\\nAPI, you'll need to complete this step in order to make calls to the API.\\n[...]\\n## Create a project and an OAuth client\\n[...]\\nUse the Enable the API and get an OAuth 2.0 Client ID button to enable\\nthe Google Health API and get an OAuth 2.0 Client ID:\\n[...]\\n1. If you have an existing Google Cloud project project that you would like to use for the Google Health API, make sure you are logged into the administrator account for that project first. Then select the existing project from the list of available projects after clicking the button. Otherwise, create a new project.\\n2. Select Web Server when it asks \\\"Where are you calling from?\\\".\\n3. Enter https://www.google.com as the value for Authorized redirect\\nURIs. A redirect URI is required to obtain an Authorization Code using OAuth 2.0.\\n4. Once setup is complete, copy the OAuth 2.0 Client ID and Client Secret\\nvalues, and download the Credentials JSON to your local machine.\\n[...]\\nEnable the API and get an OAuth 2.0 Client ID\\n[...]\\nIf you want to manually set up your Google Cloud project, or verify\\nthe setup and retrieve your credentials again:\\n[...]\\n1. Enable Google Health API on the API Enablement page.\\n2. Get an OAuth 2.0 Client ID on the Credentials page.\\n[...]\\nFor more information on setting up OAuth 2.0 using the Google console, see\\nUsing OAuth 2.0 to Access Google APIs.\\n[...]\\nuser's\\n[...]\\nSupporting more than 100 users with the Google Health API requires completion of\\na third party security review. Additional information can be found in the OAuth\\nApp Verification Help Center.\\n[...]\\n### Add scopes\\n[...]\\nYou must specify the scopes your client is allowed to call on the\\nData Access\\npage:\\n[...]\\n1. On this page, click Add or remove scopes.\\n2. In the API column, search for \\\"Google Health API\\\". Select the scopes you need for your application.\\n3. After selecting all the scopes you need, click Update to return to the Data Access page.\\n4. Click Save.\\n[...]\\nYou have finished setting up your client ID and should now be able to make calls\\nto the Google Health API.\\n[...]\\n## OAuth2 client libraries\\n[...]\\nThe list of available OAuth2 client libraries used to integrate with popular\\nframeworks can be found at\\nUsing OAuth 2.0 to Access Google APIs.\\n[...]\\n## Refresh tokens\\n[...]\\nTo maintain long-term access to Google APIs without requiring constant\\nuser re-authentication, your application must use a refresh token. For\\ncomprehensive implementation details, including the specific HTTP requests\\nand parameters required, refer to the Google identity platform\\ndocumentation.\\n[...]\\nTo exchange a refresh token for an access token, make an HTTPS POST call to\\nthe Google OAuth 2.0 token endpoint. The following snippet shows an example\\nrequest and response:\\n[...]\\n-H 'Content-Type: application/x-www-form-urlencoded' \\\\\\n-d 'client_id=client-id&client_secret=client-secret&refresh_token=refresh-token&grant_type=refresh_token'\\n[...]\\n### Token behavior during testing\\n[...]\\nBe aware of how refresh tokens behave depending on your Google Cloud\\nproject's publishing status:\\n[...]\\n- Testing Mode: If your OAuth consent screen is configured with a \\\"Testing\\\" publishing status, the refresh tokens issued are time-based and expire after 7 days. During this period, you will receive a single refresh token that remains valid and usable for obtaining new access tokens until it reaches its expiration date.\\n[...]\\n- Published Mode: Once your app is moved to \\\"In Production\\\" status, refresh tokens generally don't expire unless they are revoked or remain unused for a prolonged period (typically six months).\\n[...]\\nFor a seamless user experience, ensure you publish your application\\nbefore it is moved into a production environment to avoid 7-day token\\nexpirations.\",\n \"position\": 5\n }\n ]\n }\n}", "tool_call_id": "call_01_1RjTxCK83O4FRsTugwS28448" }, { "role": "tool", "name": "web_search", "content": "{\n \"success\": true,\n \"data\": {\n \"web\": [\n {\n \"url\": \"https://python-myfitnesspal.readthedocs.io/en/latest/api/\",\n \"title\": \"API — Python Myfitnesspal documentation\",\n \"description\": \"API — Python Myfitnesspal documentation --\\n[...]\\n# API¶\\n[...]\\n- MyfitnesspalLoginError\\n- MyfitnesspalRequestFailed\\n- MyfitnesspalError\\n[...]\\n- Recipe\\n- NutritionInformation\\n- FoodItemDetailsResponse\\n- ServingSizeDict\\n- FoodItemNutritionDict\\n- NoteDataDict\\n- MealEntry\\n- AuthData\\n- UserMetadata\\n- UserProfile\\n- SystemDataDict\\n- AccountDict\\n- AdminFlagDict\\n- LocationPreferencesDict\\n- GoalPreferencesDict\\n- UnitValueContainer\\n- DiaryPreferencesDict\\n- UnitPreferenceDict\\n- GoalDisplayDict\\n- CommandDefinition\",\n \"position\": 1\n },\n {\n \"url\": \"https://github.com/coddingtonbear/python-myfitnesspal\",\n \"title\": \"coddingtonbear/python-myfitnesspal: Access your meal ... - GitHub\",\n \"description\": \"# Repository: coddingtonbear/python-myfitnesspal\\n\\nAccess your meal tracking data stored in MyFitnessPal programatically\\n\\n- Stars: 855\\n- Forks: 147\\n- Watchers: 855\\n- Open issues: 25\\n- Primary language: Python\\n- Languages: Python\\n- License: MIT License (MIT)\\n- Default branch: master\\n- Created: 2013-07-16T05:31:10Z\\n- Last push: 2025-09-28T17:02:52Z\\n- Contributors: 40 (top: coddingtonbear, Dnic94, bradgarropy, hannahburkhardt, ianozsvald, kb1900, samhinshaw, kittenwhisky, dolan-a, dlgoodr)\\n\\n---\\n\\nDo you track your eating habits on MyFitnessPal? Have you ever wanted to\\nanalyze the information you\\\\'re entering into MyFitnessPal\\nprogramatically?\\n\\nAlthough MyFitnessPal does have an API, it is private-access\\nonly; this creates an unnecessary barrier between you and your data that\\ncan be overcome using this library.\\n\\n- Having problems? Issues live on github.\\n- Have questions? Ask your questions in our gitter room or\\n\\nstart a discussion.\\n\\n- Looking for documentation and tutorials? Find them on RTD.\",\n \"position\": 2\n },\n {\n \"url\": \"https://github.com/JamsusMaximus/myfitnesspal-mcp\",\n \"title\": \"JamsusMaximus/myfitnesspal-mcp\",\n \"description\": \"MyFitnessPal MCP Server - AI assistant integration for MyFitness\\n[...]\\nA Model Context Protocol (MCP) server that connects AI assistants to your MyFitnessPal data. Lets Claude read your food diary, nutrition goals, weight measurements, and more.\\n[...]\\nMFP has no official API - this uses the myfitnesspal Python library which scrapes the website using browser cookies.\\n[...]\\n| Tool | Description | Inputs |\\n| --- | --- | --- |\\n| `mfp_get_diary` | Get food diary for a single date | `date` (YYYY-MM-DD) |\\n| `mfp_get_nutrition_summary` | Get nutrition totals across a date range (max 31 days) | `start_date`, `end_date` |\\n| `mfp_get_goals` | Get calorie and macro goals | none |\\n| `mfp_get_measurements` | Get body measurements (weight, body fat, etc.) over time | `measurement?`, `start_date?`, `end_date?` |\\n| `mfp_get_profile` | Get user profile and preferences | none |\\n| `mfp_search_food` | Search the MFP food database | `query` |\\n| `mfp_get_food_details` | Get full nutrition for a food item | `mfp_id` |\\n| `mfp_auth_status` | Check whether authentication is valid | none |\\n| `mfp_refresh_auth` | Re-extract cookies from browser | `browser?` (auto/chrome/firefox/safari/edge) |\\n[...]\\n```\\nsrc/mfp_mcp/\\n├── cli.py # CLI entry point\\n├── server.py # stdio MCP server, tool registration\\n├── auth/\\n│ ├── storage.py # Unified credential storage (env → keyring → file)\\n│ ├── keyring.py # System keyring backend\\n│ ├── encrypted.py # AES-256-GCM file backend\\n│ ├── browser.py # Browser cookie extraction\\n│ └── validator.py # Cookie validation via NextAuth session\\n├── client/\\n│ ├── mfp.py # Async wrapper around myfitnesspal library\\n│ └── models.py # Pydantic response models\\n└── tools/\\n ├── _validation.py # Pydantic input validation\\n ├── diary.py # mfp_get_diary\\n ├── nutrition.py # mfp_get_nutrition_summary\\n ├── goals.py # mfp_get_goals\\n ├── measurements.py # mfp_get_measurements\\n ├── food.py # mfp_search_food, mfp_get_food_details\\n ├── profile.py # mfp_get_profile\\n ├── auth_status.py # mfp_auth_status\\n └── refresh_auth.py # mfp_refresh_auth\\n```\\n[...]\\nThe upstream `myfitnesspal` library's `__init__` hits `/user/auth_token` which MFP's WAF now blocks (HTTP 403). This server works around the issue by:\\n[...]\\n1. Creating the library's `Client` object without calling `__init__` (via `object.__new__()`)\\n2. Setting up the HTTP session manually with plain `requests` (cloudscraper also gets blocked)\\n3. Getting the username from MFP's NextAuth session endpoint (`/api/auth/session`)\\n4. The HTML scraping methods (`get_date`, `get_measurements`) continue to work normally\\n[...]\\n3.12+\",\n \"position\": 3\n },\n {\n \"url\": \"https://python-myfitnesspal.readthedocs.io/en/latest/api/client.html\",\n \"title\": \"Client — Python Myfitnesspal documentation\",\n \"description\": \"# Client ¶\\n\\nclass myfitnesspal.Client(cookiejar: Optional[CookieJar] = None, unit_aware: bool = False) ¶\\n[...]\\nProvides access to MyFitnessPal APIs\\n[...]\\nget_date(year: int, month: int, day: int) → Day ¶\\n[...]\\nget_measurements(measurement='Weight', lower_bound: Optional[date] = None, upper_bound: Optional[date] = None) → Dict[date, float] ¶\\n[...]\\nset_measurements(measurement='Weight\\n[...]\\n: Optional[float] = None\\n[...]\\nOptional[date] = None) → None ¶\\n[...]\\nget_report(report_name: str = 'Net Calories', report_category: str = 'Nutrition', lower_bound: Optional[date] = None, upper_bound: Optional[date] = None) → Dict[date, float] ¶\\n[...]\\nget_food_search_results(query: str) → List[FoodItem] ¶\\n[...]\\nget_food_item_details(mfp_id: int) → FoodItem ¶\\n[...]\\nset_new_food(brand: str, description: str, calories: int, fat: float, carbs: float, protein: float, sodium: Optional[float] = None, potassium: Optional[float] = None, saturated_fat: Optional[float] = None, polyunsaturated_fat: Optional[float] = None, fiber: Optional[float] = None, monounsaturated_fat: Optional[float] = None, sugar: Optional[float] = None, trans_fat: Optional[float] = None, cholesterol: Optional[float] = None, vitamin_a: Optional[float] = None, calcium: Optional[float] = None, vitamin_c: Optional[float] = None, iron: Optional[float] = None, serving_size: str = '1 Serving', servingspercontainer: float = 1.0, sharepublic: bool = False) → None ¶\\n[...]\\nFunction to submit new foods / groceries to the MyFitnessPal database. Function will return True if successful.\\n[...]\\nset_new_goal(energy: float, energy_unit: str = 'calories', carbohydrates: Optional[float] = None, protein: Optional[float] = None, fat: Optional[float] = None, percent_carbohydrates: Optional[float] = None, percent_protein: Optional[float] = None, percent_fat: Optional[float] = None) → None ¶\\n[...]\\nget_recipes() → Dict[int, str] ¶\\n[...]\\n→ Dict[int, str] ¶\\n[...]\\n# Python Myfitnesspal\\n[...]\\n- Getting Started\\n- Using the Command-Line API\\n- How-to Guides\\n- Contributing\\n- API Client Day Meal Entry Exercise Food Item Serving Note Exceptions Types\\n- Upgrading from 1.x to 2.x\\n[...]\\n### Related Topics\\n[...]\\n- Documentation overview API\\n[...]\\n* Previous: API\\n[...]\\n* Next: Day\\n[...]\\n22, Contributors like\\n[...]\\n. | Powered by Sphinx 5.3.0 & Alabaster 0.7.13 | Page source\",\n \"position\": 4\n },\n {\n \"url\": \"https://python-myfitnesspal.readthedocs.io/en/latest\",\n \"title\": \"Python Myfitnesspal ¶\",\n \"description\": \"Python Myfitnesspal — Python Myfitnesspal documentation\\n# Python Myfitnesspal¶\\n[...]\\n* Getting Started\\n* Installation\\n* Authentication\\n* Using the Command-Line API\\n* `day[$DATE]`\\n* How-to Guides\\n* Accessing your Diary\\n* Accessing your Exercises\\n* Accessing your Measurements\\n* Searching for Foods\\n* Accessing Reports\\n* Use on Windows Subsystem for Linux\\n* Contributing\\n* I think I’ve found a bug\\n* I want to add a new feature\\n* I have a feature idea\\n* API\\n* Client\\n* Day\\n* Meal\\n* Entry\\n* Exercise\\n* Food Item\\n* Serving\\n* Note\\n* Exceptions\\n* Types\\n* Upgrading from 1.x to 2.x\\n* Version 1.x (Obsolete)\\n* Version 2.x (Current)\\n[...]\\nDo you track your eating habits onMyFitnessPal? Have you ever wanted to analyze the information you’re entering into MyFitnessPal programatically?\\nAlthough MyFitnessPaldoes have an API, it is private-access only; this creates an unnecessary barrier between you and your data that can be overcome using this library.\\nHaving problems?Issues live on github. Have questions?Ask your questions in our gitter roomorstart a discussion.\\n[...]\\n# Indices and tables¶\\n[...]\\n# Python Myfitnesspal\\n[...]\\n* Getting Started\\n* Using the Command-Line API\\n* How-to Guides\\n* Contributing\\n* API\\n* Upgrading from 1.x to 2.x\\n### Related Topics\",\n \"position\": 5\n }\n ]\n }\n}", "tool_call_id": "call_02_u7EDGgeFRSZoiEbHnP9v3622" }, { "role": "tool", "name": "web_search", "content": "{\n \"success\": true,\n \"data\": {\n \"web\": [\n {\n \"url\": \"https://github.com/jpstroop/fitbit-client-python\",\n \"title\": \"jpstroop/fitbit-client-python\",\n \"description\": \"# Repository: jpstroop/fitbit-client-python\\n[...]\\nA Python client for interacting with the Fitbit™ API, featuring OAuth2 PKCE authentication and resource-based API interactions.\\n[...]\\n- Stars: 0\\n- Forks: 0\\n- Watchers: 0\\n- Open issues: 0\\n- Primary language: Python\\n- Languages: Python (99.8%), Shell (0.2%)\\n- License: GNU Affero General Public License v3.0 (AGPL-3.0)\\n- Default branch: main\\n- Created: 2025-01-19T22:31:54Z\\n- Last push: 2025-03-21T22:40:46Z\\n- Contributors: 1 (top: jpstroop)\\n[...]\\n# Python API Client for Fitbit™\\n[...]\\nPyPy 3.11\\n[...]\\nPython 3.11\\n[...]\\nPython 3.12\\n[...]\\nPython 3.13\\n[...]\\nA fully-typed Python client for interacting with the Fitbit API, featuring\\nOAuth2 PKCE authentication and resource-based API interactions.\\n[...]\\nRequires Python 3.11 or later\\n\\nOnce published, install like this:\\n[...]\\n```bash\\npdm add fitbit-client-python # or your dependency manager of choice\\n```\\n[...]\\nFor now, you can\\nuse it from Github.\\n[...]\\n## Quick Start\\n[...]\\n```python\\nfrom fitbit_client import FitbitClient\\nfrom json import dumps\\n[...]\\n# Initialize client\\nclient = FitbitClient(\\n client_id=\\\"YOUR_CLIENT_ID\\\",\\n client_secret=\\\"YOUR_CLIENT_SECRET\\\",\\n redirect_uri=\\\"https://localhost:8080\\\"\\n)\\n\\ntry:\\n # Authenticate (opens browser automatically)\\n client.authenticate()\\n \\n # Make a request (e.g., get user profile)\\n # You can access resources directly:\\n profile = client.user.get_profile()\\n # Or use method aliases for shorter syntax:\\n profile = client.get_profile()\\n print(dumps(profile, indent=2))\\n \\nexcept Exception as e:\\n print(f\\\"Error: {str(e)}\\\")\\n```\\n[...]\\nThe response will always be the body of the API response, and is almost always a\\n`JSONDict`, `JSONList` or `None`. `nutrition.get_activity_tcx` is the exception.\\nIt returns XML (as a `str`).\\n[...]\\n## Method Aliases\\n[...]\\nAll API methods are available directly from the client instance. This means you\\ncan use:\\n[...]\\nAuthentication wses a local callback server to handle the OAuth2 flow:\\n[...]\\n```python\\nclient = FitbitClient(\\n client_id=\\\"YOUR_CLIENT_ID\\\",\\n client_secret=\\\"YOUR_CLIENT_SECRET\\\",\\n redirect_uri=\\\"YOUR_REGISTERED_REDIRECT_URI\\\",\\n token_cache_path=\\\"/tmp/fb_tokens.json\\\" \\n)\\n[...]\\n# This will open browser and handle callback automatically:\\nclient.authenticate()\\n```\\n[...]\\nYou can also load your credentials from a JSON file, which is useful for keeping\\nsecrets out of your code:\\n[...]\\n```python\\nfrom json import load\\n[...]\\nfrom fitbit_client import FitbitClient\\n[...]\\n# Initialize Fitbit OAuth2 flow and get a client\\nclient = FitbitClient(**secrets)\\n[...]\\n# Authenticate as usual\\nclient.authenticate()\\n[...]\\nUsing this strategy, you can initialize the client with several additional\\nparameter arguments (such as Rate Limiting and language/locale\\noptions; see the FitbitClient initializer). Perhaps\\nthe most useful of these is the `token_cache_path`:\\n[...]\\nThe `token_cache_path` parameter allows you to persist authentication tokens\\nbetween sessions. If provided, the client will:\\n[...]\\n## Setting Up Your Fitbit App\\n[...]\\n1. Go to dev.fitbit.com and create a new application\\n2. Set OAuth 2.0 Application Type to \\\"Personal\\\" (or other types, if you know\\n\\nwhat you're doing)\\n[...]\\n1. Set Callback URL to \\\"https://localhost:8080\\\" (or your preferred local URL)\\n2. Copy your Client ID and Client Secret\\n[...]\\n## Rate Limiting\\n[...]\\nretry handling for rate-limited\\n[...]\\n. When a\\nrate limit\\n[...]\\nencountered, the client\\n[...]\\n```python\\nclient = FitbitClient(\\n client_id=\\\"YOUR_CLIENT_ID\\\",\\n client_secret=\\\"YOUR\\n[...]\\nCLIENT_SECRET\\n[...]\\n## Important Note - Subscription Support\\n[...]\\nThis client does not currently support the\\ncreation\\nand\\ndeletion\\nof\\nwebhook subscriptions.\\n[...]\\nverify them since\\n[...]\\na publicly accessible server\\n[...]\\nCopyright (C) 2025 Jon Stroop\\n[...]\\nThis program is licensed under the GNU Affero General Public License Version 3.0\\n(AGPL-3.0). See the LICENSE file for details.\",\n \"position\": 1\n },\n {\n \"url\": \"https://pypi.org/project/fitbit-data-pipeline/\",\n \"title\": \"fitbit-data-pipeline 1.0.1\",\n \"description\": \"fitbit-data-pipeline ·PyPISkip to main contentSwitch to mobile\\n[...]\\nPyPI\\nSearch PyPI**Search\\nSearch PyPI**Search\\n# fitbit-data-pipeline 1.0.1\\npip install fitbit-data-pipeline**Copy PIP instructions\\nLatest version\\nReleased:May 7, 2025\\nFitbit Data Collection Pipeline\\n### Navigation\\n### Verified details**\\n*These details have beenverified by PyPI*###### Maintainers\\nAvatar for sakbioonline from gravatar.comsakbioonline\\n### Unverified details\\n[...]\\n*These details have**not**been verified by PyPI*###### Project links\\n[...]\\n* **Homepage\\n[...]\\n* **Documentation\\n[...]\\n* **Repository\\n[...]\\n* **License:**MIT License (MIT)\\n[...]\\n* **Author:**Abiola Saka\\n[...]\\n* **Requires:**Python <3.13, >=3.10\\n[...]\\n# Fitbit Data Collector\\n[...]\\nThis is a Python package that automate Fitbit OAuth2 authorisation and collect sleep, activity and heart rate data from fitbit devices\\n# Features\\n[...]\\n* OAth2-based Fitbit authentication (per participant)\\n* Participant information supplied in a CSV file\\n* Device-to-participant assignment and session tracking\\n* Sleep, activity and heart rate data collection\\n* Save Sleep, activity and heart rate to csv# project structure\\nFitbitDataPipeline\\n[...]\\n* processed\\\\_data: Folder containing the pipeline output - Sleep Summary, Sleep Staging, Activity and Heartrate data\\n* raw\\\\_sleep\\\\_data : raw sleep json file from Fitbit Web API\\n* tokens : Locally managed Fitbit user tokens\\n* app\\\\_server - Flask app for the Fitbit OAuth2\\n* auth\\\\_code - Application generated for the exchange of the redirect url after authentication\\n* config - contain some user configurations and fitbit WebAPI endpoint URLs\\n* License\\n* participants.csv\\n* readme - This file\\n[...]\\n* requirements : Required packages to successfully run the application\\n* # Requirement\\n[...]\\nAside the packages required as specified in the requirements file. The following are also needed to run this pipeline\\n* Core - Python 3.8+\\n* Fitbit developer account\\n* API client ID and secret\\n(ensure intraday data access is enabled using require a separate application)# Getting Started\\n[...]\\nThe application is into two parts: Flask application for Fitbit Authentication and the main pipeline\\n[...]\\n1. create .env file and populate it with your fitbit developer account client id and secret\\n############### .env file ###################################\\nclient\\\\_id = \\\"XXXXX\\\"\\nclient\\\\_secret = \\\"xxxxxxxxxxxxxxxxxxxxxxxxxxxxx\\\"\\n##############################################################\\n2. Start the app\\\\_server using python app.py\\n# Output Files\\n[...]\\n## Release historyRelease notifications|RSS feed**\\n[...]\\n1.0.1\\n[...]\\nMay 7, 2025\\n[...]\\n1.0.0\\n[...]\\nMay 7, 2025\\n[...]\\n2025\\n[...]\\n\\\\_data\\\\_\\n[...]\\n-1.0.1-\\n[...]\\n3-none-\\n[...]\\nUploadedMay 7, 2025`Python 3`\",\n \"position\": 2\n },\n {\n \"url\": \"https://github.com/orcasgit/python-fitbit\",\n \"title\": \"orcasgit/python-fitbit\",\n \"description\": \"# Repository: orcasgit/python-fitbit\\n[...]\\nFitbit API Python Client Implementation\\n[...]\\n- Stars: 635\\n- Forks: 335\\n- Watchers: 635\\n- Open issues: 61\\n- Primary language: Python\\n- Languages: Python\\n- License: Other (NOASSERTION)\\n- Default branch: master\\n- Created: 2012-02-17T18:54:14Z\\n- Last push: 2024-07-23T07:40:49Z\\n- Contributors: 30 (top: brad, percyperez, dpoirier, grokcode, silviot, issackelly, requires, Bengt, xuy, xuefanzhang)\\n- Releases: 1\\n- Latest release: 0.2.3 (2016-09-06T18:44:00Z)\\n[...]\\npython-fitbit\\n[...]\\nFitbit API Python Client Implementation\\n[...]\\nFor documentation: `http://python-fitbit.readthedocs.org/ `_\\n\\nRequirements\\n[...]\\n============\\n\\n- Python 2.7+\\n- `python-dateutil`_ (always)\\n- `requests-oauthlib`_ (always)\\n- `Sphinx`_ (to create the documention)\\n- `tox`_ (for running the tests)\\n- `coverage`_ (to create test coverage reports)\\n[...]\\n.. _python-dateutil: https://pypi.python.org/pypi/python-dateutil/2.4.0\\n.. _requests-oauthlib: https://pypi.python.org/pypi/requests-oauthlib\\n.. _Sphinx: https://pypi.python.org/pypi/Sphinx\\n.. _tox: https://pypi.python.org/pypi/tox\\n.. _coverage: https://pypi.python.org/pypi/coverage/\\n[...]\\nTo use the library, you need to install the run time requirements:\\n\\nsudo pip install -r requirements/base.txt\\n[...]\\nTo modify and test the library, you need to install the developer requirements:\\n\\nsudo pip install -r requirements/dev.txt\\n[...]\\nTo run the library on a continuous integration server, you need to install the test requirements:\\n\\nsudo pip install -r requirements/test.txt\",\n \"position\": 3\n },\n {\n \"url\": \"https://pypi.org/project/fitbit-cli/\",\n \"title\": \"fitbit-cli v1.5.2\",\n \"description\": \"# fitbit-cli v1.5.2\\n[...]\\n- Author: veerendra2\\n- Email: vk.tyk23@simplelogin.com\\n- License: MIT\\n- Python: >=3.9\\n- Status: 5 - Production/Stable\\n- Keywords: fitbit, fitbit-api, cli, python\\n- PyPI: https://pypi.org/project/fitbit-cli/\\n[...]\\n- Documentation: https://github.com/veerendra2/fitbit-cli\\n- Download: https://github.com/veerendra2/fitbit-cli/archive/1.5.2.tar.gz\\n- Homepage: https://github.com/veerendra2/fitbit-cli\\n[...]\\n# Fitbit CLI\\n[...]\\n> This is not an official Fitbit CLI\\n[...]\\nAccess your Fitbit data directly from your terminal 💻. View 💤 sleep logs, ❤️ heart rate, 🏋️‍♂️ activity levels, 🩸 SpO2, and more, all presented in a simple, easy-to-read table format\\n[...]\\nasciicast\\n[...]\\n## Supported Web APIs\\n[...]\\n> Only `GET` APIs are supported!\\n[...]\\n| API | Status |\\n| --- | --- |\\n| Get Profile | ✅ |\\n| Get Devices | ✅ |\\n| Get Sleep Log by Date Range | ✅ |\\n| Get SpO2 Summary by Interval | ✅ |\\n| Get Heart Rate Time Series by Date Range | ✅ |\\n| Get AZM Time Series by Interval | ✅ |\\n| Get Breathing Rate Summary by Interval | ✅ |\\n| Get Daily Activity Summary | ✅ |\\n[...]\\n## Usage Guide\\n[...]\\n1. Install the Fitbit CLI\\n[...]\\n```bash\\npython -m pip install fitbit-cli\\n```\\n[...]\\n```bash\\nfitbit-cli -h\\nusage: fitbit-cli [-h] [-i] [-s [DATE[,DATE]|RELATIVE]] [-o [DATE[,DATE]|RELATIVE]] [-e [DATE[,DATE]|RELATIVE]] [-a [DATE[,DATE]|RELATIVE]] [-b [DATE[,DATE]|RELATIVE]] [-t [DATE[,DATE]|RELATIVE]] [-u] [-d] [-v]\\n\\nFitbit CLI -- Access your Fitbit data at your terminal.\\n\\noptions:\\n -h, --help show this help message and exit\\n -i, --init-auth Initialize Fitbit iterative authentication setup\\n -v, --version Show fitbit-cli version\\n[...]\\nAPIs:\\n Specify a date, date range (YYYY-MM-DD[,YYYY-MM-DD]), or relative date.\\n Relative dates: yesterday, last-week, last-month, last-N-days/weeks/months (e.g., last-2-days).\\n If not provided, defaults to today's date.\\n\\n -s, --sleep [DATE[,DATE]|RELATIVE]\\n Show Sleep Log by Date Range.\\n -o, --spo2 [DATE[,DATE]|RELATIVE]\\n Show SpO2 Summary by Interval.\\n -e, --heart [DATE[,DATE]|RELATIVE]\\n Show Heart Rate Time Series by Date Range.\\n -a, --active-zone [DATE[,DATE]|RELATIVE]\\n Show AZM Time Series by Interval.\\n -b, --breathing-rate [DATE[,DATE]|RELATIVE]\\n Show Breathing Rate Summary by Interval.\\n -t, --activities [DATE[,DATE]|RELATIVE]\\n Show Daily Activity Summary.\\n -u, --user-profile Show Profile.\\n -d, --devices Show Devices.\\n```\\n[...]\\n```bash\\n[...]\\n```\\n[...]\\n_**NOTE: The token is valid for only 8 hours, `fitbit-cli` automatically refreshes the token when it expires.**_\\n[...]\\n| Package | Constraint |\\n| --- | --- |\\n| requests | ==2.32.5 |\\n| rich | ==14.3.2 |\\n[...]\\n## Version History\\n[...]\\n| Version | Date | Size | Type |\\n| --- | --- | --- | --- |\\n| 1.5.2 | 2026-02-03 | 15,218 | sdist |\\n| 1.5.1 | 2025-10-15 | 15,219 | sdist |\\n| 1.5.0 | 2025-08-07 | 15,113 | sdist |\\n| 1.4.0 | 2025-07-29 | 13,335 | sdist |\\n| 1.3.1 | 2025-06-11 | 12,785 | sdist |\\n| 1.3.0 | 2025-05-05 | 12,785 | sdist |\\n| 1.2.0 | 2024-12-27 | 12,143 | sdist |\\n| 1.0.0 | 2024-12-25 | 11,004 | sdist |\\n| 1.1.0 | 2024-12-25 | 12,036 | sdist |\\n| 0.1.1 | 2024-12-23 | 10,658 | sdist |\\n| 0.1.0 | 2024-12-22 | 10,012 | sdist |\",\n \"position\": 4\n },\n {\n \"url\": \"https://pypi.org/project/fitbit-web-api/\",\n \"title\": \"fitbit-web-api - PyPI\",\n \"description\": \"# fitbit-web-api v2.15.0\\n[...]\\n- Email: Simone Chemelli, Allen Porter \\n- License: Apache-2.0\\n- Python: <4,>=3.13\\n- Status: 2 - Pre-Alpha\\n- PyPI: https://pypi.org/project/fitbit-web-api/\\n[...]\\nFitbit provides a Web API for accessing data from Fitbit activity trackers, Aria scale, and manually entered logs. Anyone can develop an application to access and modify a Fitbit user's data on their behalf, so long as it complies with Fitbit Platform Terms of Service. These Swagger UI docs do not currently support making Fitbit API requests directly. In order to make a request, construct a request for the appropriate endpoint using this documentation, and then add an Authorization header to each request with an access token obtained using the steps outlined here: https://dev.fitbit.com/build/reference/web-api/developer-guide/authorization/.\\n[...]\\nThis Python package is automatically generated by the OpenAPI Generator project:\\n[...]\\n- API version: 1\\n- Package version: 1.0.0\\n- Generator version: 7.14.0\\n- Build package: org.openapitools.codegen.languages.PythonClientCodegen\\n[...]\\nPython 3.9+\\n[...]\\n## Installation & Usage\\n[...]\\n### pip install\\n[...]\\nThen import the package:\\n[...]\\n```python\\nimport fitbit_web_api\\n```\\n[...]\\n```python\\nimport fitbit_web_api\\n```\\n[...]\\n## Getting Started\\n[...]\\n```python\\n\\nimport fitbit_web_api\\nfrom fitbit_web_api.rest import ApiException\\nfrom pprint import pprint\\n[...]\\n# Defining the host is optional and defaults to https://api.fitbit.com\\n# See configuration.py for a list of all supported configuration parameters.\\nconfiguration = fitbit_web_api.Configuration(\\n host = \\\"https://api.fitbit.com\\\"\\n)\\n\\n# The client must configure the authentication and authorization parameters\\n# in accordance with the API server security policy.\\n# Examples for each auth method are provided below, use the example that\\n# satisfies your auth use case.\\n\\nconfiguration.access_token = os.environ[\\\"ACCESS_TOKEN\\\"]\\n\\n# Enter a context with an instance of the API client\\nasync with fitbit_web_api.ApiClient(configuration) as api_client:\\n # Create an instance of the API class\\n api_instance = fitbit_web_api.ActiveZoneMinutesIntradayTimeSeriesApi(api_client)\\n var_date = 'var_date_example' # str | The date in the format yyyy-MM-dd or today\\n detail_level = 'detail_level_example' # str | The detail for which data will be returned. **Supported:** 1min | 5min | 15min\\n\\n try:\\n # Get AZM Intraday by Date\\n api_response = await api_instance.get_azmby_date_intraday(var_date, detail_level)\\n print(\\\"The response of ActiveZoneMinutesIntradayTimeSeriesApi->get_azmby_date_intraday:\\\\n\\\")\\n pprint(api_response)\\n except ApiException as e:\\n print(\\\"Exception when calling ActiveZoneMinutesIntradayTimeSeriesApi->get_azmby_date_intraday: %s\\\\n\\\" % e)\\n\\n```\\n[...]\\n## Documentation for API Endpoints\\n[...]\\nAll URIs are relative to *https://api.fitbit.com*\\n[...]\\n| Class | Method | HTTP request | Description |\\n| --- | --- | --- | --- |\\n| _ActiveZoneMinutesIntradayTimeSeriesApi_ | **get_azmby_date_intraday** | **GET** /1/user/-/activities/active-\\n[...]\\n## Documentation For Authorization\\n[...]\\n### oauth2\\n[...]\\nhttps://www.fitbit.com/oauth2/\\n[...]\\n## Version History\\n[...]\\n| Version | Date | Size | Type |\\n| --- | --- | --- | --- |\\n| 2.14.0 | 2026-04-26 | 394,502 | bdist_wheel |\\n| 2.15.0 | 2026-04-26 | 394,588 | bdist_wheel |\\n| 2.13.4 | 2025-11-26 | 394,465 | bdist_wheel |\\n| 2.13.5 | 2025-11-26 | 394,502 | bdist_wheel |\\n| 2.12.3 | 2025-11-25 | 392,574 | bdist_wheel |\\n| 2.13.0 | 2025-11-25 | 392,633 | bdist_wheel |\\n| 2.13.1 | 2025-11-25 | 392,626 | bdist_wheel |\\n| 2.13.2 | 2025-11-25 | 392,653 | bdist_wheel |\\n| 2.13.3 | 2025-11-25 | 394,526 | bdist_wheel |\\n| 2.0.1 | 2025-08-07 | 168,019 | bdist_wheel |\\n| 2.0.0 | 2025-08-05 | 168,027 | bdist_wheel |\\n| 1.0.0 | 2025-05-26 | 108,944 | bdist_wheel |\\n| 0.2.0 | 2024-12-01 | 108,957 | bdist_wheel |\\n| 0.1.1 | 2023-12-21 | 11,880 | bdist_wheel |\\n| 0.0.0 | 2023-12-18 | 11,879 | bdist_wheel |\",\n \"position\": 5\n }\n ]\n }\n}", "tool_call_id": "call_03_W2BIdvtev0P7nUylKmv93852" }, { "role": "assistant", "content": "", "reasoning": "Excellent! I now have a wealth of information. Let me get more specific details on a few more things:\n\n1. HCGateway - how it works as a bridge\n2. Google Health API - data types available\n3. Fitbit data types/scopes\n4. Cronometer API details\n\nLet me also look at the HCGateway docs and Google Health API data types.", "finish_reason": "tool_calls", "reasoning_content": "Excellent! I now have a wealth of information. Let me get more specific details on a few more things:\n\n1. HCGateway - how it works as a bridge\n2. Google Health API - data types available\n3. Fitbit data types/scopes\n4. Cronometer API details\n\nLet me also look at the HCGateway docs and Google Health API data types.", "tool_calls": [ { "id": "call_00_e9NVDt2fi3b4p1Xcyxp88759", "call_id": "call_00_e9NVDt2fi3b4p1Xcyxp88759", "response_item_id": "fc_00_e9NVDt2fi3b4p1Xcyxp88759", "type": "function", "function": { "name": "web_extract", "arguments": "{\"urls\": [\"https://hcgateway.shuchir.dev/\", \"https://developers.google.com/health/data-types\", \"https://dev.fitbit.com/build/reference/web-api/data-types/\"]}" } }, { "id": "call_01_vPswxOomi5EUW8Zkk61K7718", "call_id": "call_01_vPswxOomi5EUW8Zkk61K7718", "response_item_id": "fc_01_vPswxOomi5EUW8Zkk61K7718", "type": "function", "function": { "name": "web_search", "arguments": "{\"limit\": 5, \"query\": \"Google Health API v4 data types list steps heart_rate sleep weight nutrition 2025\"}" } }, { "id": "call_02_wvIkd6A2Q5Q27K3QRy7O0345", "call_id": "call_02_wvIkd6A2Q5Q27K3QRy7O0345", "response_item_id": "fc_02_wvIkd6A2Q5Q27K3QRy7O0345", "type": "function", "function": { "name": "web_search", "arguments": "{\"limit\": 5, \"query\": \"HCGateway Health Connect REST API bridge documentation endpoints data types 2025\"}" } } ] }, { "role": "tool", "name": "web_extract", "content": "{\n \"results\": [\n {\n \"url\": \"https://hcgateway.shuchir.dev/\",\n \"title\": \"\",\n \"content\": \"# Page Not Found\\n\\nThis page does not exist.\\n\",\n \"error\": null\n },\n {\n \"url\": \"https://developers.google.com/health/data-types\",\n \"title\": \"Google Health API data types  |  Google for Developers\",\n \"content\": \"# Google Health API Data Types: Comprehensive Guide\\n\\nThis guide details the data types, naming conventions, synchronization behaviors, and measurement standards for the Google Health API.\\n\\n## ⚠️ Critical Naming Conventions\\nThe API requires specific formatting for data type identifiers based on where they are used. Failure to use the correct case will result in errors.\\n\\n* **Endpoints:** Use **kebab-case** (e.g., `body-fat`).\\n* **Filter Parameters:** Use **snake_case** (e.g., `body_fat`).\\n\\n---\\n\\n## 📊 Data Type Reference Table\\nThe following table outlines the available data types, their record structures, supported operations, and scopes.\\n\\n| Data Type | Record Type | Operations | Scope | Webhook? |\\n| :--- | :--- | :--- | :--- | :--- |\\n| **Active Minutes** | Interval | reconcile, rollup, dailyRollup | activity_and_fitness | No |\\n| **Active Zone Minutes** | Interval | list, reconcile, rollup, dailyRollup | activity_and_fitness | **Yes** |\\n| **Altitude** | Interval | list, reconcile, rollup, dailyRollup | activity_and_fitness | **Yes** |\\n| **Body Fat** | Sample | list, get, reconcile, rollup, dailyRollup, create, update, batchDelete | health_metrics_and_measurements | **Yes** |\\n| **Calories In HR Zone** | Interval | rollup, dailyRollup | activity_and_fitness | **Yes** |\\n| **Daily HR Variability** | Daily | list, reconcile | health_metrics_and_measurements | **Yes** |\\n| **Daily Resting HR** | Daily | list, reconcile | health_metrics_and_measurements | **Yes** |\\n| **Distance** | Interval | list, reconcile, rollup, dailyRollup | activity_and_fitness | **Yes** |\\n| **Exercise** | Session | list, get, reconcile, create, update, batchDelete | activity_and_fitness | **Yes** |\\n| **Floors** | Interval | reconcile, rollup, dailyRollup | activity_and_fitness | **Yes** |\\n| **Heart Rate** | Sample | list, reconcile, rollup, dailyRollup | health_metrics_and_measurements | **Yes** |\\n| **Height** | Sample | list, get, reconcile, create, update, batchDelete | health_metrics_and_measurements | No |\\n| **Hydration Log** | Session | list, get, reconcile, rollup, dailyRollup, create, update, batchDelete | nutrition | No |\\n| **Sleep** | Session | list, get, reconcile, create, update, batchDelete | sleep | **Yes** |\\n| **Steps** | Interval | list, reconcile, rollup, dailyRollup | activity_and_fitness | **Yes** |\\n| **Total Calories** | Interval | rollup, dailyRollup | activity_and_fitness | **Yes** |\\n| **Weight** | Sample | list, get, reconcile, rollup, dailyRollup, create, update, batchDelete | health_metrics_and_measurements | **Yes** |\\n\\n*Note: Several other types (Activity Level, Daily Oxygen Saturation, Respiratory Rate, VO2 Max, etc.) are available primarily for `list` and `reconcile` operations.*\\n\\n---\\n\\n## 🔄 Data Availability & Synchronization\\nData is not available in the API until it has been synced from the user's device to the Fitbit/Google cloud infrastructure.\\n\\n### Sync Mechanics\\n* **Direct Communication:** Fitbit devices **cannot** communicate directly with third-party apps. They must sync with the Fitbit mobile app first.\\n* **Standard Sync:** Occurs every **15 minutes** if the app is open (foreground or background), Bluetooth is active, and a data connection exists.\\n* **MobileTrack Sync:** Occurs every **hour** if the app is open.\\n* **Manual Entry:** Data entered manually in the Fitbit web or mobile app is available immediately after the app syncs.\\n\\n---\\n\\n## 📏 Distance Standards\\nThe API uses **millimeters (mm)** as the standard unit for all distance-related metrics (e.g., `elevationGainMillimeters`).\\n\\n> **Why Millimeters?**\\n> 1. **Precision:** Prevents data loss by using a fine-grained unit.\\n> 2. **Standardization:** Ensures a uniform experience across all Google Health services.\\n> 3. **Universal Conversion:** Provides a base unit that easily converts to metric (cm, m, km) or imperial (in, ft, mi) systems.\\n\\n---\\n\\n## 🛠️ Record Type Definitions\\n* **Sample:** Discrete data points captured at a specific moment.\\n* **Interval:** Data representing a span of time (often aggregatable).\\n* **Daily:** Metrics summarized on a per-day basis.\\n* **Session:** Activity blocks with a defined start and end time (e.g., a workout or sleep period).\",\n \"error\": null\n }\n ]\n}", "tool_call_id": "call_00_e9NVDt2fi3b4p1Xcyxp88759" }, { "role": "tool", "name": "web_search", "content": "{\n \"success\": true,\n \"data\": {\n \"web\": [\n {\n \"url\": \"https://developers.google.com/health/data-types\",\n \"title\": \"Data types - Health API - Google for Developers\",\n \"description\": \"The following table contains the full list of data types, with several columns\\nto help you understand the representation of each type in the Google Health API,\\nas well as the scope each is available under.\\n[...]\\n| Body Fat `body-fat` `body_fat` | Sample | list, get, reconcile, rollup, dailyRollup, create, update, batchDelete | health_metrics_and_measurements | Yes |\\n[...]\\n| Calories In Heart Rate Zone `calories-in-heart-rate-zone` `calories_in_heart_rate_zone` | Interval | rollup, dailyRollup | activity_and_fitness | Yes |\\n[...]\\n| Daily Heart Rate Variability `daily-heart-rate-variability` `daily_heart_rate_variability` | Daily | list, reconcile | health_metrics_and_measurements | Yes |\\n[...]\\n| Daily Respiratory Rate `daily-respiratory-rate` `daily_respiratory_rate` | Daily | list, reconcile | health_metrics_and_measurements | |\\n[...]\\n| Daily Resting Heart Rate `daily-resting-heart-rate` `daily_resting_heart_rate` | Daily | list, reconcile | health_metrics_and_measurements | Yes |\\n[...]\\n| Daily Sleep Temperature Derivations `daily-sleep-temperature-derivations` `daily_sleep_temperature_derivations` | Daily | list, reconcile | health_metrics_and_measurements | Yes |\\n[...]\\n| Heart Rate `heart-rate` `heart_rate` | Sample | list, reconcile, rollup, dailyRollup | health_metrics_and_measurements | Yes |\\n[...]\\n| Hydration Log `hydration-log` `hydration_log` | Session | list, get, reconcile, rollup, dailyRollup, create, update, batchDelete | nutrition | |\\n[...]\\n| Respiratory Rate Sleep Summary `respiratory-rate-sleep-summary` `respiratory_rate_sleep_summary` | Sample | list, reconcile | health_metrics_and_measurements | |\\n[...]\\n| Sleep `sleep` `sleep` | Session | list, get, reconcile, create, update, batchDelete | sleep | Yes |\\n[...]\\n| Steps `steps` `steps` | Interval | list, reconcile, rollup, dailyRollup | activity_and_fitness | Yes |\\n[...]\\n| Weight `weight` `weight` | Sample | list, get, reconcile, rollup, dailyRollup, create, update, batchDelete | health_metrics_and_measurements | Yes |\",\n \"position\": 1\n },\n {\n \"url\": \"https://developers.google.com/health/reference/rest/v4/users.dataTypes.dataPoints\",\n \"title\": \"REST Resource: users.dataTypes.dataPoints | Google Health API\",\n \"description\": \"| JSON representation |\\n| --- |\\n[...]\\n| `{ \\\"name\\\": string, \\\"dataSource\\\": { object (`https://developers.google.com/health/reference/rest/v4/users.dataTypes.dataPoints#DataSource`) }, // Union field `data` can be only one of the following: \\\"steps\\\": { object (`https://developers.google.com/health/reference/rest/v4/users.dataTypes.dataPoints#Steps`) }, \\\"floors\\\": { object (`https://developers.google.com/health/reference/rest/v4/users.dataTypes.dataPoints#Floors`) }, \\\"heartRate\\\": { object (`https://developers.google.com/health/reference/rest/v4/users.dataTypes.dataPoints#HeartRate`) }, \\\"sleep\\\": { object (`https://developers.google.com/health/reference/rest/v4/users.dataTypes.dataPoints#Sleep`) }, \\\"dailyRestingHeartRate\\\": { object (`https://developers.google.com/health/reference/rest/v4/users.dataTypes.dataPoints#DailyRestingHeartRate`) }, \\\"dailyHeartRateVariability\\\": { object (`https://developers.google.com/health/reference/rest/v4/users.dataTypes.dataPoints#DailyHeartRateVariability\\n[...]\\nexercise\\\": { object (`https://developers.google.com/health/reference/rest/v4/users.dataTypes.dataPoints#Exercise`) }, \\\"\\n[...]\\n}, \\\"altitude\\\": { object (`https://developers.google.com/health/reference/rest/v4/users.dataTypes.dataPoints#Altitude`) }, \\\"distance\\\": { object (`https://developers.google.com/health/reference/rest/v4/users.dataTypes.dataPoints#Distance`) }, \\\"bodyFat\\\": { object (`https://developers.google.com/health/reference/rest/v4/users.dataTypes.dataPoints#BodyFat`) }, \\\"activeZoneMinutes\\\": { object (`https://developers.google.com/health/reference/rest/v4/users.dataTypes.dataPoints#ActiveZoneMinutes`) }, \\\"heartRateVariability\\\": { object (`https://developers.google.com/health/reference/rest/v4/users.dataTypes.dataPoints#HeartRateVariability`) }, \\\"dailySleepTemperatureDerivations\\\": { object (`https://developers.google.com/health/reference/rest/v4/users.dataTypes.dataPoints#DailySleepTemperatureDerivations`) }, \\\"sedentaryPeriod\\\": { object (`https://developers.google.com/health/reference/rest/v4/users.dataTypes.dataPoints#SedentaryPeriod`) }, \\\"runVo2Max\\\": { object (`https://developers.google.com/health/reference/rest/v4/users.dataTypes.dataPoints#RunVO2Max`) }, \\\"oxygenSaturation\\\": { object (`https://developers.google.com/health/reference/rest/v4/users.dataTypes.dataPoints#OxygenSaturation`) }, \\\"dailyOxygenSaturation\\\": { object (`https://developers.google.com/health/reference/rest/v4/users.dataTypes.dataPoints#DailyOxygenSaturation`) }, \\\"activityLevel\\\": { object (`https://developers.google.com/health/reference/rest/v4/users.dataTypes.dataPoints#ActivityLevel`) }, \\\"vo2Max\\\": { object (`https://developers.google.com/health/reference/rest/v4/users.dataTypes.dataPoints#VO2Max`) }, \\\"dailyVo2Max\\\": { object (`https://developers.google.com/health/reference/rest/v4/users.dataTypes.dataPoints#DailyVO2Max`) }, \\\"dailyHeartRateZones\\\": { object (`https://developers.google.com/health/reference/rest/v4/users.dataTypes.dataPoints#DailyHeartRateZones`) }, \\\"hydrationLog\\\": { object (`https://developers.google.com/health/reference/rest/v4/users.dataTypes.dataPoints#HydrationLog`) }, \\\"timeInHeartRateZone\\\": { object (`https://developers.google.com/health/reference/rest/v4/users.dataTypes.dataPoints#TimeInHeartRateZone`) }, \\\"activeMinutes\\\": { object (`https://developers.google.com/health/reference/rest/v4/users.dataTypes.dataPoints#ActiveMinutes`) }, \\\"respiratoryRateSleepSummary\\\": { object (`https://developers.google.com/health/reference/rest/v4/users.dataTypes.dataPoints#RespiratoryRateSleepSummary`) }, \\\"dailyRespiratoryRate\\\": { object (`https://developers.google.com/health/reference/rest/v4/users.dataTypes.dataPoints#DailyRespiratoryRate`) } // End of list of possible types for union field\\n[...]\\ndata`. }` |\\n[...]\\n| `weight` | `object (`https://developers.google.com/health/reference/rest/v4/users.dataTypes.dataPoints#Weight`)` Data for points in the `weight` sample data type collection. |\",\n \"position\": 2\n },\n {\n \"url\": \"https://developers.google.com/health/release-notes\",\n \"title\": \"Release notes  |  Google Health API  |  Google for Developers\",\n \"description\": \"### New Data Types\\n[...]\\n- Activity & Fitness : `swim-lengths-data`\\n- Health Metrics & Measurements : `height`\\n[...]\\n- Automatic subscription creation when a subscriber is registered.\\n- Manually manage your subscriptions using the `project.subscribers` endpoints\\n- Notification support for the data types `activeZoneMinutes`, `altitude`, `bodyFat`, `caloriesInHeartRateZone`, `dailyHeartRateVariability`, `dailyHeartRateZones`, `dailyOxygenSaturation`, `dailyRestingHeartRate`, `dailySleepTemperatureDerivations`, `distance`, `exercise`, `floors`, `heartRate`, `sleep`, `steps`, `totalCalories`, and `weight`.\\n[...]\\n.\\n- Support for the OAuth Playground : The Google Health API v4 is listed on the OAuth 2.0 Playground, a tool that lets you to call the endpoints that support Google's OAuth Library.\\n[...]\\n- Default Intraday Support: Retrieve granular, intraday data by default using the list endpoint, eliminating extra steps.\\n[...]\\n### Supported Data Types\\n[...]\\nData Types Supporting Read:\\n[...]\\n- Activity & Fitness: Active Minutes, Active Zone Minutes, Activity Level, Altitude, Calories in Heart Rate Zones, Daily VO2 Max, Distance, Exercise, Floors, Run VO2 Max, Sedentary Period, Steps, Time in Heart Rate Zone, Total Calories, VO2 Max\\n[...]\\n- Health Metrics & Measurements: Body Fat, Daily Heart Rate Variability, Daily Heart Rate Zones, Daily Oxygen Saturation, Daily Respiratory Rate, Daily Resting Heart Rate, Daily Sleep Temperature Derivations, Heart Rate, Heart Rate Variability, Oxygen Saturation, Respiratory Rate Sleep Summary, Weight\\n[...]\\n- Identity: Returns the Fitbit user ID and the Google user ID\\n- Location: GPS data based on a recorded exercise exposed in TCX format\\n- Nutrition: Hydration Log\\n- Profile: Users basic profile information\\n- Settings: Users configured device and mobile app settings\\n- Sleep: Classic and Stages sleep logs\\n[...]\\nData Types Supporting Write:\\n[...]\\nYou can write and modify data for these data types:\\n[...]\\n- Activity & Fitness: Exercise\\n- Health Metrics & Measurements: Body Fat, Weight\\n- Profile\\n- Settings\\n- Sleep\\n[...]\\nThe following endpoints are\\n[...]\\nto manage subscriptions\\n[...]\\n- `users`: `getIdentity`, `getProfile`, `getSettings`, `updateProfile`, and `updateSettings` methods for identity and profile management.\\n- `users.dataTypes.dataPoints`: `batchDelete`, `dailyRollUp`, `list`, `patch`, `reconcile`, and `rollUp` methods for comprehensive data type management.\",\n \"position\": 3\n },\n {\n \"url\": \"https://developers.google.com/health/reference/rest/v4/users.dataTypes.dataPoints/get\",\n \"title\": \"Method: users.dataTypes.dataPoints.get  |  Google Health API  |  Google for Developers\",\n \"description\": \"Method: users.dataTypes.dataPoints.get | Google Health API | Google for Developers\\n[...]\\n# Method: users.dataTypes.dataPoints.get\\n[...]\\nGet a single identifyable data point.\\n[...]\\n`GET https://health.googleapis.com/v4/{name=users/*/dataTypes/*/dataPoints/*}`\\n[...]\\nRequired. The name of the data point to retrieve.\\n[...]\\nFormat:`users/{user}/dataTypes/{dataType}/dataPoints/{dataPoint}`\\n[...]\\nSee DataPoint.name for examples and possible values. It takes the form`users/{user}/dataTypes/{datatype}/dataPoints/{datapoint}`.\\n[...]\\nIf successful, the response body contains an instance of DataPoint.\\n[...]\\nRequires one of the following OAuth scopes:\\n[...]\\n- `https://www.googleapis.com/auth/googlehealth.activity_and_fitness`\\n- `\\n https://www.googleapis.com/auth/googlehealth.activity_and_fitness.readonly`\\n- `\\n https://www.googleapis.com/auth/googlehealth.health_metrics_and_measurements`\\n- `\\n https://www.googleapis.com/auth/googlehealth.health_metrics_and_measurements.readonly`\\n- `\\n https://www.googleapis.com/auth/googlehealth.location`\\n- `\\n https://www\\n[...]\\ncom/auth/googlehealth.location.readonly`\\n- `\\n https://www.googleapis.com/auth/googlehealth.nutrition`\\n- `\\n https://www.googleapis.com/auth/googlehealth.nutrition.readonly`\\n- `\\n https://www.googleapis.com/auth/googlehealth.sleep`\\n- `\\n https://www.googleapis.com/auth/googlehealth.sleep.readonly`\",\n \"position\": 4\n },\n {\n \"url\": \"https://developers.google.com/health/endpoints\",\n \"title\": \"Endpoints  |  Google Health API  |  Google for Developers\",\n \"description\": \"Query parameters are used when the data is part of the URL. This is primarily\\nfor `GET` requests (fetching a resource) or `LIST` requests\\n(filtering/pagination), but is also used for `DELETE` operations.\\n[...]\\nAll dates in the Google Health API are displayed in the format `YYYY-MM-DD`. The\\nNutrition API supports the ISO-8601 standard for date values with the following\\nconditions:\\n[...]\\n### Get intraday or detailed data collected throughout a day\\n[...]\\nUse the `list`\\nendpoint for a specific\\ndata type to get intraday or detailed data collected throughout the day in\\nsupported intervals for that data type.\\n[...]\\n```\\nGET https://health.googleapis.com/v4/users/me/dataTypes/steps/dataPoints\\nAuthorization: Bearer access-token\\nAccept: application/json\\n[...]\\n6\\n }\\n }\\n },\\n \\\"count\\\": \\\"40\\\"\\n }\\n },\\n[...]\\n4tuMn1\\n[...]\\npntsn\\n[...]\\n### Filter data by an interval civil start time\\n[...]\\nUse the `list` endpoint with a `filter` parameter to filter data by civil time\\nor an interval.\\n[...]\\nImportant: The format of data type identifiers differs when the data type has more than one word. In an endpoint, the data type name must be in kebab case, such as `body-fat`. In a filter parameter, however, the data type name must be in snake case, such as `body_fat`.\\n[...]\\n```\\nGET https://health.googleapis.com/v4/users/me/dataTypes/steps/dataPoints?filter=steps.interval.civil_start_time >= \\\"2026-03-04T00:00:00\\\"\\nAuthorization: Bearer access-token\\nAccept: application/json\\n[...]\\n### Filter data by a sample observation physical time\\n[...]\\nUse the `list` endpoint with a `filter` parameter to filter data by sample\\nobservation physical time.\\n[...]\\n### Filter data by data sources such as wearables\\n[...]\\nUse the `reconcile`\\nendpoint to get\\ndata by a \\\"data source family\\\" in a reconciled stream.\\n[...]\\nImportant: The format of data type identifiers differs when the data type has more than one word. In an endpoint, the data type name must be in kebab case, such as `body-fat`. In a filter parameter, however, the data type name must be in snake case, such as `body_fat`.\\n[...]\\nHere's an example of filtering only the tracker-recorded sleep for the day after\\n2026-03-03:\\n[...]\\n```\\nGET https://health.googleapis.com/v4/users/me/dataTypes/sleep/dataPoints:reconcile?dataSourceFamily=users/me/dataSourceFamilies/google-wearables&filter=sleep.interval.civil_end_time >= \\\"2026-03-03\\\"\\nAuthorization: Bearer access-token\\nAccept: application/json\\n[...]\\n{\\n \\\"dataPoints\\\": [\\n {\\n \\\"name\\\": \\\"users/2515055256096816351/dataTypes/sleep/dataPoints/2724123844716220216\\\",\\n \\\"dataSource\\\": {\\n \\\"recordingMethod\\\": \\\"DERIVED\\\",\\n \\\"device\\\": {\\n \\\"displayName\\\": \\\"Charge 6\\\"\\n },\\n \\\"platform\\\": \\\"FITBIT\\n[...]\\n},\\n \\\"sleep\\\": {\\n \\\"interval\\\": {\\n \\\"startTime\\\": \\\"2026-03-03T20:57:30Z\\\",\\n \\\"startUtcOffset\\\": \\\"0s\\\",\\n \\\"endTime\\\": \\\"2026-03-04T04:41:30Z\\\",\\n \\\"endUtcOffset\\\": \\\"0s\\\"\\n },\\n \\\"type\\\": \\\"STAGES\\\",\\n \\\"stages\\\": [\\n {\\n \\\"startTime\\\": \\\"2026-03-03T20:57:30Z\\\",\\n \\\"startUtcOffset\\\": \\\"0s\\\",\\n \\\"endTime\\\": \\\"2026-03-03T20:59:30Z\\\",\\n \\\"endUtcOffset\\\": \\\"0s\\\",\\n \\\"type\\\": \\\"AWAKE\\\",\\n \\\"createTime\\\": \\\"2026-03-04T04:43:40.937183Z\\\",\\n \\\"updateTime\\\": \\\"2026-03-04T04:43:40.937183Z\\\"\\n },\\n[...]\\n### Aggregate data points over a range of time\\n[...]\\nUse the `rollUp`\\nendpoint to return the\\naggregate of data points based on a window in seconds, over the `datetime` range\\nbased on the users physical time (in UTC).\\n[...]\\n### Aggregate data across a single day or multiple days\\n[...]\\nThe `dailyRollUp`\\nendpoint should be\\nused when you want to aggregate data across\\na single day or multiple days, known as `windowSize`. Provide the closed-open\\ncivil time range for the required interval in the request body. Depending on the\\ndata type, you will either receive the sum or the average over the interval.\",\n \"position\": 5\n }\n ]\n }\n}", "tool_call_id": "call_01_vPswxOomi5EUW8Zkk61K7718" }, { "role": "tool", "name": "web_search", "content": "{\n \"success\": true,\n \"data\": {\n \"web\": [\n {\n \"url\": \"https://github.com/ShuchirJ/HCGateway/commit/e810ccba6fe91c2b4434e06bebb56925f3fed0d8\",\n \"title\": \"Auth rewrite (#21) · e810ccb · ShuchirJ/HCGateway\",\n \"description\": \"python3 migrate_1.5.0.\\n[...]\\n+> [!WARNING]\\r\\n+> v1 routes for the server are now deprecated and will be removed by March 4th, 2025 (90 days) for security reasons. Please update your applications to use the v2 routes. You can find the documentation for the v2 routes here\\n[...]\\n+\\r\\n ## How it Works\\r\\n - The mobile application pings the server every 2 hours to send data. The following data types are supported-\\r\\n - Active Calories Burned (`activeCaloriesBurned`)\\n[...]\\n### doc/api-documentation.yml\\n[...]\\n\\\"/api/v2/\\n[...]\\n:\\n+\\n[...]\\noperationId:\\n[...]\\n/json:\\n[...]\\n/schemas/\\n[...]\\n+ \\\"/api/v2/refresh\\\":\\n+ post:\\n+ operationId: refresh_token\\n+ description: Refresh a user token.\\n+ parameters: []\\n+ requestBody:\\n+ content:\\n+ application/json:\\n+ schema:\\n+ properties:\\n+ refresh:\\n+ nullable: false\\n+ type: string\\n+ description: The refresh token you got when you logged in.\\n[...]\\n+ responses:\\n+ '200':\\n+ description: ''\\n+ content:\\n+ application/json:\\n+ schema:\\n+ \\\"$ref\\\": \\\"#/components/schemas/loginObject\\\"\\n[...]\\n+ \\\"/api/v2/fetch/{method}\\\":\\n+ post:\\n+ operationId: fetch\\n+ description: Get data from the database.\\n+ security:\\n+ - bearerAuth: []\\n+ parameters:\\n+ - in: path\\n+ name: method\\n+ required: true\\n+ schema:\\n+ type: string\\n+ description: 'Can be one of the following: activeCaloriesBurned, basalBodyTemperature,\\n+ basalMetabolicRate, bloodGlucose, bloodPressure, bodyFat, bodyTemperature,\\n+ boneMass, cervicalMucus, distance, exerciseSession, elevationGained, floorsClimbed,\\n+ heartRate, height, hydration, leanBodyMass, menstruationFlow, menstruationPeriod,\\n+ nutrition, ovulationTest, oxygenSaturation, power, respiratoryRate, restingHeartRate,\\n+ sleepSession, speed, steps, stepsCadence, totalCaloriesBurned, vo2Max, weight,\\n+ wheelchairPushes'\\n+ responses:\\n+ '200':\\n+ description: ''\\n+ content:\\n+ application/json:\\n+ schema:\\n+ \\\"$ref\\\": \\\"#/components/schemas/dataObject\\\"\\n[...]\\n+ \\\"/api/v2/push/{method}\\\":\\n+ put:\\n+ operationId: pushData\\n+ description: Insert data into your local Health Connect store. This method does\\n+ not add the data to the HCGateway database. This method is only used to push\\n+ data to your local Health Connect store. This is so you can sync + fetch to\\n+ verify the record has been added.\\n[...]\\n+ security:\\n[...]\\nrestingHeartRate\\n[...]\\ntotalCaloriesBurn\\n[...]\\n\\\"/api/delete/{method}\\\":\\n[...]\\n+ schemas:\\n+ dataObject:\\n+ properties:\\n+ _id:\\n+ nullable: false\\n+ type: string\\n+ description: The id Health Connect stored the object with.\\n[...]\\n+ data:\\n+ nullable: false\\n[...]\\ntype:\\n[...]\\n+ description\\n[...]\\ndata stored in Health\\n[...]\\na time-\\n[...]\\n+ properties:\\n[...]\\n+ nullable: false\\n[...]\\n+ description\\n[...]\\n+ fetchParameters:\\n+ properties:\\n+ queries:\\n+ nullable: true\\n+ type: object\\n+ description: Queries to use to filter\\n[...]\\ndata. Must be a valid mongodb\\n[...]\\nquery. See https\\n[...]\\n/read/specify-a-query/\\n[...]\\npushParameters:\\n+ properties:\\n+ data:\\n+ nullable: false\\n+ type: array\\n[...]\\n+ items:\\n+ type: object\\n+ description: The record to push. This can be an object or array of objects.\",\n \"position\": 1\n },\n {\n \"url\": \"https://github.com/ShuchirJ/HCGateway/commit/92403a69d54d184e97b9b994b79c875a2b56c08b\",\n \"title\": \"update documentation · 92403a6 · ShuchirJ/HCGateway\",\n \"description\": \"- Repository: ShuchirJ/HCGateway | A universal REST API bridge for apps like Google Fit, Fitbit, Samsung Health, and more utilizing the Android Health Connect API. | 396 stars | JavaScript\\n[...]\\n### doc/api-documentation.yml\\n[...]\\n```diff\\n@@ -93,6 +93,11 @@ paths:\\n nutrition, ovulationTest, oxygenSaturation, power, respiratoryRate, restingHeartRate,\\n sleepSession, speed, steps, stepsCadence, totalCaloriesBurned, vo2Max, weight,\\n wheelchairPushes'\\n+ requestBody:\\n+ content:\\n+ application/json:\\n+ schema:\\n+ \\\"$ref\\\": \\\"#/components/schemas/pushParameters\\\"\\n responses:\\n '200':\\n description: ''\\n```\",\n \"position\": 2\n },\n {\n \"url\": \"https://github.com/ShuchirJ/HCGateway/blob/main/README.md\",\n \"title\": \"README.md at main · ShuchirJ/HCGateway\",\n \"description\": \"HCGateway is a platform to let developers connect to the Health Connect API on Android via a REST API. You can view the documentation for the REST API here\\n[...]\\n- The mobile application pings the server every 2 hours to send data. The following data types are supported-\\r\\n - Active Calories Burned (`activeCaloriesBurned`)\\r\\n - Basal Body Temperature (`basalBodyTemperature`)\\r\\n - Basal Metabolic Rate (`basalMetabolicRate`)\\r\\n - Blood Glucose (`bloodGlucose`)\\r\\n - Blood Pressure (`bloodPressure`)\\r\\n - Body Fat (`bodyFat`)\\r\\n - Body Temperature (`bodyTemperature`)\\r\\n - Bone Mass (`boneMass`)\\r\\n - Cervical Mucus (`cervicalMucus`)\\r\\n - Distance (`distance`)\\r\\n - Exercise (`exerciseSession`)\\r\\n - Elevation Gained (`elevationGained`)\\r\\n - Floors Climbed (`floorsClimbed`)\\r\\n - Heart Rate (`heartRate`)\\r\\n - Height (`height`)\\r\\n - Hydration (`hydration`)\\r\\n - Lean Body Mass (`leanBodyMass`)\\r\\n - Menstruation Flow (`menstruationFlow`)\\r\\n - Menstruation Period (`menstruationPeriod`)\\r\\n - Nutrition (`nutrition`)\\r\\n - Ovulation Test (`ovulationTest`)\\r\\n - Oxygen Saturation (`oxygenSaturation`)\\r\\n - Power (`power`)\\r\\n - Respiratory Rate (`respiratoryRate`)\\r\\n - Resting Heart Rate (`restingHeartRate`)\\r\\n - Sleep (`sleepSession`)\\r\\n - Speed (`speed`)\\r\\n - Steps (`steps`)\\r\\n - StepsCadence (`stepsCadence`)\\r\\n - Total Calories Burned (`totalCaloriesBurned`)\\r\\n - VO2 Max (`vo2Max`)\\r\\n - Weight (`weight`)\\r\\n - Wheelchair Pushes (`wheelchairPushes`)\\n[...]\\nSupport for more types is planned for the future.\\n[...]\\n- There is a live instance hosted at https://api.hcgateway.shuchir.dev/ that you can use. You can also host your own instance. To learn more on Self Hosting, skip down to the Self Hosting section.\\r\\n>\\n[...]\\nhosted server,\\n[...]\\n} \\n```\\n[...]\\n### Database Structure\\n[...]\\n```\\r\\nhcgateway_[user_id]: string { \\n dataType: string { \\n _id: string \\n data: string \\n id: string \\n start: datetime \\n end: datetime \\n app: string \\n } \\n} \\n```\\n[...]\\n### Parameters\\n[...]\\n- `$id` - The ID of the object. \\r\\n- `data` - The data of the object encrypted using Fernet. When asked for through the API, the data will be decrypted for you using the user's hashed password found from the user id.\\r\\n- `id` - The ID of the object- This is the same as `_id` and is only kept for backward compatibility. May be removed in future versions.\\r\\n- `start` - The start date and time of the object\\r\\n- `end` - The end date and time of the object. Might not be present for some objects.\\r\\n- `app` - The app package string that the object was synced from.\\n[...]\\n## REST API\\n[...]\\nThe documentation for the REST API can be found at https://hcgateway.shuchir.dev/\",\n \"position\": 3\n },\n {\n \"url\": \"https://developer.android.com/health-and-fitness/health-connect/data-types\",\n \"title\": \"Health Connect data types | Android health & fitness\",\n \"description\": \"Health Connect stores and structures both health and fitness data and medical\\nrecords data. It's important to understand first what data types and permissions\\nHealth Connect offers\\n[...]\\nthat you can\\n[...]\\n's requirements.\\n[...]\\nHealth Connect supports data types that are used across most health and fitness\\napps to provide as much variety as possible. Health Connect aims to offer a\\ncomprehensive view and storage of health and fitness data. These data types fall\\ninto the following categories:\\n[...]\\nThe Health Connect data types table includes several field columns to help you\\nunderstand the structure and requirements of each data type. These columns are\\nas follows:\\n[...]\\nthis data type to help maintain\\n[...]\\nusefulness. |\\n[...]\\n## Health and fitness data types\\n[...]\\nBefore requesting any permissions, your app must declare them in the manifest.\\nSee the Declare permissions section of the Quick start\\nguide for more information.\\n[...]\\n| Additional read permission | Permission declaration |\\n| --- | --- |\\n| Read data in background | |\\n[...]\\n| Background read example guide | `android.permission.health.READ_HEALTH_DATA_IN_BACKGROUND` |\\n| Read historical data | |\\n[...]\\n| Read data older than 30 days guide | `android.permission.health.READ_HEALTH_DATA_HISTORY` |\\n[...]\\n| [Table: Additional read\\n[...]\\nfor Health Connect data types] | |\\n[...]\\nThe following table contains the full list of data types, each with category,\\nfeature flags and guides, and permission declarations.\\n[...]\\n| Basal body temperature - **Record Type:**Instantaneous - Unit: Temperature - #### Mandatory Fields `temperature` `measurementLocation` `metadata` `time` | Cycle Tracking | `https://developer.android.com/reference/kotlin/androidx/\\n[...]\\n/connect/client/records/BasalBody\\n[...]\\n| Basal\\n[...]\\n| Blood glucose Vitals guide - **Record Type:**Instantaneous - #### Mandatory Fields `level` `specimenSource` `mealType` `relationToMeal` `metadata` `time` | Vitals | `https://developer.android.com/reference/kotlin/androidx/health/connect/client/records/BloodGlucoseRecord`\\n[...]\\n| Blood pressure Vitals guide - **Record Type:**Instantaneous - Unit:\\n[...]\\n` `body\\n[...]\\nmeasurementLocation` `metadata` `\\n[...]\\nVitals | `https://developer.android.com/reference/kotlin/androidx/\\n[...]\\n/connect/client\\n[...]\\n| Distance Workouts guide - **Record Type:**Interval - Unit: Length - #### Mandatory Fields `\\n[...]\\n` `metadata` `\\n[...]\\n| Exercise Workouts guide Add exercise routes guide - **Record Type:**Interval - #### Mandatory Fields `\\n[...]\\nType` `endTime`\\n[...]\\n` `segments` `\\n[...]\\n` | Activity | `https\\n[...]\\ndeveloper.android\\n[...]\\n/client/\\n[...]\\n**Record Type:**Series - #### Mandatory Fields `samples` `endTime` `metadata` `\\n[...]\\n` | Vitals\\n[...]\\n| Hydration - **Record Type:**Interval - Unit: Volume - #### Mandatory Fields `endTime` `metadata` `startTime` `volume` | Nutrition | `https://developer.android.com/reference/kotlin/androidx/health/connect/client/records/HydrationRecord`\\n[...]\\n- **Record Type:**Instantaneous\\n[...]\\n**Record Type:**Interval - #### Mandatory Fields `endTime` `metadata\\n[...]\\nSessionType` `\\n[...]\\n` | Wellness | `https\\n[...]\\n.com/reference/\\n[...]\\n/client/\\n[...]\\n| Nutrition - **Record Type:**Interval - Unit: Mass - #### Mandatory Fields `endTime` `mealType` `metadata` `startTime` | Nutrition | `https://developer.android.com/reference/kotlin/androidx/health/connect/client/records/NutritionRecord`\\n[...]\\n| Sleep session Sleep guide Track sleep sessions guide - **Record Type:**Interval - #### Mandatory Fields `endTime` `metadata` `stages` `startTime` | Sleep | `https://developer.android.com/reference/kotlin/androidx/health/connect/client/records/SleepSessionRecord`\\n[...]\\nouts guide - **Record Type\\n[...]\\nInstantaneous - ####\",\n \"position\": 4\n },\n {\n \"url\": \"https://github.com/ShuchirJ/HCGateway/commit/09046a1ec77254ef117beb11e1440d1fcc634299\",\n \"title\": \"Add create, update, and delete methods (#19) · 09046a1 · ShuchirJ/HCGateway\",\n \"description\": \"more types is\\n[...]\\n@@ -120,6 +120,12 @@ The REST API is a simple Flask application that exposes the following endpoints:\\n - `user` - The user ID of the user\\r\\n - `data` - The data to be dumped. \\r\\n \\r\\n+- `/api/sync/` - Delete data from the database. **This method is exclusive to the application, and should not be used otherwise.** This method only removes data from the HCGateway database, and not from your local health connect store. This method is only used to clean the database after a local record has already been deleted.\\n[...]\\n+ - Method: `DELETE`\\r\\n+ - Body Parameters:\\r\\n+ - `userid` - The user ID of the user\\r\\n+ - `uuid` - Can be a string or an array of strings and should be the uuid of the object to delete.\\n[...]\\n+\\r\\n - `/api/fetch/` - Get data from the database.\\r\\n - Method: `POST`\\r\\n - URL Parameters:\\n[...]\\n@@ -140,19 +146,49 @@ The REST API is a simple Flask application that exposes the following endpoints:\\n - Response:\\r\\n - `data` - The data retrieved from the database\\r\\n \\r\\n+- `/api/push/` - Insert data into your local Health Connect store. This method does not add the data to the HCGateway database. This method is only used to push data to your local Health Connect store. This is so you can sync + fetch to verify the record has been added.\\r\\n+ - Method: `PUT`\\r\\n+ - URL Parameters:\\r\\n+ - `method` - The method to use. The methods are listed above, next to each supported data type under the `How It Works` section. For example, to push blood glucose data, you would use `/api/push/bloodGlucose`.\\r\\n+ - Body Parameters:\\r\\n+ - `userid` - The user ID of the user\\r\\n+ - `data` - The data to be pushed. This can be an object or an array of objects. The format of each object depends on the type of data being inserted. All object structures can be found directly from the Health Connect documentation\\r\\n+\\n[...]\\n+- `/api/delete/` - Request deletion for a record. This method does not delete the record from the HCGateway database. This method is only used to request deletion of a record from your local Health Connect store. The app will delete it from the database using the sync method once it has deleted the record(s) locally.\\r\\n+ - Method: `DELETE`\\r\\n+ - URL Parameters:\\r\\n+ - `method` - The method to use. The methods are listed above, next to each supported data type under the `How It Works` section. For example, to delete blood glucose data, you would use `/api/delete/bloodGlucose`.\\r\\n+ - Body Parameters:\\r\\n+ - `userid` - The user ID of the user\\r\\n+ - `uuid` - The UUID of the record to delete. This can be a string or an array of strings.\\n[...]\\n+\\n[...]\\nmethods=['PUT\\n[...]\\ndef pushData\\n[...]\\nuser id provided\\n[...]\\n0\\r\\n+ if not method:\\n[...]\\nmethod provided'}), 4\\n[...]\\n0\\n[...]\\n.json:\\n[...]\\nreturn jsonify({'\\n[...]\\n': 'no data provided'}),\\n[...]\\n0\\n[...]\\n{ access\\n[...]\\n+ { accessType: 'write',\\n[...]\\nType: 'Men\\n[...]\\n+ { accessType: 'write', recordType: 'MenstruationPeriod' },\\n[...]\\n+ { accessType: 'write', recordType: 'Nutrition' },\\n[...]\\n{ accessType: 'write',\\n[...]\\nType: 'Ovulation\\n[...]\\n{ accessType: 'write',\\n[...]\\nType: 'Oxygen\\n[...]\\n{ accessType: 'write', recordType: 'Power' },\\n[...]\\n{ accessType: 'write', recordType: 'RespiratoryRate' },\\n[...]\\n{ accessType: 'write', recordType: 'Rest\\n[...]\\nHeartRate' },\\n[...]\\n{ accessType: 'write', recordType: 'SleepSession' },\\n[...]\\n+ { accessType: 'write', recordType: 'Speed' },\\n[...]\\n+ { accessType: 'write', recordType: 'Steps' },\\n[...]\\n+ { accessType: 'write', recordType: 'StepsCadence' },\\n[...]\\n+ { accessType: 'write', recordType: 'TotalCaloriesBurned' },\\n[...]\\n+ { accessType: 'write', recordType: 'Vo2Max' },\\n[...]\\n+ { accessType: 'write', recordType: 'Weight' },\\n[...]\\n+ { accessType: '\\n[...]\\n', recordType: 'Wheelchair\\n[...]\\n' },\\n ]);\\n[...]\\nconsole.log(granted\",\n \"position\": 5\n }\n ]\n }\n}", "tool_call_id": "call_02_wvIkd6A2Q5Q27K3QRy7O0345" } ] }