diff --git a/.claude/settings.json b/.claude/settings.json deleted file mode 100644 index b2dc4e6ca..000000000 --- a/.claude/settings.json +++ /dev/null @@ -1,8 +0,0 @@ -{ - "env": { - "ANTHROPIC_BASE_URL": "http://localhost:4141", - "ANTHROPIC_AUTH_TOKEN": "dummy", - "ANTHROPIC_MODEL": "gpt-4.1", - "ANTHROPIC_SMALL_FAST_MODEL": "gpt-4.1" - } -} diff --git a/.dockerignore b/.dockerignore new file mode 100644 index 000000000..84aa78f64 --- /dev/null +++ b/.dockerignore @@ -0,0 +1,13 @@ +node_modules + +.vscode/ + +.git/ +.github/ +.gitignore + +dist/ +tests/ +*.md + +.eslintcache diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml new file mode 100644 index 000000000..34715c31e --- /dev/null +++ b/.github/workflows/ci.yml @@ -0,0 +1,32 @@ +name: CI + +on: + push: + branches: [master] + pull_request: + types: [opened, synchronize, reopened] + +jobs: + test: + runs-on: ubuntu-latest + steps: + - uses: actions/checkout@v4 + + - uses: oven-sh/setup-bun@v2 + with: + bun-version: latest + + - name: Install dependencies + run: bun install + + - name: Run linter + run: bun run lint:all + + - name: Run type check + run: bun run typecheck + + - name: Run tests + run: bun test + + - name: Build + run: bun run build \ No newline at end of file diff --git a/.github/workflows/deploy-pages.yml b/.github/workflows/deploy-pages.yml new file mode 100644 index 000000000..e5b05974c --- /dev/null +++ b/.github/workflows/deploy-pages.yml @@ -0,0 +1,40 @@ +name: Deploy to GitHub Pages + +on: + push: + branches: [ "main" ] + workflow_dispatch: + +# Sets permissions of the GITHUB_TOKEN to allow deployment to GitHub Pages +permissions: + contents: read + pages: write + id-token: write + +# Allow only one concurrent deployment, skipping runs queued between the run in-progress and latest queued. +# However, do NOT cancel in-progress runs as we want to allow these production deployments to complete. +concurrency: + group: "pages" + cancel-in-progress: false + +jobs: + deploy: + runs-on: ubuntu-latest + environment: + name: github-pages + url: ${{ steps.deployment.outputs.page_url }} + steps: + - name: Checkout + uses: actions/checkout@v4 + + - name: Setup Pages + uses: actions/configure-pages@v4 + + - name: Upload artifact + uses: actions/upload-pages-artifact@v3 + with: + path: ./pages + + - name: Deploy to GitHub Pages + id: deployment + uses: actions/deploy-pages@v4 \ No newline at end of file diff --git a/.github/workflows/release-docker.yml b/.github/workflows/release-docker.yml new file mode 100644 index 000000000..97b124ba1 --- /dev/null +++ b/.github/workflows/release-docker.yml @@ -0,0 +1,91 @@ +name: Docker Build and Push + +# This workflow uses actions that are not certified by GitHub. +# They are provided by a third-party and are governed by +# separate terms of service, privacy policy, and support +# documentation. + +on: + push: + # branches: [ "main" ] + # Publish semver tags as releases. + tags: [ 'v*.*.*' ] + paths-ignore: + - 'docs/**' + +env: + # Use docker.io for Docker Hub if empty + REGISTRY: ghcr.io + # github.repository as / + #IMAGE_NAME: ${{ github.repository }} + + +jobs: + build: + runs-on: ubuntu-latest + permissions: + contents: read + packages: write + # This is used to complete the identity challenge + # with sigstore/fulcio when running outside of PRs. + id-token: write + + steps: + - name: Checkout repository + uses: actions/checkout@v3 + + - name: Set version + id: version + run: | + mkdir -p handlers + echo ${GITHUB_REF#refs/tags/v} > handlers/VERSION + + # Install the cosign tool except on PR + # https://github.com/sigstore/cosign-installer + - name: Install cosign + if: github.event_name != 'pull_request' + uses: sigstore/cosign-installer@main + - name: Set up QEMU + uses: docker/setup-qemu-action@v2 + with: + platforms: 'arm64,amd64' + + # Workaround: https://github.com/docker/build-push-action/issues/461 + - name: Setup Docker buildx + uses: docker/setup-buildx-action@v2 + + # Login against a Docker registry except on PR + # https://github.com/docker/login-action + - name: Log into registry ${{ env.REGISTRY }} + if: github.event_name != 'pull_request' + uses: docker/login-action@v2 + with: + registry: ${{ env.REGISTRY }} + username: ${{ github.actor }} + password: ${{ secrets.GITHUB_TOKEN }} + + # Extract metadata (tags, labels) for Docker + # https://github.com/docker/metadata-action + - name: Extract Docker metadata + id: meta + uses: docker/metadata-action@v4 + with: + github-token: ${{ secrets.GITHUB_TOKEN }} + images: ${{ env.REGISTRY }}/${{ github.repository }} + tags: | + type=semver,pattern=v{{version}} + type=semver,pattern=v{{major}}.{{minor}} + type=semver,pattern=v{{major}} + + # Build and push Docker image with Buildx (don't push on PR) + # https://github.com/docker/build-push-action + - name: Build and push Docker image + id: build-and-push + uses: docker/build-push-action@v3 + with: + context: . + push: ${{ github.event_name != 'pull_request' }} + tags: ${{ steps.meta.outputs.tags }} + platforms: linux/amd64,linux/arm64 + labels: ${{ steps.meta.outputs.labels }} + diff --git a/.prettierrc b/.prettierrc deleted file mode 100644 index 2c6154e76..000000000 --- a/.prettierrc +++ /dev/null @@ -1,25 +0,0 @@ -{ - "semi": false, - "arrowParens": "avoid", - "printWidth": 120, - "trailingComma": "all", - "useTabs": false, - "quoteProps": "preserve", - "overrides": [ - { - "files": [".vscode/*.json"], - "options": { - "parser": "jsonc", - "quoteProps": "preserve", - "singleQuote": false, - "trailingComma": "all" - } - }, - { - "files": ["*.md"], - "options": { - "printWidth": 80 - } - } - ] -} diff --git a/AGENTS.md b/AGENTS.md new file mode 100644 index 000000000..d509d5b6b --- /dev/null +++ b/AGENTS.md @@ -0,0 +1,47 @@ +# AGENTS.md + +## Build, Lint, and Test Commands + +- **Build:** + `bun run build` (uses tsup) +- **Dev:** + `bun run dev` +- **Lint:** + `bun run lint` (uses @echristian/eslint-config) +- **Lint & Fix staged files:** + `bunx lint-staged` +- **Test all:** + `bun test` +- **Test single file:** + `bun test tests/claude-request.test.ts` +- **Start (prod):** + `bun run start` + +## Code Style Guidelines + +- **Imports:** + Use ESNext syntax. Prefer absolute imports via `~/*` for `src/*` (see `tsconfig.json`). +- **Formatting:** + Follows Prettier (with `prettier-plugin-packagejson`). Run `bun run lint` to auto-fix. +- **Types:** + Strict TypeScript (`strict: true`). Avoid `any`; use explicit types and interfaces. +- **Naming:** + Use `camelCase` for variables/functions, `PascalCase` for types/classes. +- **Error Handling:** + Use explicit error classes (see `src/lib/error.ts`). Avoid silent failures. +- **Unused:** + Unused imports/variables are errors (`noUnusedLocals`, `noUnusedParameters`). +- **Switches:** + No fallthrough in switch statements. +- **Modules:** + Use ESNext modules, no CommonJS. +- **Testing:** + Use Bun's built-in test runner. Place tests in `tests/`, name as `*.test.ts`. +- **Linting:** + Uses `@echristian/eslint-config` (see npm for details). Includes stylistic, unused imports, regex, and package.json rules. +- **Paths:** + Use path aliases (`~/*`) for imports from `src/`. + +--- + +This file is tailored for agentic coding agents. For more details, see the configs in `eslint.config.js` and `tsconfig.json`. No Cursor or Copilot rules detected. diff --git a/CLAUDE.md b/CLAUDE.md deleted file mode 100644 index ef328b4e2..000000000 --- a/CLAUDE.md +++ /dev/null @@ -1,37 +0,0 @@ -# CLAUDE.md - -This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository. - -## Development Commands - -- **Install dependencies**: `bun install` -- **Build**: `bun run build` -- **Dev server (watch)**: `bun run dev` -- **Production start**: `bun run start` -- **Lint**: `bun run lint` -- **Pre-commit lint/fix**: Runs automatically via git hooks (bunx eslint --fix) - -## Architecture Overview - -- **Entry point**: `src/main.ts` defines CLI subcommands (`start` and `auth`) for the Copilot API server and authentication flow. -- **Server**: `src/server.ts` sets up HTTP routes using Hono, maps OpenAI/Anthropic-compatible endpoints, and handles logging/cors. -- **Routes**: Handlers for chat completions, embeddings, models, and messages are under `src/routes/`, providing API endpoints compatible with OpenAI and Anthropic APIs. -- **Copilot communication**: `src/services/copilot/` contains methods for proxying requests (chat completions, model listing, embeddings) to the GitHub Copilot backend using user tokens. -- **Lib utilities**: `src/lib/` contains configuration, token, model caching, and error handling helpers. -- **Authentication**: `src/auth.ts` provides the CLI handler for authenticating with GitHub, managing required tokens, and persisting them locally. - -## API Endpoints - -- **OpenAI-compatible**: - - `POST /v1/chat/completions` - - `GET /v1/models` - - `POST /v1/embeddings` -- **Anthropic-compatible**: - - `POST /v1/messages` - - `POST /v1/messages/count_tokens` - -## Other Notes - -- Ensure Bun (>= 1.2.x) is installed for all scripts and local dev. -- Tokens and cache are handled automatically; manual authentication can be forced with the `auth` subcommand. -- No .cursorrules, .github/copilot-instructions.md, or .cursor/rules found, so follow typical TypeScript/Bun/ESLint conventions as seen in this codebase. diff --git a/Dockerfile b/Dockerfile index 4c5520b3f..1265220ef 100644 --- a/Dockerfile +++ b/Dockerfile @@ -1,4 +1,4 @@ -FROM oven/bun:alpine AS builder +FROM oven/bun:1.2.19-alpine AS builder WORKDIR /app COPY ./package.json ./bun.lock ./ @@ -7,7 +7,7 @@ RUN bun install --frozen-lockfile COPY . . RUN bun run build -FROM oven/bun:alpine AS runner +FROM oven/bun:1.2.19-alpine AS runner WORKDIR /app COPY ./package.json ./bun.lock ./ @@ -17,7 +17,9 @@ COPY --from=builder /app/dist ./dist EXPOSE 4141 -ARG GH_TOKEN -ENV GH_TOKEN=$GH_TOKEN +HEALTHCHECK --interval=30s --timeout=5s --start-period=10s --retries=3 \ + CMD wget --spider -q http://localhost:4141/ || exit 1 -CMD bun run dist/main.js start -g $GH_TOKEN +COPY entrypoint.sh /entrypoint.sh +RUN chmod +x /entrypoint.sh +ENTRYPOINT ["/entrypoint.sh"] diff --git a/README.md b/README.md index 8571d06f9..0d36c13c9 100644 --- a/README.md +++ b/README.md @@ -3,12 +3,43 @@ > [!WARNING] > This is a reverse-engineered proxy of GitHub Copilot API. It is not supported by GitHub, and may break unexpectedly. Use at your own risk. +> [!WARNING] +> **GitHub Security Notice:** +> Excessive automated or scripted use of Copilot (including rapid or bulk requests, such as via automated tools) may trigger GitHub's abuse-detection systems. +> You may receive a warning from GitHub Security, and further anomalous activity could result in temporary suspension of your Copilot access. +> +> GitHub prohibits use of their servers for excessive automated bulk activity or any activity that places undue burden on their infrastructure. +> +> Please review: +> +> - [GitHub Acceptable Use Policies](https://docs.github.com/site-policy/acceptable-use-policies/github-acceptable-use-policies#4-spam-and-inauthentic-activity-on-github) +> - [GitHub Copilot Terms](https://docs.github.com/site-policy/github-terms/github-terms-for-additional-products-and-features#github-copilot) +> +> Use this proxy responsibly to avoid account restrictions. + [![ko-fi](https://ko-fi.com/img/githubbutton_sm.svg)](https://ko-fi.com/E1E519XS7W) +--- + +**Note:** If you are using [opencode](https://github.com/sst/opencode), you do not need this project. Opencode supports GitHub Copilot provider out of the box. + +--- + ## Project Overview A reverse-engineered proxy for the GitHub Copilot API that exposes it as an OpenAI and Anthropic compatible service. This allows you to use GitHub Copilot with any tool that supports the OpenAI Chat Completions API or the Anthropic Messages API, including to power [Claude Code](https://docs.anthropic.com/en/docs/claude-code/overview). +## Features + +- **OpenAI & Anthropic Compatibility**: Exposes GitHub Copilot as an OpenAI-compatible (`/v1/chat/completions`, `/v1/models`, `/v1/embeddings`) and Anthropic-compatible (`/v1/messages`) API. +- **Claude Code Integration**: Easily configure and launch [Claude Code](https://docs.anthropic.com/en/docs/claude-code/overview) to use Copilot as its backend with a simple command-line flag (`--claude-code`). +- **Usage Dashboard**: A web-based dashboard to monitor your Copilot API usage, view quotas, and see detailed statistics. +- **Rate Limit Control**: Manage API usage with rate-limiting options (`--rate-limit`) and a waiting mechanism (`--wait`) to prevent errors from rapid requests. +- **Manual Request Approval**: Manually approve or deny each API request for fine-grained control over usage (`--manual`). +- **Token Visibility**: Option to display GitHub and Copilot tokens during authentication and refresh for debugging (`--show-token`). +- **Flexible Authentication**: Authenticate interactively or provide a GitHub token directly, suitable for CI/CD environments. +- **Support for Different Account Types**: Works with individual, business, and enterprise GitHub Copilot plans. + ## Demo https://github.com/user-attachments/assets/7654b383-669d-4eb9-b23c-06d7aefee8c5 @@ -37,9 +68,54 @@ docker build -t copilot-api . Run the container ```sh -docker run -p 4141:4141 copilot-api +# Create a directory on your host to persist the GitHub token and related data +mkdir -p ./copilot-data + +# Run the container with a bind mount to persist the token +# This ensures your authentication survives container restarts + +docker run -p 4141:4141 -v $(pwd)/copilot-data:/root/.local/share/copilot-api copilot-api +``` + +> **Note:** +> The GitHub token and related data will be stored in `copilot-data` on your host. This is mapped to `/root/.local/share/copilot-api` inside the container, ensuring persistence across restarts. + +### Docker with Environment Variables + +You can pass the GitHub token directly to the container using environment variables: + +```sh +# Build with GitHub token +docker build --build-arg GH_TOKEN=your_github_token_here -t copilot-api . + +# Run with GitHub token +docker run -p 4141:4141 -e GH_TOKEN=your_github_token_here copilot-api + +# Run with additional options +docker run -p 4141:4141 -e GH_TOKEN=your_token copilot-api start --verbose --port 4141 ``` +### Docker Compose Example + +```yaml +version: "3.8" +services: + copilot-api: + build: . + ports: + - "4141:4141" + environment: + - GH_TOKEN=your_github_token_here + restart: unless-stopped +``` + +The Docker image includes: + +- Multi-stage build for optimized image size +- Non-root user for enhanced security +- Health check for container monitoring +- Pinned base image version for reproducible builds + ## Using with npx You can run the project directly using npx: @@ -62,10 +138,12 @@ npx copilot-api@latest auth ## Command Structure -Copilot API now uses a subcommand structure with two main commands: +Copilot API now uses a subcommand structure with these main commands: - `start`: Start the Copilot API server. This command will also handle authentication if needed. - `auth`: Run GitHub authentication flow without starting the server. This is typically used if you need to generate a token for use with the `--github-token` option, especially in non-interactive environments. +- `check-usage`: Show your current GitHub Copilot usage and quota information directly in the terminal (no server required). +- `debug`: Display diagnostic information including version, runtime details, file paths, and authentication status. Useful for troubleshooting and support. ## Command Line Options @@ -83,12 +161,21 @@ The following command line options are available for the `start` command: | --wait | Wait instead of error when rate limit is hit | false | -w | | --github-token | Provide GitHub token directly (must be generated using the `auth` subcommand) | none | -g | | --claude-code | Generate a command to launch Claude Code with Copilot API config | false | -c | +| --show-token | Show GitHub and Copilot tokens on fetch and refresh | false | none | +| --proxy-env | Initialize proxy from environment variables | false | none | ### Auth Command Options -| Option | Description | Default | Alias | -| --------- | ---------------------- | ------- | ----- | -| --verbose | Enable verbose logging | false | -v | +| Option | Description | Default | Alias | +| ------------ | ------------------------- | ------- | ----- | +| --verbose | Enable verbose logging | false | -v | +| --show-token | Show GitHub token on auth | false | none | + +### Debug Command Options + +| Option | Description | Default | Alias | +| ------ | ------------------------- | ------- | ----- | +| --json | Output debug info as JSON | false | none | ## API Endpoints @@ -113,6 +200,15 @@ These endpoints are designed to be compatible with the Anthropic Messages API. | `POST /v1/messages` | `POST` | Creates a model response for a given conversation. | | `POST /v1/messages/count_tokens` | `POST` | Calculates the number of tokens for a given set of messages. | +### Usage Monitoring Endpoints + +New endpoints for monitoring your Copilot usage and quotas. + +| Endpoint | Method | Description | +| ------------ | ------ | ------------------------------------------------------------ | +| `GET /usage` | `GET` | Get detailed Copilot usage statistics and quota information. | +| `GET /token` | `GET` | Get the current Copilot token being used by the API. | + ## Example Usage Using with npx: @@ -147,8 +243,41 @@ npx copilot-api@latest auth # Run auth flow with verbose logging npx copilot-api@latest auth --verbose + +# Show your Copilot usage/quota in the terminal (no server needed) +npx copilot-api@latest check-usage + +# Display debug information for troubleshooting +npx copilot-api@latest debug + +# Display debug information in JSON format +npx copilot-api@latest debug --json + +# Initialize proxy from environment variables (HTTP_PROXY, HTTPS_PROXY, etc.) +npx copilot-api@latest start --proxy-env ``` +## Using the Usage Viewer + +After starting the server, a URL to the Copilot Usage Dashboard will be displayed in your console. This dashboard is a web interface for monitoring your API usage. + +1. Start the server. For example, using npx: + ```sh + npx copilot-api@latest start + ``` +2. The server will output a URL to the usage viewer. Copy and paste this URL into your browser. It will look something like this: + `https://ericc-ch.github.io/copilot-api?endpoint=http://localhost:4141/usage` + - If you use the `start.bat` script on Windows, this page will open automatically. + +The dashboard provides a user-friendly interface to view your Copilot usage data: + +- **API Endpoint URL**: The dashboard is pre-configured to fetch data from your local server endpoint via the URL query parameter. You can change this URL to point to any other compatible API endpoint. +- **Fetch Data**: Click the "Fetch" button to load or refresh the usage data. The dashboard will automatically fetch data on load. +- **Usage Quotas**: View a summary of your usage quotas for different services like Chat and Completions, displayed with progress bars for a quick overview. +- **Detailed Information**: See the full JSON response from the API for a detailed breakdown of all available usage statistics. +- **URL-based Configuration**: You can also specify the API endpoint directly in the URL using a query parameter. This is useful for bookmarks or sharing links. For example: + `https://ericc-ch.github.io/copilot-api?endpoint=http://your-api-server/usage` + ## Using with Claude Code This proxy can be used to power [Claude Code](https://docs.anthropic.com/en/claude-code), an experimental conversational AI assistant for developers from Anthropic. @@ -179,7 +308,16 @@ Here is an example `.claude/settings.json` file: "ANTHROPIC_BASE_URL": "http://localhost:4141", "ANTHROPIC_AUTH_TOKEN": "dummy", "ANTHROPIC_MODEL": "gpt-4.1", - "ANTHROPIC_SMALL_FAST_MODEL": "gpt-4.1" + "ANTHROPIC_DEFAULT_SONNET_MODEL": "gpt-4.1", + "ANTHROPIC_SMALL_FAST_MODEL": "gpt-4.1", + "ANTHROPIC_DEFAULT_HAIKU_MODEL": "gpt-4.1", + "DISABLE_NON_ESSENTIAL_MODEL_CALLS": "1", + "CLAUDE_CODE_DISABLE_NONESSENTIAL_TRAFFIC": "1" + }, + "permissions": { + "deny": [ + "WebSearch" + ] } } ``` diff --git a/bun.lock b/bun.lock index 8633525a8..20e895e7f 100644 --- a/bun.lock +++ b/bun.lock @@ -5,151 +5,108 @@ "name": "copilot-api", "dependencies": { "citty": "^0.1.6", - "clipboardy": "^4.0.0", + "clipboardy": "^5.0.0", "consola": "^3.4.2", "fetch-event-stream": "^0.1.5", "gpt-tokenizer": "^3.0.1", - 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-**Endpoint:** `POST /v1/messages` - -#### Request Body - -The request body is a JSON object. - -| Parameter | Type | Required | Description | -| :--------------- | :-------------- | :------- | :---------------------------------------------------------------------------------------------------------------------------------------------------- | -| `model` | string | Yes | The model that will complete your prompt. Example: `claude-3-7-sonnet-20250219`. | -| `messages` | array | Yes | A list of input messages comprising the conversation so far. See [The Message Object](https://www.google.com/search?q=%23the-message-object) below. | -| `max_tokens` | integer | Yes | The maximum number of tokens to generate. Different models have different maximum values for this parameter. | -| `system` | string or array | No | A system prompt to provide context and instructions to Claude, such as specifying a role or goal. | -| `metadata` | object | No | An object for metadata, such as a `user_id`, to help detect abuse. Do not include any personally identifying information. | -| `stop_sequences` | array | No | Custom text sequences that will cause the model to stop generating. | -| `stream` | boolean | No | If set, the response will be incrementally streamed using server-sent events. Defaults to `false`. | -| `temperature` | number | No | The amount of randomness injected into the response, ranging from `0.0` to `1.0`. Defaults to `1.0`. | -| `thinking` | object | No | Configuration for enabling Claude's extended thinking process, which shows reasoning steps before the final answer. | -| `top_p` | number | No | Use nucleus sampling. The model considers tokens with `top_p` probability mass. You should alter `temperature` or `top_p`, but not both. | -| `top_k` | integer | No | Only sample from the top K options for each subsequent token. Recommended for advanced use cases only. | -| `tools` | array | No | A list of tools the model may use. See [The Tool Object](https://www.google.com/search?q=%23the-tool-object) below. | -| `tool_choice` | object | No | Controls how the model should use tools. Can be `{"type": "auto"}`, `{"type": "any"}`, `{"type": "tool", "name": "tool_name"}` or `{"type": "none"}`. | -| `service_tier` | string | No | Can be set to `auto` or `standard_only` to determine whether to use priority capacity. | - -#### The Message Object - -The `messages` array consists of message objects, where each object has a `role` and `content`. Models are trained on alternating `user` and `assistant` conversational turns. - -| Parameter | Type | Required | Description | -| :-------- | :-------------- | :------- | :---------------------------------------------------------------------------------------------------------- | -| `role` | string | Yes | The role of the message author. Must be either `user` or `assistant`. | -| `content` | string or array | Yes | The content of the message. This can be a simple string or an array of content blocks for multimodal input. | - -**Content Blocks:** For multimodal input, the `content` array can contain different types of blocks. - -- **`text`**: A block with a `type` of "text" and a `text` field containing the string. -- **`image`**: Starting with Claude 3 models, you can send image content blocks. The `source` object must specify a `type` of "base64", a `media_type` (`image/jpeg`, `image/png`, `image/gif`, or `image/webp`), and the `data`. -- **`tool_result`**: A block used to return the output of a tool back to the model. It includes the `tool_use_id`, the `content` from the tool's execution, and an optional `is_error` flag. - -#### The Tool Object - -The `tools` array allows you to define client-side tools the model can call. - -| Parameter | Type | Required | Description | -| :------------- | :----- | :------- | :--------------------------------------------------------------------------------------------------------------- | -| `name` | string | Yes | The name of the tool, which must match the pattern `^[a-zA-Z0-9_-]{1,64}$`. | -| `description` | string | No | A detailed, strongly-recommended description of what the tool does, which helps the model decide when to use it. | -| `input_schema` | object | Yes | A [JSON Schema](https://json-schema.org/draft/2020-12) object describing the parameters the tool accepts. | - -#### Response (200 OK) - -A successful **non-streaming** request returns a `Message` object. - -| Parameter | Type | Description | -| :-------------- | :----- | :---------------------------------------------------------------------------------------------------------------------------------------- | -| `id` | string | A unique identifier for the message object. | -| `type` | string | The object type, which is always `message`. | -| `role` | string | The role of the author, which is always `assistant`. | -| `content` | array | An array of content blocks generated by the model (e.g., `text` or `tool_use`). | -| `model` | string | The model that handled the request. | -| `stop_reason` | string | The reason the model stopped generating tokens. Can be `end_turn`, `max_tokens`, `stop_sequence`, `tool_use`, `pause_turn`, or `refusal`. | -| `stop_sequence` | string | If the model was stopped by a custom stop sequence, this field will contain which sequence was generated. Can be null. | -| `usage` | object | An object containing token usage statistics. See [The Usage Object](https://www.google.com/search?q=%23the-usage-object). | - -#### Streaming Response (200 OK) - -When `stream: true` is set, the API streams the response using server-sent events (SSE). Each event is named (e.g., `event: message_start`) and contains associated JSON data. - -The event flow for a stream is as follows: - -1. `message_start`: Contains a `Message` object with empty `content`. -2. A series of content blocks. Each block has a `content_block_start` event, one or more `content_block_delta` events, and a `content_block_stop` event. The `index` in these events corresponds to the content block's position in the final `content` array. -3. One or more `message_delta` events, which indicate top-level changes to the final `Message` object. The `usage` field in this event contains cumulative token counts. -4. A final `message_stop` event. - -The stream may also include `ping` events to keep the connection alive and `error` events if issues occur. - -##### Content Block Delta Types - -Each `content_block_delta` event contains a `delta` object that updates a content block. - -- **Text Delta**: Updates a `text` content block. - - ```json - event: content_block_delta - data: {"type": "content_block_delta","index": 0,"delta": {"type": "text_delta", "text": "ello frien"}} - ``` - -- **Input JSON Delta**: Used for `tool_use` blocks, these deltas contain partial JSON strings for the tool's `input` field. The partial strings must be accumulated and parsed into a final JSON object upon receiving the `content_block_stop` event. - - ```json - event: content_block_delta - data: {"type": "content_block_delta","index": 1,"delta": {"type": "input_json_delta","partial_json": "{\"location\": \"San Fra"}}} - ``` - -- **Thinking Delta**: When extended thinking is enabled, these deltas update the `thinking` field of a thinking content block. A special `signature_delta` event is sent just before the `content_block_stop` to verify the block's integrity. - - ```json - event: content_block_delta - data: {"type": "content_block_delta", "index": 0, "delta": {"type": "thinking_delta", "thinking": "Let me solve this step by step:\n\n1. First break down 27 * 453"}} - ``` - -#### The Usage Object - -The `usage` object details billing and rate-limit token counts. - -| Parameter | Type | Description | -| :---------------------------- | :------ | :-------------------------------------------------------------------------- | -| `input_tokens` | integer | The number of input tokens used. | -| `output_tokens` | integer | The number of output tokens generated. | -| `cache_creation_input_tokens` | integer | The number of input tokens used to create a cache entry. | -| `cache_read_input_tokens` | integer | The number of input tokens read from the cache. | -| `service_tier` | string | The service tier used for the request (`standard`, `priority`, or `batch`). | - -### Streaming Examples - -#### Basic Streaming Request - -```bash -curl https://api.anthropic.com/v1/messages \ - --header "anthropic-version: 2023-06-01" \ - --header "content-type: application/json" \ - --header "x-api-key: $ANTHROPIC_API_KEY" \ - --data \ -'{ - "model": "claude-opus-4-20250514", - "messages": [{"role": "user", "content": "Hello"}], - "max_tokens": 256, - "stream": true -}' -``` - -**Response:** - -```json -event: message_start -data: {"type": "message_start", "message": {"id": "msg_1nZdL29xx5MUA1yADyHTEsnR8uuvGzszyY", "type": "message", "role": "assistant", "content": [], "model": "claude-opus-4-20250514", "stop_reason": null, "stop_sequence": null, "usage": {"input_tokens": 25, "output_tokens": 1}}} - -event: content_block_start -data: {"type": "content_block_start", "index": 0, "content_block": {"type": "text", "text": ""}} - -event: ping -data: {"type": "ping"} - -event: content_block_delta -data: {"type": "content_block_delta", "index": 0, "delta": {"type": "text_delta", "text": "Hello"}} - -event: content_block_delta -data: {"type": "content_block_delta", "index": 0, "delta": {"type": "text_delta", "text": "!"}} - -event: content_block_stop -data: {"type": "content_block_stop", "index": 0} - -event: message_delta -data: {"type": "message_delta", "delta": {"stop_reason": "end_turn", "stop_sequence":null}, "usage": {"output_tokens": 15}} - -event: message_stop -data: {"type": "message_stop"} -``` - -#### Streaming Request with Tool Use - -```bash -curl https://api.anthropic.com/v1/messages \ - -H "content-type: application/json" \ - -H "x-api-key: $ANTHROPIC_API_KEY" \ - -H "anthropic-version: 2023-06-01" \ - -d '{ - "model": "claude-opus-4-20250514", - "max_tokens": 1024, - "tools": [ - { - "name": "get_weather", - "description": "Get the current weather in a given location", - "input_schema": { - "type": "object", - "properties": { - "location": { - "type": "string", - "description": "The city and state, e.g. San Francisco, CA" - } - }, - "required": ["location"] - } - } - ], - "tool_choice": {"type": "any"}, - "messages": [ - { - "role": "user", - "content": "What is the weather like in San Francisco?" - } - ], - "stream": true - }' -``` - -**Response:** - -```json -event: message_start -data: {"type":"message_start","message":{"id":"msg_014p7gG3wDgGV9EUtLvnow3U","type":"message","role":"assistant","model":"claude-opus-4-20250514","stop_sequence":null,"usage":{"input_tokens":472,"output_tokens":2},"content":[],"stop_reason":null}} - -event: content_block_start -data: {"type":"content_block_start","index":0,"content_block":{"type":"text","text":""}} - -event: ping -data: {"type": "ping"} - -event: content_block_delta -data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"Okay"}} - -event: content_block_delta -data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":","}} - -event: content_block_delta -data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":" let"}} - -event: content_block_delta -data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"'s"}} - -event: content_block_delta -data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":" check"}} - -event: content_block_delta -data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":" the"}} - -event: content_block_delta -data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":" weather"}} - -event: content_block_delta -data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":" for"}} - -event: content_block_delta -data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":" San"}} - -event: content_block_delta -data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":" Francisco"}} - -event: content_block_delta -data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":","}} - -event: content_block_delta -data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":" CA"}} - -event: content_block_delta -data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":":"}} - -event: content_block_stop -data: {"type":"content_block_stop","index":0} - -event: content_block_start -data: {"type":"content_block_start","index":1,"content_block":{"type":"tool_use","id":"toolu_01T1x1fJ34qAmk2tNTrN7Up6","name":"get_weather","input":{}}} - -event: content_block_delta -data: {"type":"content_block_delta","index":1,"delta":{"type":"input_json_delta","partial_json":""}} - -event: content_block_delta -data: {"type":"content_block_delta","index":1,"delta":{"type":"input_json_delta","partial_json":"{\"location\":"}} - -event: content_block_delta -data: {"type":"content_block_delta","index":1,"delta":{"type":"input_json_delta","partial_json":" \"San"}} - -event: content_block_delta -data: {"type":"content_block_delta","index":1,"delta":{"type":"input_json_delta","partial_json":" Francisc"}} - -event: content_block_delta -data: {"type":"content_block_delta","index":1,"delta":{"type":"input_json_delta","partial_json":"o,"}} - -event: content_block_delta -data: {"type":"content_block_delta","index":1,"delta":{"type":"input_json_delta","partial_json":" CA\""}} - -event: content_block_delta -data: {"type":"content_block_delta","index":1,"delta":{"type":"input_json_delta","partial_json":", "}} - -event: content_block_delta -data: {"type":"content_block_delta","index":1,"delta":{"type":"input_json_delta","partial_json":"\"unit\": \"fah"}} - -event: content_block_delta -data: {"type":"content_block_delta","index":1,"delta":{"type":"input_json_delta","partial_json":"renheit\"}"}} - -event: content_block_stop -data: {"type":"content_block_stop","index":1} - -event: message_delta -data: {"type":"message_delta","delta":{"stop_reason":"tool_use","stop_sequence":null},"usage":{"output_tokens":89}} - -event: message_stop -data: {"type":"message_stop"} -``` - -#### Streaming Request with Extended Thinking - -```bash -curl https://api.anthropic.com/v1/messages \ - --header "x-api-key: $ANTHROPIC_API_KEY" \ - --header "anthropic-version: 2023-06-01" \ - --header "content-type: application/json" \ - --data \ -'{ - "model": "claude-opus-4-20250514", - "max_tokens": 20000, - "stream": true, - "thinking": { - "type": "enabled", - "budget_tokens": 16000 - }, - "messages": [ - { - "role": "user", - "content": "What is 27 * 453?" - } - ] -}' -``` - -**Response:** - -```json -event: message_start -data: {"type": "message_start", "message": {"id": "msg_01...", "type": "message", "role": "assistant", "content": [], "model": "claude-opus-4-20250514", "stop_reason": null, "stop_sequence": null}} - -event: content_block_start -data: {"type": "content_block_start", "index": 0, "content_block": {"type": "thinking", "thinking": ""}} - -event: content_block_delta -data: {"type": "content_block_delta", "index": 0, "delta": {"type": "thinking_delta", "thinking": "Let me solve this step by step:\n\n1. First break down 27 * 453"}} - -event: content_block_delta -data: {"type": "content_block_delta", "index": 0, "delta": {"type": "thinking_delta", "thinking": "\n2. 453 = 400 + 50 + 3"}} - -event: content_block_delta -data: {"type": "content_block_delta", "index": 0, "delta": {"type": "thinking_delta", "thinking": "\n3. 27 * 400 = 10,800"}} - -event: content_block_delta -data: {"type": "content_block_delta", "index": 0, "delta": {"type": "thinking_delta", "thinking": "\n4. 27 * 50 = 1,350"}} - -event: content_block_delta -data: {"type": "content_block_delta", "index": 0, "delta": {"type": "thinking_delta", "thinking": "\n5. 27 * 3 = 81"}} - -event: content_block_delta -data: {"type": "content_block_delta", "index": 0, "delta": {"type": "thinking_delta", "thinking": "\n6. 10,800 + 1,350 + 81 = 12,231"}} - -event: content_block_delta -data: {"type": "content_block_delta", "index": 0, "delta": {"type": "signature_delta", "signature": "EqQBCgIYAhIM1gbcDa9GJwZA2b3hGgxBdjrkzLoky3dl1pkiMOYds..."}} - -event: content_block_stop -data: {"type": "content_block_stop", "index": 0} - -event: content_block_start -data: {"type": "content_block_start", "index": 1, "content_block": {"type": "text", "text": ""}} - -event: content_block_delta -data: {"type": "content_block_delta", "index": 1, "delta": {"type": "text_delta", "text": "27 * 453 = 12,231"}} - -event: content_block_stop -data: {"type": "content_block_stop", "index": 1} - -event: message_delta -data: {"type": "message_delta", "delta": {"stop_reason": "end_turn", "stop_sequence": null}} - -event: message_stop -data: {"type": "message_stop"} -``` - -### Count Message Tokens - -Calculates the number of tokens for a given set of messages without creating it. - -**Endpoint:** `POST /v1/messages/count_tokens` - -#### Request Body - -The request accepts a subset of the "Create a Message" parameters. - -| Parameter | Type | Required | Description | -| :--------- | :-------------- | :------- | :----------------------------------- | -| `model` | string | Yes | The model that would be used. | -| `messages` | array | Yes | A list of input messages. | -| `system` | string or array | No | A system prompt. | -| `tools` | array | No | A list of tools the model could use. | - -#### Response (200 OK) - -A successful request returns a JSON object. - -| Parameter | Type | Description | -| :------------- | :------ | :----------------------------------------------------------------------------------------- | -| `input_tokens` | integer | The total number of tokens across the provided list of messages, system prompt, and tools. | - ---- - -## Models API - -The Models API allows you to list and retrieve information about available models. - -### List Models - -Lists the currently available models, with the most recently released models appearing first. - -**Endpoint:** `GET /v1/models` - -#### Response (200 OK) - -A successful request returns a list of model objects. - -| Parameter | Type | Description | -| :--------- | :------ | :------------------------------------------------------------------------------ | -| `data` | array | A list of [Model Objects](https://www.google.com/search?q=%23the-model-object). | -| `has_more` | boolean | Indicates if there are more results in the requested page direction. | - -### Get a Model - -Retrieves a specific model instance by its ID or alias. - -**Endpoint:** `GET /v1/models/{model_id}` - -#### Response (200 OK) - -A successful request returns a single [Model Object](https://www.google.com/search?q=%23the-model-object). - -#### The Model Object - -| Parameter | Type | Description | -| :------------- | :----- | :------------------------------------------------------------------ | -| `id` | string | The unique model identifier. Example: `claude-3-7-sonnet-20250219`. | -| `type` | string | The object type, which is always `model`. | -| `display_name` | string | A human-readable name for the model. Example: `Claude 3.7 Sonnet`. | -| `created_at` | string | An RFC 3339 datetime string of when the model was released. | diff --git a/docs/mapping.md b/docs/mapping.md deleted file mode 100644 index 93e1a2c52..000000000 --- a/docs/mapping.md +++ /dev/null @@ -1,133 +0,0 @@ -### **Comprehensive API Translation: Anthropic Messages & OpenAI Chat Completions** - -This document provides a detailed, side-by-side technical mapping of the Anthropic Messages API and the OpenAI Chat Completions API, verified against their respective specifications. - ---- - -### **1. Endpoints & Authentication** - -| Feature | Anthropic Messages API | OpenAI Chat Completions API | -| :------------------- | :------------------------ | :----------------------------------- | -| **Primary Endpoint** | `POST /v1/messages` | `POST /v1/chat/completions` | -| **Auth Header** | `x-api-key: YOUR_API_KEY` | `Authorization: Bearer YOUR_API_KEY` | - ---- - -### **2. Core Request Parameters** - -This table outlines the translation of primary request body fields. - -| Parameter | Anthropic Messages API (`claude.md`) | OpenAI Chat Completions API (`openapi.documented.yml`) | -| :------------------ | :------------------------------------------- | :------------------------------------------------------------------ | -| **Model** | `model` (e.g., `claude-3-7-sonnet-20250219`) | `model` (e.g., `gpt-4o`) | -| **System Prompt** | `system` (A top-level string) | Prepending a message with `role: "system"` to the `messages` array. | -| **Max Tokens** | `max_tokens` (integer) | `max_tokens` (integer) | -| **Stop Sequences** | `stop_sequences` (array of strings) | `stop` (array of strings) | -| **Streaming** | `stream` (boolean) | `stream` (boolean) | -| **Temperature** | `temperature` (0.0 to 1.0) | `temperature` (0.0 to 2.0) | -| **Top P** | `top_p` (0.0 to 1.0) | `top_p` (0.0 to 1.0) | -| **Top K** | `top_k` (integer) | **Not Supported** | -| **User Identifier** | `metadata.user_id` (string) | `user` (string) | - ---- - -### **3. Message Structure** - -Both APIs use a `messages` array, but the structure and content types differ. - -#### **3.1. Message Roles** - -| Role | Anthropic Messages API | OpenAI Chat Completions API | -| :---------------- | :-------------------------------------------- | :-------------------------- | -| **User** | `user` | `user` | -| **Assistant** | `assistant` | `assistant` | -| **System** | Handled via the top-level `system` parameter. | `system` | -| **Tool/Function** | A `user` message with `tool_result` content. | `tool` | - -#### **3.2. Message Content Types** - -| Content Type | Anthropic Messages API (`claude.md`) | OpenAI Chat Completions API (`openapi.documented.yml`) | -| :-------------- | :----------------------------------------------------------------------------------------------------------------- | :------------------------------------------------------------------------------------------------------- | -| **Text** | `content` can be a single string or an array with `{"type": "text", "text": "..."}`. | A message object's `content` is a string or an array with `{"type": "text", "text": "..."}`. | -| **Image** | `content` array can contain `{"type": "image", "source": {"type": "base64", "media_type": "...", "data": "..."}}`. | `content` array can contain `{"type": "image_url", "image_url": {"url": "data:image/jpeg;base64,..."}}`. | -| **Tool Result** | A `user` message `content` array can contain `{"type": "tool_result", "tool_use_id": "...", "content": "..."}`. | A distinct message object: `{"role": "tool", "tool_call_id": "...", "content": "..."}`. | - ---- - -### **4. Tool & Function Handling** - -| Feature | Anthropic Messages API (`claude.md`) | OpenAI Chat Completions API (`openapi.documented.yml`) | -| :------------------------ | :----------------------------------------------------------------------------------------------------------------------------------- | :------------------------------------------------------------------------------------------------------------------------------------------------------------- | -| **Tool Definition** | `tools` array. Each tool has `name`, `description`, and `input_schema`. | `tools` array. Each tool has `type: "function"` and a `function` object with `name`, `description`, and `parameters`. | -| **Tool Choice** | `tool_choice` object with `type`: \ - `"auto"` \ - `"any"` (Forces use of a tool) \ - `"tool"` (Forces specific tool) | `tool_choice` string or object: \ - `"auto"` \ - `"required"` (Forces use of a tool) \ - `{"type": "function", ...}` (Forces specific function) | -| **Tool Call in Response** | In `content` array as `{"type": "tool_use", "id": "...", "name": "...", "input": {...}}`. | In `message` object as a `tool_calls` array, with `id` and `function` object (`name`, `arguments` as JSON string). | - ---- - -### **5. Response Structure** - -| Feature | Anthropic Messages API (`claude.md`) | OpenAI Chat Completions API (`openapi.documented.yml`) | -| :------------------- | :--------------------------------------------------------------------------------------------- | :------------------------------------------------------------------------------- | -| **Primary Object** | A single response object. | A `choices` array containing one or more message objects. | -| **Stop Reason** | `stop_reason` field. Values: `end_turn`, `max_tokens`, `tool_use`, `stop_sequence`, `refusal`. | `finish_reason` field. Values: `stop`, `length`, `tool_calls`, `content_filter`. | -| **Usage Statistics** | `usage` object with `input_tokens` and `output_tokens`. | `usage` object with `prompt_tokens`, `completion_tokens`, and `total_tokens`. | - ---- - -### **6. Model & Tokenization Endpoints** - -#### **6.1. List Available Models** - -| Feature | Anthropic Messages API | OpenAI Chat Completions API | -| :---------------- | :--------------------------------- | :-------------------------- | -| **Endpoint** | `GET /v1/models` | `GET /v1/models` | -| **Response** | Paginated list in `data` array. | List in `data` array. | -| **Object Fields** | `id`, `display_name`, `created_at` | `id`, `created`, `owned_by` | - -#### **6.2. Retrieve a Specific Model** - -| Feature | Anthropic Messages API | OpenAI Chat Completions API | -| :----------- | :--------------------------- | :-------------------------- | -| **Endpoint** | `GET /v1/models/{model_id}` | `GET /v1/models/{model}` | -| **Response** | A single `ModelInfo` object. | A single `Model` object. | - -#### **6.3. Count Tokens** - -| Feature | Anthropic Messages API | OpenAI Chat Completions API | -| :---------------- | :----------------------------------------------------------------------------------------------------- | :----------------------------------------------------------------------------------------------------------------------------------------------------------------- | -| **Endpoint** | `POST /v1/messages/count_tokens` | **No Direct API Endpoint** | -| **Functionality** | Counts tokens for a message payload (including images and tools) before making a full completion call. | Token counts are returned in the `usage` object only _after_ a completion is generated. Client-side libraries (e.g., `tiktoken`) must be used for pre-calculation. | -| **Response** | `{"input_tokens": ...}` | N/A | - ---- - -### **7. Streaming** - -Both APIs support streaming via Server-Sent Events (SSE), but the event structure is fundamentally different. - -- **Anthropic:** Emits a sequence of distinct, named events such as `message_start`, `content_block_start`, `content_block_delta`, and `message_stop`. This provides a highly structured stream. -- **OpenAI:** Emits a series of unnamed `data:` events containing `chat.completion.chunk` objects with partial updates. The stream terminates with `data: [DONE]`. - -A translation layer must buffer OpenAI's delta chunks to reconstruct Anthropic's structured event stream, including generating necessary IDs and calculating token usage for the final event. - ---- - -### **8. Error Handling** - -Error responses are structurally similar, containing a main `error` object. HTTP status codes generally correspond. - -| HTTP Code | Anthropic `error.type` | OpenAI `error.type` | -| :-------- | :---------------------- | :------------------------ | -| 400 | `invalid_request_error` | `invalid_request_error` | -| 401 | `authentication_error` | `authentication_error` | -| 403 | `permission_error` | `permission_denied_error` | -| 429 | `rate_limit_error` | `rate_limit_error` | -| 500 | `api_error` | `internal_server_error` | - ---- - -### **9. Summary of Key Asymmetrical Features** - -- **`top_k` Sampling:** Supported by Anthropic, but not by OpenAI's Chat Completions API. -- **Partial Assistant Prefill:** Anthropic allows providing a prefix for the assistant's response, a feature OpenAI does not support. -- **Dedicated Token Counting:** Anthropic offers a specific API endpoint to count tokens before a call, whereas OpenAI does not. diff --git a/docs/openai.md b/docs/openai.md deleted file mode 100644 index 47f5bf85a..000000000 --- a/docs/openai.md +++ /dev/null @@ -1,192 +0,0 @@ -# Create Chat Completion - -Creates a model response for the given chat conversation. - -**Endpoint:** `POST /v1/chat/completions` - -### Summary - -This endpoint generates a model response for a given conversation. It is a highly flexible endpoint that supports text generation, vision capabilities, and function calling. - -**Recommendation:** For new projects, it is recommended to use the [Responses API](/docs/api-reference/responses) to leverage the latest platform features. You can find a comparison here: [Chat Completions vs. Responses](/docs/guides/responses-vs-chat-completions?api-mode=responses). - ---- - -## Request Body - -The request body must be a JSON object with the following parameters: - -| Parameter | Type | Required | Description | -| ------------------- | ---------------- | -------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ | -| `messages` | array | Yes | A list of messages comprising the conversation so far. See the [Message Object](#the-message-object) section below. | -| `model` | string | Yes | ID of the model to use. See the [model overview](/docs/models) for available models. | -| `frequency_penalty` | number | No | Number between -2.0 and 2.0. Positive values penalize new tokens based on their existing frequency in the text so far, decreasing the model's likelihood to repeat the same line verbatim. Defaults to 0. | -| `logit_bias` | map | No | A map to modify the likelihood of specified tokens appearing in the completion. Accepts a JSON object that maps token IDs (as keys) to an associated bias value from -100 to 100. | -| `logprobs` | boolean | No | Whether to return log probabilities of the output tokens. If true, returns the log probabilities of each output token in the `content` of `message`. Defaults to `false`. | -| `max_tokens` | integer | No | The maximum number of tokens to generate in the chat completion. The total length of input tokens and generated tokens is limited by the model's context length. **(Deprecated in favor of `max_completion_tokens` on newer models)** | -| `n` | integer | No | How many chat completion choices to generate for each input message. Defaults to 1. | -| `presence_penalty` | number | No | Number between -2.0 and 2.0. Positive values penalize new tokens based on whether they appear in the text so far, increasing the model's likelihood to talk about new topics. Defaults to 0. | -| `response_format` | object | No | An object specifying the format that the model must output. For example, `{"type": "json_object"}`. | -| `seed` | integer | No | (Beta) If specified, the system will make a best effort to sample deterministically. | -| `stop` | string or array | No | Up to 4 sequences where the API will stop generating further tokens. | -| `stream` | boolean | No | If set, partial message deltas will be sent, like in ChatGPT. Tokens will be sent as data-only server-sent events as they become available. Defaults to `false`. | -| `temperature` | number | No | What sampling temperature to use, between 0 and 2. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic. Defaults to 1. | -| `top_p` | number | No | An alternative to sampling with temperature, called nucleus sampling. The model considers the results of the tokens with `top_p` probability mass. So 0.1 means only the tokens comprising the top 10% probability mass are considered. Defaults to 1. | -| `tools` | array | No | A list of tools the model may call. See the [Tool Object](#the-tool-object) section below. | -| `tool_choice` | string or object | No | Controls which, if any, tool is called by the model. Can be `none`, `auto`, `required`, or specify a particular function like `{"type": "function", "function": {"name": "my_function"}}`. | -| `user` | string | No | A unique identifier representing your end-user, which can help OpenAI to monitor and detect abuse. | - ---- - -### The Message Object - -The `messages` array consists of message objects, where each object has a `role` and `content`. - -| Parameter | Type | Required | Description | -| -------------- | --------------- | -------- | ------------------------------------------------------------------------------------------------------ | -| `role` | string | Yes | The role of the author of this message. Can be `developer`, `system`, `user`, `assistant`, or `tool`. | -| `content` | string or array | Yes | The contents of the message. This can be a string or an array of content parts (for multimodal input). | -| `name` | string | No | An optional name for the participant, providing differentiation for participants of the same role. | -| `tool_calls` | array | No | The tool calls generated by the model, if any. | -| `tool_call_id` | string | No | The ID of the tool call that this message is responding to. (Required if `role` is `tool`). | - -#### User Message Content Parts (Multimodal) - -When the `content` of a `user` message is an array, it can contain a mix of text and image parts. - -| Type | Description | -| ----------- | ----------------------------------------------------------------------------------------------------------------------- | -| `text` | A text part, containing the string of text. | -| `image_url` | An image part, containing a URL or base64-encoded image data and an optional `detail` level (`low`, `high`, or `auto`). | - -### The Tool Object - -The `tools` array allows you to define functions the model can call. - -| Parameter | Type | Required | Description | -| ---------- | ------ | -------- | ---------------------------------------------------------- | -| `type` | string | Yes | The type of tool. Currently, only `function` is supported. | -| `function` | object | Yes | An object defining the function. See below. | - -#### The Function Object - -| Parameter | Type | Required | Description | -| ------------- | ------ | -------- | ----------------------------------------------------------------------------------------------------------------------------- | -| `name` | string | Yes | The name of the function to be called. Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum length of 64. | -| `description` | string | No | A description of what the function does, used by the model to decide when to call it. | -| `parameters` | object | No | The parameters the function accepts, described as a JSON Schema object. | - ---- - -## Responses - -### Successful Response (200 OK) - -A successful non-streaming request returns a JSON object with the following structure. - -| Parameter | Type | Description | -| -------------------- | ------- | --------------------------------------------------------------------------------------- | -| `id` | string | A unique identifier for the chat completion. | -| `object` | string | The object type, which is always `chat.completion`. | -| `created` | integer | The Unix timestamp (in seconds) of when the completion was created. | -| `model` | string | The model used for the chat completion. | -| `choices` | array | A list of chat completion choices. See [The Choice Object](#the-choice-object). | -| `usage` | object | Usage statistics for the completion request. See [The Usage Object](#the-usage-object). | -| `system_fingerprint` | string | This fingerprint represents the backend configuration that the model runs with. | - -#### The Choice Object - -| Parameter | Type | Description | -| --------------- | ------- | ----------------------------------------------------------------------------------------------------------- | -| `index` | integer | The index of the choice in the list of choices. | -| `message` | object | A message object containing the generated response. See below. | -| `finish_reason` | string | The reason the model stopped generating tokens. Can be `stop`, `length`, `tool_calls`, or `content_filter`. | -| `logprobs` | object | Log probability information for the choice. Null if `logprobs` was not requested. | - -#### The Response Message Object - -| Parameter | Type | Description | -| ------------ | ------ | ------------------------------------------------------------------------------------------------------------------------------------------------------ | -| `role` | string | The role of the author, which will be `assistant`. | -| `content` | string | The text content of the message. Can be null if `tool_calls` are present. | -| `tool_calls` | array | The tool calls generated by the model, if any. Each object contains an `id`, `type` ('function'), and a `function` object with `name` and `arguments`. | - -#### The Usage Object - -| Parameter | Type | Description | -| ------------------- | ------- | --------------------------------------------- | -| `prompt_tokens` | integer | Number of tokens in the prompt. | -| `completion_tokens` | integer | Number of tokens in the generated completion. | -| `total_tokens` | integer | Total number of tokens used in the request. | - -### Streaming Response (200 OK) - -If `stream: true` is set, the API streams back a sequence of server-sent events. - -Each event is a JSON object representing a `chat.completion.chunk`. - -#### The Chat Completion Chunk Object - -| Parameter | Type | Description | -| --------- | ------- | ------------------------------------------------------------------------ | -| `id` | string | A unique identifier for the chat completion. Each chunk has the same ID. | -| `object` | string | The object type, which is always `chat.completion.chunk`. | -| `created` | integer | The Unix timestamp of when the completion was created. | -| `model` | string | The model used for the completion. | -| `choices` | array | A list of choices, where each choice contains a `delta` object. | - -#### The Delta Object - -The `delta` object contains the fields that have changed. It can include: - -- `role`: The role of the message author. -- `content`: A partial string of the message content. -- `tool_calls`: A partial list of tool calls, including the function `name` and partial `arguments`. - -The stream is terminated by a `data: [DONE]` message. - ---- - -# Models - -List and describe the various models available in the API. - -## List Models - -Lists the currently available models, and provides basic information about each one such as the owner and availability. - -**Endpoint:** `GET /models` - -### Response Body - -A successful request returns a list of model objects. - -| Parameter | Type | Description | -| --------- | ------ | ---------------------------------------- | -| `object` | string | The object type, which is always "list". | -| `data` | array | A list of model objects. | - -#### The Model Object - -| Parameter | Type | Description | -| ---------- | ------- | --------------------------------------------------------------- | -| `id` | string | The model identifier, which can be referenced in API endpoints. | -| `object` | string | The object type, which is always "model". | -| `created` | integer | The Unix timestamp (in seconds) when the model was created. | -| `owned_by` | string | The organization that owns the model. | - -## Retrieve a Model - -Retrieves a model instance, providing basic information about the model such as the owner and permissioning. - -**Endpoint:** `GET /models/{model}` - -### Path Parameters - -| Parameter | Type | Required | Description | -| --------- | ------ | -------- | -------------------------------------------- | -| `model` | string | Yes | The ID of the model to use for this request. | - -### Response Body - -A successful request returns a single [Model Object](#the-model-object). diff --git a/entrypoint.sh b/entrypoint.sh new file mode 100644 index 000000000..dfe63c902 --- /dev/null +++ b/entrypoint.sh @@ -0,0 +1,9 @@ +#!/bin/sh +if [ "$1" = "--auth" ]; then + # Run auth command + exec bun run dist/main.js auth +else + # Default command + exec bun run dist/main.js start -g "$GH_TOKEN" "$@" +fi + diff --git a/eslint.config.ts b/eslint.config.js similarity index 100% rename from eslint.config.ts rename to eslint.config.js diff --git a/opencode.json b/opencode.json new file mode 100644 index 000000000..b7590f5ff --- /dev/null +++ b/opencode.json @@ -0,0 +1,20 @@ +{ + "mcp": { + "playwright": { + "type": "local", + "command": [ + "docker", + "container", + "run", + "-i", + "--rm", + "--init", + "--network", + "host", + "mcr.microsoft.com/playwright/mcp" + ], + "enabled": true + } + }, + "$schema": "https://opencode.ai/config.json" +} \ No newline at end of file diff --git a/package.json b/package.json index be00ed936..a5adbb8e7 100644 --- a/package.json +++ b/package.json @@ -1,6 +1,6 @@ { "name": "copilot-api", - "version": "0.5.0", + "version": "0.7.0", "description": "Turn GitHub Copilot into OpenAI/Anthropic API compatible server. Usable with Claude Code!", "keywords": [ "proxy", @@ -22,42 +22,47 @@ "dist" ], "scripts": { - "build": "tsup", + "build": "tsdown", "dev": "bun run --watch ./src/main.ts", "knip": "knip-bun", - "lint": "eslint .", + "lint": "eslint --cache", + "lint:all": "eslint --cache .", "prepack": "bun run build", "prepare": "simple-git-hooks", "release": "bumpp && bun publish --access public", - "start": "NODE_ENV=production bun run ./src/main.ts" + "start": "NODE_ENV=production bun run ./src/main.ts", + "typecheck": "tsc" }, "simple-git-hooks": { "pre-commit": "bunx lint-staged" }, "lint-staged": { - "*": "bunx eslint --fix" + "*": "bun run lint --fix" }, "dependencies": { "citty": "^0.1.6", - "clipboardy": "^4.0.0", + "clipboardy": "^5.0.0", "consola": "^3.4.2", "fetch-event-stream": "^0.1.5", "gpt-tokenizer": "^3.0.1", - "hono": "^4.8.1", - "srvx": "^0.8.0", - "tiny-invariant": "^1.3.3" + "hono": "^4.9.9", + "proxy-from-env": "^1.1.0", + "srvx": "^0.8.9", + "tiny-invariant": "^1.3.3", + "undici": "^7.16.0", + "zod": "^4.1.11" }, "devDependencies": { - "@echristian/eslint-config": "^0.0.43", - "@types/bun": "^1.2.16", - "bumpp": "^10.2.0", - "eslint": "^9.29.0", - "jiti": "^2.4.2", - "knip": "^5.61.2", - "lint-staged": "^16.1.2", - "prettier-plugin-packagejson": "^2.5.15", - "simple-git-hooks": "^2.13.0", - "tsup": "^8.5.0", - "typescript": "^5.8.3" + "@echristian/eslint-config": "^0.0.54", + "@types/bun": "^1.2.23", + "@types/proxy-from-env": "^1.0.4", + "bumpp": "^10.2.3", + "eslint": "^9.37.0", + "knip": "^5.64.1", + "lint-staged": "^16.2.3", + "prettier-plugin-packagejson": "^2.5.19", + "simple-git-hooks": "^2.13.1", + "tsdown": "^0.15.6", + "typescript": "^5.9.3" } } diff --git a/pages/index.html b/pages/index.html new file mode 100644 index 000000000..57d16ef02 --- /dev/null +++ b/pages/index.html @@ -0,0 +1,556 @@ + + + + + + Copilot API Usage Dashboard + + + + + + + + + + + + +
+
+ +
+

+ + + + + + Copilot API Usage Dashboard +

+

+ Should be the same as the one in VSCode +

+
+ + +
+
+ + + +
+
+ + +
+
+
+ + + + + + diff --git a/src/auth.ts b/src/auth.ts index 85b5a1389..cb31ff6f8 100644 --- a/src/auth.ts +++ b/src/auth.ts @@ -4,10 +4,12 @@ import { defineCommand } from "citty" import consola from "consola" import { PATHS, ensurePaths } from "./lib/paths" +import { state } from "./lib/state" import { setupGitHubToken } from "./lib/token" interface RunAuthOptions { verbose: boolean + showToken: boolean } export async function runAuth(options: RunAuthOptions): Promise { @@ -16,6 +18,8 @@ export async function runAuth(options: RunAuthOptions): Promise { consola.info("Verbose logging enabled") } + state.showToken = options.showToken + await ensurePaths() await setupGitHubToken({ force: true }) consola.success("GitHub token written to", PATHS.GITHUB_TOKEN_PATH) @@ -33,10 +37,16 @@ export const auth = defineCommand({ default: false, description: "Enable verbose logging", }, + "show-token": { + type: "boolean", + default: false, + description: "Show GitHub token on auth", + }, }, run({ args }) { return runAuth({ verbose: args.verbose, + showToken: args["show-token"], }) }, }) diff --git a/src/check-usage.ts b/src/check-usage.ts new file mode 100644 index 000000000..1236ebc69 --- /dev/null +++ b/src/check-usage.ts @@ -0,0 +1,58 @@ +import { defineCommand } from "citty" +import consola from "consola" + +import { ensurePaths } from "./lib/paths" +import { setupGitHubToken } from "./lib/token" +import { + getCopilotUsage, + type QuotaDetail, +} from "./services/github/get-copilot-usage" + +export const checkUsage = defineCommand({ + meta: { + name: "check-usage", + description: "Show current GitHub Copilot usage/quota information", + }, + async run() { + await ensurePaths() + await setupGitHubToken() + try { + const usage = await getCopilotUsage() + const premium = usage.quota_snapshots.premium_interactions + const premiumTotal = premium.entitlement + const premiumUsed = premiumTotal - premium.remaining + const premiumPercentUsed = + premiumTotal > 0 ? (premiumUsed / premiumTotal) * 100 : 0 + const premiumPercentRemaining = premium.percent_remaining + + // Helper to summarize a quota snapshot + function summarizeQuota(name: string, snap: QuotaDetail | undefined) { + if (!snap) return `${name}: N/A` + const total = snap.entitlement + const used = total - snap.remaining + const percentUsed = total > 0 ? (used / total) * 100 : 0 + const percentRemaining = snap.percent_remaining + return `${name}: ${used}/${total} used (${percentUsed.toFixed(1)}% used, ${percentRemaining.toFixed(1)}% remaining)` + } + + const premiumLine = `Premium: ${premiumUsed}/${premiumTotal} used (${premiumPercentUsed.toFixed(1)}% used, ${premiumPercentRemaining.toFixed(1)}% remaining)` + const chatLine = summarizeQuota("Chat", usage.quota_snapshots.chat) + const completionsLine = summarizeQuota( + "Completions", + usage.quota_snapshots.completions, + ) + + consola.box( + `Copilot Usage (plan: ${usage.copilot_plan})\n` + + `Quota resets: ${usage.quota_reset_date}\n` + + `\nQuotas:\n` + + ` ${premiumLine}\n` + + ` ${chatLine}\n` + + ` ${completionsLine}`, + ) + } catch (err) { + consola.error("Failed to fetch Copilot usage:", err) + process.exit(1) + } + }, +}) diff --git a/src/debug.ts b/src/debug.ts new file mode 100644 index 000000000..b2aff8671 --- /dev/null +++ b/src/debug.ts @@ -0,0 +1,127 @@ +#!/usr/bin/env node + +import { defineCommand } from "citty" +import consola from "consola" +import fs from "node:fs/promises" +import os from "node:os" + +import { PATHS } from "./lib/paths" + +interface DebugInfo { + version: string + runtime: { + name: string + version: string + platform: string + arch: string + } + paths: { + APP_DIR: string + GITHUB_TOKEN_PATH: string + } + tokenExists: boolean +} + +interface RunDebugOptions { + json: boolean +} + +async function getPackageVersion(): Promise { + try { + const packageJsonPath = new URL("../package.json", import.meta.url).pathname + // @ts-expect-error https://github.com/sindresorhus/eslint-plugin-unicorn/blob/v59.0.1/docs/rules/prefer-json-parse-buffer.md + // JSON.parse() can actually parse buffers + const packageJson = JSON.parse(await fs.readFile(packageJsonPath)) as { + version: string + } + return packageJson.version + } catch { + return "unknown" + } +} + +function getRuntimeInfo() { + const isBun = typeof Bun !== "undefined" + + return { + name: isBun ? "bun" : "node", + version: isBun ? Bun.version : process.version.slice(1), + platform: os.platform(), + arch: os.arch(), + } +} + +async function checkTokenExists(): Promise { + try { + const stats = await fs.stat(PATHS.GITHUB_TOKEN_PATH) + if (!stats.isFile()) return false + + const content = await fs.readFile(PATHS.GITHUB_TOKEN_PATH, "utf8") + return content.trim().length > 0 + } catch { + return false + } +} + +async function getDebugInfo(): Promise { + const [version, tokenExists] = await Promise.all([ + getPackageVersion(), + checkTokenExists(), + ]) + + return { + version, + runtime: getRuntimeInfo(), + paths: { + APP_DIR: PATHS.APP_DIR, + GITHUB_TOKEN_PATH: PATHS.GITHUB_TOKEN_PATH, + }, + tokenExists, + } +} + +function printDebugInfoPlain(info: DebugInfo): void { + consola.info(`copilot-api debug + +Version: ${info.version} +Runtime: ${info.runtime.name} ${info.runtime.version} (${info.runtime.platform} ${info.runtime.arch}) + +Paths: +- APP_DIR: ${info.paths.APP_DIR} +- GITHUB_TOKEN_PATH: ${info.paths.GITHUB_TOKEN_PATH} + +Token exists: ${info.tokenExists ? "Yes" : "No"}`) +} + +function printDebugInfoJson(info: DebugInfo): void { + console.log(JSON.stringify(info, null, 2)) +} + +export async function runDebug(options: RunDebugOptions): Promise { + const debugInfo = await getDebugInfo() + + if (options.json) { + printDebugInfoJson(debugInfo) + } else { + printDebugInfoPlain(debugInfo) + } +} + +export const debug = defineCommand({ + meta: { + name: "debug", + description: "Print debug information about the application", + }, + args: { + json: { + type: "boolean", + default: false, + description: "Output debug information as JSON", + }, + }, + run({ args }) { + return runDebug({ + json: args.json, + }) + }, +}) diff --git a/src/lib/error.ts b/src/lib/error.ts index 7275598b5..c39c22596 100644 --- a/src/lib/error.ts +++ b/src/lib/error.ts @@ -16,8 +16,14 @@ export async function forwardError(c: Context, error: unknown) { consola.error("Error occurred:", error) if (error instanceof HTTPError) { - consola.error("HTTP error:", await error.response.json()) const errorText = await error.response.text() + let errorJson: unknown + try { + errorJson = JSON.parse(errorText) + } catch { + errorJson = errorText + } + consola.error("HTTP error:", errorJson) return c.json( { error: { diff --git a/src/lib/proxy.ts b/src/lib/proxy.ts new file mode 100644 index 000000000..22beb5819 --- /dev/null +++ b/src/lib/proxy.ts @@ -0,0 +1,66 @@ +import consola from "consola" +import { getProxyForUrl } from "proxy-from-env" +import { Agent, ProxyAgent, setGlobalDispatcher, type Dispatcher } from "undici" + +export function initProxyFromEnv(): void { + if (typeof Bun !== "undefined") return + + try { + const direct = new Agent() + const proxies = new Map() + + // We only need a minimal dispatcher that implements `dispatch` at runtime. + // Typing the object as `Dispatcher` forces TypeScript to require many + // additional methods. Instead, keep a plain object and cast when passing + // to `setGlobalDispatcher`. + const dispatcher = { + dispatch( + options: Dispatcher.DispatchOptions, + handler: Dispatcher.DispatchHandler, + ) { + try { + const origin = + typeof options.origin === "string" ? + new URL(options.origin) + : (options.origin as URL) + const get = getProxyForUrl as unknown as ( + u: string, + ) => string | undefined + const raw = get(origin.toString()) + const proxyUrl = raw && raw.length > 0 ? raw : undefined + if (!proxyUrl) { + consola.debug(`HTTP proxy bypass: ${origin.hostname}`) + return (direct as unknown as Dispatcher).dispatch(options, handler) + } + let agent = proxies.get(proxyUrl) + if (!agent) { + agent = new ProxyAgent(proxyUrl) + proxies.set(proxyUrl, agent) + } + let label = proxyUrl + try { + const u = new URL(proxyUrl) + label = `${u.protocol}//${u.host}` + } catch { + /* noop */ + } + consola.debug(`HTTP proxy route: ${origin.hostname} via ${label}`) + return (agent as unknown as Dispatcher).dispatch(options, handler) + } catch { + return (direct as unknown as Dispatcher).dispatch(options, handler) + } + }, + close() { + return direct.close() + }, + destroy() { + return direct.destroy() + }, + } + + setGlobalDispatcher(dispatcher as unknown as Dispatcher) + consola.debug("HTTP proxy configured from environment (per-URL)") + } catch (err) { + consola.debug("Proxy setup skipped:", err) + } +} diff --git a/src/lib/state.ts b/src/lib/state.ts index 78de99753..5ba4dc1d1 100644 --- a/src/lib/state.ts +++ b/src/lib/state.ts @@ -10,6 +10,7 @@ export interface State { manualApprove: boolean rateLimitWait: boolean + showToken: boolean // Rate limiting configuration rateLimitSeconds?: number @@ -20,4 +21,5 @@ export const state: State = { accountType: "individual", manualApprove: false, rateLimitWait: false, + showToken: false, } diff --git a/src/lib/token.ts b/src/lib/token.ts index f2cec3e0d..fc8d2785f 100644 --- a/src/lib/token.ts +++ b/src/lib/token.ts @@ -19,13 +19,22 @@ export const setupCopilotToken = async () => { const { token, refresh_in } = await getCopilotToken() state.copilotToken = token - const refreshInterval = (refresh_in - 60) * 1000 + // Display the Copilot token to the screen + consola.debug("GitHub Copilot Token fetched successfully!") + if (state.showToken) { + consola.info("Copilot token:", token) + } + const refreshInterval = (refresh_in - 60) * 1000 setInterval(async () => { - consola.start("Refreshing Copilot token") + consola.debug("Refreshing Copilot token") try { const { token } = await getCopilotToken() state.copilotToken = token + consola.debug("Copilot token refreshed") + if (state.showToken) { + consola.info("Refreshed Copilot token:", token) + } } catch (error) { consola.error("Failed to refresh Copilot token:", error) throw error @@ -45,6 +54,9 @@ export async function setupGitHubToken( if (githubToken && !options?.force) { state.githubToken = githubToken + if (state.showToken) { + consola.info("GitHub token:", githubToken) + } await logUser() return @@ -62,6 +74,9 @@ export async function setupGitHubToken( await writeGithubToken(token) state.githubToken = token + if (state.showToken) { + consola.info("GitHub token:", token) + } await logUser() } catch (error) { if (error instanceof HTTPError) { diff --git a/src/lib/tokenizer.ts b/src/lib/tokenizer.ts index 73cd499f9..8c3eda736 100644 --- a/src/lib/tokenizer.ts +++ b/src/lib/tokenizer.ts @@ -1,37 +1,345 @@ -import { countTokens } from "gpt-tokenizer/model/gpt-4o" +import type { + ChatCompletionsPayload, + ContentPart, + Message, + Tool, + ToolCall, +} from "~/services/copilot/create-chat-completions" +import type { Model } from "~/services/copilot/get-models" -import type { Message } from "~/services/copilot/create-chat-completions" +// Encoder type mapping +const ENCODING_MAP = { + o200k_base: () => import("gpt-tokenizer/encoding/o200k_base"), + cl100k_base: () => import("gpt-tokenizer/encoding/cl100k_base"), + p50k_base: () => import("gpt-tokenizer/encoding/p50k_base"), + p50k_edit: () => import("gpt-tokenizer/encoding/p50k_edit"), + r50k_base: () => import("gpt-tokenizer/encoding/r50k_base"), +} as const -export const getTokenCount = (messages: Array) => { - const simplifiedMessages = messages.map((message) => { - let content = "" - if (typeof message.content === "string") { - content = message.content - } else if (Array.isArray(message.content)) { - content = message.content - .filter((part) => part.type === "text") - .map((part) => (part as { text: string }).text) - .join("") +type SupportedEncoding = keyof typeof ENCODING_MAP + +// Define encoder interface +interface Encoder { + encode: (text: string) => Array +} + +// Cache loaded encoders to avoid repeated imports +const encodingCache = new Map() + +/** + * Calculate tokens for tool calls + */ +const calculateToolCallsTokens = ( + toolCalls: Array, + encoder: Encoder, + constants: ReturnType, +): number => { + let tokens = 0 + for (const toolCall of toolCalls) { + tokens += constants.funcInit + tokens += encoder.encode(JSON.stringify(toolCall)).length + } + tokens += constants.funcEnd + return tokens +} + +/** + * Calculate tokens for content parts + */ +const calculateContentPartsTokens = ( + contentParts: Array, + encoder: Encoder, +): number => { + let tokens = 0 + for (const part of contentParts) { + if (part.type === "image_url") { + tokens += encoder.encode(part.image_url.url).length + 85 + } else if (part.text) { + tokens += encoder.encode(part.text).length + } + } + return tokens +} + +/** + * Calculate tokens for a single message + */ +const calculateMessageTokens = ( + message: Message, + encoder: Encoder, + constants: ReturnType, +): number => { + const tokensPerMessage = 3 + const tokensPerName = 1 + let tokens = tokensPerMessage + for (const [key, value] of Object.entries(message)) { + if (typeof value === "string") { + tokens += encoder.encode(value).length + } + if (key === "name") { + tokens += tokensPerName + } + if (key === "tool_calls") { + tokens += calculateToolCallsTokens( + value as Array, + encoder, + constants, + ) + } + if (key === "content" && Array.isArray(value)) { + tokens += calculateContentPartsTokens( + value as Array, + encoder, + ) + } + } + return tokens +} + +/** + * Calculate tokens using custom algorithm + */ +const calculateTokens = ( + messages: Array, + encoder: Encoder, + constants: ReturnType, +): number => { + if (messages.length === 0) { + return 0 + } + let numTokens = 0 + for (const message of messages) { + numTokens += calculateMessageTokens(message, encoder, constants) + } + // every reply is primed with <|start|>assistant<|message|> + numTokens += 3 + return numTokens +} + +/** + * Get the corresponding encoder module based on encoding type + */ +const getEncodeChatFunction = async (encoding: string): Promise => { + if (encodingCache.has(encoding)) { + const cached = encodingCache.get(encoding) + if (cached) { + return cached } - return { ...message, content } - }) + } + + const supportedEncoding = encoding as SupportedEncoding + if (!(supportedEncoding in ENCODING_MAP)) { + const fallbackModule = (await ENCODING_MAP.o200k_base()) as Encoder + encodingCache.set(encoding, fallbackModule) + return fallbackModule + } + + const encodingModule = (await ENCODING_MAP[supportedEncoding]()) as Encoder + encodingCache.set(encoding, encodingModule) + return encodingModule +} + +/** + * Get tokenizer type from model information + */ +export const getTokenizerFromModel = (model: Model): string => { + return model.capabilities.tokenizer || "o200k_base" +} + +/** + * Get model-specific constants for token calculation + */ +const getModelConstants = (model: Model) => { + return model.id === "gpt-3.5-turbo" || model.id === "gpt-4" ? + { + funcInit: 10, + propInit: 3, + propKey: 3, + enumInit: -3, + enumItem: 3, + funcEnd: 12, + } + : { + funcInit: 7, + propInit: 3, + propKey: 3, + enumInit: -3, + enumItem: 3, + funcEnd: 12, + } +} - let inputMessages = simplifiedMessages.filter((message) => { - return message.role !== "tool" - }) - let outputMessages: typeof simplifiedMessages = [] +/** + * Calculate tokens for a single parameter + */ +const calculateParameterTokens = ( + key: string, + prop: unknown, + context: { + encoder: Encoder + constants: ReturnType + }, +): number => { + const { encoder, constants } = context + let tokens = constants.propKey - const lastMessage = simplifiedMessages.at(-1) + // Early return if prop is not an object + if (typeof prop !== "object" || prop === null) { + return tokens + } - if (lastMessage?.role === "assistant") { - inputMessages = simplifiedMessages.slice(0, -1) - outputMessages = [lastMessage] + // Type assertion for parameter properties + const param = prop as { + type?: string + description?: string + enum?: Array + [key: string]: unknown } - // @ts-expect-error TS can't infer from arr.filter() - const inputTokens = countTokens(inputMessages) - // @ts-expect-error TS can't infer from arr.filter() - const outputTokens = countTokens(outputMessages) + const paramName = key + const paramType = param.type || "string" + let paramDesc = param.description || "" + + // Handle enum values + if (param.enum && Array.isArray(param.enum)) { + tokens += constants.enumInit + for (const item of param.enum) { + tokens += constants.enumItem + tokens += encoder.encode(String(item)).length + } + } + + // Clean up description + if (paramDesc.endsWith(".")) { + paramDesc = paramDesc.slice(0, -1) + } + + // Encode the main parameter line + const line = `${paramName}:${paramType}:${paramDesc}` + tokens += encoder.encode(line).length + + // Handle additional properties (excluding standard ones) + const excludedKeys = new Set(["type", "description", "enum"]) + for (const propertyName of Object.keys(param)) { + if (!excludedKeys.has(propertyName)) { + const propertyValue = param[propertyName] + const propertyText = + typeof propertyValue === "string" ? propertyValue : ( + JSON.stringify(propertyValue) + ) + tokens += encoder.encode(`${propertyName}:${propertyText}`).length + } + } + + return tokens +} + +/** + * Calculate tokens for function parameters + */ +const calculateParametersTokens = ( + parameters: unknown, + encoder: Encoder, + constants: ReturnType, +): number => { + if (!parameters || typeof parameters !== "object") { + return 0 + } + + const params = parameters as Record + let tokens = 0 + + for (const [key, value] of Object.entries(params)) { + if (key === "properties") { + const properties = value as Record + if (Object.keys(properties).length > 0) { + tokens += constants.propInit + for (const propKey of Object.keys(properties)) { + tokens += calculateParameterTokens(propKey, properties[propKey], { + encoder, + constants, + }) + } + } + } else { + const paramText = + typeof value === "string" ? value : JSON.stringify(value) + tokens += encoder.encode(`${key}:${paramText}`).length + } + } + + return tokens +} + +/** + * Calculate tokens for a single tool + */ +const calculateToolTokens = ( + tool: Tool, + encoder: Encoder, + constants: ReturnType, +): number => { + let tokens = constants.funcInit + const func = tool.function + const fName = func.name + let fDesc = func.description || "" + if (fDesc.endsWith(".")) { + fDesc = fDesc.slice(0, -1) + } + const line = fName + ":" + fDesc + tokens += encoder.encode(line).length + if ( + typeof func.parameters === "object" // eslint-disable-next-line @typescript-eslint/no-unnecessary-condition + && func.parameters !== null + ) { + tokens += calculateParametersTokens(func.parameters, encoder, constants) + } + return tokens +} + +/** + * Calculate token count for tools based on model + */ +export const numTokensForTools = ( + tools: Array, + encoder: Encoder, + constants: ReturnType, +): number => { + let funcTokenCount = 0 + for (const tool of tools) { + funcTokenCount += calculateToolTokens(tool, encoder, constants) + } + funcTokenCount += constants.funcEnd + return funcTokenCount +} + +/** + * Calculate the token count of messages, supporting multiple GPT encoders + */ +export const getTokenCount = async ( + payload: ChatCompletionsPayload, + model: Model, +): Promise<{ input: number; output: number }> => { + // Get tokenizer string + const tokenizer = getTokenizerFromModel(model) + + // Get corresponding encoder module + const encoder = await getEncodeChatFunction(tokenizer) + + const simplifiedMessages = payload.messages + const inputMessages = simplifiedMessages.filter( + (msg) => msg.role !== "assistant", + ) + const outputMessages = simplifiedMessages.filter( + (msg) => msg.role === "assistant", + ) + + const constants = getModelConstants(model) + let inputTokens = calculateTokens(inputMessages, encoder, constants) + if (payload.tools && payload.tools.length > 0) { + inputTokens += numTokensForTools(payload.tools, encoder, constants) + } + const outputTokens = calculateTokens(outputMessages, encoder, constants) return { input: inputTokens, diff --git a/src/main.ts b/src/main.ts index 56e02261d..4f6ca784b 100644 --- a/src/main.ts +++ b/src/main.ts @@ -1,177 +1,11 @@ #!/usr/bin/env node import { defineCommand, runMain } from "citty" -import clipboard from "clipboardy" -import consola from "consola" -import { serve, type ServerHandler } from "srvx" -import invariant from "tiny-invariant" import { auth } from "./auth" -import { ensurePaths } from "./lib/paths" -import { generateEnvScript } from "./lib/shell" -import { state } from "./lib/state" -import { setupCopilotToken, setupGitHubToken } from "./lib/token" -import { cacheModels, cacheVSCodeVersion } from "./lib/utils" -import { server } from "./server" - -interface RunServerOptions { - port: number - verbose: boolean - accountType: string - manual: boolean - rateLimit?: number - rateLimitWait: boolean - githubToken?: string - launchClaudeCode: boolean -} - -// eslint-disable-next-line max-lines-per-function -export async function runServer(options: RunServerOptions): Promise { - if (options.verbose) { - consola.level = 5 - consola.info("Verbose logging enabled") - } - - state.accountType = options.accountType - if (options.accountType !== "individual") { - consola.info(`Using ${options.accountType} plan GitHub account`) - } - - state.manualApprove = options.manual - state.rateLimitSeconds = options.rateLimit - state.rateLimitWait = options.rateLimitWait - - await ensurePaths() - await cacheVSCodeVersion() - - if (options.githubToken) { - state.githubToken = options.githubToken - consola.info("Using provided GitHub token") - } else { - await setupGitHubToken() - } - - await setupCopilotToken() - await cacheModels() - - consola.info( - `Available models: \n${state.models?.data.map((model) => `- ${model.id}`).join("\n")}`, - ) - - const serverUrl = `http://localhost:${options.port}` - - if (options.launchClaudeCode) { - invariant(state.models, "Models should be loaded by now") - - const selectedModel = await consola.prompt( - "Select a model to use with Claude Code", - { - type: "select", - options: state.models.data.map((model) => model.id), - }, - ) - - const selectedSmallModel = await consola.prompt( - "Select a small model to use with Claude Code", - { - type: "select", - options: state.models.data.map((model) => model.id), - }, - ) - - const command = generateEnvScript( - { - ANTHROPIC_BASE_URL: serverUrl, - ANTHROPIC_AUTH_TOKEN: "dummy", - ANTHROPIC_MODEL: selectedModel, - ANTHROPIC_SMALL_FAST_MODEL: selectedSmallModel, - }, - "claude", - ) - - clipboard.writeSync(command) - consola.success("Copied Claude Code command to clipboard!") - } - - serve({ - fetch: server.fetch as ServerHandler, - port: options.port, - }) -} - -const start = defineCommand({ - meta: { - name: "start", - description: "Start the Copilot API server", - }, - args: { - port: { - alias: "p", - type: "string", - default: "4141", - description: "Port to listen on", - }, - verbose: { - alias: "v", - type: "boolean", - default: false, - description: "Enable verbose logging", - }, - "account-type": { - alias: "a", - type: "string", - default: "individual", - description: "Account type to use (individual, business, enterprise)", - }, - manual: { - type: "boolean", - default: false, - description: "Enable manual request approval", - }, - "rate-limit": { - alias: "r", - type: "string", - description: "Rate limit in seconds between requests", - }, - wait: { - alias: "w", - type: "boolean", - default: false, - description: - "Wait instead of error when rate limit is hit. Has no effect if rate limit is not set", - }, - "github-token": { - alias: "g", - type: "string", - description: - "Provide GitHub token directly (must be generated using the `auth` subcommand)", - }, - "claude-code": { - alias: "c", - type: "boolean", - default: false, - description: - "Generate a command to launch Claude Code with Copilot API config", - }, - }, - run({ args }) { - const rateLimitRaw = args["rate-limit"] - const rateLimit = - // eslint-disable-next-line @typescript-eslint/no-unnecessary-condition - rateLimitRaw === undefined ? undefined : Number.parseInt(rateLimitRaw, 10) - - return runServer({ - port: Number.parseInt(args.port, 10), - verbose: args.verbose, - accountType: args["account-type"], - manual: args.manual, - rateLimit, - rateLimitWait: Boolean(args.wait), - githubToken: args["github-token"], - launchClaudeCode: args["claude-code"], - }) - }, -}) +import { checkUsage } from "./check-usage" +import { debug } from "./debug" +import { start } from "./start" const main = defineCommand({ meta: { @@ -179,7 +13,7 @@ const main = defineCommand({ description: "A wrapper around GitHub Copilot API to make it OpenAI compatible, making it usable for other tools.", }, - subCommands: { auth, start }, + subCommands: { auth, start, "check-usage": checkUsage, debug }, }) await runMain(main) diff --git a/src/routes/chat-completions/handler.ts b/src/routes/chat-completions/handler.ts index 6e49029b8..04a5ae9ed 100644 --- a/src/routes/chat-completions/handler.ts +++ b/src/routes/chat-completions/handler.ts @@ -20,15 +20,26 @@ export async function handleCompletion(c: Context) { let payload = await c.req.json() consola.debug("Request payload:", JSON.stringify(payload).slice(-400)) - consola.info("Current token count:", getTokenCount(payload.messages)) + // Find the selected model + const selectedModel = state.models?.data.find( + (model) => model.id === payload.model, + ) + + // Calculate and display token count + try { + if (selectedModel) { + const tokenCount = await getTokenCount(payload, selectedModel) + consola.info("Current token count:", tokenCount) + } else { + consola.warn("No model selected, skipping token count calculation") + } + } catch (error) { + consola.warn("Failed to calculate token count:", error) + } if (state.manualApprove) await awaitApproval() if (isNullish(payload.max_tokens)) { - const selectedModel = state.models?.data.find( - (model) => model.id === payload.model, - ) - payload = { ...payload, max_tokens: selectedModel?.capabilities.limits.max_output_tokens, diff --git a/src/routes/messages/anthropic-types.ts b/src/routes/messages/anthropic-types.ts index 31c6e86e2..881fffcc8 100644 --- a/src/routes/messages/anthropic-types.ts +++ b/src/routes/messages/anthropic-types.ts @@ -157,7 +157,12 @@ export interface AnthropicMessageDeltaEvent { stop_reason?: AnthropicResponse["stop_reason"] stop_sequence?: string | null } - usage?: { output_tokens: number } + usage?: { + input_tokens?: number + output_tokens: number + cache_creation_input_tokens?: number + cache_read_input_tokens?: number + } } export interface AnthropicMessageStopEvent { diff --git a/src/routes/messages/count-tokens-handler.ts b/src/routes/messages/count-tokens-handler.ts new file mode 100644 index 000000000..2ec849cb8 --- /dev/null +++ b/src/routes/messages/count-tokens-handler.ts @@ -0,0 +1,70 @@ +import type { Context } from "hono" + +import consola from "consola" + +import { state } from "~/lib/state" +import { getTokenCount } from "~/lib/tokenizer" + +import { type AnthropicMessagesPayload } from "./anthropic-types" +import { translateToOpenAI } from "./non-stream-translation" + +/** + * Handles token counting for Anthropic messages + */ +export async function handleCountTokens(c: Context) { + try { + const anthropicBeta = c.req.header("anthropic-beta") + + const anthropicPayload = await c.req.json() + + const openAIPayload = translateToOpenAI(anthropicPayload) + + const selectedModel = state.models?.data.find( + (model) => model.id === anthropicPayload.model, + ) + + if (!selectedModel) { + consola.warn("Model not found, returning default token count") + return c.json({ + input_tokens: 1, + }) + } + + const tokenCount = await getTokenCount(openAIPayload, selectedModel) + + if (anthropicPayload.tools && anthropicPayload.tools.length > 0) { + let mcpToolExist = false + if (anthropicBeta?.startsWith("claude-code")) { + mcpToolExist = anthropicPayload.tools.some((tool) => + tool.name.startsWith("mcp__"), + ) + } + if (!mcpToolExist) { + if (anthropicPayload.model.startsWith("claude")) { + // https://docs.anthropic.com/en/docs/agents-and-tools/tool-use/overview#pricing + tokenCount.input = tokenCount.input + 346 + } else if (anthropicPayload.model.startsWith("grok")) { + tokenCount.input = tokenCount.input + 480 + } + } + } + + let finalTokenCount = tokenCount.input + tokenCount.output + if (anthropicPayload.model.startsWith("claude")) { + finalTokenCount = Math.round(finalTokenCount * 1.15) + } else if (anthropicPayload.model.startsWith("grok")) { + finalTokenCount = Math.round(finalTokenCount * 1.03) + } + + consola.info("Token count:", finalTokenCount) + + return c.json({ + input_tokens: finalTokenCount, + }) + } catch (error) { + consola.error("Error counting tokens:", error) + return c.json({ + input_tokens: 1, + }) + } +} diff --git a/src/routes/messages/handler.ts b/src/routes/messages/handler.ts index 2f99bf0ea..85dbf6243 100644 --- a/src/routes/messages/handler.ts +++ b/src/routes/messages/handler.ts @@ -22,7 +22,6 @@ import { } from "./non-stream-translation" import { translateChunkToAnthropicEvents } from "./stream-translation" -// eslint-disable-next-line max-lines-per-function export async function handleCompletion(c: Context) { await checkRateLimit(state) diff --git a/src/routes/messages/non-stream-translation.ts b/src/routes/messages/non-stream-translation.ts index 021f28345..dc41e6382 100644 --- a/src/routes/messages/non-stream-translation.ts +++ b/src/routes/messages/non-stream-translation.ts @@ -15,6 +15,7 @@ import { type AnthropicMessagesPayload, type AnthropicResponse, type AnthropicTextBlock, + type AnthropicThinkingBlock, type AnthropicTool, type AnthropicToolResultBlock, type AnthropicToolUseBlock, @@ -29,7 +30,7 @@ export function translateToOpenAI( payload: AnthropicMessagesPayload, ): ChatCompletionsPayload { return { - model: payload.model, + model: translateModelName(payload.model), messages: translateAnthropicMessagesToOpenAI( payload.messages, payload.system, @@ -45,6 +46,16 @@ export function translateToOpenAI( } } +function translateModelName(model: string): string { + // Subagent requests use a specific model number which Copilot doesn't support + if (model.startsWith("claude-sonnet-4-")) { + return model.replace(/^claude-sonnet-4-.*/, "claude-sonnet-4") + } else if (model.startsWith("claude-opus-")) { + return model.replace(/^claude-opus-4-.*/, "claude-opus-4") + } + return model +} + function translateAnthropicMessagesToOpenAI( anthropicMessages: Array, system: string | Array | undefined, @@ -87,18 +98,19 @@ function handleUserMessage(message: AnthropicUserMessage): Array { (block) => block.type !== "tool_result", ) - if (otherBlocks.length > 0) { + // Tool results must come first to maintain protocol: tool_use -> tool_result -> user + for (const block of toolResultBlocks) { newMessages.push({ - role: "user", - content: mapContent(otherBlocks), + role: "tool", + tool_call_id: block.tool_use_id, + content: mapContent(block.content), }) } - for (const block of toolResultBlocks) { + if (otherBlocks.length > 0) { newMessages.push({ - role: "tool", - tool_call_id: block.tool_use_id, - content: block.content, + role: "user", + content: mapContent(otherBlocks), }) } } else { @@ -131,11 +143,21 @@ function handleAssistantMessage( (block): block is AnthropicTextBlock => block.type === "text", ) + const thinkingBlocks = message.content.filter( + (block): block is AnthropicThinkingBlock => block.type === "thinking", + ) + + // Combine text and thinking blocks, as OpenAI doesn't have separate thinking blocks + const allTextContent = [ + ...textBlocks.map((b) => b.text), + ...thinkingBlocks.map((b) => b.thinking), + ].join("\n\n") + return toolUseBlocks.length > 0 ? [ { role: "assistant", - content: textBlocks.map((b) => b.text).join("\n\n") || null, + content: allTextContent || null, tool_calls: toolUseBlocks.map((toolUse) => ({ id: toolUse.id, type: "function", @@ -169,22 +191,38 @@ function mapContent( const hasImage = content.some((block) => block.type === "image") if (!hasImage) { return content - .filter((block): block is AnthropicTextBlock => block.type === "text") - .map((block) => block.text) + .filter( + (block): block is AnthropicTextBlock | AnthropicThinkingBlock => + block.type === "text" || block.type === "thinking", + ) + .map((block) => (block.type === "text" ? block.text : block.thinking)) .join("\n\n") } const contentParts: Array = [] for (const block of content) { - if (block.type === "text") { - contentParts.push({ type: "text", text: block.text }) - } else if (block.type === "image") { - contentParts.push({ - type: "image_url", - image_url: { - url: `data:${block.source.media_type};base64,${block.source.data}`, - }, - }) + switch (block.type) { + case "text": { + contentParts.push({ type: "text", text: block.text }) + + break + } + case "thinking": { + contentParts.push({ type: "text", text: block.thinking }) + + break + } + case "image": { + contentParts.push({ + type: "image_url", + image_url: { + url: `data:${block.source.media_type};base64,${block.source.data}`, + }, + }) + + break + } + // No default } } return contentParts @@ -243,21 +281,47 @@ function translateAnthropicToolChoiceToOpenAI( export function translateToAnthropic( response: ChatCompletionResponse, ): AnthropicResponse { - const choice = response.choices[0] - const textBlocks = getAnthropicTextBlocks(choice.message.content) - const toolUseBlocks = getAnthropicToolUseBlocks(choice.message.tool_calls) + // Merge content from all choices + const allTextBlocks: Array = [] + const allToolUseBlocks: Array = [] + let stopReason: "stop" | "length" | "tool_calls" | "content_filter" | null = + null // default + stopReason = response.choices[0]?.finish_reason ?? stopReason + + // Process all choices to extract text and tool use blocks + for (const choice of response.choices) { + const textBlocks = getAnthropicTextBlocks(choice.message.content) + const toolUseBlocks = getAnthropicToolUseBlocks(choice.message.tool_calls) + + allTextBlocks.push(...textBlocks) + allToolUseBlocks.push(...toolUseBlocks) + + // Use the finish_reason from the first choice, or prioritize tool_calls + if (choice.finish_reason === "tool_calls" || stopReason === "stop") { + stopReason = choice.finish_reason + } + } + + // Note: GitHub Copilot doesn't generate thinking blocks, so we don't include them in responses return { id: response.id, type: "message", role: "assistant", model: response.model, - content: [...textBlocks, ...toolUseBlocks], - stop_reason: mapOpenAIStopReasonToAnthropic(choice.finish_reason), + content: [...allTextBlocks, ...allToolUseBlocks], + stop_reason: mapOpenAIStopReasonToAnthropic(stopReason), stop_sequence: null, usage: { - input_tokens: response.usage?.prompt_tokens ?? 0, + input_tokens: + (response.usage?.prompt_tokens ?? 0) + - (response.usage?.prompt_tokens_details?.cached_tokens ?? 0), output_tokens: response.usage?.completion_tokens ?? 0, + ...(response.usage?.prompt_tokens_details?.cached_tokens + !== undefined && { + cache_read_input_tokens: + response.usage.prompt_tokens_details.cached_tokens, + }), }, } } diff --git a/src/routes/messages/route.ts b/src/routes/messages/route.ts index 1f4eee2f9..ef72d802e 100644 --- a/src/routes/messages/route.ts +++ b/src/routes/messages/route.ts @@ -2,6 +2,7 @@ import { Hono } from "hono" import { forwardError } from "~/lib/error" +import { handleCountTokens } from "./count-tokens-handler" import { handleCompletion } from "./handler" export const messageRoutes = new Hono() @@ -13,3 +14,11 @@ messageRoutes.post("/", async (c) => { return await forwardError(c, error) } }) + +messageRoutes.post("/count_tokens", async (c) => { + try { + return await handleCountTokens(c) + } catch (error) { + return await forwardError(c, error) + } +}) diff --git a/src/routes/messages/stream-translation.ts b/src/routes/messages/stream-translation.ts index 536893617..55094448f 100644 --- a/src/routes/messages/stream-translation.ts +++ b/src/routes/messages/stream-translation.ts @@ -23,8 +23,6 @@ export function translateChunkToAnthropicEvents( ): Array { const events: Array = [] - // @ts-expect-error sometimes chunk.choices is empty, and idk why - // eslint-disable-next-line @typescript-eslint/no-unnecessary-condition if (chunk.choices.length === 0) { return events } @@ -44,8 +42,15 @@ export function translateChunkToAnthropicEvents( stop_reason: null, stop_sequence: null, usage: { - input_tokens: 1, - output_tokens: 1, // Anthropic requires this to be > 0 + input_tokens: + (chunk.usage?.prompt_tokens ?? 0) + - (chunk.usage?.prompt_tokens_details?.cached_tokens ?? 0), + output_tokens: 0, // Will be updated in message_delta when finished + ...(chunk.usage?.prompt_tokens_details?.cached_tokens + !== undefined && { + cache_read_input_tokens: + chunk.usage.prompt_tokens_details.cached_tokens, + }), }, }, }) @@ -146,20 +151,29 @@ export function translateChunkToAnthropicEvents( state.contentBlockOpen = false } - events.push({ - type: "message_delta", - delta: { - stop_reason: mapOpenAIStopReasonToAnthropic(choice.finish_reason), - stop_sequence: null, + events.push( + { + type: "message_delta", + delta: { + stop_reason: mapOpenAIStopReasonToAnthropic(choice.finish_reason), + stop_sequence: null, + }, + usage: { + input_tokens: + (chunk.usage?.prompt_tokens ?? 0) + - (chunk.usage?.prompt_tokens_details?.cached_tokens ?? 0), + output_tokens: chunk.usage?.completion_tokens ?? 0, + ...(chunk.usage?.prompt_tokens_details?.cached_tokens + !== undefined && { + cache_read_input_tokens: + chunk.usage.prompt_tokens_details.cached_tokens, + }), + }, }, - usage: { - output_tokens: 1, + { + type: "message_stop", }, - }) - - events.push({ - type: "message_stop", - }) + ) } return events diff --git a/src/routes/token/route.ts b/src/routes/token/route.ts new file mode 100644 index 000000000..dd0456d9a --- /dev/null +++ b/src/routes/token/route.ts @@ -0,0 +1,16 @@ +import { Hono } from "hono" + +import { state } from "~/lib/state" + +export const tokenRoute = new Hono() + +tokenRoute.get("/", (c) => { + try { + return c.json({ + token: state.copilotToken, + }) + } catch (error) { + console.error("Error fetching token:", error) + return c.json({ error: "Failed to fetch token", token: null }, 500) + } +}) diff --git a/src/routes/usage/route.ts b/src/routes/usage/route.ts new file mode 100644 index 000000000..3e9473236 --- /dev/null +++ b/src/routes/usage/route.ts @@ -0,0 +1,15 @@ +import { Hono } from "hono" + +import { getCopilotUsage } from "~/services/github/get-copilot-usage" + +export const usageRoute = new Hono() + +usageRoute.get("/", async (c) => { + try { + const usage = await getCopilotUsage() + return c.json(usage) + } catch (error) { + console.error("Error fetching Copilot usage:", error) + return c.json({ error: "Failed to fetch Copilot usage" }, 500) + } +}) diff --git a/src/server.ts b/src/server.ts index f72d61b96..462a278f3 100644 --- a/src/server.ts +++ b/src/server.ts @@ -6,6 +6,8 @@ import { completionRoutes } from "./routes/chat-completions/route" import { embeddingRoutes } from "./routes/embeddings/route" import { messageRoutes } from "./routes/messages/route" import { modelRoutes } from "./routes/models/route" +import { tokenRoute } from "./routes/token/route" +import { usageRoute } from "./routes/usage/route" export const server = new Hono() @@ -17,6 +19,8 @@ server.get("/", (c) => c.text("Server running")) server.route("/chat/completions", completionRoutes) server.route("/models", modelRoutes) server.route("/embeddings", embeddingRoutes) +server.route("/usage", usageRoute) +server.route("/token", tokenRoute) // Compatibility with tools that expect v1/ prefix server.route("/v1/chat/completions", completionRoutes) @@ -25,4 +29,3 @@ server.route("/v1/embeddings", embeddingRoutes) // Anthropic compatible endpoints server.route("/v1/messages", messageRoutes) -server.post("/v1/messages/count_tokens", (c) => c.json({ input_tokens: 1 })) diff --git a/src/services/copilot/create-chat-completions.ts b/src/services/copilot/create-chat-completions.ts index 51db204ff..8534151da 100644 --- a/src/services/copilot/create-chat-completions.ts +++ b/src/services/copilot/create-chat-completions.ts @@ -16,9 +16,21 @@ export const createChatCompletions = async ( && x.content?.some((x) => x.type === "image_url"), ) + // Agent/user check for X-Initiator header + // Determine if any message is from an agent ("assistant" or "tool") + const isAgentCall = payload.messages.some((msg) => + ["assistant", "tool"].includes(msg.role), + ) + + // Build headers and add X-Initiator + const headers: Record = { + ...copilotHeaders(state, enableVision), + "X-Initiator": isAgentCall ? "agent" : "user", + } + const response = await fetch(`${copilotBaseUrl(state)}/chat/completions`, { method: "POST", - headers: copilotHeaders(state, enableVision), + headers, body: JSON.stringify(payload), }) @@ -43,6 +55,18 @@ export interface ChatCompletionChunk { model: string choices: Array system_fingerprint?: string + usage?: { + prompt_tokens: number + completion_tokens: number + total_tokens: number + prompt_tokens_details?: { + cached_tokens: number + } + completion_tokens_details?: { + accepted_prediction_tokens: number + rejected_prediction_tokens: number + } + } } interface Delta { @@ -79,6 +103,9 @@ export interface ChatCompletionResponse { prompt_tokens: number completion_tokens: number total_tokens: number + prompt_tokens_details?: { + cached_tokens: number + } } } diff --git a/src/services/copilot/get-models.ts b/src/services/copilot/get-models.ts index 792adc480..3cfa30af0 100644 --- a/src/services/copilot/get-models.ts +++ b/src/services/copilot/get-models.ts @@ -39,7 +39,7 @@ interface ModelCapabilities { type: string } -interface Model { +export interface Model { capabilities: ModelCapabilities id: string model_picker_enabled: boolean diff --git a/src/services/get-vscode-version.ts b/src/services/get-vscode-version.ts index 9868cde2a..6078f09b5 100644 --- a/src/services/get-vscode-version.ts +++ b/src/services/get-vscode-version.ts @@ -1,4 +1,4 @@ -const FALLBACK = "1.98.1" +const FALLBACK = "1.104.3" export async function getVSCodeVersion() { const controller = new AbortController() @@ -9,7 +9,9 @@ export async function getVSCodeVersion() { try { const response = await fetch( "https://aur.archlinux.org/cgit/aur.git/plain/PKGBUILD?h=visual-studio-code-bin", - { signal: controller.signal }, + { + signal: controller.signal, + }, ) const pkgbuild = await response.text() diff --git a/src/services/github/get-copilot-usage.ts b/src/services/github/get-copilot-usage.ts new file mode 100644 index 000000000..6cdd8bc10 --- /dev/null +++ b/src/services/github/get-copilot-usage.ts @@ -0,0 +1,45 @@ +import { GITHUB_API_BASE_URL, githubHeaders } from "~/lib/api-config" +import { HTTPError } from "~/lib/error" +import { state } from "~/lib/state" + +export const getCopilotUsage = async (): Promise => { + const response = await fetch(`${GITHUB_API_BASE_URL}/copilot_internal/user`, { + headers: githubHeaders(state), + }) + + if (!response.ok) { + throw new HTTPError("Failed to get Copilot usage", response) + } + + return (await response.json()) as CopilotUsageResponse +} + +export interface QuotaDetail { + entitlement: number + overage_count: number + overage_permitted: boolean + percent_remaining: number + quota_id: string + quota_remaining: number + remaining: number + unlimited: boolean +} + +interface QuotaSnapshots { + chat: QuotaDetail + completions: QuotaDetail + premium_interactions: QuotaDetail +} + +interface CopilotUsageResponse { + access_type_sku: string + analytics_tracking_id: string + assigned_date: string + can_signup_for_limited: boolean + chat_enabled: boolean + copilot_plan: string + organization_login_list: Array + organization_list: Array + quota_reset_date: string + quota_snapshots: QuotaSnapshots +} diff --git a/src/start.ts b/src/start.ts new file mode 100644 index 000000000..14abbbdff --- /dev/null +++ b/src/start.ts @@ -0,0 +1,207 @@ +#!/usr/bin/env node + +import { defineCommand } from "citty" +import clipboard from "clipboardy" +import consola from "consola" +import { serve, type ServerHandler } from "srvx" +import invariant from "tiny-invariant" + +import { ensurePaths } from "./lib/paths" +import { initProxyFromEnv } from "./lib/proxy" +import { generateEnvScript } from "./lib/shell" +import { state } from "./lib/state" +import { setupCopilotToken, setupGitHubToken } from "./lib/token" +import { cacheModels, cacheVSCodeVersion } from "./lib/utils" +import { server } from "./server" + +interface RunServerOptions { + port: number + verbose: boolean + accountType: string + manual: boolean + rateLimit?: number + rateLimitWait: boolean + githubToken?: string + claudeCode: boolean + showToken: boolean + proxyEnv: boolean +} + +export async function runServer(options: RunServerOptions): Promise { + if (options.proxyEnv) { + initProxyFromEnv() + } + + if (options.verbose) { + consola.level = 5 + consola.info("Verbose logging enabled") + } + + state.accountType = options.accountType + if (options.accountType !== "individual") { + consola.info(`Using ${options.accountType} plan GitHub account`) + } + + state.manualApprove = options.manual + state.rateLimitSeconds = options.rateLimit + state.rateLimitWait = options.rateLimitWait + state.showToken = options.showToken + + await ensurePaths() + await cacheVSCodeVersion() + + if (options.githubToken) { + state.githubToken = options.githubToken + consola.info("Using provided GitHub token") + } else { + await setupGitHubToken() + } + + await setupCopilotToken() + await cacheModels() + + consola.info( + `Available models: \n${state.models?.data.map((model) => `- ${model.id}`).join("\n")}`, + ) + + const serverUrl = `http://localhost:${options.port}` + + if (options.claudeCode) { + invariant(state.models, "Models should be loaded by now") + + const selectedModel = await consola.prompt( + "Select a model to use with Claude Code", + { + type: "select", + options: state.models.data.map((model) => model.id), + }, + ) + + const selectedSmallModel = await consola.prompt( + "Select a small model to use with Claude Code", + { + type: "select", + options: state.models.data.map((model) => model.id), + }, + ) + + const command = generateEnvScript( + { + ANTHROPIC_BASE_URL: serverUrl, + ANTHROPIC_AUTH_TOKEN: "dummy", + ANTHROPIC_MODEL: selectedModel, + ANTHROPIC_DEFAULT_SONNET_MODEL: selectedModel, + ANTHROPIC_SMALL_FAST_MODEL: selectedSmallModel, + ANTHROPIC_DEFAULT_HAIKU_MODEL: selectedSmallModel, + DISABLE_NON_ESSENTIAL_MODEL_CALLS: "1", + CLAUDE_CODE_DISABLE_NONESSENTIAL_TRAFFIC: "1", + }, + "claude", + ) + + try { + clipboard.writeSync(command) + consola.success("Copied Claude Code command to clipboard!") + } catch { + consola.warn( + "Failed to copy to clipboard. Here is the Claude Code command:", + ) + consola.log(command) + } + } + + consola.box( + `🌐 Usage Viewer: https://ericc-ch.github.io/copilot-api?endpoint=${serverUrl}/usage`, + ) + + serve({ + fetch: server.fetch as ServerHandler, + port: options.port, + }) +} + +export const start = defineCommand({ + meta: { + name: "start", + description: "Start the Copilot API server", + }, + args: { + port: { + alias: "p", + type: "string", + default: "4141", + description: "Port to listen on", + }, + verbose: { + alias: "v", + type: "boolean", + default: false, + description: "Enable verbose logging", + }, + "account-type": { + alias: "a", + type: "string", + default: "individual", + description: "Account type to use (individual, business, enterprise)", + }, + manual: { + type: "boolean", + default: false, + description: "Enable manual request approval", + }, + "rate-limit": { + alias: "r", + type: "string", + description: "Rate limit in seconds between requests", + }, + wait: { + alias: "w", + type: "boolean", + default: false, + description: + "Wait instead of error when rate limit is hit. Has no effect if rate limit is not set", + }, + "github-token": { + alias: "g", + type: "string", + description: + "Provide GitHub token directly (must be generated using the `auth` subcommand)", + }, + "claude-code": { + alias: "c", + type: "boolean", + default: false, + description: + "Generate a command to launch Claude Code with Copilot API config", + }, + "show-token": { + type: "boolean", + default: false, + description: "Show GitHub and Copilot tokens on fetch and refresh", + }, + "proxy-env": { + type: "boolean", + default: false, + description: "Initialize proxy from environment variables", + }, + }, + run({ args }) { + const rateLimitRaw = args["rate-limit"] + const rateLimit = + // eslint-disable-next-line @typescript-eslint/no-unnecessary-condition + rateLimitRaw === undefined ? undefined : Number.parseInt(rateLimitRaw, 10) + + return runServer({ + port: Number.parseInt(args.port, 10), + verbose: args.verbose, + accountType: args["account-type"], + manual: args.manual, + rateLimit, + rateLimitWait: args.wait, + githubToken: args["github-token"], + claudeCode: args["claude-code"], + showToken: args["show-token"], + proxyEnv: args["proxy-env"], + }) + }, +}) diff --git a/start.bat b/start.bat new file mode 100644 index 000000000..1a0f8cb83 --- /dev/null +++ b/start.bat @@ -0,0 +1,20 @@ +@echo off +echo ================================================ +echo GitHub Copilot API Server with Usage Viewer +echo ================================================ +echo. + +if not exist node_modules ( + echo Installing dependencies... + bun install + echo. +) + +echo Starting server... +echo The usage viewer page will open automatically after the server starts +echo. + +start "" "https://ericc-ch.github.io/copilot-api?endpoint=http://localhost:4141/usage" +bun run dev + +pause diff --git a/tests/anthropic-request.test.ts b/tests/anthropic-request.test.ts new file mode 100644 index 000000000..06c663778 --- /dev/null +++ b/tests/anthropic-request.test.ts @@ -0,0 +1,313 @@ +import { describe, test, expect } from "bun:test" +import { z } from "zod" + +import type { AnthropicMessagesPayload } from "~/routes/messages/anthropic-types" + +import { translateToOpenAI } from "../src/routes/messages/non-stream-translation" + +// Zod schema for a single message in the chat completion request. +const messageSchema = z.object({ + role: z.enum([ + "system", + "user", + "assistant", + "tool", + "function", + "developer", + ]), + content: z.union([z.string(), z.object({}), z.array(z.any())]), + name: z.string().optional(), + tool_calls: z.array(z.any()).optional(), + tool_call_id: z.string().optional(), +}) + +// Zod schema for the entire chat completion request payload. +// This is derived from the openapi.documented.yml specification. +const chatCompletionRequestSchema = z.object({ + messages: z.array(messageSchema).min(1, "Messages array cannot be empty."), + model: z.string(), + frequency_penalty: z.number().min(-2).max(2).optional().nullable(), + logit_bias: z.record(z.string(), z.number()).optional().nullable(), + logprobs: z.boolean().optional().nullable(), + top_logprobs: z.number().int().min(0).max(20).optional().nullable(), + max_tokens: z.number().int().optional().nullable(), + n: z.number().int().min(1).max(128).optional().nullable(), + presence_penalty: z.number().min(-2).max(2).optional().nullable(), + response_format: z + .object({ + type: z.enum(["text", "json_object", "json_schema"]), + json_schema: z.object({}).optional(), + }) + .optional(), + seed: z.number().int().optional().nullable(), + stop: z + .union([z.string(), z.array(z.string())]) + .optional() + .nullable(), + stream: z.boolean().optional().nullable(), + temperature: z.number().min(0).max(2).optional().nullable(), + top_p: z.number().min(0).max(1).optional().nullable(), + tools: z.array(z.any()).optional(), + tool_choice: z.union([z.string(), z.object({})]).optional(), + user: z.string().optional(), +}) + +/** + * Validates if a request payload conforms to the OpenAI Chat Completion v1 shape using Zod. + * @param payload The request payload to validate. + * @returns True if the payload is valid, false otherwise. + */ +function isValidChatCompletionRequest(payload: unknown): boolean { + const result = chatCompletionRequestSchema.safeParse(payload) + return result.success +} + +describe("Anthropic to OpenAI translation logic", () => { + test("should translate minimal Anthropic payload to valid OpenAI payload", () => { + const anthropicPayload: AnthropicMessagesPayload = { + model: "gpt-4o", + messages: [{ role: "user", content: "Hello!" }], + max_tokens: 0, + } + + const openAIPayload = translateToOpenAI(anthropicPayload) + expect(isValidChatCompletionRequest(openAIPayload)).toBe(true) + }) + + test("should translate comprehensive Anthropic payload to valid OpenAI payload", () => { + const anthropicPayload: AnthropicMessagesPayload = { + model: "gpt-4o", + system: "You are a helpful assistant.", + messages: [ + { role: "user", content: "What is the weather like in Boston?" }, + { + role: "assistant", + content: "The weather in Boston is sunny and 75°F.", + }, + ], + temperature: 0.7, + max_tokens: 150, + top_p: 1, + stream: false, + metadata: { user_id: "user-123" }, + tools: [ + { + name: "getWeather", + description: "Gets weather info", + input_schema: { location: { type: "string" } }, + }, + ], + tool_choice: { type: "auto" }, + } + const openAIPayload = translateToOpenAI(anthropicPayload) + expect(isValidChatCompletionRequest(openAIPayload)).toBe(true) + }) + + test("should handle missing fields gracefully", () => { + const anthropicPayload: AnthropicMessagesPayload = { + model: "gpt-4o", + messages: [{ role: "user", content: "Hello!" }], + max_tokens: 0, + } + const openAIPayload = translateToOpenAI(anthropicPayload) + expect(isValidChatCompletionRequest(openAIPayload)).toBe(true) + }) + + test("should handle invalid types in Anthropic payload", () => { + const anthropicPayload = { + model: "gpt-4o", + messages: [{ role: "user", content: "Hello!" }], + temperature: "hot", // Should be a number + } + // @ts-expect-error intended to be invalid + const openAIPayload = translateToOpenAI(anthropicPayload) + // Should fail validation + expect(isValidChatCompletionRequest(openAIPayload)).toBe(false) + }) + + test("should handle thinking blocks in assistant messages", () => { + const anthropicPayload: AnthropicMessagesPayload = { + model: "claude-3-5-sonnet-20241022", + messages: [ + { role: "user", content: "What is 2+2?" }, + { + role: "assistant", + content: [ + { + type: "thinking", + thinking: "Let me think about this simple math problem...", + }, + { type: "text", text: "2+2 equals 4." }, + ], + }, + ], + max_tokens: 100, + } + const openAIPayload = translateToOpenAI(anthropicPayload) + expect(isValidChatCompletionRequest(openAIPayload)).toBe(true) + + // Check that thinking content is combined with text content + const assistantMessage = openAIPayload.messages.find( + (m) => m.role === "assistant", + ) + expect(assistantMessage?.content).toContain( + "Let me think about this simple math problem...", + ) + expect(assistantMessage?.content).toContain("2+2 equals 4.") + }) + + test("should handle thinking blocks with tool calls", () => { + const anthropicPayload: AnthropicMessagesPayload = { + model: "claude-3-5-sonnet-20241022", + messages: [ + { role: "user", content: "What's the weather?" }, + { + role: "assistant", + content: [ + { + type: "thinking", + thinking: + "I need to call the weather API to get current weather information.", + }, + { type: "text", text: "I'll check the weather for you." }, + { + type: "tool_use", + id: "call_123", + name: "get_weather", + input: { location: "New York" }, + }, + ], + }, + ], + max_tokens: 100, + } + const openAIPayload = translateToOpenAI(anthropicPayload) + expect(isValidChatCompletionRequest(openAIPayload)).toBe(true) + + // Check that thinking content is included in the message content + const assistantMessage = openAIPayload.messages.find( + (m) => m.role === "assistant", + ) + expect(assistantMessage?.content).toContain( + "I need to call the weather API", + ) + expect(assistantMessage?.content).toContain( + "I'll check the weather for you.", + ) + expect(assistantMessage?.tool_calls).toHaveLength(1) + expect(assistantMessage?.tool_calls?.[0].function.name).toBe("get_weather") + }) +}) + +describe("OpenAI Chat Completion v1 Request Payload Validation with Zod", () => { + test("should return true for a minimal valid request payload", () => { + const validPayload = { + model: "gpt-4o", + messages: [{ role: "user", content: "Hello!" }], + } + expect(isValidChatCompletionRequest(validPayload)).toBe(true) + }) + + test("should return true for a comprehensive valid request payload", () => { + const validPayload = { + model: "gpt-4o", + messages: [ + { role: "system", content: "You are a helpful assistant." }, + { role: "user", content: "What is the weather like in Boston?" }, + ], + temperature: 0.7, + max_tokens: 150, + top_p: 1, + frequency_penalty: 0, + presence_penalty: 0, + stream: false, + n: 1, + } + expect(isValidChatCompletionRequest(validPayload)).toBe(true) + }) + + test('should return false if the "model" field is missing', () => { + const invalidPayload = { + messages: [{ role: "user", content: "Hello!" }], + } + expect(isValidChatCompletionRequest(invalidPayload)).toBe(false) + }) + + test('should return false if the "messages" field is missing', () => { + const invalidPayload = { + model: "gpt-4o", + } + expect(isValidChatCompletionRequest(invalidPayload)).toBe(false) + }) + + test('should return false if the "messages" array is empty', () => { + const invalidPayload = { + model: "gpt-4o", + messages: [], + } + expect(isValidChatCompletionRequest(invalidPayload)).toBe(false) + }) + + test('should return false if "model" is not a string', () => { + const invalidPayload = { + model: 12345, + messages: [{ role: "user", content: "Hello!" }], + } + expect(isValidChatCompletionRequest(invalidPayload)).toBe(false) + }) + + test('should return false if "messages" is not an array', () => { + const invalidPayload = { + model: "gpt-4o", + messages: { role: "user", content: "Hello!" }, + } + expect(isValidChatCompletionRequest(invalidPayload)).toBe(false) + }) + + test('should return false if a message in the "messages" array is missing a "role"', () => { + const invalidPayload = { + model: "gpt-4o", + messages: [{ content: "Hello!" }], + } + expect(isValidChatCompletionRequest(invalidPayload)).toBe(false) + }) + + test('should return false if a message in the "messages" array is missing "content"', () => { + const invalidPayload = { + model: "gpt-4o", + messages: [{ role: "user" }], + } + // Note: Zod considers 'undefined' as missing, so this will fail as expected. + const result = chatCompletionRequestSchema.safeParse(invalidPayload) + expect(result.success).toBe(false) + }) + + test('should return false if a message has an invalid "role"', () => { + const invalidPayload = { + model: "gpt-4o", + messages: [{ role: "customer", content: "Hello!" }], + } + expect(isValidChatCompletionRequest(invalidPayload)).toBe(false) + }) + + test("should return false if an optional field has an incorrect type", () => { + const invalidPayload = { + model: "gpt-4o", + messages: [{ role: "user", content: "Hello!" }], + temperature: "hot", // Should be a number + } + expect(isValidChatCompletionRequest(invalidPayload)).toBe(false) + }) + + test("should return false for a completely empty object", () => { + const invalidPayload = {} + expect(isValidChatCompletionRequest(invalidPayload)).toBe(false) + }) + + test("should return false for null or non-object payloads", () => { + expect(isValidChatCompletionRequest(null)).toBe(false) + expect(isValidChatCompletionRequest(undefined)).toBe(false) + expect(isValidChatCompletionRequest("a string")).toBe(false) + expect(isValidChatCompletionRequest(123)).toBe(false) + }) +}) diff --git a/tests/anthropic-response.test.ts b/tests/anthropic-response.test.ts new file mode 100644 index 000000000..ecd71aacc --- /dev/null +++ b/tests/anthropic-response.test.ts @@ -0,0 +1,365 @@ +import { describe, test, expect } from "bun:test" +import { z } from "zod" + +import type { + ChatCompletionChunk, + ChatCompletionResponse, +} from "~/services/copilot/create-chat-completions" + +import { type AnthropicStreamState } from "~/routes/messages/anthropic-types" +import { translateToAnthropic } from "~/routes/messages/non-stream-translation" +import { translateChunkToAnthropicEvents } from "~/routes/messages/stream-translation" + +const anthropicUsageSchema = z.object({ + input_tokens: z.number().int(), + output_tokens: z.number().int(), +}) + +const anthropicContentBlockTextSchema = z.object({ + type: z.literal("text"), + text: z.string(), +}) + +const anthropicContentBlockToolUseSchema = z.object({ + type: z.literal("tool_use"), + id: z.string(), + name: z.string(), + input: z.record(z.string(), z.any()), +}) + +const anthropicMessageResponseSchema = z.object({ + id: z.string(), + type: z.literal("message"), + role: z.literal("assistant"), + content: z.array( + z.union([ + anthropicContentBlockTextSchema, + anthropicContentBlockToolUseSchema, + ]), + ), + model: z.string(), + stop_reason: z.enum(["end_turn", "max_tokens", "stop_sequence", "tool_use"]), + stop_sequence: z.string().nullable(), + usage: anthropicUsageSchema, +}) + +/** + * Validates if a response payload conforms to the Anthropic Message shape. + * @param payload The response payload to validate. + * @returns True if the payload is valid, false otherwise. + */ +function isValidAnthropicResponse(payload: unknown): boolean { + return anthropicMessageResponseSchema.safeParse(payload).success +} + +const anthropicStreamEventSchema = z.looseObject({ + type: z.enum([ + "message_start", + "content_block_start", + "content_block_delta", + "content_block_stop", + "message_delta", + "message_stop", + ]), +}) + +function isValidAnthropicStreamEvent(payload: unknown): boolean { + return anthropicStreamEventSchema.safeParse(payload).success +} + +describe("OpenAI to Anthropic Non-Streaming Response Translation", () => { + test("should translate a simple text response correctly", () => { + const openAIResponse: ChatCompletionResponse = { + id: "chatcmpl-123", + object: "chat.completion", + created: 1677652288, + model: "gpt-4o-2024-05-13", + choices: [ + { + index: 0, + message: { + role: "assistant", + content: "Hello! How can I help you today?", + }, + finish_reason: "stop", + logprobs: null, + }, + ], + usage: { + prompt_tokens: 9, + completion_tokens: 12, + total_tokens: 21, + }, + } + + const anthropicResponse = translateToAnthropic(openAIResponse) + + expect(isValidAnthropicResponse(anthropicResponse)).toBe(true) + + expect(anthropicResponse.id).toBe("chatcmpl-123") + expect(anthropicResponse.stop_reason).toBe("end_turn") + expect(anthropicResponse.usage.input_tokens).toBe(9) + expect(anthropicResponse.content[0].type).toBe("text") + if (anthropicResponse.content[0].type === "text") { + expect(anthropicResponse.content[0].text).toBe( + "Hello! How can I help you today?", + ) + } else { + throw new Error("Expected text block") + } + }) + + test("should translate a response with tool calls", () => { + const openAIResponse: ChatCompletionResponse = { + id: "chatcmpl-456", + object: "chat.completion", + created: 1677652288, + model: "gpt-4o-2024-05-13", + choices: [ + { + index: 0, + message: { + role: "assistant", + content: null, + tool_calls: [ + { + id: "call_abc", + type: "function", + function: { + name: "get_current_weather", + arguments: '{"location": "Boston, MA"}', + }, + }, + ], + }, + finish_reason: "tool_calls", + logprobs: null, + }, + ], + usage: { + prompt_tokens: 30, + completion_tokens: 20, + total_tokens: 50, + }, + } + + const anthropicResponse = translateToAnthropic(openAIResponse) + + expect(isValidAnthropicResponse(anthropicResponse)).toBe(true) + + expect(anthropicResponse.stop_reason).toBe("tool_use") + expect(anthropicResponse.content[0].type).toBe("tool_use") + if (anthropicResponse.content[0].type === "tool_use") { + expect(anthropicResponse.content[0].id).toBe("call_abc") + expect(anthropicResponse.content[0].name).toBe("get_current_weather") + expect(anthropicResponse.content[0].input).toEqual({ + location: "Boston, MA", + }) + } else { + throw new Error("Expected tool_use block") + } + }) + + test("should translate a response stopped due to length", () => { + const openAIResponse: ChatCompletionResponse = { + id: "chatcmpl-789", + object: "chat.completion", + created: 1677652288, + model: "gpt-4o-2024-05-13", + choices: [ + { + index: 0, + message: { + role: "assistant", + content: "This is a very long response that was cut off...", + }, + finish_reason: "length", + logprobs: null, + }, + ], + usage: { + prompt_tokens: 10, + completion_tokens: 2048, + total_tokens: 2058, + }, + } + + const anthropicResponse = translateToAnthropic(openAIResponse) + + expect(isValidAnthropicResponse(anthropicResponse)).toBe(true) + expect(anthropicResponse.stop_reason).toBe("max_tokens") + }) +}) + +describe("OpenAI to Anthropic Streaming Response Translation", () => { + test("should translate a simple text stream correctly", () => { + const openAIStream: Array = [ + { + id: "cmpl-1", + object: "chat.completion.chunk", + created: 1677652288, + model: "gpt-4o-2024-05-13", + choices: [ + { + index: 0, + delta: { role: "assistant" }, + finish_reason: null, + logprobs: null, + }, + ], + }, + { + id: "cmpl-1", + object: "chat.completion.chunk", + created: 1677652288, + model: "gpt-4o-2024-05-13", + choices: [ + { + index: 0, + delta: { content: "Hello" }, + finish_reason: null, + logprobs: null, + }, + ], + }, + { + id: "cmpl-1", + object: "chat.completion.chunk", + created: 1677652288, + model: "gpt-4o-2024-05-13", + choices: [ + { + index: 0, + delta: { content: " there" }, + finish_reason: null, + logprobs: null, + }, + ], + }, + { + id: "cmpl-1", + object: "chat.completion.chunk", + created: 1677652288, + model: "gpt-4o-2024-05-13", + choices: [ + { index: 0, delta: {}, finish_reason: "stop", logprobs: null }, + ], + }, + ] + + const streamState: AnthropicStreamState = { + messageStartSent: false, + contentBlockIndex: 0, + contentBlockOpen: false, + toolCalls: {}, + } + const translatedStream = openAIStream.flatMap((chunk) => + translateChunkToAnthropicEvents(chunk, streamState), + ) + + for (const event of translatedStream) { + expect(isValidAnthropicStreamEvent(event)).toBe(true) + } + }) + + test("should translate a stream with tool calls", () => { + const openAIStream: Array = [ + { + id: "cmpl-2", + object: "chat.completion.chunk", + created: 1677652288, + model: "gpt-4o-2024-05-13", + choices: [ + { + index: 0, + delta: { role: "assistant" }, + finish_reason: null, + logprobs: null, + }, + ], + }, + { + id: "cmpl-2", + object: "chat.completion.chunk", + created: 1677652288, + model: "gpt-4o-2024-05-13", + choices: [ + { + index: 0, + delta: { + tool_calls: [ + { + index: 0, + id: "call_xyz", + type: "function", + function: { name: "get_weather", arguments: "" }, + }, + ], + }, + finish_reason: null, + logprobs: null, + }, + ], + }, + { + id: "cmpl-2", + object: "chat.completion.chunk", + created: 1677652288, + model: "gpt-4o-2024-05-13", + choices: [ + { + index: 0, + delta: { + tool_calls: [{ index: 0, function: { arguments: '{"loc' } }], + }, + finish_reason: null, + logprobs: null, + }, + ], + }, + { + id: "cmpl-2", + object: "chat.completion.chunk", + created: 1677652288, + model: "gpt-4o-2024-05-13", + choices: [ + { + index: 0, + delta: { + tool_calls: [ + { index: 0, function: { arguments: 'ation": "Paris"}' } }, + ], + }, + finish_reason: null, + logprobs: null, + }, + ], + }, + { + id: "cmpl-2", + object: "chat.completion.chunk", + created: 1677652288, + model: "gpt-4o-2024-05-13", + choices: [ + { index: 0, delta: {}, finish_reason: "tool_calls", logprobs: null }, + ], + }, + ] + + // Streaming translation requires state + const streamState: AnthropicStreamState = { + messageStartSent: false, + contentBlockIndex: 0, + contentBlockOpen: false, + toolCalls: {}, + } + const translatedStream = openAIStream.flatMap((chunk) => + translateChunkToAnthropicEvents(chunk, streamState), + ) + + // These tests will fail until the stub is implemented + for (const event of translatedStream) { + expect(isValidAnthropicStreamEvent(event)).toBe(true) + } + }) +}) diff --git a/tests/create-chat-completions.test.ts b/tests/create-chat-completions.test.ts new file mode 100644 index 000000000..d18e741aa --- /dev/null +++ b/tests/create-chat-completions.test.ts @@ -0,0 +1,56 @@ +import { test, expect, mock } from "bun:test" + +import type { ChatCompletionsPayload } from "../src/services/copilot/create-chat-completions" + +import { state } from "../src/lib/state" +import { createChatCompletions } from "../src/services/copilot/create-chat-completions" + +// Mock state +state.copilotToken = "test-token" +state.vsCodeVersion = "1.0.0" +state.accountType = "individual" + +// Helper to mock fetch +const fetchMock = mock( + (_url: string, opts: { headers: Record }) => { + return { + ok: true, + json: () => ({ id: "123", object: "chat.completion", choices: [] }), + headers: opts.headers, + } + }, +) +// @ts-expect-error - Mock fetch doesn't implement all fetch properties +;(globalThis as unknown as { fetch: typeof fetch }).fetch = fetchMock + +test("sets X-Initiator to agent if tool/assistant present", async () => { + const payload: ChatCompletionsPayload = { + messages: [ + { role: "user", content: "hi" }, + { role: "tool", content: "tool call" }, + ], + model: "gpt-test", + } + await createChatCompletions(payload) + expect(fetchMock).toHaveBeenCalled() + const headers = ( + fetchMock.mock.calls[0][1] as { headers: Record } + ).headers + expect(headers["X-Initiator"]).toBe("agent") +}) + +test("sets X-Initiator to user if only user present", async () => { + const payload: ChatCompletionsPayload = { + messages: [ + { role: "user", content: "hi" }, + { role: "user", content: "hello again" }, + ], + model: "gpt-test", + } + await createChatCompletions(payload) + expect(fetchMock).toHaveBeenCalled() + const headers = ( + fetchMock.mock.calls[1][1] as { headers: Record } + ).headers + expect(headers["X-Initiator"]).toBe("user") +}) diff --git a/tsconfig.json b/tsconfig.json index bfff5e6b5..8ff821caf 100644 --- a/tsconfig.json +++ b/tsconfig.json @@ -5,6 +5,7 @@ "module": "ESNext", "skipLibCheck": true, + "allowJs": true, "moduleResolution": "Bundler", "moduleDetection": "force", "erasableSyntaxOnly": true, @@ -16,7 +17,6 @@ "noUnusedParameters": true, "noFallthroughCasesInSwitch": true, "noUncheckedSideEffectImports": true, - "baseUrl": ".", "paths": { "~/*": ["./src/*"] diff --git a/tsup.config.ts b/tsdown.config.ts similarity index 78% rename from tsup.config.ts rename to tsdown.config.ts index 4e0078731..60ef1cdcc 100644 --- a/tsup.config.ts +++ b/tsdown.config.ts @@ -1,4 +1,4 @@ -import { defineConfig } from "tsup" +import { defineConfig } from "tsdown" export default defineConfig({ entry: ["src/main.ts"], @@ -7,7 +7,7 @@ export default defineConfig({ target: "es2022", platform: "node", - minify: true, + sourcemap: true, clean: true, removeNodeProtocol: false,