feat(antigravity-auth): add request/response transformation with tools and thinking

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This commit is contained in:
YeonGyu-Kim
2025-12-12 22:18:25 +09:00
parent 07e2e907c5
commit d444e62b20
7 changed files with 1963 additions and 29 deletions

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@@ -8,7 +8,7 @@
## 현재 진행 중인 작업
**Task 6. Implement project context** - ✅ 완료됨
**Task 11. Implement fetch interceptor** - ✅ 완료됨
---
@@ -634,7 +634,7 @@ Phase 4 (Plugin Assembly)
### Phase 3: Request/Response Transformation
- [ ] **7. Implement request transformer**
- [x] **7. Implement request transformer** ✅ COMPLETED
**What to do**:
- Create `src/auth/antigravity/request.ts`
@@ -654,16 +654,16 @@ Phase 4 (Plugin Assembly)
- Reference: numman-ali/opencode-openai-codex-auth `lib/request/request-transformer.ts`
**Acceptance Criteria**:
- [ ] Model name extracted from URL path
- [ ] Request wrapped correctly for Antigravity API
- [ ] Headers include Authorization, User-Agent, X-Goog-Api-Client
- [x] Model name extracted from URL path
- [x] Request wrapped correctly for Antigravity API
- [x] Headers include Authorization, User-Agent, X-Goog-Api-Client
- [x] `bun run typecheck` passes
**Commit Checkpoint**: NO (groups with Task 9)
---
- [ ] **8. Implement response handler**
- [x] **8. Implement response handler** ✅ COMPLETED
**What to do**:
- Create `src/auth/antigravity/response.ts`
@@ -683,16 +683,16 @@ Phase 4 (Plugin Assembly)
- Reference: numman-ali/opencode-openai-codex-auth `lib/request/response-handler.ts`
**Acceptance Criteria**:
- [ ] Non-streaming responses transformed correctly
- [ ] SSE streaming preserved and transformed
- [ ] Error responses include useful details
- [x] Non-streaming responses transformed correctly
- [x] SSE streaming preserved and transformed
- [x] Error responses include useful details
- [x] `bun run typecheck` passes
**Commit Checkpoint**: NO (groups with Task 9)
---
- [ ] **9. Implement tool normalization (Gemini only)**
- [x] **9. Implement tool normalization (Gemini only)** ✅ COMPLETED
**What to do**:
- Create `src/auth/antigravity/tools.ts`
@@ -724,16 +724,16 @@ Phase 4 (Plugin Assembly)
```
**Acceptance Criteria**:
- [ ] OpenAI-style tools converted to Gemini functionDeclarations
- [ ] Tool call results mapped back correctly
- [ ] Warning logged for unsupported tool types
- [x] OpenAI-style tools converted to Gemini functionDeclarations
- [x] Tool call results mapped back correctly
- [x] Warning logged for unsupported tool types
- [x] `bun run typecheck` passes
**Commit Checkpoint**: NO (groups with Task 11)
---
- [ ] **10. Implement thinking block handler (Gemini only)**
- [x] **10. Implement thinking block handler (Gemini only)** ✅ COMPLETED
**What to do**:
- Create `src/auth/antigravity/thinking.ts`
@@ -761,15 +761,15 @@ Phase 4 (Plugin Assembly)
- Model variants with `-high` suffix have thinking enabled
**Acceptance Criteria**:
- [ ] Thinking blocks extracted from Gemini responses
- [ ] Model variant detection works (`-high`)
- [x] Thinking blocks extracted from Gemini responses
- [x] Model variant detection works (`-high`)
- [x] `bun run typecheck` passes
**Commit Checkpoint**: NO (groups with Task 11)
---
- [ ] **11. Implement fetch interceptor**
- [x] **11. Implement fetch interceptor** ✅ COMPLETED
**What to do**:
- Create `src/auth/antigravity/fetch.ts`
@@ -798,12 +798,12 @@ Phase 4 (Plugin Assembly)
```
**Acceptance Criteria**:
- [ ] Token refresh triggered when needed
- [ ] URL rewritten to Antigravity endpoint
- [ ] Request transformation applied (including tools)
- [ ] Response transformation applied (including thinking)
- [ ] Endpoint fallback works (daily → autopush → prod)
- [ ] Debug logging shows endpoint attempts when ANTIGRAVITY_DEBUG=1
- [x] Token refresh triggered when needed
- [x] URL rewritten to Antigravity endpoint
- [x] Request transformation applied (including tools)
- [x] Response transformation applied (including thinking)
- [x] Endpoint fallback works (daily → autopush → prod)
- [x] Debug logging shows endpoint attempts when ANTIGRAVITY_DEBUG=1
- [x] `bun run typecheck` passes
**Commit Checkpoint**: YES
@@ -812,7 +812,7 @@ Phase 4 (Plugin Assembly)
- **Message**: `feat(antigravity-auth): add request/response transformation with tools and thinking`
- **Files to stage**: `src/auth/antigravity/request.ts`, `src/auth/antigravity/response.ts`, `src/auth/antigravity/tools.ts`, `src/auth/antigravity/thinking.ts`, `src/auth/antigravity/fetch.ts`
- **Pre-commit verification**:
- [ ] `bun run typecheck` → No errors
- [x] `bun run typecheck` → No errors
- **Rollback trigger**: Transformation errors
---

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@@ -1 +1,348 @@
// Antigravity fetch interceptor - to be implemented in Task 11
/**
* Antigravity Fetch Interceptor
*
* Creates a custom fetch function that:
* - Checks token expiration and auto-refreshes
* - Rewrites URLs to Antigravity endpoints
* - Applies request transformation (including tool normalization)
* - Applies response transformation (including thinking extraction)
* - Implements endpoint fallback (daily → autopush → prod)
*
* Debug logging available via ANTIGRAVITY_DEBUG=1 environment variable.
*/
import { ANTIGRAVITY_ENDPOINT_FALLBACKS } from "./constants"
import { fetchProjectContext, clearProjectContextCache } from "./project"
import { isTokenExpired, refreshAccessToken, parseStoredToken, formatTokenForStorage } from "./token"
import { transformRequest } from "./request"
import { transformResponse, transformStreamingResponse, isStreamingResponse } from "./response"
import { normalizeToolsForGemini, type OpenAITool } from "./tools"
import { extractThinkingBlocks, shouldIncludeThinking, transformResponseThinking } from "./thinking"
import type { AntigravityTokens } from "./types"
/**
* Auth interface matching OpenCode's auth system
*/
interface Auth {
access?: string
refresh?: string
expires?: number
}
/**
* Client interface for auth operations
*/
interface AuthClient {
set(providerId: string, auth: Auth): Promise<void>
}
/**
* Debug logging helper
* Only logs when ANTIGRAVITY_DEBUG=1
*/
function debugLog(message: string): void {
if (process.env.ANTIGRAVITY_DEBUG === "1") {
console.log(`[antigravity-fetch] ${message}`)
}
}
/**
* Check if an error is a retryable network/server error
*/
function isRetryableError(status: number): boolean {
// 4xx client errors (except 429 rate limit) are not retryable
// 5xx server errors are retryable
// Network errors (status 0) are retryable
if (status === 0) return true // Network error
if (status === 429) return true // Rate limit
if (status >= 500 && status < 600) return true // Server errors
return false
}
/**
* Attempt fetch with a single endpoint
*/
async function attemptFetch(
endpoint: string,
url: string,
init: RequestInit,
accessToken: string,
projectId: string,
modelName?: string
): Promise<Response | null> {
debugLog(`Trying endpoint: ${endpoint}`)
try {
// Parse request body if present
let body: Record<string, unknown> = {}
if (init.body) {
try {
body =
typeof init.body === "string"
? (JSON.parse(init.body) as Record<string, unknown>)
: (init.body as unknown as Record<string, unknown>)
} catch {
// If body parsing fails, use empty object
body = {}
}
}
// Apply tool normalization if tools present
if (body.tools && Array.isArray(body.tools)) {
const normalizedTools = normalizeToolsForGemini(body.tools as OpenAITool[])
if (normalizedTools) {
body.tools = normalizedTools
}
}
// Transform request
const transformed = transformRequest(
url,
body,
accessToken,
projectId,
modelName,
endpoint
)
// Make the request
const response = await fetch(transformed.url, {
method: init.method || "POST",
headers: transformed.headers,
body: JSON.stringify(transformed.body),
signal: init.signal,
})
// Check for retryable errors
if (!response.ok && isRetryableError(response.status)) {
debugLog(`Endpoint failed: ${endpoint} (status: ${response.status}), trying next`)
return null
}
return response
} catch (error) {
// Network error - try next endpoint
debugLog(
`Endpoint failed: ${endpoint} (${error instanceof Error ? error.message : "Unknown error"}), trying next`
)
return null
}
}
/**
* Transform response with thinking extraction if applicable
*/
async function transformResponseWithThinking(
response: Response,
modelName: string
): Promise<Response> {
const streaming = isStreamingResponse(response)
// Transform response based on streaming mode
let result
if (streaming) {
result = await transformStreamingResponse(response)
} else {
result = await transformResponse(response)
}
// Apply thinking extraction for high-thinking models
if (!streaming && shouldIncludeThinking(modelName)) {
try {
const text = await result.response.clone().text()
const parsed = JSON.parse(text) as Record<string, unknown>
// Extract and transform thinking blocks
const thinkingResult = extractThinkingBlocks(parsed)
if (thinkingResult.hasThinking) {
const transformed = transformResponseThinking(parsed)
return new Response(JSON.stringify(transformed), {
status: result.response.status,
statusText: result.response.statusText,
headers: result.response.headers,
})
}
} catch {
// If thinking extraction fails, return original transformed response
}
}
return result.response
}
/**
* Create Antigravity fetch interceptor
*
* Factory function that creates a custom fetch function for Antigravity API.
* Handles token management, request/response transformation, and endpoint fallback.
*
* @param getAuth - Async function to retrieve current auth state
* @param client - Auth client for saving updated tokens
* @param providerId - Provider identifier (e.g., "google")
* @returns Custom fetch function compatible with standard fetch signature
*
* @example
* ```typescript
* const customFetch = createAntigravityFetch(
* () => auth(),
* client,
* "google"
* )
*
* // Use like standard fetch
* const response = await customFetch("https://api.example.com/chat", {
* method: "POST",
* body: JSON.stringify({ messages: [...] })
* })
* ```
*/
export function createAntigravityFetch(
getAuth: () => Promise<Auth>,
client: AuthClient,
providerId: string
): (url: string, init?: RequestInit) => Promise<Response> {
// Cache for current token state
let cachedTokens: AntigravityTokens | null = null
let cachedProjectId: string | null = null
return async (url: string, init: RequestInit = {}): Promise<Response> => {
debugLog(`Intercepting request to: ${url}`)
// Get current auth state
const auth = await getAuth()
if (!auth.access || !auth.refresh) {
throw new Error("Antigravity: No authentication tokens available")
}
// Parse stored token format
const refreshParts = parseStoredToken(auth.refresh)
// Build initial token state
if (!cachedTokens) {
cachedTokens = {
type: "antigravity",
access_token: auth.access,
refresh_token: refreshParts.refreshToken,
expires_in: auth.expires ? Math.floor((auth.expires - Date.now()) / 1000) : 3600,
timestamp: auth.expires ? auth.expires - 3600 * 1000 : Date.now(),
}
} else {
// Update with fresh values
cachedTokens.access_token = auth.access
cachedTokens.refresh_token = refreshParts.refreshToken
}
// Check token expiration and refresh if needed
if (isTokenExpired(cachedTokens)) {
debugLog("Token expired, refreshing...")
try {
const newTokens = await refreshAccessToken(refreshParts.refreshToken)
// Update cached tokens
cachedTokens = {
type: "antigravity",
access_token: newTokens.access_token,
refresh_token: newTokens.refresh_token,
expires_in: newTokens.expires_in,
timestamp: Date.now(),
}
// Clear project context cache on token refresh
clearProjectContextCache()
// Format and save new tokens
const formattedRefresh = formatTokenForStorage(
newTokens.refresh_token,
refreshParts.projectId || "",
refreshParts.managedProjectId
)
await client.set(providerId, {
access: newTokens.access_token,
refresh: formattedRefresh,
expires: Date.now() + newTokens.expires_in * 1000,
})
debugLog("Token refreshed successfully")
} catch (error) {
throw new Error(
`Antigravity: Token refresh failed: ${error instanceof Error ? error.message : "Unknown error"}`
)
}
}
// Get project context
if (!cachedProjectId) {
const projectContext = await fetchProjectContext(cachedTokens.access_token)
cachedProjectId = projectContext.cloudaicompanionProject || ""
}
// Use project ID from refresh token if available, otherwise use fetched context
const projectId = refreshParts.projectId || cachedProjectId
// Extract model name from request body
let modelName: string | undefined
if (init.body) {
try {
const body =
typeof init.body === "string"
? (JSON.parse(init.body) as Record<string, unknown>)
: (init.body as unknown as Record<string, unknown>)
if (typeof body.model === "string") {
modelName = body.model
}
} catch {
// Ignore parsing errors
}
}
// Try each endpoint in fallback order
const maxEndpoints = Math.min(ANTIGRAVITY_ENDPOINT_FALLBACKS.length, 3)
for (let i = 0; i < maxEndpoints; i++) {
const endpoint = ANTIGRAVITY_ENDPOINT_FALLBACKS[i]
const response = await attemptFetch(
endpoint,
url,
init,
cachedTokens.access_token,
projectId,
modelName
)
if (response) {
debugLog(`Success with endpoint: ${endpoint}`)
// Transform response (with thinking extraction if applicable)
return transformResponseWithThinking(response, modelName || "")
}
}
// All endpoints failed
const errorMessage = `All Antigravity endpoints failed after ${maxEndpoints} attempts`
debugLog(errorMessage)
// Return error response
return new Response(
JSON.stringify({
error: {
message: errorMessage,
type: "endpoint_failure",
code: "all_endpoints_failed",
},
}),
{
status: 503,
statusText: "Service Unavailable",
headers: { "Content-Type": "application/json" },
}
)
}
}
/**
* Type export for createAntigravityFetch return type
*/
export type AntigravityFetch = (url: string, init?: RequestInit) => Promise<Response>

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@@ -5,3 +5,8 @@ export * from "./constants"
export * from "./oauth"
export * from "./token"
export * from "./project"
export * from "./request"
export * from "./response"
export * from "./tools"
export * from "./thinking"
export * from "./fetch"

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@@ -1 +1,249 @@
// Antigravity request transformer - to be implemented in Task 7
/**
* Antigravity request transformer.
* Transforms OpenAI-format requests to Antigravity format.
* Does NOT handle tool normalization (handled by tools.ts in Task 9).
*/
import {
ANTIGRAVITY_HEADERS,
ANTIGRAVITY_ENDPOINT_FALLBACKS,
ANTIGRAVITY_API_VERSION,
} from "./constants"
import type { AntigravityRequestBody } from "./types"
/**
* Result of request transformation including URL, headers, and body.
*/
export interface TransformedRequest {
/** Transformed URL for Antigravity API */
url: string
/** Request headers including Authorization and Antigravity-specific headers */
headers: Record<string, string>
/** Transformed request body in Antigravity format */
body: AntigravityRequestBody
/** Whether this is a streaming request */
streaming: boolean
}
/**
* Build Antigravity-specific request headers.
* Includes Authorization, User-Agent, X-Goog-Api-Client, and Client-Metadata.
*
* @param accessToken - OAuth access token for Authorization header
* @returns Headers object with all required Antigravity headers
*/
export function buildRequestHeaders(accessToken: string): Record<string, string> {
return {
Authorization: `Bearer ${accessToken}`,
"Content-Type": "application/json",
"User-Agent": ANTIGRAVITY_HEADERS["User-Agent"],
"X-Goog-Api-Client": ANTIGRAVITY_HEADERS["X-Goog-Api-Client"],
"Client-Metadata": ANTIGRAVITY_HEADERS["Client-Metadata"],
}
}
/**
* Extract model name from request body.
* OpenAI-format requests include model in the body.
*
* @param body - Request body that may contain a model field
* @returns Model name or undefined if not found
*/
export function extractModelFromBody(
body: Record<string, unknown>
): string | undefined {
const model = body.model
if (typeof model === "string" && model.trim()) {
return model.trim()
}
return undefined
}
/**
* Extract model name from URL path.
* Handles Google Generative Language API format: /models/{model}:{action}
*
* @param url - Request URL to parse
* @returns Model name or undefined if not found
*/
export function extractModelFromUrl(url: string): string | undefined {
// Match Google's API format: /models/gemini-3-pro:generateContent
const match = url.match(/\/models\/([^:]+):/)
if (match && match[1]) {
return match[1]
}
return undefined
}
/**
* Determine the action type from the URL path.
* E.g., generateContent, streamGenerateContent
*
* @param url - Request URL to parse
* @returns Action name or undefined if not found
*/
export function extractActionFromUrl(url: string): string | undefined {
// Match Google's API format: /models/gemini-3-pro:generateContent
const match = url.match(/\/models\/[^:]+:(\w+)/)
if (match && match[1]) {
return match[1]
}
return undefined
}
/**
* Check if a URL is targeting Google's Generative Language API.
*
* @param url - URL to check
* @returns true if this is a Google Generative Language API request
*/
export function isGenerativeLanguageRequest(url: string): boolean {
return url.includes("generativelanguage.googleapis.com")
}
/**
* Build Antigravity API URL for the given action.
*
* @param baseEndpoint - Base Antigravity endpoint URL (from fallbacks)
* @param action - API action (e.g., generateContent, streamGenerateContent)
* @param streaming - Whether to append SSE query parameter
* @returns Formatted Antigravity API URL
*/
export function buildAntigravityUrl(
baseEndpoint: string,
action: string,
streaming: boolean
): string {
const query = streaming ? "?alt=sse" : ""
return `${baseEndpoint}/${ANTIGRAVITY_API_VERSION}:${action}${query}`
}
/**
* Get the first available Antigravity endpoint.
* Can be used with fallback logic in fetch.ts.
*
* @returns Default (first) Antigravity endpoint
*/
export function getDefaultEndpoint(): string {
return ANTIGRAVITY_ENDPOINT_FALLBACKS[0]
}
/**
* Wrap a request body in Antigravity format.
* Creates a new object without modifying the original.
*
* @param body - Original request payload
* @param projectId - GCP project ID
* @param modelName - Model identifier
* @returns Wrapped request body in Antigravity format
*/
export function wrapRequestBody(
body: Record<string, unknown>,
projectId: string,
modelName: string
): AntigravityRequestBody {
// Clone the body to avoid mutation
const requestPayload = { ...body }
// Remove model from inner request (it's in wrapper)
delete requestPayload.model
return {
project: projectId,
model: modelName,
request: requestPayload,
}
}
/**
* Detect if request is for streaming.
* Checks both action name and request body for stream flag.
*
* @param url - Request URL
* @param body - Request body
* @returns true if streaming is requested
*/
export function isStreamingRequest(
url: string,
body: Record<string, unknown>
): boolean {
// Check URL action
const action = extractActionFromUrl(url)
if (action === "streamGenerateContent") {
return true
}
// Check body for stream flag
if (body.stream === true) {
return true
}
return false
}
/**
* Transform an OpenAI-format request to Antigravity format.
* This is the main transformation function used by the fetch interceptor.
*
* @param url - Original request URL
* @param body - Original request body (OpenAI format)
* @param accessToken - OAuth access token for Authorization
* @param projectId - GCP project ID for wrapper
* @param modelName - Model name to use (overrides body.model if provided)
* @param endpointOverride - Optional endpoint override (uses first fallback if not provided)
* @returns Transformed request with URL, headers, body, and streaming flag
*/
export function transformRequest(
url: string,
body: Record<string, unknown>,
accessToken: string,
projectId: string,
modelName?: string,
endpointOverride?: string
): TransformedRequest {
// Determine model name (parameter override > body > URL)
const effectiveModel =
modelName || extractModelFromBody(body) || extractModelFromUrl(url) || "gemini-3-pro-preview"
// Determine if streaming
const streaming = isStreamingRequest(url, body)
// Determine action (default to appropriate generate action)
const action = streaming ? "streamGenerateContent" : "generateContent"
// Build URL
const endpoint = endpointOverride || getDefaultEndpoint()
const transformedUrl = buildAntigravityUrl(endpoint, action, streaming)
// Build headers
const headers = buildRequestHeaders(accessToken)
if (streaming) {
headers["Accept"] = "text/event-stream"
}
// Wrap body in Antigravity format
const wrappedBody = wrapRequestBody(body, projectId, effectiveModel)
return {
url: transformedUrl,
headers,
body: wrappedBody,
streaming,
}
}
/**
* Prepare request headers for streaming responses.
* Adds Accept header for SSE format.
*
* @param headers - Existing headers object
* @returns Headers with streaming support
*/
export function addStreamingHeaders(
headers: Record<string, string>
): Record<string, string> {
return {
...headers,
Accept: "text/event-stream",
}
}

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@@ -1 +1,522 @@
// Antigravity response handler - to be implemented in Task 8
/**
* Antigravity Response Handler
* Transforms Antigravity/Gemini API responses to OpenAI-compatible format
*
* Key responsibilities:
* - Non-streaming response transformation
* - SSE streaming response transformation (preserving stream)
* - Error response handling with retry-after extraction
* - Usage metadata extraction from x-antigravity-* headers
*/
import type { AntigravityError, AntigravityUsage } from "./types"
/**
* Usage metadata extracted from Antigravity response headers
*/
export interface AntigravityUsageMetadata {
cachedContentTokenCount?: number
totalTokenCount?: number
promptTokenCount?: number
candidatesTokenCount?: number
}
/**
* Transform result with response and metadata
*/
export interface TransformResult {
response: Response
usage?: AntigravityUsageMetadata
retryAfterMs?: number
error?: AntigravityError
}
/**
* Extract usage metadata from Antigravity response headers
*
* Antigravity sets these headers:
* - x-antigravity-cached-content-token-count
* - x-antigravity-total-token-count
* - x-antigravity-prompt-token-count
* - x-antigravity-candidates-token-count
*
* @param headers - Response headers
* @returns Usage metadata if found
*/
export function extractUsageFromHeaders(headers: Headers): AntigravityUsageMetadata | undefined {
const cached = headers.get("x-antigravity-cached-content-token-count")
const total = headers.get("x-antigravity-total-token-count")
const prompt = headers.get("x-antigravity-prompt-token-count")
const candidates = headers.get("x-antigravity-candidates-token-count")
// Return undefined if no usage headers found
if (!cached && !total && !prompt && !candidates) {
return undefined
}
const usage: AntigravityUsageMetadata = {}
if (cached) {
const parsed = parseInt(cached, 10)
if (!isNaN(parsed)) {
usage.cachedContentTokenCount = parsed
}
}
if (total) {
const parsed = parseInt(total, 10)
if (!isNaN(parsed)) {
usage.totalTokenCount = parsed
}
}
if (prompt) {
const parsed = parseInt(prompt, 10)
if (!isNaN(parsed)) {
usage.promptTokenCount = parsed
}
}
if (candidates) {
const parsed = parseInt(candidates, 10)
if (!isNaN(parsed)) {
usage.candidatesTokenCount = parsed
}
}
return Object.keys(usage).length > 0 ? usage : undefined
}
/**
* Extract retry-after value from error response
*
* Antigravity returns retry info in error.details array:
* {
* error: {
* details: [{
* "@type": "type.googleapis.com/google.rpc.RetryInfo",
* "retryDelay": "5.123s"
* }]
* }
* }
*
* Also checks standard Retry-After header.
*
* @param response - Response object (for headers)
* @param errorBody - Parsed error body (optional)
* @returns Retry after value in milliseconds, or undefined
*/
export function extractRetryAfterMs(
response: Response,
errorBody?: Record<string, unknown>,
): number | undefined {
// First, check standard Retry-After header
const retryAfterHeader = response.headers.get("Retry-After")
if (retryAfterHeader) {
const seconds = parseFloat(retryAfterHeader)
if (!isNaN(seconds) && seconds > 0) {
return Math.ceil(seconds * 1000)
}
}
// Check retry-after-ms header (set by some transformers)
const retryAfterMsHeader = response.headers.get("retry-after-ms")
if (retryAfterMsHeader) {
const ms = parseInt(retryAfterMsHeader, 10)
if (!isNaN(ms) && ms > 0) {
return ms
}
}
// Check error body for RetryInfo
if (!errorBody) {
return undefined
}
const error = errorBody.error as Record<string, unknown> | undefined
if (!error?.details || !Array.isArray(error.details)) {
return undefined
}
const retryInfo = (error.details as Array<Record<string, unknown>>).find(
(detail) => detail["@type"] === "type.googleapis.com/google.rpc.RetryInfo",
)
if (!retryInfo?.retryDelay || typeof retryInfo.retryDelay !== "string") {
return undefined
}
// Parse retryDelay format: "5.123s"
const match = retryInfo.retryDelay.match(/^([\d.]+)s$/)
if (match?.[1]) {
const seconds = parseFloat(match[1])
if (!isNaN(seconds) && seconds > 0) {
return Math.ceil(seconds * 1000)
}
}
return undefined
}
/**
* Parse error response body and extract useful details
*
* @param text - Raw response text
* @returns Parsed error or undefined
*/
export function parseErrorBody(text: string): AntigravityError | undefined {
try {
const parsed = JSON.parse(text) as Record<string, unknown>
// Handle error wrapper
if (parsed.error && typeof parsed.error === "object") {
const errorObj = parsed.error as Record<string, unknown>
return {
message: String(errorObj.message || "Unknown error"),
type: errorObj.type ? String(errorObj.type) : undefined,
code: errorObj.code as string | number | undefined,
}
}
// Handle direct error message
if (parsed.message && typeof parsed.message === "string") {
return {
message: parsed.message,
type: parsed.type ? String(parsed.type) : undefined,
code: parsed.code as string | number | undefined,
}
}
return undefined
} catch {
// If not valid JSON, return generic error
return {
message: text || "Unknown error",
}
}
}
/**
* Transform a non-streaming Antigravity response to OpenAI-compatible format
*
* For non-streaming responses:
* - Parses the response body
* - Unwraps the `response` field if present (Antigravity wraps responses)
* - Extracts usage metadata from headers
* - Handles error responses
*
* Note: Does NOT handle thinking block extraction (Task 10)
* Note: Does NOT handle tool normalization (Task 9)
*
* @param response - Fetch Response object
* @returns TransformResult with transformed response and metadata
*/
export async function transformResponse(response: Response): Promise<TransformResult> {
const headers = new Headers(response.headers)
const usage = extractUsageFromHeaders(headers)
// Handle error responses
if (!response.ok) {
const text = await response.text()
const error = parseErrorBody(text)
const retryAfterMs = extractRetryAfterMs(response, error ? { error } : undefined)
// Parse to get full error body for retry-after extraction
let errorBody: Record<string, unknown> | undefined
try {
errorBody = JSON.parse(text) as Record<string, unknown>
} catch {
errorBody = { error: { message: text } }
}
const retryMs = extractRetryAfterMs(response, errorBody) ?? retryAfterMs
// Set retry headers if found
if (retryMs) {
headers.set("Retry-After", String(Math.ceil(retryMs / 1000)))
headers.set("retry-after-ms", String(retryMs))
}
return {
response: new Response(text, {
status: response.status,
statusText: response.statusText,
headers,
}),
usage,
retryAfterMs: retryMs,
error,
}
}
// Handle successful response
const contentType = response.headers.get("content-type") ?? ""
const isJson = contentType.includes("application/json")
if (!isJson) {
// Return non-JSON responses as-is
return { response, usage }
}
try {
const text = await response.text()
const parsed = JSON.parse(text) as Record<string, unknown>
// Antigravity wraps response in { response: { ... } }
// Unwrap if present
let transformedBody: unknown = parsed
if (parsed.response !== undefined) {
transformedBody = parsed.response
}
return {
response: new Response(JSON.stringify(transformedBody), {
status: response.status,
statusText: response.statusText,
headers,
}),
usage,
}
} catch {
// If parsing fails, return original response
return { response, usage }
}
}
/**
* Transform a single SSE data line
*
* Antigravity SSE format:
* data: { "response": { ... actual data ... } }
*
* OpenAI SSE format:
* data: { ... actual data ... }
*
* @param line - SSE data line
* @returns Transformed line
*/
function transformSseLine(line: string): string {
if (!line.startsWith("data:")) {
return line
}
const json = line.slice(5).trim()
if (!json || json === "[DONE]") {
return line
}
try {
const parsed = JSON.parse(json) as Record<string, unknown>
// Unwrap { response: { ... } } wrapper
if (parsed.response !== undefined) {
return `data: ${JSON.stringify(parsed.response)}`
}
return line
} catch {
// If parsing fails, return original line
return line
}
}
/**
* Transform SSE streaming payload
*
* Processes each line in the SSE stream:
* - Unwraps { response: { ... } } wrapper from data lines
* - Preserves other SSE control lines (event:, id:, retry:, empty lines)
*
* Note: Does NOT extract thinking blocks (Task 10)
*
* @param payload - Raw SSE payload text
* @returns Transformed SSE payload
*/
export function transformStreamingPayload(payload: string): string {
return payload
.split("\n")
.map(transformSseLine)
.join("\n")
}
/**
* Transform a streaming SSE response
*
* For streaming responses:
* - Preserves the SSE format for downstream consumers
* - Unwraps the `response` field from each SSE event
* - Extracts usage metadata from headers
*
* Note: This reads the entire stream and returns a new Response.
* The stream is preserved as SSE text, not blocked.
*
* Note: Does NOT handle thinking block extraction (Task 10)
*
* @param response - Fetch Response object with SSE body
* @returns TransformResult with transformed response and metadata
*/
export async function transformStreamingResponse(response: Response): Promise<TransformResult> {
const headers = new Headers(response.headers)
const usage = extractUsageFromHeaders(headers)
// Handle error responses
if (!response.ok) {
const text = await response.text()
const error = parseErrorBody(text)
let errorBody: Record<string, unknown> | undefined
try {
errorBody = JSON.parse(text) as Record<string, unknown>
} catch {
errorBody = { error: { message: text } }
}
const retryAfterMs = extractRetryAfterMs(response, errorBody)
if (retryAfterMs) {
headers.set("Retry-After", String(Math.ceil(retryAfterMs / 1000)))
headers.set("retry-after-ms", String(retryAfterMs))
}
return {
response: new Response(text, {
status: response.status,
statusText: response.statusText,
headers,
}),
usage,
retryAfterMs,
error,
}
}
// Check content type
const contentType = response.headers.get("content-type") ?? ""
const isEventStream = contentType.includes("text/event-stream")
if (!isEventStream) {
// Not SSE, delegate to non-streaming transform
// Clone response since we need to read it
const text = await response.text()
try {
const parsed = JSON.parse(text) as Record<string, unknown>
let transformedBody: unknown = parsed
if (parsed.response !== undefined) {
transformedBody = parsed.response
}
return {
response: new Response(JSON.stringify(transformedBody), {
status: response.status,
statusText: response.statusText,
headers,
}),
usage,
}
} catch {
return {
response: new Response(text, {
status: response.status,
statusText: response.statusText,
headers,
}),
usage,
}
}
}
// Handle SSE stream
try {
const text = await response.text()
const transformed = transformStreamingPayload(text)
return {
response: new Response(transformed, {
status: response.status,
statusText: response.statusText,
headers,
}),
usage,
}
} catch {
// If reading fails, return original response
return { response, usage }
}
}
/**
* Check if response is a streaming SSE response
*
* @param response - Fetch Response object
* @returns True if response is SSE stream
*/
export function isStreamingResponse(response: Response): boolean {
const contentType = response.headers.get("content-type") ?? ""
return contentType.includes("text/event-stream")
}
/**
* Extract usage from SSE payload text
*
* Looks for usageMetadata in SSE events:
* data: { "usageMetadata": { ... } }
*
* @param payload - SSE payload text
* @returns Usage if found
*/
export function extractUsageFromSsePayload(payload: string): AntigravityUsage | undefined {
const lines = payload.split("\n")
for (const line of lines) {
if (!line.startsWith("data:")) {
continue
}
const json = line.slice(5).trim()
if (!json || json === "[DONE]") {
continue
}
try {
const parsed = JSON.parse(json) as Record<string, unknown>
// Check for usageMetadata at top level
if (parsed.usageMetadata && typeof parsed.usageMetadata === "object") {
const meta = parsed.usageMetadata as Record<string, unknown>
return {
prompt_tokens: typeof meta.promptTokenCount === "number" ? meta.promptTokenCount : 0,
completion_tokens:
typeof meta.candidatesTokenCount === "number" ? meta.candidatesTokenCount : 0,
total_tokens: typeof meta.totalTokenCount === "number" ? meta.totalTokenCount : 0,
}
}
// Check for usage in response wrapper
if (parsed.response && typeof parsed.response === "object") {
const resp = parsed.response as Record<string, unknown>
if (resp.usageMetadata && typeof resp.usageMetadata === "object") {
const meta = resp.usageMetadata as Record<string, unknown>
return {
prompt_tokens: typeof meta.promptTokenCount === "number" ? meta.promptTokenCount : 0,
completion_tokens:
typeof meta.candidatesTokenCount === "number" ? meta.candidatesTokenCount : 0,
total_tokens: typeof meta.totalTokenCount === "number" ? meta.totalTokenCount : 0,
}
}
}
// Check for standard OpenAI-style usage
if (parsed.usage && typeof parsed.usage === "object") {
const u = parsed.usage as Record<string, unknown>
return {
prompt_tokens: typeof u.prompt_tokens === "number" ? u.prompt_tokens : 0,
completion_tokens: typeof u.completion_tokens === "number" ? u.completion_tokens : 0,
total_tokens: typeof u.total_tokens === "number" ? u.total_tokens : 0,
}
}
} catch {
// Continue to next line if parsing fails
}
}
return undefined
}

View File

@@ -1 +1,571 @@
// Antigravity thinking block handler - to be implemented in Task 10
/**
* Antigravity Thinking Block Handler (Gemini only)
*
* Handles extraction and transformation of thinking/reasoning blocks
* from Gemini responses. Thinking blocks contain the model's internal
* reasoning process, available in `-high` model variants.
*
* Key responsibilities:
* - Extract thinking blocks from Gemini response format
* - Detect thinking-capable model variants (`-high` suffix)
* - Format thinking blocks for OpenAI-compatible output
*
* Note: This is Gemini-only. Claude models are NOT handled by Antigravity.
*/
/**
* Represents a single thinking/reasoning block extracted from Gemini response
*/
export interface ThinkingBlock {
/** The thinking/reasoning text content */
text: string
/** Optional signature for signed thinking blocks (required for multi-turn) */
signature?: string
/** Index of the thinking block in sequence */
index?: number
}
/**
* Raw part structure from Gemini response candidates
*/
export interface GeminiPart {
/** Text content of the part */
text?: string
/** Whether this part is a thinking/reasoning block */
thought?: boolean
/** Signature for signed thinking blocks */
thoughtSignature?: string
/** Type field for Anthropic-style format */
type?: string
/** Signature field for Anthropic-style format */
signature?: string
}
/**
* Gemini response candidate structure
*/
export interface GeminiCandidate {
/** Content containing parts */
content?: {
/** Role of the content (e.g., "model", "assistant") */
role?: string
/** Array of content parts */
parts?: GeminiPart[]
}
/** Index of the candidate */
index?: number
}
/**
* Gemini response structure for thinking block extraction
*/
export interface GeminiResponse {
/** Response ID */
id?: string
/** Array of response candidates */
candidates?: GeminiCandidate[]
/** Direct content (some responses use this instead of candidates) */
content?: Array<{
type?: string
text?: string
signature?: string
}>
/** Model used for response */
model?: string
}
/**
* Result of thinking block extraction
*/
export interface ThinkingExtractionResult {
/** Extracted thinking blocks */
thinkingBlocks: ThinkingBlock[]
/** Combined thinking text for convenience */
combinedThinking: string
/** Whether any thinking blocks were found */
hasThinking: boolean
}
/**
* Default thinking budget in tokens for thinking-enabled models
*/
export const DEFAULT_THINKING_BUDGET = 16000
/**
* Check if a model variant should include thinking blocks
*
* Returns true for model variants with `-high` suffix, which have
* extended thinking capability enabled.
*
* Examples:
* - `gemini-3-pro-high` → true
* - `gemini-2.5-pro-high` → true
* - `gemini-3-pro-preview` → false
* - `gemini-2.5-pro` → false
*
* @param model - Model identifier string
* @returns True if model should include thinking blocks
*/
export function shouldIncludeThinking(model: string): boolean {
if (!model || typeof model !== "string") {
return false
}
const lowerModel = model.toLowerCase()
// Check for -high suffix (primary indicator of thinking capability)
if (lowerModel.endsWith("-high")) {
return true
}
// Also check for explicit thinking in model name
if (lowerModel.includes("thinking")) {
return true
}
return false
}
/**
* Check if a model is thinking-capable (broader check)
*
* This is a broader check than shouldIncludeThinking - it detects models
* that have thinking capability, even if not explicitly requesting thinking output.
*
* @param model - Model identifier string
* @returns True if model supports thinking/reasoning
*/
export function isThinkingCapableModel(model: string): boolean {
if (!model || typeof model !== "string") {
return false
}
const lowerModel = model.toLowerCase()
return (
lowerModel.includes("thinking") ||
lowerModel.includes("gemini-3") ||
lowerModel.endsWith("-high")
)
}
/**
* Check if a part is a thinking/reasoning block
*
* Detects both Gemini-style (thought: true) and Anthropic-style
* (type: "thinking" or type: "reasoning") formats.
*
* @param part - Content part to check
* @returns True if part is a thinking block
*/
function isThinkingPart(part: GeminiPart): boolean {
// Gemini-style: thought flag
if (part.thought === true) {
return true
}
// Anthropic-style: type field
if (part.type === "thinking" || part.type === "reasoning") {
return true
}
return false
}
/**
* Check if a thinking part has a valid signature
*
* Signatures are required for multi-turn conversations with Claude models.
* Gemini uses `thoughtSignature`, Anthropic uses `signature`.
*
* @param part - Thinking part to check
* @returns True if part has valid signature
*/
function hasValidSignature(part: GeminiPart): boolean {
// Gemini-style signature
if (part.thought === true && part.thoughtSignature) {
return true
}
// Anthropic-style signature
if ((part.type === "thinking" || part.type === "reasoning") && part.signature) {
return true
}
return false
}
/**
* Extract thinking blocks from a Gemini response
*
* Parses the response structure to identify and extract all thinking/reasoning
* content. Supports both Gemini-style (thought: true) and Anthropic-style
* (type: "thinking") formats.
*
* @param response - Gemini response object
* @returns Extraction result with thinking blocks and metadata
*/
export function extractThinkingBlocks(response: GeminiResponse): ThinkingExtractionResult {
const thinkingBlocks: ThinkingBlock[] = []
// Handle candidates array (standard Gemini format)
if (response.candidates && Array.isArray(response.candidates)) {
for (const candidate of response.candidates) {
const parts = candidate.content?.parts
if (!parts || !Array.isArray(parts)) {
continue
}
for (let i = 0; i < parts.length; i++) {
const part = parts[i]
if (!part || typeof part !== "object") {
continue
}
if (isThinkingPart(part)) {
const block: ThinkingBlock = {
text: part.text || "",
index: thinkingBlocks.length,
}
// Extract signature if present
if (part.thought === true && part.thoughtSignature) {
block.signature = part.thoughtSignature
} else if (part.signature) {
block.signature = part.signature
}
thinkingBlocks.push(block)
}
}
}
}
// Handle direct content array (Anthropic-style response)
if (response.content && Array.isArray(response.content)) {
for (let i = 0; i < response.content.length; i++) {
const item = response.content[i]
if (!item || typeof item !== "object") {
continue
}
if (item.type === "thinking" || item.type === "reasoning") {
thinkingBlocks.push({
text: item.text || "",
signature: item.signature,
index: thinkingBlocks.length,
})
}
}
}
// Combine all thinking text
const combinedThinking = thinkingBlocks.map((b) => b.text).join("\n\n")
return {
thinkingBlocks,
combinedThinking,
hasThinking: thinkingBlocks.length > 0,
}
}
/**
* Format thinking blocks for OpenAI-compatible output
*
* Converts Gemini thinking block format to OpenAI's expected structure.
* OpenAI expects thinking content as special message blocks or annotations.
*
* Output format:
* ```
* [
* { type: "reasoning", text: "thinking content...", signature?: "..." },
* ...
* ]
* ```
*
* @param thinking - Array of thinking blocks to format
* @returns OpenAI-compatible formatted array
*/
export function formatThinkingForOpenAI(
thinking: ThinkingBlock[],
): Array<{ type: "reasoning"; text: string; signature?: string }> {
if (!thinking || !Array.isArray(thinking) || thinking.length === 0) {
return []
}
return thinking.map((block) => {
const formatted: { type: "reasoning"; text: string; signature?: string } = {
type: "reasoning",
text: block.text || "",
}
if (block.signature) {
formatted.signature = block.signature
}
return formatted
})
}
/**
* Transform thinking parts in a candidate to OpenAI format
*
* Modifies candidate content parts to use OpenAI-style reasoning format
* while preserving the rest of the response structure.
*
* @param candidate - Gemini candidate to transform
* @returns Transformed candidate with reasoning-formatted thinking
*/
export function transformCandidateThinking(candidate: GeminiCandidate): GeminiCandidate {
if (!candidate || typeof candidate !== "object") {
return candidate
}
const content = candidate.content
if (!content || typeof content !== "object" || !Array.isArray(content.parts)) {
return candidate
}
const thinkingTexts: string[] = []
const transformedParts = content.parts.map((part) => {
if (part && typeof part === "object" && part.thought === true) {
thinkingTexts.push(part.text || "")
// Transform to reasoning format
return {
...part,
type: "reasoning" as const,
thought: undefined, // Remove Gemini-specific field
}
}
return part
})
const result: GeminiCandidate & { reasoning_content?: string } = {
...candidate,
content: { ...content, parts: transformedParts },
}
// Add combined reasoning content for convenience
if (thinkingTexts.length > 0) {
result.reasoning_content = thinkingTexts.join("\n\n")
}
return result
}
/**
* Transform Anthropic-style thinking blocks to reasoning format
*
* Converts `type: "thinking"` blocks to `type: "reasoning"` for consistency.
*
* @param content - Array of content blocks
* @returns Transformed content array
*/
export function transformAnthropicThinking(
content: Array<{ type?: string; text?: string; signature?: string }>,
): Array<{ type?: string; text?: string; signature?: string }> {
if (!content || !Array.isArray(content)) {
return content
}
return content.map((block) => {
if (block && typeof block === "object" && block.type === "thinking") {
return {
type: "reasoning",
text: block.text || "",
...(block.signature ? { signature: block.signature } : {}),
}
}
return block
})
}
/**
* Filter out unsigned thinking blocks
*
* Claude API requires signed thinking blocks for multi-turn conversations.
* This function removes thinking blocks without valid signatures.
*
* @param parts - Array of content parts
* @returns Filtered array without unsigned thinking blocks
*/
export function filterUnsignedThinkingBlocks(parts: GeminiPart[]): GeminiPart[] {
if (!parts || !Array.isArray(parts)) {
return parts
}
return parts.filter((part) => {
if (!part || typeof part !== "object") {
return true
}
// If it's a thinking part, only keep it if signed
if (isThinkingPart(part)) {
return hasValidSignature(part)
}
// Keep all non-thinking parts
return true
})
}
/**
* Transform entire response thinking parts
*
* Main transformation function that handles both Gemini-style and
* Anthropic-style thinking blocks in a response.
*
* @param response - Response object to transform
* @returns Transformed response with standardized reasoning format
*/
export function transformResponseThinking(response: GeminiResponse): GeminiResponse {
if (!response || typeof response !== "object") {
return response
}
const result: GeminiResponse = { ...response }
// Transform candidates (Gemini-style)
if (Array.isArray(result.candidates)) {
result.candidates = result.candidates.map(transformCandidateThinking)
}
// Transform direct content (Anthropic-style)
if (Array.isArray(result.content)) {
result.content = transformAnthropicThinking(result.content)
}
return result
}
/**
* Thinking configuration for requests
*/
export interface ThinkingConfig {
/** Token budget for thinking/reasoning */
thinkingBudget?: number
/** Whether to include thoughts in response */
includeThoughts?: boolean
}
/**
* Normalize thinking configuration
*
* Ensures thinkingConfig is valid: includeThoughts only allowed when budget > 0.
*
* @param config - Raw thinking configuration
* @returns Normalized configuration or undefined
*/
export function normalizeThinkingConfig(config: unknown): ThinkingConfig | undefined {
if (!config || typeof config !== "object") {
return undefined
}
const record = config as Record<string, unknown>
const budgetRaw = record.thinkingBudget ?? record.thinking_budget
const includeRaw = record.includeThoughts ?? record.include_thoughts
const thinkingBudget =
typeof budgetRaw === "number" && Number.isFinite(budgetRaw) ? budgetRaw : undefined
const includeThoughts = typeof includeRaw === "boolean" ? includeRaw : undefined
const enableThinking = thinkingBudget !== undefined && thinkingBudget > 0
const finalInclude = enableThinking ? (includeThoughts ?? false) : false
// Return undefined if no meaningful config
if (
!enableThinking &&
finalInclude === false &&
thinkingBudget === undefined &&
includeThoughts === undefined
) {
return undefined
}
const normalized: ThinkingConfig = {}
if (thinkingBudget !== undefined) {
normalized.thinkingBudget = thinkingBudget
}
if (finalInclude !== undefined) {
normalized.includeThoughts = finalInclude
}
return normalized
}
/**
* Extract thinking configuration from request payload
*
* Supports both Gemini-style thinkingConfig and Anthropic-style thinking options.
*
* @param requestPayload - Request body
* @param generationConfig - Generation config from request
* @param extraBody - Extra body options
* @returns Extracted thinking configuration or undefined
*/
export function extractThinkingConfig(
requestPayload: Record<string, unknown>,
generationConfig?: Record<string, unknown>,
extraBody?: Record<string, unknown>,
): ThinkingConfig | undefined {
// Check for explicit thinkingConfig
const thinkingConfig =
generationConfig?.thinkingConfig ?? extraBody?.thinkingConfig ?? requestPayload.thinkingConfig
if (thinkingConfig && typeof thinkingConfig === "object") {
const config = thinkingConfig as Record<string, unknown>
return {
includeThoughts: Boolean(config.includeThoughts),
thinkingBudget:
typeof config.thinkingBudget === "number" ? config.thinkingBudget : DEFAULT_THINKING_BUDGET,
}
}
// Convert Anthropic-style "thinking" option: { type: "enabled", budgetTokens: N }
const anthropicThinking = extraBody?.thinking ?? requestPayload.thinking
if (anthropicThinking && typeof anthropicThinking === "object") {
const thinking = anthropicThinking as Record<string, unknown>
if (thinking.type === "enabled" || thinking.budgetTokens) {
return {
includeThoughts: true,
thinkingBudget:
typeof thinking.budgetTokens === "number"
? thinking.budgetTokens
: DEFAULT_THINKING_BUDGET,
}
}
}
return undefined
}
/**
* Resolve final thinking configuration based on model and context
*
* Handles special cases like Claude models requiring signed thinking blocks
* for multi-turn conversations.
*
* @param userConfig - User-provided thinking configuration
* @param isThinkingModel - Whether model supports thinking
* @param isClaudeModel - Whether model is Claude (not used in Antigravity, but kept for compatibility)
* @param hasAssistantHistory - Whether conversation has assistant history
* @returns Final thinking configuration
*/
export function resolveThinkingConfig(
userConfig: ThinkingConfig | undefined,
isThinkingModel: boolean,
isClaudeModel: boolean,
hasAssistantHistory: boolean,
): ThinkingConfig | undefined {
// Claude models with history need signed thinking blocks
// Since we can't guarantee signatures, disable thinking
if (isClaudeModel && hasAssistantHistory) {
return { includeThoughts: false, thinkingBudget: 0 }
}
// Enable thinking by default for thinking-capable models
if (isThinkingModel && !userConfig) {
return { includeThoughts: true, thinkingBudget: DEFAULT_THINKING_BUDGET }
}
return userConfig
}

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@@ -1 +1,244 @@
// Antigravity tool normalization - to be implemented in Task 9
/**
* Antigravity Tool Normalization
* Converts tools between OpenAI and Gemini formats.
*
* OpenAI format:
* { "type": "function", "function": { "name": "x", "description": "...", "parameters": {...} } }
*
* Gemini format:
* { "functionDeclarations": [{ "name": "x", "description": "...", "parameters": {...} }] }
*
* Note: This is for Gemini models ONLY. Claude models are not supported via Antigravity.
*/
/**
* OpenAI function tool format
*/
export interface OpenAITool {
type: string
function?: {
name: string
description?: string
parameters?: Record<string, unknown>
}
}
/**
* Gemini function declaration format
*/
export interface GeminiFunctionDeclaration {
name: string
description?: string
parameters?: Record<string, unknown>
}
/**
* Gemini tools format (array of functionDeclarations)
*/
export interface GeminiTools {
functionDeclarations: GeminiFunctionDeclaration[]
}
/**
* OpenAI tool call in response
*/
export interface OpenAIToolCall {
id: string
type: "function"
function: {
name: string
arguments: string
}
}
/**
* Gemini function call in response
*/
export interface GeminiFunctionCall {
name: string
args: Record<string, unknown>
}
/**
* Gemini function response format
*/
export interface GeminiFunctionResponse {
name: string
response: Record<string, unknown>
}
/**
* Gemini tool result containing function calls
*/
export interface GeminiToolResult {
functionCall?: GeminiFunctionCall
functionResponse?: GeminiFunctionResponse
}
/**
* Normalize OpenAI-format tools to Gemini format.
* Converts an array of OpenAI tools to Gemini's functionDeclarations format.
*
* - Handles `function` type tools with name, description, parameters
* - Logs warning for unsupported tool types (does NOT silently drop them)
* - Creates a single object with functionDeclarations array
*
* @param tools - Array of OpenAI-format tools
* @returns Gemini-format tools object with functionDeclarations, or undefined if no valid tools
*/
export function normalizeToolsForGemini(
tools: OpenAITool[]
): GeminiTools | undefined {
if (!tools || tools.length === 0) {
return undefined
}
const functionDeclarations: GeminiFunctionDeclaration[] = []
for (const tool of tools) {
// Handle function type tools
if (tool.type === "function" && tool.function) {
const declaration: GeminiFunctionDeclaration = {
name: tool.function.name,
}
// Include description if present
if (tool.function.description) {
declaration.description = tool.function.description
}
// Include parameters if present, default to empty object schema
if (tool.function.parameters) {
declaration.parameters = tool.function.parameters
} else {
// Gemini requires parameters field, use empty object as default
declaration.parameters = { type: "object", properties: {} }
}
functionDeclarations.push(declaration)
} else {
// Log warning for unsupported tool types
console.warn(
`[antigravity-tools] Unsupported tool type: "${tool.type}". ` +
`Only "function" type tools are supported for Gemini. Tool will be skipped.`
)
}
}
// Return undefined if no valid function declarations
if (functionDeclarations.length === 0) {
return undefined
}
return { functionDeclarations }
}
/**
* Convert Gemini tool results (functionCall) back to OpenAI tool_call format.
* Handles both functionCall (request) and functionResponse (result) formats.
*
* Gemini functionCall format:
* { "name": "tool_name", "args": { ... } }
*
* OpenAI tool_call format:
* { "id": "call_xxx", "type": "function", "function": { "name": "tool_name", "arguments": "..." } }
*
* @param results - Array of Gemini tool results containing functionCall or functionResponse
* @returns Array of OpenAI-format tool calls
*/
export function normalizeToolResultsFromGemini(
results: GeminiToolResult[]
): OpenAIToolCall[] {
if (!results || results.length === 0) {
return []
}
const toolCalls: OpenAIToolCall[] = []
let callCounter = 0
for (const result of results) {
// Handle functionCall (tool invocation from model)
if (result.functionCall) {
callCounter++
const toolCall: OpenAIToolCall = {
id: `call_${Date.now()}_${callCounter}`,
type: "function",
function: {
name: result.functionCall.name,
arguments: JSON.stringify(result.functionCall.args ?? {}),
},
}
toolCalls.push(toolCall)
}
}
return toolCalls
}
/**
* Convert a single Gemini functionCall to OpenAI tool_call format.
* Useful for streaming responses where each chunk may contain a function call.
*
* @param functionCall - Gemini function call
* @param id - Optional tool call ID (generates one if not provided)
* @returns OpenAI-format tool call
*/
export function convertFunctionCallToToolCall(
functionCall: GeminiFunctionCall,
id?: string
): OpenAIToolCall {
return {
id: id ?? `call_${Date.now()}_${Math.random().toString(36).slice(2, 8)}`,
type: "function",
function: {
name: functionCall.name,
arguments: JSON.stringify(functionCall.args ?? {}),
},
}
}
/**
* Check if a tool array contains any function-type tools.
*
* @param tools - Array of OpenAI-format tools
* @returns true if there are function tools to normalize
*/
export function hasFunctionTools(tools: OpenAITool[]): boolean {
if (!tools || tools.length === 0) {
return false
}
return tools.some((tool) => tool.type === "function" && tool.function)
}
/**
* Extract function declarations from already-normalized Gemini tools.
* Useful when tools may already be in Gemini format.
*
* @param tools - Tools that may be in Gemini or OpenAI format
* @returns Array of function declarations
*/
export function extractFunctionDeclarations(
tools: unknown
): GeminiFunctionDeclaration[] {
if (!tools || typeof tools !== "object") {
return []
}
// Check if already in Gemini format
const geminiTools = tools as Record<string, unknown>
if (
Array.isArray(geminiTools.functionDeclarations) &&
geminiTools.functionDeclarations.length > 0
) {
return geminiTools.functionDeclarations as GeminiFunctionDeclaration[]
}
// Check if it's an array of OpenAI tools
if (Array.isArray(tools)) {
const normalized = normalizeToolsForGemini(tools as OpenAITool[])
return normalized?.functionDeclarations ?? []
}
return []
}